From 5a23e640067da54fee4df70e7538215f0f0c1c69 Mon Sep 17 00:00:00 2001 From: nournadar Date: Tue, 24 Jan 2023 12:29:32 +0300 Subject: [PATCH] v1.2.0 --- .gitmodules | 11 +- CMakeLists.txt | 1021 +- CryptoppMakeRulesOverwrite.cmake | 2 + Jenkinsfile | 236 +- LICENSE | 2 +- README.md | 75 +- VERSION.txt | 3 +- chameleon | 1 + cmake_modules/GenPkgConfig.cmake | 6 +- cmake_modules/PrintOpts.cmake | 4 +- .../dependencies/modules/find/FindGSL.cmake | 232 + .../dependencies/modules/find/FindMKL.cmake | 127 + .../dependencies/modules/find/FindMPI.cmake | 1757 + .../modules/find/FindNetCDF.cmake | 71 + .../find/FindPackageHandleStandardArgs.cmake | 605 + .../modules/find/FindPackageMessage.cmake | 48 + .../modules/import/ImportChameleon.cmake | 9 + .../modules/import/ImportDeps.cmake | 26 + .../modules/import/ImportGSL.cmake | 17 + .../modules/import/ImportHWLOC.cmake | 17 + .../modules/import/ImportHiCMA.cmake | 9 + .../modules/import/ImportNLOPT.cmake | 9 + 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= https://gitlab.inria.fr/solverstack/chameleon.git + branch = release-1.1.0 [submodule "hicma"] path = hicma - url = https://github.com/ecrc/hicma -[submodule "stars-h"] - path = stars-h - url = https://github.com/ecrc/stars-h + url = https://github.com/ecrc/hicma.git diff --git a/CMakeLists.txt b/CMakeLists.txt index 003c7ea..fb7fb2b 100755 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -1,14 +1,14 @@ -# @copyright (c) 2017 King Abdullah University of Science and +# @copyright (c) 2017-2023 King Abdullah University of Science and # Technology (KAUST). All rights reserved. # # ExaGeoStat is a software package, provided by King Abdullah # University of Science and Technology (KAUST) # # @file CMakeLists.txt -# @version 1.0.0 +# @version 1.2.0 # @author Eduardo Gonzalez Fisher # @author Sameh Abdulah -# @date 2019-04-30 +# @date 2022-11-09 ############################################################################### @@ -24,60 +24,45 @@ ############################################################################### #Minimum CMAKE version. -cmake_minimum_required(VERSION 3.2.3) - - +cmake_minimum_required(VERSION 2.8.12) # directly make an error if in-source build -if("${CMAKE_SOURCE_DIR}" STREQUAL "${CMAKE_BINARY_DIR}") - message(FATAL_ERROR "In-source builds are not allowed.\n" - "Please create a build directory first and execute cmake configuration from " - "this directory. Example: mkdir build && cd build && cmake ..") -endif() - -project(EXAGEOSTAT C ) +if ("${CMAKE_SOURCE_DIR}" STREQUAL "${CMAKE_BINARY_DIR}") + message(FATAL_ERROR "In-source builds are not allowed.\n" + "Please create a build directory first and execute cmake configuration from " + "this directory. Example: mkdir build && cd build && cmake ..") +endif () +project(EXAGEOSTAT C) # set project version number set(EXAGEOSTAT_VERSION_MAJOR 1) -set(EXAGEOSTAT_VERSION_MINOR 0) +set(EXAGEOSTAT_VERSION_MINOR 2) set(EXAGEOSTAT_VERSION_PATCH 0) -set(MORSE_CMAKE_DIR "" CACHE PATH "Directory of MORSE CMake modules, can be external to the project") - -## CMAKE MODULES :: ECRC -## REQUIRED FOR TESTS TO LINK LIBRARIES -if(NOT EXISTS "${PROJECT_SOURCE_DIR}/cmake_modules/ecrc/modules" ) +#set(CHAMELEON_CMAKE_DIR "" CACHE PATH "Directory of CHAMELEON CMake modules, can be external to the project") +# CMAKE MODULES :: ECRC +# REQUIRED FOR TESTS TO LINK LIBRARIES +if (NOT EXISTS "${PROJECT_SOURCE_DIR}/cmake_modules/ecrc/modules") find_package(Git REQUIRED) execute_process(COMMAND ${GIT_EXECUTABLE} submodule init WORKING_DIRECTORY ${PROJECT_SOURCE_DIR} RESULT_VARIABLE _res_init OUTPUT_QUIET ERROR_QUIET) execute_process(COMMAND ${GIT_EXECUTABLE} submodule update WORKING_DIRECTORY ${PROJECT_SOURCE_DIR} RESULT_VARIABLE _res_update OUTPUT_QUIET ERROR_QUIET) - if( ${_res_init} GREATER 0 OR ${_res_update} GREATER 0 ) + if (${_res_init} GREATER 0 OR ${_res_update} GREATER 0) message(FATAL_ERROR "ECRC CMake modules were not found.\n" - "We tried: 'git submodule init && git submodule update' and resulted in error" ) - endif() -endif() - -## ECRC INITIALIZATION + "We tried: 'git submodule init && git submodule update' and resulted in error") + endif () +endif () +# ECRC INITIALIZATION list(APPEND CMAKE_MODULE_PATH ${PROJECT_SOURCE_DIR}/cmake_modules) list(APPEND CMAKE_MODULE_PATH "${PROJECT_SOURCE_DIR}/cmake_modules/ecrc/modules") -set(ECRC_CMAKE_MODULE_PATH ${PROJECT_SOURCE_DIR}/cmake_modules/ecrc/modules ) +list(APPEND CMAKE_MODULE_PATH "${PROJECT_SOURCE_DIR}/cmake_modules/dependencies/modules/import") +set(ECRC_CMAKE_MODULE_PATH ${PROJECT_SOURCE_DIR}/cmake_modules/ecrc/modules) +set(ECRC_INSTALLATION_SCRIPTS_PATH ${PROJECT_SOURCE_DIR}/cmake_modules/dependencies/scripts) include(EcrcInit) include(GenPkgConfig) -# # Get Git working directory status and HEAD hash -# include(GetGitRevisionDescription) -# get_git_head_revision(GIT_REFSPEC GIT_SHA1) -# git_local_changes(GIT_DIRTY --ignore-submodules) -# if( ${GIT_DIRTY} STREQUAL "CLEAN" ) -# set( GIT_COMMIT_STATUS "${GIT_SHA1}" ) -# else() -# set( GIT_COMMIT_STATUS "${GIT_SHA1}-${GIT_DIRTY}" ) -# endif() -# add_definitions( "-DVERSION='${GIT_COMMIT_STATUS}'" ) -set( EXAGEOSTAT_VERSION ${EXAGEOSTAT_VERSION_MAJOR}.${EXAGEOSTAT_VERSION_MINOR}.${EXAGEOSTAT_VERSION_PATCH} ) -add_definitions( "-DVERSION=${EXAGEOSTAT_VERSION}" ) - - +set(EXAGEOSTAT_VERSION ${EXAGEOSTAT_VERSION_MAJOR}.${EXAGEOSTAT_VERSION_MINOR}.${EXAGEOSTAT_VERSION_PATCH}) +add_definitions("-DVERSION=${EXAGEOSTAT_VERSION}") include(FindPkgConfig) find_package(PkgConfig QUIET) @@ -88,7 +73,6 @@ find_package(PkgConfig QUIET) # # ############################################# - ############################################################################### # Parameters/Options # ###################### @@ -97,7 +81,7 @@ find_package(PkgConfig QUIET) # -------------------- # use, i.e. don't skip the full RPATH for the build tree -set(CMAKE_SKIP_BUILD_RPATH FALSE) +set(CMAKE_SKIP_BUILD_RPATH FALSE) # when building, don't use the install RPATH already # (but later on when installing) @@ -113,43 +97,50 @@ option(EXAGEOSTAT_EXAMPLES "Build ExaGeoStat Examples" ON) # Define precision supported by EXAGEOSTAT # ----------------------------------------- -set( RP_EXAGEOSTAT_DICTIONNARY ${PROJECT_SOURCE_DIR}/cmake_modules/morse_cmake/modules/precision_generator/subs.py ) -set( RP_EXAGEOSTAT_PRECISIONS "s;d;c;z" ) +set(RP_EXAGEOSTAT_DICTIONNARY ${PROJECT_SOURCE_DIR}/cmake_modules/ecrc/modules/precision_generator/subs.py) +set(RP_EXAGEOSTAT_PRECISIONS "s;d;c;z") include(RulesPrecisions) -# Options to select the runtime -# ----------------------------- - +# Install Dependencies for EXAGEOSTAT +# ------------------------------------ +if (EXAGEOSTAT_INSTALL_DEPS) + if (NOT DEFINED TMP_DIR) + string(RANDOM LENGTH 24 _s) + set(TMP_DIR ${CMAKE_CURRENT_BINARY_DIR}/${_s}) + execute_process(COMMAND mkdir -p ${TMP_DIR} RESULT_VARIABLE res) + endif () + include(ImportDeps) +endif () # Create a list of possible runtime set(EXAGEOSTAT_SCHED_list "STARPU" "QUARK") # Initially StarPU runtime is enabled option(EXAGEOSTAT_SCHED_STARPU - "Enable StarPU scheduler as the default runtime + "Enable StarPU scheduler as the default runtime (Conflict with other EXAGEOSTAT_SCHED_* options)" ON) option(EXAGEOSTAT_SCHED_QUARK - "Enable Quark scheduler as the default runtime - (Conflict with other EXAGEOSTAT_SCHED_* options)" OFF) + "Enable Quark scheduler as the default runtime + (Conflict with other EXAGEOSTAT_SCHED_* options)" OFF) # For now, we are able to compile only one runtime at a time, so we disable combinations of runtimes if (EXAGEOSTAT_SCHED_STARPU) set(EXAGEOSTAT_SCHED_QUARK OFF) elseif (EXAGEOSTAT_SCHED_QUARK) set(EXAGEOSTAT_SCHED_STARPU OFF) -endif() +endif () # Set default to StarPU if nothing specific is required by the user -if ( NOT EXAGEOSTAT_SCHED_STARPU AND NOT EXAGEOSTAT_SCHED_QUARK ) +if (NOT EXAGEOSTAT_SCHED_STARPU AND NOT EXAGEOSTAT_SCHED_QUARK) set(EXAGEOSTAT_SCHED_STARPU ON) -endif() +endif () if (EXAGEOSTAT_SCHED_STARPU) message("-- ${BoldGreen}EXAGEOSTAT_SCHED_STARPU is set to ON: EXAGEOSTAT uses StarPU runtime\n" " To use EXAGEOSTAT with Quark runtime: set EXAGEOSTAT_SCHED_QUARK to ON\n" " (EXAGEOSTAT_SCHED_STARPU will be disabled)${ColourReset}") -elseif(EXAGEOSTAT_SCHED_QUARK) +elseif (EXAGEOSTAT_SCHED_QUARK) message("-- ${BoldGreen}EXAGEOSTAT_SCHED_QUARK is set to ON: EXAGEOSTAT uses Quark runtime\n" " To use EXAGEOSTAT with StarPU runtime: set EXAGEOSTAT_SCHED_STARPU to ON\n" " (EXAGEOSTAT_SCHED_QUARK will be disabled)${ColourReset}") -endif() +endif () # Check that one, and only one, SCHED option is set to ON @@ -158,57 +149,44 @@ math(EXPR number_of_active_runtime 0) foreach (runtime ${EXAGEOSTAT_SCHED_list}) if (EXAGEOSTAT_SCHED_${runtime}) math(EXPR number_of_active_runtime "${number_of_active_runtime}+1") - endif() -endforeach() + endif () +endforeach () if (NOT number_of_active_runtime STREQUAL 1) message(FATAL_ERROR "Number of active runtime is ${number_of_active_runtime}, " "the user should activate one (and only one) runtime. ") -endif() +endif () # Warning if not coherent options if (EXAGEOSTAT_USE_MPI AND NOT EXAGEOSTAT_SCHED_STARPU) message(WARNING "You have activated MPI but EXAGEOSTAT_SCHED_STARPU is OFF.\n" - "You should use StarPU Runtime system if you want to benefit from MPI.\n" - "Use -DEXAGEOSTAT_SCHED_QUARK=OFF -DEXAGEOSTAT_SCHED_STARPU=ON at cmake \n" - "configure to do so.") -endif() + "You should use StarPU Runtime system if you want to benefit from MPI.\n" + "Use -DEXAGEOSTAT_SCHED_QUARK=OFF -DEXAGEOSTAT_SCHED_STARPU=ON at cmake \n" + "configure to do so.") +endif () # Additional options # ------------------ # Enable the distributed interface (allowed only when StarPU is enabled) -# TODO: Default should be changed to ON/OFF when it will be ok cmake_dependent_option(EXAGEOSTAT_USE_MPI - "Enable distributed memory through MPI" OFF - "EXAGEOSTAT_SCHED_STARPU" OFF) + "Enable distributed memory through MPI" OFF + "EXAGEOSTAT_SCHED_STARPU" OFF) if (NOT EXAGEOSTAT_USE_MPI) message("-- ${BoldGreen}EXAGEOSTAT_USE_MPI is set to OFF, turn it ON to use MPI (only with StarPU)${ColourReset}") -endif() +endif () # Enable NETCDF support if (NOT EXAGEOSTAT_USE_NETCDF) message("-- ${BoldGreen}EXAGEOSTAT_USE_NETCDF is set to OFF, turn it ON to enable NetCDF support${ColourReset}") -endif() - -# Enable HDF5 support -#if (NOT EXAGEOSTAT_USE_HDF5) -# message("-- ${BoldGreen}EXAGEOSTAT_USE_HDF5 is set to OFF, turn it ON to enable HDF5 support${ColourReset}") -#endif() - +endif () # Use intermediate variable since cmake_dependent_option doesn't have OR conditions set(EXAGEOSTAT_ENABLE_MPI OFF CACHE INTERNAL "Tells if MPI might be supported by the runtime") -if ( EXAGEOSTAT_SCHED_STARPU ) - set(EXAGEOSTAT_ENABLE_MPI ON FORCE) -endif() - -# Initially we need to generate files for different precisions -# TODO: use this option to avoid generate multiple precisions each time we launch cmake -#option(EXAGEOSTAT_GEN_PREC "Generate source files precisions" ON) -#------------------------------------------------------------------------------ - +if (EXAGEOSTAT_SCHED_STARPU) + set(EXAGEOSTAT_ENABLE_MPI ON FORCE) +endif () ############################################################################### # Look for dependencies # @@ -219,90 +197,88 @@ set(EXAGEOSTAT_DEP "") # ------------------------ set(CMAKE_THREAD_PREFER_PTHREAD TRUE) find_package(Threads REQUIRED) -if( THREADS_FOUND ) +if (THREADS_FOUND) list(APPEND EXTRA_LIBRARIES ${CMAKE_THREAD_LIBS_INIT}) endif () # Add math library to the list of extra # it normally exists on all common systems provided with a C compiler set(M_LIBRARIES "") -if(UNIX OR WIN32) +if (UNIX OR WIN32) find_library( - M_m_LIBRARY - NAMES m - ) + M_m_LIBRARY + NAMES m + ) mark_as_advanced(M_m_LIBRARY) if (M_m_LIBRARY) list(APPEND M_LIBRARIES "${M_m_LIBRARY}") list(APPEND EXTRA_LIBRARIES "${M_m_LIBRARY}") - else() + else () message(FATAL_ERROR "Could NOT find libm on your system." - " Are you sure to a have a C compiler installed?") - endif() -endif() + " Are you sure to a have a C compiler installed?") + endif () +endif () # Try to find librt (libposix4 - POSIX.1b Realtime Extensions library) # on Unix systems except Apple ones because it does not exist on it set(RT_LIBRARIES "") -if(UNIX AND NOT APPLE) +if (UNIX AND NOT APPLE) find_library( - RT_rt_LIBRARY - NAMES rt - ) + RT_rt_LIBRARY + NAMES rt + ) mark_as_advanced(RT_rt_LIBRARY) if (RT_rt_LIBRARY) list(APPEND RT_LIBRARIES "${RT_rt_LIBRARY}") list(APPEND EXTRA_LIBRARIES "${RT_rt_LIBRARY}") - else() + else () message(FATAL_ERROR "Could NOT find librt on your system") - endif() -endif() - - + endif () +endif () # EXAGEOSTAT depends on CBLAS #--------------------------- find_package(CBLAS COMPONENTS BLASEXT) -if(BLAS_FOUND) +if (BLAS_FOUND) if (BLAS_LIBRARY_DIRS) # the RPATH to be used when installing list(APPEND CMAKE_INSTALL_RPATH "${BLAS_LIBRARY_DIRS}") - endif() - if(BLAS_LINKER_FLAGS) + endif () + if (BLAS_LINKER_FLAGS) list(APPEND CMAKE_EXE_LINKER_FLAGS "${BLAS_LINKER_FLAGS}") - endif() -else() + endif () +else () message(FATAL_ERROR "BLAS library has not been found") -endif() -if(CBLAS_FOUND) +endif () +if (CBLAS_FOUND) include_directories(${CBLAS_INCLUDE_DIRS}) - if(CBLAS_LIBRARY_DIRS) + if (CBLAS_LIBRARY_DIRS) # the RPATH to be used when installing list(APPEND CMAKE_INSTALL_RPATH "${CBLAS_LIBRARY_DIRS}") - endif() + endif () if (CBLAS_LIBRARIES) if (CBLAS_LIBRARIES_DEP) list(INSERT EXAGEOSTAT_DEP 0 ${CBLAS_LIBRARIES_DEP}) - else() + else () list(INSERT EXAGEOSTAT_DEP 0 ${CBLAS_LIBRARIES}) - endif() - endif() -else() - if(ECRC_VERBOSE_FIND_PACKAGE) - if(CBLAS_STANDALONE OR NOT CBLAS_WORKS) + endif () + endif () +else () + if (ECRC_VERBOSE_FIND_PACKAGE) + if (CBLAS_STANDALONE OR NOT CBLAS_WORKS) if (NOT CBLAS_cblas.h_DIRS) Print_Find_Header_Status(cblas cblas.h) endif () if (NOT CBLAS_cblas_LIBRARY) Print_Find_Library_Status(cblas libcblas) endif () - endif() - else() + endif () + else () message(WARNING "CBLAS library has not been found and ECRC_VERBOSE_FIND_PACKAGE is set to OFF." - " Try to activate ECRC_VERBOSE_FIND_PACKAGE option (-DECRC_VERBOSE_FIND_PACKAGE=ON) to get some hints for the detection") - endif() + " Try to activate ECRC_VERBOSE_FIND_PACKAGE option (-DECRC_VERBOSE_FIND_PACKAGE=ON) to get some hints for the detection") + endif () message(FATAL_ERROR "A CBLAS library is required but has not been found") -endif() +endif () # EXAGEOSTAT depends on LAPACKE #----------------------------- @@ -311,30 +287,28 @@ endif() # functions in lapack library such as mkl, acml, ... #set(LAPACKE_STANDALONE TRUE) find_package(LAPACKE COMPONENTS LAPACKEXT) -if(LAPACK_FOUND AND LAPACK_LIBRARY_DIRS) +if (LAPACK_FOUND AND LAPACK_LIBRARY_DIRS) # the RPATH to be used when installing list(APPEND CMAKE_INSTALL_RPATH "${LAPACK_LIBRARY_DIRS}") -else() +else () message(FATAL_ERROR "A LAPACK library is required but has not been found") -endif() -if(LAPACKE_FOUND) +endif () +if (LAPACKE_FOUND) include_directories(${LAPACKE_INCLUDE_DIRS}) - if(LAPACKE_LIBRARY_DIRS) + if (LAPACKE_LIBRARY_DIRS) # the RPATH to be used when installing list(APPEND CMAKE_INSTALL_RPATH "${LAPACKE_LIBRARY_DIRS}") - endif() - if(LAPACKE_LINKER_FLAGS) - list(APPEND CMAKE_EXE_LINKER_FLAGS "${LAPACKE_LINKER_FLAGS}") - endif() + endif () + if (LAPACKE_LIBRARIES) if (LAPACKE_LIBRARIES_DEP) list(INSERT EXAGEOSTAT_DEP 0 ${LAPACKE_LIBRARIES_DEP}) - else() + else () list(INSERT EXAGEOSTAT_DEP 0 ${LAPACKE_LIBRARIES}) - endif() - endif() -else() - if(ECRC_VERBOSE_FIND_PACKAGE) + endif () + endif () +else () + if (ECRC_VERBOSE_FIND_PACKAGE) if (LAPACKE_STANDALONE OR NOT LAPACKE_WORKS) if (NOT LAPACKE_lapacke.h_DIRS) Print_Find_Header_Status(lapacke lapacke.h) @@ -342,348 +316,378 @@ else() if (NOT LAPACKE_lapacke_LIBRARY) Print_Find_Library_Status(lapacke liblapacke) endif () - endif() - else() + endif () + else () message(WARNING "LAPACKE library has not been found and ECRC_VERBOSE_FIND_PACKAGE is set to OFF." - " Try to activate ECRC_VERBOSE_FIND_PACKAGE option (-DECRC_VERBOSE_FIND_PACKAGE=ON) to get some hints for the detection") - endif() + " Try to activate ECRC_VERBOSE_FIND_PACKAGE option (-DECRC_VERBOSE_FIND_PACKAGE=ON) to get some hints for the detection") + endif () message(FATAL_ERROR "A LAPACKE library is required but has not been found") -endif() - - +endif () # EXAGEOSTAT depends on GPU #------------------------- -if(EXAGEOSTAT_USE_CUDA) - find_package(CUDA REQUIRED) - add_definitions(-DEXAGEOSTAT_USE_CUDA) -endif() - - +if (EXAGEOSTAT_USE_CUDA) + find_package(CUDA REQUIRED) + add_definitions(-DEXAGEOSTAT_USE_CUDA) +endif () # EXAGEOSTAT depends on MPI #------------------------- if (EXAGEOSTAT_USE_MPI) - # allows to use an external mpi compilation by setting compilers with # -DMPI_C_COMPILER=path/to/mpicc -DMPI_Fortran_COMPILER=path/to/mpif90 # at cmake configure - if(NOT MPI_C_COMPILER) + if (NOT MPI_C_COMPILER) set(MPI_C_COMPILER mpicc) - endif() + endif () find_package(MPI REQUIRED) if (MPI_C_FOUND) message("-- ${Blue}Add definition EXAGEOSTAT_USE_MPI" - " - Activate MPI in ExaGeoStat${ColourReset}") + " - Activate MPI in ExaGeoStat${ColourReset}") set(EXAGEOSTAT_USE_MPI ON) - list(APPEND EXTRA_LIBRARIES ${MPI_C_LIBRARIES} ) - include_directories( ${MPI_C_INCLUDE_PATH} ) + list(APPEND EXTRA_LIBRARIES ${MPI_C_LIBRARIES}) + include_directories(${MPI_C_INCLUDE_PATH}) # tests for intel mpi #list(APPEND MPI_C_COMPILE_FLAGS "-mt_mpi") #list(APPEND MPI_COMPILE_FLAGS "-mt_mpi") - if(MPI_C_LINK_FLAGS) + if (MPI_C_LINK_FLAGS) + if(LAPACKE_LINKER_FLAGS) + list(APPEND CMAKE_EXE_LINKER_FLAGS "${LAPACKE_LINKER_FLAGS}") + endif() list(APPEND CMAKE_EXE_LINKER_FLAGS "${MPI_C_LINK_FLAGS}") - endif() + endif () endif (MPI_C_FOUND) endif (EXAGEOSTAT_USE_MPI) +# EXAGEOSTAT depends on netcdf +# ------------------------------- +if (EXAGEOSTAT_USE_NETCDF) + message("") + message("---------------------------------------- NETCDF") + pkg_search_module(NETCDF netcdf) + if (NOT NETCDF_FOUND) + message("") + message(STATUS "Can't find NetCDF using PkgConfig, Installing it instead.") + include(ImportNetCDF) + if(NOT NETCDF_INSTALLED) + message(FATAL_ERROR "NetCDF Installation failed") + endif() + message(STATUS "Now trying to find netCDF") + endif() + + pkg_search_module(NETCDF netcdf) + if (NETCDF_FOUND) + add_definitions(-DEXAGEOSTAT_USE_NETCDF) + include_directories(${NETCDF_INCLUDE_DIRS}) + link_directories(${NETCDF_LIBRARY_DIRS}) + list(INSERT EXAGEOSTAT_DEP 0 ${NETCDF_LIBRARIES}) + message(STATUS "NETCDF ${NETCDF_VERSION} found") + endif () + message(STATUS "NetCDF Done") +endif () -# EXAGEOSTAT depends on STARSH +# EXAGEOSTAT depends on NLOPT # ------------------------------- -if( EXAGEOSTAT_USE_STARSH ) -find_package( STARSH REQUIRED) -if( STARSH_FOUND ) - include_directories(${STARSH_INCLUDE_DIRS_DEP}) - if(STARSH_LINKER_FLAGS) - list(APPEND CMAKE_EXE_LINKER_FLAGS "${STARSH_LINKER_FLAGS}") - endif() - if(STARSH_LIBRARY_DIRS) - # the RPATH to be used when installing - list(APPEND CMAKE_INSTALL_RPATH "${STARSH_LIBRARY_DIRS}") - endif() - if (STARSH_LIBRARIES) - # look for gsl - find_library( _STARSH_LIB NAME starsh PATHS ${STARSH_LIBRARY_DIRS} ) - if( _STARSH_LIB AND NOT "${STARSH_LIBRARIES_DEP}" MATCHES "gsl" ) - execute_process( COMMAND nm ${_STARSH_LIB} COMMAND grep gsl RESULT_VARIABLE GSL_IN_STARSH ) - if ( ${GSL_IN_STARSH} EQUAL 0) - message( STATUS "STARSH depends on gsl. Adding it to dependency list") - if (STARSH_LIBRARIES_DEP) - list( APPEND STARSH_LIBRARIES_DEP "gsl") - else() - list( APPEND STARSH_LIBRARIES "gsl") - endif() - endif() +# Check if NLOPT is available to build wrappers +message("") +message("---------------------------------------- NLOPT") +find_package(NLOPT 2.4.2 QUIET) +if (NOT NLOPT_FOUND) + + message("") + message(STATUS "Can't find NLOPT using PkgConfig, Installing it ..") + include(ImportNLOPT) + if(NOT NLOPT_INSTALLED) + message(FATAL_ERROR "NLOPT Installation failed") endif() - # insert to dependencies - if (STARSH_LIBRARIES_DEP) - list(INSERT EXAGEOSTAT_DEP 0 ${STARSH_LIBRARIES_DEP}) - else() - list(INSERT EXAGEOSTAT_DEP 0 ${STARSH_LIBRARIES}) + + message(STATUS "Now trying to find NLOPT") +endif() + +#pkg_search_module(NETCDF netcdf REQUIRED) +find_package(NLOPT 2.4.2 QUIET REQUIRED) +if (NLOPT_FOUND) + include_directories(${NLOPT_INCLUDE_DIRS}) + link_directories(${NLOPT_LIBRARY_DIRS}) + list(INSERT EXAGEOSTAT_DEP 0 ${NLOPT_LIBRARIES}) + message(STATUS "NLOPT ${NLOPT_VERSION} found") +else () + message("NLOPT is NOT found, skipping it") + set(NLOPT OFF) +endif () + + +# EXAGEOSTAT depends on STARSH +# ------------------------------- +if (EXAGEOSTAT_USE_STARSH) + message("") + message("---------------------------------------- Stars-H") + find_package(STARSH) + if (NOT STARSH_FOUND) + + message("") + message(STATUS "Can't find STARSH using PkgConfig, Installing it through HiCMA") + include(ImportHiCMA) + if(NOT HiCMA_INSTALLED) + message(FATAL_ERROR "HiCMA Installation failed") endif() + + message(STATUS "Now trying to find STARSH") + endif() + find_package(STARSH REQUIRED) + if (STARSH_FOUND) + include_directories(${STARSH_INCLUDE_DIRS_DEP}) + if (STARSH_LINKER_FLAGS) + list(APPEND CMAKE_EXE_LINKER_FLAGS "${STARSH_LINKER_FLAGS}") + endif () + if (STARSH_LIBRARY_DIRS) + # the RPATH to be used when installing + list(APPEND CMAKE_INSTALL_RPATH "${STARSH_LIBRARY_DIRS}") + endif () + if (STARSH_LIBRARIES) + # look for gsl + find_library(_STARSH_LIB NAME starsh PATHS ${STARSH_LIBRARY_DIRS}) + if (_STARSH_LIB AND NOT "${STARSH_LIBRARIES_DEP}" MATCHES "gsl") + execute_process(COMMAND nm ${_STARSH_LIB} COMMAND grep gsl RESULT_VARIABLE GSL_IN_STARSH) + if (${GSL_IN_STARSH} EQUAL 0) + message(STATUS "STARSH depends on gsl. Adding it to dependency list") + if (STARSH_LIBRARIES_DEP) + list(APPEND STARSH_LIBRARIES_DEP "gsl") + else () + list(APPEND STARSH_LIBRARIES "gsl") + endif () + endif () + endif () + # insert to dependencies + if (STARSH_LIBRARIES_DEP) + list(INSERT EXAGEOSTAT_DEP 0 ${STARSH_LIBRARIES_DEP}) + else () + list(INSERT EXAGEOSTAT_DEP 0 ${STARSH_LIBRARIES}) + endif () + endif () endif() + message(STATUS "StarsH Done") +endif () + +# EXAGEOSTAT depends on HICMA +# ------------------------------- +if (EXAGEOSTAT_USE_HICMA) + message("") + message("---------------------------------------- Hicma") + find_package(HICMA REQUIRED) + if (HICMA_FOUND) + include_directories(${HICMA_INCLUDE_DIRS_DEP}) + add_definitions(-DEXAGEOSTAT_USE_HICMA) + if (HICMA_LINKER_FLAGS) + list(APPEND CMAKE_EXE_LINKER_FLAGS "${HICMA_LINKER_FLAGS}") + endif () + if (HICMA_LIBRARY_DIRS) + # The RPATH to be used when installing + list(APPEND CMAKE_INSTALL_RPATH "${HICMA_LIBRARY_DIRS}") + link_directories(${HICMA_LIBRARY_DIRS}) + endif () + # Insert to dependencies + if (HICMA_LIBRARIES_DEP) + list(INSERT EXAGEOSTAT_DEP 0 ${HICMA_LIBRARIES_DEP}) + else () + list(INSERT EXAGEOSTAT_DEP 0 ${HICMA_LIBRARIES}) + endif () + message(STATUS "Hicma Done") + endif () endif() -endif() + # EXAGEOSTAT depends on a runtime # ------------------------------- - -#set(EXAGEOSTAT_STARPU_VERSION "1.1" CACHE STRING "oldest STARPU version desired") set(EXAGEOSTAT_STARPU_VERSION "1.2" CACHE STRING "STARPU version desired") # create list of components in order to make a single call to find_package(starpu...) -if(NOT EXAGEOSTAT_SIMULATION) +if (NOT EXAGEOSTAT_SIMULATION) set(STARPU_COMPONENT_LIST "HWLOC") -else() +else () set(STARPU_COMPONENT_LIST "SIMGRID") -endif() -if(EXAGEOSTAT_USE_MPI) +endif () +if (EXAGEOSTAT_USE_MPI) list(APPEND STARPU_COMPONENT_LIST "MPI") -endif() -if(EXAGEOSTAT_ENABLE_TRACING) +endif () +if (EXAGEOSTAT_ENABLE_TRACING) list(APPEND STARPU_COMPONENT_LIST "FXT") -endif() +endif () find_package(STARPU ${EXAGEOSTAT_STARPU_VERSION} REQUIRED - COMPONENTS ${STARPU_COMPONENT_LIST}) + COMPONENTS ${STARPU_COMPONENT_LIST}) # Add definition and include_dir if found -if ( STARPU_FOUND ) +if (STARPU_FOUND) message("-- ${Blue}Add definition EXAGEOSTAT_SCHED_STARPU" - " - Activate StarPU in ExaGeoStat${ColourReset}") + " - Activate StarPU in ExaGeoStat${ColourReset}") set(EXAGEOSTAT_SCHED_STARPU 1) include_directories(${STARPU_INCLUDE_DIRS_DEP}) - if(STARPU_LINKER_FLAGS) + if (STARPU_LINKER_FLAGS) list(APPEND CMAKE_EXE_LINKER_FLAGS "${STARPU_LINKER_FLAGS}") - endif() + endif () set(CMAKE_REQUIRED_INCLUDES "${STARPU_INCLUDE_DIRS_DEP}") - foreach(libdir ${STARPU_LIBRARY_DIRS_DEP}) + foreach (libdir ${STARPU_LIBRARY_DIRS_DEP}) list(APPEND CMAKE_REQUIRED_FLAGS "-L${libdir}") - endforeach() + endforeach () set(CMAKE_REQUIRED_LIBRARIES "${STARPU_LIBRARIES_DEP}") if (EXAGEOSTAT_USE_MPI) list(APPEND CMAKE_REQUIRED_INCLUDES "${MPI_C_INCLUDE_PATH}") list(APPEND CMAKE_REQUIRED_FLAGS "${MPI_C_LINK_FLAGS}") list(APPEND CMAKE_REQUIRED_LIBRARIES "${MPI_C_LIBRARIES}") - endif() + endif () if (EXAGEOSTAT_SIMULATION) list(APPEND CMAKE_REQUIRED_FLAGS "-include" "starpu_simgrid_wrap.h") - endif() + endif () string(REPLACE ";" " " CMAKE_REQUIRED_FLAGS "${CMAKE_REQUIRED_FLAGS}") check_function_exists(starpu_data_idle_prefetch_on_node STARPU_IDLE_PREFETCH_FOUND) - if ( STARPU_IDLE_PREFETCH_FOUND ) + if (STARPU_IDLE_PREFETCH_FOUND) set(HAVE_STARPU_IDLE_PREFETCH 1) message("-- ${Blue}Add definition HAVE_STARPU_IDLE_PREFETCH${ColourReset}") - endif() + endif () check_function_exists(starpu_iteration_push STARPU_ITERATION_PUSH_FOUND) - if ( STARPU_ITERATION_PUSH_FOUND ) + if (STARPU_ITERATION_PUSH_FOUND) set(HAVE_STARPU_ITERATION_PUSH 1) message("-- ${Blue}Add definition HAVE_STARPU_ITERATION_PUSH${ColourReset}") - endif() + endif () check_function_exists(starpu_data_wont_use STARPU_DATA_WONT_USE_FOUND) - if ( STARPU_DATA_WONT_USE_FOUND ) + if (STARPU_DATA_WONT_USE_FOUND) set(HAVE_STARPU_DATA_WONT_USE 1) message("-- ${Blue}Add definition HAVE_STARPU_DATA_WONT_USE${ColourReset}") - endif() + endif () check_function_exists(starpu_data_set_coordinates STARPU_DATA_SET_COORDINATES_FOUND) - if ( STARPU_DATA_SET_COORDINATES_FOUND ) + if (STARPU_DATA_SET_COORDINATES_FOUND) set(HAVE_STARPU_DATA_SET_COORDINATES 1) message("-- ${Blue}Add definition HAVE_STARPU_DATA_SET_COORDINATES${ColourReset}") - endif() + endif () check_function_exists(starpu_malloc_on_node_set_default_flags STARPU_MALLOC_ON_NODE_SET_DEFAULT_FLAGS) - if ( STARPU_MALLOC_ON_NODE_SET_DEFAULT_FLAGS ) + if (STARPU_MALLOC_ON_NODE_SET_DEFAULT_FLAGS) set(HAVE_STARPU_MALLOC_ON_NODE_SET_DEFAULT_FLAGS 1) message("-- ${Blue}Add definition HAVE_STARPU_MALLOC_ON_NODE_SET_DEFAULT_FLAGS${ColourReset}") - endif() - if(EXAGEOSTAT_ENABLE_TRACING) + endif () + if (EXAGEOSTAT_ENABLE_TRACING) # check if fxt profiling is accessible in starpu and activate it in exageostat unset(STARPU_FXT_START_PROFILING_FOUND CACHE) check_function_exists(starpu_fxt_start_profiling STARPU_FXT_START_PROFILING_FOUND) - if ( STARPU_FXT_START_PROFILING_FOUND ) + if (STARPU_FXT_START_PROFILING_FOUND) message("-- ${Blue}Add definition HAVE_STARPU_FXT_PROFILING" - " - Activate FxT profiling through StarPU${ColourReset}") + " - Activate FxT profiling through StarPU${ColourReset}") set(HAVE_STARPU_FXT_PROFILING 1) - else() + else () message("-- ${Red}Looking for starpu with fxt" - " - starpu_fxt_start_profiling() test fails in StarPU${ColourReset}") + " - starpu_fxt_start_profiling() test fails in StarPU${ColourReset}") message("-- ${Red}Check in CMakeFiles/CMakeError.log to figure out why it fails${ColourReset}") - endif() - endif() + endif () + endif () if (EXAGEOSTAT_USE_MPI) # Check if a specific function exist unset(STARPU_MPI_DATA_REGISTER_FOUND CACHE) check_function_exists(starpu_mpi_data_register_comm STARPU_MPI_DATA_REGISTER_FOUND) - if ( STARPU_MPI_DATA_REGISTER_FOUND ) + if (STARPU_MPI_DATA_REGISTER_FOUND) message("-- ${Blue}Add definition HAVE_STARPU_MPI_DATA_REGISTER - Activate" - " use of starpu_mpi_data_register() in ExaGeoStat with StarPU${ColourReset}") + " use of starpu_mpi_data_register() in ExaGeoStat with StarPU${ColourReset}") set(HAVE_STARPU_MPI_DATA_REGISTER 1) - else() + else () message("-- ${Red}Looking for starpu with starpu_mpi_data_register" - " - starpu_mpi_data_register() test fails in StarPU${ColourReset}") + " - starpu_mpi_data_register() test fails in StarPU${ColourReset}") message("-- ${Red}Check in CMakeFiles/CMakeError.log to figure out why it fails${ColourReset}") - endif() + endif () unset(STARPU_MPI_COMM_RANK_FOUND CACHE) check_function_exists(starpu_mpi_comm_rank STARPU_MPI_COMM_RANK_FOUND) - if ( STARPU_MPI_COMM_RANK_FOUND ) + if (STARPU_MPI_COMM_RANK_FOUND) message("-- ${Blue}Add definition HAVE_STARPU_MPI_COMM_RANK - Activate" - " use of starpu_mpi_comm_rank() in ExaGeoStat with StarPU${ColourReset}") + " use of starpu_mpi_comm_rank() in ExaGeoStat with StarPU${ColourReset}") set(HAVE_STARPU_MPI_COMM_RANK 1) - else() + else () message("-- ${Red}Looking for starpu with starpu_mpi_comm_rank" - " - starpu_mpi_comm_rank() test fails in StarPU${ColourReset}") + " - starpu_mpi_comm_rank() test fails in StarPU${ColourReset}") message("-- ${Red}Check in CMakeFiles/CMakeError.log to figure out why it fails${ColourReset}") - endif() - check_function_exists(starpu_mpi_cached_receive STARPU_MPI_CACHED_RECEIVE) - if ( STARPU_MPI_CACHED_RECEIVE ) - set(HAVE_STARPU_MPI_CACHED_RECEIVE 1) - message("-- ${Blue}Add definition HAVE_STARPU_MPI_CACHED_RECEIVE${ColourReset}") - endif() - endif() - if(HWLOC_FOUND AND HWLOC_LIBRARY_DIRS) + endif () + check_function_exists(starpu_mpi_cached_receive STARPU_MPI_CACHED_RECEIVE) + if (STARPU_MPI_CACHED_RECEIVE) + set(HAVE_STARPU_MPI_CACHED_RECEIVE 1) + message("-- ${Blue}Add definition HAVE_STARPU_MPI_CACHED_RECEIVE${ColourReset}") + endif () + endif () + if (HWLOC_FOUND AND HWLOC_LIBRARY_DIRS) # the RPATH to be used when installing list(APPEND CMAKE_INSTALL_RPATH "${HWLOC_LIBRARY_DIRS}") - endif() - if(FXT_FOUND AND FXT_LIBRARY_DIRS) + endif () + if (FXT_FOUND AND FXT_LIBRARY_DIRS) # the RPATH to be used when installing list(APPEND CMAKE_INSTALL_RPATH "${FXT_LIBRARY_DIRS}") - endif() - if(SIMGRID_FOUND AND SIMGRID_LIBRARY_DIRS) + endif () + if (SIMGRID_FOUND AND SIMGRID_LIBRARY_DIRS) # the RPATH to be used when installing list(APPEND CMAKE_INSTALL_RPATH "${SIMGRID_LIBRARY_DIRS}") - endif() - if(STARPU_FOUND AND STARPU_LIBRARY_DIRS) + endif () + if (STARPU_FOUND AND STARPU_LIBRARY_DIRS) # the RPATH to be used when installing list(APPEND CMAKE_INSTALL_RPATH "${STARPU_LIBRARY_DIRS}") - endif() + endif () if (STARPU_LIBRARIES) if (STARPU_LIBRARIES_DEP) list(INSERT EXAGEOSTAT_DEP 0 ${STARPU_LIBRARIES_DEP}) - else() + else () list(INSERT EXAGEOSTAT_DEP 0 ${STARPU_LIBRARIES}) - endif() - endif() -endif ( STARPU_FOUND ) + endif () + endif () +endif (STARPU_FOUND) # EXAGEOSTAT depends on CHAMELEON # ------------------------------- -find_package( CHAMELEON REQUIRED ) -if( CHAMELEON_FOUND ) - include_directories( AFTER ${CHAMELEON_INCLUDE_DIRS_DEP}) - include_directories( AFTER ${CHAMELEON_DIR_FOUND}/include/coreblas) - if(CHAMELEON_LINKER_FLAGS) - list(APPEND CMAKE_EXE_LINKER_FLAGS "${CHAMELEON_LINKER_FLAGS}") - endif() - if(CHAMELEON_LIBRARY_DIRS) - # the RPATH to be used when installing - list(APPEND CMAKE_INSTALL_RPATH "${CHAMELEON_LIBRARY_DIRS}") - endif() - if (CHAMELEON_LIBRARIES) - if (CHAMELEON_LIBRARIES_DEP) - list(INSERT EXAGEOSTAT_DEP 0 ${CHAMELEON_LIBRARIES_DEP}) - else() - list(INSERT EXAGEOSTAT_DEP 0 ${CHAMELEON_LIBRARIES}) +set(EXAGEOSTAT_USE_CHAMELEON 1) #Should be enabled +if (EXAGEOSTAT_USE_CHAMELEON) + message("") + message("---------------------------------------- Chameleon") + find_package(CHAMELEON) + if (NOT CHAMELEON_FOUND) + message("") + message(STATUS "Can't find CHAMELEON using PkgConfig, Installing it instead.") + include(ImportChameleon) + if(NOT CHAMELEON_INSTALLED) + message(FATAL_ERROR "CHAMELEON Installation failed") endif() - endif() -endif() - -# EXAGEOSTAT depends on HICMA -# ------------------------------- -if( EXAGEOSTAT_USE_HICMA ) -find_package( HICMA REQUIRED) -if( HICMA_FOUND ) - include_directories(${HICMA_INCLUDE_DIRS_DEP}) - add_definitions(-DEXAGEOSTAT_USE_HICMA) - if(HICMA_LINKER_FLAGS) - list(APPEND CMAKE_EXE_LINKER_FLAGS "${HICMA_LINKER_FLAGS}") - endif() - if(HICMA_LIBRARY_DIRS) - # The RPATH to be used when installing - list(APPEND CMAKE_INSTALL_RPATH "${HICMA_LIBRARY_DIRS}") - link_directories(${HICMA_LIBRARY_DIRS}) + message(STATUS "Now trying to find Chameleon") + endif() + find_package(CHAMELEON REQUIRED) + if(CHAMELEON_FOUND) + include_directories(AFTER ${CHAMELEON_INCLUDE_DIRS_DEP}) + include_directories(AFTER ${CHAMELEON_DIR_FOUND}/include/coreblas) + if (CHAMELEON_LINKER_FLAGS) + list(APPEND CMAKE_EXE_LINKER_FLAGS "${CHAMELEON_LINKER_FLAGS}") + endif () + if (CHAMELEON_LIBRARY_DIRS) + # the RPATH to be used when installing + list(APPEND CMAKE_INSTALL_RPATH "${CHAMELEON_LIBRARY_DIRS}") + endif () + if (CHAMELEON_LIBRARIES) + if (CHAMELEON_LIBRARIES_DEP) + list(INSERT EXAGEOSTAT_DEP 0 ${CHAMELEON_LIBRARIES_DEP}) + else () + list(INSERT EXAGEOSTAT_DEP 0 ${CHAMELEON_LIBRARIES}) + endif () + endif () endif() - # Insert to dependencies - if (HICMA_LIBRARIES_DEP) - list(INSERT EXAGEOSTAT_DEP 0 ${HICMA_LIBRARIES_DEP}) - else() - list(INSERT EXAGEOSTAT_DEP 0 ${HICMA_LIBRARIES}) - endif() -endif() -endif() -# EXAGEOSTAT depends on netcdf -# ------------------------------- -if( EXAGEOSTAT_USE_NETCDF ) -pkg_search_module(NETCDF netcdf REQUIRED) -if( NETCDF_FOUND ) - add_definitions(-DEXAGEOSTAT_USE_NETCDF) - include_directories(${NETCDF_INCLUDE_DIRS}) - link_directories(${NETCDF_LIBRARY_DIRS}) - list(INSERT EXAGEOSTAT_DEP 0 ${NETCDF_LIBRARIES}) -# add_definitions("-DNLOPT") - message(STATUS "NETCDF ${NETCDF_VERSION} found") -else() - message("NETCDF is NOT found, skipping it") - set(NETCDF OFF) -endif() -endif() - -# EXAGEOSTAT depends on HDF5 -# ------------------------------- -#if( EXAGEOSTAT_USE_HDF5 ) -#pkg_search_module(HDF5 hdf5 REQUIRED) -#if( HDF5_FOUND ) -# include_directories(${HDF5_INCLUDE_DIRS}) -# link_directories(${HDF5_LIBRARY_DIRS}) -# list(INSERT EXAGEOSTAT_DEP 0 ${HDF5_LIBRARIES}) -# add_definitions("-DNLOPT") -# message(STATUS "HDF5 ${HDF5_VERSION} found") -#else() -# message("HDF5 is NOT found, skipping it") -# set(HDF5 OFF) -#endif() -#endif() -# Check if NLOPT is available to build wrappers -pkg_search_module(NLOPT nlopt REQUIRED) -if(NLOPT_FOUND) - include_directories(${NLOPT_INCLUDE_DIRS}) - link_directories(${NLOPT_LIBRARY_DIRS}) - list(INSERT EXAGEOSTAT_DEP 0 ${NLOPT_LIBRARIES}) -# add_definitions("-DNLOPT") - message(STATUS "NLOPT ${NLOPT_VERSION} found") -else() - message("NLOPT is NOT found, skipping it") - set(NLOPT OFF) -endif() - -# GSL -find_package(GSL) -if(GSL_FOUND) - include_directories(${GSL_INCLUDE_DIRS}) - link_directories(${GSL_LIBRARY_DIRS}) - list(APPEND EXAGEOSTAT_DEP ${GSL_LIBRARIES}) -endif() + message(STATUS "Chameleon Done") +endif () list(REMOVE_DUPLICATES CMAKE_EXE_LINKER_FLAGS) string(REPLACE ";" " " CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS}") # Fix a problem on Mac OS X when building shared libraries if (${CMAKE_SYSTEM_NAME} MATCHES "Darwin") set(CMAKE_SHARED_LINKER_FLAGS "-undefined dynamic_lookup") -endif() - -# # Add define for Fortran Mangling (should be defined somewhere else) -# # ------------------------------------------------------------------ -# message("-- ${Blue}Add definition ADD_" -# " - For Fortran mangling${ColourReset}") -# set(ADD_ 1) - +endif () #------------------------------------------------------------------------------ -if(EXAGEOSTAT_SCHED_STARPU) + +if (EXAGEOSTAT_SCHED_STARPU) link_directories(${STARPU_LIBRARY_DIRS_DEP}) -elseif(EXAGEOSTAT_SCHED_QUARK) +elseif (EXAGEOSTAT_SCHED_QUARK) link_directories(${QUARK_LIBRARY_DIRS}) -endif() +endif () # Save extra dependencies (all required links) list(APPEND EXAGEOSTAT_DEP ${EXTRA_LIBRARIES}) @@ -691,191 +695,176 @@ list(REMOVE_DUPLICATES EXAGEOSTAT_DEP) # WARNING: is it safe, respect order? # Check for the subdirectories # ---------------------------- - # include headers # --------------- -include_directories( ${CMAKE_SOURCE_DIR} ) -include_directories( ${CMAKE_SOURCE_DIR}/include ) -include_directories( ${CMAKE_SOURCE_DIR}/misc/include ) -include_directories( ${CMAKE_SOURCE_DIR}/exageostat_exact/src/include ) -include_directories( ${CMAKE_SOURCE_DIR}/exageostat_approx/src/include ) -include_directories( ${CMAKE_SOURCE_DIR}/exageostat_exact/core/include ) -include_directories( ${CMAKE_SOURCE_DIR}/exageostat_exact/runtime/starpu/include ) -include_directories( ${CMAKE_SOURCE_DIR}/exageostat_approx/runtime/starpu/include ) - -set( EXAGEOSTAT_CHAMELEON_SRC "" ) - -set( EXAGEOSTAT_SRC "" ) - -#add_definitions( "-DEXAGEOSTAT_COPY_DIAG -DSTARPU_USE_DEPRECATED_API -DSTARPU_USE_DEPRECATED_ONE_ZERO_API" ) - - -set( EXAGEOSTAT_SRC ${CMAKE_CURRENT_SOURCE_DIR}/src/compute/MLE.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/core/compute/core_zmdet.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/core/compute/core_zzcpy.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/core/compute/core_zcmg.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/core/compute/core_zcmg_non_stat.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/core/compute/core_zcmg_nuggets.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/core/compute/core_zprint.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/core/compute/core_zdotp.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/core/compute/core_sdconv.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/core/compute/core_dsconv.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/core/compute/core_slag2d.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/core/compute/core_dlag2s.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_zdotp.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_zmdet.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_zmse.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_zmse_bivariate.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_zcmg.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_zzcpy.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_zgemv.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_approx/runtime/starpu/codelets/codelet_dcmg_diag.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_approx/runtime/starpu/codelets/codelet_dpotrf_diag.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_approx/runtime/starpu/codelets/codelet_hicma_dmdet.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_sdconv.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_exageostat_sgemm.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_exageostat_strsm.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_dsconv.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_sdmat_reg.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_stride_vec.c - #${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_print.c - #${CMAKE_CURRENT_SOURCE_DIR}/exageostat_approx/runtime/starpu/control/approx_runtime_descriptor.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/control/exact_runtime_descriptor.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_approx/src/compute/pdpotrf_diag.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_approx/src/compute/dpotrf_diag.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_approx/src/compute/MLE_approx.c - ${CMAKE_CURRENT_SOURCE_DIR}/misc/compute/MLE_misc.c - ${CMAKE_CURRENT_SOURCE_DIR}/misc/compute/flat_file.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/src/compute/MLE_exact.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/src/compute/MLE_exact_s.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/src/compute/psdportf.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/src/compute/sdpotrf.c - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/src/compute/MLE_sdexact.c - ${CMAKE_CURRENT_SOURCE_DIR}/r-wrappers/compute/rwrappers.c - ) - -if(EXAGEOSTAT_USE_HICMA) - list(APPEND EXAGEOSTAT_SRC ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_approx/src/compute/MLE_lr.c) -endif() +include_directories(${CMAKE_SOURCE_DIR}) +include_directories(${CMAKE_SOURCE_DIR}/include) +include_directories(${CMAKE_SOURCE_DIR}/misc/include) +include_directories(${CMAKE_SOURCE_DIR}/exageostat_exact/src/include) +include_directories(${CMAKE_SOURCE_DIR}/exageostat_approx/src/include) +include_directories(${CMAKE_SOURCE_DIR}/exageostat_exact/cpu_core/include) +include_directories(${CMAKE_SOURCE_DIR}/exageostat_exact/runtime/starpu/include) +include_directories(${CMAKE_SOURCE_DIR}/exageostat_approx/runtime/starpu/include) + +set(EXAGEOSTAT_CHAMELEON_SRC "") +set(EXAGEOSTAT_SRC "") + +set(EXAGEOSTAT_SRC ${CMAKE_CURRENT_SOURCE_DIR}/src/compute/MLE.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/cpu_core/compute/core_zmdet.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/cpu_core/compute/core_zzcpy.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/cpu_core/compute/core_zcmg.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/cpu_core/compute/core_zcmg_non_stat.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/cpu_core/compute/core_zcmg_nuggets.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/cpu_core/compute/core_zprint.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/cpu_core/compute/core_zdotp.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/cpu_core/compute/core_sdconv.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/cpu_core/compute/core_dsconv.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/cpu_core/compute/core_slag2d.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/cpu_core/compute/core_dlag2s.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/cpu_core/compute/core_g_to_ng.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/cpu_core/compute/core_ng_loglike.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/cpu_core/compute/core_ng_transform.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/cpu_core/compute/core_ztrace.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_zdotp.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_zmdet.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_ztrace.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_zmse.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_zmse_bivariate.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_zmse_trivariate.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_zcmg.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_zzcpy.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_zgemv.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_approx/runtime/starpu/codelets/codelet_dcmg_diag.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_approx/runtime/starpu/codelets/codelet_dpotrf_diag.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_sdconv.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_exageostat_sgemm.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_exageostat_strsm.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_dsconv.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_sdmat_reg.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_zmloe_mmom.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_stride_vec.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_ng_transform.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_ng_loglike.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_g_to_ng.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_zcorr.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/codelets/codelet_tristride_vec.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/runtime/starpu/control/exact_runtime_descriptor.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_approx/src/compute/pdpotrf_diag.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_approx/src/compute/dpotrf_diag.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_approx/src/compute/MLE_approx.c + ${CMAKE_CURRENT_SOURCE_DIR}/misc/compute/MLE_misc.c + ${CMAKE_CURRENT_SOURCE_DIR}/misc/compute/flat_file.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/src/compute/MLE_dexact.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/src/compute/MLE_sexact.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/src/compute/MLE_ng_dexact.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/src/compute/MLE_sdexact.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/src/compute/psdportf.c + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/src/compute/sdpotrf.c + ${CMAKE_CURRENT_SOURCE_DIR}/r-wrappers/compute/rwrappers.c + ) -if(EXAGEOSTAT_USE_CUDA) -message(WARNING "USING CUDA") - list(APPEND EXAGEOSTAT_SRC ${CMAKE_CURRENT_SOURCE_DIR}/cudacore/compute/cuda_conv.cu) - list(APPEND EXAGEOSTAT_SRC ${CMAKE_CURRENT_SOURCE_DIR}/cudacore/compute/cuda_zcmg.cu) +if (EXAGEOSTAT_USE_HICMA) + list(APPEND EXAGEOSTAT_SRC ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_approx/src/compute/MLE_lr.c) + list(APPEND EXAGEOSTAT_SRC ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_approx/src/compute/MLE_ng_lr.c) + list(APPEND EXAGEOSTAT_SRC ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_approx/runtime/starpu/codelets/codelet_hicma_dmdet.c) + list(APPEND EXAGEOSTAT_SRC ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_approx/runtime/starpu/codelets/codelet_hicma_ng_transform.c) + list(APPEND EXAGEOSTAT_SRC ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_approx/runtime/starpu/codelets/codelet_hicma_ng_loglike.c) +endif () -endif() +if (EXAGEOSTAT_USE_CUDA) + message(WARNING "USING CUDA") + list(APPEND EXAGEOSTAT_SRC exageostat_exact/cuda_core/compute/cuda_conv.cu) + list(APPEND EXAGEOSTAT_SRC exageostat_exact/cuda_core/compute/cuda_zcmg.cu) +endif () -if(EXAGEOSTAT_USE_NETCDF) - list(APPEND EXAGEOSTAT_SRC ${CMAKE_CURRENT_SOURCE_DIR}/misc/compute/nc_file.c) -endif() +if (EXAGEOSTAT_USE_NETCDF) + list(APPEND EXAGEOSTAT_SRC ${CMAKE_CURRENT_SOURCE_DIR}/misc/compute/nc_file.c) +endif () +set(INSTALL_HEADERS ${CMAKE_SOURCE_DIR}/src/include/MLE.h + ${CMAKE_SOURCE_DIR}/include/context.h + ${CMAKE_SOURCE_DIR}/include/descriptor.h + ${CMAKE_SOURCE_DIR}/include/auxiliary.h + ${CMAKE_SOURCE_DIR}/include/chameleon_starpu.h + ${CMAKE_SOURCE_DIR}/include/common.h + ${CMAKE_SOURCE_DIR}/include/global.h + ${CMAKE_SOURCE_DIR}/include/compute_d.h + ${CMAKE_SOURCE_DIR}/include/async.h + ${CMAKE_SOURCE_DIR}/exageostat_exact/src/include/MLE_exact.h + ${CMAKE_SOURCE_DIR}/exageostat_exact/src/include/MLE_exact_s.h + ${CMAKE_SOURCE_DIR}/exageostat_exact/src/include/MLE_sdexact.h + ${CMAKE_SOURCE_DIR}/exageostat_exact/src/include/MLE_ng_exact.h + ${CMAKE_SOURCE_DIR}/exageostat_exact/runtime/starpu/include/starpu_exageostat.h + ${CMAKE_SOURCE_DIR}/exageostat_exact/cpu_core/include/exageostatcore.h + ${CMAKE_SOURCE_DIR}/exageostat_approx/src/include/MLE_approx.h + ${CMAKE_SOURCE_DIR}/exageostat_approx/runtime/starpu/include/starpu_exageostat_approx.h + ${CMAKE_SOURCE_DIR}/misc/include/MLE_misc.h + ${CMAKE_SOURCE_DIR}/misc/include/flat_file.h + ${CMAKE_CURRENT_SOURCE_DIR}/r-wrappers/include/rwrappers.h + ${CMAKE_SOURCE_DIR}/include/flops.h + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_approx/src/include/diag.h + ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/src/include/mixed_prec.h + ) -set( INSTALL_HEADERS ${CMAKE_SOURCE_DIR}/src/include/MLE.h - ${CMAKE_SOURCE_DIR}/include/context.h - ${CMAKE_SOURCE_DIR}/include/morse_starpu.h - ${CMAKE_SOURCE_DIR}/include/descriptor.h - ${CMAKE_SOURCE_DIR}/include/auxiliary.h - ${CMAKE_SOURCE_DIR}/include/chameleon_starpu.h - ${CMAKE_SOURCE_DIR}/include/runtime_codelet_d.h - ${CMAKE_SOURCE_DIR}/include/exageostat-constants.h - #${CMAKE_SOURCE_DIR}/include/runtime_codelet_s.h - ${CMAKE_SOURCE_DIR}/include/common.h - ${CMAKE_SOURCE_DIR}/include/global.h - ${CMAKE_SOURCE_DIR}/include/compute_z.h - ${CMAKE_SOURCE_DIR}/include/morse_tasks_ds.h - ${CMAKE_SOURCE_DIR}/include/compute_s.h - ${CMAKE_SOURCE_DIR}/include/compute_d.h - ${CMAKE_SOURCE_DIR}/include/compute_c.h - ${CMAKE_SOURCE_DIR}/include/tile.h - ${CMAKE_SOURCE_DIR}/include/async.h - ${CMAKE_SOURCE_DIR}/exageostat_exact/src/include/MLE_exact.h - ${CMAKE_SOURCE_DIR}/exageostat_exact/src/include/MLE_exact_s.h - ${CMAKE_SOURCE_DIR}/exageostat_exact/src/include/MLE_sdexact.h - ${CMAKE_SOURCE_DIR}/exageostat_exact/runtime/starpu/include/starpu_exageostat.h - ${CMAKE_SOURCE_DIR}/exageostat_exact/core/include/exageostatcore.h - ${CMAKE_SOURCE_DIR}/exageostat_approx/src/include/MLE_approx.h - ${CMAKE_SOURCE_DIR}/exageostat_approx/runtime/starpu/include/starpu_exageostat_approx.h - ${CMAKE_SOURCE_DIR}/misc/include/MLE_misc.h - ${CMAKE_SOURCE_DIR}/misc/include/flat_file.h - ${CMAKE_CURRENT_SOURCE_DIR}/r-wrappers/include/rwrappers.h - ${CMAKE_SOURCE_DIR}/include/flops.h - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_approx/src/include/diag.h - ${CMAKE_CURRENT_SOURCE_DIR}/exageostat_exact/src/include/mixed_prec.h - ) - -if(EXAGEOSTAT_USE_HICMA) - list(APPEND INSTALL_HEADERS ${CMAKE_SOURCE_DIR}/exageostat_approx/src/include/MLE_lr.h) -# list(APPEND INSTALL_HEADERS ${CMAKE_SOURCE_DIR}/exageostat_approx/src/include/MLE_lr_s.h) -endif() -if(EXAGEOSTAT_USE_CUDA) - list(APPEND INSTALL_HEADERS ${CMAKE_SOURCE_DIR}/cudacore/include/exageostatcudacore.h) -endif() -if(EXAGEOSTAT_USE_NETCDF) - list(APPEND INSTALL_HEADERS ${CMAKE_SOURCE_DIR}/misc/include/nc_file.h) -endif() +if (EXAGEOSTAT_USE_HICMA) + list(APPEND INSTALL_HEADERS ${CMAKE_SOURCE_DIR}/exageostat_approx/src/include/MLE_lr.h) +endif () +if (EXAGEOSTAT_USE_CUDA) + list(APPEND INSTALL_HEADERS ${CMAKE_SOURCE_DIR}/exageostat_exact/cuda_core/include/exageostatcudacore.h) +endif () +if (EXAGEOSTAT_USE_NETCDF) + list(APPEND INSTALL_HEADERS ${CMAKE_SOURCE_DIR}/misc/include/nc_file.h) +endif () link_directories(${STARSH_LIBRARY_DIRS}) link_directories(${STARPU_LIBRARY_DIRS}) +link_directories(${STARPU_SHM_STATIC_LIBRARY_DIRS}) link_directories(${CHAMELEON_LIBRARY_DIRS}) link_directories(${HICMA_LIBRARY_DIRS}) -if(EXAGEOSTAT_USE_CUDA) -#set(CUDA_NVCC_FLAGS "${CUDA_NVCC_FLAGS} -gencode arch=compute_37,code=sm_37") - - CUDA_add_library( exageostat ${EXAGEOSTAT_SRC} ${EXAGEOSTAT_CHAMELEON_SRC} ) - set_target_properties(exageostat PROPERTIES LINKER_LANGUAGE C ) -else() - add_library( exageostat ${EXAGEOSTAT_SRC} ${EXAGEOSTAT_CHAMELEON_SRC} ) -endif() - - -set_target_properties( exageostat PROPERTIES PUBLIC_HEADER "${INSTALL_HEADERS}") -target_link_libraries( exageostat - ${EXAGEOSTAT_DEP} - ) -install( TARGETS exageostat - DESTINATION lib/ - PUBLIC_HEADER DESTINATION include/ ) - - -if( EXAGEOSTAT_EXAMPLES ) - enable_testing() - include(CTest) - add_subdirectory(examples) -endif() +if (EXAGEOSTAT_USE_CUDA) + CUDA_add_library(exageostat ${EXAGEOSTAT_SRC} ${EXAGEOSTAT_CHAMELEON_SRC}) + set_target_properties(exageostat PROPERTIES LINKER_LANGUAGE C) +else () + add_library(exageostat ${EXAGEOSTAT_SRC} ${EXAGEOSTAT_CHAMELEON_SRC}) +endif () +set_target_properties(exageostat PROPERTIES PUBLIC_HEADER "${INSTALL_HEADERS}") +target_link_libraries(exageostat + ${EXAGEOSTAT_DEP} + ) +install(TARGETS exageostat + DESTINATION lib/ + PUBLIC_HEADER DESTINATION include/ + ) +if (EXAGEOSTAT_EXAMPLES) + enable_testing() + include(CTest) + add_subdirectory(examples) +endif () ############################################################################### # Documentation # ################# option(EXAGEOSTAT_ENABLE_DOCS "Build documentation in docs directory" ON) -if(EXAGEOSTAT_ENABLE_DOCS) +if (EXAGEOSTAT_ENABLE_DOCS) find_package(Doxygen) - #find_package(LATEX COMPONENTS PDFLATEX) - if(DOXYGEN_FOUND) - # if( LATEX_FOUND ) - add_subdirectory("docs") - #else() - # message(STATUS "Latex NOT found, skipping documentation") - #endif() - else() + if (DOXYGEN_FOUND) + add_subdirectory("docs") + else () message(STATUS "Doxygen NOT found, skipping documentation") - endif() -endif() + endif () +endif () #------------------------------------------------------------------------------ - - ############################################################################### # Config files (pkg_config) # ############################# - -# Create file morse_starpu.pc +# Create file chameleon_starpu.pc # --------------------------- generate_pkgconfig_file() #------------------------------------------------------------------------------ - -option( EXAGEOSTAT_PACKAGE "Enable a packaging system for distribution" OFF ) -if( EXAGEOSTAT_PACKAGE ) +option(EXAGEOSTAT_PACKAGE "Enable a packaging system for distribution" OFF) +if (EXAGEOSTAT_PACKAGE) ############################################################################### # Release source # ################## @@ -890,23 +879,21 @@ if( EXAGEOSTAT_PACKAGE ) set(CPACK_PACKAGE_VENDOR "KAUST") set(CPACK_PACKAGE_CONTACT "sameh.abdulah@kaust.edu.sa") set(CPACK_RESOURCE_FILE_README ${CMAKE_CURRENT_SOURCE_DIR}/README.md) -# set(CPACK_RESOURCE_FILE_LICENSE ${CMAKE_CURRENT_SOURCE_DIR}/LICENSE) set(CPACK_SOURCE_IGNORE_FILES "plasma-conversion;build;.cproject;.settings;.dir-locals.el;.project;.pydevproject;.svn;.git;.gitmodules;.gitlab-ci.yml;Jenkinsfile;jenkins-scripts;chameleon-repo") include(CPack) -endif() +endif () ############################################################################### # Print Options # ################# -get_directory_property( EXAGEOSTAT_DEFINITIONS_LIST DIRECTORY ${CMAKE_SOURCE_DIR} COMPILE_DEFINITIONS ) +get_directory_property(EXAGEOSTAT_DEFINITIONS_LIST DIRECTORY ${CMAKE_SOURCE_DIR} COMPILE_DEFINITIONS) include(PrintOpts) if (CMAKE_INSTALL_PREFIX STREQUAL "/usr/local" OR CMAKE_INSTALL_PREFIX STREQUAL "C:/Program Files") message("-- ${Yellow}Your CMAKE_INSTALL_PREFIX is ${CMAKE_INSTALL_PREFIX} which is a default system path." - " You may want to change it: set the CMAKE_INSTALL_PREFIX variable to do so${ColourReset}") -else() + " You may want to change it: set the CMAKE_INSTALL_PREFIX variable to do so${ColourReset}") +else () message("-- ${Yellow}Your CMAKE_INSTALL_PREFIX is ${CMAKE_INSTALL_PREFIX}${ColourReset}") -endif() - +endif () ### ### END CMakeLists.txt ### diff --git a/CryptoppMakeRulesOverwrite.cmake b/CryptoppMakeRulesOverwrite.cmake new file mode 100644 index 0000000..73ed3ac --- /dev/null +++ b/CryptoppMakeRulesOverwrite.cmake @@ -0,0 +1,2 @@ +list(APPEND CMAKE_CXX_SOURCE_FILE_EXTENSIONS c) + diff --git a/Jenkinsfile b/Jenkinsfile index 23ce001..850106f 100755 --- a/Jenkinsfile +++ b/Jenkinsfile @@ -25,108 +25,136 @@ pipeline { stage ('build') { steps { sh '''#!/bin/bash -le -module purge -module load ecrc-extras -module load mkl/2018-update-1 -module load gcc/5.5.0 -module load cmake/3.11.1 -module load gsl/2.4-gcc-5.5.0 -module load nlopt/2.4.2-gcc-5.5.0 -module load hwloc/1.11.8-gcc-5.5.0 -module load starpu/1.2.3-gcc-5.5.0-mkl-openmpi-3.0.0 -module load hdf5/1.10.1-gcc-5.5.0 -module load netcdf/4.5.0-gcc-5.5.0 - - -module list -set -x - -export EXAGEOSTATDEVDIR=$PWD -export HICMADIR=$EXAGEOSTATDEVDIR/hicma -export CHAMELEONDIR=$HICMADIR/chameleon -export STARSHDIR=$EXAGEOSTATDEVDIR/stars-h - -## STARS-H -cd $STARSHDIR -rm -rf build -mkdir -p build/installdir -cd build -cmake .. -DCMAKE_INSTALL_PREFIX=$PWD/installdir -DMPI=OFF -DOPENMP=OFF -DSTARPU=OFF -make clean -make -j -make install -export PKG_CONFIG_PATH=$PWD/installdir/lib/pkgconfig:$PKG_CONFIG_PATH - -## CHAMELEON -cd $CHAMELEONDIR -# Update submodules -git submodule update --init --recursive -#install Chameleon -cd $CHAMELEONDIR -rm -rf build -mkdir -p build/installdir -cd build -cmake .. -DCMAKE_BUILD_TYPE=Debug -DCHAMELEON_USE_MPI=OFF -DCMAKE_INSTALL_PREFIX=$PWD/installdir -DCHAMELEON_ENABLE_EXAMPLE=OFF -DCHAMELEON_ENABLE_TESTING=OFF -DCHAMELEON_ENABLE_TIMING=OFF -make -j # CHAMELEON parallel build seems to be fixed -make install -export PKG_CONFIG_PATH=$PWD/installdir/lib/pkgconfig:$PKG_CONFIG_PATH - -## HICMA -cd $HICMADIR -rm -rf build -mkdir -p build/installdir -cd build -cmake .. -DCMAKE_INSTALL_PREFIX=$PWD/installdir -DHICMA_USE_MPI=OFF -DHICMA_ENABLE_TESTING=OFF -DHICMA_ENABLE_TIMING=OFF -make clean -make -j -make install -export PKG_CONFIG_PATH=$PWD/installdir/lib/pkgconfig:$PKG_CONFIG_PATH - -# EXAGEOSTAT -cd $EXAGEOSTATDEVDIR -rm -rf build -mkdir -p build -cd build -cmake .. \ - -DCMAKE_INSTALL_PREFIX=$PWD/installdir \ - -DEXAGEOSTAT_SCHED_STARPU=ON \ - -DEXAGEOSTAT_USE_MPI=OFF \ - -DEXAGEOSTAT_PACKAGE=ON \ - -DCMAKE_BUILD_TYPE=Release \ - -DEXAGEOSTAT_USE_STARSH=ON \ - -DEXAGEOSTAT_USE_HICMA=ON \ - -DEXAGEOSTAT_USE_NETCDF=ON - -make clean -make -j || make VERBOSE=1 -make install -''' + module purge + module load ecrc-extras + module load mkl/2020.0.166 + module load gcc/10.2.0 + module load cmake/3.21.2 + module load hwloc/2.4.0-gcc-10.2.0 + module load openmpi/4.1.0-gcc-10.2.0 + module load starpu/1.3.9-gcc-10.2.0-mkl-openmpi-4.1.0 + module load gsl/2.6-gcc-10.2.0 + module load nlopt/2.7.0-gcc-10.2.0 + module load hdf5/1.12.0-gcc-10.2.0 + module load netcdf/4.7.4-gcc-10.2.0 + + module list + set -x + + export EXAGEOSTATDEVDIR=$PWD + export HICMADIR=$EXAGEOSTATDEVDIR/hicma + export CHAMELEONDIR=$EXAGEOSTATDEVDIR/chameleon + export STARSHDIR=$HICMADIR/stars-h + export HCOREDIR=$HICMADIR/hcore + export HICMAINSTALLDIR=$HICMADIR/dependencies-prefix + + ## CHAMELEON + # Update submodules + git submodule update --init --recursive + cd $CHAMELEONDIR + git checkout release-1.1.0 + + #install Chameleon + rm -rf build + mkdir -p build/installdir + cd build + cmake .. -DCMAKE_INSTALL_PREFIX=$PWD/installdir -DCMAKE_C_FLAGS=-fPIC -DCHAMELEON_USE_MPI=OFF -DCMAKE_BUILD_TYPE="Release" \ + -DCMAKE_C_FLAGS_RELEASE="-O3 -Ofast -w" -DCHAMELEON_USE_CUDA=OFF -DCHAMELEON_ENABLE_EXAMPLE=OFF \ + -DCHAMELEON_ENABLE_TESTING=OFF -DCHAMELEON_ENABLE_TIMING=OFF -DBUILD_SHARED_LIBS=OFF + + make clean + make -j # CHAMELEON parallel build seems to be fixed + make install + export PKG_CONFIG_PATH=$PWD/installdir/lib/pkgconfig:$PKG_CONFIG_PATH + + ## HICMA + cd $HICMADIR + git submodule update --init --recursive + mkdir -p $HICMAINSTALLDIR + rm -rf $HICMAINSTALLDIR/* + + # STARS-H + cd $STARSHDIR + rm -rf build + mkdir -p build + cd build + cmake .. -DCMAKE_INSTALL_PREFIX=$HICMAINSTALLDIR -DMPI=OFF -DOPENMP=OFF -DSTARPU=OFF -DBUILD_SHARED_LIBS=ON -DCMAKE_C_FLAGS=-fPIC -DCMAKE_C_FLAGS_RELEASE="-O3 -Ofast -w" + make clean + make -j + make install + + ## HCORE + cd $HCOREDIR + rm -rf build + mkdir -p build + cd build + cmake .. -DCMAKE_INSTALL_PREFIX=$HICMAINSTALLDIR -DCMAKE_C_FLAGS=-fPIC -DBUILD_SHARED_LIBS=ON -DCMAKE_C_FLAGS_RELEASE="-O3 -Ofast -w" + make clean + make -j + make install + + export PKG_CONFIG_PATH=$HICMAINSTALLDIR/lib/pkgconfig:$PKG_CONFIG_PATH + cd $HICMADIR + rm -rf build + mkdir -p build/installdir + cd build + cmake .. -DCMAKE_INSTALL_PREFIX=$PWD/installdir -DCMAKE_C_FLAGS=-fPIC -DHICMA_USE_MPI="$MPI_VALUE" -DCMAKE_BUILD_TYPE="Release" \ + -DCMAKE_C_FLAGS_RELEASE="-O3 -Ofast -w" -DBUILD_SHARED_LIBS=ON -DCMAKE_C_FLAGS="-fcommon" + make clean + make -j + make install + export PKG_CONFIG_PATH=$PWD/installdir/lib/pkgconfig:$PKG_CONFIG_PATH + + # EXAGEOSTAT + cd $EXAGEOSTATDEVDIR + rm -rf build + mkdir -p build/installdir + cd build + CFLAGS="-fcommon" cmake .. \ + -DCMAKE_INSTALL_PREFIX=$PWD/installdir \ + -DEXAGEOSTAT_SCHED_STARPU=ON \ + -DEXAGEOSTAT_USE_MPI=OFF \ + -DEXAGEOSTAT_PACKAGE=ON \ + -DCMAKE_BUILD_TYPE=Release \ + -DEXAGEOSTAT_USE_STARSH=ON \ + -DEXAGEOSTAT_USE_HICMA=ON \ + -DEXAGEOSTAT_USE_NETCDF=ON \ + -DEXAGEOSTAT_USE_CHAMELEON=ON \ + -DEXAGEOSTAT_INSTALL_DEPS=OFF \ + -DMPI_VALUE=OFF \ + -DCUDA_VALUE=OFF \ + -DCMAKE_C_FLAGS_RELEASE="-O3 -Ofast -w" \ + -DBUILD_SHARED_LIBS=ON + make clean + make -j || make VERBOSE=1 + make install + ''' } } stage ('test') { steps { sh '''#!/bin/bash -le -module purge -module load ecrc-extras -module load mkl/2018-update-1 -module load gcc/5.5.0 -module load cmake/3.11.1 -module load gsl/2.4-gcc-5.5.0 -module load nlopt/2.4.2-gcc-5.5.0 -module load hwloc/1.11.8-gcc-5.5.0 -module load starpu/1.2.3-gcc-5.5.0-mkl-openmpi-3.0.0 -module load hdf5/1.10.1-gcc-5.5.0 -module load netcdf/4.5.0-gcc-5.5.0 - - -module list -set -x - -cd build -rm -rf Testing -ctest --no-compress-output -T Test - -''' + module purge + module load ecrc-extras + module load mkl/2020.0.166 + module load gcc/10.2.0 + module load cmake/3.21.2 + module load hwloc/2.4.0-gcc-10.2.0 + module load openmpi/4.1.0-gcc-10.2.0 + module load starpu/1.3.9-gcc-10.2.0-mkl-openmpi-4.1.0 + module load gsl/2.6-gcc-10.2.0 + module load nlopt/2.7.0-gcc-10.2.0 + module load hdf5/1.12.0-gcc-10.2.0 + module load netcdf/4.7.4-gcc-10.2.0 + + module list + set -x + + cd build + rm -rf Testing + ctest --no-compress-output -T Test + + ''' step([$class: 'XUnitBuilder', thresholds: [[$class: 'FailedThreshold', unstableThreshold: '0']], tools: [[$class: 'CTestType', pattern: 'build/Testing/**/Test.xml']]]) @@ -140,7 +168,7 @@ ctest --no-compress-output -T Test rm -rf cppcheckhtml cppcheck --enable=all --xml --xml-version=2 exageostat_approx/ exageostat_exact/ examples/ misc/ src/ r-wrappers/ -I include/ 2> cppcheck.xml cppcheck-htmlreport --source-encoding="iso8859-1" --title="ExaGeoStat" --source-dir=. --report-dir=cppcheckhtml --file=cppcheck.xml -''' + ''' publishHTML( target: [allowMissing: false, alwaysLinkToLastBuild: false, keepAll: false, reportDir: 'cppcheckhtml', reportFiles: 'index.html', reportName: 'CppCheckReport', reportTitles: ''] ) publishHTML( target: [allowMissing: false, alwaysLinkToLastBuild: false, keepAll: false, reportDir: 'build/docs/build/html', reportFiles: 'index.html', reportName: 'Doxygen Documentation', reportTitles: ''] ) } @@ -155,14 +183,6 @@ ctest --no-compress-output -T Test // Post build actions post { - //always { - //} - //success { - //} - //unstable { - //} - //failure { - //} unstable { emailext body: "${env.JOB_NAME} - Please go to ${env.BUILD_URL}", subject: "Jenkins Pipeline build is UNSTABLE", recipientProviders: [culprits(),requestor()] } @@ -173,6 +193,4 @@ ctest --no-compress-output -T Test emailext body: "${env.JOB_NAME} - Please go to ${env.BUILD_URL}", subject: "Jenkins Pipeline build FAILED", recipientProviders: [culprits(),requestor()] } } -} - - +} \ No newline at end of file diff --git a/LICENSE b/LICENSE index 39b570e..0808c82 100755 --- a/LICENSE +++ b/LICENSE @@ -1,6 +1,6 @@ BSD 3-Clause License -Copyright (c) 2017, King Abdullah University of Science and Technology +Copyright (c) 2017-2023, King Abdullah University of Science and Technology All rights reserved. Redistribution and use in source and binary forms, with or without diff --git a/README.md b/README.md index d1cc8d1..860483b 100755 --- a/README.md +++ b/README.md @@ -1,35 +1,36 @@ What is ExaGeoStat? ================ -The **Exascale GeoStatistics** project (ExaGeoStat) is a parallel high performance unified framework for computational geostatistics on many-core systems. The project aims at optimizing the likelihood function for a given spatial data to provide an efficient way to predict missing observations in the context of climate/weather forecasting applications. This machine learning framework proposes a unified simulation code structure to target various hardware architectures, from commodity x86 to GPU accelerator-based shared and distributed-memory systems. ExaGeoStat enables statisticians to tackle computationally challenging scientific problems at large-scale, while abstracting the hardware complexity, through state-of-the-art high performance linear algebra software libraries. +The **Exascale GeoStatistics** project (ExaGeoStat) is a parallel high performance unified framework for computational geostatistics on many-core systems. The project aims at optimizing the likelihood function for a given spatial data to provide an efficient way to predict missing observations in the context of climate/weather forecasting applications. This machine learning framework proposes a unified simulation code structure to target various hardware architectures, from commodity x86 to GPU accelerator-based shared and distributed-memory systems. ExaGeoStat enables statisticians to tackle computationally challenging scientific problems at large-scale, while abstracting the hardware complexity through state-of-the-art high performance linear algebra software libraries. Vision of ExaGeoStat ================= -ExaGeoStat is a collaboration between the KAUST Statistics group and the Extreme Computing Research +ExaGeoStat is a collaboration between the KAUST Spatial Statistics group and the Extreme Computing Research Center (ECRC). Its contribution lies not in a new algorithm nor in a new data set, but in demonstrating the routine use of the larger data sets becoming available to geospatial statisticians, thanks to the implementation of state-of-the-art statistical algorithms on high-performance computing (HPC) hardware. We have built a standalone software framework (ExaGeoStat) that is able to run on a variety -of hardware resources, including GPUs and massive distributed systems such as Shaheen, -KAUST's Cray XC40 supercomputer, and to create a statistical model to predict environmental data -(i.e., temperature, flow rates, soil moisture, wind speed, etc.) at spatial locations on which data +of hardware resources, including GPUs and massively distributed systems such as Shaheen-II, +KAUST's Cray XC40 supercomputer, ORNL Summit (OLCF-4) supercomputer, and Riken Fugaku supercomputer, +to create a statistical model to predict environmental data (i.e., temperature, flow rates, soil moisture, + wind speed, air pollution, etc.) at spatial locations on which data is missing, and to exploit large amounts of data to reduce the effect of individual measurement errors. The best-known methods for such statistical processing have a cost that grows rapidly in the size of the data set, namely, in proportion to its cube, or third power. Thus, increasing -the size of data set by a factor ten drives up the cost of the computation by a factor of -a thousand, while simultaneously driving up the memory requirements by a factor o hundred. +the size of the data set by a factor ten drives up the cost of the computation by a factor of +a thousand, while simultaneously driving up the memory requirements by a factor a hundred. For instance, according to this cubic growth in complexity, a computation that requires one minute would require nearly 17 hours on a data set just ten times larger. This creates a computational strain on standard statistics software, for which contemporary data sizes were not anticipated; and even if possible, it puts the computation beyond the interactive attention span of the analyst. Parallelism (assigning thousands of processors to the -single task) and Moore's Law allow leading edge computers to handle such "big data" +single task) and Moore's Law allow leading-edge computers to handle such "big data" with ease, but the software bridge must be built. Furthermore, the software interface must resemble the interactive one with which working statisticians are familiar. @@ -43,32 +44,49 @@ with a user-controlled numerical accuracy. This further expands practical proble statisticians with modest computational resources. -Current Version: 1.1.0 +Current Version: 1.2.0 ====================== - Current Features of ExaGeoStat ====================== Operations: -1. Large-scale synthetic matrix generation. -2. Univariate and bivariate modeling using dense, Tile Low-Rank (TLR), Diagonal Super-Tile (DST), and mixed-precision computation. -3. Univariate and bivariate Predicting large-scale unknown measures in predefined geospatial locations. -4. Univariate and bivariate parameter estimation assessment using MLOE/MMOM criteria. - +1. Large-scale synthetic matrix generation in dense. +2. Univariate/bivariate/trivariate Gaussian space modeling and prediction using dense, + Tile Low-Rank (TLR), Diagonal Super-Tile (DST) approximations. +3. Univariate/bivariate Gaussian space/time modeling and prediction using dense, + Tile Low-Rank (TLR), Diagonal Super-Tile (DST) approximations. +4. Univariate Gaussian and Tukey g-and-h non-Gaussian space modeling using dense, + Tile Low-Rank (TLR), Diagonal Super-Tile (DST) approximations. +5. Univariate and bivariate parameter estimation assessment using MLOE/MMOM criteria. + +Supported Covariance Functions: +====================== +1. Univariate Matérn (Gaussian/Stationary) +2. Univariate Matérn with Nugget (Gaussian/Stationary) +3. Flexible Bivariate Matérn (Gaussian/Stationary) +4. Parsimonious Bivariate Matérn (Gaussian/Stationary) +5. Parsimonious trivariate Matérn (Gaussian/Stationary) +6. Univariate Space/Time Matérn (Gaussian/Stationary) +7. Bivariate Space/Time Matérn (Gaussian/Stationary) +8. Tukey g-and-h Univariate Matérn (non-Gaussian/Stationary) +9. Tukey g-and-h Univariate Power Exponential (non-Gaussian/Stationary) Programming models: 1. MPI 2. Task-based programming models External libraries: -1. StarPU dynamic runtime system -2. HiCMA -3. Stars-H -4. Chameleon +1. NLOPT +2. GSL +3. HWLOC +4. StarPU dynamic runtime system +5. HiCMA +6. Stars-H +7. Chameleon Installation ============ -Installation requires at least **CMake** of version 3.2.3. To build ExaGeoStat, +Installation requires at least **CMake** of version 2.8.12. To build ExaGeoStat, please follow these instructions: 1. Get from git repository @@ -120,15 +138,24 @@ EXAGEOSTAT. References ========== -1. Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, and David Keyes. "ExaGeoStat: A High Performance Unified Software for Geostatistics on Manycore Systems," IEEE Transactions on Parallel and Distributed Systems (2018). +1. Abdulah, Sameh, Hatem Ltaief, Ying Sun, Marc G. Genton, and David E. Keyes. "ExaGeoStat: A high performance unified software for geostatistics on manycore systems." IEEE Transactions on Parallel and Distributed Systems 29, no. 12 (2018): 2771-2784. + +2. Abdulah, Sameh, Hatem Ltaief, Ying Sun, Marc G. Genton, and David E. Keyes. "Parallel approximation of the maximum likelihood estimation for the prediction of large-scale geostatistics simulations." In 2018 IEEE international conference on cluster computing (CLUSTER), pp. 98-108. IEEE, 2018. + +3. Abdulah, Sameh, Hatem Ltaief, Ying Sun, Marc G. Genton, and David E. Keyes. "Geostatistical modeling and prediction using mixed precision tile Cholesky factorization." In 2019 IEEE 26th international conference on high performance computing, data, and analytics (HiPC), pp. 152-162. IEEE, 2019. + +4. Salvana, Mary Lai O., Sameh Abdulah, Huang Huang, Hatem Ltaief, Ying Sun, Marc G. Genton, and David E. Keyes. "High performance multivariate geospatial statistics on manycore systems." IEEE Transactions on Parallel and Distributed Systems 32, no. 11 (2021): 2719-2733. + +5. Salvaña, Mary Lai O., Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, and David E. Keyes. "Parallel Space-Time Likelihood Optimization for Air Pollution Prediction on Large-Scale Systems." In Proceedings of the Platform for Advanced Scientific Computing Conference (PASC '22). Association for Computing Machinery, New York, NY, USA, Article 17, 1–11. ACM, 2022. + +6. Abdulah, Sameh, Qinglei Cao, Yu Pei, George Bosilca, Jack Dongarra, Marc G. Genton, David E. Keyes, Hatem Ltaief, and Ying Sun. "Accelerating geostatistical modeling and prediction with mixed-precision computations: A high-productivity approach with PaRSEC." IEEE Transactions on Parallel and Distributed Systems 33, no. 4 (2021): 964-976. -2. Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, and David Keyes. "Parallel Approximation of the Maximum Likelihood Estimation for the Prediction of Large-Scale Geostatistics Simulations," IEEE Cluster Conference, Belfast, UK, Septemeber, 2018. +7. Mondal, Sagnik, Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, and David E. Keyes. "Parallel Approximations of the Tukey g-and-h Likelihoods and Predictions for Non-Gaussian Geostatistics." 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS), Lyon, France, 2022, pp. 379-389. IEEE, 2022. -3. Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, and David Keyes. "Geostatistical Modeling and Prediction Using Mixed Precision Tile Cholesky Factorization." 2019 IEEE 26th International Conference on High Performance Computing, Data, and Analytics (HiPC). IEEE, 2019. +8. Cao, Qinglei, Sameh Abdulah, Rabab Alomairy, Yu Pei, Pratik Nag, George Bosilca, Jack Dongarra et al. "Reshaping geostatistical modeling and prediction for extreme-scale environmental applications." In 2022 SC22: International Conference for High Performance Computing, Networking, Storage and Analysis (SC), pp. 13-24. IEEE Computer Society, 2022. (ACM GORDON BELL PRIZE Finalist). Handout ======= More information can be found in this handout: ![Handout](docs/handout.jpg) -# multivariate-modeling diff --git a/VERSION.txt b/VERSION.txt index de38864..134bf77 100755 --- a/VERSION.txt +++ b/VERSION.txt @@ -1,2 +1 @@ -V1.1.0 - +V1.2.0 \ No newline at end of file diff --git a/chameleon b/chameleon new file mode 160000 index 0000000..4db899c --- /dev/null +++ b/chameleon @@ -0,0 +1 @@ +Subproject commit 4db899ca30d29927018d83964b9b6d517269abe1 diff --git a/cmake_modules/GenPkgConfig.cmake b/cmake_modules/GenPkgConfig.cmake index 8813b6f..7baab43 100644 --- a/cmake_modules/GenPkgConfig.cmake +++ b/cmake_modules/GenPkgConfig.cmake @@ -10,8 +10,8 @@ # # @file GenPkgConfig.cmake # -# @project MORSE -# MORSE is a software package provided by: +# @project CHAMELEON +# CHAMELEON is a software package provided by: # Inria Bordeaux - Sud-Ouest, # Univ. of Tennessee, # King Abdullah Univesity of Science and Technology @@ -132,7 +132,7 @@ MACRO(GENERATE_PKGCONFIG_FILE) # --------------- SET(_output_exageostat_file "${CMAKE_BINARY_DIR}/exageostat.pc") - # TODO: add url of MORSE releases in .pc file + # TODO: add url of CHAMELEON releases in .pc file CONFIGURE_FILE("${CMAKE_CURRENT_SOURCE_DIR}/exageostat.pc.in" "${_output_exageostat_file}" @ONLY) # installation diff --git a/cmake_modules/PrintOpts.cmake b/cmake_modules/PrintOpts.cmake index a0ea9ce..37410be 100644 --- a/cmake_modules/PrintOpts.cmake +++ b/cmake_modules/PrintOpts.cmake @@ -11,8 +11,8 @@ # # @file PrintOpts.cmake # -# @project MORSE -# MORSE is a software package provided by: +# @project CHAMELEON +# CHAMELEON is a software package provided by: # Inria Bordemisc - Sud-Ouest, # Univ. of Tennessee, # King Abdullah Univesity of Science and Technology diff --git a/cmake_modules/dependencies/modules/find/FindGSL.cmake b/cmake_modules/dependencies/modules/find/FindGSL.cmake new file mode 100644 index 0000000..8b6da0c --- /dev/null +++ b/cmake_modules/dependencies/modules/find/FindGSL.cmake @@ -0,0 +1,232 @@ +# Distributed under the OSI-approved BSD 3-Clause License. See accompanying +# file Copyright.txt or https://cmake.org/licensing for details. + +#[=======================================================================[.rst: +FindGSL +-------- + +.. versionadded:: 3.2 + +Find the native GNU Scientific Library (GSL) includes and libraries. + +The GNU Scientific Library (GSL) is a numerical library for C and C++ +programmers. It is free software under the GNU General Public +License. + +Imported Targets +^^^^^^^^^^^^^^^^ + +If GSL is found, this module defines the following :prop_tgt:`IMPORTED` +targets:: + + GSL::gsl - The main GSL library. + GSL::gslcblas - The CBLAS support library used by GSL. + +Result Variables +^^^^^^^^^^^^^^^^ + +This module will set the following variables in your project:: + + GSL_FOUND - True if GSL found on the local system + GSL_INCLUDE_DIRS - Location of GSL header files. + GSL_LIBRARIES - The GSL libraries. + GSL_VERSION - The version of the discovered GSL install. + +Hints +^^^^^ + +Set ``GSL_ROOT_DIR`` to a directory that contains a GSL installation. + +This script expects to find libraries at ``$GSL_ROOT_DIR/lib`` and the GSL +headers at ``$GSL_ROOT_DIR/include/gsl``. The library directory may +optionally provide Release and Debug folders. If available, the libraries +named ``gsld``, ``gslblasd`` or ``cblasd`` are recognized as debug libraries. +For Unix-like systems, this script will use ``$GSL_ROOT_DIR/bin/gsl-config`` +(if found) to aid in the discovery of GSL. + +Cache Variables +^^^^^^^^^^^^^^^ + +This module may set the following variables depending on platform and type +of GSL installation discovered. These variables may optionally be set to +help this module find the correct files:: + + GSL_CBLAS_LIBRARY - Location of the GSL CBLAS library. + GSL_CBLAS_LIBRARY_DEBUG - Location of the debug GSL CBLAS library (if any). + GSL_CONFIG_EXECUTABLE - Location of the ``gsl-config`` script (if any). + GSL_LIBRARY - Location of the GSL library. + GSL_LIBRARY_DEBUG - Location of the debug GSL library (if any). + +#]=======================================================================] + +include(FindPackageHandleStandardArgs.cmake) + +#============================================================================= +# If the user has provided ``GSL_ROOT_DIR``, use it! Choose items found +# at this location over system locations. +if( EXISTS "$ENV{GSL_ROOT_DIR}" ) + file( TO_CMAKE_PATH "$ENV{GSL_ROOT_DIR}" GSL_ROOT_DIR ) + set( GSL_ROOT_DIR "${GSL_ROOT_DIR}" CACHE PATH "Prefix for GSL installation." ) +endif() +if( NOT EXISTS "${GSL_ROOT_DIR}" ) + set( GSL_USE_PKGCONFIG ON ) +endif() + +#============================================================================= +# As a first try, use the PkgConfig module. This will work on many +# *NIX systems. See :module:`findpkgconfig` +# This will return ``GSL_INCLUDEDIR`` and ``GSL_LIBDIR`` used below. +message("$ENV{PKG_CONFIG_PATH}") +if( GSL_USE_PKGCONFIG ) + find_package(PkgConfig QUIET) + pkg_check_modules( GSL QUIET gsl ) + + if( EXISTS "${GSL_INCLUDEDIR}" ) + get_filename_component( GSL_ROOT_DIR "${GSL_INCLUDEDIR}" DIRECTORY CACHE) + endif() +endif() + +#============================================================================= +# Set GSL_INCLUDE_DIRS and GSL_LIBRARIES. If we skipped the PkgConfig step, try +# to find the libraries at $GSL_ROOT_DIR (if provided) or in standard system +# locations. These find_library and find_path calls will prefer custom +# locations over standard locations (HINTS). If the requested file is not found +# at the HINTS location, standard system locations will be still be searched +# (/usr/lib64 (Redhat), lib/i386-linux-gnu (Debian)). + +find_path( GSL_INCLUDE_DIR + NAMES gsl/gsl_sf.h + HINTS ${GSL_ROOT_DIR}/include ${GSL_INCLUDEDIR} +) +find_library( GSL_LIBRARY + NAMES gsl + HINTS ${GSL_ROOT_DIR}/lib ${GSL_LIBDIR} + PATH_SUFFIXES Release Debug +) +find_library( GSL_CBLAS_LIBRARY + NAMES gslcblas cblas + HINTS ${GSL_ROOT_DIR}/lib ${GSL_LIBDIR} + PATH_SUFFIXES Release Debug +) +# Do we also have debug versions? +find_library( GSL_LIBRARY_DEBUG + NAMES gsld gsl + HINTS ${GSL_ROOT_DIR}/lib ${GSL_LIBDIR} + PATH_SUFFIXES Debug +) +find_library( GSL_CBLAS_LIBRARY_DEBUG + NAMES gslcblasd cblasd gslcblas cblas + HINTS ${GSL_ROOT_DIR}/lib ${GSL_LIBDIR} + PATH_SUFFIXES Debug +) +set( GSL_INCLUDE_DIRS ${GSL_INCLUDE_DIR} ) +set( GSL_LIBRARIES ${GSL_LIBRARY} ${GSL_CBLAS_LIBRARY} ) + +# If we didn't use PkgConfig, try to find the version via gsl-config or by +# reading gsl_version.h. +if( NOT GSL_VERSION ) + # 1. If gsl-config exists, query for the version. + find_program( GSL_CONFIG_EXECUTABLE + NAMES gsl-config + HINTS "${GSL_ROOT_DIR}/bin" + ) + if( EXISTS "${GSL_CONFIG_EXECUTABLE}" ) + execute_process( + COMMAND "${GSL_CONFIG_EXECUTABLE}" --version + OUTPUT_VARIABLE GSL_VERSION + OUTPUT_STRIP_TRAILING_WHITESPACE ) + endif() + + # 2. If gsl-config is not available, try looking in gsl/gsl_version.h + if( NOT GSL_VERSION AND EXISTS "${GSL_INCLUDE_DIRS}/gsl/gsl_version.h" ) + file( STRINGS "${GSL_INCLUDE_DIRS}/gsl/gsl_version.h" gsl_version_h_contents REGEX "define GSL_VERSION" ) + string( REGEX REPLACE ".*define[ ]+GSL_VERSION[ ]+\"([^\"]*)\".*" "\\1" GSL_VERSION ${gsl_version_h_contents} ) + endif() + + # might also try scraping the directory name for a regex match "gsl-X.X" +endif() + +#============================================================================= +# handle the QUIETLY and REQUIRED arguments and set GSL_FOUND to TRUE if all +# listed variables are TRUE +find_package_handle_standard_args( GSL + FOUND_VAR + GSL_FOUND + REQUIRED_VARS + GSL_INCLUDE_DIR + GSL_LIBRARY + GSL_CBLAS_LIBRARY + VERSION_VAR + GSL_VERSION + ) + +mark_as_advanced( GSL_ROOT_DIR GSL_VERSION GSL_LIBRARY GSL_INCLUDE_DIR + GSL_CBLAS_LIBRARY GSL_LIBRARY_DEBUG GSL_CBLAS_LIBRARY_DEBUG + GSL_USE_PKGCONFIG GSL_CONFIG ) + +#============================================================================= +# Register imported libraries: +# 1. If we can find a Windows .dll file (or if we can find both Debug and +# Release libraries), we will set appropriate target properties for these. +# 2. However, for most systems, we will only register the import location and +# include directory. + +# Look for dlls, or Release and Debug libraries. +if(WIN32) + string( REPLACE ".lib" ".dll" GSL_LIBRARY_DLL "${GSL_LIBRARY}" ) + string( REPLACE ".lib" ".dll" GSL_CBLAS_LIBRARY_DLL "${GSL_CBLAS_LIBRARY}" ) + string( REPLACE ".lib" ".dll" GSL_LIBRARY_DEBUG_DLL "${GSL_LIBRARY_DEBUG}" ) + string( REPLACE ".lib" ".dll" GSL_CBLAS_LIBRARY_DEBUG_DLL "${GSL_CBLAS_LIBRARY_DEBUG}" ) +endif() + +if( GSL_FOUND AND NOT TARGET GSL::gsl ) + if( EXISTS "${GSL_LIBRARY_DLL}" AND EXISTS "${GSL_CBLAS_LIBRARY_DLL}") + + # Windows systems with dll libraries. + add_library( GSL::gsl SHARED IMPORTED ) + add_library( GSL::gslcblas SHARED IMPORTED ) + + # Windows with dlls, but only Release libraries. + set_target_properties( GSL::gslcblas PROPERTIES + IMPORTED_LOCATION_RELEASE "${GSL_CBLAS_LIBRARY_DLL}" + IMPORTED_IMPLIB "${GSL_CBLAS_LIBRARY}" + INTERFACE_INCLUDE_DIRECTORIES "${GSL_INCLUDE_DIRS}" + IMPORTED_CONFIGURATIONS Release + IMPORTED_LINK_INTERFACE_LANGUAGES "C" ) + set_target_properties( GSL::gsl PROPERTIES + IMPORTED_LOCATION_RELEASE "${GSL_LIBRARY_DLL}" + IMPORTED_IMPLIB "${GSL_LIBRARY}" + INTERFACE_INCLUDE_DIRECTORIES "${GSL_INCLUDE_DIRS}" + IMPORTED_CONFIGURATIONS Release + IMPORTED_LINK_INTERFACE_LANGUAGES "C" + INTERFACE_LINK_LIBRARIES GSL::gslcblas ) + + # If we have both Debug and Release libraries + if( EXISTS "${GSL_LIBRARY_DEBUG_DLL}" AND EXISTS "${GSL_CBLAS_LIBRARY_DEBUG_DLL}") + set_property( TARGET GSL::gslcblas APPEND PROPERTY IMPORTED_CONFIGURATIONS Debug ) + set_target_properties( GSL::gslcblas PROPERTIES + IMPORTED_LOCATION_DEBUG "${GSL_CBLAS_LIBRARY_DEBUG_DLL}" + IMPORTED_IMPLIB_DEBUG "${GSL_CBLAS_LIBRARY_DEBUG}" ) + set_property( TARGET GSL::gsl APPEND PROPERTY IMPORTED_CONFIGURATIONS Debug ) + set_target_properties( GSL::gsl PROPERTIES + IMPORTED_LOCATION_DEBUG "${GSL_LIBRARY_DEBUG_DLL}" + IMPORTED_IMPLIB_DEBUG "${GSL_LIBRARY_DEBUG}" ) + endif() + + else() + + # For all other environments (ones without dll libraries), create + # the imported library targets. + add_library( GSL::gsl UNKNOWN IMPORTED ) + add_library( GSL::gslcblas UNKNOWN IMPORTED ) + set_target_properties( GSL::gslcblas PROPERTIES + IMPORTED_LOCATION "${GSL_CBLAS_LIBRARY}" + INTERFACE_INCLUDE_DIRECTORIES "${GSL_INCLUDE_DIRS}" + IMPORTED_LINK_INTERFACE_LANGUAGES "C" ) + set_target_properties( GSL::gsl PROPERTIES + IMPORTED_LOCATION "${GSL_LIBRARY}" + INTERFACE_INCLUDE_DIRECTORIES "${GSL_INCLUDE_DIRS}" + IMPORTED_LINK_INTERFACE_LANGUAGES "C" + INTERFACE_LINK_LIBRARIES GSL::gslcblas ) + endif() +endif() diff --git a/cmake_modules/dependencies/modules/find/FindMKL.cmake b/cmake_modules/dependencies/modules/find/FindMKL.cmake new file mode 100644 index 0000000..7044eb0 --- /dev/null +++ b/cmake_modules/dependencies/modules/find/FindMKL.cmake @@ -0,0 +1,127 @@ +# Find the Math Kernel Library from Intel +# +# MKL_FOUND - System has MKL +# MKL_INCLUDE_DIRS - MKL include files directories +# MKL_LIBRARIES - The MKL libraries +# MKL_INTERFACE_LIBRARY - MKL interface library +# MKL_SEQUENTIAL_LAYER_LIBRARY - MKL sequential layer library +# MKL_CORE_LIBRARY - MKL core library +# +# The environment variables MKLROOT and INTEL are used to find the library. +# Everything else is ignored. If MKL is found "-DMKL_ILP64" is added to +# CMAKE_C_FLAGS and CMAKE_CXX_FLAGS. +# +# Example usage: +# +# find_package(MKL) +# if(MKL_FOUND) +# target_link_libraries(TARGET ${MKL_LIBRARIES}) +# endif() + +# If already in cache, be silent +if (MKL_INCLUDE_DIRS AND MKL_LIBRARIES AND MKL_INTERFACE_LIBRARY AND + MKL_SEQUENTIAL_LAYER_LIBRARY AND MKL_CORE_LIBRARY) + set (MKL_FIND_QUIETLY TRUE) +endif() + +if(NOT BUILD_SHARED_LIBS) + if (WIN32) + set(INT_LIB "mkl_intel_ilp64.lib") + set(SEQ_LIB "mkl_sequential.lib") + set(THR_LIB "mkl_intel_thread.lib") + set(COR_LIB "mkl_core.lib") + else() + set(INT_LIB "libmkl_intel_ilp64.a") + set(SEQ_LIB "libmkl_sequential.a") + set(THR_LIB "libmkl_intel_thread.a") + set(COR_LIB "libmkl_core.a") + endif() +else() + set(INT_LIB "mkl_intel_ilp64") + set(SEQ_LIB "mkl_sequential") + set(THR_LIB "mkl_intel_thread") + set(COR_LIB "mkl_core") +endif() + +if(MSVC) + set(ProgramFilesx86 "ProgramFiles(x86)") + set(INTEL_ROOT_DEFAULT $ENV{${ProgramFilesx86}}/IntelSWTools/compilers_and_libraries/windows) +else() + set(INTEL_ROOT_DEFAULT "/opt/intel") +endif() +set(INTEL_ROOT ${INTEL_ROOT_DEFAULT} CACHE PATH "Folder contains intel libs") +find_path(MKL_ROOT include/mkl.h PATHS $ENV{MKLROOT} ${INTEL_ROOT}/mkl + DOC "Folder contains MKL") + +find_path(MKL_INCLUDE_DIR NAMES mkl.h HINTS ${MKL_ROOT}/include /usr/include/mkl) + + +find_library(MKL_INTERFACE_LIBRARY + NAMES ${INT_LIB} + PATHS ${MKL_ROOT}/lib + ${MKL_ROOT}/lib/intel64 + ${MKL_ROOT}/lib/intel64_win + ${INTEL_ROOT}/mkl/lib/intel64) + +find_library(MKL_SEQUENTIAL_LAYER_LIBRARY + NAMES ${SEQ_LIB} + PATHS ${MKL_ROOT}/lib + ${MKL_ROOT}/lib/intel64 + ${INTEL_ROOT}/mkl/lib/intel64) + +find_library(MKL_CORE_LIBRARY + NAMES ${COR_LIB} + PATHS ${MKL_ROOT}/lib + ${MKL_ROOT}/lib/intel64 + ${INTEL_ROOT}/mkl/lib/intel64) + +set(MKL_INCLUDE_DIRS ${MKL_INCLUDE_DIR}) +set(MKL_LIBRARIES ${MKL_INTERFACE_LIBRARY} ${MKL_SEQUENTIAL_LAYER_LIBRARY} ${MKL_CORE_LIBRARY}) + +if(NOT WIN32 AND NOT APPLE) + # Added -Wl block to avoid circular dependencies. + # https://stackoverflow.com/questions/5651869/what-are-the-start-group-and-end-group-command-line-options + # https://software.intel.com/en-us/articles/intel-mkl-link-line-advisor + set(MKL_LIBRARIES -Wl,--start-group ${MKL_LIBRARIES} -Wl,--end-group) +elseif(APPLE) + # MacOS does not support --start-group and --end-group + set(MKL_LIBRARIES -Wl,${MKL_LIBRARIES} -Wl,) +endif() + +# message("1 ${MKL_INCLUDE_DIR}") +# message("2 ${MKL_INTERFACE_LIBRARY}") +# message("3 ${MKL_SEQUENTIAL_LAYER_LIBRARY}") +# message("4 ${MKL_CORE_LIBRARY}") + +if (MKL_INCLUDE_DIR AND + MKL_INTERFACE_LIBRARY AND + MKL_SEQUENTIAL_LAYER_LIBRARY AND + MKL_CORE_LIBRARY) + + + if (NOT DEFINED ENV{CRAY_PRGENVPGI} AND + NOT DEFINED ENV{CRAY_PRGENVGNU} AND + NOT DEFINED ENV{CRAY_PRGENVCRAY} AND + NOT DEFINED ENV{CRAY_PRGENVINTEL} AND + NOT MSVC) + set(ABI "-m64") + endif() + + set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -DMKL_ILP64 ${ABI}") + set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DMKL_ILP64 ${ABI}") + +else() + set(MKL_INCLUDE_DIRS "") + set(MKL_LIBRARIES "") + set(MKL_INTERFACE_LIBRARY "") + set(MKL_SEQUENTIAL_LAYER_LIBRARY "") + set(MKL_CORE_LIBRARY "") + +endif() + +# Handle the QUIETLY and REQUIRED arguments and set MKL_FOUND to TRUE if +# all listed variables are TRUE. +INCLUDE(FindPackageHandleStandardArgs) +FIND_PACKAGE_HANDLE_STANDARD_ARGS(MKL DEFAULT_MSG MKL_LIBRARIES MKL_INCLUDE_DIRS MKL_INTERFACE_LIBRARY MKL_SEQUENTIAL_LAYER_LIBRARY MKL_CORE_LIBRARY) + +MARK_AS_ADVANCED(MKL_INCLUDE_DIRS MKL_LIBRARIES MKL_INTERFACE_LIBRARY MKL_SEQUENTIAL_LAYER_LIBRARY MKL_CORE_LIBRARY) diff --git a/cmake_modules/dependencies/modules/find/FindMPI.cmake b/cmake_modules/dependencies/modules/find/FindMPI.cmake new file mode 100644 index 0000000..2779032 --- /dev/null +++ b/cmake_modules/dependencies/modules/find/FindMPI.cmake @@ -0,0 +1,1757 @@ +# Distributed under the OSI-approved BSD 3-Clause License. See accompanying +# file Copyright.txt or https://cmake.org/licensing for details. + +#[=======================================================================[.rst: +FindMPI +------- + +Find a Message Passing Interface (MPI) implementation. + +The Message Passing Interface (MPI) is a library used to write +high-performance distributed-memory parallel applications, and is +typically deployed on a cluster. MPI is a standard interface (defined +by the MPI forum) for which many implementations are available. + +Variables for using MPI +^^^^^^^^^^^^^^^^^^^^^^^ + +The module exposes the components ``C``, ``CXX``, ``MPICXX`` and ``Fortran``. +Each of these controls the various MPI languages to search for. +The difference between ``CXX`` and ``MPICXX`` is that ``CXX`` refers to the +MPI C API being usable from C++, whereas ``MPICXX`` refers to the MPI-2 C++ API +that was removed again in MPI-3. + +Depending on the enabled components the following variables will be set: + +``MPI_FOUND`` + Variable indicating that MPI settings for all requested languages have been found. + If no components are specified, this is true if MPI settings for all enabled languages + were detected. Note that the ``MPICXX`` component does not affect this variable. +``MPI_VERSION`` + Minimal version of MPI detected among the requested languages, or all enabled languages + if no components were specified. + +This module will set the following variables per language in your +project, where ```` is one of C, CXX, or Fortran: + +``MPI__FOUND`` + Variable indicating the MPI settings for ```` were found and that + simple MPI test programs compile with the provided settings. +``MPI__COMPILER`` + MPI compiler for ```` if such a program exists. +``MPI__COMPILE_OPTIONS`` + Compilation options for MPI programs in ````, given as a :ref:`;-list `. +``MPI__COMPILE_DEFINITIONS`` + Compilation definitions for MPI programs in ````, given as a :ref:`;-list `. +``MPI__INCLUDE_DIRS`` + Include path(s) for MPI header. +``MPI__LINK_FLAGS`` + Linker flags for MPI programs. +``MPI__LIBRARIES`` + All libraries to link MPI programs against. + +Additionally, the following :prop_tgt:`IMPORTED` targets are defined: + +``MPI::MPI_`` + Target for using MPI from ````. + +The following variables indicating which bindings are present will be defined: + +``MPI_MPICXX_FOUND`` + Variable indicating whether the MPI-2 C++ bindings are present (introduced in MPI-2, removed with MPI-3). +``MPI_Fortran_HAVE_F77_HEADER`` + True if the Fortran 77 header ``mpif.h`` is available. +``MPI_Fortran_HAVE_F90_MODULE`` + True if the Fortran 90 module ``mpi`` can be used for accessing MPI (MPI-2 and higher only). +``MPI_Fortran_HAVE_F08_MODULE`` + True if the Fortran 2008 ``mpi_f08`` is available to MPI programs (MPI-3 and higher only). + +If possible, the MPI version will be determined by this module. The facilities to detect the MPI version +were introduced with MPI-1.2, and therefore cannot be found for older MPI versions. + +``MPI__VERSION_MAJOR`` + Major version of MPI implemented for ```` by the MPI distribution. +``MPI__VERSION_MINOR`` + Minor version of MPI implemented for ```` by the MPI distribution. +``MPI__VERSION`` + MPI version implemented for ```` by the MPI distribution. + +Note that there's no variable for the C bindings being accessible through ``mpi.h``, since the MPI standards +always have required this binding to work in both C and C++ code. + +For running MPI programs, the module sets the following variables + +``MPIEXEC_EXECUTABLE`` + Executable for running MPI programs, if such exists. +``MPIEXEC_NUMPROC_FLAG`` + Flag to pass to ``mpiexec`` before giving it the number of processors to run on. +``MPIEXEC_MAX_NUMPROCS`` + Number of MPI processors to utilize. Defaults to the number + of processors detected on the host system. +``MPIEXEC_PREFLAGS`` + Flags to pass to ``mpiexec`` directly before the executable to run. +``MPIEXEC_POSTFLAGS`` + Flags to pass to ``mpiexec`` after other flags. + +Variables for locating MPI +^^^^^^^^^^^^^^^^^^^^^^^^^^ + +This module performs a three step search for an MPI implementation: + +1. Check if the compiler has MPI support built-in. This is the case if the user passed a + compiler wrapper as ``CMAKE__COMPILER`` or if they're on a Cray system. +2. Attempt to find an MPI compiler wrapper and determine the compiler information from it. +3. Try to find an MPI implementation that does not ship such a wrapper by guessing settings. + Currently, only Microsoft MPI and MPICH2 on Windows are supported. + +For controlling the second step, the following variables may be set: + +``MPI__COMPILER`` + Search for the specified compiler wrapper and use it. +``MPI__COMPILER_FLAGS`` + Flags to pass to the MPI compiler wrapper during interrogation. Some compiler wrappers + support linking debug or tracing libraries if a specific flag is passed and this variable + may be used to obtain them. +``MPI_COMPILER_FLAGS`` + Used to initialize ``MPI__COMPILER_FLAGS`` if no language specific flag has been given. + Empty by default. +``MPI_EXECUTABLE_SUFFIX`` + A suffix which is appended to all names that are being looked for. For instance you may set this + to ``.mpich`` or ``.openmpi`` to prefer the one or the other on Debian and its derivatives. + +In order to control the guessing step, the following variable may be set: + +``MPI_GUESS_LIBRARY_NAME`` + Valid values are ``MSMPI`` and ``MPICH2``. If set, only the given library will be searched for. + By default, ``MSMPI`` will be preferred over ``MPICH2`` if both are available. + This also sets ``MPI_SKIP_COMPILER_WRAPPER`` to ``true``, which may be overridden. + +Each of the search steps may be skipped with the following control variables: + +``MPI_ASSUME_NO_BUILTIN_MPI`` + If true, the module assumes that the compiler itself does not provide an MPI implementation and + skips to step 2. +``MPI_SKIP_COMPILER_WRAPPER`` + If true, no compiler wrapper will be searched for. +``MPI_SKIP_GUESSING`` + If true, the guessing step will be skipped. + +Additionally, the following control variable is available to change search behavior: + +``MPI_CXX_SKIP_MPICXX`` + Add some definitions that will disable the MPI-2 C++ bindings. + Currently supported are MPICH, Open MPI, Platform MPI and derivatives thereof, + for example MVAPICH or Intel MPI. + +If the find procedure fails for a variable ``MPI__WORKS``, then the settings detected by or passed to +the module did not work and even a simple MPI test program failed to compile. + +If all of these parameters were not sufficient to find the right MPI implementation, a user may +disable the entire autodetection process by specifying both a list of libraries in ``MPI__LIBRARIES`` +and a list of include directories in ``MPI__ADDITIONAL_INCLUDE_DIRS``. +Any other variable may be set in addition to these two. The module will then validate the MPI settings and store the +settings in the cache. + +Cache variables for MPI +^^^^^^^^^^^^^^^^^^^^^^^ + +The variable ``MPI__INCLUDE_DIRS`` will be assembled from the following variables. +For C and CXX: + +``MPI__HEADER_DIR`` + Location of the ``mpi.h`` header on disk. + +For Fortran: + +``MPI_Fortran_F77_HEADER_DIR`` + Location of the Fortran 77 header ``mpif.h``, if it exists. +``MPI_Fortran_MODULE_DIR`` + Location of the ``mpi`` or ``mpi_f08`` modules, if available. + +For all languages the following variables are additionally considered: + +``MPI__ADDITIONAL_INCLUDE_DIRS`` + A :ref:`;-list ` of paths needed in addition to the normal include directories. +``MPI__INCLUDE_DIR`` + Path variables for include folders referred to by ````. +``MPI__ADDITIONAL_INCLUDE_VARS`` + A :ref:`;-list ` of ```` that will be added to the include locations of ````. + +The variable ``MPI__LIBRARIES`` will be assembled from the following variables: + +``MPI__LIBRARY`` + The location of a library called ```` for use with MPI. +``MPI__LIB_NAMES`` + A :ref:`;-list ` of ```` that will be added to the include locations of ````. + +Usage of mpiexec +^^^^^^^^^^^^^^^^ + +When using ``MPIEXEC_EXECUTABLE`` to execute MPI applications, you should typically +use all of the ``MPIEXEC_EXECUTABLE`` flags as follows: + +:: + + ${MPIEXEC_EXECUTABLE} ${MPIEXEC_NUMPROC_FLAG} ${MPIEXEC_MAX_NUMPROCS} + ${MPIEXEC_PREFLAGS} EXECUTABLE ${MPIEXEC_POSTFLAGS} ARGS + +where ``EXECUTABLE`` is the MPI program, and ``ARGS`` are the arguments to +pass to the MPI program. + +Advanced variables for using MPI +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +The module can perform some advanced feature detections upon explicit request. + +**Important notice:** The following checks cannot be performed without *executing* an MPI test program. +Consider the special considerations for the behavior of :command:`try_run` during cross compilation. +Moreover, running an MPI program can cause additional issues, like a firewall notification on some systems. +You should only enable these detections if you absolutely need the information. + +If the following variables are set to true, the respective search will be performed: + +``MPI_DETERMINE_Fortran_CAPABILITIES`` + Determine for all available Fortran bindings what the values of ``MPI_SUBARRAYS_SUPPORTED`` and + ``MPI_ASYNC_PROTECTS_NONBLOCKING`` are and make their values available as ``MPI_Fortran__SUBARRAYS`` + and ``MPI_Fortran__ASYNCPROT``, where ```` is one of ``F77_HEADER``, ``F90_MODULE`` and + ``F08_MODULE``. +``MPI_DETERMINE_LIBRARY_VERSION`` + For each language, find the output of ``MPI_Get_library_version`` and make it available as ``MPI__LIBRARY_VERSION_STRING``. + This information is usually tied to the runtime component of an MPI implementation and might differ depending on ````. + Note that the return value is entirely implementation defined. This information might be used to identify + the MPI vendor and for example pick the correct one of multiple third party binaries that matches the MPI vendor. + +Backward Compatibility +^^^^^^^^^^^^^^^^^^^^^^ + +For backward compatibility with older versions of FindMPI, these +variables are set, but deprecated: + +:: + + MPI_COMPILER MPI_LIBRARY MPI_EXTRA_LIBRARY + MPI_COMPILE_FLAGS MPI_INCLUDE_PATH MPI_LINK_FLAGS + MPI_LIBRARIES + +In new projects, please use the ``MPI__XXX`` equivalents. +Additionally, the following variables are deprecated: + +``MPI__COMPILE_FLAGS`` + Use ``MPI__COMPILE_OPTIONS`` and ``MPI__COMPILE_DEFINITIONS`` instead. +``MPI__INCLUDE_PATH`` + For consumption use ``MPI__INCLUDE_DIRS`` and for specifying folders use ``MPI__ADDITIONAL_INCLUDE_DIRS`` instead. +``MPIEXEC`` + Use ``MPIEXEC_EXECUTABLE`` instead. +#]=======================================================================] + +cmake_policy(PUSH) +cmake_policy(SET CMP0057 NEW) # if IN_LIST + +include(${CMAKE_CURRENT_LIST_DIR}/FindPackageHandleStandardArgs.cmake) + +# Generic compiler names +set(_MPI_C_GENERIC_COMPILER_NAMES mpicc mpcc mpicc_r mpcc_r) +set(_MPI_CXX_GENERIC_COMPILER_NAMES mpicxx mpiCC mpcxx mpCC mpic++ mpc++ + mpicxx_r mpiCC_r mpcxx_r mpCC_r mpic++_r mpc++_r) +set(_MPI_Fortran_GENERIC_COMPILER_NAMES mpif95 mpif95_r mpf95 mpf95_r + mpif90 mpif90_r mpf90 mpf90_r + mpif77 mpif77_r mpf77 mpf77_r + mpifc) + +# GNU compiler names +set(_MPI_GNU_C_COMPILER_NAMES mpigcc mpgcc mpigcc_r mpgcc_r) +set(_MPI_GNU_CXX_COMPILER_NAMES mpig++ mpg++ mpig++_r mpg++_r mpigxx) +set(_MPI_GNU_Fortran_COMPILER_NAMES mpigfortran mpgfortran mpigfortran_r mpgfortran_r + mpig77 mpig77_r mpg77 mpg77_r) + +# Intel MPI compiler names on Windows +if(WIN32) + list(APPEND _MPI_C_GENERIC_COMPILER_NAMES mpicc.bat) + list(APPEND _MPI_CXX_GENERIC_COMPILER_NAMES mpicxx.bat) + list(APPEND _MPI_Fortran_GENERIC_COMPILER_NAMES mpifc.bat) + + # Intel MPI compiler names + set(_MPI_Intel_C_COMPILER_NAMES mpiicc.bat) + set(_MPI_Intel_CXX_COMPILER_NAMES mpiicpc.bat) + set(_MPI_Intel_Fortran_COMPILER_NAMES mpiifort.bat mpif77.bat mpif90.bat) + + # Intel MPI compiler names for MSMPI + set(_MPI_MSVC_C_COMPILER_NAMES mpicl.bat) + set(_MPI_MSVC_CXX_COMPILER_NAMES mpicl.bat) +else() + # Intel compiler names + set(_MPI_Intel_C_COMPILER_NAMES mpiicc) + set(_MPI_Intel_CXX_COMPILER_NAMES mpiicpc mpiicxx mpiic++) + set(_MPI_Intel_Fortran_COMPILER_NAMES mpiifort mpiif95 mpiif90 mpiif77) +endif() + +# PGI compiler names +set(_MPI_PGI_C_COMPILER_NAMES mpipgcc mppgcc) +set(_MPI_PGI_CXX_COMPILER_NAMES mpipgCC mppgCC) +set(_MPI_PGI_Fortran_COMPILER_NAMES mpipgf95 mpipgf90 mppgf95 mppgf90 mpipgf77 mppgf77) + +# XLC MPI Compiler names +set(_MPI_XL_C_COMPILER_NAMES mpxlc mpxlc_r mpixlc mpixlc_r) +set(_MPI_XL_CXX_COMPILER_NAMES mpixlcxx mpixlC mpixlc++ mpxlcxx mpxlc++ mpixlc++ mpxlCC + mpixlcxx_r mpixlC_r mpixlc++_r mpxlcxx_r mpxlc++_r mpixlc++_r mpxlCC_r) +set(_MPI_XL_Fortran_COMPILER_NAMES mpixlf95 mpixlf95_r mpxlf95 mpxlf95_r + mpixlf90 mpixlf90_r mpxlf90 mpxlf90_r + mpixlf77 mpixlf77_r mpxlf77 mpxlf77_r + mpixlf mpixlf_r mpxlf mpxlf_r) + +# Prepend vendor-specific compiler wrappers to the list. If we don't know the compiler, +# attempt all of them. +# By attempting vendor-specific compiler names first, we should avoid situations where the compiler wrapper +# stems from a proprietary MPI and won't know which compiler it's being used for. For instance, Intel MPI +# controls its settings via the I_MPI_CC environment variables if the generic name is being used. +# If we know which compiler we're working with, we can use the most specialized wrapper there is in order to +# pick up the right settings for it. +foreach (LANG IN ITEMS C CXX Fortran) + set(_MPI_${LANG}_COMPILER_NAMES "") + foreach (id IN ITEMS GNU Intel MSVC PGI XL) + if (NOT CMAKE_${LANG}_COMPILER_ID OR CMAKE_${LANG}_COMPILER_ID STREQUAL id) + foreach(_COMPILER_NAME IN LISTS _MPI_${id}_${LANG}_COMPILER_NAMES) + list(APPEND _MPI_${LANG}_COMPILER_NAMES ${_COMPILER_NAME}${MPI_EXECUTABLE_SUFFIX}) + endforeach() + endif() + unset(_MPI_${id}_${LANG}_COMPILER_NAMES) + endforeach() + foreach(_COMPILER_NAME IN LISTS _MPI_${LANG}_GENERIC_COMPILER_NAMES) + list(APPEND _MPI_${LANG}_COMPILER_NAMES ${_COMPILER_NAME}${MPI_EXECUTABLE_SUFFIX}) + endforeach() + unset(_MPI_${LANG}_GENERIC_COMPILER_NAMES) +endforeach() + +# Names to try for mpiexec +# Only mpiexec commands are guaranteed to behave as described in the standard, +# mpirun commands are not covered by the standard in any way whatsoever. +# lamexec is the executable for LAM/MPI, srun is for SLURM or Open MPI with SLURM support. +# srun -n X is however a valid command, so it behaves 'like' mpiexec. +set(_MPIEXEC_NAMES_BASE mpiexec mpiexec.hydra mpiexec.mpd mpirun lamexec srun) + +unset(_MPIEXEC_NAMES) +foreach(_MPIEXEC_NAME IN LISTS _MPIEXEC_NAMES_BASE) + list(APPEND _MPIEXEC_NAMES "${_MPIEXEC_NAME}${MPI_EXECUTABLE_SUFFIX}") +endforeach() +unset(_MPIEXEC_NAMES_BASE) + +function (_MPI_check_compiler LANG QUERY_FLAG OUTPUT_VARIABLE RESULT_VARIABLE) + if(DEFINED MPI_${LANG}_COMPILER_FLAGS) + separate_arguments(_MPI_COMPILER_WRAPPER_OPTIONS NATIVE_COMMAND "${MPI_${LANG}_COMPILER_FLAGS}") + else() + separate_arguments(_MPI_COMPILER_WRAPPER_OPTIONS NATIVE_COMMAND "${MPI_COMPILER_FLAGS}") + endif() + execute_process( + COMMAND ${MPI_${LANG}_COMPILER} ${_MPI_COMPILER_WRAPPER_OPTIONS} ${QUERY_FLAG} + OUTPUT_VARIABLE WRAPPER_OUTPUT OUTPUT_STRIP_TRAILING_WHITESPACE + ERROR_VARIABLE WRAPPER_OUTPUT ERROR_STRIP_TRAILING_WHITESPACE + RESULT_VARIABLE WRAPPER_RETURN) + # Some compiler wrappers will yield spurious zero return values, for example + # Intel MPI tolerates unknown arguments and if the MPI wrappers loads a shared + # library that has invalid or missing version information there would be warning + # messages emitted by ld.so in the compiler output. In either case, we'll treat + # the output as invalid. + if("${WRAPPER_OUTPUT}" MATCHES "undefined reference|unrecognized|need to set|no version information available|command not found") + set(WRAPPER_RETURN 255) + endif() + # Ensure that no error output might be passed upwards. + if(NOT WRAPPER_RETURN EQUAL 0) + unset(WRAPPER_OUTPUT) + else() + # Strip leading whitespace + string(REGEX REPLACE "^ +" "" WRAPPER_OUTPUT "${WRAPPER_OUTPUT}") + endif() + set(${OUTPUT_VARIABLE} "${WRAPPER_OUTPUT}" PARENT_SCOPE) + set(${RESULT_VARIABLE} "${WRAPPER_RETURN}" PARENT_SCOPE) +endfunction() + +macro(_MPI_env_set_ifnot VAR VALUE) + if(NOT DEFINED ENV{${VAR}}) + set(_MPI_${VAR}_WAS_SET FALSE) + set(ENV{${VAR}} ${${VALUE}}) + else() + set(_MPI_${VAR}_WAS_SET TRUE) + endif() +endmacro() + +macro(_MPI_env_unset_ifnot VAR) + if(NOT _MPI_${VAR}_WAS_SET) + unset(ENV{${VAR}}) + endif() +endmacro() + +function (_MPI_interrogate_compiler LANG) + unset(MPI_COMPILE_CMDLINE) + unset(MPI_LINK_CMDLINE) + + unset(MPI_COMPILE_OPTIONS_WORK) + unset(MPI_COMPILE_DEFINITIONS_WORK) + unset(MPI_INCLUDE_DIRS_WORK) + unset(MPI_LINK_FLAGS_WORK) + unset(MPI_LIB_NAMES_WORK) + unset(MPI_LIB_FULLPATHS_WORK) + + # Define the MPICH and Intel MPI compiler variables to the compilers set in CMake. + # It's possible to have a per-compiler configuration in these MPI implementations and + # a particular MPICH derivate might check compiler interoperability. + # Intel MPI in particular does this with I_MPI_CHECK_COMPILER. + file(TO_NATIVE_PATH "${CMAKE_${LANG}_COMPILER}" _MPI_UNDERLAYING_COMPILER) + # On Windows, the Intel MPI batch scripts can only work with filnames - Full paths will break them. + # Due to the lack of other MPICH-based wrappers for Visual C++, we may treat this as default. + if(MSVC) + get_filename_component(_MPI_UNDERLAYING_COMPILER "${_MPI_UNDERLAYING_COMPILER}" NAME) + endif() + if("${LANG}" STREQUAL "C") + _MPI_env_set_ifnot(I_MPI_CC _MPI_UNDERLAYING_COMPILER) + _MPI_env_set_ifnot(MPICH_CC _MPI_UNDERLAYING_COMPILER) + elseif("${LANG}" STREQUAL "CXX") + _MPI_env_set_ifnot(I_MPI_CXX _MPI_UNDERLAYING_COMPILER) + _MPI_env_set_ifnot(MPICH_CXX _MPI_UNDERLAYING_COMPILER) + elseif("${LANG}" STREQUAL "Fortran") + _MPI_env_set_ifnot(I_MPI_FC _MPI_UNDERLAYING_COMPILER) + _MPI_env_set_ifnot(MPICH_FC _MPI_UNDERLAYING_COMPILER) + _MPI_env_set_ifnot(I_MPI_F77 _MPI_UNDERLAYING_COMPILER) + _MPI_env_set_ifnot(MPICH_F77 _MPI_UNDERLAYING_COMPILER) + _MPI_env_set_ifnot(I_MPI_F90 _MPI_UNDERLAYING_COMPILER) + _MPI_env_set_ifnot(MPICH_F90 _MPI_UNDERLAYING_COMPILER) + endif() + + # Set these two variables for Intel MPI: + # - I_MPI_DEBUG_INFO_STRIP: It adds 'objcopy' lines to the compiler output. We support stripping them + # (see below), but if we can avoid them in the first place, we should. + # - I_MPI_FORT_BIND: By default Intel MPI makes the C/C++ compiler wrappers link Fortran bindings. + # This is so that mixed-language code doesn't require additional libraries when linking with mpicc. + # For our purposes, this makes little sense, since correct MPI usage from CMake already circumvenes this. + set(_MPI_ENV_VALUE "disable") + _MPI_env_set_ifnot(I_MPI_DEBUG_INFO_STRIP _MPI_ENV_VALUE) + _MPI_env_set_ifnot(I_MPI_FORT_BIND _MPI_ENV_VALUE) + + # Check whether the -showme:compile option works. This indicates that we have either Open MPI + # or a newer version of LAM/MPI, and implies that -showme:link will also work. + # Open MPI also supports -show, but separates linker and compiler information + _MPI_check_compiler(${LANG} "-showme:compile" MPI_COMPILE_CMDLINE MPI_COMPILER_RETURN) + if (MPI_COMPILER_RETURN EQUAL 0) + _MPI_check_compiler(${LANG} "-showme:link" MPI_LINK_CMDLINE MPI_COMPILER_RETURN) + + if (NOT MPI_COMPILER_RETURN EQUAL 0) + unset(MPI_COMPILE_CMDLINE) + endif() + endif() + + # MPICH and MVAPICH offer -compile-info and -link-info. + # For modern versions, both do the same as -show. However, for old versions, they do differ + # when called for mpicxx and mpif90 and it's necessary to use them over -show in order to find the + # removed MPI C++ bindings. + if (NOT MPI_COMPILER_RETURN EQUAL 0) + _MPI_check_compiler(${LANG} "-compile-info" MPI_COMPILE_CMDLINE MPI_COMPILER_RETURN) + + if (MPI_COMPILER_RETURN EQUAL 0) + _MPI_check_compiler(${LANG} "-link-info" MPI_LINK_CMDLINE MPI_COMPILER_RETURN) + + if (NOT MPI_COMPILER_RETURN EQUAL 0) + unset(MPI_COMPILE_CMDLINE) + endif() + endif() + endif() + + # MPICH, MVAPICH2 and Intel MPI just use "-show". Open MPI also offers this, but the + # -showme commands are more specialized. + if (NOT MPI_COMPILER_RETURN EQUAL 0) + _MPI_check_compiler(${LANG} "-show" MPI_COMPILE_CMDLINE MPI_COMPILER_RETURN) + endif() + + # Older versions of LAM/MPI have "-showme". Open MPI also supports this. + # Unknown to MPICH, MVAPICH and Intel MPI. + if (NOT MPI_COMPILER_RETURN EQUAL 0) + _MPI_check_compiler(${LANG} "-showme" MPI_COMPILE_CMDLINE MPI_COMPILER_RETURN) + endif() + + if (MPI_COMPILER_RETURN EQUAL 0 AND DEFINED MPI_COMPILE_CMDLINE) + # Intel MPI can be run with -compchk or I_MPI_CHECK_COMPILER set to 1. + # In this case, -show will be prepended with a line to the compiler checker. This is a script that performs + # compatibility checks and returns a non-zero exit code together with an error if something fails. + # It has to be called as "compchk.sh ". Here, is one out of 32 (i686), 64 (ia64) or 32e (x86_64). + # The compiler is identified by filename, and can be either the MPI compiler or the underlying compiler. + # NOTE: It is vital to run this script while the environment variables are set up, otherwise it can check the wrong compiler. + if("${MPI_COMPILE_CMDLINE}" MATCHES "^([^\" ]+/compchk.sh|\"[^\"]+/compchk.sh\") +([^ ]+)") + # Now CMAKE_MATCH_1 contains the path to the compchk.sh file and CMAKE_MATCH_2 the architecture flag. + unset(COMPILER_CHECKER_OUTPUT) + execute_process( + COMMAND ${CMAKE_MATCH_1} ${CMAKE_MATCH_2} ${MPI_${LANG}_COMPILER} + OUTPUT_VARIABLE COMPILER_CHECKER_OUTPUT OUTPUT_STRIP_TRAILING_WHITESPACE + ERROR_VARIABLE COMPILER_CHECKER_OUTPUT ERROR_STRIP_TRAILING_WHITESPACE + RESULT_VARIABLE MPI_COMPILER_RETURN) + # If it returned a non-zero value, the check below will fail and cause the interrogation to be aborted. + if(NOT MPI_COMPILER_RETURN EQUAL 0) + if(NOT MPI_FIND_QUIETLY) + message(STATUS "Intel MPI compiler check failed: ${COMPILER_CHECKER_OUTPUT}") + endif() + else() + # Since the check passed, we can remove the compchk.sh script. + string(REGEX REPLACE "^([^\" ]+|\"[^\"]+\")/compchk.sh.*\n" "" MPI_COMPILE_CMDLINE "${MPI_COMPILE_CMDLINE}") + endif() + endif() + endif() + + # Revert changes to the environment made previously + if("${LANG}" STREQUAL "C") + _MPI_env_unset_ifnot(I_MPI_CC) + _MPI_env_unset_ifnot(MPICH_CC) + elseif("${LANG}" STREQUAL "CXX") + _MPI_env_unset_ifnot(I_MPI_CXX) + _MPI_env_unset_ifnot(MPICH_CXX) + elseif("${LANG}" STREQUAL "Fortran") + _MPI_env_unset_ifnot(I_MPI_FC) + _MPI_env_unset_ifnot(MPICH_FC) + _MPI_env_unset_ifnot(I_MPI_F77) + _MPI_env_unset_ifnot(MPICH_F77) + _MPI_env_unset_ifnot(I_MPI_F90) + _MPI_env_unset_ifnot(MPICH_F90) + endif() + + _MPI_env_unset_ifnot(I_MPI_DEBUG_INFO_STRIP) + _MPI_env_unset_ifnot(I_MPI_FORT_BIND) + + if (NOT (MPI_COMPILER_RETURN EQUAL 0) OR NOT (DEFINED MPI_COMPILE_CMDLINE)) + # Cannot interrogate this compiler, so exit. + set(MPI_${LANG}_WRAPPER_FOUND FALSE PARENT_SCOPE) + return() + endif() + unset(MPI_COMPILER_RETURN) + + # We have our command lines, but we might need to copy MPI_COMPILE_CMDLINE + # into MPI_LINK_CMDLINE, if we didn't find the link line. + if (NOT DEFINED MPI_LINK_CMDLINE) + set(MPI_LINK_CMDLINE "${MPI_COMPILE_CMDLINE}") + endif() + + # Visual Studio parsers permit each flag prefixed by either / or -. + # We'll normalize this to the - syntax we use for CMake purposes anyways. + if(MSVC) + foreach(_MPI_VARIABLE IN ITEMS COMPILE LINK) + # The Intel MPI wrappers on Windows prefix their output with some copyright boilerplate. + # To prevent possible problems, we discard this text before proceeding with any further matching. + string(REGEX REPLACE "^[^ ]+ for the Intel\\(R\\) MPI Library [^\n]+ for Windows\\*\nCopyright\\(C\\) [^\n]+, Intel Corporation\\. All rights reserved\\.\n\n" "" + MPI_${_MPI_VARIABLE}_CMDLINE "${MPI_${_MPI_VARIABLE}_CMDLINE}") + string(REGEX REPLACE "(^| )/" "\\1-" MPI_${_MPI_VARIABLE}_CMDLINE "${MPI_${_MPI_VARIABLE}_CMDLINE}") + string(REPLACE "-libpath:" "-LIBPATH:" MPI_${_MPI_VARIABLE}_CMDLINE "${MPI_${_MPI_VARIABLE}_CMDLINE}") + endforeach() + endif() + + # For MSVC and cl-compatible compilers, the keyword /link indicates a point after which + # everything following is passed to the linker. In this case, we drop all prior information + # from the link line and treat any unknown extra flags as linker flags. + set(_MPI_FILTERED_LINK_INFORMATION FALSE) + if(MSVC) + if(MPI_LINK_CMDLINE MATCHES " -(link|LINK) ") + string(REGEX REPLACE ".+-(link|LINK) +" "" MPI_LINK_CMDLINE "${MPI_LINK_CMDLINE}") + set(_MPI_FILTERED_LINK_INFORMATION TRUE) + endif() + string(REGEX REPLACE " +-(link|LINK) .+" "" MPI_COMPILE_CMDLINE "${MPI_COMPILE_CMDLINE}") + endif() + + if(UNIX) + # At this point, we obtained some output from a compiler wrapper that works. + # We'll now try to parse it into variables with meaning to us. + if("${LANG}" STREQUAL "Fortran") + # If MPICH (and derivates) didn't recognize the Fortran compiler include flag during configuration, + # they'll return a set of three commands, consisting out of a symlink command for mpif.h, + # the actual compiler command and deletion of the created symlink. + # Especially with M(VA)PICH-1, this appears to happen erroneously, and therefore we should translate + # this output into an additional include directory and then drop it from the output. + if("${MPI_COMPILE_CMDLINE}" MATCHES "^ln -s ([^\" ]+|\"[^\"]+\") mpif.h") + get_filename_component(MPI_INCLUDE_DIRS_WORK "${CMAKE_MATCH_1}" DIRECTORY) + string(REGEX REPLACE "^ln -s ([^\" ]+|\"[^\"]+\") mpif.h\n" "" MPI_COMPILE_CMDLINE "${MPI_COMPILE_CMDLINE}") + string(REGEX REPLACE "^ln -s ([^\" ]+|\"[^\"]+\") mpif.h\n" "" MPI_LINK_CMDLINE "${MPI_LINK_CMDLINE}") + string(REGEX REPLACE "\nrm -f mpif.h$" "" MPI_COMPILE_CMDLINE "${MPI_COMPILE_CMDLINE}") + string(REGEX REPLACE "\nrm -f mpif.h$" "" MPI_LINK_CMDLINE "${MPI_LINK_CMDLINE}") + endif() + endif() + + # If Intel MPI was configured for static linkage with -static_mpi, the wrapper will by default strip + # debug information from resulting binaries (see I_MPI_DEBUG_INFO_STRIP). + # Since we cannot process this information into CMake logic, we need to discard the resulting objcopy + # commands from the output. + string(REGEX REPLACE "(^|\n)objcopy[^\n]+(\n|$)" "" MPI_COMPILE_CMDLINE "${MPI_COMPILE_CMDLINE}") + string(REGEX REPLACE "(^|\n)objcopy[^\n]+(\n|$)" "" MPI_LINK_CMDLINE "${MPI_LINK_CMDLINE}") + endif() + + # For Visual C++, extracting compiler options in a generic fashion isn't easy. However, no MPI implementation + # on Windows seems to require any specific ones, either. + if(NOT MSVC) + # Extract compile options from the compile command line. + string(REGEX MATCHALL "(^| )-f([^\" ]+|\"[^\"]+\")" MPI_ALL_COMPILE_OPTIONS "${MPI_COMPILE_CMDLINE}") + + foreach(_MPI_COMPILE_OPTION IN LISTS MPI_ALL_COMPILE_OPTIONS) + string(REGEX REPLACE "^ " "" _MPI_COMPILE_OPTION "${_MPI_COMPILE_OPTION}") + + # Ignore -fstack-protector directives: These occur on MPICH and MVAPICH when the libraries + # themselves were built with this flag. However, this flag is unrelated to using MPI, and + # we won't match the accompanying --param-ssp-size and -Wp,-D_FORTIFY_SOURCE flags and therefore + # produce inconsistent results with the regularly flags. + # Similarly, aliasing flags do not belong into our flag array. + if(NOT "${_MPI_COMPILE_OPTION}" MATCHES "^-f((no-|)(stack-protector|strict-aliasing)|PI[CE]|pi[ce])") + list(APPEND MPI_COMPILE_OPTIONS_WORK "${_MPI_COMPILE_OPTION}") + endif() + endforeach() + endif() + + # For GNU-style compilers, it's possible to prefix includes and definitions with certain flags to pass them + # only to the preprocessor. For CMake purposes, we need to treat, but ignore such scopings. + # Note that we do not support spaces between the arguments, i.e. -Wp,-I -Wp,/opt/mympi will not be parsed + # correctly. This form does not seem to occur in any common MPI implementation, however. + if(NOT MSVC) + set(_MPI_PREPROCESSOR_FLAG_REGEX "(-Wp,|-Xpreprocessor )?") + else() + set(_MPI_PREPROCESSOR_FLAG_REGEX "") + endif() + + # Same deal as above, for the definitions. + string(REGEX MATCHALL "(^| )${_MPI_PREPROCESSOR_FLAG_REGEX}-D *([^\" ]+|\"[^\"]+\")" MPI_ALL_COMPILE_DEFINITIONS "${MPI_COMPILE_CMDLINE}") + + foreach(_MPI_COMPILE_DEFINITION IN LISTS MPI_ALL_COMPILE_DEFINITIONS) + string(REGEX REPLACE "^ ?${_MPI_PREPROCESSOR_FLAG_REGEX}-D *" "" _MPI_COMPILE_DEFINITION "${_MPI_COMPILE_DEFINITION}") + string(REPLACE "\"" "" _MPI_COMPILE_DEFINITION "${_MPI_COMPILE_DEFINITION}") + if(NOT "${_MPI_COMPILE_DEFINITION}" MATCHES "^_FORTIFY_SOURCE.*") + list(APPEND MPI_COMPILE_DEFINITIONS_WORK "${_MPI_COMPILE_DEFINITION}") + endif() + endforeach() + + # Extract include paths from compile command line + string(REGEX MATCHALL "(^| )${_MPI_PREPROCESSOR_FLAG_REGEX}${CMAKE_INCLUDE_FLAG_${LANG}} *([^\" ]+|\"[^\"]+\")" + MPI_ALL_INCLUDE_PATHS "${MPI_COMPILE_CMDLINE}") + + # If extracting failed to work, we'll try using -showme:incdirs. + # Unlike before, we do this without the environment variables set up, but since only MPICH derivates are affected by any of them, and + # -showme:... is only supported by Open MPI and LAM/MPI, this isn't a concern. + if (NOT MPI_ALL_INCLUDE_PATHS) + _MPI_check_compiler(${LANG} "-showme:incdirs" MPI_INCDIRS_CMDLINE MPI_INCDIRS_COMPILER_RETURN) + if(MPI_INCDIRS_COMPILER_RETURN) + separate_arguments(MPI_ALL_INCLUDE_PATHS NATIVE_COMMAND "${MPI_INCDIRS_CMDLINE}") + endif() + endif() + + foreach(_MPI_INCLUDE_PATH IN LISTS MPI_ALL_INCLUDE_PATHS) + string(REGEX REPLACE "^ ?${_MPI_PREPROCESSOR_FLAG_REGEX}${CMAKE_INCLUDE_FLAG_${LANG}} *" "" _MPI_INCLUDE_PATH "${_MPI_INCLUDE_PATH}") + string(REPLACE "\"" "" _MPI_INCLUDE_PATH "${_MPI_INCLUDE_PATH}") + get_filename_component(_MPI_INCLUDE_PATH "${_MPI_INCLUDE_PATH}" REALPATH) + list(APPEND MPI_INCLUDE_DIRS_WORK "${_MPI_INCLUDE_PATH}") + endforeach() + + # The next step are linker flags and library directories. Here, we first take the flags given in raw -L or -LIBPATH: syntax. + string(REGEX MATCHALL "(^| )${CMAKE_LIBRARY_PATH_FLAG} *([^\" ]+|\"[^\"]+\")" MPI_DIRECT_LINK_PATHS "${MPI_LINK_CMDLINE}") + foreach(_MPI_LPATH IN LISTS MPI_DIRECT_LINK_PATHS) + string(REGEX REPLACE "(^| )${CMAKE_LIBRARY_PATH_FLAG} *" "" _MPI_LPATH "${_MPI_LPATH}") + list(APPEND MPI_ALL_LINK_PATHS "${_MPI_LPATH}") + endforeach() + + # If the link commandline hasn't been filtered (e.g. when using MSVC and /link), we need to extract the relevant parts first. + if(NOT _MPI_FILTERED_LINK_INFORMATION) + string(REGEX MATCHALL "(^| )(-Wl,|-Xlinker +)([^\" ]+|\"[^\"]+\")" MPI_LINK_FLAGS "${MPI_LINK_CMDLINE}") + + # In this case, we could also find some indirectly given linker paths, e.g. prefixed by -Xlinker or -Wl, + # Since syntaxes like -Wl,-L -Wl,/my/path/to/lib are also valid, we parse these paths by first removing -Wl, and -Xlinker + # from the list of filtered flags and then parse the remainder of the output. + string(REGEX REPLACE "(-Wl,|-Xlinker +)" "" MPI_LINK_FLAGS_RAW "${MPI_LINK_FLAGS}") + + # Now we can parse the leftover output. Note that spaces can now be handled since the above example would reduce to + # -L /my/path/to/lib and can be extracted correctly. + string(REGEX MATCHALL "^(${CMAKE_LIBRARY_PATH_FLAG},? *|--library-path=)([^\" ]+|\"[^\"]+\")" + MPI_INDIRECT_LINK_PATHS "${MPI_LINK_FLAGS_RAW}") + + foreach(_MPI_LPATH IN LISTS MPI_INDIRECT_LINK_PATHS) + string(REGEX REPLACE "^(${CMAKE_LIBRARY_PATH_FLAG},? *|--library-path=)" "" _MPI_LPATH "${_MPI_LPATH}") + list(APPEND MPI_ALL_LINK_PATHS "${_MPI_LPATH}") + endforeach() + + # We need to remove the flags we extracted from the linker flag list now. + string(REGEX REPLACE "(^| )(-Wl,|-Xlinker +)(${CMAKE_LIBRARY_PATH_FLAG},? *(-Wl,|-Xlinker +)?|--library-path=)([^\" ]+|\"[^\"]+\")" "" + MPI_LINK_CMDLINE_FILTERED "${MPI_LINK_CMDLINE}") + + # Some MPI implementations pass on options they themselves were built with. Since -z,noexecstack is a common + # hardening, we should strip it. In general, the -z options should be undesirable. + string(REGEX REPLACE "(^| )-Wl,-z(,[^ ]+| +-Wl,[^ ]+)" "" MPI_LINK_CMDLINE_FILTERED "${MPI_LINK_CMDLINE_FILTERED}") + string(REGEX REPLACE "(^| )-Xlinker +-z +-Xlinker +[^ ]+" "" MPI_LINK_CMDLINE_FILTERED "${MPI_LINK_CMDLINE_FILTERED}") + + # We only consider options of the form -Wl or -Xlinker: + string(REGEX MATCHALL "(^| )(-Wl,|-Xlinker +)([^\" ]+|\"[^\"]+\")" MPI_ALL_LINK_FLAGS "${MPI_LINK_CMDLINE_FILTERED}") + + # As a next step, we assemble the linker flags extracted in a preliminary flags string + foreach(_MPI_LINK_FLAG IN LISTS MPI_ALL_LINK_FLAGS) + string(STRIP "${_MPI_LINK_FLAG}" _MPI_LINK_FLAG) + if (MPI_LINK_FLAGS_WORK) + string(APPEND MPI_LINK_FLAGS_WORK " ${_MPI_LINK_FLAG}") + else() + set(MPI_LINK_FLAGS_WORK "${_MPI_LINK_FLAG}") + endif() + endforeach() + else() + # In the filtered case, we obtain the link time flags by just stripping the library paths. + string(REGEX REPLACE "(^| )${CMAKE_LIBRARY_PATH_FLAG} *([^\" ]+|\"[^\"]+\")" "" MPI_LINK_CMDLINE_FILTERED "${MPI_LINK_CMDLINE}") + endif() + + # If we failed to extract any linker paths, we'll try using the -showme:libdirs option with the MPI compiler. + # This will return a list of folders, not a set of flags! + if (NOT MPI_ALL_LINK_PATHS) + _MPI_check_compiler(${LANG} "-showme:libdirs" MPI_LIBDIRS_CMDLINE MPI_LIBDIRS_COMPILER_RETURN) + if(MPI_LIBDIRS_COMPILER_RETURN) + separate_arguments(MPI_ALL_LINK_PATHS NATIVE_COMMAND "${MPI_LIBDIRS_CMDLINE}") + endif() + endif() + + # We need to remove potential quotes and convert the paths to CMake syntax while resolving them, too. + foreach(_MPI_LPATH IN LISTS MPI_ALL_LINK_PATHS) + string(REPLACE "\"" "" _MPI_LPATH "${_MPI_LPATH}") + get_filename_component(_MPI_LPATH "${_MPI_LPATH}" REALPATH) + list(APPEND MPI_LINK_DIRECTORIES_WORK "${_MPI_LPATH}") + endforeach() + + # Extract the set of libraries to link against from the link command line + # This only makes sense if CMAKE_LINK_LIBRARY_FLAG is defined, i.e. a -lxxxx syntax is supported by the compiler. + if(CMAKE_LINK_LIBRARY_FLAG) + string(REGEX MATCHALL "(^| )${CMAKE_LINK_LIBRARY_FLAG}([^\" ]+|\"[^\"]+\")" + MPI_LIBNAMES "${MPI_LINK_CMDLINE}") + + foreach(_MPI_LIB_NAME IN LISTS MPI_LIBNAMES) + string(REGEX REPLACE "^ ?${CMAKE_LINK_LIBRARY_FLAG}" "" _MPI_LIB_NAME "${_MPI_LIB_NAME}") + string(REPLACE "\"" "" _MPI_LIB_NAME "${_MPI_LIB_NAME}") + list(APPEND MPI_LIB_NAMES_WORK "${_MPI_LIB_NAME}") + endforeach() + endif() + + # Treat linker objects given by full path, for example static libraries, import libraries + # or shared libraries if there aren't any import libraries in use on the system. + # Note that we do not consider CMAKE__LIBRARY_PREFIX intentionally here: The linker will for a given file + # decide how to link it based on file type, not based on a prefix like 'lib'. + set(_MPI_LIB_SUFFIX_REGEX "${CMAKE_STATIC_LIBRARY_SUFFIX}") + if(DEFINED CMAKE_IMPORT_LIBRARY_SUFFIX) + if(NOT ("${CMAKE_IMPORT_LIBRARY_SUFFIX}" STREQUAL "${CMAKE_STATIC_LIBRARY_SUFFIX}")) + string(APPEND _MPI_SUFFIX_REGEX "|${CMAKE_IMPORT_LIBRARY_SUFFIX}") + endif() + else() + string(APPEND _MPI_LIB_SUFFIX_REGEX "|${CMAKE_SHARED_LIBRARY_SUFFIX}") + endif() + set(_MPI_LIB_NAME_REGEX "(([^\" ]+(${_MPI_LIB_SUFFIX_REGEX}))|(\"[^\"]+(${_MPI_LIB_SUFFIX_REGEX})\"))( +|$)") + string(REPLACE "." "\\." _MPI_LIB_NAME_REGEX "${_MPI_LIB_NAME_REGEX}") + + string(REGEX MATCHALL "${_MPI_LIB_NAME_REGEX}" MPI_LIBNAMES "${MPI_LINK_CMDLINE}") + foreach(_MPI_LIB_NAME IN LISTS MPI_LIBNAMES) + string(REGEX REPLACE "^ +\"?|\"? +$" "" _MPI_LIB_NAME "${_MPI_LIB_NAME}") + get_filename_component(_MPI_LIB_PATH "${_MPI_LIB_NAME}" DIRECTORY) + if(NOT "${_MPI_LIB_PATH}" STREQUAL "") + list(APPEND MPI_LIB_FULLPATHS_WORK "${_MPI_LIB_NAME}") + else() + list(APPEND MPI_LIB_NAMES_WORK "${_MPI_LIB_NAME}") + endif() + endforeach() + + # Save the explicitly given link directories + set(MPI_LINK_DIRECTORIES_LEFTOVER "${MPI_LINK_DIRECTORIES_WORK}") + + # An MPI compiler wrapper could have its MPI libraries in the implictly + # linked directories of the compiler itself. + if(DEFINED CMAKE_${LANG}_IMPLICIT_LINK_DIRECTORIES) + list(APPEND MPI_LINK_DIRECTORIES_WORK "${CMAKE_${LANG}_IMPLICIT_LINK_DIRECTORIES}") + endif() + + # Determine full path names for all of the libraries that one needs + # to link against in an MPI program + unset(MPI_PLAIN_LIB_NAMES_WORK) + foreach(_MPI_LIB_NAME IN LISTS MPI_LIB_NAMES_WORK) + get_filename_component(_MPI_PLAIN_LIB_NAME "${_MPI_LIB_NAME}" NAME_WE) + list(APPEND MPI_PLAIN_LIB_NAMES_WORK "${_MPI_PLAIN_LIB_NAME}") + find_library(MPI_${_MPI_PLAIN_LIB_NAME}_LIBRARY + NAMES "${_MPI_LIB_NAME}" "lib${_MPI_LIB_NAME}" + HINTS ${MPI_LINK_DIRECTORIES_WORK} + DOC "Location of the ${_MPI_PLAIN_LIB_NAME} library for MPI" + ) + mark_as_advanced(MPI_${_MPI_PLAIN_LIB_NAME}_LIBRARY) + # Remove the directory from the remainder list. + if(MPI_${_MPI_PLAIN_LIB_NAME}_LIBRARY) + get_filename_component(_MPI_TAKEN_DIRECTORY "${MPI_${_MPI_PLAIN_LIB_NAME}_LIBRARY}" DIRECTORY) + list(REMOVE_ITEM MPI_LINK_DIRECTORIES_LEFTOVER "${_MPI_TAKEN_DIRECTORY}") + endif() + endforeach() + + # Add the link directories given explicitly that we haven't used back as linker directories. + if(NOT WIN32) + foreach(_MPI_LINK_DIRECTORY IN LISTS MPI_LINK_DIRECTORIES_LEFTOVER) + file(TO_NATIVE_PATH "${_MPI_LINK_DIRECTORY}" _MPI_LINK_DIRECTORY_ACTUAL) + string(FIND "${_MPI_LINK_DIRECTORY_ACTUAL}" " " _MPI_LINK_DIRECTORY_CONTAINS_SPACE) + if(NOT _MPI_LINK_DIRECTORY_CONTAINS_SPACE EQUAL -1) + set(_MPI_LINK_DIRECTORY_ACTUAL "\"${_MPI_LINK_DIRECTORY_ACTUAL}\"") + endif() + if(MPI_LINK_FLAGS_WORK) + string(APPEND MPI_LINK_FLAGS_WORK " ${CMAKE_LIBRARY_PATH_FLAG}${_MPI_LINK_DIRECTORY_ACTUAL}") + else() + set(MPI_LINK_FLAGS_WORK "${CMAKE_LIBRARY_PATH_FLAG}${_MPI_LINK_DIRECTORY_ACTUAL}") + endif() + endforeach() + endif() + + # Deal with the libraries given with full path next + unset(MPI_DIRECT_LIB_NAMES_WORK) + foreach(_MPI_LIB_FULLPATH IN LISTS MPI_LIB_FULLPATHS_WORK) + get_filename_component(_MPI_PLAIN_LIB_NAME "${_MPI_LIB_FULLPATH}" NAME_WE) + list(APPEND MPI_DIRECT_LIB_NAMES_WORK "${_MPI_PLAIN_LIB_NAME}") + set(MPI_${_MPI_PLAIN_LIB_NAME}_LIBRARY "${_MPI_LIB_FULLPATH}" CACHE FILEPATH "Location of the ${_MPI_PLAIN_LIB_NAME} library for MPI") + mark_as_advanced(MPI_${_MPI_PLAIN_LIB_NAME}_LIBRARY) + endforeach() + # Directly linked objects should be linked first in case some generic linker flags are needed for them. + if(MPI_DIRECT_LIB_NAMES_WORK) + set(MPI_PLAIN_LIB_NAMES_WORK "${MPI_DIRECT_LIB_NAMES_WORK};${MPI_PLAIN_LIB_NAMES_WORK}") + endif() + + # MPI might require pthread to work. The above mechanism wouldn't detect it, but we need to + # link it in that case. -lpthread is covered by the normal library treatment on the other hand. + if("${MPI_COMPILE_CMDLINE}" MATCHES "-pthread") + list(APPEND MPI_COMPILE_OPTIONS_WORK "-pthread") + if(MPI_LINK_FLAGS_WORK) + string(APPEND MPI_LINK_FLAGS_WORK " -pthread") + else() + set(MPI_LINK_FLAGS_WORK "-pthread") + endif() + endif() + + if(MPI_${LANG}_EXTRA_COMPILE_DEFINITIONS) + list(APPEND MPI_COMPILE_DEFINITIONS_WORK "${MPI_${LANG}_EXTRA_COMPILE_DEFINITIONS}") + endif() + if(MPI_${LANG}_EXTRA_COMPILE_OPTIONS) + list(APPEND MPI_COMPILE_OPTIONS_WORK "${MPI_${LANG}_EXTRA_COMPILE_OPTIONS}") + endif() + if(MPI_${LANG}_EXTRA_LIB_NAMES) + list(APPEND MPI_PLAIN_LIB_NAMES_WORK "${MPI_${LANG}_EXTRA_LIB_NAMES}") + endif() + + # If we found MPI, set up all of the appropriate cache entries + if(NOT MPI_${LANG}_COMPILE_OPTIONS) + set(MPI_${LANG}_COMPILE_OPTIONS ${MPI_COMPILE_OPTIONS_WORK} CACHE STRING "MPI ${LANG} compilation options" FORCE) + endif() + if(NOT MPI_${LANG}_COMPILE_DEFINITIONS) + set(MPI_${LANG}_COMPILE_DEFINITIONS ${MPI_COMPILE_DEFINITIONS_WORK} CACHE STRING "MPI ${LANG} compilation definitions" FORCE) + endif() + if(NOT MPI_${LANG}_ADDITIONAL_INCLUDE_DIRS) + set(MPI_${LANG}_ADDITIONAL_INCLUDE_DIRS ${MPI_INCLUDE_DIRS_WORK} CACHE STRING "MPI ${LANG} additional include directories" FORCE) + endif() + if(NOT MPI_${LANG}_LINK_FLAGS) + set(MPI_${LANG}_LINK_FLAGS ${MPI_LINK_FLAGS_WORK} CACHE STRING "MPI ${LANG} linker flags" FORCE) + endif() + if(NOT MPI_${LANG}_LIB_NAMES) + set(MPI_${LANG}_LIB_NAMES ${MPI_PLAIN_LIB_NAMES_WORK} CACHE STRING "MPI ${LANG} libraries to link against" FORCE) + endif() + set(MPI_${LANG}_WRAPPER_FOUND TRUE PARENT_SCOPE) +endfunction() + +function(_MPI_guess_settings LANG) + set(MPI_GUESS_FOUND FALSE) + # Currently only MSMPI and MPICH2 on Windows are supported, so we can skip this search if we're not targeting that. + if(WIN32) + # MSMPI + + # The environment variables MSMPI_INC and MSMPILIB32/64 are the only ways of locating the MSMPI_SDK, + # which is installed separately from the runtime. Thus it's possible to have mpiexec but not MPI headers + # or import libraries and vice versa. + if(NOT MPI_GUESS_LIBRARY_NAME OR "${MPI_GUESS_LIBRARY_NAME}" STREQUAL "MSMPI") + # We first attempt to locate the msmpi.lib. Should be find it, we'll assume that the MPI present is indeed + # Microsoft MPI. + if("${CMAKE_SIZEOF_VOID_P}" EQUAL 8) + set(MPI_MSMPI_LIB_PATH "$ENV{MSMPI_LIB64}") + set(MPI_MSMPI_INC_PATH_EXTRA "$ENV{MSMPI_INC}/x64") + else() + set(MPI_MSMPI_LIB_PATH "$ENV{MSMPI_LIB32}") + set(MPI_MSMPI_INC_PATH_EXTRA "$ENV{MSMPI_INC}/x86") + endif() + + find_library(MPI_msmpi_LIBRARY + NAMES msmpi + HINTS ${MPI_MSMPI_LIB_PATH} + DOC "Location of the msmpi library for Microsoft MPI") + mark_as_advanced(MPI_msmpi_LIBRARY) + + if(MPI_msmpi_LIBRARY) + # Next, we attempt to locate the MPI header. Note that for Fortran we know that mpif.h is a way + # MSMPI can be used and therefore that header has to be present. + if(NOT MPI_${LANG}_ADDITIONAL_INCLUDE_DIRS) + get_filename_component(MPI_MSMPI_INC_DIR "$ENV{MSMPI_INC}" REALPATH) + set(MPI_${LANG}_ADDITIONAL_INCLUDE_DIRS "${MPI_MSMPI_INC_DIR}" CACHE STRING "MPI ${LANG} additional include directories" FORCE) + unset(MPI_MSMPI_INC_DIR) + endif() + + # For MSMPI, one can compile the MPI module by building the mpi.f90 shipped with the MSMPI SDK, + # thus it might be present or provided by the user. Figuring out which is supported is done later on. + # The PGI Fortran compiler for instance ships a prebuilt set of modules in its own include folder. + # Should a user be employing PGI or have built its own set and provided it via cache variables, the + # splitting routine would have located the module files. + + # For C and C++, we're done here (MSMPI does not ship the MPI-2 C++ bindings) - however, for Fortran + # we need some extra library to glue Fortran support together: + # MSMPI ships 2-4 Fortran libraries, each for different Fortran compiler behaviors. The library names + # ending with a c are using the cdecl calling convention, whereas those ending with an s are for Fortran + # implementations using stdcall. Therefore, the 64-bit MSMPI only ships those ending in 'c', whereas the 32-bit + # has both variants available. + # The second difference is the last but one letter, if it's an e(nd), the length of a string argument is + # passed by the Fortran compiler after all other arguments on the parameter list, if it's an m(ixed), + # it's passed immediately after the string address. + + # To summarize: + # - msmpifec: CHARACTER length passed after the parameter list and using cdecl calling convention + # - msmpifmc: CHARACTER length passed directly after string address and using cdecl calling convention + # - msmpifes: CHARACTER length passed after the parameter list and using stdcall calling convention + # - msmpifms: CHARACTER length passed directly after string address and using stdcall calling convention + # 32-bit MSMPI ships all four libraries, 64-bit MSMPI ships only the first two. + + # As is, Intel Fortran and PGI Fortran both use the 'ec' variant of the calling convention, whereas + # the old Compaq Visual Fortran compiler defaulted to the 'ms' version. It's possible to make Intel Fortran + # use the CVF calling convention using /iface:cvf, but we assume - and this is also assumed in FortranCInterface - + # this isn't the case. It's also possible to make CVF use the 'ec' variant, using /iface=(cref,nomixed_str_len_arg). + + # Our strategy is now to locate all libraries, but enter msmpifec into the LIB_NAMES array. + # Should this not be adequate it's a straightforward way for a user to change the LIB_NAMES array and + # have his library found. Still, this should not be necessary outside of exceptional cases, as reasoned. + if ("${LANG}" STREQUAL "Fortran") + set(MPI_MSMPI_CALLINGCONVS c) + if("${CMAKE_SIZEOF_VOID_P}" EQUAL 4) + list(APPEND MPI_MSMPI_CALLINGCONVS s) + endif() + foreach(mpistrlenpos IN ITEMS e m) + foreach(mpicallingconv IN LISTS MPI_MSMPI_CALLINGCONVS) + find_library(MPI_msmpif${mpistrlenpos}${mpicallingconv}_LIBRARY + NAMES msmpif${mpistrlenpos}${mpicallingconv} + HINTS "${MPI_MSMPI_LIB_PATH}" + DOC "Location of the msmpi${mpistrlenpos}${mpicallingconv} library for Microsoft MPI") + mark_as_advanced(MPI_msmpif${mpistrlenpos}${mpicallingconv}_LIBRARY) + endforeach() + endforeach() + if(NOT MPI_${LANG}_LIB_NAMES) + set(MPI_${LANG}_LIB_NAMES "msmpi;msmpifec" CACHE STRING "MPI ${LANG} libraries to link against" FORCE) + endif() + + # At this point we're *not* done. MSMPI requires an additional include file for Fortran giving the value + # of MPI_AINT. This file is called mpifptr.h located in the x64 and x86 subfolders, respectively. + find_path(MPI_mpifptr_INCLUDE_DIR + NAMES "mpifptr.h" + HINTS "${MPI_MSMPI_INC_PATH_EXTRA}" + DOC "Location of the mpifptr.h extra header for Microsoft MPI") + if(NOT MPI_${LANG}_ADDITIONAL_INCLUDE_VARS) + set(MPI_${LANG}_ADDITIONAL_INCLUDE_VARS "mpifptr" CACHE STRING "MPI ${LANG} additional include directory variables, given in the form MPI__INCLUDE_DIR." FORCE) + endif() + mark_as_advanced(MPI_${LANG}_ADDITIONAL_INCLUDE_VARS MPI_mpifptr_INCLUDE_DIR) + else() + if(NOT MPI_${LANG}_LIB_NAMES) + set(MPI_${LANG}_LIB_NAMES "msmpi" CACHE STRING "MPI ${LANG} libraries to link against" FORCE) + endif() + endif() + mark_as_advanced(MPI_${LANG}_LIB_NAMES) + set(MPI_GUESS_FOUND TRUE) + + if(_MPIEXEC_NOT_GIVEN) + unset(MPIEXEC_EXECUTABLE CACHE) + endif() + + find_program(MPIEXEC_EXECUTABLE + NAMES mpiexec + HINTS $ENV{MSMPI_BIN} "[HKEY_LOCAL_MACHINE\\SOFTWARE\\Microsoft\\MPI;InstallRoot]/Bin" + DOC "Executable for running MPI programs.") + endif() + endif() + + # At this point there's not many MPIs that we could still consider. + # OpenMPI 1.6.x and below supported Windows, but these ship compiler wrappers that still work. + # The only other relevant MPI implementation without a wrapper is MPICH2, which had Windows support in 1.4.1p1 and older. + if(NOT MPI_GUESS_FOUND AND (NOT MPI_GUESS_LIBRARY_NAME OR "${MPI_GUESS_LIBRARY_NAME}" STREQUAL "MPICH2")) + set(MPI_MPICH_PREFIX_PATHS + "$ENV{ProgramW6432}/MPICH2/lib" + "[HKEY_LOCAL_MACHINE\\SOFTWARE\\MPICH\\SMPD;binary]/../lib" + "[HKEY_LOCAL_MACHINE\\SOFTWARE\\MPICH2;Path]/lib" + ) + + # All of C, C++ and Fortran will need mpi.lib, so we'll look for this first + find_library(MPI_mpi_LIBRARY + NAMES mpi + HINTS ${MPI_MPICH_PREFIX_PATHS}) + mark_as_advanced(MPI_mpi_LIBRARY) + # If we found mpi.lib, we detect the rest of MPICH2 + if(MPI_mpi_LIBRARY) + set(MPI_MPICH_LIB_NAMES "mpi") + # If MPI-2 C++ bindings are requested, we need to locate cxx.lib as well. + # Otherwise, MPICH_SKIP_MPICXX will be defined and these bindings aren't needed. + if("${LANG}" STREQUAL "CXX" AND NOT MPI_CXX_SKIP_MPICXX) + find_library(MPI_cxx_LIBRARY + NAMES cxx + HINTS ${MPI_MPICH_PREFIX_PATHS}) + mark_as_advanced(MPI_cxx_LIBRARY) + list(APPEND MPI_MPICH_LIB_NAMES "cxx") + # For Fortran, MPICH2 provides three different libraries: + # fmpich2.lib which uses uppercase symbols and cdecl, + # fmpich2s.lib which uses uppercase symbols and stdcall (32-bit only), + # fmpich2g.lib which uses lowercase symbols with double underscores and cdecl. + # fmpich2s.lib would be useful for Compaq Visual Fortran, fmpich2g.lib has to be used with GNU g77 and is also + # provided in the form of an .a archive for MinGW and Cygwin. From our perspective, fmpich2.lib is the only one + # we need to try, and if it doesn't work with the given Fortran compiler we'd find out later on during validation + elseif("${LANG}" STREQUAL "Fortran") + find_library(MPI_fmpich2_LIBRARY + NAMES fmpich2 + HINTS ${MPI_MPICH_PREFIX_PATHS}) + find_library(MPI_fmpich2s_LIBRARY + NAMES fmpich2s + HINTS ${MPI_MPICH_PREFIX_PATHS}) + find_library(MPI_fmpich2g_LIBRARY + NAMES fmpich2g + HINTS ${MPI_MPICH_PREFIX_PATHS}) + mark_as_advanced(MPI_fmpich2_LIBRARY MPI_fmpich2s_LIBRARY MPI_fmpich2g_LIBRARY) + list(APPEND MPI_MPICH_LIB_NAMES "fmpich2") + endif() + + if(NOT MPI_${LANG}_LIB_NAMES) + set(MPI_${LANG}_LIB_NAMES "${MPI_MPICH_LIB_NAMES}" CACHE STRING "MPI ${LANG} libraries to link against" FORCE) + endif() + unset(MPI_MPICH_LIB_NAMES) + + if(NOT MPI_${LANG}_ADDITIONAL_INCLUDE_DIRS) + # For MPICH2, the include folder would be in ../include relative to the library folder. + get_filename_component(MPI_MPICH_ROOT_DIR "${MPI_mpi_LIBRARY}" DIRECTORY) + get_filename_component(MPI_MPICH_ROOT_DIR "${MPI_MPICH_ROOT_DIR}" DIRECTORY) + if(IS_DIRECTORY "${MPI_MPICH_ROOT_DIR}/include") + set(MPI_${LANG}_ADDITIONAL_INCLUDE_DIRS "${MPI_MPICH_ROOT_DIR}/include" CACHE STRING "MPI ${LANG} additional include directory variables, given in the form MPI__INCLUDE_DIR." FORCE) + endif() + unset(MPI_MPICH_ROOT_DIR) + endif() + set(MPI_GUESS_FOUND TRUE) + + if(_MPIEXEC_NOT_GIVEN) + unset(MPIEXEC_EXECUTABLE CACHE) + endif() + + find_program(MPIEXEC_EXECUTABLE + NAMES ${_MPIEXEC_NAMES} + HINTS "$ENV{ProgramW6432}/MPICH2/bin" + "[HKEY_LOCAL_MACHINE\\SOFTWARE\\MPICH\\SMPD;binary]" + "[HKEY_LOCAL_MACHINE\\SOFTWARE\\MPICH2;Path]/bin" + DOC "Executable for running MPI programs.") + endif() + unset(MPI_MPICH_PREFIX_PATHS) + endif() + endif() + set(MPI_${LANG}_GUESS_FOUND "${MPI_GUESS_FOUND}" PARENT_SCOPE) +endfunction() + +function(_MPI_adjust_compile_definitions LANG) + if("${LANG}" STREQUAL "CXX") + # To disable the C++ bindings, we need to pass some definitions since the mpi.h header has to deal with both C and C++ + # bindings in MPI-2. + if(MPI_CXX_SKIP_MPICXX AND NOT MPI_${LANG}_COMPILE_DEFINITIONS MATCHES "SKIP_MPICXX") + # MPICH_SKIP_MPICXX is being used in MPICH and derivatives like MVAPICH or Intel MPI + # OMPI_SKIP_MPICXX is being used in Open MPI + # _MPICC_H is being used for IBM Platform MPI + list(APPEND MPI_${LANG}_COMPILE_DEFINITIONS "MPICH_SKIP_MPICXX" "OMPI_SKIP_MPICXX" "_MPICC_H") + set(MPI_${LANG}_COMPILE_DEFINITIONS "${MPI_${LANG}_COMPILE_DEFINITIONS}" CACHE STRING "MPI ${LANG} compilation definitions" FORCE) + endif() + endif() +endfunction() + +macro(_MPI_assemble_libraries LANG) + set(MPI_${LANG}_LIBRARIES "") + # Only for libraries do we need to check whether the compiler's linking stage is separate. + if(NOT "${MPI_${LANG}_COMPILER}" STREQUAL "${CMAKE_${LANG}_COMPILER}" OR NOT MPI_${LANG}_WORKS_IMPLICIT) + foreach(mpilib IN LISTS MPI_${LANG}_LIB_NAMES) + list(APPEND MPI_${LANG}_LIBRARIES ${MPI_${mpilib}_LIBRARY}) + endforeach() + endif() +endmacro() + +macro(_MPI_assemble_include_dirs LANG) + if("${MPI_${LANG}_COMPILER}" STREQUAL "${CMAKE_${LANG}_COMPILER}") + set(MPI_${LANG}_INCLUDE_DIRS "") + else() + set(MPI_${LANG}_INCLUDE_DIRS "${MPI_${LANG}_ADDITIONAL_INCLUDE_DIRS}") + if("${LANG}" MATCHES "(C|CXX)") + if(MPI_${LANG}_HEADER_DIR) + list(APPEND MPI_${LANG}_INCLUDE_DIRS "${MPI_${LANG}_HEADER_DIR}") + endif() + else() # Fortran + if(MPI_${LANG}_F77_HEADER_DIR) + list(APPEND MPI_${LANG}_INCLUDE_DIRS "${MPI_${LANG}_F77_HEADER_DIR}") + endif() + if(MPI_${LANG}_MODULE_DIR AND NOT "${MPI_${LANG}_MODULE_DIR}" IN_LIST MPI_${LANG}_INCLUDE_DIRS) + list(APPEND MPI_${LANG}_INCLUDE_DIRS "${MPI_${LANG}_MODULE_DIR}") + endif() + endif() + if(MPI_${LANG}_ADDITIONAL_INCLUDE_VARS) + foreach(MPI_ADDITIONAL_INC_DIR IN LISTS MPI_${LANG}_ADDITIONAL_INCLUDE_VARS) + list(APPEND MPI_${LANG}_INCLUDE_DIRS "${MPI_${MPI_ADDITIONAL_INC_DIR}_INCLUDE_DIR}") + endforeach() + endif() + endif() +endmacro() + +function(_MPI_split_include_dirs LANG) + if("${MPI_${LANG}_COMPILER}" STREQUAL "${CMAKE_${LANG}_COMPILER}") + return() + endif() + # Backwards compatibility: Search INCLUDE_PATH if given. + if(MPI_${LANG}_INCLUDE_PATH) + list(APPEND MPI_${LANG}_ADDITIONAL_INCLUDE_DIRS "${MPI_${LANG}_INCLUDE_PATH}") + endif() + + # We try to find the headers/modules among those paths (and system paths) + # For C/C++, we just need to have a look for mpi.h. + if("${LANG}" MATCHES "(C|CXX)") + find_path(MPI_${LANG}_HEADER_DIR "mpi.h" + HINTS ${MPI_${LANG}_ADDITIONAL_INCLUDE_DIRS} + ) + mark_as_advanced(MPI_${LANG}_HEADER_DIR) + if(MPI_${LANG}_ADDITIONAL_INCLUDE_DIRS) + list(REMOVE_ITEM MPI_${LANG}_ADDITIONAL_INCLUDE_DIRS "${MPI_${LANG}_HEADER_DIR}") + endif() + # Fortran is more complicated here: An implementation could provide + # any of the Fortran 77/90/2008 APIs for MPI. For example, MSMPI + # only provides Fortran 77 and - if mpi.f90 is built - potentially + # a Fortran 90 module. + elseif("${LANG}" STREQUAL "Fortran") + find_path(MPI_${LANG}_F77_HEADER_DIR "mpif.h" + HINTS ${MPI_${LANG}_ADDITIONAL_INCLUDE_DIRS} + ) + find_path(MPI_${LANG}_MODULE_DIR + NAMES "mpi.mod" "mpi_f08.mod" + HINTS ${MPI_${LANG}_ADDITIONAL_INCLUDE_DIRS} + ) + if(MPI_${LANG}_ADDITIONAL_INCLUDE_DIRS) + list(REMOVE_ITEM MPI_${LANG}_ADDITIONAL_INCLUDE_DIRS + "${MPI_${LANG}_F77_HEADER_DIR}" + "${MPI_${LANG}_MODULE_DIR}" + ) + endif() + mark_as_advanced(MPI_${LANG}_F77_HEADER_DIR MPI_${LANG}_MODULE_DIR) + endif() + # Remove duplicates and default system directories from the list. + if(MPI_${LANG}_ADDITIONAL_INCLUDE_DIRS) + list(REMOVE_DUPLICATES MPI_${LANG}_ADDITIONAL_INCLUDE_DIRS) + foreach(MPI_IMPLICIT_INC_DIR IN LISTS CMAKE_${LANG}_IMPLICIT_LINK_DIRECTORIES) + list(REMOVE_ITEM MPI_${LANG}_ADDITIONAL_INCLUDE_DIRS ${MPI_IMPLICIT_INC_DIR}) + endforeach() + endif() + set(MPI_${LANG}_ADDITIONAL_INCLUDE_DIRS ${MPI_${LANG}_ADDITIONAL_INCLUDE_DIRS} CACHE STRING "MPI ${LANG} additional include directories" FORCE) +endfunction() + +macro(_MPI_create_imported_target LANG) + if(NOT TARGET MPI::MPI_${LANG}) + add_library(MPI::MPI_${LANG} INTERFACE IMPORTED) + endif() + + # When this is consumed for compiling CUDA, use '-Xcompiler' to wrap '-pthread'. + string(REPLACE "-pthread" "$<$:SHELL:-Xcompiler >-pthread" + _MPI_${LANG}_COMPILE_OPTIONS "${MPI_${LANG}_COMPILE_OPTIONS}") + set_property(TARGET MPI::MPI_${LANG} PROPERTY INTERFACE_COMPILE_OPTIONS "${_MPI_${LANG}_COMPILE_OPTIONS}") + unset(_MPI_${LANG}_COMPILE_OPTIONS) + + set_property(TARGET MPI::MPI_${LANG} PROPERTY INTERFACE_COMPILE_DEFINITIONS "${MPI_${LANG}_COMPILE_DEFINITIONS}") + + if(MPI_${LANG}_LINK_FLAGS) + set_property(TARGET MPI::MPI_${LANG} PROPERTY INTERFACE_LINK_OPTIONS "SHELL:${MPI_${LANG}_LINK_FLAGS}") + endif() + # If the compiler links MPI implicitly, no libraries will be found as they're contained within + # CMAKE__IMPLICIT_LINK_LIBRARIES already. + if(MPI_${LANG}_LIBRARIES) + set_property(TARGET MPI::MPI_${LANG} PROPERTY INTERFACE_LINK_LIBRARIES "${MPI_${LANG}_LIBRARIES}") + endif() + # Given the new design of FindMPI, INCLUDE_DIRS will always be located, even under implicit linking. + set_property(TARGET MPI::MPI_${LANG} PROPERTY INTERFACE_INCLUDE_DIRECTORIES "${MPI_${LANG}_INCLUDE_DIRS}") +endmacro() + +function(_MPI_try_staged_settings LANG MPI_TEST_FILE_NAME MODE RUN_BINARY SUPPRESS_ERRORS) + set(WORK_DIR "${CMAKE_BINARY_DIR}${CMAKE_FILES_DIRECTORY}/FindMPI") + set(SRC_DIR "${CMAKE_ROOT}/Modules/FindMPI") + set(BIN_FILE "${CMAKE_BINARY_DIR}${CMAKE_FILES_DIRECTORY}/FindMPI/${MPI_TEST_FILE_NAME}_${LANG}.bin") + unset(MPI_TEST_COMPILE_DEFINITIONS) + if("${LANG}" STREQUAL "Fortran") + if("${MODE}" STREQUAL "F90_MODULE") + set(MPI_Fortran_INCLUDE_LINE "use mpi\n implicit none") + elseif("${MODE}" STREQUAL "F08_MODULE") + set(MPI_Fortran_INCLUDE_LINE "use mpi_f08\n implicit none") + else() # F77 header + set(MPI_Fortran_INCLUDE_LINE "implicit none\n include 'mpif.h'") + endif() + configure_file("${SRC_DIR}/${MPI_TEST_FILE_NAME}.f90.in" "${WORK_DIR}/${MPI_TEST_FILE_NAME}.f90" @ONLY) + set(MPI_TEST_SOURCE_FILE "${WORK_DIR}/${MPI_TEST_FILE_NAME}.f90") + elseif("${LANG}" STREQUAL "CXX") + configure_file("${SRC_DIR}/${MPI_TEST_FILE_NAME}.c" "${WORK_DIR}/${MPI_TEST_FILE_NAME}.cpp" COPYONLY) + set(MPI_TEST_SOURCE_FILE "${WORK_DIR}/${MPI_TEST_FILE_NAME}.cpp") + if("${MODE}" STREQUAL "TEST_MPICXX") + set(MPI_TEST_COMPILE_DEFINITIONS TEST_MPI_MPICXX) + endif() + else() # C + set(MPI_TEST_SOURCE_FILE "${SRC_DIR}/${MPI_TEST_FILE_NAME}.c") + endif() + if(RUN_BINARY) + try_run(MPI_RUN_RESULT_${LANG}_${MPI_TEST_FILE_NAME}_${MODE} MPI_RESULT_${LANG}_${MPI_TEST_FILE_NAME}_${MODE} + "${CMAKE_BINARY_DIR}" SOURCES "${MPI_TEST_SOURCE_FILE}" + COMPILE_DEFINITIONS ${MPI_TEST_COMPILE_DEFINITIONS} + LINK_LIBRARIES MPI::MPI_${LANG} + RUN_OUTPUT_VARIABLE MPI_RUN_OUTPUT_${LANG}_${MPI_TEST_FILE_NAME}_${MODE} + COMPILE_OUTPUT_VARIABLE _MPI_TRY_${MPI_TEST_FILE_NAME}_${MODE}_OUTPUT) + set(MPI_RUN_OUTPUT_${LANG}_${MPI_TEST_FILE_NAME}_${MODE} "${MPI_RUN_OUTPUT_${LANG}_${MPI_TEST_FILE_NAME}_${MODE}}" PARENT_SCOPE) + else() + try_compile(MPI_RESULT_${LANG}_${MPI_TEST_FILE_NAME}_${MODE} + "${CMAKE_BINARY_DIR}" SOURCES "${MPI_TEST_SOURCE_FILE}" + COMPILE_DEFINITIONS ${MPI_TEST_COMPILE_DEFINITIONS} + LINK_LIBRARIES MPI::MPI_${LANG} + COPY_FILE "${BIN_FILE}" + OUTPUT_VARIABLE _MPI_TRY_${MPI_TEST_FILE_NAME}_${MODE}_OUTPUT) + endif() + if(NOT SUPPRESS_ERRORS) + if(NOT MPI_RESULT_${LANG}_${MPI_TEST_FILE_NAME}_${MODE}) + file(APPEND ${CMAKE_BINARY_DIR}${CMAKE_FILES_DIRECTORY}/CMakeError.log + "The MPI test ${MPI_TEST_FILE_NAME} for ${LANG} in mode ${MODE} failed to compile with the following output:\n${_MPI_TRY_${MPI_TEST_FILE_NAME}_${MODE}_OUTPUT}\n\n") + elseif(DEFINED MPI_RUN_RESULT_${LANG}_${MPI_TEST_FILE_NAME}_${MODE} AND MPI_RUN_RESULT_${LANG}_${MPI_TEST_FILE_NAME}_${MODE}) + file(APPEND ${CMAKE_BINARY_DIR}${CMAKE_FILES_DIRECTORY}/CMakeError.log + "The MPI test ${MPI_TEST_FILE_NAME} for ${LANG} in mode ${MODE} failed to run with the following output:\n${MPI_RUN_OUTPUT_${LANG}_${MPI_TEST_FILE_NAME}_${MODE}}\n\n") + endif() + endif() +endfunction() + +macro(_MPI_check_lang_works LANG SUPPRESS_ERRORS) + # For Fortran we may have by the MPI-3 standard an implementation that provides: + # - the mpi_f08 module + # - *both*, the mpi module and 'mpif.h' + # Since older MPI standards (MPI-1) did not define anything but 'mpif.h', we need to check all three individually. + if( NOT MPI_${LANG}_WORKS ) + if("${LANG}" STREQUAL "Fortran") + set(MPI_Fortran_INTEGER_LINE "(kind=MPI_INTEGER_KIND)") + _MPI_try_staged_settings(${LANG} test_mpi F77_HEADER FALSE ${SUPPRESS_ERRORS}) + _MPI_try_staged_settings(${LANG} test_mpi F90_MODULE FALSE ${SUPPRESS_ERRORS}) + _MPI_try_staged_settings(${LANG} test_mpi F08_MODULE FALSE ${SUPPRESS_ERRORS}) + + set(MPI_${LANG}_WORKS FALSE) + + foreach(mpimethod IN ITEMS F77_HEADER F08_MODULE F90_MODULE) + if(MPI_RESULT_${LANG}_test_mpi_${mpimethod}) + set(MPI_${LANG}_WORKS TRUE) + set(MPI_${LANG}_HAVE_${mpimethod} TRUE) + else() + set(MPI_${LANG}_HAVE_${mpimethod} FALSE) + endif() + endforeach() + # MPI-1 versions had no MPI_INTGER_KIND defined, so we need to try without it. + # However, MPI-1 also did not define the Fortran 90 and 08 modules, so we only try the F77 header. + unset(MPI_Fortran_INTEGER_LINE) + if(NOT MPI_${LANG}_WORKS) + _MPI_try_staged_settings(${LANG} test_mpi F77_HEADER_NOKIND FALSE ${SUPPRESS_ERRORS}) + if(MPI_RESULT_${LANG}_test_mpi_F77_HEADER_NOKIND) + set(MPI_${LANG}_WORKS TRUE) + set(MPI_${LANG}_HAVE_F77_HEADER TRUE) + endif() + endif() + else() + _MPI_try_staged_settings(${LANG} test_mpi normal FALSE ${SUPPRESS_ERRORS}) + # If 'test_mpi' built correctly, we've found valid MPI settings. There might not be MPI-2 C++ support, but there can't + # be MPI-2 C++ support without the C bindings being present, so checking for them is sufficient. + set(MPI_${LANG}_WORKS "${MPI_RESULT_${LANG}_test_mpi_normal}") + endif() + endif() +endmacro() + +# Some systems install various MPI implementations in separate folders in some MPI prefix +# This macro enumerates all such subfolders and adds them to the list of hints that will be searched. +macro(MPI_search_mpi_prefix_folder PREFIX_FOLDER) + if(EXISTS "${PREFIX_FOLDER}") + file(GLOB _MPI_folder_children RELATIVE "${PREFIX_FOLDER}" "${PREFIX_FOLDER}/*") + foreach(_MPI_folder_child IN LISTS _MPI_folder_children) + if(IS_DIRECTORY "${PREFIX_FOLDER}/${_MPI_folder_child}") + list(APPEND MPI_HINT_DIRS "${PREFIX_FOLDER}/${_MPI_folder_child}") + endif() + endforeach() + endif() +endmacro() + +set(MPI_HINT_DIRS ${MPI_HOME} $ENV{MPI_HOME} $ENV{I_MPI_ROOT}) +if("${CMAKE_HOST_SYSTEM_NAME}" STREQUAL "Linux") + # SUSE Linux Enterprise Server stores its MPI implementations under /usr/lib64/mpi/gcc/ + # We enumerate the subfolders and append each as a prefix + MPI_search_mpi_prefix_folder("/usr/lib64/mpi/gcc") +elseif("${CMAKE_HOST_SYSTEM_NAME}" STREQUAL "FreeBSD") + # FreeBSD ships mpich under the normal system paths - but available openmpi implementations + # will be found in /usr/local/mpi/ + MPI_search_mpi_prefix_folder("/usr/local/mpi") +endif() + +# Most MPI distributions have some form of mpiexec or mpirun which gives us something we can look for. +# The MPI standard does not mandate the existence of either, but instead only makes requirements if a distribution +# ships an mpiexec program (mpirun executables are not regulated by the standard). + +# We defer searching for mpiexec binaries belonging to guesses until later. By doing so, mismatches between mpiexec +# and the MPI we found should be reduced. +if(NOT MPIEXEC_EXECUTABLE) + set(_MPIEXEC_NOT_GIVEN TRUE) +else() + set(_MPIEXEC_NOT_GIVEN FALSE) +endif() + +find_program(MPIEXEC_EXECUTABLE + NAMES ${_MPIEXEC_NAMES} + PATH_SUFFIXES bin sbin + HINTS ${MPI_HINT_DIRS} + DOC "Executable for running MPI programs.") + +# call get_filename_component twice to remove mpiexec and the directory it exists in (typically bin). +# This gives us a fairly reliable base directory to search for /bin /lib and /include from. +get_filename_component(_MPI_BASE_DIR "${MPIEXEC_EXECUTABLE}" PATH) +get_filename_component(_MPI_BASE_DIR "${_MPI_BASE_DIR}" PATH) + +# According to the MPI standard, section 8.8 -n is a guaranteed, and the only guaranteed way to +# launch an MPI process using mpiexec if such a program exists. +set(MPIEXEC_NUMPROC_FLAG "-n" CACHE STRING "Flag used by MPI to specify the number of processes for mpiexec; the next option will be the number of processes.") +set(MPIEXEC_PREFLAGS "" CACHE STRING "These flags will be directly before the executable that is being run by mpiexec.") +set(MPIEXEC_POSTFLAGS "" CACHE STRING "These flags will be placed after all flags passed to mpiexec.") + +# Set the number of processes to the physical processor count +cmake_host_system_information(RESULT _MPIEXEC_NUMPROCS QUERY NUMBER_OF_PHYSICAL_CORES) +set(MPIEXEC_MAX_NUMPROCS "${_MPIEXEC_NUMPROCS}" CACHE STRING "Maximum number of processors available to run MPI applications.") +unset(_MPIEXEC_NUMPROCS) +mark_as_advanced(MPIEXEC_EXECUTABLE MPIEXEC_NUMPROC_FLAG MPIEXEC_PREFLAGS MPIEXEC_POSTFLAGS MPIEXEC_MAX_NUMPROCS) + +#============================================================================= +# Backward compatibility input hacks. Propagate the FindMPI hints to C and +# CXX if the respective new versions are not defined. Translate the old +# MPI_LIBRARY and MPI_EXTRA_LIBRARY to respective MPI_${LANG}_LIBRARIES. +# +# Once we find the new variables, we translate them back into their old +# equivalents below. +if(NOT MPI_IGNORE_LEGACY_VARIABLES) + foreach (LANG IN ITEMS C CXX) + # Old input variables. + set(_MPI_OLD_INPUT_VARS COMPILER COMPILE_FLAGS INCLUDE_PATH LINK_FLAGS) + + # Set new vars based on their old equivalents, if the new versions are not already set. + foreach (var ${_MPI_OLD_INPUT_VARS}) + if (NOT MPI_${LANG}_${var} AND MPI_${var}) + set(MPI_${LANG}_${var} "${MPI_${var}}") + endif() + endforeach() + + # Chop the old compile flags into options and definitions + + unset(MPI_${LANG}_EXTRA_COMPILE_DEFINITIONS) + unset(MPI_${LANG}_EXTRA_COMPILE_OPTIONS) + if(MPI_${LANG}_COMPILE_FLAGS) + separate_arguments(MPI_SEPARATE_FLAGS NATIVE_COMMAND "${MPI_${LANG}_COMPILE_FLAGS}") + foreach(_MPI_FLAG IN LISTS MPI_SEPARATE_FLAGS) + if("${_MPI_FLAG}" MATCHES "^ *-D([^ ]+)") + list(APPEND MPI_${LANG}_EXTRA_COMPILE_DEFINITIONS "${CMAKE_MATCH_1}") + else() + list(APPEND MPI_${LANG}_EXTRA_COMPILE_OPTIONS "${_MPI_FLAG}") + endif() + endforeach() + unset(MPI_SEPARATE_FLAGS) + endif() + + # If a list of libraries was given, we'll split it into new-style cache variables + unset(MPI_${LANG}_EXTRA_LIB_NAMES) + if(NOT MPI_${LANG}_LIB_NAMES) + foreach(_MPI_LIB IN LISTS MPI_${LANG}_LIBRARIES MPI_LIBRARY MPI_EXTRA_LIBRARY) + if(_MPI_LIB) + get_filename_component(_MPI_PLAIN_LIB_NAME "${_MPI_LIB}" NAME_WE) + get_filename_component(_MPI_LIB_NAME "${_MPI_LIB}" NAME) + get_filename_component(_MPI_LIB_DIR "${_MPI_LIB}" DIRECTORY) + list(APPEND MPI_${LANG}_EXTRA_LIB_NAMES "${_MPI_PLAIN_LIB_NAME}") + find_library(MPI_${_MPI_PLAIN_LIB_NAME}_LIBRARY + NAMES "${_MPI_LIB_NAME}" "lib${_MPI_LIB_NAME}" + HINTS ${_MPI_LIB_DIR} $ENV{MPI_LIB} + DOC "Location of the ${_MPI_PLAIN_LIB_NAME} library for MPI" + ) + mark_as_advanced(MPI_${_MPI_PLAIN_LIB_NAME}_LIBRARY) + endif() + endforeach() + endif() + endforeach() +endif() +#============================================================================= + +unset(MPI_VERSION) +unset(MPI_VERSION_MAJOR) +unset(MPI_VERSION_MINOR) + +unset(_MPI_MIN_VERSION) + +# If the user specified a library name we assume they prefer that library over a wrapper. If not, they can disable skipping manually. +if(NOT DEFINED MPI_SKIP_COMPILER_WRAPPER AND MPI_GUESS_LIBRARY_NAME) + set(MPI_SKIP_COMPILER_WRAPPER TRUE) +endif() + +# This loop finds the compilers and sends them off for interrogation. +foreach(LANG IN ITEMS C CXX Fortran) + if(CMAKE_${LANG}_COMPILER_LOADED) + if(NOT MPI_FIND_COMPONENTS) + set(_MPI_FIND_${LANG} TRUE) + elseif( ${LANG} IN_LIST MPI_FIND_COMPONENTS) + set(_MPI_FIND_${LANG} TRUE) + elseif( ${LANG} STREQUAL CXX AND NOT MPI_CXX_SKIP_MPICXX AND MPICXX IN_LIST MPI_FIND_COMPONENTS ) + set(_MPI_FIND_${LANG} TRUE) + else() + set(_MPI_FIND_${LANG} FALSE) + endif() + else() + set(_MPI_FIND_${LANG} FALSE) + endif() + if(_MPI_FIND_${LANG}) + if( ${LANG} STREQUAL CXX AND NOT MPICXX IN_LIST MPI_FIND_COMPONENTS ) + set(MPI_CXX_SKIP_MPICXX FALSE CACHE BOOL "If true, the MPI-2 C++ bindings are disabled using definitions.") + mark_as_advanced(MPI_CXX_SKIP_MPICXX) + endif() + if(NOT (MPI_${LANG}_LIB_NAMES AND (MPI_${LANG}_INCLUDE_PATH OR MPI_${LANG}_INCLUDE_DIRS OR MPI_${LANG}_ADDITIONAL_INCLUDE_DIRS))) + set(MPI_${LANG}_TRIED_IMPLICIT FALSE) + set(MPI_${LANG}_WORKS_IMPLICIT FALSE) + if(NOT MPI_${LANG}_COMPILER AND NOT MPI_ASSUME_NO_BUILTIN_MPI) + # Should the imported targets be empty, we effectively try whether the compiler supports MPI on its own, which is the case on e.g. + # Cray PrgEnv. + _MPI_create_imported_target(${LANG}) + _MPI_check_lang_works(${LANG} TRUE) + + # If the compiler can build MPI code on its own, it functions as an MPI compiler and we'll set the variable to point to it. + if(MPI_${LANG}_WORKS) + set(MPI_${LANG}_COMPILER "${CMAKE_${LANG}_COMPILER}" CACHE FILEPATH "MPI compiler for ${LANG}" FORCE) + set(MPI_${LANG}_WORKS_IMPLICIT TRUE) + endif() + set(MPI_${LANG}_TRIED_IMPLICIT TRUE) + endif() + + if(NOT "${MPI_${LANG}_COMPILER}" STREQUAL "${CMAKE_${LANG}_COMPILER}" OR NOT MPI_${LANG}_WORKS) + set(MPI_${LANG}_WRAPPER_FOUND FALSE) + set(MPI_PINNED_COMPILER FALSE) + + if(NOT MPI_SKIP_COMPILER_WRAPPER) + if(MPI_${LANG}_COMPILER) + # If the user supplies a compiler *name* instead of an absolute path, assume that we need to find THAT compiler. + if (NOT IS_ABSOLUTE "${MPI_${LANG}_COMPILER}") + # Get rid of our default list of names and just search for the name the user wants. + set(_MPI_${LANG}_COMPILER_NAMES "${MPI_${LANG}_COMPILER}") + unset(MPI_${LANG}_COMPILER CACHE) + endif() + # If the user specifies a compiler, we don't want to try to search libraries either. + set(MPI_PINNED_COMPILER TRUE) + endif() + + # If we have an MPI base directory, we'll try all compiler names in that one first. + # This should prevent mixing different MPI environments + if(_MPI_BASE_DIR) + find_program(MPI_${LANG}_COMPILER + NAMES ${_MPI_${LANG}_COMPILER_NAMES} + PATH_SUFFIXES bin sbin + HINTS ${_MPI_BASE_DIR} + NO_DEFAULT_PATH + DOC "MPI compiler for ${LANG}" + ) + endif() + + # If the base directory did not help (for example because the mpiexec isn't in the same directory as the compilers), + # we shall try searching in the default paths. + find_program(MPI_${LANG}_COMPILER + NAMES ${_MPI_${LANG}_COMPILER_NAMES} + PATH_SUFFIXES bin sbin + DOC "MPI compiler for ${LANG}" + ) + + if("${MPI_${LANG}_COMPILER}" STREQUAL "${CMAKE_${LANG}_COMPILER}") + set(MPI_PINNED_COMPILER TRUE) + + # If we haven't made the implicit compiler test yet, perform it now. + if(NOT MPI_${LANG}_TRIED_IMPLICIT) + _MPI_create_imported_target(${LANG}) + _MPI_check_lang_works(${LANG} TRUE) + endif() + + # Should the MPI compiler not work implicitly for MPI, still interrogate it. + # Otherwise, MPI compilers for which CMake has separate linking stages, e.g. Intel MPI on Windows where link.exe is being used + # directly during linkage instead of CMAKE__COMPILER will not work. + if(NOT MPI_${LANG}_WORKS) + set(MPI_${LANG}_WORKS_IMPLICIT FALSE) + _MPI_interrogate_compiler(${LANG}) + else() + set(MPI_${LANG}_WORKS_IMPLICIT TRUE) + endif() + elseif(MPI_${LANG}_COMPILER) + _MPI_interrogate_compiler(${LANG}) + endif() + endif() + + if(NOT MPI_PINNED_COMPILER AND NOT MPI_${LANG}_WRAPPER_FOUND) + # If MPI_PINNED_COMPILER wasn't given, and the MPI compiler we potentially found didn't work, we withdraw it. + set(MPI_${LANG}_COMPILER "MPI_${LANG}_COMPILER-NOTFOUND" CACHE FILEPATH "MPI compiler for ${LANG}" FORCE) + if(NOT MPI_SKIP_GUESSING) + # For C++, we may use the settings for C. Should a given compiler wrapper for C++ not exist, but one for C does, we copy over the + # settings for C. An MPI distribution that is in this situation would be IBM Platform MPI. + if("${LANG}" STREQUAL "CXX" AND MPI_C_WRAPPER_FOUND) + set(MPI_${LANG}_COMPILE_OPTIONS ${MPI_C_COMPILE_OPTIONS} CACHE STRING "MPI ${LANG} compilation options" ) + set(MPI_${LANG}_COMPILE_DEFINITIONS ${MPI_C_COMPILE_DEFINITIONS} CACHE STRING "MPI ${LANG} compilation definitions" ) + set(MPI_${LANG}_ADDITIONAL_INCLUDE_DIRS ${MPI_C_INCLUDE_DIRS} CACHE STRING "MPI ${LANG} additional include directories") + set(MPI_${LANG}_LINK_FLAGS ${MPI_C_LINK_FLAGS} CACHE STRING "MPI ${LANG} linker flags" ) + set(MPI_${LANG}_LIB_NAMES ${MPI_C_LIB_NAMES} CACHE STRING "MPI ${LANG} libraries to link against" ) + else() + _MPI_guess_settings(${LANG}) + endif() + endif() + endif() + endif() + endif() + + _MPI_split_include_dirs(${LANG}) + _MPI_assemble_include_dirs(${LANG}) + _MPI_assemble_libraries(${LANG}) + + _MPI_adjust_compile_definitions(${LANG}) + # We always create imported targets even if they're empty + _MPI_create_imported_target(${LANG}) + + if(NOT MPI_${LANG}_WORKS) + _MPI_check_lang_works(${LANG} FALSE) + endif() + + # Next, we'll initialize the MPI variables that have not been previously set. + set(MPI_${LANG}_COMPILE_OPTIONS "" CACHE STRING "MPI ${LANG} compilation flags" ) + set(MPI_${LANG}_COMPILE_DEFINITIONS "" CACHE STRING "MPI ${LANG} compilation definitions" ) + set(MPI_${LANG}_ADDITIONAL_INCLUDE_DIRS "" CACHE STRING "MPI ${LANG} additional include directories") + set(MPI_${LANG}_LINK_FLAGS "" CACHE STRING "MPI ${LANG} linker flags" ) + if(NOT MPI_${LANG}_COMPILER STREQUAL CMAKE_${LANG}_COMPILER) + set(MPI_${LANG}_LIB_NAMES "" CACHE STRING "MPI ${LANG} libraries to link against" ) + endif() + mark_as_advanced(MPI_${LANG}_COMPILE_OPTIONS MPI_${LANG}_COMPILE_DEFINITIONS MPI_${LANG}_LINK_FLAGS + MPI_${LANG}_LIB_NAMES MPI_${LANG}_ADDITIONAL_INCLUDE_DIRS MPI_${LANG}_COMPILER) + + # If we've found MPI, then we'll perform additional analysis: Determine the MPI version, MPI library version, supported + # MPI APIs (i.e. MPI-2 C++ bindings). For Fortran we also need to find specific parameters if we're under MPI-3. + if(MPI_${LANG}_WORKS) + if("${LANG}" STREQUAL "CXX" AND NOT DEFINED MPI_MPICXX_FOUND) + if(NOT MPI_CXX_SKIP_MPICXX AND NOT MPI_CXX_VALIDATE_SKIP_MPICXX) + _MPI_try_staged_settings(${LANG} test_mpi MPICXX FALSE FALSE) + if(MPI_RESULT_${LANG}_test_mpi_MPICXX) + set(MPI_MPICXX_FOUND TRUE) + else() + set(MPI_MPICXX_FOUND FALSE) + endif() + else() + set(MPI_MPICXX_FOUND FALSE) + endif() + endif() + + # At this point, we know the bindings present but not the MPI version or anything else. + if(NOT DEFINED MPI_${LANG}_VERSION) + unset(MPI_${LANG}_VERSION_MAJOR) + unset(MPI_${LANG}_VERSION_MINOR) + endif() + set(MPI_BIN_FOLDER ${CMAKE_BINARY_DIR}${CMAKE_FILES_DIRECTORY}/FindMPI) + + # For Fortran, we'll want to use the most modern MPI binding to test capabilities other than the + # Fortran parameters, since those depend on the method of consumption. + # For C++, we can always use the C bindings, and should do so, since the C++ bindings do not exist in MPI-3 + # whereas the C bindings do, and the C++ bindings never offered any feature advantage over their C counterparts. + if("${LANG}" STREQUAL "Fortran") + if(MPI_${LANG}_HAVE_F08_MODULE) + set(MPI_${LANG}_HIGHEST_METHOD F08_MODULE) + elseif(MPI_${LANG}_HAVE_F90_MODULE) + set(MPI_${LANG}_HIGHEST_METHOD F90_MODULE) + else() + set(MPI_${LANG}_HIGHEST_METHOD F77_HEADER) + endif() + + # Another difference between C and Fortran is that we can't use the preprocessor to determine whether MPI_VERSION + # and MPI_SUBVERSION are provided. These defines did not exist in MPI 1.0 and 1.1 and therefore might not + # exist. For C/C++, test_mpi.c will handle the MPI_VERSION extraction, but for Fortran, we need mpiver.f90. + if(NOT DEFINED MPI_${LANG}_VERSION) + _MPI_try_staged_settings(${LANG} mpiver ${MPI_${LANG}_HIGHEST_METHOD} FALSE FALSE) + if(MPI_RESULT_${LANG}_mpiver_${MPI_${LANG}_HIGHEST_METHOD}) + file(STRINGS ${MPI_BIN_FOLDER}/mpiver_${LANG}.bin _MPI_VERSION_STRING LIMIT_COUNT 1 REGEX "INFO:MPI-VER") + if("${_MPI_VERSION_STRING}" MATCHES ".*INFO:MPI-VER\\[([0-9]+)\\.([0-9]+)\\].*") + set(MPI_${LANG}_VERSION_MAJOR "${CMAKE_MATCH_1}") + set(MPI_${LANG}_VERSION_MINOR "${CMAKE_MATCH_2}") + set(MPI_${LANG}_VERSION "${MPI_${LANG}_VERSION_MAJOR}.${MPI_${LANG}_VERSION_MINOR}") + endif() + endif() + endif() + + # Finally, we want to find out which capabilities a given interface supports, compare the MPI-3 standard. + # This is determined by interface specific parameters MPI_SUBARRAYS_SUPPORTED and MPI_ASYNC_PROTECTS_NONBLOCKING + # and might vary between the different methods of consumption. + if(MPI_DETERMINE_Fortran_CAPABILITIES AND NOT MPI_Fortran_CAPABILITIES_DETERMINED) + foreach(mpimethod IN ITEMS F08_MODULE F90_MODULE F77_HEADER) + if(MPI_${LANG}_HAVE_${mpimethod}) + set(MPI_${LANG}_${mpimethod}_SUBARRAYS FALSE) + set(MPI_${LANG}_${mpimethod}_ASYNCPROT FALSE) + _MPI_try_staged_settings(${LANG} fortranparam_mpi ${mpimethod} TRUE FALSE) + if(MPI_RESULT_${LANG}_fortranparam_mpi_${mpimethod} AND + NOT "${MPI_RUN_RESULT_${LANG}_fortranparam_mpi_${mpimethod}}" STREQUAL "FAILED_TO_RUN") + if("${MPI_RUN_OUTPUT_${LANG}_fortranparam_mpi_${mpimethod}}" MATCHES + ".*INFO:SUBARRAYS\\[ *([TF]) *\\]-ASYNCPROT\\[ *([TF]) *\\].*") + if("${CMAKE_MATCH_1}" STREQUAL "T") + set(MPI_${LANG}_${mpimethod}_SUBARRAYS TRUE) + endif() + if("${CMAKE_MATCH_2}" STREQUAL "T") + set(MPI_${LANG}_${mpimethod}_ASYNCPROT TRUE) + endif() + endif() + endif() + endif() + endforeach() + set(MPI_Fortran_CAPABILITIES_DETERMINED TRUE) + endif() + else() + set(MPI_${LANG}_HIGHEST_METHOD normal) + + # By the MPI-2 standard, MPI_VERSION and MPI_SUBVERSION are valid for both C and C++ bindings. + if(NOT DEFINED MPI_${LANG}_VERSION) + file(STRINGS ${MPI_BIN_FOLDER}/test_mpi_${LANG}.bin _MPI_VERSION_STRING LIMIT_COUNT 1 REGEX "INFO:MPI-VER") + if("${_MPI_VERSION_STRING}" MATCHES ".*INFO:MPI-VER\\[([0-9]+)\\.([0-9]+)\\].*") + set(MPI_${LANG}_VERSION_MAJOR "${CMAKE_MATCH_1}") + set(MPI_${LANG}_VERSION_MINOR "${CMAKE_MATCH_2}") + set(MPI_${LANG}_VERSION "${MPI_${LANG}_VERSION_MAJOR}.${MPI_${LANG}_VERSION_MINOR}") + endif() + endif() + endif() + + unset(MPI_BIN_FOLDER) + + # At this point, we have dealt with determining the MPI version and parameters for each Fortran method available. + # The one remaining issue is to determine which MPI library is installed. + # Determining the version and vendor of the MPI library is only possible via MPI_Get_library_version() at runtime, + # and therefore we cannot do this while cross-compiling (a user may still define MPI__LIBRARY_VERSION_STRING + # themselves and we'll attempt splitting it, which is equivalent to provide the try_run output). + # It's also worth noting that the installed version string can depend on the language, or on the system the binary + # runs on if MPI is not statically linked. + if(MPI_DETERMINE_LIBRARY_VERSION AND NOT MPI_${LANG}_LIBRARY_VERSION_STRING) + _MPI_try_staged_settings(${LANG} libver_mpi ${MPI_${LANG}_HIGHEST_METHOD} TRUE FALSE) + if(MPI_RESULT_${LANG}_libver_mpi_${MPI_${LANG}_HIGHEST_METHOD} AND + "${MPI_RUN_RESULT_${LANG}_libver_mpi_${MPI_${LANG}_HIGHEST_METHOD}}" EQUAL "0") + string(STRIP "${MPI_RUN_OUTPUT_${LANG}_libver_mpi_${MPI_${LANG}_HIGHEST_METHOD}}" + MPI_${LANG}_LIBRARY_VERSION_STRING) + else() + set(MPI_${LANG}_LIBRARY_VERSION_STRING "NOTFOUND") + endif() + endif() + endif() + + set(MPI_${LANG}_FIND_QUIETLY ${MPI_FIND_QUIETLY}) + set(MPI_${LANG}_FIND_VERSION ${MPI_FIND_VERSION}) + set(MPI_${LANG}_FIND_VERSION_EXACT ${MPI_FIND_VERSION_EXACT}) + + unset(MPI_${LANG}_REQUIRED_VARS) + if (NOT "${MPI_${LANG}_COMPILER}" STREQUAL "${CMAKE_${LANG}_COMPILER}") + foreach(mpilibname IN LISTS MPI_${LANG}_LIB_NAMES) + list(APPEND MPI_${LANG}_REQUIRED_VARS "MPI_${mpilibname}_LIBRARY") + endforeach() + list(APPEND MPI_${LANG}_REQUIRED_VARS "MPI_${LANG}_LIB_NAMES") + if("${LANG}" STREQUAL "Fortran") + # For Fortran we only need one of the module or header directories to have *some* support for MPI. + if(NOT MPI_${LANG}_MODULE_DIR) + list(APPEND MPI_${LANG}_REQUIRED_VARS "MPI_${LANG}_F77_HEADER_DIR") + endif() + if(NOT MPI_${LANG}_F77_HEADER_DIR) + list(APPEND MPI_${LANG}_REQUIRED_VARS "MPI_${LANG}_MODULE_DIR") + endif() + else() + list(APPEND MPI_${LANG}_REQUIRED_VARS "MPI_${LANG}_HEADER_DIR") + endif() + if(MPI_${LANG}_ADDITIONAL_INCLUDE_VARS) + foreach(mpiincvar IN LISTS MPI_${LANG}_ADDITIONAL_INCLUDE_VARS) + list(APPEND MPI_${LANG}_REQUIRED_VARS "MPI_${mpiincvar}_INCLUDE_DIR") + endforeach() + endif() + # Append the works variable now. If the settings did not work, this will show up properly. + list(APPEND MPI_${LANG}_REQUIRED_VARS "MPI_${LANG}_WORKS") + else() + # If the compiler worked implicitly, use its path as output. + # Should the compiler variable be set, we also require it to work. + list(APPEND MPI_${LANG}_REQUIRED_VARS "MPI_${LANG}_COMPILER") + if(MPI_${LANG}_COMPILER) + list(APPEND MPI_${LANG}_REQUIRED_VARS "MPI_${LANG}_WORKS") + endif() + endif() + find_package_handle_standard_args(MPI_${LANG} REQUIRED_VARS ${MPI_${LANG}_REQUIRED_VARS} + VERSION_VAR MPI_${LANG}_VERSION) + + if(DEFINED MPI_${LANG}_VERSION) + if(NOT _MPI_MIN_VERSION OR _MPI_MIN_VERSION VERSION_GREATER MPI_${LANG}_VERSION) + set(_MPI_MIN_VERSION MPI_${LANG}_VERSION) + endif() + endif() + endif() +endforeach() + +unset(_MPI_REQ_VARS) +foreach(LANG IN ITEMS C CXX Fortran) + if((NOT MPI_FIND_COMPONENTS AND CMAKE_${LANG}_COMPILER_LOADED) OR LANG IN_LIST MPI_FIND_COMPONENTS) + list(APPEND _MPI_REQ_VARS "MPI_${LANG}_FOUND") + endif() +endforeach() + +if(MPICXX IN_LIST MPI_FIND_COMPONENTS) + list(APPEND _MPI_REQ_VARS "MPI_MPICXX_FOUND") +endif() + +find_package_handle_standard_args(MPI + REQUIRED_VARS ${_MPI_REQ_VARS} + VERSION_VAR ${_MPI_MIN_VERSION} + HANDLE_COMPONENTS) + +#============================================================================= +# More backward compatibility stuff + +# For compatibility reasons, we also define MPIEXEC +set(MPIEXEC "${MPIEXEC_EXECUTABLE}") + +# Copy over MPI__INCLUDE_PATH from the assembled INCLUDE_DIRS. +foreach(LANG IN ITEMS C CXX Fortran) + if(MPI_${LANG}_FOUND) + set(MPI_${LANG}_INCLUDE_PATH "${MPI_${LANG}_INCLUDE_DIRS}") + unset(MPI_${LANG}_COMPILE_FLAGS) + if(MPI_${LANG}_COMPILE_OPTIONS) + list(JOIN MPI_${LANG}_COMPILE_OPTIONS " " MPI_${LANG}_COMPILE_FLAGS) + endif() + if(MPI_${LANG}_COMPILE_DEFINITIONS) + foreach(_MPI_DEF IN LISTS MPI_${LANG}_COMPILE_DEFINITIONS) + string(APPEND MPI_${LANG}_COMPILE_FLAGS " -D${_MPI_DEF}") + endforeach() + endif() + endif() +endforeach() + +# Bare MPI sans ${LANG} vars are set to CXX then C, depending on what was found. +# This mimics the behavior of the old language-oblivious FindMPI. +set(_MPI_OLD_VARS COMPILER INCLUDE_PATH COMPILE_FLAGS LINK_FLAGS LIBRARIES) +if (MPI_CXX_FOUND) + foreach (var ${_MPI_OLD_VARS}) + set(MPI_${var} ${MPI_CXX_${var}}) + endforeach() +elseif (MPI_C_FOUND) + foreach (var ${_MPI_OLD_VARS}) + set(MPI_${var} ${MPI_C_${var}}) + endforeach() +endif() + +# Chop MPI_LIBRARIES into the old-style MPI_LIBRARY and MPI_EXTRA_LIBRARY, and set them in cache. +if (MPI_LIBRARIES) + list(GET MPI_LIBRARIES 0 MPI_LIBRARY_WORK) + set(MPI_LIBRARY "${MPI_LIBRARY_WORK}") + unset(MPI_LIBRARY_WORK) +else() + set(MPI_LIBRARY "MPI_LIBRARY-NOTFOUND") +endif() + +list(LENGTH MPI_LIBRARIES MPI_NUMLIBS) +if (MPI_NUMLIBS GREATER 1) + set(MPI_EXTRA_LIBRARY_WORK "${MPI_LIBRARIES}") + list(REMOVE_AT MPI_EXTRA_LIBRARY_WORK 0) + set(MPI_EXTRA_LIBRARY "${MPI_EXTRA_LIBRARY_WORK}") + unset(MPI_EXTRA_LIBRARY_WORK) +else() + set(MPI_EXTRA_LIBRARY "MPI_EXTRA_LIBRARY-NOTFOUND") +endif() +set(MPI_IGNORE_LEGACY_VARIABLES TRUE) +#============================================================================= + +# unset these vars to cleanup namespace +unset(_MPI_OLD_VARS) +unset(_MPI_PREFIX_PATH) +unset(_MPI_BASE_DIR) +foreach (lang C CXX Fortran) + unset(_MPI_${LANG}_COMPILER_NAMES) +endforeach() + +cmake_policy(POP) diff --git a/cmake_modules/dependencies/modules/find/FindNetCDF.cmake b/cmake_modules/dependencies/modules/find/FindNetCDF.cmake new file mode 100644 index 0000000..ad0062d --- /dev/null +++ b/cmake_modules/dependencies/modules/find/FindNetCDF.cmake @@ -0,0 +1,71 @@ +# - Find NetCDF +# Find the native NetCDF includes and library +# +# NETCDF_INCLUDES - where to find netcdf.h, etc +# NETCDF_LIBRARIES - Link these libraries when using NetCDF +# NETCDF_FOUND - True if NetCDF found including required interfaces (see below) +# +# Your package can require certain interfaces to be FOUND by setting these +# +# NETCDF_CXX - require the C++ interface and link the C++ library +# NETCDF_F77 - require the F77 interface and link the fortran library +# NETCDF_F90 - require the F90 interface and link the fortran library +# +# The following are not for general use and are included in +# NETCDF_LIBRARIES if the corresponding option above is set. +# +# NETCDF_LIBRARIES_C - Just the C interface +# NETCDF_LIBRARIES_CXX - C++ interface, if available +# NETCDF_LIBRARIES_F77 - Fortran 77 interface, if available +# NETCDF_LIBRARIES_F90 - Fortran 90 interface, if available +# +# Normal usage would be: +# set (NETCDF_F90 "YES") +# find_package (NetCDF REQUIRED) +# target_link_libraries (uses_f90_interface ${NETCDF_LIBRARIES}) +# target_link_libraries (only_uses_c_interface ${NETCDF_LIBRARIES_C}) + +if (NETCDF_INCLUDES AND NETCDF_LIBRARIES) + # Already in cache, be silent + set (NETCDF_FIND_QUIETLY TRUE) +endif (NETCDF_INCLUDES AND NETCDF_LIBRARIES) + +find_path (NETCDF_INCLUDES netcdf.h + HINTS NETCDF_DIR ENV NETCDF_DIR) + +find_library (NETCDF_LIBRARIES_C NAMES netcdf) +mark_as_advanced(NETCDF_LIBRARIES_C) + +set (NetCDF_has_interfaces "YES") # will be set to NO if we're missing any interfaces +set (NetCDF_libs "${NETCDF_LIBRARIES_C}") + +get_filename_component (NetCDF_lib_dirs "${NETCDF_LIBRARIES_C}" PATH) + +macro (NetCDF_check_interface lang header libs) + if (NETCDF_${lang}) + find_path (NETCDF_INCLUDES_${lang} NAMES ${header} + HINTS "${NETCDF_INCLUDES}" NO_DEFAULT_PATH) + find_library (NETCDF_LIBRARIES_${lang} NAMES ${libs} + HINTS "${NetCDF_lib_dirs}" NO_DEFAULT_PATH) + mark_as_advanced (NETCDF_INCLUDES_${lang} NETCDF_LIBRARIES_${lang}) + if (NETCDF_INCLUDES_${lang} AND NETCDF_LIBRARIES_${lang}) + list (INSERT NetCDF_libs 0 ${NETCDF_LIBRARIES_${lang}}) # prepend so that -lnetcdf is last + else (NETCDF_INCLUDES_${lang} AND NETCDF_LIBRARIES_${lang}) + set (NetCDF_has_interfaces "NO") + message (STATUS "Failed to find NetCDF interface for ${lang}") + endif (NETCDF_INCLUDES_${lang} AND NETCDF_LIBRARIES_${lang}) + endif (NETCDF_${lang}) +endmacro (NetCDF_check_interface) + +NetCDF_check_interface (CXX netcdfcpp.h netcdf_c++) +NetCDF_check_interface (F77 netcdf.inc netcdff) +NetCDF_check_interface (F90 netcdf.mod netcdff) + +set (NETCDF_LIBRARIES "${NetCDF_libs}" CACHE STRING "All NetCDF libraries required for interface level") + +# handle the QUIETLY and REQUIRED arguments and set NETCDF_FOUND to TRUE if +# all listed variables are TRUE +include (FindPackageHandleStandardArgs) +find_package_handle_standard_args (NetCDF DEFAULT_MSG NETCDF_LIBRARIES NETCDF_INCLUDES NetCDF_has_interfaces) + +mark_as_advanced (NETCDF_LIBRARIES NETCDF_INCLUDES) \ No newline at end of file diff --git a/cmake_modules/dependencies/modules/find/FindPackageHandleStandardArgs.cmake b/cmake_modules/dependencies/modules/find/FindPackageHandleStandardArgs.cmake new file mode 100644 index 0000000..ec3b299 --- /dev/null +++ b/cmake_modules/dependencies/modules/find/FindPackageHandleStandardArgs.cmake @@ -0,0 +1,605 @@ +# Distributed under the OSI-approved BSD 3-Clause License. See accompanying +# file Copyright.txt or https://cmake.org/licensing for details. + +#[=======================================================================[.rst: +FindPackageHandleStandardArgs +----------------------------- + +This module provides functions intended to be used in :ref:`Find Modules` +implementing :command:`find_package()` calls. + +.. command:: find_package_handle_standard_args + + This command handles the ``REQUIRED``, ``QUIET`` and version-related + arguments of :command:`find_package`. It also sets the + ``_FOUND`` variable. The package is considered found if all + variables listed contain valid results, e.g. valid filepaths. + + There are two signatures: + + .. code-block:: cmake + + find_package_handle_standard_args( + (DEFAULT_MSG|) + ... + ) + + find_package_handle_standard_args( + [FOUND_VAR ] + [REQUIRED_VARS ...] + [VERSION_VAR ] + [HANDLE_VERSION_RANGE] + [HANDLE_COMPONENTS] + [CONFIG_MODE] + [NAME_MISMATCHED] + [REASON_FAILURE_MESSAGE ] + [FAIL_MESSAGE ] + ) + + The ``_FOUND`` variable will be set to ``TRUE`` if all + the variables ``...`` are valid and any optional + constraints are satisfied, and ``FALSE`` otherwise. A success or + failure message may be displayed based on the results and on + whether the ``REQUIRED`` and/or ``QUIET`` option was given to + the :command:`find_package` call. + + The options are: + + ``(DEFAULT_MSG|)`` + In the simple signature this specifies the failure message. + Use ``DEFAULT_MSG`` to ask for a default message to be computed + (recommended). Not valid in the full signature. + + ``FOUND_VAR `` + .. deprecated:: 3.3 + + Specifies either ``_FOUND`` or + ``_FOUND`` as the result variable. This exists only + for compatibility with older versions of CMake and is now ignored. + Result variables of both names are always set for compatibility. + + ``REQUIRED_VARS ...`` + Specify the variables which are required for this package. + These may be named in the generated failure message asking the + user to set the missing variable values. Therefore these should + typically be cache entries such as ``FOO_LIBRARY`` and not output + variables like ``FOO_LIBRARIES``. + + .. versionchanged:: 3.18 + If ``HANDLE_COMPONENTS`` is specified, this option can be omitted. + + ``VERSION_VAR `` + Specify the name of a variable that holds the version of the package + that has been found. This version will be checked against the + (potentially) specified required version given to the + :command:`find_package` call, including its ``EXACT`` option. + The default messages include information about the required + version and the version which has been actually found, both + if the version is ok or not. + + ``HANDLE_VERSION_RANGE`` + .. versionadded:: 3.19 + + Enable handling of a version range, if one is specified. Without this + option, a developer warning will be displayed if a version range is + specified. + + ``HANDLE_COMPONENTS`` + Enable handling of package components. In this case, the command + will report which components have been found and which are missing, + and the ``_FOUND`` variable will be set to ``FALSE`` + if any of the required components (i.e. not the ones listed after + the ``OPTIONAL_COMPONENTS`` option of :command:`find_package`) are + missing. + + ``CONFIG_MODE`` + Specify that the calling find module is a wrapper around a + call to ``find_package( NO_MODULE)``. This implies + a ``VERSION_VAR`` value of ``_VERSION``. The command + will automatically check whether the package configuration file + was found. + + ``REASON_FAILURE_MESSAGE `` + .. versionadded:: 3.16 + + Specify a custom message of the reason for the failure which will be + appended to the default generated message. + + ``FAIL_MESSAGE `` + Specify a custom failure message instead of using the default + generated message. Not recommended. + + ``NAME_MISMATCHED`` + .. versionadded:: 3.17 + + Indicate that the ```` does not match + ``${CMAKE_FIND_PACKAGE_NAME}``. This is usually a mistake and raises a + warning, but it may be intentional for usage of the command for components + of a larger package. + +Example for the simple signature: + +.. code-block:: cmake + + find_package_handle_standard_args(LibXml2 DEFAULT_MSG + LIBXML2_LIBRARY LIBXML2_INCLUDE_DIR) + +The ``LibXml2`` package is considered to be found if both +``LIBXML2_LIBRARY`` and ``LIBXML2_INCLUDE_DIR`` are valid. +Then also ``LibXml2_FOUND`` is set to ``TRUE``. If it is not found +and ``REQUIRED`` was used, it fails with a +:command:`message(FATAL_ERROR)`, independent whether ``QUIET`` was +used or not. If it is found, success will be reported, including +the content of the first ````. On repeated CMake runs, +the same message will not be printed again. + +.. note:: + + If ```` does not match ``CMAKE_FIND_PACKAGE_NAME`` for the + calling module, a warning that there is a mismatch is given. The + ``FPHSA_NAME_MISMATCHED`` variable may be set to bypass the warning if using + the old signature and the ``NAME_MISMATCHED`` argument using the new + signature. To avoid forcing the caller to require newer versions of CMake for + usage, the variable's value will be used if defined when the + ``NAME_MISMATCHED`` argument is not passed for the new signature (but using + both is an error).. + +Example for the full signature: + +.. code-block:: cmake + + find_package_handle_standard_args(LibArchive + REQUIRED_VARS LibArchive_LIBRARY LibArchive_INCLUDE_DIR + VERSION_VAR LibArchive_VERSION) + +In this case, the ``LibArchive`` package is considered to be found if +both ``LibArchive_LIBRARY`` and ``LibArchive_INCLUDE_DIR`` are valid. +Also the version of ``LibArchive`` will be checked by using the version +contained in ``LibArchive_VERSION``. Since no ``FAIL_MESSAGE`` is given, +the default messages will be printed. + +Another example for the full signature: + +.. code-block:: cmake + + find_package(Automoc4 QUIET NO_MODULE HINTS /opt/automoc4) + find_package_handle_standard_args(Automoc4 CONFIG_MODE) + +In this case, a ``FindAutmoc4.cmake`` module wraps a call to +``find_package(Automoc4 NO_MODULE)`` and adds an additional search +directory for ``automoc4``. Then the call to +``find_package_handle_standard_args`` produces a proper success/failure +message. + +.. command:: find_package_check_version + + .. versionadded:: 3.19 + + Helper function which can be used to check if a ```` is valid + against version-related arguments of :command:`find_package`. + + .. code-block:: cmake + + find_package_check_version( + [HANDLE_VERSION_RANGE] + [RESULT_MESSAGE_VARIABLE ] + ) + + The ```` will hold a boolean value giving the result of the check. + + The options are: + + ``HANDLE_VERSION_RANGE`` + Enable handling of a version range, if one is specified. Without this + option, a developer warning will be displayed if a version range is + specified. + + ``RESULT_MESSAGE_VARIABLE `` + Specify a variable to get back a message describing the result of the check. + +Example for the usage: + +.. code-block:: cmake + + find_package_check_version(1.2.3 result HANDLE_VERSION_RANGE + RESULT_MESSAGE_VARIABLE reason) + if (result) + message (STATUS "${reason}") + else() + message (FATAL_ERROR "${reason}") + endif() +#]=======================================================================] + +include(FindPackageMessage.cmake) + + +cmake_policy(PUSH) +# numbers and boolean constants +cmake_policy (SET CMP0012 NEW) +# IN_LIST operator +cmake_policy (SET CMP0057 NEW) + + +# internal helper macro +macro(_FPHSA_FAILURE_MESSAGE _msg) + set (__msg "${_msg}") + if (FPHSA_REASON_FAILURE_MESSAGE) + string(APPEND __msg "\n Reason given by package: ${FPHSA_REASON_FAILURE_MESSAGE}\n") + endif() + if (${_NAME}_FIND_REQUIRED) + message(FATAL_ERROR "${__msg}") + else () + if (NOT ${_NAME}_FIND_QUIETLY) + message(STATUS "${__msg}") + endif () + endif () +endmacro() + + +# internal helper macro to generate the failure message when used in CONFIG_MODE: +macro(_FPHSA_HANDLE_FAILURE_CONFIG_MODE) + # _CONFIG is set, but FOUND is false, this means that some other of the REQUIRED_VARS was not found: + if(${_NAME}_CONFIG) + _FPHSA_FAILURE_MESSAGE("${FPHSA_FAIL_MESSAGE}: missing:${MISSING_VARS} (found ${${_NAME}_CONFIG} ${VERSION_MSG})") + else() + # If _CONSIDERED_CONFIGS is set, the config-file has been found, but no suitable version. + # List them all in the error message: + if(${_NAME}_CONSIDERED_CONFIGS) + set(configsText "") + list(LENGTH ${_NAME}_CONSIDERED_CONFIGS configsCount) + math(EXPR configsCount "${configsCount} - 1") + foreach(currentConfigIndex RANGE ${configsCount}) + list(GET ${_NAME}_CONSIDERED_CONFIGS ${currentConfigIndex} filename) + list(GET ${_NAME}_CONSIDERED_VERSIONS ${currentConfigIndex} version) + string(APPEND configsText "\n ${filename} (version ${version})") + endforeach() + if (${_NAME}_NOT_FOUND_MESSAGE) + if (FPHSA_REASON_FAILURE_MESSAGE) + string(PREPEND FPHSA_REASON_FAILURE_MESSAGE "${${_NAME}_NOT_FOUND_MESSAGE}\n ") + else() + set(FPHSA_REASON_FAILURE_MESSAGE "${${_NAME}_NOT_FOUND_MESSAGE}") + endif() + else() + string(APPEND configsText "\n") + endif() + _FPHSA_FAILURE_MESSAGE("${FPHSA_FAIL_MESSAGE} ${VERSION_MSG}, checked the following files:${configsText}") + + else() + # Simple case: No Config-file was found at all: + _FPHSA_FAILURE_MESSAGE("${FPHSA_FAIL_MESSAGE}: found neither ${_NAME}Config.cmake nor ${_NAME_LOWER}-config.cmake ${VERSION_MSG}") + endif() + endif() +endmacro() + + +function(FIND_PACKAGE_CHECK_VERSION version result) + cmake_parse_arguments (PARSE_ARGV 2 FPCV "HANDLE_VERSION_RANGE;NO_AUTHOR_WARNING_VERSION_RANGE" "RESULT_MESSAGE_VARIABLE" "") + + if (FPCV_UNPARSED_ARGUMENTS) + message (FATAL_ERROR "find_package_check_version(): ${FPCV_UNPARSED_ARGUMENTS}: unexpected arguments") + endif() + if ("RESULT_MESSAGE_VARIABLE" IN_LIST FPCV_KEYWORDS_MISSING_VALUES) + message (FATAL_ERROR "find_package_check_version(): RESULT_MESSAGE_VARIABLE expects an argument") + endif() + + set (${result} FALSE PARENT_SCOPE) + if (FPCV_RESULT_MESSAGE_VARIABLE) + unset (${FPCV_RESULT_MESSAGE_VARIABLE} PARENT_SCOPE) + endif() + + if (_CMAKE_FPHSA_PACKAGE_NAME) + set (package "${_CMAKE_FPHSA_PACKAGE_NAME}") + elseif (CMAKE_FIND_PACKAGE_NAME) + set (package "${CMAKE_FIND_PACKAGE_NAME}") + else() + message (FATAL_ERROR "find_package_check_version(): Cannot be used outside a 'Find Module'") + endif() + + if (NOT FPCV_NO_AUTHOR_WARNING_VERSION_RANGE + AND ${package}_FIND_VERSION_RANGE AND NOT FPCV_HANDLE_VERSION_RANGE) + message(AUTHOR_WARNING + "`find_package()` specify a version range but the option " + "HANDLE_VERSION_RANGE` is not passed to `find_package_check_version()`. " + "Only the lower endpoint of the range will be used.") + endif() + + + set (version_ok FALSE) + unset (version_msg) + + if (FPCV_HANDLE_VERSION_RANGE AND ${package}_FIND_VERSION_RANGE) + if ((${package}_FIND_VERSION_RANGE_MIN STREQUAL "INCLUDE" + AND version VERSION_GREATER_EQUAL ${package}_FIND_VERSION_MIN) + AND ((${package}_FIND_VERSION_RANGE_MAX STREQUAL "INCLUDE" + AND version VERSION_LESS_EQUAL ${package}_FIND_VERSION_MAX) + OR (${package}_FIND_VERSION_RANGE_MAX STREQUAL "EXCLUDE" + AND version VERSION_LESS ${package}_FIND_VERSION_MAX))) + set (version_ok TRUE) + set(version_msg "(found suitable version \"${version}\", required range is \"${${package}_FIND_VERSION_RANGE}\")") + else() + set(version_msg "Found unsuitable version \"${version}\", required range is \"${${package}_FIND_VERSION_RANGE}\"") + endif() + elseif (DEFINED ${package}_FIND_VERSION) + if(${package}_FIND_VERSION_EXACT) # exact version required + # count the dots in the version string + string(REGEX REPLACE "[^.]" "" version_dots "${version}") + # add one dot because there is one dot more than there are components + string(LENGTH "${version_dots}." version_dots) + if (version_dots GREATER ${package}_FIND_VERSION_COUNT) + # Because of the C++ implementation of find_package() ${package}_FIND_VERSION_COUNT + # is at most 4 here. Therefore a simple lookup table is used. + if (${package}_FIND_VERSION_COUNT EQUAL 1) + set(version_regex "[^.]*") + elseif (${package}_FIND_VERSION_COUNT EQUAL 2) + set(version_regex "[^.]*\\.[^.]*") + elseif (${package}_FIND_VERSION_COUNT EQUAL 3) + set(version_regex "[^.]*\\.[^.]*\\.[^.]*") + else() + set(version_regex "[^.]*\\.[^.]*\\.[^.]*\\.[^.]*") + endif() + string(REGEX REPLACE "^(${version_regex})\\..*" "\\1" version_head "${version}") + if (NOT ${package}_FIND_VERSION VERSION_EQUAL version_head) + set(version_msg "Found unsuitable version \"${version}\", but required is exact version \"${${package}_FIND_VERSION}\"") + else () + set(version_ok TRUE) + set(version_msg "(found suitable exact version \"${_FOUND_VERSION}\")") + endif () + else () + if (NOT ${package}_FIND_VERSION VERSION_EQUAL version) + set(version_msg "Found unsuitable version \"${version}\", but required is exact version \"${${package}_FIND_VERSION}\"") + else () + set(version_ok TRUE) + set(version_msg "(found suitable exact version \"${version}\")") + endif () + endif () + else() # minimum version + if (${package}_FIND_VERSION VERSION_GREATER version) + set(version_msg "Found unsuitable version \"${version}\", but required is at least \"${${package}_FIND_VERSION}\"") + else() + set(version_ok TRUE) + set(version_msg "(found suitable version \"${version}\", minimum required is \"${${package}_FIND_VERSION}\")") + endif() + endif() + else () + set(version_ok TRUE) + set(version_msg "(found version \"${version}\")") + endif() + + set (${result} ${version_ok} PARENT_SCOPE) + if (FPCV_RESULT_MESSAGE_VARIABLE) + set (${FPCV_RESULT_MESSAGE_VARIABLE} "${version_msg}" PARENT_SCOPE) + endif() +endfunction() + + +function(FIND_PACKAGE_HANDLE_STANDARD_ARGS _NAME _FIRST_ARG) + + # Set up the arguments for `cmake_parse_arguments`. + set(options CONFIG_MODE HANDLE_COMPONENTS NAME_MISMATCHED HANDLE_VERSION_RANGE) + set(oneValueArgs FAIL_MESSAGE REASON_FAILURE_MESSAGE VERSION_VAR FOUND_VAR) + set(multiValueArgs REQUIRED_VARS) + + # Check whether we are in 'simple' or 'extended' mode: + set(_KEYWORDS_FOR_EXTENDED_MODE ${options} ${oneValueArgs} ${multiValueArgs} ) + list(FIND _KEYWORDS_FOR_EXTENDED_MODE "${_FIRST_ARG}" INDEX) + + unset(FPHSA_NAME_MISMATCHED_override) + if (DEFINED FPHSA_NAME_MISMATCHED) + # If the variable NAME_MISMATCHED variable is set, error if it is passed as + # an argument. The former is for old signatures, the latter is for new + # signatures. + list(FIND ARGN "NAME_MISMATCHED" name_mismatched_idx) + if (NOT name_mismatched_idx EQUAL "-1") + message(FATAL_ERROR + "The `NAME_MISMATCHED` argument may only be specified by the argument or " + "the variable, not both.") + endif () + + # But use the variable if it is not an argument to avoid forcing minimum + # CMake version bumps for calling modules. + set(FPHSA_NAME_MISMATCHED_override "${FPHSA_NAME_MISMATCHED}") + endif () + + if(${INDEX} EQUAL -1) + set(FPHSA_FAIL_MESSAGE ${_FIRST_ARG}) + set(FPHSA_REQUIRED_VARS ${ARGN}) + set(FPHSA_VERSION_VAR) + else() + cmake_parse_arguments(FPHSA "${options}" "${oneValueArgs}" "${multiValueArgs}" ${_FIRST_ARG} ${ARGN}) + + if(FPHSA_UNPARSED_ARGUMENTS) + message(FATAL_ERROR "Unknown keywords given to FIND_PACKAGE_HANDLE_STANDARD_ARGS(): \"${FPHSA_UNPARSED_ARGUMENTS}\"") + endif() + + if(NOT FPHSA_FAIL_MESSAGE) + set(FPHSA_FAIL_MESSAGE "DEFAULT_MSG") + endif() + + # In config-mode, we rely on the variable _CONFIG, which is set by find_package() + # when it successfully found the config-file, including version checking: + if(FPHSA_CONFIG_MODE) + list(INSERT FPHSA_REQUIRED_VARS 0 ${_NAME}_CONFIG) + list(REMOVE_DUPLICATES FPHSA_REQUIRED_VARS) + set(FPHSA_VERSION_VAR ${_NAME}_VERSION) + endif() + + if(NOT FPHSA_REQUIRED_VARS AND NOT FPHSA_HANDLE_COMPONENTS) + message(FATAL_ERROR "No REQUIRED_VARS specified for FIND_PACKAGE_HANDLE_STANDARD_ARGS()") + endif() + endif() + + if (DEFINED FPHSA_NAME_MISMATCHED_override) + set(FPHSA_NAME_MISMATCHED "${FPHSA_NAME_MISMATCHED_override}") + endif () + + if (DEFINED CMAKE_FIND_PACKAGE_NAME + AND NOT FPHSA_NAME_MISMATCHED + AND NOT _NAME STREQUAL CMAKE_FIND_PACKAGE_NAME) + message(AUTHOR_WARNING + "The package name passed to `find_package_handle_standard_args` " + "(${_NAME}) does not match the name of the calling package " + "(${CMAKE_FIND_PACKAGE_NAME}). This can lead to problems in calling " + "code that expects `find_package` result variables (e.g., `_FOUND`) " + "to follow a certain pattern.") + endif () + + if (${_NAME}_FIND_VERSION_RANGE AND NOT FPHSA_HANDLE_VERSION_RANGE) + message(AUTHOR_WARNING + "`find_package()` specify a version range but the module ${_NAME} does " + "not support this capability. Only the lower endpoint of the range " + "will be used.") + endif() + + # to propagate package name to FIND_PACKAGE_CHECK_VERSION + set(_CMAKE_FPHSA_PACKAGE_NAME "${_NAME}") + + # now that we collected all arguments, process them + + if("x${FPHSA_FAIL_MESSAGE}" STREQUAL "xDEFAULT_MSG") + set(FPHSA_FAIL_MESSAGE "Could NOT find ${_NAME}") + endif() + + if (FPHSA_REQUIRED_VARS) + list(GET FPHSA_REQUIRED_VARS 0 _FIRST_REQUIRED_VAR) + endif() + + string(TOUPPER ${_NAME} _NAME_UPPER) + string(TOLOWER ${_NAME} _NAME_LOWER) + + if(FPHSA_FOUND_VAR) + set(_FOUND_VAR_UPPER ${_NAME_UPPER}_FOUND) + set(_FOUND_VAR_MIXED ${_NAME}_FOUND) + if(FPHSA_FOUND_VAR STREQUAL _FOUND_VAR_MIXED OR FPHSA_FOUND_VAR STREQUAL _FOUND_VAR_UPPER) + set(_FOUND_VAR ${FPHSA_FOUND_VAR}) + else() + message(FATAL_ERROR "The argument for FOUND_VAR is \"${FPHSA_FOUND_VAR}\", but only \"${_FOUND_VAR_MIXED}\" and \"${_FOUND_VAR_UPPER}\" are valid names.") + endif() + else() + set(_FOUND_VAR ${_NAME_UPPER}_FOUND) + endif() + + # collect all variables which were not found, so they can be printed, so the + # user knows better what went wrong (#6375) + set(MISSING_VARS "") + set(DETAILS "") + # check if all passed variables are valid + set(FPHSA_FOUND_${_NAME} TRUE) + foreach(_CURRENT_VAR ${FPHSA_REQUIRED_VARS}) + if(NOT ${_CURRENT_VAR}) + set(FPHSA_FOUND_${_NAME} FALSE) + string(APPEND MISSING_VARS " ${_CURRENT_VAR}") + else() + string(APPEND DETAILS "[${${_CURRENT_VAR}}]") + endif() + endforeach() + if(FPHSA_FOUND_${_NAME}) + set(${_NAME}_FOUND TRUE) + set(${_NAME_UPPER}_FOUND TRUE) + else() + set(${_NAME}_FOUND FALSE) + set(${_NAME_UPPER}_FOUND FALSE) + endif() + + # component handling + unset(FOUND_COMPONENTS_MSG) + unset(MISSING_COMPONENTS_MSG) + + if(FPHSA_HANDLE_COMPONENTS) + foreach(comp ${${_NAME}_FIND_COMPONENTS}) + if(${_NAME}_${comp}_FOUND) + + if(NOT DEFINED FOUND_COMPONENTS_MSG) + set(FOUND_COMPONENTS_MSG "found components:") + endif() + string(APPEND FOUND_COMPONENTS_MSG " ${comp}") + + else() + + if(NOT DEFINED MISSING_COMPONENTS_MSG) + set(MISSING_COMPONENTS_MSG "missing components:") + endif() + string(APPEND MISSING_COMPONENTS_MSG " ${comp}") + + if(${_NAME}_FIND_REQUIRED_${comp}) + set(${_NAME}_FOUND FALSE) + string(APPEND MISSING_VARS " ${comp}") + endif() + + endif() + endforeach() + set(COMPONENT_MSG "${FOUND_COMPONENTS_MSG} ${MISSING_COMPONENTS_MSG}") + string(APPEND DETAILS "[c${COMPONENT_MSG}]") + endif() + + # version handling: + set(VERSION_MSG "") + set(VERSION_OK TRUE) + + # check with DEFINED here as the requested or found version may be "0" + if (DEFINED ${_NAME}_FIND_VERSION) + if(DEFINED ${FPHSA_VERSION_VAR}) + set(_FOUND_VERSION ${${FPHSA_VERSION_VAR}}) + if (FPHSA_HANDLE_VERSION_RANGE) + set (FPCV_HANDLE_VERSION_RANGE HANDLE_VERSION_RANGE) + else() + set(FPCV_HANDLE_VERSION_RANGE NO_AUTHOR_WARNING_VERSION_RANGE) + endif() + find_package_check_version ("${_FOUND_VERSION}" VERSION_OK RESULT_MESSAGE_VARIABLE VERSION_MSG + ${FPCV_HANDLE_VERSION_RANGE}) + else() + # if the package was not found, but a version was given, add that to the output: + if(${_NAME}_FIND_VERSION_EXACT) + set(VERSION_MSG "(Required is exact version \"${${_NAME}_FIND_VERSION}\")") + elseif (FPHSA_HANDLE_VERSION_RANGE AND ${_NAME}_FIND_VERSION_RANGE) + set(VERSION_MSG "(Required is version range \"${${_NAME}_FIND_VERSION_RANGE}\")") + else() + set(VERSION_MSG "(Required is at least version \"${${_NAME}_FIND_VERSION}\")") + endif() + endif() + else () + # Check with DEFINED as the found version may be 0. + if(DEFINED ${FPHSA_VERSION_VAR}) + set(VERSION_MSG "(found version \"${${FPHSA_VERSION_VAR}}\")") + endif() + endif () + + if(VERSION_OK) + string(APPEND DETAILS "[v${${FPHSA_VERSION_VAR}}(${${_NAME}_FIND_VERSION})]") + else() + set(${_NAME}_FOUND FALSE) + endif() + + + # print the result: + if (${_NAME}_FOUND) + FIND_PACKAGE_MESSAGE(${_NAME} "Found ${_NAME}: ${${_FIRST_REQUIRED_VAR}} ${VERSION_MSG} ${COMPONENT_MSG}" "${DETAILS}") + else () + + if(FPHSA_CONFIG_MODE) + _FPHSA_HANDLE_FAILURE_CONFIG_MODE() + else() + if(NOT VERSION_OK) + set(RESULT_MSG) + if (_FIRST_REQUIRED_VAR) + string (APPEND RESULT_MSG "found ${${_FIRST_REQUIRED_VAR}}") + endif() + if (COMPONENT_MSG) + if (RESULT_MSG) + string (APPEND RESULT_MSG ", ") + endif() + string (APPEND RESULT_MSG "${FOUND_COMPONENTS_MSG}") + endif() + _FPHSA_FAILURE_MESSAGE("${FPHSA_FAIL_MESSAGE}: ${VERSION_MSG} (${RESULT_MSG})") + else() + _FPHSA_FAILURE_MESSAGE("${FPHSA_FAIL_MESSAGE} (missing:${MISSING_VARS}) ${VERSION_MSG}") + endif() + endif() + + endif () + + set(${_NAME}_FOUND ${${_NAME}_FOUND} PARENT_SCOPE) + set(${_NAME_UPPER}_FOUND ${${_NAME}_FOUND} PARENT_SCOPE) +endfunction() + + +cmake_policy(POP) diff --git a/cmake_modules/dependencies/modules/find/FindPackageMessage.cmake b/cmake_modules/dependencies/modules/find/FindPackageMessage.cmake new file mode 100644 index 0000000..0628b98 --- /dev/null +++ b/cmake_modules/dependencies/modules/find/FindPackageMessage.cmake @@ -0,0 +1,48 @@ +# Distributed under the OSI-approved BSD 3-Clause License. See accompanying +# file Copyright.txt or https://cmake.org/licensing for details. + +#[=======================================================================[.rst: +FindPackageMessage +------------------ + +.. code-block:: cmake + + find_package_message( "message for user" "find result details") + +This function is intended to be used in FindXXX.cmake modules files. +It will print a message once for each unique find result. This is +useful for telling the user where a package was found. The first +argument specifies the name (XXX) of the package. The second argument +specifies the message to display. The third argument lists details +about the find result so that if they change the message will be +displayed again. The macro also obeys the QUIET argument to the +find_package command. + +Example: + +.. code-block:: cmake + + if(X11_FOUND) + find_package_message(X11 "Found X11: ${X11_X11_LIB}" + "[${X11_X11_LIB}][${X11_INCLUDE_DIR}]") + else() + ... + endif() +#]=======================================================================] + +function(find_package_message pkg msg details) + # Avoid printing a message repeatedly for the same find result. + if(NOT ${pkg}_FIND_QUIETLY) + string(REPLACE "\n" "" details "${details}") + set(DETAILS_VAR FIND_PACKAGE_MESSAGE_DETAILS_${pkg}) + if(NOT "${details}" STREQUAL "${${DETAILS_VAR}}") + # The message has not yet been printed. + message(STATUS "${msg}") + + # Save the find details in the cache to avoid printing the same + # message again. + set("${DETAILS_VAR}" "${details}" + CACHE INTERNAL "Details about finding ${pkg}") + endif() + endif() +endfunction() diff --git a/cmake_modules/dependencies/modules/import/ImportChameleon.cmake b/cmake_modules/dependencies/modules/import/ImportChameleon.cmake new file mode 100644 index 0000000..ac939b0 --- /dev/null +++ b/cmake_modules/dependencies/modules/import/ImportChameleon.cmake @@ -0,0 +1,9 @@ +message("") +message(STATUS "Installing Chameleon") + +execute_process(COMMAND ./InstallChameleon.sh --prefix ${CMAKE_INSTALL_PREFIX} --setup ${TMP_DIR} --cuda ${CUDA_VALUE} --mpi ${MPI_VALUE} + WORKING_DIRECTORY ${ECRC_INSTALLATION_SCRIPTS_PATH} + RESULT_VARIABLE res) +if(${res} EQUAL 0) + set(CHAMELEON_INSTALLED TRUE) +endif() diff --git a/cmake_modules/dependencies/modules/import/ImportDeps.cmake b/cmake_modules/dependencies/modules/import/ImportDeps.cmake new file mode 100644 index 0000000..61d4a22 --- /dev/null +++ b/cmake_modules/dependencies/modules/import/ImportDeps.cmake @@ -0,0 +1,26 @@ +message("") +message("---------------------------------------- Dependencies") +message(STATUS "Checking for Exageostat Dependencies") + +set(ENV{PKG_CONFIG_PATH} ${CMAKE_INSTALL_PREFIX}/lib/pkgconfig:$ENV{PKG_CONFIG_PATH}) + +if(MPI_VALUE) + message("Trying to find MPI") + find_package(MPI REQUIRED) + message("FOUND MPI.....") +endif() + +include(ImportGSL) +if(NOT GSL_FOUND) + message(FATAL_ERROR "GSL Installation failed") +endif() + +include(ImportHWLOC) +if(NOT HWLOC_FOUND) + message(FATAL_ERROR "HWLOC Installation failed") +endif() + +include(ImportStarPu) +if(NOT STARPU_FOUND) + message(FATAL_ERROR "STARPU Installation failed") +endif() \ No newline at end of file diff --git a/cmake_modules/dependencies/modules/import/ImportGSL.cmake b/cmake_modules/dependencies/modules/import/ImportGSL.cmake new file mode 100644 index 0000000..ba8377b --- /dev/null +++ b/cmake_modules/dependencies/modules/import/ImportGSL.cmake @@ -0,0 +1,17 @@ +message("") +message("---------------------------------------- GSL") +message(STATUS "Checking for GSL") +if(NOT TARGET GSL) + find_package(GSL 2.4 QUIET) + if(GSL_FOUND) + message(" Found GSL") + elseif(${BUILD_DEPENDENCIES}) + execute_process(COMMAND ./InstallGSL.sh --prefix ${CMAKE_INSTALL_PREFIX} --setup ${TMP_DIR} + WORKING_DIRECTORY ${ECRC_INSTALLATION_SCRIPTS_PATH} + RESULT_VARIABLE res) + if(${res} EQUAL 0) + set(GSL_FOUND TRUE) + endif() + endif() +endif() +message(STATUS "GSL Done") diff --git a/cmake_modules/dependencies/modules/import/ImportHWLOC.cmake b/cmake_modules/dependencies/modules/import/ImportHWLOC.cmake new file mode 100644 index 0000000..a822d3d --- /dev/null +++ b/cmake_modules/dependencies/modules/import/ImportHWLOC.cmake @@ -0,0 +1,17 @@ +message("") +message("---------------------------------------- HWLOC") +message(STATUS "Checking for HWLOC") +if(NOT TARGET HWLOC) + find_package(HWLOC 1.11.5 QUIET) + if(HWLOC_FOUND) + message("Found HWLOC") + elseif(${BUILD_DEPENDENCIES}) + execute_process(COMMAND ./InstallHWLOC.sh --prefix ${CMAKE_INSTALL_PREFIX} --setup ${TMP_DIR} + WORKING_DIRECTORY ${ECRC_INSTALLATION_SCRIPTS_PATH} + RESULT_VARIABLE res) + if(${res} EQUAL 0) + set(HWLOC_FOUND TRUE) + endif() + endif() +endif() +message(STATUS "HWLOC Done") diff --git a/cmake_modules/dependencies/modules/import/ImportHiCMA.cmake b/cmake_modules/dependencies/modules/import/ImportHiCMA.cmake new file mode 100644 index 0000000..a8ad7b8 --- /dev/null +++ b/cmake_modules/dependencies/modules/import/ImportHiCMA.cmake @@ -0,0 +1,9 @@ +message("") +message(STATUS "Installing Hicma") + +execute_process(COMMAND ./InstallHiCMA.sh --prefix ${CMAKE_INSTALL_PREFIX} --setup ${TMP_DIR} --mpi ${MPI_VALUE} --build ${CMAKE_BINARY_DIR} + WORKING_DIRECTORY ${ECRC_INSTALLATION_SCRIPTS_PATH} + RESULT_VARIABLE res) +if(${res} EQUAL 0) + set(HiCMA_INSTALLED TRUE) +endif() diff --git a/cmake_modules/dependencies/modules/import/ImportNLOPT.cmake b/cmake_modules/dependencies/modules/import/ImportNLOPT.cmake new file mode 100644 index 0000000..d6db91a --- /dev/null +++ b/cmake_modules/dependencies/modules/import/ImportNLOPT.cmake @@ -0,0 +1,9 @@ +message("") +message(STATUS "Installing NLOPT") + +execute_process(COMMAND ./InstallNLOPT.sh --prefix ${CMAKE_INSTALL_PREFIX} --setup ${TMP_DIR} + WORKING_DIRECTORY ${ECRC_INSTALLATION_SCRIPTS_PATH} + RESULT_VARIABLE res) +if(${res} EQUAL 0) + set(NLOPT_INSTALLED TRUE) +endif() \ No newline at end of file diff --git a/cmake_modules/dependencies/modules/import/ImportNetCDF.cmake b/cmake_modules/dependencies/modules/import/ImportNetCDF.cmake new file mode 100644 index 0000000..ae6c175 --- /dev/null +++ b/cmake_modules/dependencies/modules/import/ImportNetCDF.cmake @@ -0,0 +1,9 @@ +message("") +message(STATUS "Installing NetCDF") + +execute_process(COMMAND ./InstallNetCDF.sh --prefix ${CMAKE_INSTALL_PREFIX} --setup ${TMP_DIR} + WORKING_DIRECTORY ${ECRC_INSTALLATION_SCRIPTS_PATH} + RESULT_VARIABLE res) +if(${res} EQUAL 0) + set(NETCDF_INSTALLED TRUE) +endif() \ No newline at end of file diff --git a/cmake_modules/dependencies/modules/import/ImportStarPu.cmake b/cmake_modules/dependencies/modules/import/ImportStarPu.cmake new file mode 100644 index 0000000..41666b9 --- /dev/null +++ b/cmake_modules/dependencies/modules/import/ImportStarPu.cmake @@ -0,0 +1,17 @@ +message("") +message("---------------------------------------- StarPu") +message(STATUS "Checking for StarPu") +if(NOT TARGET STARPU) + find_package(STARPU 1.3.0) + if(STARPU_FOUND) + message(" Found STARPU") + else() + execute_process(COMMAND ./InstallStarPu.sh --prefix ${CMAKE_INSTALL_PREFIX} --setup ${TMP_DIR} --cuda ${CUDA_VALUE} --mpi ${MPI_VALUE} + WORKING_DIRECTORY ${ECRC_INSTALLATION_SCRIPTS_PATH} + RESULT_VARIABLE res) + if(${res} EQUAL 0) + set(STARPU_FOUND TRUE) + endif() + endif() +endif() +message(STATUS "STARPU Done") diff --git a/cmake_modules/dependencies/scripts/InstallChameleon.sh b/cmake_modules/dependencies/scripts/InstallChameleon.sh new file mode 100755 index 0000000..6a42a91 --- /dev/null +++ b/cmake_modules/dependencies/scripts/InstallChameleon.sh @@ -0,0 +1,63 @@ +#VARIABLES +MPI_VALUE="OFF" +CUDA_VALUE="OFF" + +print_usage() { + echo "usage: $0 --prefix /path/to/install --setup /path/to/download/tar/file [--cuda ON|OFF] [--mpi ON|OFF]" +} + +echo "Reading Arguments" +while [ -n "$1" ] +do + case "$1" in + --prefix) + shift + PREFIX=$1 + shift + ;; + --setup) + shift + SETUP_DIR=$1 + shift + ;; + --mpi) + shift + MPI_VALUE=$1 + shift + ;; + --cuda) + shift + CUDA_VALUE=$1 + shift + ;; + --help|-h) + print_usage + exit 0 + ;; + *) + print_usage + exit 1 + ;; + esac +done + +echo "Cloning Chameleon..." +cd "$SETUP_DIR" || exit 1 +git clone https://gitlab.inria.fr/solverstack/chameleon.git chameleon +cd chameleon || exit 1; +git checkout release-1.1.0 +git submodule update --init --recursive +echo "Building Chameleon..." +rm -rf build +mkdir -p build +cd build || exit 1 +rm -rf ./CMake* + +LDFLAGS="-L$PREFIX/lib" cmake -DCMAKE_C_FLAGS=-fPIC -DCHAMELEON_USE_MPI="$MPI_VALUE" -DCMAKE_BUILD_TYPE="Release" \ +-DCMAKE_C_FLAGS_RELEASE="-O3 -Ofast -w" -DCHAMELEON_USE_CUDA="$CUDA_VALUE" -DCHAMELEON_ENABLE_EXAMPLE=OFF \ +-DCHAMELEON_ENABLE_TESTING=OFF -DCHAMELEON_ENABLE_TIMING=OFF -DBUILD_SHARED_LIBS=OFF -DCMAKE_INSTALL_PREFIX="$PREFIX" .. + +make clean && make -j || { echo 'CHAMELEON installation failed' ; exit 1; } +make -j install + +export PKG_CONFIG_PATH=$PREFIX/installdir/lib/pkgconfig:$PKG_CONFIG_PATH \ No newline at end of file diff --git a/cmake_modules/dependencies/scripts/InstallGSL.sh b/cmake_modules/dependencies/scripts/InstallGSL.sh new file mode 100755 index 0000000..4d539b9 --- /dev/null +++ b/cmake_modules/dependencies/scripts/InstallGSL.sh @@ -0,0 +1,49 @@ +#!/usr/bin/env bash +# Installation script for GSL + +print_usage() { + echo "usage: $0 --prefix /path/to/install --setup /path/to/download/tar/file" +} + +echo "Reading Arguments" +while [ -n "$1" ] +do + case "$1" in + --prefix) + shift + PREFIX=$1 + shift + ;; + --setup) + shift + SETUP_DIR=$1 + shift + ;; + --help|-h) + print_usage + exit 0 + ;; + *) + print_usage + exit 1 + ;; + esac +done + +if [ -z "$PREFIX" ] || [ -z "$SETUP_DIR" ]; then + echo "Please specify Installation Path (Path where the library will be actually installed) + AND Setup Path (Path where the untarred binaries will be downloaded)" + exit 1; +fi + +echo "Installing GSL..." +cd "$SETUP_DIR" || exit +wget https://ftp.gnu.org/gnu/gsl/gsl-2.6.tar.gz -O - | tar -zx +echo "Building GSL..." +cd gsl* || exit +./configure --prefix="$PREFIX" +make clean && make -j || { echo 'GSL installation failed' ; exit 1; } +make -j install + +export PKG_CONFIG_PATH=$PREFIX/installdir/lib/pkgconfig:$PKG_CONFIG_PATH +export LD_LIBRARY_PATH=$PREFIX/lib:$LD_LIBRARY_PATH \ No newline at end of file diff --git a/cmake_modules/dependencies/scripts/InstallHWLOC.sh b/cmake_modules/dependencies/scripts/InstallHWLOC.sh new file mode 100755 index 0000000..e386fba --- /dev/null +++ b/cmake_modules/dependencies/scripts/InstallHWLOC.sh @@ -0,0 +1,44 @@ +#!/usr/bin/env bash + +# Installation script for HWLOC + +print_usage() { + echo "usage: $0 --prefix /path/to/install --setup /path/to/download/tar/file" +} + +echo "Reading Arguments" +while [ -n "$1" ] +do + case "$1" in + --prefix) + shift + PREFIX=$1 + shift + ;; + --setup) + shift + SETUP_DIR=$1 + shift + ;; + --help|-h) + print_usage + exit 0 + ;; + *) + print_usage + exit 1 + ;; + esac +done + +echo "Installing HWLOC..." +cd "$SETUP_DIR" || exit +wget https://download.open-mpi.org/release/hwloc/v2.4/hwloc-2.4.0.tar.gz -O - | tar -zx +echo "Building HWLOC..." +cd hwloc* || exit +./configure --prefix="$PREFIX" +make clean && make -j || { echo 'HWLOC installation failed' ; exit 1; } +make -j install + +export PKG_CONFIG_PATH=$PREFIX/installdir/lib/pkgconfig:$PKG_CONFIG_PATH +export LD_LIBRARY_PATH=$PREFIX/lib:$LD_LIBRARY_PATH \ No newline at end of file diff --git a/cmake_modules/dependencies/scripts/InstallHiCMA.sh b/cmake_modules/dependencies/scripts/InstallHiCMA.sh new file mode 100755 index 0000000..1b07204 --- /dev/null +++ b/cmake_modules/dependencies/scripts/InstallHiCMA.sh @@ -0,0 +1,86 @@ +#VARIABLES +MPI_VALUE="OFF" +CUDA_VALUE="OFF" + +print_usage() { + echo "usage: $0 --prefix /path/to/install --setup /path/to/download/tar/file [--mpi ON|OFF]" +} + +echo "Reading Arguments" +while [ -n "$1" ] +do + case "$1" in + --prefix) + shift + PREFIX=$1 + shift + ;; + --setup) + shift + SETUP_DIR=$1 + shift + ;; + --build) + shift + BUILD_DIR=$1 + shift + ;; + --mpi) + shift + MPI_VALUE=$1 + shift + ;; + --cuda) + shift + CUDA_VALUE=$1 + shift + ;; + --help|-h) + print_usage + exit 0 + ;; + *) + print_usage + exit 1 + ;; + esac +done + +if [ "$MPI_VALUE" = "ON" ] + then + MPI_WORKS="-DMPI_C_WORKS=ON" #Hicma Sets Linker flags that interfere with CMake MPI build tests. This flag needs + # to be set in advance to ensure MPI checks pass. MPI is already found and configured + # at an earlier stage +fi + +echo "Installing HiCMA dependencies..." +cd "$SETUP_DIR" || exit 1 +git clone https://github.com/ecrc/hicma-dev hicma +cd hicma || exit 1; +git checkout FT_Removing_Chameleon_Dependency_MM +git submodule update --init --recursive + +echo "Building Stars-H" +cd stars-h || exit 1; +rm -rf build && mkdir -p build +cd build && cmake .. -DCMAKE_INSTALL_PREFIX=$PREFIX -DMPI=OFF -DOPENMP=OFF -DSTARPU=OFF -DBUILD_SHARED_LIBS=ON -DCMAKE_C_FLAGS=-fPIC -DCMAKE_C_FLAGS_RELEASE="-O3 -Ofast -w" +make clean && make -j || { echo 'Stars-H from HICMA installation failed' ; exit 1; } +make -j install + +echo "Building HCORE" +cd ../../hcore || exit 0; +rm -rf build && mkdir -p build +cd build && cmake .. -DCMAKE_INSTALL_PREFIX=$PREFIX -DCMAKE_C_FLAGS=-fPIC -DBUILD_SHARED_LIBS=ON -DCMAKE_C_FLAGS_RELEASE="-O3 -Ofast -w" +make clean && make -j || { echo 'HCORE from HICMA installation failed' ; exit 1; } +make -j install + +echo "Building HiCMA" +cd ../../ && rm -rf build && mkdir -p build +cd build || exit 1; +cp -r "$BUILD_DIR"/CMakeFiles . +cmake -DCMAKE_C_FLAGS=-fPIC -DHICMA_USE_MPI="$MPI_VALUE" -DCMAKE_BUILD_TYPE="Release" -DCMAKE_C_FLAGS_RELEASE="-O3 -Ofast -w" \ +-DBUILD_SHARED_LIBS=ON -DCMAKE_INSTALL_PREFIX="$PREFIX" -DCMAKE_C_FLAGS="-fcommon" .. +make clean && make -j || { echo 'HICMA installation failed' ; exit 1; } +make -j install + +export PKG_CONFIG_PATH=$PREFIX/installdir/lib/pkgconfig:$PKG_CONFIG_PATH diff --git a/cmake_modules/dependencies/scripts/InstallNLOPT.sh b/cmake_modules/dependencies/scripts/InstallNLOPT.sh new file mode 100755 index 0000000..f82b0b6 --- /dev/null +++ b/cmake_modules/dependencies/scripts/InstallNLOPT.sh @@ -0,0 +1,56 @@ +#!/usr/bin/env bash + +# Installation script for NLOPT + +print_usage() { + echo "usage: $0 --prefix /path/to/install --setup /path/to/download/tar/file" +} + +echo "Reading Arguments" +while [ -n "$1" ] +do + case "$1" in + --prefix) + shift + PREFIX=$1 + shift + ;; + --setup) + shift + SETUP_DIR=$1 + shift + ;; + --help|-h) + print_usage + exit 0 + ;; + *) + print_usage + exit 1 + ;; + esac +done + +if [ -z "$PREFIX" ] || [ -z "$SETUP_DIR" ]; then + echo "Please specify Installation Path (Path where the library will be actually installed) + AND Setup Path (Path where the untarred binaries will be downloaded)" + exit 1; +fi + +echo "Installing NLOPT..." +cd "$SETUP_DIR" || exit +wget https://github.com/stevengj/nlopt/archive/v2.7.0.tar.gz -O - | tar -zx +echo "Building NLOPT..." +cd nlopt* || exit +mkdir -p build +cd build || exit +rm -rf ./CMake* +cmake -DCMAKE_C_FLAGS=-fcommon -DCMAKE_C_FLAGS=-fPIC -DCMAKE_BUILD_TYPE="Release" \ +-DCMAKE_C_FLAGS_RELEASE="-O3 -Ofast -w" -DBUILD_SHARED_LIBS=ON -DCMAKE_INSTALL_PREFIX="$PREFIX" .. +make clean && make -j || { echo 'NLOPT installation failed' ; exit 1; } +make -j install + +export PKG_CONFIG_PATH=$PREFIX/installdir/lib/pkgconfig:$PKG_CONFIG_PATH +export LD_LIBRARY_PATH=$PREFIX/lib:$LD_LIBRARY_PATH +export NLOPT_LIBRARY_DIRS=$PREFIX/lib:$NLOPT_LIBRARY_DIRS +export NLOPT_INCLUDE_DIRS=$PREFIX/include:NLOPT_INCLUDE_DIRS diff --git a/cmake_modules/dependencies/scripts/InstallNetCDF.sh b/cmake_modules/dependencies/scripts/InstallNetCDF.sh new file mode 100755 index 0000000..113415c --- /dev/null +++ b/cmake_modules/dependencies/scripts/InstallNetCDF.sh @@ -0,0 +1,67 @@ +#!/usr/bin/env bash + +# Installation script for NLOPT + +print_usage() { + echo "usage: $0 --prefix /path/to/install --setup /path/to/download/tar/file" +} + +echo "Reading Arguments" +while [ -n "$1" ] +do + case "$1" in + --prefix) + shift + PREFIX=$1 + shift + ;; + --setup) + shift + SETUP_DIR=$1 + shift + ;; + --help|-h) + print_usage + exit 0 + ;; + *) + print_usage + exit 1 + ;; + esac +done + +if [ -z "$PREFIX" ]; then + echo "Please specify Installation Path (Path where the library will be actually installed) + AND Setup Path (Path where the untarred binaries will be downloaded)" + exit 1; +fi + +echo "Installing hdf5 library for netcdf4..." +cd "$SETUP_DIR" || exit +wget https://support.hdfgroup.org/ftp/HDF5/releases/hdf5-1.12/hdf5-1.12.0/src/hdf5-1.12.0.tar.gz -O - | tar -zx +echo "Building hdf5..." +cd hdf5* +./configure --prefix="$PREFIX" --with-zlib="$PREFIX" --enable-hl +make clean && make -j || { echo 'hdf5 installation failed' ; exit 1; } +make -j install +echo "hdf5 Done..." + +export HDF5=$PREFIX +export LD_LIBRARY_PATH=$PREFIX/lib:$LD_LIBRARY_PATH + +echo "Installing NetCDF..." +cd "$SETUP_DIR" || exit +wget https://github.com/Unidata/netcdf-c/archive/refs/tags/v4.7.4.tar.gz -O - | tar -zx +echo "Building NetCDF..." +cd netcdf* || exit + +export CPPFLAGS=-I$PREFIX/include +export LDFLAGS=-L$PREFIX/lib + +./configure --disable-dap --prefix="$PREFIX" +make clean && make -j || { echo 'Netcdf installation failed' ; exit 1; } +make -j install + +export PKG_CONFIG_PATH=$PREFIX/installdir/lib/pkgconfig:$PKG_CONFIG_PATH +export LD_LIBRARY_PATH=$PREFIX/lib:$LD_LIBRARY_PATH \ No newline at end of file diff --git a/cmake_modules/dependencies/scripts/InstallStarPu.sh b/cmake_modules/dependencies/scripts/InstallStarPu.sh new file mode 100755 index 0000000..408e263 --- /dev/null +++ b/cmake_modules/dependencies/scripts/InstallStarPu.sh @@ -0,0 +1,69 @@ +#!/usr/bin/env bash + +# Installation script for StarPU + +#VARIABLES +CUDA_VALUE="OFF" +MPI_VALUE="OFF" + +print_usage() { + echo "usage: $0 --prefix /path/to/install --setup /path/to/download/tar/file [--cuda ON|OFF] [--mpi ON|OFF]" +} + +while [ -n "$1" ] +do + case "$1" in + --cuda) + shift + CUDA_VALUE=$1 + shift + ;; + --mpi) + shift + MPI_VALUE=$1 + shift + ;; + --prefix) + shift + PREFIX=$1 + shift + ;; + --setup) + shift + SETUP_DIR=$1 + shift + ;; + --help|-h) + print_usage + exit 0 + ;; + *) + print_usage + exit 1 + ;; + esac +done + +echo "Installing StarPu..." +cd "$SETUP_DIR" || exit +wget https://files.inria.fr/starpu/starpu-1.3.9/starpu-1.3.9.tar.gz -O - | tar -zx +echo "Building StarPu... with CUDA $CUDA_VALUE AND MPI $MPI_VALUE" +cd starpu* || exit +if [ "$CUDA_VALUE" == "ON" ]; then + if [ "$MPI_VALUE" == "ON" ]; then + ./configure --disable-starpufft --enable-cuda --disable-opencl --prefix="$PREFIX" --disable-starpu-top --disable-starpufft --disable-build-doc --disable-starpufft-examples --disable-fortran --with-perf-model-dir="$SETUP_DIR" --disable-fstack-protector-all --disable-gcc-extensions + else + ./configure --disable-starpufft --enable-cuda --disable-mpi --disable-opencl --prefix="$PREFIX" --disable-starpu-top --disable-starpufft --disable-build-doc --disable-starpufft-examples --disable-fortran --with-perf-model-dir="$SETUP_DIR" --disable-fstack-protector-all --disable-gcc-extensions + fi +else + if [ "$MPI_VALUE" == "ON" ]; then + ./configure --disable-starpufft --disable-cuda --disable-opencl --prefix="$PREFIX" --disable-starpu-top --disable-starpufft --disable-build-doc --disable-starpufft-examples --disable-fortran --with-perf-model-dir="$SETUP_DIR" --disable-fstack-protector-all --disable-gcc-extensions + else + ./configure --disable-starpufft --disable-cuda --disable-mpi --disable-opencl --prefix="$PREFIX" --disable-starpu-top --disable-starpufft --disable-build-doc --disable-starpufft-examples --disable-fortran --disable-glpk --with-perf-model-dir="$SETUP_DIR" --disable-fstack-protector-all --disable-gcc-extensions + fi +fi +make clean && make -j || { echo 'STARPU installation failed' ; exit 1; } +make -j install + +export PKG_CONFIG_PATH=$PREFIX/installdir/lib/pkgconfig:$PKG_CONFIG_PATH +export LD_LIBRARY_PATH=$PREFIX/lib:$LD_LIBRARY_PATH \ No newline at end of file diff --git a/cmake_modules/ecrc b/cmake_modules/ecrc index 095eb28..559ed18 160000 --- a/cmake_modules/ecrc +++ b/cmake_modules/ecrc @@ -1 +1 @@ -Subproject commit 095eb28ddec8c14a9fda4c620c94680fd573253e +Subproject commit 559ed181ed2f895a11c881cc712ec0481a9e16af diff --git a/cudacore/compute/cuda_conv.cu b/cudacore/compute/cuda_conv.cu deleted file mode 100644 index 3b38de1..0000000 --- a/cudacore/compute/cuda_conv.cu +++ /dev/null @@ -1,92 +0,0 @@ -/** - * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology - * All rights reserved. - * - * ExaGeoStat is a software package provided by KAUST - **/ -/** - * - * @file cudaconv.c - * - * Cuda datatypes conversion. - * - * @version 1.1.0 - * - * @author Sameh Abdulah - * @date 2020-06-06 - * - **/ - -#define CHUNKSIZE 32 - -#include -#include -#include "../include/exageostatcudacore.h" -/*cudaError_t HalfMalloc(int nrows, int ncols, void *d_H){ - if(d_H != NULL){ - fprintf(stderr,"Pointer already allocated\nNO ACTION PERFORMED\n"); - return cudaErrorMemoryAllocation; - } -//use only tile dimension that are multiple of 8 -nrows+=nrows%8; -ncols+=nrows%8; -return cudaMalloc(&d_H,nrows*ncols*sizeof(half)); - -} - */ -__global__ void float2double_array_kernel(int nrows, int ncols, - const float *F, int ldf , - double *H, int ldh, cublasOperation_t transa){ - const int tx=threadIdx.x; - const int ty=threadIdx.y; - const int idx= blockIdx.x * blockDim.x + tx; - const int idy= blockIdx.y * blockDim.y + ty; - if(idx>=nrows || idy >=ncols){return;} - if(transa ==CUBLAS_OP_N) - H[idy*ldh+idx]= (double)F[idy*ldf+idx]; - else - H[idx*ldh+idy]= (double)F[idy*ldf+idx]; - // __syncthreads(); -} - -void float2double_array(int nrows, int ncols, - const float *F, int ldf, - double *H, int ldh , - cublasOperation_t transa, cudaStream_t stream){ - int nBlockx= (nrows+CHUNKSIZE-1)/CHUNKSIZE; - int nBlocky= (ncols+CHUNKSIZE-1)/CHUNKSIZE; - dim3 dimBlock(CHUNKSIZE,CHUNKSIZE); - dim3 dimGrid(nBlockx,nBlocky); - float2double_array_kernel<<>>(nrows, ncols, F, ldf, H, ldh, transa); -} - -__global__ void double2float_array_kernel(int nrows, int ncols, - const double *H, int ldh, - float *F, int ldf, cublasOperation_t transa){ - const int tx=threadIdx.x; - const int ty=threadIdx.y; - const int idx= blockIdx.x * blockDim.x + tx; - const int idy= blockIdx.y * blockDim.y + ty; - if(idx>=nrows || idy >=ncols){return;} - - if(transa ==CUBLAS_OP_N) - F[idy*ldf+idx]=__double2float_rn(H[idy*ldh+idx]); //Convert a double to a float in round-to-nearest-even mode. - else - F[idx*ldf+idy]=__double2float_rn(H[idy*ldh+idx]); //Convert a double to a float in round-to-nearest-even mode - //printf("%.17e - %.17e\n", F[idy*ldf+idx], H[idy*ldh+idx]); - // __syncthreads(); -} - -void double2float_array(int nrows, int ncols, - const double *H, int ldh, - float *F, int ldf, - cublasOperation_t transa, cudaStream_t stream){ - - int nBlockx= (nrows+CHUNKSIZE-1)/CHUNKSIZE; - int nBlocky= (ncols+CHUNKSIZE-1)/CHUNKSIZE; - dim3 dimBlock(CHUNKSIZE,CHUNKSIZE); - dim3 dimGrid(nBlockx,nBlocky); - double2float_array_kernel<<>>(nrows, ncols,H,ldh,F,ldf,transa); - -} diff --git a/cudacore/compute/cuda_zcmg.cu b/cudacore/compute/cuda_zcmg.cu deleted file mode 100644 index c743535..0000000 --- a/cudacore/compute/cuda_zcmg.cu +++ /dev/null @@ -1,73 +0,0 @@ -/** - * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology - * All rights reserved. - * - * ExaGeoStat is a software package provided by KAUST - **/ -/** - * - * @file cudaconv.c - * - * Cuda datatypes conversion. - * - * @version 1.1.0 - * - * @author Sameh Abdulah - * @date 2020-06-06 - * - **/ - -#define CHUNKSIZE 32 - -#include -#include -#include "../include/exageostatcudacore.h" - - -__global__ void dcmg_array_kernel(double *A, int m, int n, int m0, - int n0, double* l1_x_cuda, double* l1_y_cuda, double* l2_x_cuda, double* l2_y_cuda, - double localtheta0, double localtheta1, double localtheta2, int distance_metric) -{ - - const int tx = threadIdx.x; - const int ty = threadIdx.y; - const int idx = blockIdx.x * blockDim.x + tx; - const int idy = blockIdx.y * blockDim.y + ty; - - if(idx>=m || idy >=n){return;} - - //double x0, y0; - double expr = 0.0; - double expr1 = 0.0; - - double sigma_square = localtheta0;// * localtheta[0]; - - expr = sqrt(pow((l2_x_cuda[idx] - l1_x_cuda[idy]), 2) + - pow((l2_y_cuda[idx] - l1_y_cuda[idy]), 2)); - - expr1 = pow(expr, localtheta2); - if(expr == 0) - A[idx + idy * m] = sigma_square /*+ 1e-4*/; - else - A[idx + idy * m] = sigma_square * exp(-(expr1/localtheta1)); // power-exp kernel - - - -} - -void dcmg_array( double *A, int m, int n, int m0, - int n0, double* l1_x_cuda, double* l1_y_cuda, double* l2_x_cuda, double* l2_y_cuda, - double *localtheta, int distance_metric, cudaStream_t stream){ - - int nBlockx= (m+CHUNKSIZE-1)/CHUNKSIZE; - int nBlocky= (n+CHUNKSIZE-1)/CHUNKSIZE; - dim3 dimBlock(CHUNKSIZE,CHUNKSIZE); - dim3 dimGrid(nBlockx,nBlocky); - - - dcmg_array_kernel<<>>(A, m, n, m0, n0, l1_x_cuda, l1_y_cuda, l2_x_cuda, l2_y_cuda, localtheta[0],localtheta[1],localtheta[2], distance_metric); - - - -} diff --git a/cudacore/include/exageostatcudacore.h b/cudacore/include/exageostatcudacore.h deleted file mode 100644 index 13d111c..0000000 --- a/cudacore/include/exageostatcudacore.h +++ /dev/null @@ -1,65 +0,0 @@ -/** - * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology - * All rights reserved. - * - * ExaGeoStat is a software package provided by KAUST - **/ -/** - * - * @file exageostatcudacore.h - * - * CUDA core functions header file. - * - * @version 1.1.0 - * - * @author Sameh Abdulah - * @date 2020-06-06 - * - **/ -#ifndef _EXAGEOSTATCUDACORE_H_ -#define _EXAGEOSTATCUDACORE_H_ -#include "cudablas.h" -#include "lapacke.h" -#include "../../misc/include/MLE_misc.h" -#include "../../misc/include/flat_file.h" -int cuda_dsconv(int m, int n, - cuDoubleComplex *A, int lda, - cuFloatComplex *B, int ldb, cublasHandle_t handle); - - -int cuda_sdconv(int m, int n, - cuFloatComplex *A, int lda, - cuDoubleComplex *B, int ldb, cublasHandle_t handle); - - -void cuda_dcmg( double *A, int m, int n, int m0, - int n0, double* l1_x_cuda, double* l1_y_cuda, double* l2_x_cuda, double* l2_y_cuda, - double *localtheta, int distance_metric, cublasHandle_t handle); -#ifdef __cplusplus -extern "C" -{ -#endif - void double2float_array(int nrows, int ncols, - const double *H, int ldh, - float *F, int ldf, - cublasOperation_t transa, cudaStream_t stream); - - void float2double_array(int nrows, int ncols, - const float *F, int ldf, - double *H, int ldh , - cublasOperation_t transa, cudaStream_t stream); - - - void dcmg_array(double *A, int m, int n, - int m0, int n0, - double* l1_x_cuda, double* l1_y_cuda, double* l2_x_cuda, double* l2_y_cuda, - double *localtheta, int distance_metric, - cudaStream_t stream); - -#ifdef __cplusplus -} -#endif -#endif - - diff --git a/docs/handout.jpg b/docs/handout.jpg index 761cf802eb36a36901513aff99a0d06cff50f637..81942cb69eb84c717310e6da6ea379b2a36414e8 100644 GIT binary patch literal 1206621 zcmeFY1yo$iw)fk(1PSgE+zIXwAb4;0vy@t090FZTY^#R%0*m}_Z zOAUCR^6&uud>1F0zx6Q!@z+1E{dvfsg`` zz(`3*IY^~QjYz#n<47w=2S}I5sK^A!w8)&uV#tcfy2uvDZpeYik;tjYMaZ?tUC86e 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(X) : (Y)) - -static void cl_dcmg_cpu_func(void *buffers[],void *cl_arg){ +static void cl_dcmg_cpu_func(void *buffers[], void *cl_arg) { int m, n, m0, n0; location *l1; location *l2; location *lm; - double sigma1; - double sigma2; - double beta; - double nu1; - double nu2; - double nu12; - double a; + double sigma1; + double sigma2; + double beta; + double nu1; + double nu2; + double nu12; + double a; double rho; - double *theta; - double *A; + double* theta; + double* A; int distance_metric; int kernel; - //int size; - A = (double *)STARPU_MATRIX_GET_PTR(buffers[0]); + A = (double* ) STARPU_MATRIX_GET_PTR(buffers[0]); starpu_codelet_unpack_args(cl_arg, &m, &n, &m0, &n0, &l1, &l2, &lm, &theta, &distance_metric, &kernel);//, &size); - - if(kernel == 0) + if (kernel == 0) core_dcmg(A, m, n, m0, n0, l1, l2, theta, distance_metric); - else if(kernel == 1) + else if (kernel == 1) core_dcmg_nono_stat(A, m, n, m0, n0, l1, l2, lm, theta, distance_metric); - else if(kernel == 2) + else if (kernel == 2) core_dcmg_bivariate_flexible(A, m, n, m0, n0, l1, l2, theta, distance_metric); else if (kernel == 3) //parsimonious core_dcmg_bivariate_parsimonious(A, m, n, m0, n0, l1, l2, theta, distance_metric); @@ -56,28 +51,54 @@ static void cl_dcmg_cpu_func(void *buffers[],void *cl_arg){ core_dcmg_nuggets(A, m, n, m0, n0, l1, l2, theta, distance_metric); else if (kernel == 5) core_dcmg_spacetime_matern(A, m, n, m0, n0, l1, l2, theta, distance_metric); - // else if (kernel == 4) //parsimonious2 - // core_dcmg_bivariate_parsimonious2(A, m, n, m0, n0, l1, l2, theta, distance_metric);//, size); -} - + else if (kernel == 6) + core_dcmg_matern_dsigma_square(A, m, n, m0, n0, l1, l2, theta, distance_metric); + else if (kernel == 7) + core_dcmg_matern_dnu(A, m, n, m0, n0, l1, l2, theta, distance_metric); + else if (kernel == 8) + core_dcmg_matern_dbeta(A, m, n, m0, n0, l1, l2, theta, distance_metric); + else if (kernel == 9) + core_dcmg_matern_ddsigma_square(A, m, n); + else if (kernel == 10) + core_dcmg_matern_ddsigma_square_beta(A, m, n, m0, n0, l1, l2, theta, distance_metric); + else if (kernel == 11) + core_dcmg_matern_ddsigma_square_nu(A, m, n, m0, n0, l1, l2, theta, distance_metric); + else if (kernel == 12) + core_dcmg_matern_ddbeta_beta(A, m, n, m0, n0, l1, l2, theta, distance_metric); + else if (kernel == 13) + core_dcmg_matern_ddbeta_nu(A, m, n, m0, n0, l1, l2, theta, distance_metric); + else if (kernel == 14) + core_dcmg_matern_ddnu_nu(A, m, n, m0, n0, l1, l2, theta, distance_metric); + else if (kernel == 15) + core_dcmg_spacetime_bivariate_parsimonious(A, m, n, m0, n0, l1, l2, theta, distance_metric); + else if (kernel == 16) + core_ng_dcmg(A, m, n, m0, n0, l1, l2, theta, distance_metric); + else if (kernel == 17) + core_ng_exp_dcmg(A, m, n, m0, n0, l1, l2, theta, distance_metric); + else if (kernel == 18) + core_dcmg_trivariate_parsimonious(A, m, n, m0, n0, l1, l2, theta, distance_metric); + else if (kernel == 19) + core_dcmg_non_stat(A, m, n, m0, n0, l1, l2, theta, distance_metric); +} static struct starpu_codelet cl_dcmg = -{ - .where = STARPU_CPU, - .cpu_func = cl_dcmg_cpu_func, + { + .where = STARPU_CPU, + .cpu_func = cl_dcmg_cpu_func, #if defined(EXAGEOSTAT_USE_CUDA) - // .cuda_func = {cl_dcmg_cuda_func}, + // .cuda_func = {cl_dcmg_cuda_func}, #endif - .nbuffers = 1, - .modes = {STARPU_W}, - .name = "dcmg" -}; + .nbuffers = 1, + .modes = {STARPU_W}, + .name = "dcmg" + }; + /***************************************************************************//** * - * @ingroup MORSE_Complex64_t_Tile + * @ingroup CHAMELEON_Complex64_t_Tile * - * MORSE_MLE_cmg_Tile_Async - Calculate covariance matrix descA. + * CHAM_MLE_cmg_Tile_Async - Calculate covariance matrix descA. * Operates on matrices stored by tiles. * All matrices are passed through descriptors. * All dimensions are taken from the descriptors. @@ -88,7 +109,7 @@ static struct starpu_codelet cl_dcmg = * Generate upper or lower matrix. * * @param[out] descA - * descA: Morse descriptor that handles the generated covariance matrix + * descA: Chameleon descriptor that handles the generated covariance matrix * * @param[in] sequence * Identifies the sequence of function calls that this call belongs to @@ -116,87 +137,85 @@ static struct starpu_codelet cl_dcmg = ******************************************************************************* * * @return - * \retval MORSE_SUCCESS successful exit + * \retval CHAMELEON_SUCCESS successful exit * ******************************************************************************* * * ******************************************************************************/ -int MORSE_MLE_dcmg_diag_Tile_Async(MORSE_enum uplo, MORSE_desc_t *descA, location *l1, - location *l2, location *lm, double *theta, - char *dm, char *kernel_fun, int diag_thick, - MORSE_sequence_t *sequence, MORSE_request_t *request){ - - MORSE_context_t *morse; - MORSE_option_t options; - morse = morse_context_self(); - if (sequence->status != MORSE_SUCCESS) +int CHAM_MLE_dcmg_diag_Tile_Async(CHAM_enum uplo, CHAM_desc_t *descA, location *l1, + location *l2, location *lm, double* theta, + char* dm, char* kernel_fun, int diag_thick, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request) { + + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + chamctxt = chameleon_context_self(); + if (sequence->status != CHAMELEON_SUCCESS) return -2; - RUNTIME_options_init(&options, morse, sequence, request); + RUNTIME_options_init(&options, chamctxt, sequence, request); int m, n, m0, n0; - int distance_metric = strcmp(dm,"gc")==0? 1 : 0 ; + int distance_metric = strcmp(dm, "gc") == 0 ? 1 : 0; int kernel; - - if(strcmp(kernel_fun, "univariate_matern_stationary") == 0) + if (strcmp(kernel_fun, "univariate_matern_stationary") == 0) kernel = 0; - else if(strcmp(kernel_fun, "univariate_matern_non_stationary") == 0) + else if (strcmp(kernel_fun, "univariate_matern_non_stationary") == 0) kernel = 1; - else if(strcmp(kernel_fun, "bivariate_matern_flexible") == 0) + else if (strcmp(kernel_fun, "bivariate_matern_flexible") == 0) kernel = 2; - else if(strcmp(kernel_fun, "bivariate_matern_parsimonious") == 0 || strcmp(kernel_fun, "bivariate_matern_parsimonious_profile") == 0) + else if (strcmp(kernel_fun, "bivariate_matern_parsimonious") == 0 || + strcmp(kernel_fun, "bivariate_matern_parsimonious_profile") == 0) kernel = 3; - else if(strcmp(kernel_fun, "univariate_matern_nuggets_stationary") == 0) + else if (strcmp(kernel_fun, "univariate_matern_nuggets_stationary") == 0) kernel = 4; - else if(strcmp(kernel_fun, "univariate_spacetime_matern_stationary") == 0) + else if (strcmp(kernel_fun, "univariate_spacetime_matern_stationary") == 0) kernel = 5; - else - { - fprintf(stderr,"Choosen kernel is not exist: %s(19)!\n", kernel_fun); + else if (strcmp(kernel_fun, "univariate_matern_non_gaussian") == 0 || + strcmp(kernel_fun, "univariate_exp_non_gaussian") == 0) + kernel = 6; + else if (strcmp(kernel_fun, "bivariate_spacetime_matern_stationary") == 0) + kernel = 6; + else if (strcmp(kernel_fun, "univariate_matern_non_stat") == 0) + kernel = 10; + else { + fprintf(stderr, "Choosen kernel is not exist: %s(19)!\n", kernel_fun); fprintf(stderr, "Called function is: %s\n", __func__); exit(0); } - - - int tempmm, tempnn; - MORSE_desc_t A = *descA; - struct starpu_codelet *cl=&cl_dcmg; + CHAM_desc_t A = *descA; + struct starpu_codelet *cl = &cl_dcmg; for (n = 0; n < A.nt; n++) { - tempnn = n == A.nt -1 ? A.n - n * A.nb : A.nb; - if(uplo == MorseUpperLower) + tempnn = n == A.nt - 1 ? A.n - n * A.nb : A.nb; + if (uplo == ChamUpperLower) m = 0; else - m = A.m == A.n? n : 0; - for(; m < A.mt; m++) - { - if(abs(m-n) < diag_thick) - { - tempmm = m == A.mt -1 ? A.m- m* A.mb : A.mb; - m0= m * A.mb; - n0= n * A.nb; + m = A.m == A.n ? n : 0; + for (; m < A.mt; m++) { + if (abs(m - n) < diag_thick) { + tempmm = m == A.mt - 1 ? A.m - m * A.mb : A.mb; + m0 = m * A.mb; + n0 = n * A.nb; starpu_insert_task(starpu_mpi_codelet(cl), - STARPU_VALUE, &tempmm, sizeof(int), - STARPU_VALUE, &tempnn, sizeof(int), - STARPU_VALUE, &m0, sizeof(int), - STARPU_VALUE, &n0, sizeof(int), - STARPU_W, EXAGEOSTAT_RTBLKADDR(descA, MorseRealDouble, m, n), - STARPU_VALUE, &l1, sizeof(location*), - STARPU_VALUE, &l2, sizeof(location*), - STARPU_VALUE, &lm, sizeof(location*), - STARPU_VALUE, &theta, sizeof(double*), - STARPU_VALUE, &distance_metric, sizeof(int), - STARPU_VALUE, &kernel, sizeof(int), - 0); + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &tempnn, sizeof(int), + STARPU_VALUE, &m0, sizeof(int), + STARPU_VALUE, &n0, sizeof(int), + STARPU_W, EXAGEOSTAT_RTBLKADDR(descA, ChamRealDouble, m, n), + STARPU_VALUE, &l1, sizeof(location *), + STARPU_VALUE, &l2, sizeof(location *), + STARPU_VALUE, &lm, sizeof(location *), + STARPU_VALUE, &theta, sizeof(double* ), + STARPU_VALUE, &distance_metric, sizeof(int), + STARPU_VALUE, &kernel, sizeof(int), + 0); } } } RUNTIME_options_ws_free(&options); - RUNTIME_options_finalize(&options, morse); - return MORSE_SUCCESS; -} - - - + RUNTIME_options_finalize(&options, chamctxt); + return CHAMELEON_SUCCESS; +} \ No newline at end of file diff --git a/exageostat_approx/runtime/starpu/codelets/codelet_dpotrf_diag.c b/exageostat_approx/runtime/starpu/codelets/codelet_dpotrf_diag.c index 8a67f23..faff753 100755 --- a/exageostat_approx/runtime/starpu/codelets/codelet_dpotrf_diag.c +++ b/exageostat_approx/runtime/starpu/codelets/codelet_dpotrf_diag.c @@ -12,81 +12,81 @@ * * @file codelet_dpotrf.c * - * MORSE codelets kernel - * MORSE is a software package provided by Univ. of Tennessee, + * CHAMELEON codelets kernel + * CHAMELEON is a software package provided by Univ. of Tennessee, * Univ. of California Berkeley and Univ. of Colorado Denver * - * @version 1.1.0 + * @version 1.2.0 * @comment This file has been automatically generated - * from Plasma 2.5.0 for MORSE 1.0.0 + * from Plasma 2.5.0 for CHAMELEON 1.0.0 * @author Hatem Ltaief * @author Jakub Kurzak * @author Mathieu Faverge * @author Emmanuel Agullo * @author Cedric Castagnede - * @date 2018-11-11 + * @date 2022-11-09 * @generated d Fri Dec 1 14:38:46 2017 * **/ #include "chameleon_starpu.h" -#include "runtime_codelet_d.h" +//#include "chameleon/runtime/starpu/include/runtime_codelet_z.h" +#include #include "../include/starpu_exageostat_approx.h" + /** * - * @ingroup CORE_MORSE_Complex64_t + * @ingroup CORE_CHAMELEON_Complex64_t * **/ -void MORSE_TASK_dpotrf_diag(const MORSE_option_t *options, - MORSE_enum uplo, int n, int nb, - const MORSE_desc_t *A, int Am, int An, int lda, - int iinfo) -{ - (void)nb; +void CHAM_TASK_dpotrf_diag(const RUNTIME_option_t *options, + CHAM_enum uplo, int n, int nb, + const CHAM_desc_t *A, int Am, int An, int lda, + int iinfo) { + (void) nb; struct starpu_codelet *codelet = &cl_dpotrf; - void (*callback)(void*) = options->profiling ? cl_dpotrf_callback : NULL; + void (*callback)(void *) = options->profiling ? cl_dpotrf_callback : NULL; - MORSE_BEGIN_ACCESS_DECLARATION; - MORSE_ACCESS_RW(A, Am, An); - MORSE_END_ACCESS_DECLARATION; + CHAMELEON_BEGIN_ACCESS_DECLARATION; + CHAMELEON_ACCESS_RW(A, Am, An);CHAMELEON_END_ACCESS_DECLARATION; starpu_insert_task( - starpu_mpi_codelet(codelet), - STARPU_VALUE, &uplo, sizeof(MORSE_enum), - STARPU_VALUE, &n, sizeof(int), - STARPU_RW, EXAGEOSTAT_RTBLKADDR(A, MorseRealDouble, Am, An), - STARPU_VALUE, &lda, sizeof(int), - STARPU_VALUE, &iinfo, sizeof(int), - /* STARPU_SCRATCH, options->ws_worker, */ - STARPU_PRIORITY, options->priority, - STARPU_CALLBACK, callback, + starpu_mpi_codelet(codelet), + STARPU_VALUE, &uplo, sizeof(CHAM_enum), + STARPU_VALUE, &n, sizeof(int), + STARPU_RW, EXAGEOSTAT_RTBLKADDR(A, ChamRealDouble, Am, An), + STARPU_VALUE, &lda, sizeof(int), + STARPU_VALUE, &iinfo, sizeof(int), + /* STARPU_SCRATCH, options->ws_worker, */ + STARPU_PRIORITY, options->priority, + STARPU_CALLBACK, callback, #if defined(CHAMELEON_CODELETS_HAVE_NAME) - STARPU_NAME, "dpotrf_diag", + STARPU_NAME, "dpotrf_diag", #endif - 0); + 0); } #if !defined(CHAMELEON_SIMULATION) -static void cl_dpotrf_diag_cpu_func(void *descr[], void *cl_arg) -{ - MORSE_enum uplo; + +static void cl_dpotrf_diag_cpu_func(void *descr[], void *cl_arg) { + CHAM_enum uplo; int n; - double *A; + double* A; int lda; int iinfo; int info = 0; - A = (double *)STARPU_MATRIX_GET_PTR(descr[0]); + A = (double* ) STARPU_MATRIX_GET_PTR(descr[0]); starpu_codelet_unpack_args(cl_arg, &uplo, &n, &lda, &iinfo); //keep the core function from Chameleon CORE_dpotrf(uplo, n, A, lda, &info); } + #endif /* !defined(CHAMELEON_SIMULATION) */ /* * Codelet definition */ -CODELETS_CPU(dpotrf_diag, 1, cl_dpotrf_diag_cpu_func) - +CODELETS_CPU(dpotrf_diag, cl_dpotrf_diag_cpu_func) \ No newline at end of file diff --git a/exageostat_approx/runtime/starpu/codelets/codelet_hicma_dmdet.c b/exageostat_approx/runtime/starpu/codelets/codelet_hicma_dmdet.c index c0d9d61..f4cd7ee 100644 --- a/exageostat_approx/runtime/starpu/codelets/codelet_hicma_dmdet.c +++ b/exageostat_approx/runtime/starpu/codelets/codelet_hicma_dmdet.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,46 +11,49 @@ * * StarPU codelet to Calculate determinant of a given triangular matrix (A) * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2018-11-11 + * @date 2022-11-09 * **/ #include "../include/starpu_exageostat.h" -static void CORE_dmdet_starpu(void *buffers[],void *cl_arg){ +#include +#include +#include "hicma/hicma_ext/control/hicma_context.h" +static void CORE_dmdet_starpu(void *buffers[], void *cl_arg) { int m; int n; - double *A; + double* A; int m0; int n0; double det = 0; - double *determinant=&det; + double* determinant = &det; - *determinant = 0; - A = (double *)STARPU_MATRIX_GET_PTR(buffers[0]); - determinant = (double *)STARPU_MATRIX_GET_PTR(buffers[1]); - starpu_codelet_unpack_args(cl_arg, &m, &n, &m0, &n0); + *determinant = 0; + A = (double* ) STARPU_MATRIX_GET_PTR(buffers[0]); + determinant = (double* ) STARPU_MATRIX_GET_PTR(buffers[1]); + starpu_codelet_unpack_args(cl_arg, &m, &n, &m0, &n0); - double local_det=core_dmdet(A, m, n, m0, n0); + double local_det = core_dmdet(A, m, n, m0, n0); - *determinant += local_det; + *determinant += local_det; } static struct starpu_codelet cl_dmdet = -{ - .where = STARPU_CPU, - .cpu_funcs = {CORE_dmdet_starpu}, - .nbuffers = 2, - .modes = {STARPU_R,STARPU_RW}, - .name = "dmdet" -}; + { + .where = STARPU_CPU, + .cpu_funcs = {CORE_dmdet_starpu}, + .nbuffers = 2, + .modes = {STARPU_R, STARPU_RW}, + .name = "dmdet" + }; /***************************************************************************//** * - * @ingroup MORSE_Complex64_t_Tile + * @ingroup CHAMELEON_Complex64_t_Tile * - * MORSE_MLE_dmdet_Tile_Async - Calculate determinant for triangular matrix. + * EXAGEOSTAT_MLE_dmdet_Tile_Async - Calculate determinant for triangular matrix. * Operates on matrices stored by tiles. * All matrices are passed through descriptors. * All dimensions are taken from the descriptors. @@ -58,7 +61,7 @@ static struct starpu_codelet cl_dmdet = ******************************************************************************* * * @param[in] descA - * descA: Morse descriptor + * descA: CHAMELEON descriptor * * @param[in] sequence * Identifies the sequence of function calls that this call belongs to @@ -72,48 +75,40 @@ static struct starpu_codelet cl_dmdet = ******************************************************************************* * * @return - * \retval MORSE_SUCCESS successful exit + * \retval CHAMELEON_SUCCESS successful exit * ******************************************************************************* * * ******************************************************************************/ -int HICMA_MLE_dmdet_Tile_Async(MORSE_desc_t *descA, MORSE_sequence_t *sequence, MORSE_request_t *request, MORSE_desc_t * descdet) { +int EXAGEOSTAT_TLR_MLE_dmdet_Tile_Async(HICMA_desc_t *descA, HICMA_sequence_t *sequence, HICMA_request_t *request, + HICMA_desc_t *descdet) { - MORSE_context_t *morse; - MORSE_option_t options; - morse = morse_context_self(); - if (sequence->status != MORSE_SUCCESS) + HICMA_context_t *hicmatxt; + HICMA_option_t options; + hicmatxt = hicma_context_self(); + if (sequence->status != HICMA_SUCCESS) return -2; - RUNTIME_options_init(&options, morse, sequence, request); - + HICMA_RUNTIME_options_init(&options, hicmatxt, sequence, request); int m, m0, n0; int tempmm; - MORSE_desc_t A = *descA; - struct starpu_codelet *cl=&cl_dmdet; - + HICMA_desc_t A = *descA; + struct starpu_codelet *cl = &cl_dmdet; - for(m=0; m < A.mt; m++) - { - tempmm = m == A.mt-1 ? A.m-m*A.mb : A.mb; + for (m = 0; m < A.mt; m++) { + tempmm = m == A.mt - 1 ? A.m - m * A.mb : A.mb; starpu_insert_task(starpu_mpi_codelet(cl), - STARPU_VALUE, &tempmm, sizeof(int), - STARPU_VALUE, &tempmm, sizeof(int), - STARPU_R, EXAGEOSTAT_RTBLKADDR(descA, MorseRealDouble, m, 0), - STARPU_VALUE, &m0, sizeof(int), - STARPU_VALUE, &n0, sizeof(int), - STARPU_RW, EXAGEOSTAT_RTBLKADDR(descdet, MorseRealDouble, 0, 0), - 0); + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_R, EXAGEOSTAT_HICMA_RTBLKADDR(descA, HicmaRealDouble, m, 0), + STARPU_VALUE, &m0, sizeof(int), + STARPU_VALUE, &n0, sizeof(int), + STARPU_RW, EXAGEOSTAT_HICMA_RTBLKADDR(descdet, HicmaRealDouble, 0, 0), + 0); } - //MORSE_TASK_flush_desc( &options, MorseUpperLower, descA); - //MORSE_TASK_flush_desc( &options, MorseUpperLower, descdet); - RUNTIME_options_ws_free(&options); - RUNTIME_options_finalize(&options, morse); - //MORSE_TASK_flush_all(); - //MORSE_TASK_dataflush_all(); - return MORSE_SUCCESS; + HICMA_RUNTIME_options_ws_free(&options); + HICMA_RUNTIME_options_finalize(&options, hicmatxt); + return HICMA_SUCCESS; } - - diff --git a/exageostat_approx/runtime/starpu/codelets/codelet_hicma_ng_loglike.c b/exageostat_approx/runtime/starpu/codelets/codelet_hicma_ng_loglike.c new file mode 100644 index 0000000..ce8b310 --- /dev/null +++ b/exageostat_approx/runtime/starpu/codelets/codelet_hicma_ng_loglike.c @@ -0,0 +1,133 @@ +/** + * + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology + * All rights reserved. + * + * ExaGeoStat is a software package provided by KAUST + **/ +/** + * + * @file codelet_ng_loglike_lr.c + * + * StarPU codelet to Calculate the loglikelihood of non-Gaussian MLE. + * + * @version 1.2.0 + * + * @author Sagnik Mondal + * @author Sameh Abdulah + * @date 2022-11-09 + * + **/ +#include "../include/starpu_exageostat.h" +#include +#include +#include "hicma/hicma_ext/control/hicma_context.h" + +static void CORE_ng_loglike_lr_starpu(void *buffers[], void *cl_arg) { + int m, m0, i; + double* z; + double* theta; + double sum = 0; + double* s = ∑ + + theta = (double* ) malloc(6 * sizeof(double)); + z = (double* ) STARPU_MATRIX_GET_PTR(buffers[0]); + s = (double* ) STARPU_MATRIX_GET_PTR(buffers[1]); + + starpu_codelet_unpack_args(cl_arg, &m, &m0, + &theta[0], &theta[1], &theta[2], + &theta[3], &theta[4], &theta[5]); + + double local_sum = core_ng_loglike(z, theta, m); + *s += local_sum; +} + +static struct starpu_codelet cl_ng_loglike_lr = + { + .where = STARPU_CPU, + .cpu_funcs = {CORE_ng_loglike_lr_starpu}, + .nbuffers = 2, + .modes = {STARPU_R, STARPU_RW}, //Read access to Z and Read/Write access to the sum. + .name = "ng_loglike_lr" + }; + +/******************************************************************************* + * + * @ingroup CHAMELEON_Complex64_t_Tile + * + * EXAGEOSTAT_ng_loglike_lr_Tile_Async - Calculate the loglikelihood of non-Gaussian MLE. + * Operates on vectors stored by tiles. + * All matrices are passed through descriptors. + * All dimensions are taken from the descriptors. + * + ******************************************************************************* + * + * @param[in] descZ + * descZpre: Observed measurements descZ. + * + * @param[out] descSum + * descSum: The loglikelihood Sum of descriptor Z. + * + * @param[int] theta + * descerror: Model parameters. + * + * @param[in] sequence + * Identifies the sequence of function calls that this call belongs to + * (for completion checks and exception handling purposes). + * + * @param[out] request + * Identifies this function call (for exception handling purposes). + * + ******************************************************************************* + * + * @return + * \retval CHAMELEON_SUCCESS successful exit + * + ******************************************************************************* + * + * + ******************************************************************************/ + +int EXAGEOSTAT_ng_loglike_lr_Tile_Async(HICMA_desc_t *descZ, HICMA_desc_t *descsum, double* theta, + HICMA_sequence_t *sequence, HICMA_request_t *request) { + + HICMA_context_t *hicmatxt; + HICMA_option_t options; + hicmatxt = hicma_context_self(); + if (sequence->status != HICMA_SUCCESS) + return -2; + HICMA_RUNTIME_options_init(&options, hicmatxt, sequence, request); + + int m, m0; + int tempmm; + HICMA_desc_t Z = *descZ; + HICMA_desc_t sum = *descsum; + struct starpu_codelet *cl = &cl_ng_loglike_lr; + + + for (m = 0; m < Z.mt; m++) { + tempmm = m == Z.mt - 1 ? Z.m - m * Z.mb : Z.mb; + + m0 = m * Z.mb; + + starpu_insert_task(starpu_mpi_codelet(cl), + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &m0, sizeof(int), + STARPU_R, EXAGEOSTAT_HICMA_RTBLKADDR(descZ, HicmaRealDouble, m, 0), + STARPU_RW, EXAGEOSTAT_HICMA_RTBLKADDR(descsum, HicmaRealDouble, 0, 0), + STARPU_VALUE, &theta[0], sizeof(double), + STARPU_VALUE, &theta[1], sizeof(double), + STARPU_VALUE, &theta[2], sizeof(double), + STARPU_VALUE, &theta[3], sizeof(double), + STARPU_VALUE, &theta[4], sizeof(double), + STARPU_VALUE, &theta[5], sizeof(double), +#if defined(CHAMELEON_CODELETS_HAVE_NAME) + STARPU_NAME, "ng_loglike_lr", +#endif + 0); + } + + HICMA_RUNTIME_options_ws_free(&options); + HICMA_RUNTIME_options_finalize(&options, hicmatxt); + return HICMA_SUCCESS; +} diff --git a/exageostat_approx/runtime/starpu/codelets/codelet_hicma_ng_transform.c b/exageostat_approx/runtime/starpu/codelets/codelet_hicma_ng_transform.c new file mode 100644 index 0000000..2078780 --- /dev/null +++ b/exageostat_approx/runtime/starpu/codelets/codelet_hicma_ng_transform.c @@ -0,0 +1,128 @@ +/** + * + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology + * All rights reserved. + * + * ExaGeoStat is a software package provided by KAUST + **/ +/** + * + * @file codelet_ng_transform_lr.c + * + * StarPU codelet to Transform the measurements vector inside the non-Gaussian MLE function. + * + * @version 1.2.0 + * + * @author Sagnik Mondal + * @author Sameh Abdulah + * @date 2022-11-09 + * + **/ +#include "../include/starpu_exageostat.h" +#include +#include +#include "hicma/hicma_ext/control/hicma_context.h" + +static void CORE_ng_transform_lr_starpu(void *buffers[], void *cl_arg) { + int m, m0; + double* z; + double* theta; + double flag = 0; + double* all_flags = &flag; + *all_flags = 0; + + theta = (double* ) malloc(6 * sizeof(double)); + z = (double* ) STARPU_MATRIX_GET_PTR(buffers[0]); + all_flags = (double* ) STARPU_MATRIX_GET_PTR(buffers[1]); //to be removed + + starpu_codelet_unpack_args(cl_arg, &m, &m0, /*&flag,*/ + &theta[0], &theta[1], &theta[2], + &theta[3], &theta[4], &theta[5]); + + double local_flag = 0.0;// = core_dmdet(A, m, n, m0, n0); + + //Transform the measurements vector inside the non-Gaussian MLE function. + core_ng_transform(z, &local_flag, theta, m); +} + +static struct starpu_codelet cl_ng_transform_lr = + { + .where = STARPU_CPU, + .cpu_funcs = {CORE_ng_transform_lr_starpu}, + .nbuffers = 2, + .modes = {STARPU_RW, STARPU_W}, + .name = "ng_transform_lr" + }; + +/******************************************************************************* + * + * @ingroup CHAMELEON_Complex64_t_Tile + * + * EXAGEOSTAT_ng_transform_lr_Tile_Async - Transform the measurements vector inside the non-Gaussian MLE function. + * Operates on vectors stored by tiles. + * All matrices are passed through descriptors. + * All dimensions are taken from the descriptors. + * + ******************************************************************************* + * + * @param[in] descZ + * descZ: Observed measurements descZpre + * + * @param[in] theta + * theta: Model parameters. + * + * @param[in] sequence + * Identifies the sequence of function calls that this call belongs to + * (for completion checks and exception handling purposes). + * + * @param[out] request + * Identifies this function call (for exception handling purposes). + * + ******************************************************************************* + * + * @return + * \retval CHAMELEON_SUCCESS successful exit + * + ******************************************************************************* + * + * + ******************************************************************************/ + +int EXAGEOSTAT_ng_transform_lr_Tile_Async(HICMA_desc_t *descZ, HICMA_desc_t *descflag, const double* theta, + HICMA_sequence_t *sequence, HICMA_request_t *request) { + HICMA_context_t *hicmatxt; + HICMA_option_t options; + hicmatxt = hicma_context_self(); + if (sequence->status != HICMA_SUCCESS) + return -2; + HICMA_RUNTIME_options_init(&options, hicmatxt, sequence, request); + int m, m0; + int tempmm; + HICMA_desc_t Z = *descZ; + struct starpu_codelet *cl = &cl_ng_transform_lr; + + + for (m = 0; m < Z.mt; m++) { + tempmm = m == Z.mt - 1 ? Z.m - m * Z.mb : Z.mb; + m0 = m * Z.mb; + starpu_insert_task(starpu_mpi_codelet(cl), + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &m0, sizeof(int), + STARPU_RW, EXAGEOSTAT_HICMA_RTBLKADDR(descZ, HicmaRealDouble, m, 0), + STARPU_W, EXAGEOSTAT_HICMA_RTBLKADDR(descflag, HicmaRealDouble, 0, 0), + STARPU_VALUE, &theta[0], sizeof(double), + STARPU_VALUE, &theta[1], sizeof(double), + STARPU_VALUE, &theta[2], sizeof(double), + STARPU_VALUE, &theta[3], sizeof(double), + STARPU_VALUE, &theta[4], sizeof(double), + STARPU_VALUE, &theta[5], sizeof(double), +#if defined(CHAMELEON_CODELETS_HAVE_NAME) + STARPU_NAME, "ng_transform_lr", +#endif + 0); + } + HICMA_RUNTIME_options_ws_free(&options); + HICMA_RUNTIME_options_finalize(&options, hicmatxt); + // HICMA_Sequence_Wait(sequence); + return HICMA_SUCCESS; +} diff --git a/exageostat_approx/runtime/starpu/include/starpu_exageostat_approx.h b/exageostat_approx/runtime/starpu/include/starpu_exageostat_approx.h index 212c2a0..73abfdd 100644 --- a/exageostat_approx/runtime/starpu/include/starpu_exageostat_approx.h +++ b/exageostat_approx/runtime/starpu/include/starpu_exageostat_approx.h @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,22 +11,25 @@ * * StarPU codelets functions header file. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2018-11-11 + * @date 2022-11-09 * **/ #ifndef _STARPU_EXAGEOSTAT_APPROX_H_ #define _STARPU_EXAGEOSTAT_APPROX_H_ -#include "../../../core/include/exageostatcore.h" -#include "morse.h" -#include "../../../../include/morse_starpu.h" + +#include "../../../cpu_core/include/exageostatcore.h" +#include "chameleon.h" +#include "../../../../include/chameleon_starpu.h" #include "../../../../include/context.h" #include "../../../../include/descriptor.h" #include "../../../../include/chameleon_starpu.h" #include "starpu_exageostat.h" -//#include "chameleon_starpu.h" +#if defined(EXAGEOSTAT_USE_HICMA) + #include +#endif #if defined(CHAMELEON_USE_MPI) #undef STARPU_REDUX @@ -38,22 +41,30 @@ #define starpu_mpi_codelet(_codelet_) _codelet_ #endif -#define EXAGEOSTAT_RTBLKADDR( desc, type, m, n ) ( (starpu_data_handle_t)EXAGEOSTAT_data_getaddr( desc, type, m, n ) ) +#define EXAGEOSTAT_RTBLKADDR(desc, type, m, n) ( (starpu_data_handle_t)EXAGEOSTAT_data_getaddr( desc, type, m, n ) ) #define mBLKLDD(A, k) A->get_blkldd( A,k ) -//#define A(m,n) (double *)plasma_getaddr(A, m, n) +void *EXAGEOSTAT_data_getaddr(const CHAM_desc_t *A, int type, int m, int n); -void *EXAGEOSTAT_data_getaddr( const MORSE_desc_t *A, int type, int m, int n ); -int MORSE_MLE_dcmg_diag_Tile_Async(MORSE_enum uplo, MORSE_desc_t *descA, location *l1, - location *l2, location *lm, double *theta, - char *dm, char *kernel_fun, int diag_thick, - MORSE_sequence_t *sequence, MORSE_request_t *request); -void MORSE_TASK_dpotrf_diag(const MORSE_option_t *options, - MORSE_enum uplo, int n, int nb, - const MORSE_desc_t *A, int Am, int An, int lda, - int iinfo); -int HICMA_MLE_dmdet_Tile_Async(MORSE_desc_t *descA, MORSE_sequence_t *sequence, MORSE_request_t *request, MORSE_desc_t * descdet); +int CHAM_MLE_dcmg_diag_Tile_Async(CHAM_enum uplo, CHAM_desc_t *descA, location *l1, + location *l2, location *lm, double* theta, + char* dm, char* kernel_fun, int diag_thick, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); +void CHAM_TASK_dpotrf_diag(const RUNTIME_option_t *options, + CHAM_enum uplo, int n, int nb, + const CHAM_desc_t *A, int Am, int An, int lda, + int iinfo); +#if defined(EXAGEOSTAT_USE_HICMA) +int EXAGEOSTAT_TLR_MLE_dmdet_Tile_Async(HICMA_desc_t *descA, HICMA_sequence_t *sequence, HICMA_request_t *request, + HICMA_desc_t *descdet); + +int EXAGEOSTAT_ng_transform_lr_Tile_Async(HICMA_desc_t *descZ, HICMA_desc_t *descflag, const double* theta, + HICMA_sequence_t *sequence, HICMA_request_t *request); + +int EXAGEOSTAT_ng_loglike_lr_Tile_Async(HICMA_desc_t *descZ, HICMA_desc_t *descsum, double* theta, + HICMA_sequence_t *sequence, HICMA_request_t *request); +#endif #endif /* _EXAGEOSTATCODELETS_H_ */ diff --git a/exageostat_approx/src/compute/MLE_approx.c b/exageostat_approx/src/compute/MLE_approx.c index 4c52c65..fbba276 100644 --- a/exageostat_approx/src/compute/MLE_approx.c +++ b/exageostat_approx/src/compute/MLE_approx.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,31 +11,31 @@ * * ExaGeoStat exact computation main functions (i.e., generate synthetic dataset, evaluate ML function, and predication). * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2020-06-06 + * @date 2022-11-09 * **/ #include "../include/diag.h" #include "../include/MLE_approx.h" //*************************************************************************************** -void MORSE_MLE_dzvg_diag_Tile (MLE_data *data, double * Nrand, double * initial_theta, int n, int ts, int log) - //! Generate Observations Vector (Z) for testing Maximum - /*! Likelihood function -- MORSE-sync - * Returns Z observation vector - * @param[in] data: MLE_data struct with different MLE inputs. - * @param[in] Nrand: A uniform random vector with size n that is used to generate Z . - * @param[in] initial_theta: Theta vector with three parameter (Variance, Range, Smoothness) - * that is used to to generate the Covariance Matrix. - * @param[in] n: Problem size (number spatial locations). - * @param[in] ts: tile size (MB) is used only in the case of HiCMA not MORSE. - * @param[in] log: equals one if the user needs to generate log files for his problem. - * */ +void EXAGEOSTAT_MLE_dzvg_diag_Tile(MLE_data *data, double* Nrand, double* initial_theta, int n, int ts, int log) +//! Generate Observations Vector (Z) for testing Maximum +/*! Likelihood function -- CHAM-sync + * Returns Z observation vector + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] Nrand: A uniform random vector with size n that is used to generate Z . + * @param[in] initial_theta: Theta vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] n: Problem size (number spatial locations). + * @param[in] ts: tile size (MB) is used only in the case of HiCMA not Chameleon. + * @param[in] log: equals one if the user needs to generate log files for his problem. + * */ { - MORSE_sequence_t *msequence = (MORSE_sequence_t *) data->sequence; - MORSE_request_t *mrequest = (MORSE_request_t *) data->request; + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; double* univariate_theta; double* univariate2_theta; double* univariate3_theta; @@ -43,172 +43,149 @@ void MORSE_MLE_dzvg_diag_Tile (MLE_data *data, double * Nrand, double * initial double rho; double sigma_square12; - //In the case of testing mode, Z should be generated using Nrand and initial_theta - //if (test == 1) - // { //Generate the co-variance matrix C VERBOSE("Initializing Covariance Matrix (Synthetic Dataset Generation Phase - diagonal approximation)....."); - // MORSE_dlaset_Tile(MorseUpperLower, 0, 1, data->descC); - //MORSE_MLE_dcmg_Tile_Async(MorseLower, data->descC, msequence, mrequest, &data->l1, &data->l1, initial_theta, data->dm); - - if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) - { + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { - univariate_theta =(double *) malloc(3 * sizeof(double)); - univariate2_theta =(double *) malloc(3 * sizeof(double)); - univariate3_theta =(double *) malloc(3 * sizeof(double)); - univariate_theta[0]=initial_theta[0]; - univariate_theta[1]=initial_theta[2]; - univariate_theta[2]=initial_theta[3]; + univariate_theta = (double* ) malloc(3 * sizeof(double)); + univariate2_theta = (double* ) malloc(3 * sizeof(double)); + univariate3_theta = (double* ) malloc(3 * sizeof(double)); + univariate_theta[0] = initial_theta[0]; + univariate_theta[1] = initial_theta[2]; + univariate_theta[2] = initial_theta[3]; - MORSE_MLE_dcmg_Tile_Async(MorseUpperLower, data->descsubC11, &data->l1, &data->l1, &data->lm, univariate_theta, data->dm, "univariate_matern_stationary", msequence, &mrequest[0]); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, data->descsubC11, &data->l1, &data->l1, &data->lm, + univariate_theta, data->dm, "univariate_matern_stationary", msequence, + &mrequest[0]); nu12 = 0.5 * (initial_theta[3] + initial_theta[4]); - rho = initial_theta[5] * sqrt( (tgamma(initial_theta[3] + 1)*tgamma(initial_theta[4] + 1)) / - (tgamma(initial_theta[3]) * tgamma(initial_theta[4])) ) * - tgamma(nu12) / tgamma(nu12 + 1); - sigma_square12 = rho * sqrt(initial_theta[0]*initial_theta[1]) ; - - univariate2_theta[0]=sigma_square12; - univariate2_theta[1]=initial_theta[2]; - univariate2_theta[2]=nu12; - - MORSE_MLE_dcmg_Tile_Async(MorseUpperLower, data->descsubC12, &data->l1, &data->l1, &data->lm, univariate2_theta, data->dm, "univariate_matern_stationary", msequence, &mrequest[0]); - - // MORSE_MLE_dcmg_Tile_Async(MorseLower, data->descsubC21, &data->l1, &data->l1, &data->lm, univariate2_theta, data->dm, "univariate_matern_stationary", msequence, &mrequest[0]); - - univariate3_theta[0]=initial_theta[1]; - univariate3_theta[1]=initial_theta[2]; - univariate3_theta[2]=initial_theta[4]; - MORSE_MLE_dcmg_Tile_Async(MorseUpperLower, data->descsubC22, &data->l1, &data->l1, &data->lm, univariate3_theta, data->dm, "univariate_matern_stationary", msequence, &mrequest[0]); - } - else if(strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) - { - MORSE_MLE_dcmg_Tile_Async(MorseLower, data->descC, &data->l1, - &data->l1, &data->lm, initial_theta, - data->dm, "univariate_matern_stationary", msequence, mrequest); - } - - - else - { + rho = initial_theta[5] * sqrt((tgamma(initial_theta[3] + 1) * tgamma(initial_theta[4] + 1)) / + (tgamma(initial_theta[3]) * tgamma(initial_theta[4]))) * + tgamma(nu12) / tgamma(nu12 + 1); + sigma_square12 = rho * sqrt(initial_theta[0] * initial_theta[1]); + + univariate2_theta[0] = sigma_square12; + univariate2_theta[1] = initial_theta[2]; + univariate2_theta[2] = nu12; + + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, data->descsubC12, &data->l1, &data->l1, &data->lm, + univariate2_theta, data->dm, "univariate_matern_stationary", msequence, + &mrequest[0]); + + + univariate3_theta[0] = initial_theta[1]; + univariate3_theta[1] = initial_theta[2]; + univariate3_theta[2] = initial_theta[4]; + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, data->descsubC22, &data->l1, &data->l1, &data->lm, + univariate3_theta, data->dm, "univariate_matern_stationary", msequence, + &mrequest[0]); + } else if (strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) { + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, data->descC, &data->l1, + &data->l1, &data->lm, initial_theta, + data->dm, "univariate_matern_stationary", msequence, mrequest); + } else { printf("%s\n", data->kernel_fun); - MORSE_MLE_dcmg_Tile_Async(MorseLower, data->descC, &data->l1, - &data->l1, &data->lm, initial_theta, - data->dm, data->kernel_fun, msequence, mrequest); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, data->descC, &data->l1, + &data->l1, &data->lm, initial_theta, + data->dm, data->kernel_fun, msequence, mrequest); } - MORSE_Sequence_Wait(msequence); + CHAMELEON_Sequence_Wait(msequence); VERBOSE(" Done.\n"); //Copy Nrand to Z VERBOSE("Generate Normal Random Distribution Vector Z (Synthetic Dataset Generation Phase - diagonal approximation) ....."); - MORSE_MLE_dzcpy_Tile_Async(data->descZ, Nrand, msequence, mrequest); + EXAGEOSTAT_MLE_dzcpy_Tile_Async(data->descZ, Nrand, msequence, mrequest); VERBOSE(" Done.\n"); //Cholesky factorization for the Co-variance matrix C VERBOSE("Cholesky factorization of Sigma (Synthetic Dataset Generation Phase- diagonal approximation) ....."); - int success = MORSE_dpotrf_Tile(MorseLower, data->descC); + int success = CHAMELEON_dpotrf_Tile(ChamLower, data->descC); SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); VERBOSE(" Done.\n"); //Triangular matrix-matrix multiplication VERBOSE("Triangular matrix-matrix multiplication Z=L.e (Synthetic Dataset Generation Phase - diagonal approximation) ....."); - MORSE_dtrmm_Tile(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, data->descC, data->descZ); + CHAMELEON_dtrmm_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, data->descC, data->descZ); VERBOSE(" Done.\n"); //if log==1 write vector to disk - if(log==1) - { - double *z; - MORSE_desc_t *MORSE_descZ = (MORSE_desc_t *)(data->descZ); + if (log == 1) { + double* z; + CHAM_desc_t *CHAMELEON_descZ = (CHAM_desc_t *) (data->descZ); VERBOSE("Writing generated data to the disk (Synthetic Dataset Generation Phase) ....."); #if defined(CHAMELEON_USE_MPI) - z = (double *) malloc(n * sizeof(double)); - MORSE_Tile_to_Lapack( MORSE_descZ, z, n); - if ( MORSE_My_Mpi_Rank() == 0 ) + z = (double* ) malloc(n * sizeof(double)); + CHAMELEON_Tile_to_Lapack( CHAMELEON_descZ, z, n); + if ( CHAMELEON_My_Mpi_Rank() == 0 ) write_vectors(z, data, n); free(z); #else - z = MORSE_descZ->mat; + z = CHAMELEON_descZ->mat; write_vectors(z, data, n); free(z); #endif VERBOSE(" Done.\n"); } - // } - /* else - { - double * streamdata; - streamdata=(double *) malloc(n * sizeof(double)); - - //Reading Observations from disk and copy it to data->descZ - VERBOSE("Reading Observations from disk .....- diagonal approximation"); - streamdata = readObsFile(data->obsFPath, n); - MORSE_MLE_dzcpy_Tile_Async(data->descZ, streamdata, msequence, mrequest); - MORSE_Sequence_Wait(data->sequence); - VERBOSE(" Done.\n"); - free(streamdata); - } - */ - MORSE_dlaset_Tile(MorseUpperLower, 0,0, data->descC); + + CHAMELEON_dlaset_Tile_Async(ChamUpperLower, 0, 0, data->descC, msequence, mrequest); VERBOSE("Done Z Vector Generation Phase. (Chameleon Synchronous- diagonal approximation)\n"); VERBOSE("************************************************************\n"); } -void MORSE_MLE_dzvg_diag_Tile_Async(MLE_data *data, double * Nrand, double * initial_theta, int n, int ts, int log) - //! Generate Observations Vector (Z) for testing Maximum - /*! Likelihood function -- MORSE-Async - * Returns Z observation vector - * @param[in] data: MLE_data struct with different MLE inputs. - * @param[in] Nrand: A uniform random vector with size n that is used to generate Z . - * @param[in] initial_theta: Theta vector with three parameter (Variance, Range, Smoothness) - * that is used to to generate the Covariance Matrix. - * @param[in] n: Problem size (number spatial locations). - * @param[in] ts: tile size (MB) is used only in the case of HiCMA not MORSE. - * @param[in] log: equals one if the user needs to generate log files for his problem. - * */ +void EXAGEOSTAT_MLE_dzvg_diag_Tile_Async(MLE_data *data, double* Nrand, double* initial_theta, int n, int ts, int log) +//! Generate Observations Vector (Z) for testing Maximum +/*! Likelihood function -- CHAMELEON-Async + * Returns Z observation vector + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] Nrand: A uniform random vector with size n that is used to generate Z . + * @param[in] initial_theta: Theta vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] n: Problem size (number spatial locations). + * @param[in] ts: tile size (MB) is used only in the case of HiCMA not CHAMELEON. + * @param[in] log: equals one if the user needs to generate log files for his problem. + * */ { - MORSE_sequence_t *msequence = (MORSE_sequence_t *) data->sequence; - MORSE_request_t *mrequest = (MORSE_request_t *) data->request; - //In the case of testing mode, Z should be generated using Nrand and initial_theta - //if (test ==1) - //{ + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + //Generate the co-variance matrix C VERBOSE("Initializing Covariance Matrix (Synthetic Dataset Generation Phase)....."); - //MORSE_MLE_dcmg_Tile_Async(MorseLower, data->descC, msequence, mrequest, &data->l1, &data->l1, initial_theta, data->dm); - MORSE_MLE_dcmg_Tile_Async(MorseLower, data->descC, &data->l1, &data->l1, &data->lm, initial_theta, data->dm, data->kernel_fun, msequence, mrequest); + //EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, data->descC, msequence, mrequest, &data->l1, &data->l1, initial_theta, data->dm); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, data->descC, &data->l1, &data->l1, &data->lm, initial_theta, data->dm, + data->kernel_fun, msequence, mrequest); VERBOSE(" Done.\n"); //Copy Nrand to Z VERBOSE("Generate Normal Random Distribution Vector Z (Synthetic Dataset Generation Phase) ....."); - MORSE_MLE_dzcpy_Tile_Async(data->descZ, Nrand, msequence, mrequest); + EXAGEOSTAT_MLE_dzcpy_Tile_Async(data->descZ, Nrand, msequence, mrequest); VERBOSE(" Done.\n"); //Cholesky factorization for the Co-variance matrix C VERBOSE("Cholesky factorization of Sigma (Synthetic Dataset Generation Phase) ....."); - int success = MORSE_dpotrf_Tile_Async(MorseLower, data->descC, msequence, mrequest); + int success = CHAMELEON_dpotrf_Tile_Async(ChamLower, data->descC, msequence, mrequest); SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); VERBOSE(" Done.\n"); //Triangular matrix-matrix multiplication VERBOSE("Triangular matrix-matrix multiplication Z=L.e (Synthetic Dataset Generation Phase) ....."); - MORSE_dtrmm_Tile_Async(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, data->descC, data->descZ, msequence, mrequest); + CHAMELEON_dtrmm_Tile_Async(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, data->descC, data->descZ, msequence, + mrequest); VERBOSE(" Done.\n"); //if log == 1 write vector to disk - if(log == 1) - { - double *z; - MORSE_desc_t *MORSE_descZ = (MORSE_desc_t *)(data->descZ); + if (log == 1) { + double* z; + CHAM_desc_t *CHAMELEON_descZ = (CHAM_desc_t *) (data->descZ); #if defined(CHAMELEON_USE_MPI) - z = (double *) malloc(n * sizeof(double)); - MORSE_Tile_to_Lapack( MORSE_descZ, z, n); + z = (double* ) malloc(n * sizeof(double)); + CHAMELEON_Tile_to_Lapack( CHAMELEON_descZ, z, n); #else - z = MORSE_descZ->mat; + z = CHAMELEON_descZ->mat; #endif write_vectors(z, data, n); @@ -216,41 +193,25 @@ void MORSE_MLE_dzvg_diag_Tile_Async(MLE_data *data, double * Nrand, double * in free(z); #endif } - - //} - /* else - { - double * streamdata; - streamdata=(double *) malloc(n * sizeof(double)); - - //Reading Observations from disk and copy it to data->descZ - VERBOSE("Reading Observations from disk ....."); - streamdata = readObsFile(data->obsFPath, n); - MORSE_MLE_dzcpy_Tile_Async(data->descZ, streamdata, msequence, mrequest); - VERBOSE(" Done.\n"); - free(streamdata); - } - */ VERBOSE("Done Z Vector Generation Phase. (Chameleon Asynchronous)\n"); VERBOSE("************************************************************\n"); } - -double MORSE_dmle_diag_Tile(unsigned n, const double * theta, double * grad, void * MORSE_data) { +double EXAGEOSTAT_dmle_diag_Tile(unsigned n, const double* theta, double* grad, void *CHAM_data) { //! Maximum Likelihood Evaluation (MLE) - /*! -- MORSE-sync + /*! -- CHAM-sync * Returns the loglikelihhod value for the given theta. * @param[in] n: unsigned variable used by NLOPT library. * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) * that is used to to generate the Covariance Matrix. * @param[in] grad: double variable used by NLOPT library. - * @param[in] MORSE_data: MLE_data struct with different MLE inputs. + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. * */ //Initialization - double loglik=0.0, logdet=0.0, time_facto = 0.0, time_solve = 0.0, logdet_calculate = 0.0, matrix_gen_time=0.0, dzcpy_time=0.0; + double loglik = 0.0, logdet = 0.0, time_facto = 0.0, time_solve = 0.0, logdet_calculate = 0.0, matrix_gen_time = 0.0, dzcpy_time = 0.0; int N, NRHS, success, diag_thick; - double flops =0.0; + double flops = 0.0; double* univariate_theta; double* univariate2_theta; double* univariate3_theta; @@ -258,231 +219,244 @@ double MORSE_dmle_diag_Tile(unsigned n, const double * theta, double * grad, voi double rho; double sigma_square12; int num_params = 0; - MLE_data* data = ((MLE_data*)MORSE_data); - data->det = 0; - data->dotp = 0; + MLE_data *data = ((MLE_data *) CHAM_data); + data->det = 0; + data->dotp = 0; diag_thick = data->diag_thick; int i = 0; - MORSE_desc_t *MORSE_descC = (MORSE_desc_t *) data->descC; - MORSE_desc_t *MORSE_descsubC11 = (MORSE_desc_t *) data->descsubC11; - MORSE_desc_t *MORSE_descsubC12 = (MORSE_desc_t *) data->descsubC12; - //MORSE_desc_t *MORSE_descsubC21 = (MORSE_desc_t *) data->descsubC21; - MORSE_desc_t *MORSE_descsubC22 = (MORSE_desc_t *) data->descsubC22; - MORSE_desc_t *MORSE_descZ = (MORSE_desc_t *) data->descZ; - MORSE_desc_t *MORSE_descZ1 = (MORSE_desc_t *) data->descZ1; - MORSE_desc_t *MORSE_descZ2 = (MORSE_desc_t *) data->descZ2; - MORSE_desc_t *MORSE_descZcpy = (MORSE_desc_t *) data->descZcpy; - MORSE_desc_t *MORSE_descdet = (MORSE_desc_t *) data->descdet; - MORSE_desc_t *MORSE_descproduct = (MORSE_desc_t *) data->descproduct; - MORSE_desc_t *MORSE_descproduct1 = (MORSE_desc_t *) data->descproduct1; - MORSE_desc_t *MORSE_descproduct2 = (MORSE_desc_t *) data->descproduct2; - MORSE_sequence_t *msequence = (MORSE_sequence_t *) data->sequence; - MORSE_request_t *mrequest = (MORSE_request_t *) data->request; - - if(strcmp(data->kernel_fun, "univariate_matern_stationary") == 0 || strcmp(data->kernel_fun, "univariate_pow_exp_stationary") == 0 ) + CHAM_desc_t *CHAM_descC = (CHAM_desc_t *) data->descC; + CHAM_desc_t *CHAM_descsubC11 = (CHAM_desc_t *) data->descsubC11; + CHAM_desc_t *CHAM_descsubC12 = (CHAM_desc_t *) data->descsubC12; + CHAM_desc_t *CHAM_descsubC22 = (CHAM_desc_t *) data->descsubC22; + CHAM_desc_t *CHAMELEON_descZ = (CHAM_desc_t *) data->descZ; + CHAM_desc_t *CHAMELEON_descZ1 = (CHAM_desc_t *) data->descZ1; + CHAM_desc_t *CHAMELEON_descZ2 = (CHAM_desc_t *) data->descZ2; + CHAM_desc_t *CHAMELEON_descZ3 = (CHAM_desc_t *) data->descZ3; + CHAM_desc_t *CHAMELEON_descZcpy = (CHAM_desc_t *) data->descZcpy; + CHAM_desc_t *CHAM_descdet = (CHAM_desc_t *) data->descdet; + CHAM_desc_t *CHAM_descproduct = (CHAM_desc_t *) data->descproduct; + CHAM_desc_t *CHAM_descproduct1 = (CHAM_desc_t *) data->descproduct1; + CHAM_desc_t *CHAM_descproduct2 = (CHAM_desc_t *) data->descproduct2; + CHAM_desc_t *CHAM_descproduct3 = (CHAM_desc_t *) data->descproduct3; + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + + if (strcmp(data->kernel_fun, "univariate_matern_stationary") == 0 || + strcmp(data->kernel_fun, "univariate_pow_exp_stationary") == 0) num_params = 3; - else if(strcmp(data->kernel_fun, "univariate_matern_nuggets_stationary") == 0) + else if (strcmp(data->kernel_fun, "univariate_matern_nuggets_stationary") == 0) num_params = 4; - else if(strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) + else if (strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) num_params = 9; - else if(strcmp(data->kernel_fun, "bivariate_matern_flexible") == 0) + else if (strcmp(data->kernel_fun, "bivariate_matern_flexible") == 0) num_params = 11; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0) + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0) num_params = 6; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0) + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0) num_params = 6; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) num_params = 6; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) num_params = 6; - else if(strcmp(data->kernel_fun, "univariate_spacetime_matern_stationary") == 0) + else if (strcmp(data->kernel_fun, "univariate_spacetime_matern_stationary") == 0) num_params = 7; - else - { - fprintf(stderr,"Choosen kernel is not exist(2)!\n"); - fprintf(stderr, "Called function is: %s\n",__func__); + else if (strcmp(data->kernel_fun, "univariate_matern_non_gaussian") == 0 || + strcmp(data->kernel_fun, "univariate_exp_non_gaussian") == 0) + num_params = 6; + else if (strcmp(data->kernel_fun, "bivariate_spacetime_matern_stationary") == 0) + num_params = 10; + else if (strcmp(data->kernel_fun, "trivariate_matern_parsimonious") == 0 + || strcmp(data->kernel_fun, "trivariate_matern_parsimonious_profile")) + num_params = 10; + else if (strcmp(data->kernel_fun, "univariate_matern_non_stat") == 0) + num_params = 8; + else { + fprintf(stderr, "Choosen kernel is not exist!\n"); + fprintf(stderr, "Called function is: %s\n", __func__); exit(0); } - - N = MORSE_descC->m; - NRHS = MORSE_descZ->n; + N = CHAM_descC->m; + NRHS = CHAMELEON_descZ->n; START_TIMING(dzcpy_time); - if(data->iter_count==0) + if (data->iter_count == 0) //Save a copy of descZ into descZcpy for restoring each iteration (Only for the first iteration) - MORSE_dlacpy_Tile(MorseUpperLower, MORSE_descZ, MORSE_descZcpy); - else - { + CHAMELEON_dlacpy_Tile(ChamUpperLower, CHAMELEON_descZ, CHAMELEON_descZcpy); + else { VERBOSE("Re-store the original Z vector..."); - MORSE_dlacpy_Tile(MorseUpperLower ,MORSE_descZcpy,MORSE_descZ); + CHAMELEON_dlacpy_Tile(ChamUpperLower, CHAMELEON_descZcpy, CHAMELEON_descZ); VERBOSE(" Done.\n"); } - STOP_TIMING(dzcpy_time); + STOP_TIMING(dzcpy_time); - MORSE_dlaset_Tile(MorseUpperLower, 0, 0, MORSE_descC); + // CHAMELEON_dlaset_Tile_Async(ChamUpperLower, 0, 0, CHAM_descC, msequence, mrequest); //Generate new co-variance matrix C based on new theta VERBOSE("Generate New Covariance Matrix..."); START_TIMING(matrix_gen_time); - if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) - { - printf("TODO: Generate New Covariance Matrix with bivariate_matern_parsimonious2\n"); - return; - - } - - - MORSE_MLE_dcmg_Tile_Async(MorseLower, MORSE_descC, &data->l1, &data->l1, &data->lm, (double *)theta, data->dm, data->kernel_fun, msequence, &mrequest[0]); - - - // MORSE_MLE_dcmg_diag_Tile_Async(MorseLower, MORSE_descC, msequence, &mrequest[0], &data->l1, &data->l1, (double *)theta, data->dm, diag_thick); - MORSE_Sequence_Wait(msequence); + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { + + univariate_theta = (double*) malloc(3 * sizeof(double)); + univariate2_theta = (double*) malloc(3 * sizeof(double)); + univariate3_theta = (double*) malloc(3 * sizeof(double)); + univariate_theta[0] = theta[0]; + univariate_theta[1] = theta[2]; + univariate_theta[2] = theta[3]; + + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, CHAM_descsubC11, &data->l1, + &data->l1, &data->lm, univariate_theta, data->dm, + "univariate_matern_stationary", msequence, &mrequest[0]); + + nu12 = 0.5 * (theta[3] + theta[4]); + + rho = theta[5] * sqrt((tgamma(theta[3] + 1) * tgamma(theta[4] + 1)) / + (tgamma(theta[3]) * tgamma(theta[4]))) * + tgamma(nu12) / tgamma(nu12 + 1); + sigma_square12 = rho * sqrt(theta[0] * theta[1]); + + univariate2_theta[0] = sigma_square12; + univariate2_theta[1] = theta[2]; + univariate2_theta[2] = nu12; + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, CHAM_descsubC12, &data->l1, + &data->l1, &data->lm, univariate2_theta, + data->dm, "univariate_matern_stationary", msequence, &mrequest[0]); + + STOP_TIMING(matrix_gen_time); + VERBOSE(" Done.\n"); + + univariate3_theta[0] = theta[1]; + univariate3_theta[1] = theta[2]; + univariate3_theta[2] = theta[4]; + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, CHAM_descsubC22, &data->l1, + &data->l1, &data->lm, univariate3_theta, + data->dm, "univariate_matern_stationary", msequence, &mrequest[0]); + + } else + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAM_descC, &data->l1, + &data->l1, &data->lm, (double*) theta, data->dm, + data->kernel_fun, msequence, &mrequest[0]); + + CHAMELEON_Sequence_Wait(msequence); STOP_TIMING(matrix_gen_time); VERBOSE(" Done.\n"); - //Calculate Cholesky Factorization (C=LL-1) VERBOSE("Cholesky factorization of Sigma..."); START_TIMING(time_facto); - success = MORSE_dpotrf_diag_Tile(MorseLower, MORSE_descC, diag_thick); + success = CHAM_dpotrf_diag_Tile(ChamLower, CHAM_descC, diag_thick); STOP_TIMING(time_facto); SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); flops = flops + FLOPS_DPOTRF(N); VERBOSE(" Done.\n"); - // double *C = (double *) malloc(N * N * sizeof(double)); - // MORSE_Tile_to_Lapack( data->descC, C, N); - - //double sum=0; - //for(i=0;i log(square(|L|)) VERBOSE("Calculating the log determinant ..."); START_TIMING(logdet_calculate); - MORSE_MLE_dmdet_Tile_Async(MORSE_descC, msequence, &mrequest[0], MORSE_descdet); - MORSE_Sequence_Wait(msequence); - logdet= 2*data->det; + EXAGEOSTAT_MLE_dmdet_Tile_Async(CHAM_descC, msequence, &mrequest[0], CHAM_descdet); + CHAMELEON_Sequence_Wait(msequence); + logdet = 2 * data->det; STOP_TIMING(logdet_calculate); VERBOSE(" Done.\n"); //Solving Linear System (L*X=Z)--->inv(L)*Z VERBOSE("Solving the linear system ...\n"); START_TIMING(time_solve); - MORSE_dtrsm_Tile(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, MORSE_descC, MORSE_descZ); + CHAMELEON_dtrsm_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAM_descC, CHAMELEON_descZ); STOP_TIMING(time_solve); - flops = flops + FLOPS_DTRSM(MorseLeft,N, NRHS); - VERBOSE(" Done.\n"); + flops = flops + FLOPS_DTRSM(ChamLeft, N, NRHS); + VERBOSE(" Done.\n"); //Calculate MLE likelihood VERBOSE("Calculating the MLE likelihood function ..."); - //dotp=0; - //MORSE_MLE_core_ddotp_Async(MORSE_descZ,MORSE_descproduct,msequence, &mrequest[0]); - //MORSE_Sequence_Wait(msequence); - MORSE_dgemm_Tile (MorseTrans, MorseNoTrans, 1, MORSE_descZ, MORSE_descZ, 0, MORSE_descproduct); - - - if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0 ) - { - - loglik = -(N /2) + (N /2)*log (N) -(N / 2 ) * log(data->dotp) - 0.5*logdet - (double) (N / 2.0) * log(2.0 * PI); - MORSE_dgemm_Tile (MorseTrans, MorseNoTrans, 1, MORSE_descZ1, MORSE_descZ1, 0, MORSE_descproduct1); - MORSE_dgemm_Tile (MorseTrans, MorseNoTrans, 1, MORSE_descZ2, MORSE_descZ2, 0, MORSE_descproduct2); - data->variance1 = (1.0/(N/2)) * data->dotp1; - data->variance2 = (1.0/(N/2)) * data->dotp2; - } - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) - { - - loglik = -(N /2) + (N /2)*log (N) -(N / 2 ) * log(data->dotp) - 0.5*logdet - (double) (N / 2.0) * log(2.0 * PI); - - //to be optimized - MORSE_stride_vec_Tile_Async(MORSE_descZ, MORSE_descZ1, MORSE_descZ2, msequence, &mrequest[0]); - //MORSE_Sequence_Wait(msequence); - //double *z = (double *) malloc(N * sizeof(double)); - //MORSE_Tile_to_Lapack( MORSE_descZ, z, N); - //MORSE_Lapack_to_Tile( z, N/2, MORSE_descZ1); - //MORSE_Lapack_to_Tile( &z[N/2], N/2, MORSE_descZ2); - //********************************* - MORSE_dgemm_Tile (MorseTrans, MorseNoTrans, 1, MORSE_descZ1, MORSE_descZ1, 0, MORSE_descproduct1); - MORSE_dgemm_Tile (MorseTrans, MorseNoTrans, 1, MORSE_descZ2, MORSE_descZ2, 0, MORSE_descproduct2); - data->variance1 = (1.0/(N/2)) * data->dotp1; - data->variance2 = (1.0/(N/2)) * data->dotp2; - - - - } - else - { - - loglik = -0.5 * data->dotp - 0.5*logdet - (double) (N / 2.0) * log(2.0 * PI); - data->variance= theta[0]; + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAMELEON_descZ, CHAMELEON_descZ, 0, CHAM_descproduct); + + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { + + loglik = -(N / 2) + (N / 2) * log(N) - (N / 2) * log(data->dotp) - 0.5 * logdet - + (double) (N / 2.0) * log(2.0 * PI); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAMELEON_descZ1, CHAMELEON_descZ1, 0, CHAM_descproduct1); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAMELEON_descZ2, CHAMELEON_descZ2, 0, CHAM_descproduct2); + data->variance1 = (1.0 / (N / 2)) * data->dotp1; + data->variance2 = (1.0 / (N / 2)) * data->dotp2; + } else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) { + + loglik = -(N / 2.0) + (N / 2.0) * log(N / 2.0) - (N / 2.0) * log(data->dotp) - 0.5 * logdet - + (double) (N / 2.0) * log(2.0 * PI); + //to be optimized + EXAGEOSTAT_stride_vec_Tile_Async(CHAMELEON_descZ, CHAMELEON_descZ1, CHAMELEON_descZ2, msequence, &mrequest[0]); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAMELEON_descZ1, CHAMELEON_descZ1, 0, CHAM_descproduct1); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAMELEON_descZ2, CHAMELEON_descZ2, 0, CHAM_descproduct2); + data->variance1 = (1.0 / (N / 2.0)) * data->dotp1; + data->variance2 = (1.0 / (N / 2.0)) * data->dotp2; + + } else if (strcmp(data->kernel_fun, "trivariate_matern_parsimonious_profile") == 0) { + + loglik = -(N / 3.0) + (N / 3.0) * log(N / 3.0) - (N / 3.0) * log(data->dotp) - 0.5 * logdet - + (double) (N / 3.0) * log(2.0 * PI); + //to be optimized + EXAGEOSTAT_tristride_vec_Tile_Async(CHAMELEON_descZ, CHAMELEON_descZ1, CHAMELEON_descZ2, CHAMELEON_descZ3, + msequence, &mrequest[0]); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAMELEON_descZ1, CHAMELEON_descZ1, 0, CHAM_descproduct1); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAMELEON_descZ2, CHAMELEON_descZ2, 0, CHAM_descproduct2); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAMELEON_descZ3, CHAMELEON_descZ3, 0, CHAM_descproduct3); + data->variance1 = (1.0 / (N / 3.0)) * data->dotp1; + data->variance2 = (1.0 / (N / 3.0)) * data->dotp2; + data->variance3 = (1.0 / (N / 3.0)) * data->dotp3; + } else { + loglik = -0.5 * data->dotp - 0.5 * logdet - (double) (N / 2.0) * log(2.0 * PI); + data->variance = theta[0]; } VERBOSE(" Done.\n"); - - //loglik = -0.5 * data->dotp - 0.5*logdet - (double) (N / 2.0) * log(2.0 * PI); - // loglik = -(N /2) + (N /2)*log (N) -(N / 2 ) * log(data->dotp) - 0.5*logdet - (double) (N / 2.0) * log(2.0 * PI); - // VERBOSE(" Done.\n"); - - //multiplicative scale - // data->variance = (1.0/N) * data->dotp; - //data->variance = theta[0]; - //Distribute the values in the case of MPI #if defined(CHAMELEON_USE_MPI) MPI_Bcast(&loglik,1, MPI_DOUBLE, 0, MPI_COMM_WORLD ); // MPI_Bcast(theta,3, MPI_DOUBLE, 0, MPI_COMM_WORLD ); - if(MORSE_My_Mpi_Rank() == 0) + if(CHAMELEON_My_Mpi_Rank() == 0) { #endif - printf(" %3d- Model Parameters (", data->iter_count+1); - - if(data->log == 1) - fprintf(data->pFileLog, " %3d- Model Parameters (", data->iter_count+1); - - if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0 || strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) - { - printf("%.8f, %.8f,", data->variance1, data->variance2); - if(data->log == 1) - fprintf(data->pFileLog,"%.8f, %.8f,", data->variance1, data->variance2); - i = 2; - results.estimated_theta[0] = data->variance1; - results.estimated_theta[1] = data->variance2; - } - else - i=0; - for(;ilog == 1) - fprintf(data->pFileLog,"%.8f, ", theta[i]); - } - - printf(")----> LogLi: %.18f\n", loglik); - if(data->log == 1) - fprintf(data->pFileLog, ")----> LogLi: %.18f\n", loglik); - - - printf(" ---- Facto Time: %6.2f\n", time_facto); - printf(" ---- logdet Time: %6.2f\n", logdet_calculate); - printf(" ---- dtrsm Time: %6.2f\n", time_solve); - printf(" ---- Matrix Generation Time: %6.2f\n", matrix_gen_time); - //fprintf(stderr," ---- re-store Z Vector Time: %6.2f\n", zcpy_time); - printf(" ---- Total Time: %6.2f\n", matrix_gen_time+ time_facto + logdet_calculate + time_solve); - //fprintf(stderr," ---- Gflop (ignore): %6.2f\n", flops / 1e9 ); - printf(" ---- Gflop/s: %6.2f\n", flops / 1e9 / (time_facto + time_solve)); + printf(" %3d- Model Parameters (", data->iter_count + 1); + + if (data->log == 1) + fprintf(data->pFileLog, " %3d- Model Parameters (", data->iter_count + 1); + + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { + printf("%.8f, %.8f,", data->variance1, data->variance2); + if (data->log == 1) + fprintf(data->pFileLog, "%.8f, %.8f,", data->variance1, data->variance2); + i = 2; + } else if (strcmp(data->kernel_fun, "trivariate_matern_parsimonious_profile") == 0) { + printf("%.8f, %.8f, %.8f,", data->variance1, data->variance2, data->variance3); + if (data->log == 1) + fprintf(data->pFileLog, "%.8f, %.8f, %.8f,", data->variance1, data->variance2, data->variance3); + i = 3; + results.estimated_theta[0] = data->variance1; + results.estimated_theta[1] = data->variance2; + results.estimated_theta[2] = data->variance3; + } else + i = 0; + for (; i < num_params; i++) { + printf("%.8f", theta[i]); + if (i < num_params - 1) + printf(","); + + if (data->log == 1) + fprintf(data->pFileLog, "%.8f, ", theta[i]); + } + + printf(")----> LogLi: %.18f\n", loglik); + if (data->log == 1) + fprintf(data->pFileLog, ")----> LogLi: %.18f\n", loglik); + + + printf(" ---- Facto Time: %6.2f\n", time_facto); + printf(" ---- logdet Time: %6.2f\n", logdet_calculate); + printf(" ---- dtrsm Time: %6.2f\n", time_solve); + printf(" ---- Matrix Generation Time: %6.2f\n", matrix_gen_time); + printf(" ---- Total Time: %6.2f\n", matrix_gen_time + time_facto + logdet_calculate + time_solve); + printf(" ---- Gflop/s: %6.2f\n", flops / 1e9 / (time_facto + time_solve)); #if defined(CHAMELEON_USE_MPI) } @@ -490,584 +464,467 @@ double MORSE_dmle_diag_Tile(unsigned n, const double * theta, double * grad, voi data->iter_count++; // for experiments - data->avg_exec_time_per_iter+=/*matrix_gen_time*/+time_facto + logdet_calculate + time_solve; - data->avg_flops_per_iter+=flops / 1e9 / (time_facto +time_solve); - data->final_loglik=loglik; + data->avg_exec_time_per_iter +=/*matrix_gen_time*/+time_facto + logdet_calculate + time_solve; + data->avg_flops_per_iter += flops / 1e9 / (time_facto + time_solve); + data->final_loglik = loglik; //output - results.final_loglik=loglik; + results.final_loglik = loglik; return loglik; } -double MORSE_dmle_diag_Tile_Async(unsigned n, const double * theta, double * grad, void * MORSE_data) { - //! Maximum Likelihood Evaluation (MLE) - /*! -- MORSE-Async - * Returns the loglikelihhod value for the given theta. - * @param[in] n: unsigned variable used by NLOPT library. - * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) - * that is used to to generate the Covariance Matrix. - * @param[in] grad: double variable used by NLOPT library. - * @param[in] MORSE_data: MLE_data struct with different MLE inputs. - * */ - //Initialization - double loglik=0.0, logdet=0.0, time_facto = 0.0, time_solve = 0.0, logdet_calculate = 0.0, matrix_gen_time=0.0, dzcpy_time=0.0, flops = 0.0; - int N, NRHS, success, diag_thick; - - MLE_data* data = ((MLE_data*)MORSE_data); - data->det = 0; - data->dotp = 0; - diag_thick = data->diag_thick; - MORSE_desc_t *MORSE_descC = (MORSE_desc_t *) data->descC; - MORSE_desc_t *MORSE_descZ = (MORSE_desc_t *) data->descZ; - MORSE_desc_t *MORSE_descZcpy = (MORSE_desc_t *) data->descZcpy; - MORSE_desc_t *MORSE_descdet = (MORSE_desc_t *) data->descdet; - MORSE_desc_t *MORSE_descproduct = (MORSE_desc_t *) data->descproduct; - MORSE_sequence_t *msequence = (MORSE_sequence_t *) data->sequence; - MORSE_request_t *mrequest = (MORSE_request_t *) data->request; - - N = MORSE_descC->m; - NRHS = MORSE_descZ->n; - START_TIMING(dzcpy_time); - if(data->iter_count == 0) - //Save a copy of descZ into descZcpy for restoring each iteration (Only for the first iteration) - MORSE_dlacpy_Tile_Async(MorseUpperLower, MORSE_descZ, MORSE_descZcpy, msequence, mrequest); - else - { - VERBOSE("re-store the original Z vector..."); - MORSE_dlacpy_Tile_Async(MorseUpperLower, MORSE_descZcpy, MORSE_descZ, msequence, mrequest); - VERBOSE(" Done.\n"); - } - STOP_TIMING(dzcpy_time); - - - //Generate new co-variance matrix C based on new theta - VERBOSE("Generate New Covariance Matrix..."); - START_TIMING(matrix_gen_time); - // MORSE_MLE_dcmg_diag_Tile_Async(MorseLower, MORSE_descC, msequence, mrequest, &data->l1, &data->l1,(double*) theta, data->dm, diag_thick); - MORSE_MLE_dcmg_diag_Tile_Async(MorseLower, MORSE_descC, &data->l1, &data->l1, &data->lm, (double *)theta, data->dm, data->kernel_fun, diag_thick, msequence, &mrequest[0]); - - - STOP_TIMING(matrix_gen_time); - VERBOSE(" Done.\n"); - MORSE_Sequence_Wait(msequence); - - //Calculate Cholesky Factorization (C=LL-1) - VERBOSE("Cholesky factorization of Sigma..."); - START_TIMING(time_facto); - success = MORSE_dpotrf_diag_Tile_Async(MorseLower, MORSE_descC, diag_thick, msequence, mrequest); - STOP_TIMING(time_facto); - SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); - flops = flops + FLOPS_DPOTRF(N); - VERBOSE(" Done.\n"); - - //Calculate log(|C|) --> log(square(|L|)) - VERBOSE("Calculating the log determinant ..."); - START_TIMING(logdet_calculate); - MORSE_MLE_dmdet_Tile_Async(MORSE_descC, msequence, &mrequest[0],MORSE_descdet); - MORSE_Sequence_Wait(msequence); - logdet= 2*data->det; - STOP_TIMING(logdet_calculate); - VERBOSE(" Done.\n"); - - //Solving Linear System (L*X=Z)--->inv(L)*Z - VERBOSE("Solving the linear system ...\n"); - START_TIMING(time_solve); - MORSE_dtrsm_Tile_Async(MorseLeft,MorseLower,MorseNoTrans,MorseNonUnit,1,MORSE_descC,MORSE_descZ, msequence, mrequest); - STOP_TIMING(time_solve); - flops = flops + FLOPS_DTRSM(MorseLeft,N, NRHS); - VERBOSE(" Done.\n"); - - //Claculate MLE likelihood - VERBOSE("Calculating the MLE likelihood function ..."); - MORSE_dgemm_Tile_Async (MorseTrans, MorseNoTrans, 1, MORSE_descZ, MORSE_descZ, 0, MORSE_descproduct, msequence, mrequest); - loglik = -0.5 * data->dotp - 0.5*logdet - (double) (N / 2.0) * log(2.0 * PI); - VERBOSE(" Done.\n"); - - //Distribute the values in the case of MPI +double EXAGEOSTAT_dmle_diag_Tile_Async(unsigned n, const double* theta, double* grad, void *CHAM_data) { + //! Maximum Likelihood Evaluation (MLE) + /*! -- CHAMELEON-Async + * Returns the loglikelihhod value for the given theta. + * @param[in] n: unsigned variable used by NLOPT library. + * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] grad: double variable used by NLOPT library. + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. + * */ + //Initialization + double loglik = 0.0, logdet = 0.0, time_facto = 0.0, time_solve = 0.0, logdet_calculate = 0.0, matrix_gen_time = 0.0, dzcpy_time = 0.0, flops = 0.0; + int N, NRHS, success, diag_thick; + + MLE_data *data = ((MLE_data *) CHAM_data); + data->det = 0; + data->dotp = 0; + diag_thick = data->diag_thick; + CHAM_desc_t *CHAM_descC = (CHAM_desc_t *) data->descC; + CHAM_desc_t *CHAMELEON_descZ = (CHAM_desc_t *) data->descZ; + CHAM_desc_t *CHAMELEON_descZcpy = (CHAM_desc_t *) data->descZcpy; + CHAM_desc_t *CHAM_descdet = (CHAM_desc_t *) data->descdet; + CHAM_desc_t *CHAM_descproduct = (CHAM_desc_t *) data->descproduct; + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + + N = CHAM_descC->m; + NRHS = CHAMELEON_descZ->n; + START_TIMING(dzcpy_time); + if (data->iter_count == 0) + //Save a copy of descZ into descZcpy for restoring each iteration (Only for the first iteration) + CHAMELEON_dlacpy_Tile_Async(ChamUpperLower, CHAMELEON_descZ, CHAMELEON_descZcpy, msequence, mrequest); + else { + VERBOSE("re-store the original Z vector..."); + CHAMELEON_dlacpy_Tile_Async(ChamUpperLower, CHAMELEON_descZcpy, CHAMELEON_descZ, msequence, mrequest); + VERBOSE(" Done.\n"); + } + STOP_TIMING(dzcpy_time); + + + //Generate new co-variance matrix C based on new theta + VERBOSE("Generate New Covariance Matrix..."); + START_TIMING(matrix_gen_time); + CHAM_MLE_dcmg_diag_Tile_Async(ChamLower, CHAM_descC, &data->l1, &data->l1, &data->lm, (double* ) theta, data->dm, + data->kernel_fun, diag_thick, msequence, &mrequest[0]); + + + STOP_TIMING(matrix_gen_time); + VERBOSE(" Done.\n"); + CHAMELEON_Sequence_Wait(msequence); + + //Calculate Cholesky Factorization (C=LL-1) + VERBOSE("Cholesky factorization of Sigma..."); + START_TIMING(time_facto); + success = CHAM_dpotrf_diag_Tile_Async(ChamLower, CHAM_descC, diag_thick, msequence, mrequest); + STOP_TIMING(time_facto); + SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); + flops = flops + FLOPS_DPOTRF(N); + VERBOSE(" Done.\n"); + + //Calculate log(|C|) --> log(square(|L|)) + VERBOSE("Calculating the log determinant ..."); + START_TIMING(logdet_calculate); + EXAGEOSTAT_MLE_dmdet_Tile_Async(CHAM_descC, msequence, &mrequest[0], CHAM_descdet); + CHAMELEON_Sequence_Wait(msequence); + logdet = 2 * data->det; + STOP_TIMING(logdet_calculate); + VERBOSE(" Done.\n"); + + //Solving Linear System (L*X=Z)--->inv(L)*Z + VERBOSE("Solving the linear system ...\n"); + START_TIMING(time_solve); + CHAMELEON_dtrsm_Tile_Async(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAM_descC, CHAMELEON_descZ, msequence, + mrequest); + STOP_TIMING(time_solve); + flops = flops + FLOPS_DTRSM(ChamLeft, N, NRHS); + VERBOSE(" Done.\n"); + + //Claculate MLE likelihood + VERBOSE("Calculating the MLE likelihood function ..."); + void *ws; + CHAMELEON_dgemm_Tile_Async(ChamTrans, ChamNoTrans, 1, CHAMELEON_descZ, CHAMELEON_descZ, 0, CHAM_descproduct, &ws, + msequence, mrequest); + loglik = -0.5 * data->dotp - 0.5 * logdet - (double) (N / 2.0) * log(2.0 * PI); + VERBOSE(" Done.\n"); + + //Distribute the values in the case of MPI #if defined(CHAMELEON_USE_MPI) - MPI_Bcast(&loglik,1, MPI_DOUBLE, 0, MPI_COMM_WORLD ); - MPI_Bcast(theta,3, MPI_DOUBLE, 0, MPI_COMM_WORLD ); - if(MORSE_My_Mpi_Rank() == 0) - { + MPI_Bcast(&loglik,1, MPI_DOUBLE, 0, MPI_COMM_WORLD ); + MPI_Bcast(theta,3, MPI_DOUBLE, 0, MPI_COMM_WORLD ); + if(CHAMELEON_My_Mpi_Rank() == 0) + { #endif - //Print Iteration Summary - //fprintf(stderr,"***************************************************\n"); - //fprintf(stderr,"------ddotproduct: %2.6f ", data->dotp); - //fprintf(stderr,"------logdet: %2.6f ", logdet); - //fprintf(stderr,"------det: %.*e ", det); - //fprintf(stderr,"------expr2: %2.6f ",((double) (N / 2) * log(2 * PI))); - //fprintf(stderr," ---- Theta1: %2.6f ---- Theta2: %2.6f ---- Theta3: %2.6f ----LogLi: %2.6f\n", theta[0], theta[1], theta[2],loglik); - //reformat - fprintf(stderr," %3d- Model Parameters (variance, range, smoothness): (%2.6f, %2.6f, %2.6f) ----> LogLi: %2.6f\n", data->iter_count+1, theta[0], theta[1], theta[2],loglik); - - if(data->log == 1) - fprintf(data->pFileLog, " %3d- Model Parameters (variance, range, smoothness): (%2.6f, %2.6f, %2.6f) ----> LogLi: %2.6f\n", data->iter_count+1, theta[0], theta[1], theta[2],loglik); - - //fprintf(stderr," ---- Facto Time: %6.2f\n", time_facto); - //fprintf(stderr," ---- logdet Time: %6.2f\n", logdet_calculate); - //fprintf(stderr," ---- dtrsm Time: %6.2f\n", time_solve); - //fprintf(stderr," ---- Matrix Generation Time: %6.2f\n", matrix_gen_time); - //fprintf(stderr," ---- re-store Z Vector Time: %6.2f\n", dzcpy_time); - //fprintf(stderr," ---- Total Time: %6.2f\n", matrix_gen_time+time_facto + logdet_calculate + time_solve); - //fprintf(stderr," ---- Gflop (ignore): %6.2f\n", flops / 1e9 ); - //fprintf(stderr," ---- Gflop/s: %6.2f\n", flops / 1e9 / (time_facto + time_solve)); - //fprintf(stderr," ---- Peak Performance: %6.2f Gflops/s\n", (ncores*p_grid*q_grid*16*2.3) ); - //fprintf(stderr,"***************************************************\n"); + fprintf(stderr, " %3d- Model Parameters (variance, range, smoothness): (%2.6f, %2.6f, %2.6f) ----> LogLi: %2.6f\n", + data->iter_count + 1, theta[0], theta[1], theta[2], loglik); + + if (data->log == 1) + fprintf(data->pFileLog, + " %3d- Model Parameters (variance, range, smoothness): (%2.6f, %2.6f, %2.6f) ----> LogLi: %2.6f\n", + data->iter_count + 1, theta[0], theta[1], theta[2], loglik); + #if defined(CHAMELEON_USE_MPI) - } + } #endif - data->iter_count++; - // for experiments - data->avg_exec_time_per_iter+=matrix_gen_time+time_facto + logdet_calculate + time_solve; - data->avg_flops_per_iter+=flops / 1e9 / (time_facto +time_solve); - data->final_loglik=loglik; + data->iter_count++; + // for experiments + data->avg_exec_time_per_iter += matrix_gen_time + time_facto + logdet_calculate + time_solve; + data->avg_flops_per_iter += flops / 1e9 / (time_facto + time_solve); + data->final_loglik = loglik; - return loglik; + return loglik; } -/* - void MORSE_MLE_diag_Predict_Allocate(MLE_data *MORSE_data, int nZmiss, int nZobs, int dts, int p_grid, int q_grid, int mse_flag) - { - - MORSE_desc_t *MORSE_descZmiss = NULL; - MORSE_desc_t *MORSE_descC12 = NULL; - MORSE_desc_t *MORSE_descC22 = NULL; - MORSE_desc_t *MORSE_descmse = NULL; - MORSE_desc_t *MORSE_descZactual = NULL; - MORSE_desc_t *MORSE_descZobs = NULL; - MLE_data *data = (MLE_data*) MORSE_data; - - if(nZmiss <= 0) - { - fprintf(stderr," Number of missing values should be positive value\n"); - return -1; - } -//Descriptors Creation -EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZobs, NULL, MorseRealDouble, dts, dts, dts * dts, nZobs, 1, 0, 0, nZobs, 1, p_grid, q_grid); -if( mse_flag == 1) -{ -EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZactual, NULL, MorseRealDouble, dts, dts, dts * dts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); -EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descmse, &data->mserror, MorseRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, p_grid, q_grid); -} -EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZmiss, NULL, MorseRealDouble, dts, dts, dts * dts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); -EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC12, NULL, MorseRealDouble, dts, dts, dts * dts, nZmiss, nZobs, 0, 0, nZmiss, nZobs, p_grid, q_grid); -EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC22, NULL, MorseRealDouble, dts, dts, dts * dts, nZobs, nZobs, 0, 0, nZobs, nZobs, p_grid, q_grid); - -//Initiate data descriptors -data->descZmiss = MORSE_descZmiss; -data->descC12 = MORSE_descC12; -data->descC22 = MORSE_descC22; -data->descmse = MORSE_descmse; -data->descZactual = MORSE_descZactual; -data->descZobs = MORSE_descZobs; -} -*/ -double MORSE_dmle_diag_Predict_Tile(MLE_data *MORSE_data, double * theta, int nZmiss, int nZobs, double *Zobs, double *Zactual, double *Zmiss, int n) - //! //Predict missing values base on a set of given values and covariance matrix - /*! -- MORSE-sync - * Returns the prediction Mean Square Error (MSE) as double - * @param[in] MORSE_data: MLE_data struct with different MLE inputs. - * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) - * that is used to to generate the Covariance Matrix. - * @param[in] nZmiss: number of missing values (unknown observations). - * @param[in] nZobs: number of observed values (known observations). - * @param[in] n: number of spatial locations. - * */ +double EXAGEOSTAT_dmle_diag_Predict_Tile(MLE_data *CHAM_data, double* theta, int nZmiss, int nZobs, double* Zobs, + double* Zactual, double* Zmiss, int n) + //! //Predict missing values base on a set of given values and covariance matrix + /*! -- CHAMELEON-sync + * Returns the prediction Mean Square Error (MSE) as double + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. + * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] nZmiss: number of missing values (unknown observations). + * @param[in] nZobs: number of observed values (known observations). + * @param[in] n: number of spatial locations. + * */ { - //initialization - //double *z = NULL, - //double *streamdata = NULL; - double time_solve = 0.0; - double time_gemm = 0.0; - double mat_gen_time = 0.0; - double time_mse = 0.0; - double flops = 0.0; - - MORSE_desc_t *MORSE_descZmiss = NULL; - MORSE_desc_t *MORSE_descC12 = NULL; - MORSE_desc_t *MORSE_descC22 = NULL; - MORSE_desc_t *MORSE_descmse = NULL; - MORSE_desc_t *MORSE_descZactual = NULL; - MORSE_desc_t *MORSE_descZobs = NULL; - MLE_data *data = (MLE_data*) MORSE_data; - MORSE_sequence_t *msequence = (MORSE_sequence_t *) data->sequence; - MORSE_request_t *mrequest = (MORSE_request_t *) data->request; - data->mserror = 0; - - if(nZmiss <= 0) - { - fprintf(stderr," Number of missing values should be positive value\n"); - return -1; - } - - //Descriptors Creation - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZobs, NULL, MorseRealDouble, dts, dts, dts * dts, nZobs, 1, 0, 0, nZobs, 1, p_grid, q_grid); - //if( Zactual != NULL) - //{ - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZactual, NULL, MorseRealDouble, dts, dts, dts * dts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descmse, &data->mserror, MorseRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, p_grid, q_grid); - // } - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZmiss, NULL, MorseRealDouble, dts, dts, dts * dts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - //EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC12, NULL, MorseRealDouble, dts, dts, dts * dts, nZmiss, nZobs, 0, 0, nZmiss, nZobs, p_grid, q_grid); - //EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC22, NULL, MorseRealDouble, dts, dts, dts * dts, nZobs, nZobs, 0, 0, nZobs, nZobs, p_grid, q_grid); - - - //Initiate data descriptors - MORSE_descZmiss = data->descZmiss; - MORSE_descC12 = data->descC12; - MORSE_descC22 = data->descC22; - MORSE_descmse = data->descmse; - MORSE_descZactual = data->descZactual; - MORSE_descZobs = data->descZobs; - - int diag_thick = data->diag_thick; - - - MORSE_dlaset_Tile(MorseUpperLower, 0,0, MORSE_descC12); - MORSE_dlaset_Tile(MorseUpperLower, 0,0, MORSE_descC22); - - //Copy data to vectors - VERBOSE("Copy measurments vector to descZobs descriptor..."); - //MORSE_MLE_dzcpy_Tile_Async(MORSE_descZobs, Zobs, msequence, mrequest); - MORSE_Lapack_to_Tile( Zobs, nZobs, MORSE_descZobs); - VERBOSE(" Done.\n"); - - if( Zactual != NULL) - { - VERBOSE("Copy actual measurments vector to descZactual descriptor..."); - //MORSE_MLE_dzcpy_Tile_Async(MORSE_descZactual, Zactual, msequence, mrequest); - MORSE_Lapack_to_Tile( Zactual, nZmiss, MORSE_descZactual); - VERBOSE(" Done.\n"); - } - - MORSE_Sequence_Wait(msequence); - - - // int i=0; - // for (i=0;ilmiss.x[i], data->lmiss.y[i], Zactual[i]); - - //printf("\n\n"); - - // for (i=0;i<100;i++) - // printf("%f, %f, %f\n", data->lobs.x[i], data->lobs.y[i], Zobs[i]); + //initialization + double time_solve = 0.0; + double time_gemm = 0.0; + double mat_gen_time = 0.0; + double time_mse = 0.0; + double flops = 0.0; + + CHAM_desc_t *CHAMELEON_descZmiss = NULL; + CHAM_desc_t *CHAM_descC12 = NULL; + CHAM_desc_t *CHAM_descC22 = NULL; + CHAM_desc_t *CHAM_descmse = NULL; + CHAM_desc_t *CHAMELEON_descZactual = NULL; + CHAM_desc_t *CHAMELEON_descZobs = NULL; + MLE_data *data = (MLE_data *) CHAM_data; + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + data->mserror = 0; + + if (nZmiss <= 0) { + fprintf(stderr, " Number of missing values should be positive value\n"); + return -1; + } + + //Initiate data descriptors + CHAMELEON_descZmiss = data->descZmiss; + CHAM_descC12 = data->descC12; + CHAM_descC22 = data->descC22; + CHAM_descmse = data->descmse; + CHAMELEON_descZactual = data->descZactual; + CHAMELEON_descZobs = data->descZobs; + + int diag_thick = data->diag_thick; + + + CHAMELEON_dlaset_Tile_Async(ChamUpperLower, 0, 0, CHAM_descC12, msequence, mrequest); + CHAMELEON_dlaset_Tile_Async(ChamUpperLower, 0, 0, CHAM_descC22, msequence, mrequest); + + //Copy data to vectors + VERBOSE("Copy measurments vector to descZobs descriptor..."); + CHAMELEON_Lapack_to_Tile(Zobs, nZobs, CHAMELEON_descZobs); + VERBOSE(" Done.\n"); + + if (Zactual != NULL) { + VERBOSE("Copy actual measurments vector to descZactual descriptor..."); + //EXAGEOSTAT_MLE_dzcpy_Tile_Async(CHAMELEON_descZactual, Zactual, msequence, mrequest); + CHAMELEON_Lapack_to_Tile(Zactual, nZmiss, CHAMELEON_descZactual); + VERBOSE(" Done.\n"); + } + + CHAMELEON_Sequence_Wait(msequence); #if defined(CHAMELEON_USE_MPI) - MPI_Bcast(&data->variance,1, MPI_DOUBLE, 0, MPI_COMM_WORLD ); + MPI_Bcast(&data->variance,1, MPI_DOUBLE, 0, MPI_COMM_WORLD ); #endif - theta[0]=data->variance; - printf("estimated parameters: %f - %f - %f\n", theta[0], theta[1], theta[2]); - - - START_TIMING(mat_gen_time); - //Generate C22 covariance matrix - VERBOSE("Generate C22 Covariance Matrix... (Prediction Stage)"); - //MORSE_MLE_dcmg_diag_Tile_Async(MorseLower, MORSE_descC22, msequence, mrequest, &data->lobs, &data->lobs, theta, data->dm, data->diag_thick); - - MORSE_MLE_dcmg_diag_Tile_Async(MorseLower, MORSE_descC22, &data->lobs, &data->lobs, &data->lm, theta, data->dm, data->kernel_fun, data->diag_thick, msequence, mrequest); - - - MORSE_Sequence_Wait(msequence); - //flops = flops + FLOPS_DPOTRF(nZobs); - VERBOSE(" Done.\n"); - - - //Generate C12 covariance matrix - VERBOSE("Generate C12 Covariance Matrix... (Prediction Stage)"); - // MORSE_MLE_dcmg_diag_Tile_Async(MorseLower, MORSE_descC12, msequence, mrequest, &data->lmiss, &data->lobs, theta, data->dm, data->diag_thick); - - MORSE_MLE_dcmg_diag_Tile_Async(MorseLower, MORSE_descC22, &data->lmiss, &data->lobs, &data->lm, theta, data->dm, data->kernel_fun, diag_thick, msequence, mrequest); - - //flops = flops + FLOPS_DPOTRF(nZmiss); - MORSE_Sequence_Wait(msequence); - VERBOSE(" Done.\n"); - STOP_TIMING(mat_gen_time); - - - START_TIMING(time_solve); - //Start prediction - VERBOSE("Calculate dposv C22 Covariance Matrix... (Prediction Stage)"); - //MORSE_dposv_Tile(MorseLower, MORSE_descC22, MORSE_descZobs); - MORSE_dpotrf_diag_Tile(MorseLower, MORSE_descC22, diag_thick); - MORSE_dtrsm_Tile(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, MORSE_descC22, MORSE_descZobs); - MORSE_dtrsm_Tile(MorseLeft, MorseLower, MorseTrans, MorseNonUnit, 1, MORSE_descC22, MORSE_descZobs); - flops = flops + FLOPS_DPOTRF(nZobs); - flops = flops + FLOPS_DTRSM(MorseLeft, nZobs, nZobs); - STOP_TIMING(time_solve); - - - START_TIMING(time_gemm); - VERBOSE("Calculate dgemm Zmiss= C12 * Zobs Covariance Matrix... (Prediction Stage)"); - MORSE_dgemm_Tile (MorseNoTrans, MorseNoTrans, 1, MORSE_descC12, MORSE_descZobs, 0, MORSE_descZmiss); - flops = flops + FLOPS_DGEMM(nZmiss, nZobs, nZobs); - VERBOSE(" Done.\n"); - STOP_TIMING(time_gemm); - - //return back descZmiss to zmiss vector - MORSE_Tile_to_Lapack( MORSE_descZmiss, Zmiss, nZmiss); - - //Estimate Mean Square Error - if( Zactual != NULL) - { - START_TIMING(time_mse); - VERBOSE("Calculate Mean Square Error (MSE) ... (Prediction Stage) \n"); - MORSE_MLE_dmse_Tile_Async(MORSE_descZactual, MORSE_descZmiss, MORSE_descmse, msequence, mrequest); - VERBOSE(" Done.\n"); - MORSE_Sequence_Wait(msequence); - STOP_TIMING(time_mse); - data->mserror /= nZmiss; - } - else - data->mserror = -1; + theta[0] = data->variance; + printf("estimated parameters: %f - %f - %f\n", theta[0], theta[1], theta[2]); + + + START_TIMING(mat_gen_time); + //Generate C22 covariance matrix + VERBOSE("Generate C22 Covariance Matrix... (Prediction Stage)"); + CHAM_MLE_dcmg_diag_Tile_Async(ChamLower, CHAM_descC22, &data->lobs, &data->lobs, &data->lm, theta, data->dm, + data->kernel_fun, data->diag_thick, msequence, mrequest); + + CHAMELEON_Sequence_Wait(msequence); + VERBOSE(" Done.\n"); + + //Generate C12 covariance matrix + VERBOSE("Generate C12 Covariance Matrix... (Prediction Stage)"); + + CHAM_MLE_dcmg_diag_Tile_Async(ChamLower, CHAM_descC22, &data->lmiss, &data->lobs, &data->lm, theta, data->dm, + data->kernel_fun, diag_thick, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); + VERBOSE(" Done.\n"); + STOP_TIMING(mat_gen_time); + + + START_TIMING(time_solve); + //Start prediction + VERBOSE("Calculate dposv C22 Covariance Matrix... (Prediction Stage)"); + CHAM_dpotrf_diag_Tile(ChamLower, CHAM_descC22, diag_thick); + CHAMELEON_dtrsm_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAM_descC22, CHAMELEON_descZobs); + CHAMELEON_dtrsm_Tile(ChamLeft, ChamLower, ChamTrans, ChamNonUnit, 1, CHAM_descC22, CHAMELEON_descZobs); + flops = flops + FLOPS_DPOTRF(nZobs); + flops = flops + FLOPS_DTRSM(ChamLeft, nZobs, nZobs); + STOP_TIMING(time_solve); + + + START_TIMING(time_gemm); + VERBOSE("Calculate dgemm Zmiss= C12 * Zobs Covariance Matrix... (Prediction Stage)"); + CHAMELEON_dgemm_Tile(ChamNoTrans, ChamNoTrans, 1, CHAM_descC12, CHAMELEON_descZobs, 0, CHAMELEON_descZmiss); + flops = flops + FLOPS_DGEMM(nZmiss, nZobs, nZobs); + VERBOSE(" Done.\n"); + STOP_TIMING(time_gemm); + + //return back descZmiss to zmiss vector + CHAMELEON_Tile_to_Lapack(CHAMELEON_descZmiss, Zmiss, nZmiss); + + //Estimate Mean Square Error + if (Zactual != NULL) { + START_TIMING(time_mse); + VERBOSE("Calculate Mean Square Error (MSE) ... (Prediction Stage) \n"); + EXAGEOSTAT_MLE_dmse_Tile_Async(CHAMELEON_descZactual, CHAMELEON_descZmiss, CHAM_descmse, msequence, mrequest); + VERBOSE(" Done.\n"); + CHAMELEON_Sequence_Wait(msequence); + STOP_TIMING(time_mse); + data->mserror /= nZmiss; + } else + data->mserror = -1; #if defined(CHAMELEON_USE_MPI) - if(MORSE_My_Mpi_Rank() == 0) - { + if(CHAMELEON_My_Mpi_Rank() == 0) + { #endif - if(data->log == 1) - fprintf(data->pFileLog, "\n\n# of missing observations :%d\n\nPrediction Execution Time: %2.6f, Flops: %2.6f, Mean Square Error (MSE): %2.6f\n\n", nZmiss, (mat_gen_time+time_solve+time_mse), (flops / 1e9 / (time_solve)), data->mserror ); + if (data->log == 1) + fprintf(data->pFileLog, + "\n\n# of missing observations :%d\n\nPrediction Execution Time: %2.6f, Flops: %2.6f, Mean Square Error (MSE): %2.6f\n\n", + nZmiss, (mat_gen_time + time_solve + time_mse), (flops / 1e9 / (time_solve)), data->mserror); - write_prediction_result("predict_result.dat", n, diag_thick, 0, 0, data->mserror, (mat_gen_time+time_solve+ time_gemm), (flops / 1e9 / (time_solve))); + write_prediction_result("predict_result.dat", n, diag_thick, 0, 0, 0, data->mserror, + (mat_gen_time + time_solve + time_gemm), (flops / 1e9 / (time_solve))); #if defined(CHAMELEON_USE_MPI) - } + } #endif - - return data->mserror; - - + return data->mserror; } - -double MORSE_dmle_Predict_diag_Tile_Async(MLE_data *MORSE_data, double * theta, int nZmiss, int nZobs, int n) - //! //Predict missing values base on a set of given values and covariance matrix - /*! -- MORSE-Async - * Returns the prediction Mean Square Error (MSE) as double - * @param[in] MORSE_data: MLE_data struct with different MLE inputs. - * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) - * that is used to to generate the Covariance Matrix. - * @param[in] nZmiss: number of missing values (unknown observations). - * @param[in] nZobs: number of observed values (known observations). - * @param[in] n: number of spatial locations. - * */ +double CHAMELEON_dmle_Predict_diag_Tile_Async(MLE_data *CHAM_data, double* theta, int nZmiss, int nZobs, int n) + //! //Predict missing values base on a set of given values and covariance matrix + /*! -- CHAMELEON-Async + * Returns the prediction Mean Square Error (MSE) as double + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. + * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] nZmiss: number of missing values (unknown observations). + * @param[in] nZobs: number of observed values (known observations). + * @param[in] n: number of spatial locations. + * */ { - //initialization - location *l1 = NULL, *l2 = NULL; - location temp_loc; - double *streamdata = NULL; - double mat_gen_time = 0.0; - double time_solve = 0.0; - double time_mse = 0.0; - double flops = 0.0; - MLE_data * data = (MLE_data*)MORSE_data; - MORSE_desc_t *MORSE_descZ = (MORSE_desc_t *)(data->descZcpy); - MORSE_desc_t *MORSE_descZobs = (MORSE_desc_t *)(data->descZobs); - MORSE_desc_t *MORSE_descZactual = (MORSE_desc_t *)(data->descZactual); - MORSE_desc_t *MORSE_descZmiss = (MORSE_desc_t *)(data->descZmiss); - MORSE_desc_t *MORSE_descC12 = (MORSE_desc_t *)(data->descC12); - MORSE_desc_t *MORSE_descC22 = (MORSE_desc_t *)(data->descC22); - MORSE_desc_t *MORSE_descmse = (MORSE_desc_t *)(data->descmse); - MORSE_sequence_t *msequence = (MORSE_sequence_t *)(data->sequence); - MORSE_request_t *mrequest = (MORSE_request_t *)data->request; - - if(strcmp(data->actualZFPath,"")==0) - { - double *z = NULL; + //initialization + location *l1 = NULL, *l2 = NULL; + location temp_loc; + double* streamdata = NULL; + double mat_gen_time = 0.0; + double time_solve = 0.0; + double time_mse = 0.0; + double flops = 0.0; + MLE_data *data = (MLE_data *) CHAM_data; + CHAM_desc_t *CHAMELEON_descZ = (CHAM_desc_t *) (data->descZcpy); + CHAM_desc_t *CHAMELEON_descZobs = (CHAM_desc_t *) (data->descZobs); + CHAM_desc_t *CHAMELEON_descZactual = (CHAM_desc_t *) (data->descZactual); + CHAM_desc_t *CHAMELEON_descZmiss = (CHAM_desc_t *) (data->descZmiss); + CHAM_desc_t *CHAM_descC12 = (CHAM_desc_t *) (data->descC12); + CHAM_desc_t *CHAM_descC22 = (CHAM_desc_t *) (data->descC22); + CHAM_desc_t *CHAM_descmse = (CHAM_desc_t *) (data->descmse); + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) (data->sequence); + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + + if (strcmp(data->actualZFPath, "") == 0) { + double* z = NULL; #if defined(CHAMELEON_USE_MPI) - z = (double *) malloc(n * sizeof(double)); - MORSE_Tile_to_Lapack( MORSE_descZ, z, n); + z = (double* ) malloc(n * sizeof(double)); + CHAMELEON_Tile_to_Lapack( CHAMELEON_descZ, z, n); #else - z = MORSE_descZ->mat; + z = CHAMELEON_descZ->mat; #endif - //random shuffle - shuffle(z, &data->l1, n); + shuffle(z, &data->l1, n); #if defined(CHAMELEON_USE_MPI) - MORSE_Lapack_to_Tile( z, n, MORSE_descZ); + CHAMELEON_Lapack_to_Tile( z, n, CHAMELEON_descZ); #endif - l1 = &data->l1; - temp_loc.x=&l1->x[nZmiss]; - temp_loc.y=&l1->y[nZmiss]; - l2 = &temp_loc; - } - else - { - temp_loc.x=&l1->x[nZmiss]; - temp_loc.y=&l1->y[nZmiss]; - l2 = &temp_loc; - - //l1=(location *) calloc((size_t)nZmiss , sizeof(location)); - - VERBOSE("Reading ActualZ locations for prediction from disk ....."); - l1 = readLocsFile(data->actualZLocFPath, nZmiss); - VERBOSE(" Done.\n"); - - //streamdata=(double *) malloc(nZmiss * sizeof(double)); - VERBOSE("Reading ActualZ for prediction from disk ....."); - streamdata = readObsFile(data->actualZFPath, nZmiss); - MORSE_MLE_dzcpy_Tile_Async(MORSE_descZactual, streamdata, msequence, mrequest); - MORSE_Sequence_Wait(data->sequence); - VERBOSE(" Done.\n"); - } - - - //MORSE_dposv_Tile_Async(MorseLower, MORSE_descC22, MORSE_descZobs, data->sequence, &data->request[0]); - START_TIMING(mat_gen_time); - - //Generate C22 covariance matrix - VERBOSE("Generate C22 Covariance Matrix... (Prediction Stage)"); - // MORSE_MLE_dcmg_diag_Tile_Async(MorseLower, MORSE_descC22, msequence, mrequest, l2, l2, theta, data->dm, data->diag_thick); - MORSE_MLE_dcmg_diag_Tile_Async(MorseLower, MORSE_descC22, l2, l2, &data->lm, theta, data->dm, data->kernel_fun, data->diag_thick, msequence, mrequest); - - //flops = flops + FLOPS_DPOTRF(nZobs); - VERBOSE(" Done.\n"); - - //Generate C12 covariance matrix - VERBOSE("Generate C12 Covariance Matrix... (Prediction Stage)"); - // MORSE_MLE_dcmg_diag_Tile_Async(MorseLower, MORSE_descC12, msequence, mrequest, l1, l2, theta, data->dm, data->diag_thick); - - // MORSE_MLE_dcmg_diag_Tile_Async(MorseLower, MORSE_descC12, l1, l2, &data->lm, theta, data->dm, data->kernel_fun, data->diag_thick, msequence); - - MORSE_MLE_dcmg_diag_Tile_Async(MorseLower, MORSE_descC12, l1, l2, &data->lm, theta, data->dm, data->kernel_fun, data->diag_thick, msequence, mrequest); - - - //flops = flops + FLOPS_DPOTRF(nZmiss); - VERBOSE(" Done.\n"); - STOP_TIMING(mat_gen_time); - - START_TIMING(time_solve); - //Start prediction - VERBOSE("Calculate dposv C22 Covariance Matrix... (Prediction Stage)"); - MORSE_dposv_Tile_Async(MorseLower, MORSE_descC22, MORSE_descZobs, msequence, mrequest); - flops = flops + FLOPS_DPOTRF(nZobs); - flops = flops + FLOPS_DTRSM(MorseLeft, nZobs, nZobs); - VERBOSE(" Done.\n"); - - VERBOSE("Calculate dgemm Zmiss= C12 * Zobs Covariance Matrix... (Prediction Stage)"); - MORSE_dgemm_Tile_Async (MorseNoTrans, MorseNoTrans, 1, MORSE_descC12, MORSE_descZobs, 0, MORSE_descZmiss, msequence, mrequest); - flops = flops + FLOPS_DGEMM(nZmiss, nZobs, nZobs); - VERBOSE(" Done.\n"); - STOP_TIMING(time_solve); - - - //Estimate Mean Square Error - START_TIMING(time_mse); - VERBOSE("Calculate Mean Square Error (MSE) ... (Prediction Stage) \n"); - MORSE_MLE_dmse_Tile_Async(MORSE_descZactual, MORSE_descZmiss, MORSE_descmse, msequence, mrequest); - VERBOSE(" Done.\n"); - STOP_TIMING(time_mse); - - - //if you do not have actual value to compare with - if(data->descZactual==NULL) - return -1; - - data->mserror /= nZmiss; + l1 = &data->l1; + temp_loc.x = &l1->x[nZmiss]; + temp_loc.y = &l1->y[nZmiss]; + l2 = &temp_loc; + } else { + temp_loc.x = &l1->x[nZmiss]; + temp_loc.y = &l1->y[nZmiss]; + l2 = &temp_loc; + + VERBOSE("Reading ActualZ locations for prediction from disk ....."); + l1 = readLocsFile(data->actualZLocFPath, nZmiss); + VERBOSE(" Done.\n"); + + //streamdata=(double* ) malloc(nZmiss * sizeof(double)); + VERBOSE("Reading ActualZ for prediction from disk ....."); + streamdata = readObsFile(data->actualZFPath, nZmiss); + EXAGEOSTAT_MLE_dzcpy_Tile_Async(CHAMELEON_descZactual, streamdata, msequence, mrequest); + CHAMELEON_Sequence_Wait(data->sequence); + VERBOSE(" Done.\n"); + } + + START_TIMING(mat_gen_time); + + //Generate C22 covariance matrix + VERBOSE("Generate C22 Covariance Matrix... (Prediction Stage)"); + CHAM_MLE_dcmg_diag_Tile_Async(ChamLower, CHAM_descC22, l2, l2, &data->lm, theta, data->dm, data->kernel_fun, + data->diag_thick, msequence, mrequest); + VERBOSE(" Done.\n"); + + //Generate C12 covariance matrix + VERBOSE("Generate C12 Covariance Matrix... (Prediction Stage)"); + CHAM_MLE_dcmg_diag_Tile_Async(ChamLower, CHAM_descC12, l1, l2, &data->lm, theta, data->dm, data->kernel_fun, + data->diag_thick, msequence, mrequest); + + VERBOSE(" Done.\n"); + STOP_TIMING(mat_gen_time); + + START_TIMING(time_solve); + //Start prediction + VERBOSE("Calculate dposv C22 Covariance Matrix... (Prediction Stage)"); + CHAMELEON_dposv_Tile_Async(ChamLower, CHAM_descC22, CHAMELEON_descZobs, msequence, mrequest); + flops = flops + FLOPS_DPOTRF(nZobs); + flops = flops + FLOPS_DTRSM(ChamLeft, nZobs, nZobs); + VERBOSE(" Done.\n"); + + VERBOSE("Calculate dgemm Zmiss= C12 * Zobs Covariance Matrix... (Prediction Stage)"); + void *ws; + CHAMELEON_dgemm_Tile_Async(ChamNoTrans, ChamNoTrans, 1, CHAM_descC12, CHAMELEON_descZobs, 0, CHAMELEON_descZmiss, + &ws, msequence, mrequest); + flops = flops + FLOPS_DGEMM(nZmiss, nZobs, nZobs); + VERBOSE(" Done.\n"); + STOP_TIMING(time_solve); + + + //Estimate Mean Square Error + START_TIMING(time_mse); + VERBOSE("Calculate Mean Square Error (MSE) ... (Prediction Stage) \n"); + EXAGEOSTAT_MLE_dmse_Tile_Async(CHAMELEON_descZactual, CHAMELEON_descZmiss, CHAM_descmse, msequence, mrequest); + VERBOSE(" Done.\n"); + STOP_TIMING(time_mse); + + + //if you do not have actual value to compare with + if (data->descZactual == NULL) + return -1; + + data->mserror /= nZmiss; #if defined(CHAMELEON_USE_MPI) - if(MORSE_My_Mpi_Rank() == 0) - { + if(CHAMELEON_My_Mpi_Rank() == 0) + { #endif - if(data->log == 1) - fprintf(data->pFileLog, "\n\n# of missing observations :%d\n\nPrediction Execution Time: %2.6f, Flops: %2.6f, Mean Square Error (MSE): %2.6f\n\n", nZmiss, (mat_gen_time+time_solve+time_mse), (flops / 1e9 / (time_solve)), data->mserror ); - - // write_prediction_result("predict_result.dat", n, nZmiss, data->mserror, (mat_gen_time+time_solve+ time_mse), (flops / 1e9 / (time_solve ))); + if (data->log == 1) + fprintf(data->pFileLog, + "\n\n# of missing observations :%d\n\nPrediction Execution Time: %2.6f, Flops: %2.6f, Mean Square Error (MSE): %2.6f\n\n", + nZmiss, (mat_gen_time + time_solve + time_mse), (flops / 1e9 / (time_solve)), data->mserror); #if defined(CHAMELEON_USE_MPI) - } + } #endif - return data->mserror; + return data->mserror; } - - //init Chameleon descriptors -void MORSE_dmle_diag_Call(MLE_data *data, int ncores,int gpus, int dts, int p_grid, int q_grid, int N, int nZobs, int nZmiss) - //! //Initiate MORSE and allocate different descriptors for - /*! CHAMELEON - * Returns MLE_data data with initial values and new descriptors locations. - * @param[in] data: MLE_data struct with different MLE inputs. - * @param[in] ncores: number of CPU workers. - * @param[in] gpus: number of GPU workers. - * @param[in] dts: tile size (MB). - * @param[in] p_grid: p_grid in the case of distributed system. - * @param[in] q_grid: q_grid in the case of distributed system. - * @param[in] N: number of spatial locations. - * @param[in] nZobs: number of observed values (known observations). - * @param[in] nZmiss: number of missing values (unknown observations). - * */ +void EXAGEOSTAT_dmle_diag_Call(MLE_data *data, int ncores, int gpus, int dts, int p_grid, int q_grid, int N, int nZobs, + int nZmiss) + //! //Initiate CHAM and allocate different descriptors for + /*! CHAMELEON + * Returns MLE_data data with initial values and new descriptors locations. + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] ncores: number of CPU workers. + * @param[in] gpus: number of GPU workers. + * @param[in] dts: tile size (MB). + * @param[in] p_grid: p_grid in the case of distributed system. + * @param[in] q_grid: q_grid in the case of distributed system. + * @param[in] N: number of spatial locations. + * @param[in] nZobs: number of observed values (known observations). + * @param[in] nZmiss: number of missing values (unknown observations). + * */ { - MORSE_sequence_t *msequence; - MORSE_request_t mrequest[2] = { MORSE_REQUEST_INITIALIZER, MORSE_REQUEST_INITIALIZER }; - MORSE_desc_t *MORSE_descC = NULL; - MORSE_desc_t *MORSE_descZ = NULL; - MORSE_desc_t *MORSE_descZcpy = NULL; - MORSE_desc_t *MORSE_descproduct = NULL; - MORSE_desc_t *MORSE_descdet = NULL; - //MORSE_desc_t *MORSE_descZmiss = NULL; - //MORSE_desc_t *MORSE_descC12 = NULL; - //MORSE_desc_t *MORSE_descC22 = NULL; - //MORSE_desc_t *MORSE_descmse = NULL; - //MORSE_desc_t *MORSE_descZactual = NULL; - //MORSE_desc_t *MORSE_descZobs = NULL; - - - - // For ditributed system and should be removed - double *Zcpy = (double *) malloc(N * sizeof(double)); - - //Identifies a set of routines sharing common exception handling. - MORSE_Sequence_Create(&msequence); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC,NULL , MorseRealDouble, dts, dts, dts * dts, N, N, 0, 0, N, N, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZ, NULL, MorseRealDouble, dts, dts, dts * dts, N, 1, 0, 0, N, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZcpy, Zcpy, MorseRealDouble, dts, dts, dts * dts, N, 1, 0, 0, N, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descproduct, &data->dotp, MorseRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descdet, &data->det, MorseRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, p_grid, q_grid); - //if(nZmiss != 0) - //{ - // if(strcmp(data->actualZFPath,"")==0) - // { - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZobs, &Zcpy[nZmiss], MorseRealDouble, dts, dts, dts * dts, nZobs, 1, 0, 0, nZobs, 1, p_grid, q_grid); - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZactual, Zcpy, MorseRealDouble, dts, dts, dts * dts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - // } - // else - // { - // MORSE_descZobs = MORSE_descZcpy; - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZactual, NULL, MorseRealDouble, dts, dts, dts * dts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - // } - - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZmiss, NULL, MorseRealDouble, dts, dts, dts * dts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC12, NULL, MorseRealDouble, dts, dts, dts * dts, nZmiss, nZobs, 0, 0, nZmiss, nZobs, p_grid, q_grid); - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC22, NULL, MorseRealDouble, dts, dts, dts * dts, nZobs, nZobs, 0, 0, nZobs, nZobs, p_grid, q_grid); - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descmse, &data->mserror, MorseRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, p_grid, q_grid); - // } - //Fill data struct - data->descC = MORSE_descC; - data->descZ = MORSE_descZ; - data->descZcpy = MORSE_descZcpy; - data->descdet = MORSE_descdet; - data->descproduct = MORSE_descproduct; - //data->descZmiss = MORSE_descZmiss; - //data->descC12 = MORSE_descC12; - //data->descC22 = MORSE_descC22; - //data->descmse = MORSE_descmse; - //data->descZactual = MORSE_descZactual; - //data->descZobs = MORSE_descZobs; - data->sequence = msequence; - data->request = mrequest; - //stop gsl error handler - gsl_set_error_handler_off () ; - + RUNTIME_sequence_t *msequence; + RUNTIME_request_t mrequest[2] = {CHAMELEON_SUCCESS, CHAMELEON_SUCCESS}; + CHAM_desc_t *CHAM_descC = NULL; + CHAM_desc_t *CHAMELEON_descZ = NULL; + CHAM_desc_t *CHAMELEON_descZcpy = NULL; + CHAM_desc_t *CHAM_descproduct = NULL; + CHAM_desc_t *CHAM_descproduct1 = NULL; + CHAM_desc_t *CHAM_descproduct2 = NULL; + CHAM_desc_t *CHAM_descproduct3 = NULL; + CHAM_desc_t *CHAM_descdet = NULL; + + // For ditributed system and should be removed + double* Zcpy = (double* ) malloc(N * sizeof(double)); + + //Identifies a set of routines sharing common exception handling. + CHAMELEON_Sequence_Create(&msequence); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descC, NULL, ChamRealDouble, dts, dts, dts * dts, N, N, 0, 0, N, N, p_grid, + q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZ, NULL, ChamRealDouble, dts, dts, dts * dts, N, 1, 0, 0, N, 1, + p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZcpy, Zcpy, ChamRealDouble, dts, dts, dts * dts, N, 1, 0, 0, N, 1, + p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descproduct, &data->dotp, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, + 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descproduct1, &data->dotp1, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, + 1, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descproduct2, &data->dotp2, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, + 1, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descproduct3, &data->dotp3, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, + 1, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descdet, &data->det, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, + p_grid, q_grid); + + //Fill data struct + data->descC = CHAM_descC; + data->descZ = CHAMELEON_descZ; + data->descZcpy = CHAMELEON_descZcpy; + data->descdet = CHAM_descdet; + data->descproduct = CHAM_descproduct; + data->descproduct1 = CHAM_descproduct; + data->descproduct2 = CHAM_descproduct; + data->descproduct3 = CHAM_descproduct; + data->sequence = msequence; + data->request = mrequest; + //stop gsl error handler + gsl_set_error_handler_off(); } - - diff --git a/exageostat_approx/src/compute/MLE_lr.c b/exageostat_approx/src/compute/MLE_lr.c index 44c4c5d..391e8fa 100644 --- a/exageostat_approx/src/compute/MLE_lr.c +++ b/exageostat_approx/src/compute/MLE_lr.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -12,25 +12,28 @@ * ExaGeoStat is a software package provided by KAUST, * King Abdullah University of Science and Technology - ECRC * - * @version 1.1.0 + * @version 1.2.0 * @author Sameh Abdulah - * @date 2020-06-06 + * @date 2022-11-09 * **/ #include "../include/MLE_lr.h" +#include "hicma/misc/auxcompute_z.h" +#include "hicma_d.h" + //*************************************************************************************** //HiCMA global variables. int store_only_diagonal_tiles = 1; -int print_index = 0; STARSH_blrf *mpiF; int use_scratch = 1; int global_check = 0; //used to create dense matrix for accuracy check -int print_mat = 0; -int calc_rank_stat = 0; //Calculate the rank. Set to 0 in normal execution. +int calc_rank_stat = 0; //Calculate the rank. Set to 0 in normal execution. double *Ark_initial; double *Ark_old; -int HICMA_MLE_dzvg_Tile (MLE_data *data, double * Nrand, double * initial_theta, int n, int dts, int log, int p_grid, int q_grid) { +int +EXAGEOSTAT_TLR_MLE_dzvg_Tile(MLE_data *data, double *Nrand, double *initial_theta, int n, int dts, int log, int p_grid, + int q_grid) { //! Generate Observations Vector (Z) for testing Maximum /*! Likelihood function -- HICMA-sync * Returns Z observation vector @@ -39,119 +42,117 @@ int HICMA_MLE_dzvg_Tile (MLE_data *data, double * Nrand, double * initial_theta * @param[in] initial_theta: Theta vector with three parameter (Variance, Range, Smoothness) * that is used to to generate the Covariance Matrix. * @param[in] n: Problem size (number spatial locations). - * @param[in] dts: tile size (MB) is used only in the case of HiCMA not MORSE. + * @param[in] dts: tile size (MB) is used only in the case of HiCMA not CHAM. * @param[in] log: equals one if the user needs to generate log files for his problem. * @param[in] p_grid: p_grid in the case of distributed system. * @param[in] q_grid: q_grid in the case of distributed system. * */ //Initialization - MORSE_sequence_t *msequence; - MORSE_request_t mrequest[2] = { MORSE_REQUEST_INITIALIZER, MORSE_REQUEST_INITIALIZER }; - MORSE_desc_t *MORSE_descC = NULL; - MORSE_desc_t *MORSE_descZ = NULL; - double* univariate_theta; - double* univariate2_theta; - double* univariate3_theta; + RUNTIME_sequence_t *msequence; + RUNTIME_request_t mrequest[2] = {CHAMELEON_SUCCESS, CHAMELEON_SUCCESS}; + CHAM_desc_t *CHAM_descC = NULL; + CHAM_desc_t *CHAMELEON_descZ = NULL; + CHAM_desc_t *CHAMELEON_descproduct = NULL; + double *univariate_theta; + double *univariate2_theta; + double *univariate3_theta; double nu12; double rho; double sigma_square12; //Create two dense descriptors to generate the measurment vectors - MORSE_Sequence_Create(&msequence); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC, NULL, MorseRealDouble, dts, dts, dts * dts, n, n, 0, 0, n, n, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZ, NULL, MorseRealDouble, dts, dts, dts * dts, n, 1, 0, 0, n, 1, p_grid, q_grid); - + CHAMELEON_Sequence_Create(&msequence); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descC, NULL, ChamRealDouble, dts, dts, dts * dts, n, n, 0, 0, n, n, p_grid, + q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZ, NULL, ChamRealDouble, dts, dts, dts * dts, n, 1, 0, 0, n, 1, + p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descproduct, &data->dotp, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, + 1, p_grid, q_grid); //Generate the co-variance matrix C VERBOSE("LR: Initializing Covariance Matrix (Synthetic Dataset Dense Generation Phase)....."); - if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) - { + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { - univariate_theta =(double *) malloc(3 * sizeof(double)); - univariate2_theta =(double *) malloc(3 * sizeof(double)); - univariate3_theta =(double *) malloc(3 * sizeof(double)); - univariate_theta[0]=initial_theta[0]; - univariate_theta[1]=initial_theta[2]; - univariate_theta[2]=initial_theta[3]; + univariate_theta = (double *) malloc(3 * sizeof(double)); + univariate2_theta = (double *) malloc(3 * sizeof(double)); + univariate3_theta = (double *) malloc(3 * sizeof(double)); + univariate_theta[0] = initial_theta[0]; + univariate_theta[1] = initial_theta[2]; + univariate_theta[2] = initial_theta[3]; - MORSE_MLE_dcmg_Tile_Async(MorseUpperLower, morse_desc_submatrix(MORSE_descC, 0, 0, MORSE_descC->m/2, - MORSE_descC->n/2), &data->l1, &data->l1, &data->lm, univariate_theta, data->dm, - "univariate_matern_stationary", msequence, mrequest); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, chameleon_desc_submatrix(CHAM_descC, 0, 0, CHAM_descC->m / 2, + CHAM_descC->n / 2), &data->l1, + &data->l1, + &data->lm, univariate_theta, data->dm, + "univariate_matern_stationary", msequence, mrequest); nu12 = 0.5 * (initial_theta[3] + initial_theta[4]); - rho = initial_theta[5] * sqrt( (tgamma(initial_theta[3] + 1)*tgamma(initial_theta[4] + 1)) / - (tgamma(initial_theta[3]) * tgamma(initial_theta[4])) ) * - tgamma(nu12) / tgamma(nu12 + 1); - sigma_square12 = rho * sqrt(initial_theta[0]*initial_theta[1]) ; - - univariate2_theta[0]=sigma_square12; - univariate2_theta[1]=initial_theta[2]; - univariate2_theta[2]=nu12; - MORSE_MLE_dcmg_Tile_Async(MorseUpperLower, morse_desc_submatrix(MORSE_descC, MORSE_descC->m/2, - 0, MORSE_descC->m/2, MORSE_descC->n/2), &data->l1, &data->l1, &data->lm, - univariate2_theta, data->dm, "univariate_matern_stationary", msequence, mrequest); - - // MORSE_MLE_dcmg_Tile_Async(MorseLower, data->descsubC21, &data->l1, &data->l1, &data->lm, univariate2_theta, data->dm, "univariate_matern_stationary", msequence, &mrequest[0]); - - univariate3_theta[0]=initial_theta[1]; - univariate3_theta[1]=initial_theta[2]; - univariate3_theta[2]=initial_theta[4]; - MORSE_MLE_dcmg_Tile_Async(MorseUpperLower, morse_desc_submatrix(MORSE_descC, MORSE_descC->m/2, - MORSE_descC->n/2, MORSE_descC->m/2, MORSE_descC->n/2), &data->l1, &data->l1, - &data->lm, univariate3_theta, data->dm, "univariate_matern_stationary", msequence, mrequest); - } - else if(strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) - { - MORSE_MLE_dcmg_Tile_Async(MorseLower, data->descC, &data->l1, - &data->l1, &data->lm, initial_theta, - data->dm, "univariate_matern_stationary", msequence, mrequest); - } - else - { - MORSE_MLE_dcmg_Tile_Async(MorseLower, MORSE_descC, &data->l1, - &data->l1, &data->lm, initial_theta, - data->dm, data->kernel_fun, msequence, mrequest); + rho = initial_theta[5] * sqrt((tgamma(initial_theta[3] + 1) * tgamma(initial_theta[4] + 1)) / + (tgamma(initial_theta[3]) * tgamma(initial_theta[4]))) * + tgamma(nu12) / tgamma(nu12 + 1); + sigma_square12 = rho * sqrt(initial_theta[0] * initial_theta[1]); + + univariate2_theta[0] = sigma_square12; + univariate2_theta[1] = initial_theta[2]; + univariate2_theta[2] = nu12; + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, chameleon_desc_submatrix(CHAM_descC, CHAM_descC->m / 2, + 0, CHAM_descC->m / 2, + CHAM_descC->n / 2), + &data->l1, &data->l1, &data->lm, + univariate2_theta, data->dm, "univariate_matern_stationary", msequence, + mrequest); + + univariate3_theta[0] = initial_theta[1]; + univariate3_theta[1] = initial_theta[2]; + univariate3_theta[2] = initial_theta[4]; + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, chameleon_desc_submatrix(CHAM_descC, CHAM_descC->m / 2, + CHAM_descC->n / 2, CHAM_descC->m / 2, + CHAM_descC->n / 2), &data->l1, + &data->l1, + &data->lm, univariate3_theta, data->dm, "univariate_matern_stationary", + msequence, + mrequest); + } else if (strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) { + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, data->descC, &data->l1, + &data->l1, &data->lm, initial_theta, + data->dm, "univariate_matern_stationary", msequence, mrequest); + } else { + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAM_descC, &data->l1, + &data->l1, &data->lm, initial_theta, + data->dm, data->kernel_fun, msequence, mrequest); - // MORSE_MLE_dcmg_Tile_Async(MorseLower, MORSE_descC, &data->l1, &data->l1, &data->lm, initial_theta, data->dm, data->kernel_fun, msequence, mrequest); } - MORSE_Sequence_Wait(msequence); + CHAMELEON_Sequence_Wait(msequence); VERBOSE(" Done.\n"); - - - // double *C = (double *) malloc(n * n * sizeof(double)); - // MORSE_Tile_to_Lapack( MORSE_descC, C, n); - // print_dmatrix("testC", 16, 16, C, 16); - // exit(0); - //Copy Nrand to Z VERBOSE("LR: Generate Normal Random Distribution Vector Z (Synthetic Dataset Dense Generation Phase) ....."); - MORSE_MLE_dzcpy_Tile_Async(MORSE_descZ, Nrand, msequence, mrequest); + EXAGEOSTAT_MLE_dzcpy_Tile_Async(CHAMELEON_descZ, Nrand, msequence, mrequest); VERBOSE(" Done.\n"); //Cholesky factorization for the Co-variance matrix C VERBOSE("LR: Cholesky factorization of Sigma (Synthetic Dataset Dense Generation Phase) ....."); - int success = MORSE_dpotrf_Tile(MorseLower, MORSE_descC); + int success = CHAMELEON_dpotrf_Tile(ChamLower, CHAM_descC); SUCCESS(success, "LR: Factorization cannot be performed..\n The matrix is not positive definite\n\n"); VERBOSE(" Done.\n"); //Triangular matrix-matrix multiplication VERBOSE("LR: Triangular matrix-matrix multiplication Z=L.e (Synthetic Dataset Dense Generation Phase) ....."); - MORSE_dtrmm_Tile(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, MORSE_descC, MORSE_descZ); + CHAMELEON_dtrmm_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAM_descC, CHAMELEON_descZ); VERBOSE(" Done.\n"); //if log==1 write vector to disk - if(log==1) - { + if (log == 1) { double *z; #if defined(CHAMELEON_USE_MPI) - z = (double *) malloc(n * sizeof(double)); - MORSE_Tile_to_Lapack( MORSE_descZ, z, n); + z = (double* ) malloc(n * sizeof(double)); + CHAMELEON_Tile_to_Lapack( CHAMELEON_descZ, z, n); #else - z = MORSE_descZ->mat; + z = CHAMELEON_descZ->mat; #endif write_vectors(z, data, n); #if defined(CHAMELEON_USE_MPI) @@ -160,172 +161,37 @@ int HICMA_MLE_dzvg_Tile (MLE_data *data, double * Nrand, double * initial_theta } VERBOSE("LR: Done Z Vector Dense Generation Phase. (Chameleon Synchronous)\n"); - VERBOSE("************************************************************\n"); - + VERBOSE("************************************************************\n"); - data->descZ = MORSE_descZ; - data->sequence = msequence; - data->request = mrequest; + data->descZ = CHAMELEON_descZ; + data->descproduct = CHAMELEON_descproduct; + data->sequence = msequence; + data->request = mrequest; //Destory dense descriptors to save memory. - MORSE_Desc_Destroy(&MORSE_descC); + CHAMELEON_Desc_Destroy(&CHAM_descC); return 0; } -void HICMA_MLE_zcpy( MLE_data *data, double *streamdata) - //! Copy measurements vector from Lapack - /*! format to Chameleon format. - * @param[in] data: MLE_data struct with different MLE inputs. - * @param[in] streamdata: measurments vector in lapack format. - * */ +void EXAGEOSTAT_TLR_MLE_zcpy(MLE_data *data, double *streamdata) +//! Copy measurements vector from Lapack +/*! format to Chameleon format. + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] streamdata: measurments vector in lapack format. + * */ { - MORSE_sequence_t *hsequence = (MORSE_sequence_t *) data->hsequence; - MORSE_request_t *hrequest = (MORSE_request_t *) data->hrequest; + RUNTIME_sequence_t *hsequence = (RUNTIME_sequence_t *) data->hsequence; + RUNTIME_request_t *hrequest = (RUNTIME_request_t *) data->hrequest; VERBOSE("LR: Copy Z from vector to decriptor.\n"); - MORSE_MLE_dzcpy_Tile_Async(data->hicma_descZ, streamdata, hsequence, hrequest); - MORSE_Sequence_Wait(hsequence); + EXAGEOSTAT_MLE_dzcpy_Tile_Async(data->hicma_descZ, streamdata, hsequence, hrequest); + CHAMELEON_Sequence_Wait(hsequence); VERBOSE("LR: Done Z copying step.\n"); VERBOSE("************************************************************\n"); } -//Generate Observations Vector (Z) for testing Maximum Likelihood function -- MORSE-sync -//int HICMA_MLE_dzvg_Tile (MLE_data *data, double * Nrand, double * initial_theta, int n, int ts, int log) { - -// int compress_diag = 0; -// int success = 0; -// acc_struct acc; -// MORSE_desc_t *hicma_descCD = (MORSE_desc_t*) data->hicma_descCD; -// MORSE_desc_t *hicma_descCUV = (MORSE_desc_t*) data->hicma_descCUV; -// MORSE_desc_t *hicma_descCrk = (MORSE_desc_t*) data->hicma_descCrk; -// MORSE_desc_t *MORSE_descZ = (MORSE_desc_t*) data->descZ; -// MORSE_desc_t *MORSE_descC = (MORSE_desc_t*) data->descC; - - -// if(data->check==0) -// global_check=0; - -// if(strcmp(data->obsFPath, "")==0) -// { - -// if (data->verbose == 1 && MORSE_My_Mpi_Rank() == 0) -// fprintf(stderr, "LR: Initializing Co-variance Matrix (Synthetic Dataset Generation Phase) ....."); -//Generate Co-variance matrix C -//MORSE_MLE_cmg_Tile_Async(data->descC, data->sequence, &data->request[0], &data->l1, &data->l1, initial_theta, data->dm); -//ddcay is any vale for GEOSTAT (not used) -// HICMA_problem_t hicma_problem; -// hicma_problem.theta = initial_theta; -// hicma_problem.noise = 0.0; -// hicma_problem.ndim = 2; -// HICMA_zgenerate_problem(HICMA_STARSH_PROB_GEOSTAT, 'S', 0, n, ts, hicma_descCUV->mt, hicma_descCUV->nt, &hicma_problem); -// mpiF = hicma_problem.starsh_format; -//printf("hicma_maxrank:%d - compress_diag:%d - hicma_descCUV->mt:%d - hicma_descCD->mt:%d - hicma_descCrk->mt:%d - MORSE_descC->mt:%d\n", data->hicma_maxrank, compress_diag, hicma_descCUV->mt, hicma_descCD->mt, hicma_descCrk->mt, MORSE_descC->mt); -// HICMA_zgytlr_Tile(MorseLower, hicma_descCUV, hicma_descCD, hicma_descCrk, 0, data->hicma_maxrank, pow(10, -1.0 * data->hicma_acc), compress_diag, MORSE_descC); - -// if (data->verbose == 1 && MORSE_My_Mpi_Rank() == 0) -// fprintf(stderr, " Done.\n"); - -//For checking accuracy -// if(data->check==1 && n < 10000) -// { -//if (data->verbose == 1 && MORSE_My_Mpi_Rank() == 0) -// fprintf(stderr, "LR: allocating and coping original covariance matrix for accuracy checking (Synthetic Dataset Generation Phase) ....."); - -//data->Adense = (double *) malloc(n * n * sizeof(double)); -//data->Adense2 = (double *) malloc(n * n * sizeof(double)); - -//printf("%d - %d\n",MORSE_descC->m,MORSE_descC->n); -// MORSE_Tile_to_Lapack(MORSE_descC, data->Adense, n); -// MORSE_Tile_to_Lapack(MORSE_descC, data->Adense2, n); - -//fprintf(stderr," %6.4e", data->Adense[0]); -//print_matrix("test Hicma",n, n, data->Adense, n); -//PASTE_TILE_TO_LAPACK( MORSE_descC, data->Adense, data->check, double, M, M); -//PASTE_TILE_TO_LAPACK( MORSE_descC, data->Adense2, data->check, double, M, M); - -// if (data->verbose == 1 && MORSE_My_Mpi_Rank() == 0) -// fprintf(stderr, " Done.\n"); -// } - -//Generate Z Vector -// if (data->verbose == 1 && MORSE_My_Mpi_Rank() == 0) -// fprintf(stderr, "LR:Generate Normal Random Distribution Vector Z (Synthetic Dataset Generation Phase) ....."); -// MORSE_MLE_dzcpy_Tile_Async(data->descZ, Nrand, data->sequence, &data->request[0]); -// -// if (data->verbose == 1 && MORSE_My_Mpi_Rank() == 0) -// fprintf(stderr, " Done.\n"); - -//Cholesky factorization -// if (data->verbose == 1 && MORSE_My_Mpi_Rank() == 0) -// fprintf(stderr, "Cholesky factorization of Sigma (Synthetic Dataset Generation Phase) ....."); - -// int success = HICMA_zpotrf_Tile(MorseLower, hicma_descCUV, hicma_descCD, hicma_descCrk, 0, data->hicma_maxrank, pow(10, -1.0 * data->hicma_acc)); -// if (success != MORSE_SUCCESS) { -// printf("Factorization cannot be performed..\n The matrix is not positive definite\n\n"); -// exit(EXIT_FAILURE); -// } -// if (data->verbose == 1 && MORSE_My_Mpi_Rank() == 0) -// fprintf(stderr, " Done.\n"); - -//For checking accuracy -//if(data->check==1 && n<10000) -//{ -//acc=check_acc(data, n, ts); -//printf("normA:%.2e normDenseAppdiff:%.2e Accuracy: %.2e\n", acc.normA, acc.normDenseAppDiff, acc.accuracyDenseAppDiff); -//} - - -// exit(0); //till dtrmv availability from HicMA -//dtrmm is not supported yet by HiCMA - -//Triangular solve dtrmm -// if (data->verbose == 1 && MORSE_My_Mpi_Rank() == 0) -// fprintf(stderr, "LR:Triangular Solve dtrmm Z=L.e (Synthetic Dataset Generation Phase) ....."); -// MORSE_dtrmm_Tile(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, data->descC, data->descZ); -// if (data->verbose == 1 && MORSE_My_Mpi_Rank() == 0) -// fprintf(stderr, " Done.\n"); - -// if(log==1) -// { -// MORSE_desc_t *MORSE_descZ = (MORSE_desc_t *)(data->descZ); -// write_vectors(MORSE_descZ->mat, data, n); -// } - -// } -// else -// { -// double * streamdata; - -// if (data->verbose == 1 && MORSE_My_Mpi_Rank() == 0) -// fprintf(stderr,"Reading Observations from disk ....."); - -// streamdata=(double *) malloc(n * sizeof(double)); -// streamdata = readObsFile(data->obsFPath, n); -// MORSE_MLE_dzcpy_Tile_Async(data->descZ, streamdata, data->sequence, &data->request[0]); - -// if (data->verbose == 1 && MORSE_My_Mpi_Rank() == 0) -// fprintf(stderr, "LR: Done.\n"); - -// free(streamdata); -// } - -//Save a copy of descZ into descZcpy for restoring each iteration -//MORSE_dlacpy_Tile(MorseUpperLower, data->descZ, data->descZcpy); - - -// if (data->verbose == 1 && MORSE_My_Mpi_Rank() == 0) -// { -// fprintf(stderr, "LR:Done Z Vector Generation Phase. (Chameleon Synchronous)\n"); -// fprintf(stderr, "LR:************************************************************\n"); -// } - -// return 0; - -//} - - - - -int HICMA_MLE_dzvg_Tile_Async (MLE_data *data, double * Nrand, double * initial_theta, int n, int dts, int log, int p_grid, int q_grid) { +int EXAGEOSTAT_TLR_MLE_dzvg_Tile_Async(MLE_data *data, double *Nrand, double *initial_theta, int n, int dts, int log, + int p_grid, + int q_grid) { //! Generate Observations Vector (Z) for testing Maximum /*! Likelihood function -- HICMA-async * Returns Z observation vector @@ -334,54 +200,55 @@ int HICMA_MLE_dzvg_Tile_Async (MLE_data *data, double * Nrand, double * initial * @param[in] initial_theta: Theta vector with three parameter (Variance, Range, Smoothness) * that is used to to generate the Covariance Matrix. * @param[in] n: Problem size (number spatial locations). - * @param[in] dts: tile size (MB) is used only in the case of HiCMA not MORSE. + * @param[in] dts: tile size (MB) is used only in the case of HiCMA not CHAM. * @param[in] log: equals one if the user needs to generate log files for his problem. * @param[in] p_grid: p_grid in the case of distributed system. * @param[in] q_grid: q_grid in the case of distributed system. * */ //Initialization - MORSE_sequence_t *msequence; - MORSE_request_t mrequest[2] = { MORSE_REQUEST_INITIALIZER, MORSE_REQUEST_INITIALIZER }; - MORSE_desc_t *MORSE_descC = NULL; - MORSE_desc_t *MORSE_descZ = NULL; - + RUNTIME_sequence_t *msequence; + RUNTIME_request_t mrequest[2] = {CHAMELEON_SUCCESS, CHAMELEON_SUCCESS}; + CHAM_desc_t *CHAM_descC = NULL; + CHAM_desc_t *CHAMELEON_descZ = NULL; //Create two dense descriptors to generate the measurment vectors - MORSE_Sequence_Create(&msequence); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC, NULL, MorseRealDouble, dts, dts, dts * dts, n, n, 0, 0, n, n, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZ, NULL, MorseRealDouble, dts, dts, dts * dts, n, 1, 0, 0, n, 1, p_grid, q_grid); - + CHAMELEON_Sequence_Create(&msequence); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descC, NULL, ChamRealDouble, dts, dts, dts * dts, n, n, 0, 0, n, n, p_grid, + q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZ, NULL, ChamRealDouble, dts, dts, dts * dts, n, 1, 0, 0, n, 1, + p_grid, q_grid); //Generate the co-variance matrix C VERBOSE("LR: Initializing Covariance Matrix (Synthetic Dataset Dense Generation Phase)....."); - MORSE_MLE_dcmg_Tile_Async(MorseLower, MORSE_descC, &data->l1, &data->l1, &data->lm, initial_theta, data->dm, data->kernel_fun, msequence, mrequest); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAM_descC, &data->l1, &data->l1, &data->lm, initial_theta, data->dm, + data->kernel_fun, msequence, mrequest); VERBOSE(" Done.\n"); //Copy Nrand to Z VERBOSE("LR: Generate Normal Random Distribution Vector Z (Synthetic Dataset Dense Generation Phase) ....."); - MORSE_MLE_dzcpy_Tile_Async(MORSE_descZ, Nrand, msequence, mrequest); + EXAGEOSTAT_MLE_dzcpy_Tile_Async(CHAMELEON_descZ, Nrand, msequence, mrequest); VERBOSE(" Done.\n"); //Cholesky factorization for the Co-variance matrix C VERBOSE("LR: Cholesky factorization of Sigma (Synthetic Dataset Dense Generation Phase) ....."); - int success = MORSE_dpotrf_Tile_Async(MorseLower, MORSE_descC, msequence, mrequest); + int success = CHAMELEON_dpotrf_Tile_Async(ChamLower, CHAM_descC, msequence, mrequest); SUCCESS(success, "LR: Factorization cannot be performed..\n The matrix is not positive definite\n\n"); VERBOSE(" Done.\n"); //Triangular matrix-matrix multiplication VERBOSE("LR: Triangular matrix-matrix multiplication Z=L.e (Synthetic Dataset Dense Generation Phase) ....."); - MORSE_dtrmm_Tile_Async(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, MORSE_descC, MORSE_descZ, msequence, mrequest); + CHAMELEON_dtrmm_Tile_Async(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAM_descC, CHAMELEON_descZ, msequence, + mrequest); VERBOSE(" Done.\n"); //if log==1 write vector to disk - if(log==1) - { + if (log == 1) { double *z; #if defined(CHAMELEON_USE_MPI) - z = (double *) malloc(n * sizeof(double)); - MORSE_Tile_to_Lapack( MORSE_descZ, z, n); + z = (double* ) malloc(n * sizeof(double)); + CHAMELEON_Tile_to_Lapack( CHAMELEON_descZ, z, n); #else - z = MORSE_descZ->mat; + z = CHAMELEON_descZ->mat; #endif write_vectors(z, data, n); #if defined(CHAMELEON_USE_MPI) @@ -393,119 +260,112 @@ int HICMA_MLE_dzvg_Tile_Async (MLE_data *data, double * Nrand, double * initial VERBOSE("************************************************************\n"); - data->descZ = MORSE_descZ; - data->sequence = msequence; - data->request = mrequest; + data->descZ = CHAMELEON_descZ; + data->sequence = msequence; + data->request = mrequest; //Destory dense descriptors to save memory. - MORSE_Desc_Destroy(&MORSE_descC); + CHAMELEON_Desc_Destroy(&CHAM_descC); return 0; - } //compute MLE function -double HICMA_dmle_Tile(unsigned n, const double * theta, double * grad, void * app_data) +double EXAGEOSTAT_TLR_dmle_Tile(unsigned n, const double *theta, double *grad, void *app_data) //! Maximum Likelihood Evaluation (MLE) - /*! -- HICMA-sync - * Returns the loglikelihhod value for the given theta. - * @param[in] n: unsigned variable used by NLOPT library. - * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) - * that is used to to generate the Covariance Matrix. - * @param[in] grad: double variable used by NLOPT library. - * @param[in] app_data: MLE_data struct with different MLE inputs. - * */ +/*! -- HICMA-sync + * Returns the loglikelihhod value for the given theta. + * @param[in] n: unsigned variable used by NLOPT library. + * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] grad: double variable used by NLOPT library. + * @param[in] app_data: MLE_data struct with different MLE inputs. + * */ { //Initialization - double loglik = 0.0; - int compress_diag = 0; - //double ddotproduct = 0.0, - double logdet = 0.0; - double time_facto = 0.0, - time_solve = 0.0, - logdet_calculate = 0.0, - matrix_gen_time = 0.0, - test_time = 0.0; - double flops = 0.0; + double loglik = 0.0; + int compress_diag = 0; + double logdet = 0.0; + double time_facto = 0.0, + time_solve = 0.0, + logdet_calculate = 0.0, + matrix_gen_time = 0.0, + test_time = 0.0; + double flops = 0.0; int success, maxrank, acc; - //int verbose; - int N, NRHS; + int N, NRHS; int lts;//, dts; int hicma_data_type; int i = 0; - int num_params=0; - MLE_data *data = (MLE_data*) app_data; - MORSE_desc_t *hicma_descC = (MORSE_desc_t *) data->hicma_descC; - MORSE_desc_t *hicma_descCD = (MORSE_desc_t *) data->hicma_descCD; - MORSE_desc_t *hicma_descCUV = (MORSE_desc_t *) data->hicma_descCUV; - MORSE_desc_t *hicma_descCrk = (MORSE_desc_t *) data->hicma_descCrk; - MORSE_desc_t *hicma_descZ = (MORSE_desc_t *) data->hicma_descZ; - MORSE_desc_t *morse_descZ = (MORSE_desc_t *) data->descZ; - MORSE_desc_t *hicma_descZcpy = (MORSE_desc_t *) data->hicma_descZcpy; - MORSE_desc_t *hicma_descdet = (MORSE_desc_t *) data->hicma_descdet; - MORSE_desc_t *hicma_descproduct = (MORSE_desc_t *) data->hicma_descproduct; - MORSE_sequence_t *hsequence = (MORSE_sequence_t *) data->hsequence; - MORSE_request_t *hrequest = (MORSE_request_t *) data->hrequest; - if(strcmp(data->kernel_fun, "univariate_matern_stationary") == 0 || strcmp(data->kernel_fun, "univariate_pow_exp_stationary") == 0 ) + int num_params = 0; + MLE_data *data = (MLE_data *) app_data; + HICMA_desc_t *hicma_descC = (HICMA_desc_t *) data->hicma_descC; + HICMA_desc_t *hicma_descCD = (HICMA_desc_t *) data->hicma_descCD; + HICMA_desc_t *hicma_descCUV = (HICMA_desc_t *) data->hicma_descCUV; + HICMA_desc_t *hicma_descCrk = (HICMA_desc_t *) data->hicma_descCrk; + HICMA_desc_t *hicma_descZ = (HICMA_desc_t *) data->hicma_descZ; + CHAM_desc_t *CHAM_descZ = (CHAM_desc_t *) data->descZ; + HICMA_desc_t *hicma_descZcpy = (HICMA_desc_t *) data->hicma_descZcpy; + HICMA_desc_t *hicma_descdet = (HICMA_desc_t *) data->hicma_descdet; + CHAM_desc_t *cham_descproduct = (CHAM_desc_t *) data->descproduct; + HICMA_sequence_t *hsequence = (HICMA_sequence_t *) data->hsequence; + HICMA_request_t *hrequest = (HICMA_request_t *) data->hrequest; + if (strcmp(data->kernel_fun, "univariate_matern_stationary") == 0 || + strcmp(data->kernel_fun, "univariate_pow_exp_stationary") == 0) num_params = 3; - else if(strcmp(data->kernel_fun, "univariate_matern_nuggets_stationary") == 0) + else if (strcmp(data->kernel_fun, "univariate_matern_nuggets_stationary") == 0) num_params = 4; - else if(strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) + else if (strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) num_params = 9; - else if(strcmp(data->kernel_fun, "bivariate_matern_flexible") == 0) + else if (strcmp(data->kernel_fun, "bivariate_matern_flexible") == 0) num_params = 11; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0) + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0) num_params = 6; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0) + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0) num_params = 6; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) num_params = 6; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) num_params = 6; - else - { - fprintf(stderr,"Choosen kernel is not exist(2)!\n"); - fprintf(stderr, "Called function is: %s\n",__func__); + else if (strcmp(data->kernel_fun, "univariate_matern_non_gaussian") == 0 || + strcmp(data->kernel_fun, "univariate_exp_non_gaussian") == 0) + num_params = 6; + else if (strcmp(data->kernel_fun, "trivariate_matern_parsimonious") == 0) + num_params = 10; + else if (strcmp(data->kernel_fun, "univariate_matern_non_stat") == 0) + num_params = 8; + else { + fprintf(stderr, "Choosen kernel is not exist!\n"); + fprintf(stderr, "Called function is: %s\n", __func__); exit(0); - } - //to be removed - /* for(i=0;iverbose; - N = hicma_descCD->m; - NRHS = hicma_descZ->n; - lts = hicma_descZ->mb; - //dts = morse_descZ->mb; - maxrank = ((MLE_data*)data)->hicma_maxrank; - acc = ((MLE_data*)data)->hicma_acc; - hicma_data_type = ((MLE_data*)data)->hicma_data_type; - data->det = 0; - data->dotp = 0; - - + } + //verbose = data->verbose; + N = hicma_descCD->m; + NRHS = hicma_descZ->n; + lts = hicma_descZ->mb; + maxrank = ((MLE_data *) data)->hicma_maxrank; + acc = ((MLE_data *) data)->hicma_acc; + hicma_data_type = ((MLE_data *) data)->hicma_data_type; + data->det = 0; + data->dotp = 0; //Save a copy of descZ into descZcpy for restoring each iteration - if (data->iter_count == 0) - { + if (data->iter_count == 0) { - if (strcmp(data->locsFPath, "") == 0) - { + if (strcmp(data->locsFPath, "") == 0) { double *z = (double *) malloc(N * sizeof(double)); - MORSE_Tile_to_Lapack( morse_descZ, z, N); - MORSE_Lapack_to_Tile( z, N, hicma_descZ); + CHAMELEON_Tile_to_Lapack(CHAM_descZ, z, N); + HICMA_Lapack_to_Tile(z, N, hicma_descZ); free(z); - MORSE_Desc_Destroy(&morse_descZ); + VERBOSE("transforming\n"); + //CHAMELEON_Desc_Destroy(&CHAM_descZ); } - MORSE_dlacpy_Tile(MorseUpperLower, hicma_descZ, hicma_descZcpy); + HICMA_dlacpy_Tile(ChamUpperLower, hicma_descZ, hicma_descZcpy); } - if(strcmp(data->recovery_file,"") != 0 && recover(data->recovery_file, data->iter_count, theta, &loglik, num_params)); + if (strcmp(data->recovery_file, "") != 0 && + recover(data->recovery_file, data->iter_count, theta, &loglik, num_params)); - else{ + else { //Save a copy of descZ into descZcpy for restoring each iteration //Matrix generation part. @@ -513,192 +373,141 @@ double HICMA_dmle_Tile(unsigned n, const double * theta, double * grad, void * a START_TIMING(matrix_gen_time); HICMA_problem_t hicma_problem; - hicma_problem.theta= (double *)theta; - hicma_problem.noise = 1e-4; - hicma_problem.ndim = 2; + hicma_problem.theta = (double *) theta; + hicma_problem.noise = 1e-4; + hicma_problem.ndim = 2; - //printf("N:%d\n", N); - //exit(0); // I need to change the location struct to vector array (TO DO) - double *xycoord = (double *) malloc( 2 * N * sizeof(double)); - - //printf("N=%d\n", N); - if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0 || - strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) - { int j =0; - for (i = 0; i < N; i++) - { + double *xycoord = (double *) malloc(2 * N * sizeof(double)); + + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) { + int j = 0; + for (i = 0; i < N; i++) { xycoord[i] = data->l1.x[j]; - xycoord[N+i] = data->l1.y[j]; - if(i % 2 != 0) + xycoord[N + i] = data->l1.y[j]; + if (i % 2 != 0) j++; } - hicma_problem.kernel_type = strcmp(data->dm, "gc") == 0? STARSH_SPATIAL_PARSIMONIOUS_GCD : STARSH_SPATIAL_PARSIMONIOUS_SIMD; - } - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || - strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) - { - int j =0; - for (i = 0; i < N; i++) - { - if(i == N/2) + hicma_problem.kernel_type = + strcmp(data->dm, "gc") == 0 ? STARSH_SPATIAL_PARSIMONIOUS_GCD : STARSH_SPATIAL_PARSIMONIOUS_SIMD; + } else if (strcmp(data->kernel_fun, "trivariate_matern_parsimonious") == 0) { + int j = 0; + for (i = 0; i < N; i++) { + xycoord[i] = data->l1.x[j]; + xycoord[N + i] = data->l1.y[j]; + if (i % 3 != 0) + j++; + } + hicma_problem.kernel_type = + strcmp(data->dm, "gc") == 0 ? STARSH_SPATIAL_PARSIMONIOUS_GCD : STARSH_SPATIAL_PARSIMONIOUS_SIMD; + } else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { + int j = 0; + for (i = 0; i < N; i++) { + if (i == N / 2) j = 0; xycoord[i] = data->l1.x[j]; - xycoord[N+i] = data->l1.y[j]; + xycoord[N + i] = data->l1.y[j]; j++; } - hicma_problem.kernel_type = strcmp(data->dm, "gc") == 0? STARSH_SPATIAL_PARSIMONIOUS2_GCD : STARSH_SPATIAL_PARSIMONIOUS2_SIMD; - } - - else - { for (i = 0; i < N; i++) - { + hicma_problem.kernel_type = + strcmp(data->dm, "gc") == 0 ? STARSH_SPATIAL_PARSIMONIOUS2_GCD : STARSH_SPATIAL_PARSIMONIOUS2_SIMD; + } else { + for (i = 0; i < N; i++) { xycoord[i] = data->l1.x[i]; - xycoord[N+i] = data->l1.y[i]; + xycoord[N + i] = data->l1.y[i]; } - hicma_problem.kernel_type = strcmp(data->dm, "gc") == 0? STARSH_SPATIAL_MATERN2_GCD : STARSH_SPATIAL_MATERN2_SIMD; + hicma_problem.kernel_type = + strcmp(data->dm, "gc") == 0 ? STARSH_SPATIAL_MATERN2_GCD : STARSH_SPATIAL_MATERN2_SIMD; } - /* - if( strcmp(data->dm, "gc") == 0) - printf("gcd metric is used: %d\n", STARSH_SPATIAL_MATERN2_GCD); - else - printf("ed metric is used: %d\n", STARSH_SPATIAL_MATERN2_SIMD); - */ - hicma_problem.point = xycoord; + hicma_problem.point = xycoord; HICMA_zgenerate_problem(hicma_data_type, 'S', 0, N, lts, hicma_descCUV->mt, hicma_descCUV->nt, &hicma_problem); - mpiF = hicma_problem.starsh_format; - HICMA_zgytlr_Tile(MorseLower, hicma_descCUV, hicma_descCD, hicma_descCrk, 0, maxrank, pow(10, -1.0 * acc), compress_diag, hicma_descC); + mpiF = hicma_problem.starsh_format; + + HICMA_zgytlr_Tile(HicmaLower, hicma_descCUV, hicma_descCD, hicma_descCrk, 0, maxrank, pow(10, -1.0 * acc), + compress_diag, hicma_descC); STOP_TIMING(matrix_gen_time); VERBOSE(" Done.\n"); - - - - - - // MORSE_MLE_dcmg_Tile_Async(MorseLower, MORSE_descC, msequence, &mrequest[0], &data->l1, &data->l1, (double *)theta, data->dm); - //***************** check matrices - //double *AA = (double *) malloc(N * N *sizeof(double)); - //double *BB = (double *) malloc(N * N * sizeof(double)); - // MORSE_Tile_to_Lapack(hicma_descC, BB, N); - //MORSE_desc_t *descDense = ((MLE_data*)data)->descC; - //HICMA_zuncompress(MorseUpperLower, hicma_descCUV, descDense, hicma_descCrk); - //HICMA_zdiag_vec2mat(hicma_descCD, descDense); - //MORSE_Tile_to_Lapack(descDense, AA, N); - //int i=0; - //double sum =0; - //for ( i = 0;i< n*n ;i++) - //sum += abs(AA[i]-BB[i]); - //printf("Sum= %f \n", sum); - //exit(0); + fflush(stdout); //****************************** - VERBOSE("LR: re-Copy z..."); + VERBOSE("LR: re-Copy z..."); START_TIMING(test_time); //re-store old Z - MORSE_dlacpy_Tile(MorseUpperLower, hicma_descZcpy, hicma_descZ); + HICMA_dlacpy_Tile(HicmaUpperLower, hicma_descZcpy, hicma_descZ); STOP_TIMING(test_time); VERBOSE(" Done.\n"); - //************* - /* - if(((MLE_data*)data)->check == 1 ) - { - if (((MLE_data*)data)->verbose == 1 && MORSE_My_Mpi_Rank() == 0) - fprintf(stderr, "LR: allocating and coping original covariance matrix for accuracy checking (Synthetic Dataset Generation Phase) ....."); - ((MLE_data*)data)->Adense = (double *) malloc(N * N * sizeof(double)); - ((MLE_data*)data)->Adense2 = (double *) malloc(N * N * sizeof(double)); - //printf("%d - %d\n",MORSE_descC->m,MORSE_descC->n); - MORSE_Tile_to_Lapack(MORSE_descC, ((MLE_data*)data)->Adense, N); - MORSE_Tile_to_Lapack(MORSE_descC, ((MLE_data*)data)->Adense2, N); - //fprintf(stderr," %6.4e", data->Adense[0]); - //print_matrix("test Hicma",n, n, data->Adense, n); - //PASTE_TILE_TO_LAPACK( MORSE_descC, data->Adense, data->check, double, M, M); - //PASTE_TILE_TO_LAPACK( MORSE_descC, data->Adense2, data->check, double, M, M); - if (((MLE_data*)data)->verbose == 1 && MORSE_My_Mpi_Rank() == 0) - fprintf(stderr, " Done.\n"); - } - */ - //************** + //Calculate Cholesky Factorization (C=LL-1) - VERBOSE("LR: Cholesky factorization of Sigma..."); + VERBOSE("LR: Cholesky factorization of Sigma..."); START_TIMING(time_facto); - //success = MORSE_dpotrf_Tile(MorseLower, MORSE_descC); - //HICMA_set_print_index(); - success = HICMA_zpotrf_Tile(MorseLower, hicma_descCUV, hicma_descCD, hicma_descCrk, 0, maxrank, pow(10, -1.0 * acc)); - //printf("%s %d EARLY EXIT\n", __FILE__, __LINE__); exit(0);//@KA + success = HICMA_dpotrf_Tile(HicmaLower, hicma_descCUV, hicma_descCD, hicma_descCrk, 0, maxrank, + pow(10, -1.0 * acc)); SUCCESS(success, "LR: Factorization cannot be performed..\n The matrix is not positive definite\n\n"); STOP_TIMING(time_facto); flops = flops + FLOPS_DPOTRF(N); VERBOSE(" Done."); - //For checking accuracy - //if(((MLE_data*)data)->check == 1 ) - //{ - // acc_struct acc_s = check_acc(data, N, ts); - // printf("normA:%.2e normDenseAppdiff:%.2e Accuracy: %.2e\n", acc_s.normA, acc_s.normDenseAppDiff, acc_s.accuracyDenseAppDiff); - // } - - //***************Kadir (should be removed) - //double * ranks = (double *) malloc( hicma_descCrk->mt * hicma_descCrk->nt * sizeof(double)); - //MORSE_Tile_to_Lapack(hicma_descCrk, ranks, hicma_descCrk->mt); - //HICMA_stat_t hicma_statrk_initial; - //zget_stat(MorseLower, ranks, hicma_descCrk->mt, hicma_descCrk->nt, hicma_descCrk->mt, &hicma_statrk_initial); - //printf("After LR cholesky max rank: %d\n", hicma_statrk_initial.max); - //********* + //********* //Calculate log(|C|) --> log(square(|L|)) VERBOSE("LR:Calculating the log determinant ..."); START_TIMING(logdet_calculate); - data->det = 0; - HICMA_MLE_dmdet_Tile_Async(hicma_descCD, hsequence, &hrequest[0], hicma_descdet); - MORSE_Sequence_Wait(hsequence); - logdet = 2 * data->det; + data->det = 0; + EXAGEOSTAT_TLR_MLE_dmdet_Tile_Async(hicma_descCD, hsequence, &hrequest[0], hicma_descdet); + HICMA_Sequence_Wait(hsequence); + logdet = 2 * data->det; STOP_TIMING(logdet_calculate); VERBOSE(" Done."); //Solving Linear System (L*X=Z)--->inv(L)*Z - VERBOSE("LR:Solving the linear system ..."); + VERBOSE("LR:Solving the linear system ..."); START_TIMING(time_solve); //Compute triangular solve LC*X = Z - //MORSE_dtrsm_Tile(MorseLeft,MorseLower,MorseNoTrans,MorseNonUnit,1,MORSE_descC,MORSE_descZ); - HICMA_ztrsmd_Tile(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, hicma_descCUV, hicma_descCD, hicma_descCrk, hicma_descZ, maxrank); + + HICMA_dtrsmd_Tile(HicmaLeft, HicmaLower, HicmaNoTrans, HicmaNonUnit, 1, hicma_descCUV, hicma_descCD, + hicma_descCrk,hicma_descZ, maxrank); STOP_TIMING(time_solve); - flops = flops + FLOPS_DTRSM(MorseLeft, N, NRHS); + flops = flops + FLOPS_DTRSM(ChamLeft, N, NRHS); VERBOSE(" Done."); + VERBOSE("Copy to chameleon"); + double *z = (double *) malloc(N * N * sizeof(double)); + HICMA_Tile_to_Lapack(hicma_descZ, z, N); + CHAMELEON_Lapack_to_Tile(z, N, CHAM_descZ); + free(z); VERBOSE("LR:Calculating dot product..."); - MORSE_dgemm_Tile (MorseTrans, MorseNoTrans, 1, hicma_descZ, hicma_descZ, 0, hicma_descproduct); - loglik = -0.5 * ((MLE_data*)data)->dotp - 0.5*logdet - (double) (N / 2.0) * log(2.0 * PI); - // loglik = -(N /2) + (N /2)*log (N) -(N / 2 ) * log(data->dotp) - 0.5*logdet - (double) (N / 2.0) * log(2.0 * PI); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAM_descZ, CHAM_descZ, 0, cham_descproduct); + loglik = -0.5 * ((MLE_data *) data)->dotp - 0.5 * logdet - (double) (N / 2.0) * log(2.0 * PI); + VERBOSE(" Done."); //Calculate the ranks - if(calc_rank_stat == 1) { - int i = 0; - int MBrk = 1; - int NBrk = 1; - int Mrk = hicma_descCUV->mt; - int Nrk = hicma_descCUV->mt; - if (data->iter_count == 0) - { - Ark_initial = (double *) calloc( Mrk * Nrk, sizeof(double)); - Ark_old = (double *) calloc( Mrk * Nrk, sizeof(double)); + if (calc_rank_stat == 1) { + int i = 0; + int MBrk = 1; + int NBrk = 1; + int Mrk = hicma_descCUV->mt; + int Nrk = hicma_descCUV->mt; + if (data->iter_count == 0) { + Ark_initial = (double *) calloc(Mrk * Nrk, sizeof(double)); + Ark_old = (double *) calloc(Mrk * Nrk, sizeof(double)); } - MORSE_Tile_to_Lapack( hicma_descCrk, Ark_initial, Mrk); - for(i=0;i Ark_old[i]) - { + HICMA_Tile_to_Lapack(hicma_descCrk, Ark_initial, Mrk); + for (i = 0; i < Mrk * Nrk; i++) { + if (Ark_initial[i] > Ark_old[i]) { Ark_old[i] = Ark_initial[i]; } } - if(MORSE_My_Mpi_Rank()==0){ - fwrite_array(hicma_descCrk->m, hicma_descCrk->n, hicma_descCrk->m, Ark_old,"ranks.csv"); + if (HICMA_My_Mpi_Rank() == 0) { + fwrite_array(hicma_descCrk->m, hicma_descCrk->n, hicma_descCrk->m, Ark_old, "ranks.csv"); print_array(hicma_descCrk->m, hicma_descCrk->n, hicma_descCrk->m, Ark_old, stdout); HICMA_stat_t hicma_statrk_initial; - zget_stat(MorseLower, Ark_old, Mrk, Nrk, Mrk, &hicma_statrk_initial); + zget_stat(ChamLower, Ark_old, Mrk, Nrk, Mrk, &hicma_statrk_initial); zprint_stat(hicma_statrk_initial); fflush(stderr); fflush(stdout); @@ -706,80 +515,55 @@ double HICMA_dmle_Tile(unsigned n, const double * theta, double * grad, void * a } //multiplicative scale - // data->variance = (1.0/N) * data->dotp; data->variance = theta[0]; } #if defined(CHAMELEON_USE_MPI) MPI_Bcast(&loglik,1, MPI_DOUBLE, 0, MPI_COMM_WORLD ); - //MPI_Bcast(theta,num_params, MPI_DOUBLE, 0, MPI_COMM_WORLD ); - if(MORSE_My_Mpi_Rank() == 0) + if(HICMA_My_Mpi_Rank() == 0) { #endif - //Print Iteration Summary - //fprintf(stderr,"***************************************************\n"); - //fprintf(stderr,"\n------ddotproduct: %.8f ", ((MLE_data*)data)->dotp); - //fprintf(stderr,"\n------logdet: %.8f ", logdet); - //fprintf(stderr,"------det: %.*e ", det); - //fprintf(stderr,"\n------expr2: %.8f ",((double) (N / 2) * log(2 * PI))); - //fprintf(stderr," ---- Theta1: %.8f ---- Theta2: %.8f ---- Theta3: %.8f ----LogLi: %.8f\n", theta[0], theta[1], theta[2],loglik); - - // if(strcmp(data->checkpoint_file,"") != 0) - // checkpointing(data->checkpoint_file, data->iter_count, theta, loglik, num_params); - - printf(" %3d- Model Parameters (", ((MLE_data*)data)->iter_count+1); - - if(data->log == 1) - fprintf(((MLE_data*)data)->pFileLog, " %3d- Model Parameters (", ((MLE_data*)data)->iter_count+1); - - if(strcmp(((MLE_data*)data)->kernel_fun, "bivariate_matern_parsimonious_profile") == 0 || strcmp(((MLE_data*)data)->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) - { - printf("%.8f, %.8f,", ((MLE_data*)data)->variance1, ((MLE_data*)data)->variance2); - i = 2; - results.estimated_theta[0] = data->variance1; - results.estimated_theta[1] = data->variance2; - } - else - i=0; - for(;ilog == 1) - fprintf(((MLE_data*)data)->pFileLog,"%.8f, ", theta[i]); - } - printf(")----> LogLi: %.18f\n", loglik); - if(((MLE_data*)data)->log == 1) - fprintf(((MLE_data*)data)->pFileLog, ")----> LogLi: %.18f\n", loglik); - fprintf(stderr," ---- Facto Time: %.8f\n", time_facto); - //fprintf(stderr," ---- logdet Time: %.8f\n", logdet_calculate); - //fprintf(stderr," ---- dtrsm Time: %.8f\n", time_solve); - fprintf(stderr," ---- Matrix Generation Time: %.8f\n", matrix_gen_time); - //fprintf(stderr," ---- re-store Z Vector Time: %.8f\n", test_time); - fprintf(stderr," ---- Total Time: %.8f\n", matrix_gen_time+time_facto + logdet_calculate + time_solve); - fprintf(stderr," ---- Gflop (ignore): %.8f\n", flops / 1e9 ); - //fprintf(stderr," ---- Gflop/s: %.8f\n", flops / 1e9 / (time_facto + time_solve)); - //fprintf(stderr," ---- Peak Performance: %.8f Gflops/s\n", (ncores*p_grid*q_grid*1.8.3) ); - //fprintf(stderr,"***************************************************\n"); + printf(" %3d- Model Parameters (", ((MLE_data *) data)->iter_count + 1); + + if (data->log == 1) + fprintf(((MLE_data *) data)->pFileLog, " %3d- Model Parameters (", ((MLE_data *) data)->iter_count + 1); + + if (strcmp(((MLE_data *) data)->kernel_fun, "bivariate_matern_parsimonious_profile") == 0 || + strcmp(((MLE_data *) data)->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { + printf("%.8f, %.8f,", ((MLE_data *) data)->variance1, ((MLE_data *) data)->variance2); + i = 2; + + } else + i = 0; + for (; i < num_params; i++) { + printf("%.8f", theta[i]); + if (i < num_params - 1) + printf(","); + + if (((MLE_data *) data)->log == 1) + fprintf(((MLE_data *) data)->pFileLog, "%.8f, ", theta[i]); + } + + printf(")----> LogLi: %.18f\n", loglik); + if (((MLE_data *) data)->log == 1) + fprintf(((MLE_data *) data)->pFileLog, ")----> LogLi: %.18f\n", loglik); + #if defined(CHAMELEON_USE_MPI) } #endif - ((MLE_data*)data)->iter_count++; + ((MLE_data *) data)->iter_count++; // for experiments - ((MLE_data*)data)->avg_exec_time_per_iter+=matrix_gen_time+time_facto + logdet_calculate + time_solve; - ((MLE_data*)data)->avg_flops_per_iter+=flops / 1e9 / (time_facto +time_solve); - ((MLE_data*)data)->final_loglik=loglik; + ((MLE_data *) data)->avg_exec_time_per_iter += matrix_gen_time + time_facto + logdet_calculate + time_solve; + ((MLE_data *) data)->avg_flops_per_iter += flops / 1e9 / (time_facto + time_solve); + ((MLE_data *) data)->final_loglik = loglik; - results.final_loglik=loglik; + results.final_loglik = loglik; return loglik; } -double HICMA_dmle_Tile_Async(unsigned n, const double * theta, double * grad, void * data) { +double EXAGEOSTAT_TLR_dmle_Tile_Async(unsigned n, const double *theta, double *grad, void *data) { //! Maximum Likelihood Evaluation (MLE) /*! -- HICMA-async * Returns the loglikelihhod value for the given theta. @@ -789,767 +573,541 @@ double HICMA_dmle_Tile_Async(unsigned n, const double * theta, double * grad, vo * @param[in] grad: double variable used by NLOPT library. * @param[in] data: MLE_data struct with different MLE inputs. * */ - //Initialization - /* double loglik = 0.0; - double ddotproduct = 0.0, - logdet = 0.0, - compress_diag = 0.0; - double time_facto = 0.0, - time_solve = 0.0, - logdet_calculate = 0.0, - matrix_gen_time = 0.0, - test_time = 0.0; - double flops = 0.0; - int success, maxrank, acc; - int verbose, N, NRHS; - int ts; - - MORSE_desc_t *MORSE_descC = (MORSE_desc_t *)((MLE_data*)data)->descC; - MORSE_desc_t *hicma_descCD = (MORSE_desc_t *)((MLE_data*)data)->hicma_descCD; - MORSE_desc_t *hicma_descCUV = (MORSE_desc_t *)((MLE_data*)data)->hicma_descCUV; - MORSE_desc_t *hicma_descCrk = (MORSE_desc_t *)((MLE_data*)data)->hicma_descCrk; - MORSE_desc_t *MORSE_descZ = (MORSE_desc_t *)((MLE_data*)data)->descZ; - MORSE_desc_t *MORSE_descZcpy = (MORSE_desc_t *)((MLE_data*)data)->descZcpy; - MORSE_desc_t *MORSE_descdet = (MORSE_desc_t *)((MLE_data*)data)->descdet; - MORSE_desc_t *MORSE_descproduct = (MORSE_desc_t *)((MLE_data*)data)->descproduct; - MORSE_sequence_t *msequence = (MORSE_sequence_t *)((MLE_data*)data)->sequence; - MORSE_request_t *mrequest = (MORSE_request_t *)((MLE_data*)data)->request; - verbose = ((MLE_data*)data)->verbose; - N = hicma_descCD->m; - NRHS = MORSE_descZ->n; - ts = MORSE_descZ->mt; //should be preinted to check - maxrank = ((MLE_data*)data)->hicma_maxrank; - acc = ((MLE_data*)data)->hicma_acc; - ((MLE_data*)data)->det = 0.0; - ((MLE_data*)data)->dotp = 0.0; - if (((MLE_data*)data)->iter_count==0) - //Save a copy of descZ into descZcpy for restoring each iteration - MORSE_dlacpy_Tile_Async(MorseUpperLower ,MORSE_descZcpy,MORSE_descZ,msequence,&mrequest[0]); - //Generate new co-variance matrix C based on new theta - if (verbose == 1 && MORSE_My_Mpi_Rank() == 0) - fprintf(stderr, "LR:Generate New Covariance Matrix..."); - START_TIMING(matrix_gen_time); - //MORSE_MLE_cmg_Tile_Async(MORSE_descC, msequence, &mrequest[0], &((MLE_data*)data)->l1, &((MLE_data*)data)->l1, theta, ((MLE_data*)data)->dm); - //ddcay is any vale for GEOSTAT (not used) - HICMA_problem_t hicma_problem; - hicma_problem.theta = (double *)theta; - hicma_problem.noise = 0.0; - hicma_problem.ndim = 2; - HICMA_zgenerate_problem(HICMA_STARSH_PROB_GEOSTAT, 'S', 0, n, ts, hicma_descCUV->mt, hicma_descCUV->nt, &hicma_problem); - mpiF = hicma_problem.starsh_format; - HICMA_zgytlr_Tile_Async(MorseLower, hicma_descCUV, hicma_descCD, hicma_descCrk, 0, maxrank, pow(10, -1.0 * acc), compress_diag, MORSE_descC, msequence, &mrequest[0]); - STOP_TIMING(matrix_gen_time); - if (verbose == 1 && MORSE_My_Mpi_Rank() == 0) - fprintf(stderr, " Done.\n"); - //Re-store old Z - if (verbose == 1 && MORSE_My_Mpi_Rank() == 0) - fprintf(stderr, "LR: Re-Copy z..."); - START_TIMING(test_time); - MORSE_dlacpy_Tile_Async(MorseUpperLower, MORSE_descZcpy, MORSE_descZ, msequence, &mrequest[0]); - STOP_TIMING(test_time); - if (verbose == 1 && MORSE_My_Mpi_Rank() == 0) - fprintf(stderr, " Done.\n"); - //Calculate Cholesky Factorization (C=LL-1) - if (verbose == 1 && MORSE_My_Mpi_Rank() == 0) - fprintf(stderr, "LR: Cholesky factorization of Sigma..."); - START_TIMING(time_facto); - //success = MORSE_dpotrf_Tile(MorseLower, MORSE_descC); - success = HICMA_zpotrf_Tile_Async(MorseLower, hicma_descCUV, hicma_descCD, hicma_descCrk, 0, maxrank, pow(10, -1.0 * acc), msequence, &mrequest[0]); - STOP_TIMING(time_facto); - if (success != MORSE_SUCCESS) { - fprintf(stderr,"Factorization cannot be performed..\n" - "The matrix is not positive definite\n\n"); - exit(0); - } - flops = flops + FLOPS_DPOTRF(N); - if (verbose == 1 && MORSE_My_Mpi_Rank() == 0) - fprintf(stderr, "LR: Done.\n"); - //Calculate log(|C|) --> log(square(|L|)) - if (verbose == 1 && MORSE_My_Mpi_Rank() == 0) - fprintf(stderr, "LR:Calculating the log determinant ..."); - START_TIMING(logdet_calculate); - ((MLE_data*)data)->det = 0; - MORSE_MLE_dmdet_Tile_Async(MORSE_descC, msequence, &mrequest[0],MORSE_descdet); - MORSE_Sequence_Wait(msequence); - logdet = 2 * ((MLE_data*)data)->det; - STOP_TIMING(logdet_calculate); - if (verbose == 1 && MORSE_My_Mpi_Rank() == 0) - fprintf(stderr, "LR: Done.\n"); - //Solving Linear System (L*X=Z)--->inv(L)*Z - if (verbose == 1 && MORSE_My_Mpi_Rank() == 0) - fprintf(stderr, "LR: Solving the linear system ...\n"); - START_TIMING(time_solve); - //Compute triangular solve LC*X = Z - //MORSE_dtrsm_Tile_Async(MorseLeft,MorseLower,MorseNoTrans,MorseNonUnit,1,MORSE_descC,MORSE_descZ,msequence,&mrequest[0]); - HICMA_ztrsmd_Tile_Async( MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, hicma_descCUV, hicma_descCD, hicma_descCrk, MORSE_descZ, maxrank, msequence, &mrequest[0]); - STOP_TIMING(time_solve); - flops = flops + FLOPS_DTRSM(MorseLeft,N, NRHS); - if (verbose == 1 && MORSE_My_Mpi_Rank() == 0) - fprintf(stderr, " Done.\n"); - if (verbose == 1 && MORSE_My_Mpi_Rank() == 0) - fprintf(stderr, "LR:Calculating dot product..."); - //dotp=0; - //MORSE_MLE_core_ddotp_Async(MORSE_descZ,MORSE_descproduct,msequence, &mrequest[0]); - //MORSE_Sequence_Wait(msequence); - //((MLE_data*)data)->dotp=0; - MORSE_dgemm_Tile_Async(MorseTrans, MorseNoTrans, 1, MORSE_descZ, MORSE_descZ, 0, MORSE_descproduct,msequence,&mrequest[0]); - //fprintf(stderr,"sucess: %d", success); - //exit(0); - loglik = -0.5 * ((MLE_data*)data)->dotp - 0.5*logdet - (double) (N / 2.0) * log(2.0 * PI); - if (verbose == 1 && MORSE_My_Mpi_Rank() == 0) - fprintf(stderr, "LR: Done.\n"); -#if defined(CHAMELEON_USE_MPI) - MPI_Bcast(&loglik,1, MPI_DOUBLE, 0, MPI_COMM_WORLD ); - MPI_Bcast(theta,3, MPI_DOUBLE, 0, MPI_COMM_WORLD ); - if(MORSE_My_Mpi_Rank() == 0) - { -#endif - //Print Iteration Summary - //fprintf(stderr,"***************************************************\n"); - //fprintf(stderr,"------ddotproduct: %.8f ", ((MLE_data*)data)->dotp); - //fprintf(stderr,"------logdet: %.8f ", logdet); - //fprintf(stderr,"------det: %.*e ", det); - //fprintf(stderr,"------expr2: %.8f ",((double) (N / 2) * log(2 * PI))); - //fprintf(stderr," ---- Theta1: %.8f ---- Theta2: %.8f ---- Theta3: %.8f ----LogLi: %.8f\n", theta[0], theta[1], theta[2],loglik); - fprintf(stderr," %3d- Model Parameters (varinace, range, smoothness): (%.8f, %.8f, %.8f) ----> LogLi: %.8f\n", ((MLE_data*)data)->iter_count+1, theta[0], theta[1], theta[2],loglik); - if(((MLE_data*)data)->log == 1) - fprintf(((MLE_data*)data)->pFileLog, " %3d- Model Parameters (varinace, range, smoothness): (%.8f, %.8f, %.8f) ----> LogLi: %.8f\n", ((MLE_data*)data)->iter_count+1, theta[0], theta[1], theta[2],loglik); - //fprintf(stderr," ---- Facto Time: %.8f\n", time_facto); - //fprintf(stderr," ---- logdet Time: %.8f\n", logdet_calculate); - //fprintf(stderr," ---- dtrsm Time: %.8f\n", time_solve); - //fprintf(stderr," ---- Matrix Generation Time: %.8f\n", matrix_gen_time); - //fprintf(stderr," ---- re-store Z Vector Time: %.8f\n", test_time); - //fprintf(stderr," ---- Total Time: %.8f\n", matrix_gen_time+time_facto + logdet_calculate + time_solve); - //fprintf(stderr," ---- Gflop (ignore): %.8f\n", flops / 1e9 ); - //fprintf(stderr," ---- Gflop/s: %.8f\n", flops / 1e9 / (time_facto + time_solve)); - //fprintf(stderr," ---- Peak Performance: %.8f Gflops/s\n", (ncores*p_grid*q_grid*1.8.3) ); - //fprintf(stderr,"***************************************************\n"); -#if defined(CHAMELEON_USE_MPI) - } -#endif - - ((MLE_data*)data)->iter_count++; - // for experiments - ((MLE_data*)data)->avg_exec_time_per_iter+=matrix_gen_time+time_facto + logdet_calculate + time_solve; - ((MLE_data*)data)->avg_flops_per_iter+=flops / 1e9 / (time_facto +time_solve); - ((MLE_data*)data)->final_loglik=loglik; - return loglik; - */ } -void HICMA_dmle_Predict_Allocate(MLE_data *MORSE_data, int nZmiss, int nZobs, int lts, int p_grid, int q_grid, int mse_flag) - //! Allocate prediction operation descriptors. - /*! - * Returns MLE_data data with initial values and new descriptors locations. - * @param[in] MORSE_data: MLE_data struct with different MLE inputs. - * @param[in] nZmiss: number of missing values (unknown observations). - * @param[in] nZobs: number of observed values (known observations). - * @param[in] dts: tile size (MB). - * @param[in] p_grid: p_grid in the case of distributed system. - * @param[in] q_grid: q_grid in the case of distributed system. - * @param[in] mse_flag: flag to enable or disable Mean Square Error (MSE) computing. - * */ +void +EXAGEOSTAT_TLR_dmle_Predict_Allocate(MLE_data *CHAM_data, int nZmiss, int nZobs, int lts, int p_grid, int q_grid, + int mse_flag) +//! Allocate prediction operation descriptors. +/*! + * Returns MLE_data data with initial values and new descriptors locations. + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. + * @param[in] nZmiss: number of missing values (unknown observations). + * @param[in] nZobs: number of observed values (known observations). + * @param[in] dts: tile size (MB). + * @param[in] p_grid: p_grid in the case of distributed system. + * @param[in] q_grid: q_grid in the case of distributed system. + * @param[in] mse_flag: flag to enable or disable Mean Square Error (MSE) computing. + * */ { int MBC, NBC, MC, NC; int MBD, NBD, MD, ND; int MBUV, NBUV, MUV, NUV; int MBrk, NBrk, Mrk, Nrk; - MORSE_desc_t *MORSE_descZmiss = NULL; - MORSE_desc_t *hicma_descC = NULL; - MORSE_desc_t *MORSE_descC12 = NULL; - MORSE_desc_t *hicma_descC22D = NULL; - MORSE_desc_t *hicma_descC22UV = NULL; - MORSE_desc_t *hicma_descC22rk = NULL; - MORSE_desc_t *MORSE_descmse = NULL; - MORSE_desc_t *MORSE_descZactual = NULL; - MORSE_desc_t *MORSE_descZobs = NULL; - - MLE_data *data = (MLE_data*) MORSE_data; - - if(nZmiss <= 0) - { - fprintf(stderr," Number of missing values should be positive value\n"); + CHAM_desc_t *CHAMELEON_descZmiss = NULL; + CHAM_desc_t *hicma_descC = NULL; + CHAM_desc_t *CHAM_descC12 = NULL; + CHAM_desc_t *hicma_descC22D = NULL; + CHAM_desc_t *hicma_descC22UV = NULL; + CHAM_desc_t *hicma_descC22rk = NULL; + CHAM_desc_t *CHAM_descmse = NULL; + CHAM_desc_t *CHAMELEON_descZactual = NULL; + CHAM_desc_t *CHAMELEON_descZobs = NULL; + + MLE_data *data = (MLE_data *) CHAM_data; + + if (nZmiss <= 0) { + fprintf(stderr, " Number of missing values should be positive value\n"); return; } //Descriptors Creation - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZobs, NULL, MorseRealDouble, lts, lts, lts * lts, nZobs, 1, 0, 0, nZobs, 1, p_grid, q_grid); - - if( mse_flag == 1) - { - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZactual, NULL, MorseRealDouble, lts, lts, lts * lts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descmse, &data->mserror, MorseRealDouble, lts, lts, lts * lts, 1, 1, 0, 0, 1, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZobs, NULL, ChamRealDouble, lts, lts, lts * lts, nZobs, 1, 0, 0, + nZobs, 1, p_grid, q_grid); + + if (mse_flag == 1) { + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZactual, NULL, ChamRealDouble, lts, lts, lts * lts, nZmiss, 1, 0, + 0, nZmiss, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descmse, &data->mserror, ChamRealDouble, lts, lts, lts * lts, 1, 1, 0, 0, + 1, 1, p_grid, q_grid); } - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZmiss, NULL, MorseRealDouble, lts, lts, lts * lts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZmiss, NULL, ChamRealDouble, lts, lts, lts * lts, nZmiss, 1, 0, 0, + nZmiss, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC12, NULL, MorseRealDouble, lts, lts, lts * lts, nZmiss, nZobs, 0, 0, nZmiss, nZobs, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descC12, NULL, ChamRealDouble, lts, lts, lts * lts, nZmiss, nZobs, 0, 0, + nZmiss, nZobs, p_grid, q_grid); //********************************************************** //Sameh //CDense Descriptor - if(data->check == 1) - { - MBC = lts; - NBC = lts; - MC = nZobs; - NC = nZobs; - } - else - { - MBC = 1; - NBC = 1; - MC = lts; - NC = lts; + if (data->check == 1) { + MBC = lts; + NBC = lts; + MC = nZobs; + NC = nZobs; + } else { + MBC = 1; + NBC = 1; + MC = lts; + NC = lts; } - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC, NULL , MorseRealDouble, MBC, NBC , MBC * NBC, MC, NC, 0, 0, MC, NC, p_grid, q_grid); - //printf("(1)%d - %d\n", MC, NC); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC, NULL, ChamRealDouble, MBC, NBC, MBC * NBC, MC, NC, 0, 0, MC, NC, + p_grid, q_grid); + MBD = lts; + NBD = lts; + MD = nZobs; + ND = MBD; - MBD = lts; - NBD = lts; - MD = nZobs; - ND = MBD; - - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22D, NULL , MorseRealDouble, MBD, NBD, MBD * NBD, MD, ND, 0, 0, MD, ND, p_grid,q_grid); - //printf("(2)%d - %d\n", MD, ND); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22D, NULL, ChamRealDouble, MBD, NBD, MBD * NBD, MD, ND, 0, 0, MD, ND, + p_grid, q_grid); //CAD Descriptor - MBUV = lts; - NBUV = 2 * data->hicma_maxrank; - MUV = -1; + MBUV = lts; + NBUV = 2 * data->hicma_maxrank; + MUV = -1; int N_over_lts_times_lts = nZobs / lts * lts; - if(N_over_lts_times_lts < nZobs) { + if (N_over_lts_times_lts < nZobs) { MUV = N_over_lts_times_lts + lts; - } - else if (N_over_lts_times_lts == nZobs) { + } else if (N_over_lts_times_lts == nZobs) { MUV = N_over_lts_times_lts; - } - else { + } else { printf("%s %d: This case should not happen\n", __FILE__, __LINE__); exit(-1); } - double expr = (double)MUV / (double)lts; - NUV = 2 * expr * data->hicma_maxrank; - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22UV, NULL , MorseRealDouble, MBUV, NBUV, MBUV * NBUV, MUV, NUV, 0, 0, MUV, NUV, p_grid, q_grid); - //printf("(3)%d - %d\n", MUV, NUV); + double expr = (double) MUV / (double) lts; + NUV = 2 * expr * data->hicma_maxrank; + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22UV, NULL, ChamRealDouble, MBUV, NBUV, MBUV * NBUV, MUV, NUV, 0, 0, + MUV, NUV, p_grid, q_grid); //CUV Descriptor - MBrk = 1; - NBrk = 1; - Mrk = hicma_descC22UV->mt; - Nrk = hicma_descC22UV->mt; - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22rk, NULL , MorseRealDouble, MBrk, NBrk, MBrk * NBrk, Mrk, Nrk, 0, 0, Mrk, Nrk, p_grid, q_grid); + MBrk = 1; + NBrk = 1; + Mrk = hicma_descC22UV->mt; + Nrk = hicma_descC22UV->mt; + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22rk, NULL, ChamRealDouble, MBrk, NBrk, MBrk * NBrk, Mrk, Nrk, 0, 0, + Mrk, Nrk, p_grid, q_grid); //Initiate data descriptors - data->descZmiss = MORSE_descZmiss; - data->hicma_descC = hicma_descC; - data->hicma_descC22D = hicma_descC22D; - data->hicma_descC22UV = hicma_descC22UV; - data->hicma_descC22rk = hicma_descC22rk; - data->descC12 = MORSE_descC12; - data->descmse = MORSE_descmse; - data->descZactual = MORSE_descZactual; - data->descZobs = MORSE_descZobs; + data->descZmiss = CHAMELEON_descZmiss; + data->hicma_descC = hicma_descC; + data->hicma_descC22D = hicma_descC22D; + data->hicma_descC22UV = hicma_descC22UV; + data->hicma_descC22rk = hicma_descC22rk; + data->descC12 = CHAM_descC12; + data->descmse = CHAM_descmse; + data->descZactual = CHAMELEON_descZactual; + data->descZobs = CHAMELEON_descZobs; } //Predict missing values base on a set of given values and covariance matrix -double HICMA_dmle_Predict_Tile(MLE_data *MORSE_data, double * theta, int nZmiss, int nZobs, double *Zobs, double *Zactual, double *Zmiss, int n, int lts) - //! //Predict missing values base on a set of given values and covariance matrix - /*! -- HICMA-sync - * Returns the prediction Mean Square Error (MSE) as double - * @param[in] MORSE_data: MLE_data struct with different MLE inputs. - * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) - * that is used to to generate the Covariance Matrix. - * @param[in] nZmiss: number of missing values (unknown observations). - * @param[in] nZobs: number of observed values (known observations). - * @param[in] Zobs: observed values vector (known observations). - * @param[in] Zmiss missing values vector (unknown observations). - * @param[in] Zactual: actual missing values vector (in the case of testing MSE). - * @param[in] n: number of spatial locations. - * */ +double EXAGEOSTAT_TLR_dmle_Predict_Tile(MLE_data *CHAM_data, double *theta, int nZmiss, int nZobs, double *Zobs, + double *Zactual, + double *Zmiss, int n, int lts) +//! //Predict missing values base on a set of given values and covariance matrix +/*! -- HICMA-sync + * Returns the prediction Mean Square Error (MSE) as double + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. + * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] nZmiss: number of missing values (unknown observations). + * @param[in] nZobs: number of observed values (known observations). + * @param[in] Zobs: observed values vector (known observations). + * @param[in] Zmiss missing values vector (unknown observations). + * @param[in] Zactual: actual missing values vector (in the case of testing MSE). + * @param[in] n: number of spatial locations. + * */ { //initialization - //double *z = NULL; - //double *streamdata = NULL; - double time_solve = 0.0; - double mat_gen_time = 0.0; - double time_gemm = 0.0; - double time_mse = 0.0; - double flops = 0.0; - //int MBC, NBC, MC, NC; - //int MBD, NBD, MD, ND; - //int MBUV, NBUV, MUV, NUV; - //int MBrk, NBrk, Mrk, Nrk; - int maxrank = 0; - int acc = 0; - int hicma_data_type = 0; - int compress_diag = 0; - - MORSE_desc_t *MORSE_descZmiss = NULL; - MORSE_desc_t *hicma_descC = NULL; - MORSE_desc_t *MORSE_descC12 = NULL; - MORSE_desc_t *hicma_descC22D = NULL; - MORSE_desc_t *hicma_descC22UV = NULL; - MORSE_desc_t *hicma_descC22rk = NULL; - MORSE_desc_t *MORSE_descmse = NULL; - MORSE_desc_t *MORSE_descZactual = NULL; - MORSE_desc_t *MORSE_descZobs = NULL; - - MLE_data *data = (MLE_data*) MORSE_data; - MORSE_sequence_t *hsequence = (MORSE_sequence_t *) data->hsequence; - MORSE_request_t *hrequest = (MORSE_request_t *) data->hrequest; - data->mserror = 0; - maxrank = data->hicma_maxrank; - acc = data->hicma_acc; - hicma_data_type = data->hicma_data_type; - - if(nZmiss <= 0) - { - fprintf(stderr," Number of missing values should be positive value\n"); + + double time_solve = 0.0; + double mat_gen_time = 0.0; + double time_gemm = 0.0; + double time_mse = 0.0; + double flops = 0.0; + int maxrank = 0; + int acc = 0; + int hicma_data_type = 0; + int compress_diag = 0; + + CHAM_desc_t *CHAMELEON_descZmiss = NULL; + CHAM_desc_t *hicma_descC = NULL; + CHAM_desc_t *CHAM_descC12 = NULL; + CHAM_desc_t *hicma_descC22D = NULL; + CHAM_desc_t *hicma_descC22UV = NULL; + CHAM_desc_t *hicma_descC22rk = NULL; + CHAM_desc_t *CHAM_descmse = NULL; + CHAM_desc_t *CHAMELEON_descZactual = NULL; + CHAM_desc_t *CHAMELEON_descZobs = NULL; + + MLE_data *data = (MLE_data *) CHAM_data; + RUNTIME_sequence_t *hsequence = (RUNTIME_sequence_t *) data->hsequence; + RUNTIME_request_t *hrequest = (RUNTIME_request_t *) data->hrequest; + data->mserror = 0; + maxrank = data->hicma_maxrank; + acc = data->hicma_acc; + hicma_data_type = data->hicma_data_type; + + if (nZmiss <= 0) { + fprintf(stderr, " Number of missing values should be positive value\n"); return -1; } - - - - //Descriptors Creation - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZobs, NULL, MorseRealDouble, lts, lts, lts * lts, nZobs, 1, 0, 0, nZobs, 1, p_grid, q_grid); - - // if( Zactual != NULL) - // { - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZactual, NULL, MorseRealDouble, lts, lts, lts * lts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descmse, &data->mserror, MorseRealDouble, lts, lts, lts * lts, 1, 1, 0, 0, 1, 1, p_grid, q_grid); - //} - //EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZmiss, NULL, MorseRealDouble, lts, lts, lts * lts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - - - - //EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC12, NULL, MorseRealDouble, lts, lts, lts * lts, nZmiss, nZobs, 0, 0, nZmiss, nZobs, p_grid, q_grid); - //********************************************************** - - //Sameh - //CDense Descriptor - //if(data->check == 1) - // { - // MBC = lts; - // NBC = lts; - // MC = nZobs; - // NC = nZobs; - // } - // else - //{ - // MBC = 1; - // NBC = 1; - // MC = lts; - // NC = lts; - // } - - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC, NULL , MorseRealDouble, MBC, NBC , MBC * NBC, MC, NC, 0, 0, MC, NC, p_grid, q_grid); - // printf("(1)%d - %d\n", MC, NC); - - //MBD = lts; - // NBD = lts; - // MD = nZobs; - //ND = MBD; - - //EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22D, NULL , MorseRealDouble, MBD, NBD, MBD * NBD, MD, ND, 0, 0, MD, ND, p_grid,q_grid); - //printf("(2)%d - %d\n", MD, ND); - //CAD Descriptor - //MBUV = lts; - //NBUV = 2 * data->hicma_maxrank; - //MUV = -1; - //int N_over_lts_times_lts = nZobs / lts * lts; - //if(N_over_lts_times_lts < nZobs) { - // MUV = N_over_lts_times_lts + lts; - //} - //else if (N_over_lts_times_lts == nZobs) { - // MUV = N_over_lts_times_lts; - // } - // else { - //printf("%s %d: This case should not happen\n", __FILE__, __LINE__); - //exit(-1); - //} - //double expr = (double)MUV / (double)lts; - //NUV = 2 * expr * data->hicma_maxrank; - //EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22UV, NULL , MorseRealDouble, MBUV, NBUV, MBUV * NBUV, MUV, NUV, 0, 0, MUV, NUV, p_grid, q_grid); - //printf("(3)%d - %d\n", MUV, NUV); - - //CUV Descriptor - //MBrk = 1; - //NBrk = 1; - //Mrk = hicma_descC22UV->mt; - //Nrk = hicma_descC22UV->mt; - //EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22rk, NULL , MorseRealDouble, MBrk, NBrk, MBrk * NBrk, Mrk, Nrk, 0, 0, Mrk, Nrk, p_grid, q_grid); - - - //Initiate data descriptors - MORSE_descZmiss = data->descZmiss; - hicma_descC = data->hicma_descC; - hicma_descC22D = data->hicma_descC22D; - hicma_descC22UV = data->hicma_descC22UV; - hicma_descC22rk = data->hicma_descC22rk; - MORSE_descC12 = data->descC12; - MORSE_descmse = data->descmse; - MORSE_descZactual = data->descZactual; - MORSE_descZobs = data->descZobs; + CHAMELEON_descZmiss = data->descZmiss; + hicma_descC = data->hicma_descC; + hicma_descC22D = data->hicma_descC22D; + hicma_descC22UV = data->hicma_descC22UV; + hicma_descC22rk = data->hicma_descC22rk; + CHAM_descC12 = data->descC12; + CHAM_descmse = data->descmse; + CHAMELEON_descZactual = data->descZactual; + CHAMELEON_descZobs = data->descZobs; //**** - //data->descZmiss = MORSE_descZmiss; - //data->hicma_descC = hicma_descC; - //data->hicma_descC22D = hicma_descC22D; - //data->hicma_descC22UV = hicma_descC22UV; - //data->hicma_descC22rk = hicma_descC22rk; - //data->descC12 = MORSE_descC12; - //data->descmse = MORSE_descmse; - //data->descZactual = MORSE_descZactual; - //data->descZobs = MORSE_descZobs; - //Copy data to vectors VERBOSE("Copy measurments vector to descZobs descriptor..."); - //MORSE_MLE_dzcpy_Tile_Async(MORSE_descZobs, Zobs, msequence, mrequest); - MORSE_Lapack_to_Tile( Zobs, nZobs, MORSE_descZobs); + + CHAMELEON_Lapack_to_Tile(Zobs, nZobs, CHAMELEON_descZobs); VERBOSE(" Done.\n"); - if( Zactual != NULL) - { + if (Zactual != NULL) { VERBOSE("Copy actual measurments vector to descZactual descriptor..."); - //MORSE_MLE_dzcpy_Tile_Async(MORSE_descZactual, Zactual, msequence, mrequest); - MORSE_Lapack_to_Tile( Zactual, nZmiss, MORSE_descZactual); + CHAMELEON_Lapack_to_Tile(Zactual, nZmiss, CHAMELEON_descZactual); VERBOSE(" Done.\n"); } - //********************************************* #if defined(CHAMELEON_USE_MPI) MPI_Bcast(&data->variance,1, MPI_DOUBLE, 0, MPI_COMM_WORLD ); #endif - theta[0]=data->variance; + theta[0] = data->variance; printf("estimated parameters: %f - %f - %f\n", theta[0], theta[1], theta[2]); VERBOSE(" LR: Generate C22 Covariance Matrix... (Prediction Stage)"); START_TIMING(mat_gen_time); HICMA_problem_t hicma_problem; - hicma_problem.theta= (double *)theta; - hicma_problem.noise = 1e-4; - hicma_problem.ndim = 2; + hicma_problem.theta = (double *) theta; + hicma_problem.noise = 1e-4; + hicma_problem.ndim = 2; - double *xycoord = (double *) malloc( 4 * nZobs * sizeof(double)); + double *xycoord = (double *) malloc(4 * nZobs * sizeof(double)); int i; - - if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0 || - strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) - { int j =0; - for (i = 0; i < 2*nZobs; i++) - { + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) { + int j = 0; + for (i = 0; i < 2 * nZobs; i++) { xycoord[i] = data->lobs.x[j]; - xycoord[2*nZobs+i] = data->lobs.y[j]; - if(i % 2 != 0) + xycoord[2 * nZobs + i] = data->lobs.y[j]; + if (i % 2 != 0) j++; - // printf ("%f - %f\n", data->lobs.x[j], data->lobs.y[j]); } - hicma_problem.kernel_type = strcmp(data->dm, "gc") == 0? STARSH_SPATIAL_PARSIMONIOUS_GCD : STARSH_SPATIAL_PARSIMONIOUS_SIMD; - } - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || - strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) - { - int j =0; - for (i = 0; i < nZobs; i++) - { - if(i == nZobs/2) + hicma_problem.kernel_type = + strcmp(data->dm, "gc") == 0 ? STARSH_SPATIAL_PARSIMONIOUS_GCD : STARSH_SPATIAL_PARSIMONIOUS_SIMD; + } else if (strcmp(data->kernel_fun, "trivariate_matern_parsimonious")) { + int j = 0; + for (i = 0; i < 3 * nZobs; i++) { + xycoord[i] = data->lobs.x[j]; + xycoord[3 * nZobs + i] = data->lobs.y[j]; + if (i % 3 != 0) + j++; + } + printf("STARSH_SPATIAL_TRIPARSIMONIOUS_GCD is not implemented yet\n"); + exit(0); + + } else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { + int j = 0; + for (i = 0; i < nZobs; i++) { + if (i == nZobs / 2) j = 0; xycoord[i] = data->lobs.x[i]; - xycoord[nZobs+i] = data->lobs.y[i]; + xycoord[nZobs + i] = data->lobs.y[i]; j++; } - hicma_problem.kernel_type = strcmp(data->dm, "gc") == 0? STARSH_SPATIAL_PARSIMONIOUS2_GCD : STARSH_SPATIAL_PARSIMONIOUS2_SIMD; - } - else - { + hicma_problem.kernel_type = + strcmp(data->dm, "gc") == 0 ? STARSH_SPATIAL_PARSIMONIOUS2_GCD : STARSH_SPATIAL_PARSIMONIOUS2_SIMD; + } else { // I need to change the location struct to vector array (TO DO) - for (i = 0; i < nZobs; i++) - { + for (i = 0; i < nZobs; i++) { xycoord[i] = data->lobs.x[i]; - xycoord[nZobs+i] = data->lobs.y[i]; - // printf ("%f - %f\n", data->lobs.x[i], data->lobs.y[i]); + xycoord[nZobs + i] = data->lobs.y[i]; + } - hicma_problem.kernel_type = strcmp(data->dm, "gc") == 0? STARSH_SPATIAL_MATERN2_GCD : STARSH_SPATIAL_MATERN2_SIMD; + hicma_problem.kernel_type = + strcmp(data->dm, "gc") == 0 ? STARSH_SPATIAL_MATERN2_GCD : STARSH_SPATIAL_MATERN2_SIMD; } - hicma_problem.point = xycoord; - - HICMA_zgenerate_problem(hicma_data_type, 'S', 0, nZobs, lts, hicma_descC22UV->mt, hicma_descC22UV->nt, &hicma_problem); + hicma_problem.point = xycoord; + HICMA_zgenerate_problem(hicma_data_type, 'S', 0, nZobs, lts, hicma_descC22UV->mt, hicma_descC22UV->nt, + &hicma_problem); mpiF = hicma_problem.starsh_format; - HICMA_zgytlr_Tile(MorseLower, hicma_descC22UV, hicma_descC22D, hicma_descC22rk, 0, maxrank, pow(10, -1.0 * acc), compress_diag, hicma_descC); + HICMA_zgytlr_Tile(ChamLower, hicma_descC22UV, hicma_descC22D, hicma_descC22rk, 0, maxrank, pow(10, -1.0 * acc), + compress_diag, hicma_descC); VERBOSE(" Done.\n"); //Generate C12 covariance matrix VERBOSE("LR: Generate C12 Covariance Matrix... (Prediction Stage)"); - MORSE_MLE_dcmg_Tile_Async(MorseLower, MORSE_descC12, &data->lmiss, &data->lobs, &data->lm, theta, data->dm, data->kernel_fun, hsequence, hrequest); - MORSE_Sequence_Wait(hsequence); - //flops = flops + FLOPS_DPOTRF(nZmiss); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAM_descC12, &data->lmiss, &data->lobs, &data->lm, theta, data->dm, + data->kernel_fun, hsequence, hrequest); + CHAMELEON_Sequence_Wait(hsequence); + VERBOSE(" Done.\n"); STOP_TIMING(mat_gen_time); //*************************************** - START_TIMING(time_solve); + START_TIMING(time_solve); VERBOSE("Calculate dposv C22 Covariance Matrix... (Prediction Stage)"); - HICMA_zpotrf_Tile(MorseLower, hicma_descC22UV, hicma_descC22D, hicma_descC22rk, 0, maxrank, pow(10, -1.0 * acc)); - HICMA_ztrsmd_Tile(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, hicma_descC22UV, hicma_descC22D, hicma_descC22rk, MORSE_descZobs, maxrank); - HICMA_ztrsmd_Tile(MorseLeft, MorseLower, MorseTrans, MorseNonUnit, 1, hicma_descC22UV, hicma_descC22D, hicma_descC22rk, MORSE_descZobs, maxrank); + HICMA_dpotrf_Tile(ChamLower, hicma_descC22UV, hicma_descC22D, hicma_descC22rk, 0, maxrank, pow(10, -1.0 * acc)); + HICMA_dtrsmd_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, hicma_descC22UV, hicma_descC22D, + hicma_descC22rk, CHAMELEON_descZobs, maxrank); + HICMA_dtrsmd_Tile(ChamLeft, ChamLower, ChamTrans, ChamNonUnit, 1, hicma_descC22UV, hicma_descC22D, hicma_descC22rk, + CHAMELEON_descZobs, maxrank); flops = flops + FLOPS_DPOTRF(nZobs); - flops = flops + FLOPS_DTRSM(MorseLeft, nZobs, nZobs); + flops = flops + FLOPS_DTRSM(ChamLeft, nZobs, nZobs); VERBOSE(" Done.\n"); STOP_TIMING(time_solve); - //**************************************** - //HICMA_zuncompress(MorseUpperLower, hicma_descCUV, MORSE_descC22, hicma_descCrk); - // HICMA_zdiag_vec2mat(hicma_descCD, MORSE_descC22); - //**********************************dgemm START_TIMING(time_gemm); VERBOSE("Calculate dgemm Zmiss= C12 * Zobs Covariance Matrix... (Prediction Stage)"); - MORSE_dgemm_Tile (MorseNoTrans, MorseNoTrans, 1, MORSE_descC12, MORSE_descZobs, 0, MORSE_descZmiss); + CHAMELEON_dgemm_Tile(ChamNoTrans, ChamNoTrans, 1, CHAM_descC12, CHAMELEON_descZobs, 0, CHAMELEON_descZmiss); flops = flops + FLOPS_DGEMM(nZmiss, nZobs, nZobs); VERBOSE(" Done.\n"); - STOP_TIMING(time_gemm); + STOP_TIMING(time_gemm); //return back descZmiss to zmiss vector - MORSE_Tile_to_Lapack( MORSE_descZmiss, Zmiss, nZmiss); + CHAMELEON_Tile_to_Lapack(CHAMELEON_descZmiss, Zmiss, nZmiss); //Estimate Mean Square Error - if( Zactual != NULL) - { + if (Zactual != NULL) { START_TIMING(time_mse); VERBOSE("Calculate Mean Square Error (MSE) ... (Prediction Stage) \n"); - MORSE_MLE_dmse_Tile_Async(MORSE_descZactual, MORSE_descZmiss, MORSE_descmse, hsequence, hrequest); + EXAGEOSTAT_MLE_dmse_Tile_Async(CHAMELEON_descZactual, CHAMELEON_descZmiss, CHAM_descmse, hsequence, hrequest); VERBOSE(" Done.\n"); - MORSE_Sequence_Wait(hsequence); + CHAMELEON_Sequence_Wait(hsequence); STOP_TIMING(time_mse); data->mserror /= nZmiss; - } - else + } else data->mserror = -1; #if defined(CHAMELEON_USE_MPI) - if(MORSE_My_Mpi_Rank() == 0) + if(CHAMELEON_My_Mpi_Rank() == 0) { #endif - if(data->log == 1) - fprintf(data->pFileLog, "\n\n# of missing observations :%d\n\nPrediction Execution Time: %.8f, Flops: %.8f, Mean Square Error (MSE): %.8f\n\n", nZmiss, (mat_gen_time+time_solve+time_mse), (flops / 1e9 / (time_solve)), data->mserror ); + if (data->log == 1) + fprintf(data->pFileLog, + "\n\n# of missing observations :%d\n\nPrediction Execution Time: %.8f, Flops: %.8f, Mean Square Error (MSE): %.8f\n\n", + nZmiss, (mat_gen_time + time_solve + time_mse), (flops / 1e9 / (time_solve)), data->mserror); - write_prediction_result("predict_result.dat", n, data->hicma_acc, 0, 0,data->mserror, (mat_gen_time+time_solve+ time_gemm), (flops / 1e9 / (time_solve))); + write_prediction_result("predict_result.dat", n, data->hicma_acc, 0, 0, 0, data->mserror, + (mat_gen_time + time_solve + time_gemm), (flops / 1e9 / (time_solve))); #if defined(CHAMELEON_USE_MPI) } #endif - return data->mserror; - - } //init Hicma decriptors -void HICMA_dmle_Call(MLE_data *data, int ncores, int gpus, int lts, int p_grid, int q_grid, int N, int nZobs, int nZmiss) - //! //Initiate HICMA and allocate different descriptors for - /*! HICMA - * Returns MLE_data data with initial values and new descriptors locations. - * @param[in] data: MLE_data struct with different MLE inputs. - * @param[in] ncores: number of CPU workers. - * @param[in] gpus: number of GPU workers. - * @param[in] dts: tile size (MB). - * @param[in] p_grid: p_grid in the case of distributed system. - * @param[in] q_grid: q_grid in the case of distributed system. - * @param[in] N: number of spatial locations. - * @param[in] nZobs: number of observed values (known observations). - * @param[in] nZmiss: number of missing values (unknown observations). - * */ +void +EXAGEOSTAT_TLR_dmle_Call(MLE_data *data, int ncores, int gpus, int lts, int p_grid, int q_grid, int N, int nZobs, int nZmiss) +//! //Initiate HICMA and allocate different descriptors for +/*! HICMA + * Returns MLE_data data with initial values and new descriptors locations. + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] ncores: number of CPU workers. + * @param[in] gpus: number of GPU workers. + * @param[in] dts: tile size (MB). + * @param[in] p_grid: p_grid in the case of distributed system. + * @param[in] q_grid: q_grid in the case of distributed system. + * @param[in] N: number of spatial locations. + * @param[in] nZobs: number of observed values (known observations). + * @param[in] nZmiss: number of missing values (unknown observations). + * */ { - MORSE_sequence_t *msequence; - MORSE_request_t mrequest[2] = { MORSE_REQUEST_INITIALIZER, MORSE_REQUEST_INITIALIZER }; - MORSE_desc_t *hicma_descC = NULL; - MORSE_desc_t *hicma_descZ = NULL; - MORSE_desc_t *hicma_descZcpy = NULL; - MORSE_desc_t *hicma_descproduct = NULL; - MORSE_desc_t *hicma_descdet = NULL; - MORSE_desc_t *MORSE_descZmiss = NULL; - //MORSE_desc_t *MORSE_descC12 = NULL; - //MORSE_desc_t *MORSE_descC22 = NULL; - MORSE_desc_t *MORSE_descmse = NULL; - MORSE_desc_t *MORSE_descZactual = NULL; - MORSE_desc_t *MORSE_descZobs = NULL; - MORSE_desc_t *hicma_descCD = NULL; - MORSE_desc_t *hicma_descCUV = NULL; - MORSE_desc_t *hicma_descCrk = NULL; - MORSE_desc_t *hicma_descC12D = NULL; - MORSE_desc_t *hicma_descC12UV = NULL; - MORSE_desc_t *hicma_descC12rk = NULL; - MORSE_desc_t *hicma_descC22D = NULL; - MORSE_desc_t *hicma_descC22UV = NULL; - MORSE_desc_t *hicma_descC22rk = NULL; - int MBC, NBC, MC, NC; + HICMA_sequence_t *msequence; + HICMA_request_t mrequest[2] = {HICMA_SUCCESS, HICMA_SUCCESS}; + HICMA_desc_t *hicma_descC = NULL; + HICMA_desc_t *hicma_descZ = NULL; + CHAM_desc_t *descZ = NULL; + + CHAM_desc_t *cham_descZcpy = NULL; + HICMA_desc_t *hicma_descZcpy = NULL; + //CHAM_desc_t *descproduct = NULL; + HICMA_desc_t *hicma_descdet = NULL; + CHAM_desc_t *CHAMELEON_descZmiss = NULL; + CHAM_desc_t *CHAM_descmse = NULL; + CHAM_desc_t *CHAMELEON_descZactual = NULL; + CHAM_desc_t *CHAMELEON_descZobs = NULL; + HICMA_desc_t *hicma_descCD = NULL; + HICMA_desc_t *hicma_descCUV = NULL; + HICMA_desc_t *hicma_descCrk = NULL; + HICMA_desc_t *hicma_descC12D = NULL; + HICMA_desc_t *hicma_descC12UV = NULL; + HICMA_desc_t *hicma_descC12rk = NULL; + HICMA_desc_t *hicma_descC22D = NULL; + HICMA_desc_t *hicma_descC22UV = NULL; + HICMA_desc_t *hicma_descC22rk = NULL; + int MBC, NBC, MC, NC; int MBD, NBD, MD, ND; int MBUV, NBUV, MUV, NUV; int MBrk, NBrk, Mrk, Nrk; //For ditributed system and should be removed - double *Zcpy=(double *) malloc(N * sizeof(double)); + double *Zcpy = (double *) malloc(N * sizeof(double)); //CDense Descriptor - if(data->check == 1) - { - MBC = lts; - NBC = lts; - MC = N; - NC = N; - } - else - { - MBC = 1; - NBC = 1; - MC = lts; - NC = lts; + if (data->check == 1) { + MBC = lts; + NBC = lts; + MC = N; + NC = N; + } else { + MBC = 1; + NBC = 1; + MC = lts; + NC = lts; } - - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC, NULL , MorseRealDouble, MBC, NBC , MBC * NBC, MC, NC, 0, 0, MC, NC, p_grid, q_grid); - printf("(1)%d - %d\n", MC, NC); + HICMA_Desc_Create(&hicma_descC, NULL, HicmaRealDouble, MBC, NBC, MBC * NBC, MC, NC, 0, 0, MC, NC, + p_grid, q_grid); //CAD Descriptor - MBD = lts; - NBD = lts; - MD = N; - ND = MBD; - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descCD, NULL , MorseRealDouble, MBD, NBD, MBD * NBD, MD, ND, 0, 0, MD, ND, p_grid,q_grid); - printf("(2)%d - %d\n", MD, ND); + MBD = lts; + NBD = lts; + MD = N; + ND = MBD; + HICMA_Desc_Create(&hicma_descCD, NULL, HicmaRealDouble, MBD, NBD, MBD * NBD, MD, ND, 0, 0, MD, ND, + p_grid, q_grid); //CAD Descriptor - MBUV = lts; - NBUV = 2 * data->hicma_maxrank; - MUV = -1; + MBUV = lts; + NBUV = 2 * data->hicma_maxrank; + MUV = -1; int N_over_lts_times_lts = N / lts * lts; - if(N_over_lts_times_lts < N) { + if (N_over_lts_times_lts < N) { MUV = N_over_lts_times_lts + lts; - } - else if (N_over_lts_times_lts == N) { + } else if (N_over_lts_times_lts == N) { MUV = N_over_lts_times_lts; - } - else { + } else { printf("%s %d: This case should not happen\n", __FILE__, __LINE__); exit(-1); } - double expr = (double)MUV / (double)lts; - NUV = 2 * expr * data->hicma_maxrank; - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descCUV, NULL , MorseRealDouble, MBUV, NBUV, MBUV * NBUV, MUV, NUV, 0, 0, MUV, NUV, p_grid, q_grid); - printf("(3)%d - %d\n", MUV, NUV); + double expr = (double) MUV / (double) lts; + NUV = 2 * expr * data->hicma_maxrank; + + HICMA_Desc_Create(&hicma_descCUV, NULL, HicmaRealDouble, MBUV, NBUV, MBUV * NBUV, MUV, NUV, 0, 0, MUV, + NUV, p_grid, q_grid); //CUV Descriptor - MBrk = 1; - NBrk = 1; - Mrk = hicma_descCUV->mt; - Nrk = hicma_descCUV->mt; - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descCrk, NULL , MorseRealDouble, MBrk, NBrk, MBrk * NBrk, Mrk, Nrk, 0, 0, Mrk, Nrk, p_grid, q_grid); - MORSE_Sequence_Create(&msequence); - printf("(4)%d - %d\n", Mrk, Nrk); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descZ, NULL, MorseRealDouble, lts, lts, lts*lts, N, 1, 0, 0, N , 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descZcpy, Zcpy, MorseRealDouble, lts, lts, lts*lts, N, 1, 0, 0, N, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descproduct, &data->dotp, MorseRealDouble, lts, lts, lts*lts, 1, 1, 0, 0, 1, 1, p_grid,q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descdet, &data->det, MorseRealDouble, lts, lts, lts*lts, 1, 1, 0, 0,1, 1, p_grid,q_grid); - - - if(nZmiss!=0) - { - if(strcmp(data->actualZFPath,"")==0) - { - //EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZobs, &MORSE_descZcpy->mat[sizeof(double)*nZmiss], MorseRealDouble, ts, ts, ts * ts, nZobs, 1, 0, 0, nZobs, 1,p_grid,q_grid); - //MORSE_descZactual=morse_desc_submatrix(MORSE_descZcpy, 0, 0, nZmiss, 1); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZobs, &Zcpy[nZmiss], MorseRealDouble, lts, lts, lts * lts, nZobs, 1, 0, 0, nZobs, 1,p_grid,q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZactual, Zcpy, MorseRealDouble, lts, lts, lts * lts, nZmiss, 1, 0, 0, nZmiss, 1,p_grid,q_grid); - } - else - { - MORSE_descZobs = hicma_descZcpy; - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZactual, NULL, MorseRealDouble, lts, lts, lts * lts, nZmiss, 1, 0, 0, nZmiss, 1,p_grid,q_grid); + MBrk = 1; + NBrk = 1; + Mrk = hicma_descCUV->mt; + Nrk = hicma_descCUV->mt; + + HICMA_Desc_Create(&hicma_descCrk, NULL, HicmaRealDouble, MBrk, NBrk, MBrk * NBrk, Mrk, Nrk, 0, 0, Mrk, + Nrk, p_grid, q_grid); + HICMA_Sequence_Create(&msequence); + HICMA_Desc_Create(&hicma_descZ, NULL, HicmaRealDouble, lts, lts, lts * lts, N, 1, 0, 0, N, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&descZ, NULL, ChamRealDouble, lts, lts, lts * lts, N, 1, 0, 0, N, 1, p_grid, + q_grid); + HICMA_Desc_Create(&hicma_descZcpy, Zcpy, HicmaRealDouble, lts, lts, lts * lts, N, 1, 0, 0, N, 1, + p_grid, q_grid); + HICMA_Desc_Create(&hicma_descdet, &data->det, HicmaRealDouble, lts, lts, lts * lts, 1, 1, 0, 0, 1, 1, + p_grid, q_grid); + + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&cham_descZcpy, Zcpy, ChamRealDouble, lts, lts, lts * lts, N, 1, 0, 0, N, 1, + p_grid, q_grid); + if (nZmiss != 0) { + if (strcmp(data->actualZFPath, "") == 0) { + //EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZobs, &CHAMELEON_descZcpy->mat[sizeof(double)*nZmiss], ChamRealDouble, ts, ts, ts * ts, nZobs, 1, 0, 0, nZobs, 1,p_grid,q_grid); + //CHAMELEON_descZactual=chameleon_desc_submatrix(CHAMELEON_descZcpy, 0, 0, nZmiss, 1); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZobs, &Zcpy[nZmiss], ChamRealDouble, lts, lts, lts * lts, + nZobs, 1, 0, 0, nZobs, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZactual, Zcpy, ChamRealDouble, lts, lts, lts * lts, nZmiss, + 1, 0, 0, nZmiss, 1, p_grid, q_grid); + } else { + CHAMELEON_descZobs = cham_descZcpy; + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZactual, NULL, ChamRealDouble, lts, lts, lts * lts, nZmiss, + 1, 0, 0, nZmiss, 1, p_grid, q_grid); } //C12AD Descriptor - MBD = lts; - NBD = lts; - MD = nZmiss; - ND = MBD; - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC12D, NULL, MorseRealDouble, MBD, NBD, MBD * NBD, MD, ND, 0, 0, MD, ND, p_grid, q_grid); + MBD = lts; + NBD = lts; + MD = nZmiss; + ND = MBD; + HICMA_Desc_Create(&hicma_descC12D, NULL, HicmaRealDouble, MBD, NBD, MBD * NBD, MD, ND, 0, 0, MD, + ND, p_grid, q_grid); //C12UV Descriptor - MBUV = lts; - NBUV = 2 * data->hicma_maxrank; - MUV = nZmiss; - NUV = 2 * MUV / lts * data->hicma_maxrank; - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC12UV, NULL, MorseRealDouble, MBUV, NBUV, MBUV * NBUV, MBUV, NBUV, 0, 0, MBUV, NBUV, p_grid, q_grid); + MBUV = lts; + NBUV = 2 * data->hicma_maxrank; + MUV = nZmiss; + NUV = 2 * MUV / lts * data->hicma_maxrank; + HICMA_Desc_Create(&hicma_descC12UV, NULL, HicmaRealDouble, MBUV, NBUV, MBUV * NBUV, MBUV, NBUV, 0, + 0, MBUV, NBUV, p_grid, q_grid); //C12Ark Descriptor - MBrk = 1; - NBrk = 1; - Mrk = hicma_descC12UV->mt; - Nrk = hicma_descC12UV->mt; - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC12rk, NULL, MorseRealDouble, MBrk, NBrk, MBrk * NBrk, Mrk, Nrk, 0, 0, Mrk, Nrk, p_grid, q_grid); + MBrk = 1; + NBrk = 1; + Mrk = hicma_descC12UV->mt; + Nrk = hicma_descC12UV->mt; + HICMA_Desc_Create(&hicma_descC12rk, NULL, HicmaRealDouble, MBrk, NBrk, MBrk * NBrk, Mrk, Nrk, 0, 0, + Mrk, Nrk, p_grid, q_grid); //C11AD Descriptor - MBD = lts; - NBD = lts; - MD = nZobs; - ND = MBD; - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22D, NULL, MorseRealDouble, MBD, NBD, MBD * NBD, MD, ND, 0, 0, MD, ND, p_grid,q_grid); + MBD = lts; + NBD = lts; + MD = nZobs; + ND = MBD; + HICMA_Desc_Create(&hicma_descC22D, NULL, HicmaRealDouble, MBD, NBD, MBD * NBD, MD, ND, 0, 0, MD, + ND, p_grid, q_grid); //C12UV Descriptor - MBUV = lts; - NBUV = 2 * data->hicma_maxrank; - MUV = nZobs; - NUV = 2 * MUV / lts * data->hicma_maxrank; - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22UV, NULL, MorseRealDouble, MBUV, NBUV, MBUV * NBUV, MBUV, NBUV, 0, 0, MBUV, NBUV, p_grid, q_grid); + MBUV = lts; + NBUV = 2 * data->hicma_maxrank; + MUV = nZobs; + NUV = 2 * MUV / lts * data->hicma_maxrank; + HICMA_Desc_Create(&hicma_descC22UV, NULL, HicmaRealDouble, MBUV, NBUV, MBUV * NBUV, MBUV, NBUV, 0, + 0, MBUV, NBUV, p_grid, q_grid); //C12Ark Descriptor - MBrk = 1; - NBrk = 1; - Mrk = hicma_descC22UV->mt; - Nrk = hicma_descC22UV->mt; - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22rk,NULL , MorseRealDouble, MBrk, NBrk, MBrk * NBrk, Mrk, Nrk, 0, 0, Mrk, Nrk, p_grid, q_grid); + MBrk = 1; + NBrk = 1; + Mrk = hicma_descC22UV->mt; + Nrk = hicma_descC22UV->mt; + HICMA_Desc_Create(&hicma_descC22rk, NULL, HicmaRealDouble, MBrk, NBrk, MBrk * NBrk, Mrk, Nrk, 0, 0, + Mrk, Nrk, p_grid, q_grid); //Other descriptors - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZmiss, NULL, MorseRealDouble, lts, lts, lts * lts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descmse, &data->mserror, MorseRealDouble, lts, lts, lts * lts, 1, 1, 0, 0, 1, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZmiss, NULL, ChamRealDouble, lts, lts, lts * lts, nZmiss, 1, 0, + 0, nZmiss, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descmse, &data->mserror, ChamRealDouble, lts, lts, lts * lts, 1, 1, 0, 0, + 1, 1, p_grid, q_grid); } //Fill data struct - data->hicma_descC = hicma_descC; - data->hicma_descCD = hicma_descCD; - data->hicma_descCUV = hicma_descCUV; - data->hicma_descCrk = hicma_descCrk; - data->hicma_descZ = hicma_descZ; - data->hicma_descZcpy = hicma_descZcpy; - data->hicma_descdet = hicma_descdet; - data->hicma_descproduct = hicma_descproduct; - data->descZmiss = MORSE_descZmiss; - data->hicma_descC12D = hicma_descC12D; - data->hicma_descC12UV = hicma_descC12UV; - data->hicma_descC12rk = hicma_descC12rk; - data->hicma_descC22D = hicma_descC22D; - data->hicma_descC22UV = hicma_descC22UV; - data->hicma_descC22rk = hicma_descC22rk; - data->descmse = MORSE_descmse; - data->descZactual = MORSE_descZactual; - data->descZobs = MORSE_descZobs; - data->hsequence = msequence; - data->hrequest = mrequest; - data->mserror = 0; + data->hicma_descC = hicma_descC; + data->hicma_descCD = hicma_descCD; + data->hicma_descCUV = hicma_descCUV; + data->hicma_descCrk = hicma_descCrk; + data->hicma_descZ = hicma_descZ; + data->hicma_descZcpy = hicma_descZcpy; + data->hicma_descdet = hicma_descdet; + //data->descproduct = descproduct; + data->descZmiss = CHAMELEON_descZmiss; + data->hicma_descC12D = hicma_descC12D; + data->hicma_descC12UV = hicma_descC12UV; + data->hicma_descC12rk = hicma_descC12rk; + data->hicma_descC22D = hicma_descC22D; + data->hicma_descC22UV = hicma_descC22UV; + data->hicma_descC22rk = hicma_descC22rk; + data->descmse = CHAM_descmse; + data->descZactual = CHAMELEON_descZactual; + data->descZobs = CHAMELEON_descZobs; + data->descZ = descZ; + data->hsequence = msequence; + data->hrequest = mrequest; + data->mserror = 0; //stop gsl error handler - gsl_set_error_handler_off () ; - + gsl_set_error_handler_off(); } diff --git a/exageostat_approx/src/compute/MLE_lr_s.c b/exageostat_approx/src/compute/MLE_lr_s.c index eeefa62..f66d82d 100644 --- a/exageostat_approx/src/compute/MLE_lr_s.c +++ b/exageostat_approx/src/compute/MLE_lr_s.c @@ -6,13 +6,14 @@ * ExaGeoStat is a software package provided by KAUST, * King Abdullah University of Science and Technology - ECRC * - * @version 1.1.0 + * @version 1.2.0 * @author Sameh Abdulah - * @date 2016-11-22 + * @date 2022-11-09 * @generated d Fri Nov 22 15:11:13 2016 * **/ #include "../include/MLE_lr_s.h" + //*************************************************************************************** //HiCMA global variables. extern int store_only_diagonal_tiles = 1; @@ -21,52 +22,54 @@ extern STARSH_blrf *mpiF; extern int use_scratch = 1; extern int global_check = 0; //used to create dense matrix for accuracy check extern int print_mat = 0; -//Generate Observations Vector (Z) for testing Maximum Likelihood function -- MORSE-sync -int HICMA_MLE_szvg_Tile (MLE_data *data, double * Nrand, double * initial_theta, int n, int dts, int log, int p_grid, int q_grid) { - //Initialization - MORSE_sequence_t *msequence; - MORSE_request_t mrequest[2] = { MORSE_REQUEST_INITIALIZER, MORSE_REQUEST_INITIALIZER }; - MORSE_desc_t *MORSE_descC = NULL; - MORSE_desc_t *MORSE_descZ = NULL; +//Generate Observations Vector (Z) for testing Maximum Likelihood function -- CHAM-sync +int HICMA_MLE_szvg_Tile(MLE_data *data, double* Nrand, double* initial_theta, int n, int dts, int log, int p_grid, + int q_grid) { + //Initialization + RUNTIME_sequence_t *msequence; + RUNTIME_request_t mrequest[2] = {CHAMELEON_SUCCESS, CHAMELEON_SUCCESS}; + CHAM_desc_t *CHAM_descC = NULL; + CHAM_desc_t *CHAMELEON_descZ = NULL; //Create two dense descriptors to generate the measurment vectors - MORSE_Sequence_Create(&msequence); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC, NULL, MorseRealDouble, dts, dts, dts * dts, n, n, 0, 0, n, n, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZ, NULL, MorseRealDouble, dts, dts, dts * dts, n, 1, 0, 0, n, 1, p_grid, q_grid); - + CHAMELEON_Sequence_Create(&msequence); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descC, NULL, ChamRealDouble, dts, dts, dts * dts, n, n, 0, 0, n, n, p_grid, + q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZ, NULL, ChamRealDouble, dts, dts, dts * dts, n, 1, 0, 0, n, 1, + p_grid, q_grid); //Generate the co-variance matrix C VERBOSE("LR: Initializing Covariance Matrix (Synthetic Dataset Dense Generation Phase)....."); - MORSE_MLE_scmg_Tile_Async(MorseLower, MORSE_descC, msequence, mrequest, &data->l1, &data->l1, initial_theta, data->dm); + EXAGEOSTAT_MLE_scmg_Tile_Async(ChamLower, CHAM_descC, msequence, mrequest, &data->l1, &data->l1, initial_theta, + data->dm); VERBOSE(" Done.\n"); //Copy Nrand to Z VERBOSE("LR: Generate Normal Random Distribution Vector Z (Synthetic Dataset Dense Generation Phase) ....."); - MORSE_MLE_szcpy_Tile_Async(MORSE_descZ, Nrand, msequence, mrequest); + EXAGEOSTAT_MLE_szcpy_Tile_Async(CHAMELEON_descZ, Nrand, msequence, mrequest); VERBOSE(" Done.\n"); //Cholesky factorization for the Co-variance matrix C VERBOSE("LR: Cholesky factorization of Sigma (Synthetic Dataset Dense Generation Phase) ....."); - int success = MORSE_spotrf_Tile(MorseLower, MORSE_descC); + int success = CHAMELEON_spotrf_Tile(ChamLower, CHAM_descC); SUCCESS(success, "LR: Factorization cannot be performed..\n The matrix is not positive definite\n\n"); VERBOSE(" Done.\n"); //Triangular matrix-matrix multiplication VERBOSE("LR: Triangular matrix-matrix multiplication Z=L.e (Synthetic Dataset Dense Generation Phase) ....."); - MORSE_strmm_Tile(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, MORSE_descC, MORSE_descZ); + CHAMELEON_strmm_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAM_descC, CHAMELEON_descZ); VERBOSE(" Done.\n"); //if log==1 write vector to disk - if(log==1) - { - double *z; + if (log == 1) { + double* z; #if defined(CHAMELEON_USE_MPI) - z = (double *) malloc(n * sizeof(double)); - MORSE_Tile_to_Lapack( MORSE_descZ, z, n); + z = (double* ) malloc(n * sizeof(double)); + CHAMELEON_Tile_to_Lapack( CHAMELEON_descZ, z, n); #else - z = MORSE_descZ->mat; + z = CHAMELEON_descZ->mat; #endif write_vectors(z, data, n); #if defined(CHAMELEON_USE_MPI) @@ -75,366 +78,161 @@ int HICMA_MLE_szvg_Tile (MLE_data *data, double * Nrand, double * initial_theta } VERBOSE("LR: Done Z Vector Dense Generation Phase. (Chameleon Synchronous)\n"); - VERBOSE("************************************************************\n"); - + VERBOSE("************************************************************\n"); - data->descZ = MORSE_descZ; - data->sequence = msequence; - data->request = mrequest; + data->descZ = CHAMELEON_descZ; + data->sequence = msequence; + data->request = mrequest; //Destory dense descriptors to save memory. - MORSE_Desc_Destroy(&MORSE_descC); + CHAMELEON_Desc_Destroy(&CHAM_descC); return 0; } - -void HICMA_MLE_zcpy( MLE_data *data, double *streamdata) -{ - MORSE_sequence_t *hsequence = (MORSE_sequence_t *) data->hsequence; - MORSE_request_t *hrequest = (MORSE_request_t *) data->hrequest; +void EXAGEOSTAT_TLR_MLE_zcpy(MLE_data *data, double* streamdata) { + RUNTIME_sequence_t *hsequence = (RUNTIME_sequence_t *) data->hsequence; + RUNTIME_request_t *hrequest = (RUNTIME_request_t *) data->hrequest; VERBOSE("LR: Copy Z from vector to decriptor.\n"); - MORSE_MLE_dzcpy_Tile_Async(data->hicma_descZ, streamdata, hsequence, hrequest); - MORSE_Sequence_Wait(hsequence); + EXAGEOSTAT_MLE_dzcpy_Tile_Async(data->hicma_descZ, streamdata, hsequence, hrequest); + CHAMELEON_Sequence_Wait(hsequence); VERBOSE("LR: Done Z copying step.\n"); VERBOSE("************************************************************\n"); } -//Generate Observations Vector (Z) for testing Maximum Likelihood function -- MORSE-sync -//int HICMA_MLE_dzvg_Tile (MLE_data *data, double * Nrand, double * initial_theta, int n, int ts, int log) { - -// int compress_diag = 0; -// int success = 0; -// acc_struct acc; -// MORSE_desc_t *hicma_descCD = (MORSE_desc_t*) data->hicma_descCD; -// MORSE_desc_t *hicma_descCUV = (MORSE_desc_t*) data->hicma_descCUV; -// MORSE_desc_t *hicma_descCrk = (MORSE_desc_t*) data->hicma_descCrk; -// MORSE_desc_t *MORSE_descZ = (MORSE_desc_t*) data->descZ; -// MORSE_desc_t *MORSE_descC = (MORSE_desc_t*) data->descC; - - -// if(data->check==0) -// global_check=0; - -// if(strcmp(data->obsFPath, "")==0) -// { - -// if (data->verbose == 1 && MORSE_My_Mpi_Rank() == 0) -// fprintf(stderr, "LR: Initializing Co-variance Matrix (Synthetic Dataset Generation Phase) ....."); -//Generate Co-variance matrix C -//MORSE_MLE_cmg_Tile_Async(data->descC, data->sequence, &data->request[0], &data->l1, &data->l1, initial_theta, data->dm); -//ddcay is any vale for GEOSTAT (not used) -// HICMA_problem_t hicma_problem; -// hicma_problem.theta = initial_theta; -// hicma_problem.noise = 0.0; -// hicma_problem.ndim = 2; -// HICMA_zgenerate_problem(HICMA_STARSH_PROB_GEOSTAT, 'S', 0, n, ts, hicma_descCUV->mt, hicma_descCUV->nt, &hicma_problem); -// mpiF = hicma_problem.starsh_format; -//printf("hicma_maxrank:%d - compress_diag:%d - hicma_descCUV->mt:%d - hicma_descCD->mt:%d - hicma_descCrk->mt:%d - MORSE_descC->mt:%d\n", data->hicma_maxrank, compress_diag, hicma_descCUV->mt, hicma_descCD->mt, hicma_descCrk->mt, MORSE_descC->mt); -// HICMA_zgytlr_Tile(MorseLower, hicma_descCUV, hicma_descCD, hicma_descCrk, 0, data->hicma_maxrank, pow(10, -1.0 * data->hicma_acc), compress_diag, MORSE_descC); - -// if (data->verbose == 1 && MORSE_My_Mpi_Rank() == 0) -// fprintf(stderr, " Done.\n"); - -//For checking accuracy -// if(data->check==1 && n < 10000) -// { -//if (data->verbose == 1 && MORSE_My_Mpi_Rank() == 0) -// fprintf(stderr, "LR: allocating and coping original covariance matrix for accuracy checking (Synthetic Dataset Generation Phase) ....."); - -//data->Adense = (double *) malloc(n * n * sizeof(double)); -//data->Adense2 = (double *) malloc(n * n * sizeof(double)); - -//printf("%d - %d\n",MORSE_descC->m,MORSE_descC->n); -// MORSE_Tile_to_Lapack(MORSE_descC, data->Adense, n); -// MORSE_Tile_to_Lapack(MORSE_descC, data->Adense2, n); - -//fprintf(stderr," %6.4e", data->Adense[0]); -//print_matrix("test Hicma",n, n, data->Adense, n); -//PASTE_TILE_TO_LAPACK( MORSE_descC, data->Adense, data->check, double, M, M); -//PASTE_TILE_TO_LAPACK( MORSE_descC, data->Adense2, data->check, double, M, M); - -// if (data->verbose == 1 && MORSE_My_Mpi_Rank() == 0) -// fprintf(stderr, " Done.\n"); -// } - -//Generate Z Vector -// if (data->verbose == 1 && MORSE_My_Mpi_Rank() == 0) -// fprintf(stderr, "LR:Generate Normal Random Distribution Vector Z (Synthetic Dataset Generation Phase) ....."); -// MORSE_MLE_dzcpy_Tile_Async(data->descZ, Nrand, data->sequence, &data->request[0]); -// -// if (data->verbose == 1 && MORSE_My_Mpi_Rank() == 0) -// fprintf(stderr, " Done.\n"); - -//Cholesky factorization -// if (data->verbose == 1 && MORSE_My_Mpi_Rank() == 0) -// fprintf(stderr, "Cholesky factorization of Sigma (Synthetic Dataset Generation Phase) ....."); - -// int success = HICMA_zpotrf_Tile(MorseLower, hicma_descCUV, hicma_descCD, hicma_descCrk, 0, data->hicma_maxrank, pow(10, -1.0 * data->hicma_acc)); -// if (success != MORSE_SUCCESS) { -// printf("Factorization cannot be performed..\n The matrix is not positive definite\n\n"); -// exit(EXIT_FAILURE); -// } -// if (data->verbose == 1 && MORSE_My_Mpi_Rank() == 0) -// fprintf(stderr, " Done.\n"); - -//For checking accuracy -//if(data->check==1 && n<10000) -//{ -//acc=check_acc(data, n, ts); -//printf("normA:%.2e normDenseAppdiff:%.2e Accuracy: %.2e\n", acc.normA, acc.normDenseAppDiff, acc.accuracyDenseAppDiff); -//} - - -// exit(0); //till dtrmv availability from HicMA -//dtrmm is not supported yet by HiCMA - -//Triangular solve dtrmm -// if (data->verbose == 1 && MORSE_My_Mpi_Rank() == 0) -// fprintf(stderr, "LR:Triangular Solve dtrmm Z=L.e (Synthetic Dataset Generation Phase) ....."); -// MORSE_dtrmm_Tile(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, data->descC, data->descZ); -// if (data->verbose == 1 && MORSE_My_Mpi_Rank() == 0) -// fprintf(stderr, " Done.\n"); - -// if(log==1) -// { -// MORSE_desc_t *MORSE_descZ = (MORSE_desc_t *)(data->descZ); -// write_vectors(MORSE_descZ->mat, data, n); -// } - -// } -// else -// { -// double * streamdata; - -// if (data->verbose == 1 && MORSE_My_Mpi_Rank() == 0) -// fprintf(stderr,"Reading Observations from disk ....."); - -// streamdata=(double *) malloc(n * sizeof(double)); -// streamdata = readObsFile(data->obsFPath, n); -// MORSE_MLE_dzcpy_Tile_Async(data->descZ, streamdata, data->sequence, &data->request[0]); - -// if (data->verbose == 1 && MORSE_My_Mpi_Rank() == 0) -// fprintf(stderr, "LR: Done.\n"); - -// free(streamdata); -// } - -//Save a copy of descZ into descZcpy for restoring each iteration -//MORSE_dlacpy_Tile(MorseUpperLower, data->descZ, data->descZcpy); - - -// if (data->verbose == 1 && MORSE_My_Mpi_Rank() == 0) -// { -// fprintf(stderr, "LR:Done Z Vector Generation Phase. (Chameleon Synchronous)\n"); -// fprintf(stderr, "LR:************************************************************\n"); -// } - -// return 0; - -//} - - - - -int HICMA_MLE_szvg_Tile_Async (MLE_data *data, double * Nrand, double * initial_theta, int n, int dts, int log, int p_grid, int q_grid) { - +int HICMA_MLE_szvg_Tile_Async(MLE_data *data, double* Nrand, double* initial_theta, int n, int dts, int log, int p_grid, + int q_grid) { + //// TODO: Missing Implementation. } - //compute MLE function -double HICMA_smle_Tile(unsigned n, const double * theta, double * grad, void * app_data) { +double HICMA_smle_Tile(unsigned n, const double* theta, double* grad, void *app_data) { //Initialization - double loglik = 0.0; - int compress_diag = 0; + double loglik = 0.0; + int compress_diag = 0; //double ddotproduct = 0.0, - double logdet = 0.0; - double time_facto = 0.0, - time_solve = 0.0, - logdet_calculate = 0.0, - matrix_gen_time = 0.0, - test_time = 0.0; - double flops = 0.0; + double logdet = 0.0; + double time_facto = 0.0, + time_solve = 0.0, + logdet_calculate = 0.0, + matrix_gen_time = 0.0, + test_time = 0.0; + double flops = 0.0; int success, maxrank, acc; //int verbose; - int N, NRHS; + int N, NRHS; int lts;//, dts; int hicma_data_type; int i = 0; - MLE_data *data = (MLE_data*) app_data; - MORSE_desc_t *hicma_descC = (MORSE_desc_t *) data->hicma_descC; - MORSE_desc_t *hicma_descCD = (MORSE_desc_t *) data->hicma_descCD; - MORSE_desc_t *hicma_descCUV = (MORSE_desc_t *) data->hicma_descCUV; - MORSE_desc_t *hicma_descCrk = (MORSE_desc_t *) data->hicma_descCrk; - MORSE_desc_t *hicma_descZ = (MORSE_desc_t *) data->hicma_descZ; - MORSE_desc_t *morse_descZ = (MORSE_desc_t *) data->descZ; - MORSE_desc_t *hicma_descZcpy = (MORSE_desc_t *) data->hicma_descZcpy; - MORSE_desc_t *hicma_descdet = (MORSE_desc_t *) data->hicma_descdet; - MORSE_desc_t *hicma_descproduct = (MORSE_desc_t *) data->hicma_descproduct; - MORSE_sequence_t *hsequence = (MORSE_sequence_t *) data->hsequence; - MORSE_request_t *hrequest = (MORSE_request_t *) data->hrequest; + MLE_data *data = (MLE_data *) app_data; + CHAM_desc_t *hicma_descC = (CHAM_desc_t *) data->hicma_descC; + CHAM_desc_t *hicma_descCD = (CHAM_desc_t *) data->hicma_descCD; + CHAM_desc_t *hicma_descCUV = (CHAM_desc_t *) data->hicma_descCUV; + CHAM_desc_t *hicma_descCrk = (CHAM_desc_t *) data->hicma_descCrk; + CHAM_desc_t *hicma_descZ = (CHAM_desc_t *) data->hicma_descZ; + CHAM_desc_t *hicma_descZcpy = (CHAM_desc_t *) data->hicma_descZcpy; + CHAM_desc_t *hicma_descdet = (CHAM_desc_t *) data->hicma_descdet; + CHAM_desc_t *hicma_descproduct = (CHAM_desc_t *) data->hicma_descproduct; + RUNTIME_sequence_t *hsequence = (RUNTIME_sequence_t *) data->hsequence; + RUNTIME_request_t *hrequest = (RUNTIME_request_t *) data->hrequest; //verbose = data->verbose; - N = hicma_descCD->m; - NRHS = hicma_descZ->n; - lts = hicma_descZ->mb; - //dts = morse_descZ->mb; - maxrank = ((MLE_data*)data)->hicma_maxrank; - acc = ((MLE_data*)data)->hicma_acc; - hicma_data_type = ((MLE_data*)data)->hicma_data_type; - data->det = 0; - data->dotp = 0; - - + N = hicma_descCD->m; + NRHS = hicma_descZ->n; + lts = hicma_descZ->mb; + maxrank = ((MLE_data *) data)->hicma_maxrank; + acc = ((MLE_data *) data)->hicma_acc; + hicma_data_type = ((MLE_data *) data)->hicma_data_type; + data->det = 0; + data->dotp = 0; //Save a copy of descZ into descZcpy for restoring each iteration - if (data->iter_count == 0) - { - if (strcmp(data->locsFPath, "") == 0) - { - double *z = (double *) malloc(N * sizeof(double)); - MORSE_Tile_to_Lapack( morse_descZ, z, N); - MORSE_Lapack_to_Tile( z, N, hicma_descZ); + if (data->iter_count == 0) { + if (strcmp(data->locsFPath, "") == 0) { + double* z = (double* ) malloc(N * sizeof(double)); + CHAMELEON_Tile_to_Lapack(hicma_descZ, z, N); + CHAMELEON_Lapack_to_Tile(z, N, hicma_descZ); free(z); - MORSE_Desc_Destroy(&morse_descZ); + CHAMELEON_Desc_Destroy(&hicma_descZ); } - MORSE_slacpy_Tile(MorseUpperLower, hicma_descZ, hicma_descZcpy); + CHAMELEON_slacpy_Tile(ChamUpperLower, hicma_descZ, hicma_descZcpy); } - - //Matrix generation part. VERBOSE("LR:Generate New Covariance Matrix (single precision)..."); START_TIMING(matrix_gen_time); HICMA_problem_t hicma_problem; - hicma_problem.theta= (double *)theta; - hicma_problem.noise = 1e-4; - hicma_problem.ndim = 2; + hicma_problem.theta = (double* ) theta; + hicma_problem.noise = 1e-4; + hicma_problem.ndim = 2; // I need to change the location struct to vector array (TO DO) - double *xycoord = (double *) malloc( 2 * N * sizeof(double)); - for (i = 0; i < N; i++) - { + double* xycoord = (double* ) malloc(2 * N * sizeof(double)); + for (i = 0; i < N; i++) { xycoord[i] = data->l1.x[i]; - xycoord[N+i] = data->l1.y[i]; + xycoord[N + i] = data->l1.y[i]; } - if( strcmp(data->dm, "gc") == 0) + if (strcmp(data->dm, "gc") == 0) printf("gcd metric is used: %d\n", STARSH_SPATIAL_MATERN2_GCD); else printf("ed metric is used: %d\n", STARSH_SPATIAL_MATERN2_SIMD); - hicma_problem.point = xycoord; - hicma_problem.kernel_type = strcmp(data->dm, "gc") == 0? STARSH_SPATIAL_MATERN2_GCD : STARSH_SPATIAL_MATERN2_SIMD; + hicma_problem.point = xycoord; + hicma_problem.kernel_type = strcmp(data->dm, "gc") == 0 ? STARSH_SPATIAL_MATERN2_GCD : STARSH_SPATIAL_MATERN2_SIMD; HICMA_zgenerate_problem(hicma_data_type, 'S', 0, N, lts, hicma_descCUV->mt, hicma_descCUV->nt, &hicma_problem); - mpiF = hicma_problem.starsh_format; - HICMA_zgytlr_Tile(MorseLower, hicma_descCUV, hicma_descCD, hicma_descCrk, 0, maxrank, pow(10, -1.0 * acc), compress_diag, hicma_descC); + mpiF = hicma_problem.starsh_format; + HICMA_zgytlr_Tile(ChamLower, hicma_descCUV, hicma_descCD, hicma_descCrk, 0, maxrank, pow(10, -1.0 * acc), + compress_diag, hicma_descC); STOP_TIMING(matrix_gen_time); VERBOSE(" Done.\n"); - - // MORSE_MLE_dcmg_Tile_Async(MorseLower, MORSE_descC, msequence, &mrequest[0], &data->l1, &data->l1, (double *)theta, data->dm); - //***************** check matrices - //double *AA = (double *) malloc(N * N *sizeof(double)); - //double *BB = (double *) malloc(N * N * sizeof(double)); - // MORSE_Tile_to_Lapack(hicma_descC, BB, N); - //MORSE_desc_t *descDense = ((MLE_data*)data)->descC; - //HICMA_zuncompress(MorseUpperLower, hicma_descCUV, descDense, hicma_descCrk); - //HICMA_zdiag_vec2mat(hicma_descCD, descDense); - //MORSE_Tile_to_Lapack(descDense, AA, N); - //int i=0; - //double sum =0; - //for ( i = 0;i< n*n ;i++) - //sum += abs(AA[i]-BB[i]); - //printf("Sum= %f \n", sum); - //exit(0); //****************************** - VERBOSE("LR: re-Copy z (single precision)..."); + VERBOSE("LR: re-Copy z (single precision)..."); START_TIMING(test_time); //re-store old Z - MORSE_slacpy_Tile(MorseUpperLower, hicma_descZcpy, hicma_descZ); + CHAMELEON_slacpy_Tile(ChamUpperLower, hicma_descZcpy, hicma_descZ); STOP_TIMING(test_time); VERBOSE(" Done.\n"); - //************* - /* - if(((MLE_data*)data)->check == 1 ) - { - - if (((MLE_data*)data)->verbose == 1 && MORSE_My_Mpi_Rank() == 0) - fprintf(stderr, "LR: allocating and coping original covariance matrix for accuracy checking (Synthetic Dataset Generation Phase) ....."); - - - ((MLE_data*)data)->Adense = (double *) malloc(N * N * sizeof(double)); - ((MLE_data*)data)->Adense2 = (double *) malloc(N * N * sizeof(double)); - - //printf("%d - %d\n",MORSE_descC->m,MORSE_descC->n); - MORSE_Tile_to_Lapack(MORSE_descC, ((MLE_data*)data)->Adense, N); - MORSE_Tile_to_Lapack(MORSE_descC, ((MLE_data*)data)->Adense2, N); - - //fprintf(stderr," %6.4e", data->Adense[0]); - //print_matrix("test Hicma",n, n, data->Adense, n); - //PASTE_TILE_TO_LAPACK( MORSE_descC, data->Adense, data->check, double, M, M); - //PASTE_TILE_TO_LAPACK( MORSE_descC, data->Adense2, data->check, double, M, M); - - if (((MLE_data*)data)->verbose == 1 && MORSE_My_Mpi_Rank() == 0) - fprintf(stderr, " Done.\n"); - } - */ //************** //Calculate Cholesky Factorization (C=LL-1) - VERBOSE("LR: Cholesky factorization of Sigma (single precision)..."); + VERBOSE("LR: Cholesky factorization of Sigma (single precision)..."); START_TIMING(time_facto); - //success = MORSE_dpotrf_Tile(MorseLower, MORSE_descC); - //HICMA_set_print_index(); - success = HICMA_zpotrf_Tile(MorseLower, hicma_descCUV, hicma_descCD, hicma_descCrk, 0, maxrank, pow(10, -1.0 * acc)); - //printf("%s %d EARLY EXIT\n", __FILE__, __LINE__); exit(0);//@KA + + success = HICMA_zpotrf_Tile(ChamLower, hicma_descCUV, hicma_descCD, hicma_descCrk, 0, maxrank, pow(10, -1.0 * acc)); + SUCCESS(success, "LR: Factorization cannot be performed..\n The matrix is not positive definite\n\n"); STOP_TIMING(time_facto); flops = flops + FLOPS_DPOTRF(N); VERBOSE(" Done."); - //For checking accuracy - //if(((MLE_data*)data)->check == 1 ) - //{ - // acc_struct acc_s = check_acc(data, N, ts); - // printf("normA:%.2e normDenseAppdiff:%.2e Accuracy: %.2e\n", acc_s.normA, acc_s.normDenseAppDiff, acc_s.accuracyDenseAppDiff); - // } - - - //***************Kadir (should be removed) - //double * ranks = (double *) malloc( hicma_descCrk->mt * hicma_descCrk->nt * sizeof(double)); - //MORSE_Tile_to_Lapack(hicma_descCrk, ranks, hicma_descCrk->mt); - //HICMA_stat_t hicma_statrk_initial; - //zget_stat(MorseLower, ranks, hicma_descCrk->mt, hicma_descCrk->nt, hicma_descCrk->mt, &hicma_statrk_initial); - //printf("After LR cholesky max rank: %d\n", hicma_statrk_initial.max); - //********* - - //Calculate log(|C|) --> log(square(|L|)) + VERBOSE("LR:Calculating the log determinant (single precision)..."); START_TIMING(logdet_calculate); - data->det = 0; + data->det = 0; + //// TODO: RESOLVE THIS! HICMA_MLE_smdet_Tile_Async(hicma_descCD, hsequence, &hrequest[0], hicma_descdet); - MORSE_Sequence_Wait(hsequence); - logdet = 2 * data->det; + CHAMELEON_Sequence_Wait(hsequence); + logdet = 2 * data->det; STOP_TIMING(logdet_calculate); VERBOSE(" Done."); //Solving Linear System (L*X=Z)--->inv(L)*Z - VERBOSE("LR:Solving the linear system (single precision)..."); + VERBOSE("LR:Solving the linear system (single precision)..."); START_TIMING(time_solve); //Compute triangular solve LC*X = Z - //MORSE_dtrsm_Tile(MorseLeft,MorseLower,MorseNoTrans,MorseNonUnit,1,MORSE_descC,MORSE_descZ); - HICMA_ztrsmd_Tile(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, hicma_descCUV, hicma_descCD, hicma_descCrk, hicma_descZ, maxrank); + + HICMA_ztrsmd_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, hicma_descCUV, hicma_descCD, hicma_descCrk, + hicma_descZ, maxrank); STOP_TIMING(time_solve); - flops = flops + FLOPS_DTRSM(MorseLeft, N, NRHS); + flops = flops + FLOPS_DTRSM(ChamLeft, N, NRHS); VERBOSE(" Done."); - VERBOSE("LR:Calculating dot product (single precision)..."); - MORSE_sgemm_Tile (MorseTrans, MorseNoTrans, 1, hicma_descZ, hicma_descZ, 0, hicma_descproduct); - loglik = -0.5 * ((MLE_data*)data)->dotp - 0.5*logdet - (double) (N / 2.0) * log(2.0 * PI); + CHAMELEON_sgemm_Tile(ChamTrans, ChamNoTrans, 1, hicma_descZ, hicma_descZ, 0, hicma_descproduct); + loglik = -0.5 * ((MLE_data *) data)->dotp - 0.5 * logdet - (double) (N / 2.0) * log(2.0 * PI); VERBOSE(" Done."); @@ -442,490 +240,207 @@ double HICMA_smle_Tile(unsigned n, const double * theta, double * grad, void * a MPI_Bcast(&loglik,1, MPI_DOUBLE, 0, MPI_COMM_WORLD ); MPI_Bcast(theta,3, MPI_DOUBLE, 0, MPI_COMM_WORLD ); - if(MORSE_My_Mpi_Rank() == 0) + if(CHAMELEON_My_Mpi_Rank() == 0) { #endif - //Print Iteration Summary - //fprintf(stderr,"***************************************************\n"); - //fprintf(stderr,"\n------ddotproduct: %2.6f ", ((MLE_data*)data)->dotp); - //fprintf(stderr,"\n------logdet: %2.6f ", logdet); - //fprintf(stderr,"------det: %.*e ", det); - //fprintf(stderr,"\n------expr2: %2.6f ",((double) (N / 2) * log(2 * PI))); - //fprintf(stderr," ---- Theta1: %2.6f ---- Theta2: %2.6f ---- Theta3: %2.6f ----LogLi: %2.6f\n", theta[0], theta[1], theta[2],loglik); - - printf(" %3d- Model Parameters (varinace, range, smoothness): (%2.6f, %2.6f, %2.6f) ----> LogLi: %2.6f\n", - ((MLE_data*)data)->iter_count+1, theta[0], theta[1], theta[2],loglik); - - if(((MLE_data*)data)->log == 1) - fprintf(((MLE_data*)data)->pFileLog, " %3d- Model Parameters (varinace, range, smoothness): (%2.6f, %2.6f, %2.6f) ----> LogLi: %2.6f\n", ((MLE_data*)data)->iter_count+1, theta[0], theta[1], theta[2],loglik); - - //fprintf(stderr," ---- Facto Time: %6.2f\n", time_facto); - //fprintf(stderr," ---- logdet Time: %6.2f\n", logdet_calculate); - //fprintf(stderr," ---- dtrsm Time: %6.2f\n", time_solve); - //fprintf(stderr," ---- Matrix Generation Time: %6.2f\n", matrix_gen_time); - //fprintf(stderr," ---- re-store Z Vector Time: %6.2f\n", test_time); - //fprintf(stderr," ---- Total Time: %6.2f\n", matrix_gen_time+time_facto + logdet_calculate + time_solve); - //fprintf(stderr," ---- Gflop (ignore): %6.2f\n", flops / 1e9 ); - //fprintf(stderr," ---- Gflop/s: %6.2f\n", flops / 1e9 / (time_facto + time_solve)); - //fprintf(stderr," ---- Peak Performance: %6.2f Gflops/s\n", (ncores*p_grid*q_grid*16*2.3) ); - //fprintf(stderr,"***************************************************\n"); + //Print Iteration Summary + + printf(" %3d- Model Parameters (varinace, range, smoothness): (%2.6f, %2.6f, %2.6f) ----> LogLi: %2.6f\n", + ((MLE_data *) data)->iter_count + 1, theta[0], theta[1], theta[2], loglik); + + if (((MLE_data *) data)->log == 1) + fprintf(((MLE_data *) data)->pFileLog, + " %3d- Model Parameters (varinace, range, smoothness): (%2.6f, %2.6f, %2.6f) ----> LogLi: %2.6f\n", + ((MLE_data *) data)->iter_count + 1, theta[0], theta[1], theta[2], loglik); #if defined(CHAMELEON_USE_MPI) } #endif - ((MLE_data*)data)->iter_count++; + ((MLE_data *) data)->iter_count++; // for experiments - ((MLE_data*)data)->avg_exec_time_per_iter+=matrix_gen_time+time_facto + logdet_calculate + time_solve; - ((MLE_data*)data)->avg_flops_per_iter+=flops / 1e9 / (time_facto +time_solve); - ((MLE_data*)data)->final_loglik=loglik; + ((MLE_data *) data)->avg_exec_time_per_iter += matrix_gen_time + time_facto + logdet_calculate + time_solve; + ((MLE_data *) data)->avg_flops_per_iter += flops / 1e9 / (time_facto + time_solve); + ((MLE_data *) data)->final_loglik = loglik; return loglik; } -//EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC22, NULL, MorseRealDouble, dts, dts, dts * dts, nZobs, nZobs, 0, 0, nZobs, nZobs, p_grid, q_grid); -//EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC22, NULL, MorseRealDouble, dts, dts, dts * dts, nZobs, nZobs, 0, 0, nZobs, nZobs, p_grid, q_grid); -double HICMA_smle_Tile_Async(unsigned n, const double * theta, double * grad, void * data) { +double HICMA_smle_Tile_Async(unsigned n, const double* theta, double* grad, void *data) { //Initialization - /* double loglik = 0.0; - double ddotproduct = 0.0, - logdet = 0.0, - compress_diag = 0.0; - double time_facto = 0.0, - time_solve = 0.0, - logdet_calculate = 0.0, - matrix_gen_time = 0.0, - test_time = 0.0; - double flops = 0.0; - int success, maxrank, acc; - int verbose, N, NRHS; - int ts; - - - MORSE_desc_t *MORSE_descC = (MORSE_desc_t *)((MLE_data*)data)->descC; - MORSE_desc_t *hicma_descCD = (MORSE_desc_t *)((MLE_data*)data)->hicma_descCD; - MORSE_desc_t *hicma_descCUV = (MORSE_desc_t *)((MLE_data*)data)->hicma_descCUV; - MORSE_desc_t *hicma_descCrk = (MORSE_desc_t *)((MLE_data*)data)->hicma_descCrk; - MORSE_desc_t *MORSE_descZ = (MORSE_desc_t *)((MLE_data*)data)->descZ; - MORSE_desc_t *MORSE_descZcpy = (MORSE_desc_t *)((MLE_data*)data)->descZcpy; - MORSE_desc_t *MORSE_descdet = (MORSE_desc_t *)((MLE_data*)data)->descdet; - MORSE_desc_t *MORSE_descproduct = (MORSE_desc_t *)((MLE_data*)data)->descproduct; - MORSE_sequence_t *msequence = (MORSE_sequence_t *)((MLE_data*)data)->sequence; - MORSE_request_t *mrequest = (MORSE_request_t *)((MLE_data*)data)->request; - - verbose = ((MLE_data*)data)->verbose; - N = hicma_descCD->m; - NRHS = MORSE_descZ->n; - ts = MORSE_descZ->mt; //should be preinted to check - maxrank = ((MLE_data*)data)->hicma_maxrank; - acc = ((MLE_data*)data)->hicma_acc; - ((MLE_data*)data)->det = 0.0; - ((MLE_data*)data)->dotp = 0.0; - - - if (((MLE_data*)data)->iter_count==0) - //Save a copy of descZ into descZcpy for restoring each iteration - MORSE_dlacpy_Tile_Async(MorseUpperLower ,MORSE_descZcpy,MORSE_descZ,msequence,&mrequest[0]); - - - //Generate new co-variance matrix C based on new theta - if (verbose == 1 && MORSE_My_Mpi_Rank() == 0) - fprintf(stderr, "LR:Generate New Covariance Matrix..."); - START_TIMING(matrix_gen_time); - //MORSE_MLE_cmg_Tile_Async(MORSE_descC, msequence, &mrequest[0], &((MLE_data*)data)->l1, &((MLE_data*)data)->l1, theta, ((MLE_data*)data)->dm); - //ddcay is any vale for GEOSTAT (not used) - HICMA_problem_t hicma_problem; - hicma_problem.theta = (double *)theta; - hicma_problem.noise = 0.0; - hicma_problem.ndim = 2; - HICMA_zgenerate_problem(HICMA_STARSH_PROB_GEOSTAT, 'S', 0, n, ts, hicma_descCUV->mt, hicma_descCUV->nt, &hicma_problem); - mpiF = hicma_problem.starsh_format; - HICMA_zgytlr_Tile_Async(MorseLower, hicma_descCUV, hicma_descCD, hicma_descCrk, 0, maxrank, pow(10, -1.0 * acc), compress_diag, MORSE_descC, msequence, &mrequest[0]); - STOP_TIMING(matrix_gen_time); - if (verbose == 1 && MORSE_My_Mpi_Rank() == 0) - fprintf(stderr, " Done.\n"); - - - //Re-store old Z - if (verbose == 1 && MORSE_My_Mpi_Rank() == 0) - fprintf(stderr, "LR: Re-Copy z..."); - START_TIMING(test_time); - MORSE_dlacpy_Tile_Async(MorseUpperLower, MORSE_descZcpy, MORSE_descZ, msequence, &mrequest[0]); - STOP_TIMING(test_time); - if (verbose == 1 && MORSE_My_Mpi_Rank() == 0) - fprintf(stderr, " Done.\n"); - - - //Calculate Cholesky Factorization (C=LL-1) - if (verbose == 1 && MORSE_My_Mpi_Rank() == 0) - fprintf(stderr, "LR: Cholesky factorization of Sigma..."); - START_TIMING(time_facto); - //success = MORSE_dpotrf_Tile(MorseLower, MORSE_descC); - success = HICMA_zpotrf_Tile_Async(MorseLower, hicma_descCUV, hicma_descCD, hicma_descCrk, 0, maxrank, pow(10, -1.0 * acc), msequence, &mrequest[0]); - STOP_TIMING(time_facto); - if (success != MORSE_SUCCESS) { - fprintf(stderr,"Factorization cannot be performed..\n" - "The matrix is not positive definite\n\n"); - exit(0); - } - flops = flops + FLOPS_DPOTRF(N); - if (verbose == 1 && MORSE_My_Mpi_Rank() == 0) - fprintf(stderr, "LR: Done.\n"); - - - //Calculate log(|C|) --> log(square(|L|)) - if (verbose == 1 && MORSE_My_Mpi_Rank() == 0) - fprintf(stderr, "LR:Calculating the log determinant ..."); - START_TIMING(logdet_calculate); - ((MLE_data*)data)->det = 0; - MORSE_MLE_dmdet_Tile_Async(MORSE_descC, msequence, &mrequest[0],MORSE_descdet); - MORSE_Sequence_Wait(msequence); - logdet = 2 * ((MLE_data*)data)->det; - STOP_TIMING(logdet_calculate); - if (verbose == 1 && MORSE_My_Mpi_Rank() == 0) - fprintf(stderr, "LR: Done.\n"); - - - //Solving Linear System (L*X=Z)--->inv(L)*Z - if (verbose == 1 && MORSE_My_Mpi_Rank() == 0) - fprintf(stderr, "LR: Solving the linear system ...\n"); - START_TIMING(time_solve); - //Compute triangular solve LC*X = Z - //MORSE_dtrsm_Tile_Async(MorseLeft,MorseLower,MorseNoTrans,MorseNonUnit,1,MORSE_descC,MORSE_descZ,msequence,&mrequest[0]); - HICMA_ztrsmd_Tile_Async( MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, hicma_descCUV, hicma_descCD, hicma_descCrk, MORSE_descZ, maxrank, msequence, &mrequest[0]); - STOP_TIMING(time_solve); - flops = flops + FLOPS_DTRSM(MorseLeft,N, NRHS); - if (verbose == 1 && MORSE_My_Mpi_Rank() == 0) - fprintf(stderr, " Done.\n"); - - - if (verbose == 1 && MORSE_My_Mpi_Rank() == 0) - fprintf(stderr, "LR:Calculating dot product..."); - //dotp=0; - //MORSE_MLE_core_ddotp_Async(MORSE_descZ,MORSE_descproduct,msequence, &mrequest[0]); - //MORSE_Sequence_Wait(msequence); - //((MLE_data*)data)->dotp=0; - MORSE_dgemm_Tile_Async(MorseTrans, MorseNoTrans, 1, MORSE_descZ, MORSE_descZ, 0, MORSE_descproduct,msequence,&mrequest[0]); - //fprintf(stderr,"sucess: %d", success); - //exit(0); - - loglik = -0.5 * ((MLE_data*)data)->dotp - 0.5*logdet - (double) (N / 2.0) * log(2.0 * PI); - - if (verbose == 1 && MORSE_My_Mpi_Rank() == 0) - fprintf(stderr, "LR: Done.\n"); - -#if defined(CHAMELEON_USE_MPI) - MPI_Bcast(&loglik,1, MPI_DOUBLE, 0, MPI_COMM_WORLD ); - MPI_Bcast(theta,3, MPI_DOUBLE, 0, MPI_COMM_WORLD ); - - if(MORSE_My_Mpi_Rank() == 0) - { -#endif - //Print Iteration Summary - //fprintf(stderr,"***************************************************\n"); - //fprintf(stderr,"------ddotproduct: %2.6f ", ((MLE_data*)data)->dotp); - //fprintf(stderr,"------logdet: %2.6f ", logdet); - //fprintf(stderr,"------det: %.*e ", det); - //fprintf(stderr,"------expr2: %2.6f ",((double) (N / 2) * log(2 * PI))); - //fprintf(stderr," ---- Theta1: %2.6f ---- Theta2: %2.6f ---- Theta3: %2.6f ----LogLi: %2.6f\n", theta[0], theta[1], theta[2],loglik); - - fprintf(stderr," %3d- Model Parameters (varinace, range, smoothness): (%2.6f, %2.6f, %2.6f) ----> LogLi: %2.6f\n", ((MLE_data*)data)->iter_count+1, theta[0], theta[1], theta[2],loglik); - - if(((MLE_data*)data)->log == 1) - fprintf(((MLE_data*)data)->pFileLog, " %3d- Model Parameters (varinace, range, smoothness): (%2.6f, %2.6f, %2.6f) ----> LogLi: %2.6f\n", ((MLE_data*)data)->iter_count+1, theta[0], theta[1], theta[2],loglik); - - //fprintf(stderr," ---- Facto Time: %6.2f\n", time_facto); - //fprintf(stderr," ---- logdet Time: %6.2f\n", logdet_calculate); - //fprintf(stderr," ---- dtrsm Time: %6.2f\n", time_solve); - //fprintf(stderr," ---- Matrix Generation Time: %6.2f\n", matrix_gen_time); - //fprintf(stderr," ---- re-store Z Vector Time: %6.2f\n", test_time); - //fprintf(stderr," ---- Total Time: %6.2f\n", matrix_gen_time+time_facto + logdet_calculate + time_solve); - //fprintf(stderr," ---- Gflop (ignore): %6.2f\n", flops / 1e9 ); - //fprintf(stderr," ---- Gflop/s: %6.2f\n", flops / 1e9 / (time_facto + time_solve)); - //fprintf(stderr," ---- Peak Performance: %6.2f Gflops/s\n", (ncores*p_grid*q_grid*16*2.3) ); - //fprintf(stderr,"***************************************************\n"); -#if defined(CHAMELEON_USE_MPI) - } -#endif - - ((MLE_data*)data)->iter_count++; - - // for experiments - ((MLE_data*)data)->avg_exec_time_per_iter+=matrix_gen_time+time_facto + logdet_calculate + time_solve; - ((MLE_data*)data)->avg_flops_per_iter+=flops / 1e9 / (time_facto +time_solve); - ((MLE_data*)data)->final_loglik=loglik; - return loglik; - */ } -void HICMA_smle_Predict_Allocate(MLE_data *MORSE_data, int nZmiss, int nZobs, int lts, int p_grid, int q_grid, int mse_flag) -{ +void +HICMA_smle_Predict_Allocate(MLE_data *CHAM_data, int nZmiss, int nZobs, int lts, int p_grid, int q_grid, int mse_flag) { int MBC, NBC, MC, NC; int MBD, NBD, MD, ND; int MBUV, NBUV, MUV, NUV; int MBrk, NBrk, Mrk, Nrk; - MORSE_desc_t *MORSE_descZmiss = NULL; - MORSE_desc_t *hicma_descC = NULL; - MORSE_desc_t *MORSE_descC12 = NULL; - MORSE_desc_t *hicma_descC22D = NULL; - MORSE_desc_t *hicma_descC22UV = NULL; - MORSE_desc_t *hicma_descC22rk = NULL; - MORSE_desc_t *MORSE_descmse = NULL; - MORSE_desc_t *MORSE_descZactual = NULL; - MORSE_desc_t *MORSE_descZobs = NULL; - - MLE_data *data = (MLE_data*) MORSE_data; - - if(nZmiss <= 0) - { - fprintf(stderr," Number of missing values should be positive value\n"); + CHAM_desc_t *CHAMELEON_descZmiss = NULL; + CHAM_desc_t *hicma_descC = NULL; + CHAM_desc_t *CHAM_descC12 = NULL; + CHAM_desc_t *hicma_descC22D = NULL; + CHAM_desc_t *hicma_descC22UV = NULL; + CHAM_desc_t *hicma_descC22rk = NULL; + CHAM_desc_t *CHAM_descmse = NULL; + CHAM_desc_t *CHAMELEON_descZactual = NULL; + CHAM_desc_t *CHAMELEON_descZobs = NULL; + + MLE_data *data = (MLE_data *) CHAM_data; + + if (nZmiss <= 0) { + fprintf(stderr, " Number of missing values should be positive value\n"); return; } //Descriptors Creation - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZobs, NULL, MorseRealFloat, lts, lts, lts * lts, nZobs, 1, 0, 0, nZobs, 1, p_grid, q_grid); - - if( mse_flag == 1) - { - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZactual, NULL, MorseRealFloat, lts, lts, lts * lts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descmse, &data->mserror, MorseRealFloat, lts, lts, lts * lts, 1, 1, 0, 0, 1, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZobs, NULL, ChamRealFloat, lts, lts, lts * lts, nZobs, 1, 0, 0, + nZobs, 1, p_grid, q_grid); + + if (mse_flag == 1) { + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZactual, NULL, ChamRealFloat, lts, lts, lts * lts, nZmiss, 1, 0, + 0, nZmiss, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descmse, &data->mserror, ChamRealFloat, lts, lts, lts * lts, 1, 1, 0, 0, + 1, 1, p_grid, q_grid); } - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZmiss, NULL, MorseRealFloat, lts, lts, lts * lts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZmiss, NULL, ChamRealFloat, lts, lts, lts * lts, nZmiss, 1, 0, 0, + nZmiss, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC12, NULL, MorseRealFloat, lts, lts, lts * lts, nZmiss, nZobs, 0, 0, nZmiss, nZobs, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descC12, NULL, ChamRealFloat, lts, lts, lts * lts, nZmiss, nZobs, 0, 0, + nZmiss, nZobs, p_grid, q_grid); //********************************************************** //Sameh //CDense Descriptor - if(data->check == 1) - { - MBC = lts; - NBC = lts; - MC = nZobs; - NC = nZobs; + if (data->check == 1) { + MBC = lts; + NBC = lts; + MC = nZobs; + NC = nZobs; + } else { + MBC = 1; + NBC = 1; + MC = lts; + NC = lts; } - else - { - MBC = 1; - NBC = 1; - MC = lts; - NC = lts; - } - - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC, NULL , MorseRealFloat, MBC, NBC , MBC * NBC, MC, NC, 0, 0, MC, NC, p_grid, q_grid); - // printf("(1)%d - %d\n", MC, NC); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC, NULL, ChamRealFloat, MBC, NBC, MBC * NBC, MC, NC, 0, 0, MC, NC, + p_grid, q_grid); - MBD = lts; - NBD = lts; - MD = nZobs; - ND = MBD; + MBD = lts; + NBD = lts; + MD = nZobs; + ND = MBD; - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22D, NULL , MorseRealFloat, MBD, NBD, MBD * NBD, MD, ND, 0, 0, MD, ND, p_grid,q_grid); - //printf("(2)%d - %d\n", MD, ND); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22D, NULL, ChamRealFloat, MBD, NBD, MBD * NBD, MD, ND, 0, 0, MD, ND, + p_grid, q_grid); //CAD Descriptor - MBUV = lts; - NBUV = 2 * data->hicma_maxrank; - MUV = -1; + MBUV = lts; + NBUV = 2 * data->hicma_maxrank; + MUV = -1; int N_over_lts_times_lts = nZobs / lts * lts; - if(N_over_lts_times_lts < nZobs) { + if (N_over_lts_times_lts < nZobs) { MUV = N_over_lts_times_lts + lts; - } - else if (N_over_lts_times_lts == nZobs) { + } else if (N_over_lts_times_lts == nZobs) { MUV = N_over_lts_times_lts; - } - else { + } else { printf("%s %d: This case should not happen\n", __FILE__, __LINE__); exit(-1); } - double expr = (double)MUV / (double)lts; - NUV = 2 * expr * data->hicma_maxrank; - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22UV, NULL , MorseRealFloat, MBUV, NBUV, MBUV * NBUV, MUV, NUV, 0, 0, MUV, NUV, p_grid, q_grid); - //printf("(3)%d - %d\n", MUV, NUV); + double expr = (double) MUV / (double) lts; + NUV = 2 * expr * data->hicma_maxrank; + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22UV, NULL, ChamRealFloat, MBUV, NBUV, MBUV * NBUV, MUV, NUV, 0, 0, MUV, + NUV, p_grid, q_grid); //CUV Descriptor - MBrk = 1; - NBrk = 1; - Mrk = hicma_descC22UV->mt; - Nrk = hicma_descC22UV->mt; - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22rk, NULL , MorseRealFloat, MBrk, NBrk, MBrk * NBrk, Mrk, Nrk, 0, 0, Mrk, Nrk, p_grid, q_grid); - + MBrk = 1; + NBrk = 1; + Mrk = hicma_descC22UV->mt; + Nrk = hicma_descC22UV->mt; + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22rk, NULL, ChamRealFloat, MBrk, NBrk, MBrk * NBrk, Mrk, Nrk, 0, 0, Mrk, + Nrk, p_grid, q_grid); //Initiate data descriptors - data->descZmiss = MORSE_descZmiss; - data->hicma_descC = hicma_descC; - data->hicma_descC22D = hicma_descC22D; - data->hicma_descC22UV = hicma_descC22UV; - data->hicma_descC22rk = hicma_descC22rk; - data->descC12 = MORSE_descC12; - data->descmse = MORSE_descmse; - data->descZactual = MORSE_descZactual; - data->descZobs = MORSE_descZobs; + data->descZmiss = CHAMELEON_descZmiss; + data->hicma_descC = hicma_descC; + data->hicma_descC22D = hicma_descC22D; + data->hicma_descC22UV = hicma_descC22UV; + data->hicma_descC22rk = hicma_descC22rk; + data->descC12 = CHAM_descC12; + data->descmse = CHAM_descmse; + data->descZactual = CHAMELEON_descZactual; + data->descZobs = CHAMELEON_descZobs; } //Predict missing values base on a set of given values and covariance matrix -double HICMA_smle_Predict_Tile(MLE_data *MORSE_data, double * theta, int nZmiss, int nZobs, double *Zobs, double *Zactual, double *Zmiss, int n, int lts) - //! //Predict missing values base on a set of given values and covariance matrix - /*! -- MORSE-sync - * Returns the prediction Mean Square Error (MSE) as double - * @param[in] MORSE_data: MLE_data struct with different MLE inputs. - * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) - * that is used to to generate the Covariance Matrix. - * @param[in] nZmiss: number of missing values (unknown observations). - * @param[in] nZobs: number of observed values (known observations). - * @param[in] n: number of spatial locations. - * */ +double HICMA_smle_Predict_Tile(MLE_data *CHAM_data, double* theta, int nZmiss, int nZobs, double* Zobs, double* Zactual, + double* Zmiss, int n, int lts) +//! //Predict missing values base on a set of given values and covariance matrix +/*! -- CHAM-sync + * Returns the prediction Mean Square Error (MSE) as double + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. + * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] nZmiss: number of missing values (unknown observations). + * @param[in] nZobs: number of observed values (known observations). + * @param[in] n: number of spatial locations. + * */ { //initialization - //double *z = NULL; - //double *streamdata = NULL; - double time_solve = 0.0; - double mat_gen_time = 0.0; - double time_gemm = 0.0; - double time_mse = 0.0; - double flops = 0.0; - //int MBC, NBC, MC, NC; - //int MBD, NBD, MD, ND; - //int MBUV, NBUV, MUV, NUV; - //int MBrk, NBrk, Mrk, Nrk; - int maxrank = 0; - int acc = 0; - int hicma_data_type = 0; - int compress_diag = 0; - - MORSE_desc_t *MORSE_descZmiss = NULL; - MORSE_desc_t *hicma_descC = NULL; - MORSE_desc_t *MORSE_descC12 = NULL; - MORSE_desc_t *hicma_descC22D = NULL; - MORSE_desc_t *hicma_descC22UV = NULL; - MORSE_desc_t *hicma_descC22rk = NULL; - MORSE_desc_t *MORSE_descmse = NULL; - MORSE_desc_t *MORSE_descZactual = NULL; - MORSE_desc_t *MORSE_descZobs = NULL; - - MLE_data *data = (MLE_data*) MORSE_data; - MORSE_sequence_t *hsequence = (MORSE_sequence_t *) data->hsequence; - MORSE_request_t *hrequest = (MORSE_request_t *) data->hrequest; - data->mserror = 0; - maxrank = data->hicma_maxrank; - acc = data->hicma_acc; - hicma_data_type = data->hicma_data_type; - - if(nZmiss <= 0) - { - fprintf(stderr," Number of missing values should be positive value\n"); + + double time_solve = 0.0; + double mat_gen_time = 0.0; + double time_gemm = 0.0; + double time_mse = 0.0; + double flops = 0.0; + int maxrank = 0; + int acc = 0; + int hicma_data_type = 0; + int compress_diag = 0; + + CHAM_desc_t *CHAMELEON_descZmiss = NULL; + CHAM_desc_t *hicma_descC = NULL; + CHAM_desc_t *CHAM_descC12 = NULL; + CHAM_desc_t *hicma_descC22D = NULL; + CHAM_desc_t *hicma_descC22UV = NULL; + CHAM_desc_t *hicma_descC22rk = NULL; + CHAM_desc_t *CHAM_descmse = NULL; + CHAM_desc_t *CHAMELEON_descZactual = NULL; + CHAM_desc_t *CHAMELEON_descZobs = NULL; + + MLE_data *data = (MLE_data *) CHAM_data; + RUNTIME_sequence_t *hsequence = (RUNTIME_sequence_t *) data->hsequence; + RUNTIME_request_t *hrequest = (RUNTIME_request_t *) data->hrequest; + data->mserror = 0; + maxrank = data->hicma_maxrank; + acc = data->hicma_acc; + hicma_data_type = data->hicma_data_type; + + if (nZmiss <= 0) { + fprintf(stderr, " Number of missing values should be positive value\n"); return -1; } - - - - //Descriptors Creation - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZobs, NULL, MorseRealDouble, lts, lts, lts * lts, nZobs, 1, 0, 0, nZobs, 1, p_grid, q_grid); - - // if( Zactual != NULL) - // { - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZactual, NULL, MorseRealDouble, lts, lts, lts * lts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descmse, &data->mserror, MorseRealDouble, lts, lts, lts * lts, 1, 1, 0, 0, 1, 1, p_grid, q_grid); - //} - //EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZmiss, NULL, MorseRealDouble, lts, lts, lts * lts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - - - - //EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC12, NULL, MorseRealDouble, lts, lts, lts * lts, nZmiss, nZobs, 0, 0, nZmiss, nZobs, p_grid, q_grid); - //********************************************************** - - //Sameh - //CDense Descriptor - //if(data->check == 1) - // { - // MBC = lts; - // NBC = lts; - // MC = nZobs; - // NC = nZobs; - // } - // else - //{ - // MBC = 1; - // NBC = 1; - // MC = lts; - // NC = lts; - // } - - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC, NULL , MorseRealDouble, MBC, NBC , MBC * NBC, MC, NC, 0, 0, MC, NC, p_grid, q_grid); - // printf("(1)%d - %d\n", MC, NC); - - //MBD = lts; - // NBD = lts; - // MD = nZobs; - //ND = MBD; - - //EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22D, NULL , MorseRealDouble, MBD, NBD, MBD * NBD, MD, ND, 0, 0, MD, ND, p_grid,q_grid); - //printf("(2)%d - %d\n", MD, ND); - //CAD Descriptor - //MBUV = lts; - //NBUV = 2 * data->hicma_maxrank; - //MUV = -1; - //int N_over_lts_times_lts = nZobs / lts * lts; - //if(N_over_lts_times_lts < nZobs) { - // MUV = N_over_lts_times_lts + lts; - //} - //else if (N_over_lts_times_lts == nZobs) { - // MUV = N_over_lts_times_lts; - // } - // else { - //printf("%s %d: This case should not happen\n", __FILE__, __LINE__); - //exit(-1); - //} - //double expr = (double)MUV / (double)lts; - //NUV = 2 * expr * data->hicma_maxrank; - //EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22UV, NULL , MorseRealDouble, MBUV, NBUV, MBUV * NBUV, MUV, NUV, 0, 0, MUV, NUV, p_grid, q_grid); - //printf("(3)%d - %d\n", MUV, NUV); - - //CUV Descriptor - //MBrk = 1; - //NBrk = 1; - //Mrk = hicma_descC22UV->mt; - //Nrk = hicma_descC22UV->mt; - //EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22rk, NULL , MorseRealDouble, MBrk, NBrk, MBrk * NBrk, Mrk, Nrk, 0, 0, Mrk, Nrk, p_grid, q_grid); - - - //Initiate data descriptors - MORSE_descZmiss = data->descZmiss; - hicma_descC = data->hicma_descC; - hicma_descC22D = data->hicma_descC22D; - hicma_descC22UV = data->hicma_descC22UV; - hicma_descC22rk = data->hicma_descC22rk; - MORSE_descC12 = data->descC12; - MORSE_descmse = data->descmse; - MORSE_descZactual = data->descZactual; - MORSE_descZobs = data->descZobs; - //**** - //data->descZmiss = MORSE_descZmiss; - //data->hicma_descC = hicma_descC; - //data->hicma_descC22D = hicma_descC22D; - //data->hicma_descC22UV = hicma_descC22UV; - //data->hicma_descC22rk = hicma_descC22rk; - //data->descC12 = MORSE_descC12; - //data->descmse = MORSE_descmse; - //data->descZactual = MORSE_descZactual; - //data->descZobs = MORSE_descZobs; - + CHAMELEON_descZmiss = data->descZmiss; + hicma_descC = data->hicma_descC; + hicma_descC22D = data->hicma_descC22D; + hicma_descC22UV = data->hicma_descC22UV; + hicma_descC22rk = data->hicma_descC22rk; + CHAM_descC12 = data->descC12; + CHAM_descmse = data->descmse; + CHAMELEON_descZactual = data->descZactual; + CHAMELEON_descZobs = data->descZobs; //Copy data to vectors VERBOSE("Copy measurments vector to descZobs descriptor..."); - //MORSE_MLE_dzcpy_Tile_Async(MORSE_descZobs, Zobs, msequence, mrequest); - MORSE_Lapack_to_Tile( Zobs, nZobs, MORSE_descZobs); + CHAMELEON_Lapack_to_Tile(Zobs, nZobs, CHAMELEON_descZobs); VERBOSE(" Done.\n"); - if( Zactual != NULL) - { + if (Zactual != NULL) { VERBOSE("Copy actual measurments vector to descZactual descriptor..."); - //MORSE_MLE_dzcpy_Tile_Async(MORSE_descZactual, Zactual, msequence, mrequest); - MORSE_Lapack_to_Tile( Zactual, nZmiss, MORSE_descZactual); + CHAMELEON_Lapack_to_Tile(Zactual, nZmiss, CHAMELEON_descZactual); VERBOSE(" Done.\n"); } @@ -935,277 +450,279 @@ double HICMA_smle_Predict_Tile(MLE_data *MORSE_data, double * theta, int nZmiss, START_TIMING(mat_gen_time); HICMA_problem_t hicma_problem; - hicma_problem.theta= (double *)theta; - hicma_problem.noise = 1e-4; - hicma_problem.ndim = 2; + hicma_problem.theta = (double* ) theta; + hicma_problem.noise = 1e-4; + hicma_problem.ndim = 2; // I need to change the location struct to vector array (TO DO) - double *xycoord = (double *) malloc( 2 * nZobs * sizeof(double)); + double* xycoord = (double* ) malloc(2 * nZobs * sizeof(double)); int i; - for (i = 0; i < nZobs; i++) - { + for (i = 0; i < nZobs; i++) { xycoord[i] = data->lobs.x[i]; - xycoord[nZobs+i] = data->lobs.y[i]; - // printf ("%f - %f\n", data->lobs.x[i], data->lobs.y[i]); + xycoord[nZobs + i] = data->lobs.y[i]; } - hicma_problem.point = xycoord; - hicma_problem.kernel_type = strcmp(data->dm, "gc") == 0? STARSH_SPATIAL_MATERN2_GCD : STARSH_SPATIAL_MATERN2_SIMD; - HICMA_zgenerate_problem(hicma_data_type, 'S', 0, nZobs, lts, hicma_descC22UV->mt, hicma_descC22UV->nt, &hicma_problem); + hicma_problem.point = xycoord; + hicma_problem.kernel_type = strcmp(data->dm, "gc") == 0 ? STARSH_SPATIAL_MATERN2_GCD : STARSH_SPATIAL_MATERN2_SIMD; + HICMA_zgenerate_problem(hicma_data_type, 'S', 0, nZobs, lts, hicma_descC22UV->mt, hicma_descC22UV->nt, + &hicma_problem); mpiF = hicma_problem.starsh_format; - HICMA_zgytlr_Tile(MorseLower, hicma_descC22UV, hicma_descC22D, hicma_descC22rk, 0, maxrank, pow(10, -1.0 * acc), compress_diag, hicma_descC); + HICMA_zgytlr_Tile(ChamLower, hicma_descC22UV, hicma_descC22D, hicma_descC22rk, 0, maxrank, pow(10, -1.0 * acc), + compress_diag, hicma_descC); VERBOSE(" Done.\n"); //Generate C12 covariance matrix VERBOSE("LR: Generate C12 Covariance Matrix... (Prediction Stage)"); - MORSE_MLE_scmg_Tile_Async(MorseLower, MORSE_descC12, hsequence, hrequest, &data->lmiss, &data->lobs, theta, data->dm); - MORSE_Sequence_Wait(hsequence); + EXAGEOSTAT_MLE_scmg_Tile_Async(ChamLower, CHAM_descC12, hsequence, hrequest, &data->lmiss, &data->lobs, theta, + data->dm); + CHAMELEON_Sequence_Wait(hsequence); //flops = flops + FLOPS_DPOTRF(nZmiss); VERBOSE(" Done.\n"); STOP_TIMING(mat_gen_time); //*************************************** - START_TIMING(time_solve); + START_TIMING(time_solve); VERBOSE("Calculate dposv C22 Covariance Matrix... (Prediction Stage)"); - HICMA_zpotrf_Tile(MorseLower, hicma_descC22UV, hicma_descC22D, hicma_descC22rk, 0, maxrank, pow(10, -1.0 * acc)); - HICMA_ztrsmd_Tile(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, hicma_descC22UV, hicma_descC22D, hicma_descC22rk, MORSE_descZobs, maxrank); - HICMA_ztrsmd_Tile(MorseLeft, MorseLower, MorseTrans, MorseNonUnit, 1, hicma_descC22UV, hicma_descC22D, hicma_descC22rk, MORSE_descZobs, maxrank); + HICMA_zpotrf_Tile(ChamLower, hicma_descC22UV, hicma_descC22D, hicma_descC22rk, 0, maxrank, pow(10, -1.0 * acc)); + HICMA_ztrsmd_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, hicma_descC22UV, hicma_descC22D, + hicma_descC22rk, CHAMELEON_descZobs, maxrank); + HICMA_ztrsmd_Tile(ChamLeft, ChamLower, ChamTrans, ChamNonUnit, 1, hicma_descC22UV, hicma_descC22D, hicma_descC22rk, + CHAMELEON_descZobs, maxrank); flops = flops + FLOPS_DPOTRF(nZobs); - flops = flops + FLOPS_DTRSM(MorseLeft, nZobs, nZobs); + flops = flops + FLOPS_DTRSM(ChamLeft, nZobs, nZobs); VERBOSE(" Done.\n"); STOP_TIMING(time_solve); - //**************************************** - //HICMA_zuncompress(MorseUpperLower, hicma_descCUV, MORSE_descC22, hicma_descCrk); - // HICMA_zdiag_vec2mat(hicma_descCD, MORSE_descC22); - //**********************************dgemm START_TIMING(time_gemm); VERBOSE("Calculate dgemm Zmiss= C12 * Zobs Covariance Matrix... (Prediction Stage)"); - MORSE_sgemm_Tile (MorseNoTrans, MorseNoTrans, 1, MORSE_descC12, MORSE_descZobs, 0, MORSE_descZmiss); + CHAMELEON_sgemm_Tile(ChamNoTrans, ChamNoTrans, 1, CHAM_descC12, CHAMELEON_descZobs, 0, CHAMELEON_descZmiss); flops = flops + FLOPS_DGEMM(nZmiss, nZobs, nZobs); VERBOSE(" Done.\n"); - STOP_TIMING(time_gemm); + STOP_TIMING(time_gemm); //return back descZmiss to zmiss vector - MORSE_Tile_to_Lapack( MORSE_descZmiss, Zmiss, nZmiss); + CHAMELEON_Tile_to_Lapack(CHAMELEON_descZmiss, Zmiss, nZmiss); //Estimate Mean Square Error - if( Zactual != NULL) - { + if (Zactual != NULL) { START_TIMING(time_mse); VERBOSE("Calculate Mean Square Error (MSE) ... (Prediction Stage) \n"); - MORSE_MLE_smse_Tile_Async(MORSE_descZactual, MORSE_descZmiss, MORSE_descmse, hsequence, hrequest); + EXAGEOSTAT_MLE_smse_Tile_Async(CHAMELEON_descZactual, CHAMELEON_descZmiss, CHAM_descmse, hsequence, hrequest); VERBOSE(" Done.\n"); - MORSE_Sequence_Wait(hsequence); + CHAMELEON_Sequence_Wait(hsequence); STOP_TIMING(time_mse); data->mserror /= nZmiss; - } - else + } else data->mserror = -1; #if defined(CHAMELEON_USE_MPI) - if(MORSE_My_Mpi_Rank() == 0) + if(CHAMELEON_My_Mpi_Rank() == 0) { #endif - if(data->log == 1) - fprintf(data->pFileLog, "\n\n# of missing observations :%d\n\nPrediction Execution Time: %2.6f, Flops: %2.6f, Mean Square Error (MSE): %2.6f\n\n", nZmiss, (mat_gen_time+time_solve+time_mse), (flops / 1e9 / (time_solve)), data->mserror ); + if (data->log == 1) + fprintf(data->pFileLog, + "\n\n# of missing observations :%d\n\nPrediction Execution Time: %2.6f, Flops: %2.6f, Mean Square Error (MSE): %2.6f\n\n", + nZmiss, (mat_gen_time + time_solve + time_mse), (flops / 1e9 / (time_solve)), data->mserror); - write_prediction_result("predict_result.dat", n, data->hicma_acc, data->mserror, (mat_gen_time+time_solve+ time_gemm), (flops / 1e9 / (time_solve))); + write_prediction_result("predict_result.dat", n, data->hicma_acc, data->mserror, + (mat_gen_time + time_solve + time_gemm), (flops / 1e9 / (time_solve))); #if defined(CHAMELEON_USE_MPI) } #endif - return data->mserror; - - } - //init Hicma decriptors -void HICMA_smle_Call(MLE_data *data, int ncores, int gpus, int lts, int p_grid, int q_grid, int N, int nZobs, int nZmiss) -{ - - MORSE_sequence_t *msequence; - MORSE_request_t mrequest[2] = { MORSE_REQUEST_INITIALIZER, MORSE_REQUEST_INITIALIZER }; - MORSE_desc_t *hicma_descC = NULL; - MORSE_desc_t *hicma_descZ = NULL; - MORSE_desc_t *hicma_descZcpy = NULL; - MORSE_desc_t *hicma_descproduct = NULL; - MORSE_desc_t *hicma_descdet = NULL; - MORSE_desc_t *MORSE_descZmiss = NULL; - //MORSE_desc_t *MORSE_descC12 = NULL; - //MORSE_desc_t *MORSE_descC22 = NULL; - MORSE_desc_t *MORSE_descmse = NULL; - MORSE_desc_t *MORSE_descZactual = NULL; - MORSE_desc_t *MORSE_descZobs = NULL; - MORSE_desc_t *hicma_descCD = NULL; - MORSE_desc_t *hicma_descCUV = NULL; - MORSE_desc_t *hicma_descCrk = NULL; - MORSE_desc_t *hicma_descC12D = NULL; - MORSE_desc_t *hicma_descC12UV = NULL; - MORSE_desc_t *hicma_descC12rk = NULL; - MORSE_desc_t *hicma_descC22D = NULL; - MORSE_desc_t *hicma_descC22UV = NULL; - MORSE_desc_t *hicma_descC22rk = NULL; - int MBC, NBC, MC, NC; +void +HICMA_smle_Call(MLE_data *data, int ncores, int gpus, int lts, int p_grid, int q_grid, int N, int nZobs, int nZmiss) { + + RUNTIME_sequence_t *msequence; + RUNTIME_request_t mrequest[2] = {CHAMELEON_SUCCESS, CHAMELEON_SUCCESS}; + CHAM_desc_t *hicma_descC = NULL; + CHAM_desc_t *hicma_descZ = NULL; + CHAM_desc_t *hicma_descZcpy = NULL; + CHAM_desc_t *hicma_descproduct = NULL; + CHAM_desc_t *hicma_descdet = NULL; + CHAM_desc_t *CHAMELEON_descZmiss = NULL; + CHAM_desc_t *CHAM_descmse = NULL; + CHAM_desc_t *CHAMELEON_descZactual = NULL; + CHAM_desc_t *CHAMELEON_descZobs = NULL; + CHAM_desc_t *hicma_descCD = NULL; + CHAM_desc_t *hicma_descCUV = NULL; + CHAM_desc_t *hicma_descCrk = NULL; + CHAM_desc_t *hicma_descC12D = NULL; + CHAM_desc_t *hicma_descC12UV = NULL; + CHAM_desc_t *hicma_descC12rk = NULL; + CHAM_desc_t *hicma_descC22D = NULL; + CHAM_desc_t *hicma_descC22UV = NULL; + CHAM_desc_t *hicma_descC22rk = NULL; + int MBC, NBC, MC, NC; int MBD, NBD, MD, ND; int MBUV, NBUV, MUV, NUV; int MBrk, NBrk, Mrk, Nrk; //For ditributed system and should be removed - double *Zcpy=(double *) malloc(N * sizeof(double)); + double* Zcpy = (double* ) malloc(N * sizeof(double)); //CDense Descriptor - if(data->check == 1) - { - MBC = lts; - NBC = lts; - MC = N; - NC = N; - } - else - { - MBC = 1; - NBC = 1; - MC = lts; - NC = lts; + if (data->check == 1) { + MBC = lts; + NBC = lts; + MC = N; + NC = N; + } else { + MBC = 1; + NBC = 1; + MC = lts; + NC = lts; } - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC, NULL , MorseRealFloat, MBC, NBC , MBC * NBC, MC, NC, 0, 0, MC, NC, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC, NULL, ChamRealFloat, MBC, NBC, MBC * NBC, MC, NC, 0, 0, MC, NC, + p_grid, q_grid); printf("(1)%d - %d\n", MC, NC); //CAD Descriptor - MBD = lts; - NBD = lts; - MD = N; - ND = MBD; - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descCD, NULL , MorseRealFloat, MBD, NBD, MBD * NBD, MD, ND, 0, 0, MD, ND, p_grid,q_grid); + MBD = lts; + NBD = lts; + MD = N; + ND = MBD; + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descCD, NULL, ChamRealFloat, MBD, NBD, MBD * NBD, MD, ND, 0, 0, MD, ND, + p_grid, q_grid); printf("(2)%d - %d\n", MD, ND); //CAD Descriptor - MBUV = lts; - NBUV = 2 * data->hicma_maxrank; - MUV = -1; + MBUV = lts; + NBUV = 2 * data->hicma_maxrank; + MUV = -1; int N_over_lts_times_lts = N / lts * lts; - if(N_over_lts_times_lts < N) { + if (N_over_lts_times_lts < N) { MUV = N_over_lts_times_lts + lts; - } - else if (N_over_lts_times_lts == N) { + } else if (N_over_lts_times_lts == N) { MUV = N_over_lts_times_lts; - } - else { + } else { printf("%s %d: This case should not happen\n", __FILE__, __LINE__); exit(-1); } - double expr = (double)MUV / (double)lts; - NUV = 2 * expr * data->hicma_maxrank; - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descCUV, NULL , MorseRealFloat, MBUV, NBUV, MBUV * NBUV, MUV, NUV, 0, 0, MUV, NUV, p_grid, q_grid); + double expr = (double) MUV / (double) lts; + NUV = 2 * expr * data->hicma_maxrank; + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descCUV, NULL, ChamRealFloat, MBUV, NBUV, MBUV * NBUV, MUV, NUV, 0, 0, MUV, + NUV, p_grid, q_grid); printf("(3)%d - %d\n", MUV, NUV); //CUV Descriptor - MBrk = 1; - NBrk = 1; - Mrk = hicma_descCUV->mt; - Nrk = hicma_descCUV->mt; - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descCrk, NULL , MorseRealFloat, MBrk, NBrk, MBrk * NBrk, Mrk, Nrk, 0, 0, Mrk, Nrk, p_grid, q_grid); - MORSE_Sequence_Create(&msequence); + MBrk = 1; + NBrk = 1; + Mrk = hicma_descCUV->mt; + Nrk = hicma_descCUV->mt; + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descCrk, NULL, ChamRealFloat, MBrk, NBrk, MBrk * NBrk, Mrk, Nrk, 0, 0, Mrk, + Nrk, p_grid, q_grid); + CHAMELEON_Sequence_Create(&msequence); printf("(4)%d - %d\n", Mrk, Nrk); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descZ, NULL, MorseRealFloat, lts, lts, lts*lts, N, 1, 0, 0, N , 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descZcpy, Zcpy, MorseRealFloat, lts, lts, lts*lts, N, 1, 0, 0, N, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descproduct, &data->dotp, MorseRealFloat, lts, lts, lts*lts, 1, 1, 0, 0, 1, 1, p_grid,q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descdet, &data->det, MorseRealFloat, lts, lts, lts*lts, 1, 1, 0, 0,1, 1, p_grid,q_grid); - - - if(nZmiss!=0) - { - if(strcmp(data->actualZFPath,"")==0) - { - //EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZobs, &MORSE_descZcpy->mat[sizeof(double)*nZmiss], MorseRealDouble, ts, ts, ts * ts, nZobs, 1, 0, 0, nZobs, 1,p_grid,q_grid); - //MORSE_descZactual=morse_desc_submatrix(MORSE_descZcpy, 0, 0, nZmiss, 1); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZobs, &Zcpy[nZmiss], MorseRealFloat, lts, lts, lts * lts, nZobs, 1, 0, 0, nZobs, 1,p_grid,q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZactual, Zcpy, MorseRealFloat, lts, lts, lts * lts, nZmiss, 1, 0, 0, nZmiss, 1,p_grid,q_grid); - } - else - { - MORSE_descZobs = hicma_descZcpy; - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZactual, NULL, MorseRealFloat, lts, lts, lts * lts, nZmiss, 1, 0, 0, nZmiss, 1,p_grid,q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descZ, NULL, ChamRealFloat, lts, lts, lts * lts, N, 1, 0, 0, N, 1, p_grid, + q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descZcpy, Zcpy, ChamRealFloat, lts, lts, lts * lts, N, 1, 0, 0, N, 1, p_grid, + q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descproduct, &data->dotp, ChamRealFloat, lts, lts, lts * lts, 1, 1, 0, 0, 1, + 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descdet, &data->det, ChamRealFloat, lts, lts, lts * lts, 1, 1, 0, 0, 1, 1, + p_grid, q_grid); + + + if (nZmiss != 0) { + if (strcmp(data->actualZFPath, "") == 0) { + + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZobs, &Zcpy[nZmiss], ChamRealFloat, lts, lts, lts * lts, + nZobs, 1, 0, 0, nZobs, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZactual, Zcpy, ChamRealFloat, lts, lts, lts * lts, nZmiss, 1, + 0, 0, nZmiss, 1, p_grid, q_grid); + } else { + CHAMELEON_descZobs = hicma_descZcpy; + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZactual, NULL, ChamRealFloat, lts, lts, lts * lts, nZmiss, 1, + 0, 0, nZmiss, 1, p_grid, q_grid); } //C12AD Descriptor - MBD = lts; - NBD = lts; - MD = nZmiss; - ND = MBD; - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC12D, NULL, MorseRealFloat, MBD, NBD, MBD * NBD, MD, ND, 0, 0, MD, ND, p_grid, q_grid); + MBD = lts; + NBD = lts; + MD = nZmiss; + ND = MBD; + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC12D, NULL, ChamRealFloat, MBD, NBD, MBD * NBD, MD, ND, 0, 0, MD, ND, + p_grid, q_grid); //C12UV Descriptor - MBUV = lts; - NBUV = 2 * data->hicma_maxrank; - MUV = nZmiss; - NUV = 2 * MUV / lts * data->hicma_maxrank; - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC12UV, NULL, MorseRealFloat, MBUV, NBUV, MBUV * NBUV, MBUV, NBUV, 0, 0, MBUV, NBUV, p_grid, q_grid); + MBUV = lts; + NBUV = 2 * data->hicma_maxrank; + MUV = nZmiss; + NUV = 2 * MUV / lts * data->hicma_maxrank; + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC12UV, NULL, ChamRealFloat, MBUV, NBUV, MBUV * NBUV, MBUV, NBUV, 0, + 0, MBUV, NBUV, p_grid, q_grid); //C12Ark Descriptor - MBrk = 1; - NBrk = 1; - Mrk = hicma_descC12UV->mt; - Nrk = hicma_descC12UV->mt; - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC12rk, NULL, MorseRealFloat, MBrk, NBrk, MBrk * NBrk, Mrk, Nrk, 0, 0, Mrk, Nrk, p_grid, q_grid); + MBrk = 1; + NBrk = 1; + Mrk = hicma_descC12UV->mt; + Nrk = hicma_descC12UV->mt; + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC12rk, NULL, ChamRealFloat, MBrk, NBrk, MBrk * NBrk, Mrk, Nrk, 0, 0, + Mrk, Nrk, p_grid, q_grid); //C11AD Descriptor - MBD = lts; - NBD = lts; - MD = nZobs; - ND = MBD; - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22D, NULL, MorseRealFloat, MBD, NBD, MBD * NBD, MD, ND, 0, 0, MD, ND, p_grid,q_grid); + MBD = lts; + NBD = lts; + MD = nZobs; + ND = MBD; + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22D, NULL, ChamRealFloat, MBD, NBD, MBD * NBD, MD, ND, 0, 0, MD, ND, + p_grid, q_grid); //C12UV Descriptor - MBUV = lts; - NBUV = 2 * data->hicma_maxrank; - MUV = nZobs; - NUV = 2 * MUV / lts * data->hicma_maxrank; - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22UV, NULL, MorseRealFloat, MBUV, NBUV, MBUV * NBUV, MBUV, NBUV, 0, 0, MBUV, NBUV, p_grid, q_grid); + MBUV = lts; + NBUV = 2 * data->hicma_maxrank; + MUV = nZobs; + NUV = 2 * MUV / lts * data->hicma_maxrank; + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22UV, NULL, ChamRealFloat, MBUV, NBUV, MBUV * NBUV, MBUV, NBUV, 0, + 0, MBUV, NBUV, p_grid, q_grid); //C12Ark Descriptor - MBrk = 1; - NBrk = 1; - Mrk = hicma_descC22UV->mt; - Nrk = hicma_descC22UV->mt; - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22rk,NULL , MorseRealFloat, MBrk, NBrk, MBrk * NBrk, Mrk, Nrk, 0, 0, Mrk, Nrk, p_grid, q_grid); + MBrk = 1; + NBrk = 1; + Mrk = hicma_descC22UV->mt; + Nrk = hicma_descC22UV->mt; + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22rk, NULL, ChamRealFloat, MBrk, NBrk, MBrk * NBrk, Mrk, Nrk, 0, 0, + Mrk, Nrk, p_grid, q_grid); //Other descriptors - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZmiss, NULL, MorseRealFloat, lts, lts, lts * lts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descmse, &data->mserror, MorseRealFloat, lts, lts, lts * lts, 1, 1, 0, 0, 1, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZmiss, NULL, ChamRealFloat, lts, lts, lts * lts, nZmiss, 1, 0, 0, + nZmiss, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descmse, &data->mserror, ChamRealFloat, lts, lts, lts * lts, 1, 1, 0, 0, + 1, 1, p_grid, q_grid); } //Fill data struct - data->hicma_descC = hicma_descC; - data->hicma_descCD = hicma_descCD; - data->hicma_descCUV = hicma_descCUV; - data->hicma_descCrk = hicma_descCrk; - data->hicma_descZ = hicma_descZ; - data->hicma_descZcpy = hicma_descZcpy; - data->hicma_descdet = hicma_descdet; + data->hicma_descC = hicma_descC; + data->hicma_descCD = hicma_descCD; + data->hicma_descCUV = hicma_descCUV; + data->hicma_descCrk = hicma_descCrk; + data->hicma_descZ = hicma_descZ; + data->hicma_descZcpy = hicma_descZcpy; + data->hicma_descdet = hicma_descdet; data->hicma_descproduct = hicma_descproduct; - data->descZmiss = MORSE_descZmiss; - data->hicma_descC12D = hicma_descC12D; - data->hicma_descC12UV = hicma_descC12UV; - data->hicma_descC12rk = hicma_descC12rk; - data->hicma_descC22D = hicma_descC22D; - data->hicma_descC22UV = hicma_descC22UV; - data->hicma_descC22rk = hicma_descC22rk; - data->descmse = MORSE_descmse; - data->descZactual = MORSE_descZactual; - data->descZobs = MORSE_descZobs; - data->hsequence = msequence; - data->hrequest = mrequest; - data->mserror = 0; + data->descZmiss = CHAMELEON_descZmiss; + data->hicma_descC12D = hicma_descC12D; + data->hicma_descC12UV = hicma_descC12UV; + data->hicma_descC12rk = hicma_descC12rk; + data->hicma_descC22D = hicma_descC22D; + data->hicma_descC22UV = hicma_descC22UV; + data->hicma_descC22rk = hicma_descC22rk; + data->descmse = CHAM_descmse; + data->descZactual = CHAMELEON_descZactual; + data->descZobs = CHAMELEON_descZobs; + data->hsequence = msequence; + data->hrequest = mrequest; + data->mserror = 0; //stop gsl error handler - gsl_set_error_handler_off () ; - -} + gsl_set_error_handler_off(); +} \ No newline at end of file diff --git a/exageostat_approx/src/compute/MLE_ng_lr.c b/exageostat_approx/src/compute/MLE_ng_lr.c new file mode 100644 index 0000000..8dbebc1 --- /dev/null +++ b/exageostat_approx/src/compute/MLE_ng_lr.c @@ -0,0 +1,1244 @@ +/** + * + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology + * All rights reserved. + * + * ExaGeoStat is a software package provided by KAUST + **/ +/** + * @file MLE_lr.c + * + * + * ExaGeoStat is a software package provided by KAUST, + * King Abdullah University of Science and Technology - ECRC + * + * @version 1.2.0 + * @author Sameh Abdulah + * @date 2022-11-09 + * + **/ +#include "../include/MLE_lr.h" +#include "hicma/misc/auxcompute_z.h" +#include "hicma_d.h" + +//*************************************************************************************** +//HiCMA global variables. +int store_only_diagonal_ng_tiles = 1; +int print_index_ng = 0; +extern STARSH_blrf *mpiF; +int use_scratch_ng = 1; +int global_check_ng = 0; //used to create dense matrix for accuracy check +int print_mat_ng = 0; +int calc_rank_stat_ng = 0; //Calculate the rank. Set to 0 in normal execution. +double* Ark_initial_ng; +double* Ark_old_ng; +int flag2 = 0; + +int EXAGEOSTAT_TLR_MLE_dzvg_ng_Tile(MLE_data *data, double* Nrand, double* initial_theta, int n, int dts, int log, int p_grid, + int q_grid) { + //! Generate Observations Vector (Z) for testing Maximum + /*! Likelihood function -- HICMA-sync + * Returns Z observation vector + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] Nrand: A uniform random vector with size n that is used to generate Z . + * @param[in] initial_theta: Theta vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] n: Problem size (number spatial locations). + * @param[in] dts: tile size (MB) is used only in the case of HiCMA not MORSE. + * @param[in] log: equals one if the user needs to generate log files for his problem. + * @param[in] p_grid: p_grid in the case of distributed system. + * @param[in] q_grid: q_grid in the case of distributed system. + * */ + //Initialization + RUNTIME_sequence_t *msequence; + RUNTIME_request_t mrequest[2] = {CHAMELEON_SUCCESS, CHAMELEON_SUCCESS}; + CHAM_desc_t *CHAM_descC = NULL; + CHAM_desc_t *CHAMELEON_descZ = NULL; + CHAM_desc_t *CHAMELEON_descproduct = NULL; + double* univariate_theta; + double* univariate2_theta; + double* univariate3_theta; + double nu12; + double rho; + double sigma_square12; + + //Create two dense descriptors to generate the measurment vectors + CHAMELEON_Sequence_Create(&msequence); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descC, NULL, ChamRealDouble, dts, dts, dts * dts, n, n, 0, 0, n, n, p_grid, + q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZ, NULL, ChamRealDouble, dts, dts, dts * dts, n, 1, 0, 0, n, 1, + p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descproduct, &data->dotp, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, + 1, p_grid, q_grid); + + //Generate the co-variance matrix C + VERBOSE("LR: Initializing Covariance Matrix (Synthetic Dataset Dense Generation Phase)....."); + + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { + + univariate_theta = (double* ) malloc(3 * sizeof(double)); + univariate2_theta = (double* ) malloc(3 * sizeof(double)); + univariate3_theta = (double* ) malloc(3 * sizeof(double)); + univariate_theta[0] = initial_theta[0]; + univariate_theta[1] = initial_theta[2]; + univariate_theta[2] = initial_theta[3]; + + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, chameleon_desc_submatrix(CHAM_descC, 0, 0, CHAM_descC->m / 2, + CHAM_descC->n / 2), &data->l1, &data->l1, + &data->lm, univariate_theta, data->dm, + "univariate_matern_stationary", msequence, mrequest); + + + nu12 = 0.5 * (initial_theta[3] + initial_theta[4]); + rho = initial_theta[5] * sqrt((tgamma(initial_theta[3] + 1) * tgamma(initial_theta[4] + 1)) / + (tgamma(initial_theta[3]) * tgamma(initial_theta[4]))) * + tgamma(nu12) / tgamma(nu12 + 1); + sigma_square12 = rho * sqrt(initial_theta[0] * initial_theta[1]); + + univariate2_theta[0] = sigma_square12; + univariate2_theta[1] = initial_theta[2]; + univariate2_theta[2] = nu12; + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, chameleon_desc_submatrix(CHAM_descC, CHAM_descC->m / 2, + 0, CHAM_descC->m / 2, CHAM_descC->n / 2), + &data->l1, &data->l1, &data->lm, + univariate2_theta, data->dm, "univariate_matern_stationary", msequence, mrequest); + + univariate3_theta[0] = initial_theta[1]; + univariate3_theta[1] = initial_theta[2]; + univariate3_theta[2] = initial_theta[4]; + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, chameleon_desc_submatrix(CHAM_descC, CHAM_descC->m / 2, + CHAM_descC->n / 2, CHAM_descC->m / 2, + CHAM_descC->n / 2), &data->l1, &data->l1, + &data->lm, univariate3_theta, data->dm, "univariate_matern_stationary", msequence, + mrequest); + } else if (strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) { + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, data->descC, &data->l1, + &data->l1, &data->lm, initial_theta, + data->dm, "univariate_matern_stationary", msequence, mrequest); + } else { + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAM_descC, &data->l1, + &data->l1, &data->lm, initial_theta, + data->dm, data->kernel_fun, msequence, mrequest); + } + + CHAMELEON_Sequence_Wait(msequence); + VERBOSE(" Done.\n"); + + + //Copy Nrand to Z + VERBOSE("LR: Generate Normal Random Distribution Vector Z (Synthetic Dataset Dense Generation Phase) ....."); + EXAGEOSTAT_MLE_dzcpy_Tile_Async(CHAMELEON_descZ, Nrand, msequence, mrequest); + VERBOSE(" Done.\n"); + + //Cholesky factorization for the Co-variance matrix C + VERBOSE("LR: Cholesky factorization of Sigma (Synthetic Dataset Dense Generation Phase) ....."); + int success = CHAMELEON_dpotrf_Tile(ChamLower, CHAM_descC); + SUCCESS(success, "LR: Factorization cannot be performed..\n The matrix is not positive definite\n\n"); + VERBOSE(" Done.\n"); + + //Triangular matrix-matrix multiplication + VERBOSE("LR: Triangular matrix-matrix multiplication Z=L.e (Synthetic Dataset Dense Generation Phase) ....."); + CHAMELEON_dtrmm_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAM_descC, CHAMELEON_descZ); + VERBOSE(" Done.\n"); + + //Gaussian to non-gaussian transformation + VERBOSE("Convert Z Gaussian to non-Gaussian (Synthetic Dataset Generation Phase) ....."); + EXAGEOSTAT_g_to_ng_Tile_Async(CHAMELEON_descZ, initial_theta, msequence, mrequest); + VERBOSE(" Done.\n"); + + //if log==1 write vector to disk + if (log == 1) { + double* z; +#if defined(CHAMELEON_USE_MPI) + z = (double* ) malloc(n * sizeof(double)); + CHAMELEON_Tile_to_Lapack( CHAMELEON_descZ, z, n); +#else + z = CHAMELEON_descZ->mat; +#endif + write_vectors(z, data, n); +#if defined(CHAMELEON_USE_MPI) + free(z); +#endif + } + + VERBOSE("LR: Done Z Vector Dense Generation Phase. (Chameleon Synchronous)\n"); + VERBOSE("************************************************************\n"); + + + data->descZ = CHAMELEON_descZ; + data->descproduct = CHAMELEON_descproduct; + data->sequence = msequence; + data->request = mrequest; + //Destory dense descriptors to save memory. + CHAMELEON_Desc_Destroy(&CHAM_descC); + return 0; +} + + +void EXAGEOSTAT_TLR_MLE_ng_zcpy(MLE_data *data, double* streamdata) + //! Copy measurements vector from Lapack + /*! format to Chameleon format. + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] streamdata: measurments vector in lapack format. + * */ +{ + RUNTIME_sequence_t *hsequence = (RUNTIME_sequence_t *) data->hsequence; + RUNTIME_request_t *hrequest = (RUNTIME_request_t *) data->hrequest; + VERBOSE("LR: Copy Z from vector to decriptor.\n"); + EXAGEOSTAT_MLE_dzcpy_Tile_Async(data->hicma_descZ, streamdata, hsequence, hrequest); + CHAMELEON_Sequence_Wait(hsequence); + VERBOSE("LR: Done Z copying step.\n"); + VERBOSE("************************************************************\n"); +} + +int +EXAGEOSTAT_TLR_MLE_dzvg_ng_Tile_Async(MLE_data *data, double* Nrand, double* initial_theta, int n, int dts, int log, int p_grid, + int q_grid) { + //! Generate Observations Vector (Z) for testing Maximum + /*! Likelihood function -- HICMA-async + * Returns Z observation vector + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] Nrand: A uniform random vector with size n that is used to generate Z . + * @param[in] initial_theta: Theta vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] n: Problem size (number spatial locations). + * @param[in] dts: tile size (MB) is used only in the case of HiCMA not MORSE. + * @param[in] log: equals one if the user needs to generate log files for his problem. + * @param[in] p_grid: p_grid in the case of distributed system. + * @param[in] q_grid: q_grid in the case of distributed system. + * */ + //Initialization + RUNTIME_sequence_t *msequence; + RUNTIME_request_t mrequest[2] = {CHAMELEON_SUCCESS, CHAMELEON_SUCCESS}; + CHAM_desc_t *CHAM_descC = NULL; + CHAM_desc_t *CHAMELEON_descZ = NULL; + + + //Create two dense descriptors to generate the measurment vectors + CHAMELEON_Sequence_Create(&msequence); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descC, NULL, ChamRealDouble, dts, dts, dts * dts, n, n, 0, 0, n, n, p_grid, + q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZ, NULL, ChamRealDouble, dts, dts, dts * dts, n, 1, 0, 0, n, 1, + p_grid, q_grid); + + + //Generate the co-variance matrix C + VERBOSE("LR: Initializing Covariance Matrix (Synthetic Dataset Dense Generation Phase)....."); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAM_descC, &data->l1, &data->l1, &data->lm, initial_theta, data->dm, + data->kernel_fun, msequence, mrequest); + VERBOSE(" Done.\n"); + + //Copy Nrand to Z + VERBOSE("LR: Generate Normal Random Distribution Vector Z (Synthetic Dataset Dense Generation Phase) ....."); + EXAGEOSTAT_MLE_dzcpy_Tile_Async(CHAMELEON_descZ, Nrand, msequence, mrequest); + VERBOSE(" Done.\n"); + + //Cholesky factorization for the Co-variance matrix C + VERBOSE("LR: Cholesky factorization of Sigma (Synthetic Dataset Dense Generation Phase) ....."); + int success = CHAMELEON_dpotrf_Tile_Async(ChamLower, CHAM_descC, msequence, mrequest); + SUCCESS(success, "LR: Factorization cannot be performed..\n The matrix is not positive definite\n\n"); + VERBOSE(" Done.\n"); + + //Triangular matrix-matrix multiplication + VERBOSE("LR: Triangular matrix-matrix multiplication Z=L.e (Synthetic Dataset Dense Generation Phase) ....."); + CHAMELEON_dtrmm_Tile_Async(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAM_descC, CHAMELEON_descZ, msequence, + mrequest); + VERBOSE(" Done.\n"); + + //if log==1 write vector to disk + if (log == 1) { + double* z; +#if defined(CHAMELEON_USE_MPI) + z = (double* ) malloc(n * sizeof(double)); + CHAMELEON_Tile_to_Lapack( CHAMELEON_descZ, z, n); +#else + z = CHAMELEON_descZ->mat; +#endif + write_vectors(z, data, n); +#if defined(CHAMELEON_USE_MPI) + free(z); +#endif + } + + VERBOSE("LR: Done Z Vector Dense Generation Phase. (Chameleon Synchronous)\n"); + VERBOSE("************************************************************\n"); + + + data->descZ = CHAMELEON_descZ; + data->sequence = msequence; + data->request = mrequest; + //Destory dense descriptors to save memory. + CHAMELEON_Desc_Destroy(&CHAM_descC); + return 0; +} + +//compute MLE function +double EXAGEOSTAT_TLR_dmle_ng_Tile(unsigned n, const double* theta, double* grad, void *app_data) + //! Maximum Likelihood Evaluation (MLE) + /*! -- HICMA-sync + * Returns the loglikelihhod value for the given theta. + * @param[in] n: unsigned variable used by NLOPT library. + * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] grad: double variable used by NLOPT library. + * @param[in] app_data: MLE_data struct with different MLE inputs. + * */ +{ + //Initialization + double loglik = 0.0; + int compress_diag = 0; + double logdet = 0.0; + double time_facto = 0.0, + time_solve = 0.0, + logdet_calculate = 0.0, + matrix_gen_time = 0.0, + test_time = 0.0; + double flops = 0.0; + int success, maxrank, acc; + int N, NRHS; + int lts;//, dts; + int hicma_data_type; + int i = 0; + int num_params = 0; + + MLE_data *data = (MLE_data *) app_data; + HICMA_desc_t *hicma_descC = (HICMA_desc_t *) data->hicma_descC; + HICMA_desc_t *hicma_descCD = (HICMA_desc_t *) data->hicma_descCD; + HICMA_desc_t *hicma_descCUV = (HICMA_desc_t *) data->hicma_descCUV; + HICMA_desc_t *hicma_descCrk = (HICMA_desc_t *) data->hicma_descCrk; + HICMA_desc_t *hicma_descZ = (HICMA_desc_t *) data->hicma_descZ; + CHAM_desc_t *cham_descZ = (CHAM_desc_t *) data->descZ; + HICMA_desc_t *hicma_descZcpy = (HICMA_desc_t *) data->hicma_descZcpy; + HICMA_desc_t *hicma_descdet = (HICMA_desc_t *) data->hicma_descdet; + HICMA_desc_t *hicma_descproduct = (HICMA_desc_t *) data->hicma_descproduct; + CHAM_desc_t *cham_descproduct = (CHAM_desc_t *) data->descproduct; + HICMA_sequence_t *hsequence = (HICMA_sequence_t *) data->hsequence; + HICMA_request_t *hrequest = (HICMA_request_t *) data->hrequest; + HICMA_desc_t *hicma_descsum = (HICMA_desc_t *) data->descsum; + + if (strcmp(data->kernel_fun, "univariate_matern_stationary") == 0 || + strcmp(data->kernel_fun, "univariate_pow_exp_stationary") == 0) + num_params = 3; + else if (strcmp(data->kernel_fun, "univariate_matern_nuggets_stationary") == 0) + num_params = 4; + else if (strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) + num_params = 9; + else if (strcmp(data->kernel_fun, "bivariate_matern_flexible") == 0) + num_params = 11; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0) + num_params = 6; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0) + num_params = 6; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) + num_params = 6; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) + num_params = 6; + else if (strcmp(data->kernel_fun, "univariate_matern_non_gaussian") == 0 || + strcmp(data->kernel_fun, "univariate_exp_non_gaussian") == 0) { + num_params = 6; + } else { + fprintf(stderr, "Choosen kernel is not exist(2)!\n"); + fprintf(stderr, "Called function is: %s\n", __func__); + exit(0); + } + + for(int k=0;km; + NRHS = hicma_descZ->n; + lts = hicma_descZ->mb; + + maxrank = ((MLE_data *) data)->hicma_maxrank; + acc = ((MLE_data *) data)->hicma_acc; + hicma_data_type = ((MLE_data *) data)->hicma_data_type; + data->det = 0; + data->dotp = 0; + + //Save a copy of descZ into descZcpy for restoring each iteration + if (data->iter_count == 0) { + + if (strcmp(data->locsFPath, "") == 0) { + double* z = (double* ) malloc(N * sizeof(double)); + CHAMELEON_Tile_to_Lapack(cham_descZ, z, N); + HICMA_Lapack_to_Tile(z, N, hicma_descZ); + free(z); + //CHAMELEON_Desc_Destroy(&cham_descZ); + } + HICMA_dlacpy_Tile(ChamUpperLower, hicma_descZ, hicma_descZcpy); + } + if (strcmp(data->recovery_file, "") != 0 && + recover(data->recovery_file, data->iter_count, theta, &loglik, num_params)); + + else { + //Save a copy of descZ into descZcpy for restoring each iteration + + //Matrix generation part. + VERBOSE("LR:Generate New Covariance Matrix..."); + START_TIMING(matrix_gen_time); + + HICMA_problem_t hicma_problem; + hicma_problem.theta = (double* ) theta; + hicma_problem.noise = 1e-4; + hicma_problem.ndim = 2; + + // I need to change the location struct to vector array (TO DO) + double* xycoord = (double* ) malloc(2 * N * sizeof(double)); + + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) { + int j = 0; + for (i = 0; i < N; i++) { + xycoord[i] = data->l1.x[j]; + xycoord[N + i] = data->l1.y[j]; + if (i % 2 != 0) + j++; + } + hicma_problem.kernel_type = + strcmp(data->dm, "gc") == 0 ? STARSH_SPATIAL_PARSIMONIOUS_GCD : STARSH_SPATIAL_PARSIMONIOUS_SIMD; + } else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { + int j = 0; + for (i = 0; i < N; i++) { + if (i == N / 2) + j = 0; + xycoord[i] = data->l1.x[j]; + xycoord[N + i] = data->l1.y[j]; + j++; + } + hicma_problem.kernel_type = + strcmp(data->dm, "gc") == 0 ? STARSH_SPATIAL_PARSIMONIOUS2_GCD : STARSH_SPATIAL_PARSIMONIOUS2_SIMD; + } else { + for (i = 0; i < N; i++) { + xycoord[i] = data->l1.x[i]; + xycoord[N + i] = data->l1.y[i]; + } + + hicma_problem.kernel_type = + strcmp(data->dm, "gc") == 0 ? STARSH_SPATIAL_MATERN2_GCD : STARSH_SPATIAL_MATERN2_SIMD; + } + + hicma_problem.point = xycoord; + HICMA_zgenerate_problem(hicma_data_type, 'S', 0, N, lts, hicma_descCUV->mt, hicma_descCUV->nt, &hicma_problem); + mpiF = hicma_problem.starsh_format; + HICMA_zgytlr_Tile(HicmaLower, hicma_descCUV, hicma_descCD, hicma_descCrk, 0, maxrank, pow(10, -1.0 * acc), + compress_diag, hicma_descC); + STOP_TIMING(matrix_gen_time); + VERBOSE(" Done.\n"); + + //****************************** + VERBOSE("LR: re-Copy z..."); + START_TIMING(test_time); + //re-store old Z + HICMA_dlacpy_Tile(HicmaUpperLower, hicma_descZcpy, hicma_descZ); + STOP_TIMING(test_time); + VERBOSE(" Done.\n"); + + //************* + //Calculate Cholesky Factorization (C=LL-1) + VERBOSE("LR: Cholesky factorization of Sigma..."); + START_TIMING(time_facto); + + success = HICMA_dpotrf_Tile(HicmaLower, hicma_descCUV, hicma_descCD, hicma_descCrk, 0, maxrank, + pow(10, -1.0 * acc)); + + SUCCESS(success, "LR: Factorization cannot be performed..\n The matrix is not positive definite\n\n"); + STOP_TIMING(time_facto); + flops = flops + FLOPS_DPOTRF(N); + VERBOSE(" Done."); + + //********* + //Calculate log(|C|) --> log(square(|L|)) + VERBOSE("LR:Calculating the log determinant ..."); + START_TIMING(logdet_calculate); + data->det = 0; + EXAGEOSTAT_TLR_MLE_dmdet_Tile_Async(hicma_descCD, hsequence, &hrequest[0], hicma_descdet); + CHAMELEON_Sequence_Wait(hsequence); + logdet = 2 * data->det; + STOP_TIMING(logdet_calculate); + VERBOSE(" Done."); + + if (strcmp(data->kernel_fun, "univariate_matern_non_gaussian") == 0 + || strcmp(data->kernel_fun, "univariate_exp_non_gaussian") == 0) { + + + VERBOSE("Transform Z vector to Gaussian field ..."); + //double *z = (double *) malloc(1 * sizeof(double)); + //CHAMELEON_Tile_to_Lapack(cham_descproduct, z, 1); + //HICMA_Lapack_to_Tile(z, 1, hicma_descproduct); + //free(z); + EXAGEOSTAT_ng_transform_lr_Tile_Async(hicma_descZ, hicma_descproduct, theta, hsequence, + hrequest); + + CHAMELEON_Sequence_Wait(hsequence); + VERBOSE(" Done.\n"); + data->sum = 0; + + VERBOSE("Copy to chameleon"); + { + double *z = (double *) malloc(1 * N * sizeof(double)); + HICMA_Tile_to_Lapack(hicma_descZ, z, N); + CHAMELEON_Lapack_to_Tile(z, N, cham_descZ); + free(z); + } + VERBOSE("LR:Calculating dot product..."); + + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, cham_descZ, cham_descZ, 0, cham_descproduct); + + double local_sum = data->dotp; + double global_sum; +#if defined(CHAMELEON_USE_MPI) + MPI_Allreduce(&local_sum, &global_sum, 1, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD); +#else + global_sum = data->dotp; +#endif + if (isnan(global_sum)) { +#if defined(CHAMELEON_USE_MPI) + if(CHAMELEON_My_Mpi_Rank() == 0) + { +#endif + printf(" %3d- Model Parameters (", data->iter_count + 1); + i = 0; + for (; i < num_params; i++) { + printf("%.8f", theta[i]); + if (i < num_params - 1) + printf(","); + + results.estimated_theta[i] = theta[i]; + if (data->log == 1) + fprintf(data->pFileLog, "%.8f, ", theta[i]); + } + printf(")----> (infinity case) LogLi: %.18f\n", -FLT_MAX); +#if defined(CHAMELEON_USE_MPI) + } +#endif + data->iter_count++; + return -FLT_MAX; + } + VERBOSE("Calculate non-Gaussian loglik ..."); + EXAGEOSTAT_ng_loglike_lr_Tile_Async(hicma_descZ, hicma_descsum, theta, hsequence, hrequest); + CHAMELEON_Sequence_Wait(hsequence); + VERBOSE(" Done.\n"); + } + + //Solving Linear System (L*X=Z)--->inv(L)*Z + VERBOSE("LR:Solving the linear system ..."); + START_TIMING(time_solve); + //Compute triangular solve LC*X = Z + + HICMA_dtrsmd_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, hicma_descCUV, hicma_descCD, hicma_descCrk, + hicma_descZ, maxrank); + STOP_TIMING(time_solve); + flops = flops + FLOPS_DTRSM(ChamLeft, N, NRHS); + VERBOSE(" Done."); + VERBOSE("Copy to chameleon"); + { + double *z = (double *) malloc(N * sizeof(double)); + HICMA_Tile_to_Lapack(hicma_descZ, z, N); + CHAMELEON_Lapack_to_Tile(z, N, cham_descZ); + free(z); + } + VERBOSE(" Done.\n"); + VERBOSE("LR:Calculating dot product..."); + //printf("%d, %d, %d\n", cham_descZ->nb, cham_descproduct->nb, hicma_descZ->nb); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, cham_descZ, cham_descZ, 0, cham_descproduct); + + loglik = -0.5 * ((MLE_data *) data)->dotp - 0.5 * logdet;// - (double) (N / 2.0) * log(2.0 * PI); + + loglik = loglik - data->sum - N * log(theta[3]) - (double) (N / 2.0) * log(2.0 * PI); //theta[3] = omega; + VERBOSE(" Done."); + + //Calculate the ranks + if (calc_rank_stat_ng == 1) { + int i = 0; + int MBrk = 1; + int NBrk = 1; + int Mrk = hicma_descCUV->mt; + int Nrk = hicma_descCUV->mt; + if (flag2 == 0) { + flag2 = 1; + Ark_initial_ng = (double* ) calloc(Mrk * Nrk, sizeof(double)); + Ark_old_ng = (double* ) calloc(Mrk * Nrk, sizeof(double)); + } + CHAMELEON_Tile_to_Lapack(hicma_descCrk, Ark_initial_ng, Mrk); + for (i = 0; i < Mrk * Nrk; i++) { + if (Ark_initial_ng[i] > Ark_old_ng[i]) { + Ark_old_ng[i] = Ark_initial_ng[i]; + } + } + + if (CHAMELEON_My_Mpi_Rank() == 0) { + fwrite_array(hicma_descCrk->m, hicma_descCrk->n, hicma_descCrk->m, Ark_old_ng, "ranks.csv"); + print_array(hicma_descCrk->m, hicma_descCrk->n, hicma_descCrk->m, Ark_old_ng, stdout); + HICMA_stat_t hicma_statrk_initial; + zget_stat(ChamLower, Ark_old_ng, Mrk, Nrk, Mrk, &hicma_statrk_initial); + zprint_stat(hicma_statrk_initial); + fflush(stderr); + fflush(stdout); + } + } + //multiplicative scale + data->variance = theta[0]; + } +#if defined(CHAMELEON_USE_MPI) + MPI_Bcast(&loglik,1, MPI_DOUBLE, 0, MPI_COMM_WORLD ); + + if(CHAMELEON_My_Mpi_Rank() == 0) + { +#endif + //Print Iteration Summary + fprintf(stderr, "\n------ddotproduct: %.8f ", ((MLE_data *) data)->dotp); + fprintf(stderr, "\n------logdet: %.8f ", logdet); + + fprintf(stderr, "\n------expr2: %.8f ", ((double) (N / 2) * log(2 * PI))); + printf(" %3d- Model Parameters (", ((MLE_data *) data)->iter_count + 1); + + if (data->log == 1) + fprintf(((MLE_data *) data)->pFileLog, " %3d- Model Parameters (", ((MLE_data *) data)->iter_count + 1); + + if (strcmp(((MLE_data *) data)->kernel_fun, "bivariate_matern_parsimonious_profile") == 0 || + strcmp(((MLE_data *) data)->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { + printf("%.8f, %.8f,", ((MLE_data *) data)->variance1, ((MLE_data *) data)->variance2); + i = 2; + results.estimated_theta[0] = data->variance1; + results.estimated_theta[1] = data->variance2; + } else + i = 0; + for (; i < num_params; i++) { + printf("%.8f", theta[i]); + if (i < num_params - 1) + printf(","); + results.estimated_theta[i] = theta[i]; + + if (((MLE_data *) data)->log == 1) + fprintf(((MLE_data *) data)->pFileLog, "%.8f, ", theta[i]); + } + + printf(")----> LogLi: %.18f\n", loglik); + if (((MLE_data *) data)->log == 1) + fprintf(((MLE_data *) data)->pFileLog, ")----> LogLi: %.18f\n", loglik); + fprintf(stderr, " ---- Facto Time: %.8f\n", time_facto); + fprintf(stderr, " ---- Matrix Generation Time: %.8f\n", matrix_gen_time); + fprintf(stderr, " ---- Total Time: %.8f\n", matrix_gen_time + time_facto + logdet_calculate + time_solve); + fprintf(stderr, " ---- Gflop (ignore): %.8f\n", flops / 1e9); + + +#if defined(CHAMELEON_USE_MPI) + } +#endif + + ((MLE_data *) data)->iter_count++; + // for experiments + ((MLE_data *) data)->avg_exec_time_per_iter += matrix_gen_time + time_facto + logdet_calculate + time_solve; + ((MLE_data *) data)->avg_generation_per_iter += matrix_gen_time; + ((MLE_data *) data)->avg_cholesky_per_iter += time_facto; + ((MLE_data *) data)->avg_solve_per_iter += time_solve; + ((MLE_data *) data)->avg_flops_per_iter += flops / 1e9 / (time_facto + time_solve); + ((MLE_data *) data)->final_loglik = loglik; + + results.final_loglik = loglik; + return loglik; +} + +void EXAGEOSTAT_TLR_dmle_ng_Predict_Allocate(MLE_data *CHAM_data, int nZmiss, int nZobs, int lts, int p_grid, int q_grid, + int mse_flag) + //! Allocate prediction operation descriptors. + /*! + * Returns MLE_data data with initial values and new descriptors locations. + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. + * @param[in] nZmiss: number of missing values (unknown observations). + * @param[in] nZobs: number of observed values (known observations). + * @param[in] dts: tile size (MB). + * @param[in] p_grid: p_grid in the case of distributed system. + * @param[in] q_grid: q_grid in the case of distributed system. + * @param[in] mse_flag: flag to enable or disable Mean Square Error (MSE) computing. + * */ +{ + int MBC, NBC, MC, NC; + int MBD, NBD, MD, ND; + int MBUV, NBUV, MUV, NUV; + int MBrk, NBrk, Mrk, Nrk; + CHAM_desc_t *CHAMELEON_descZmiss = NULL; + CHAM_desc_t *hicma_descC = NULL; + CHAM_desc_t *CHAM_descC12 = NULL; + CHAM_desc_t *hicma_descC22D = NULL; + CHAM_desc_t *hicma_descC22UV = NULL; + CHAM_desc_t *hicma_descC22rk = NULL; + CHAM_desc_t *CHAM_descmse = NULL; + CHAM_desc_t *CHAMELEON_descZactual = NULL; + CHAM_desc_t *CHAMELEON_descZobs = NULL; + CHAM_desc_t *CHAMELEON_descr = NULL; + CHAM_desc_t *CHAMELEON_descrcpy = NULL; + + MLE_data *data = (MLE_data *) CHAM_data; + + if (nZmiss <= 0) { + fprintf(stderr, " Number of missing values should be positive value\n"); + return; + } + + //Descriptors Creation + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZobs, NULL, ChamRealDouble, lts, lts, lts * lts, nZobs, 1, 0, 0, + nZobs, 1, p_grid, q_grid); + + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descr, NULL, ChamRealDouble, lts, lts, lts * lts, nZobs, nZmiss, 0, 0, + nZobs, nZmiss, p_grid, q_grid); + + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descrcpy, NULL, ChamRealDouble, lts, lts, lts * lts, nZobs, nZmiss, 0, 0, + nZobs, nZmiss, p_grid, q_grid); + + if (mse_flag == 1) { + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZactual, NULL, ChamRealDouble, lts, lts, lts * lts, nZmiss, 1, 0, + 0, nZmiss, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descmse, &data->mserror, ChamRealDouble, lts, lts, lts * lts, 1, 1, 0, 0, + 1, 1, p_grid, q_grid); + } + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZmiss, NULL, ChamRealDouble, lts, lts, lts * lts, nZmiss, 1, 0, 0, + nZmiss, 1, p_grid, q_grid); + + + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descC12, NULL, ChamRealDouble, lts, lts, lts * lts, nZmiss, nZmiss, 0, 0, + nZmiss, nZmiss, p_grid, q_grid); + //********************************************************** + //CDense Descriptor + if (data->check == 1) { + MBC = lts; + NBC = lts; + MC = nZobs; + NC = nZobs; + } else { + MBC = 1; + NBC = 1; + MC = lts; + NC = lts; + } + + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC, NULL, ChamRealDouble, MBC, NBC, MBC * NBC, MC, NC, 0, 0, MC, NC, + p_grid, q_grid); + + MBD = lts; + NBD = lts; + MD = nZobs; + ND = MBD; + + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22D, NULL, ChamRealDouble, MBD, NBD, MBD * NBD, MD, ND, 0, 0, MD, ND, + p_grid, q_grid); + + //CAD Descriptor + MBUV = lts; + NBUV = 2 * data->hicma_maxrank; + MUV = -1; + int N_over_lts_times_lts = nZobs / lts * lts; + if (N_over_lts_times_lts < nZobs) { + MUV = N_over_lts_times_lts + lts; + } else if (N_over_lts_times_lts == nZobs) { + MUV = N_over_lts_times_lts; + } else { + printf("%s %d: This case should not happen\n", __FILE__, __LINE__); + exit(-1); + } + double expr = (double) MUV / (double) lts; + NUV = 2 * expr * data->hicma_maxrank; + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22UV, NULL, ChamRealDouble, MBUV, NBUV, MBUV * NBUV, MUV, NUV, 0, 0, + MUV, NUV, p_grid, q_grid); + + //CUV Descriptor + MBrk = 1; + NBrk = 1; + Mrk = hicma_descC22UV->mt; + Nrk = hicma_descC22UV->mt; + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&hicma_descC22rk, NULL, ChamRealDouble, MBrk, NBrk, MBrk * NBrk, Mrk, Nrk, 0, 0, + Mrk, Nrk, p_grid, q_grid); + + //Initiate data descriptors + data->descZmiss = CHAMELEON_descZmiss; + data->hicma_descC = hicma_descC; + data->hicma_descC22D = hicma_descC22D; + data->hicma_descC22UV = hicma_descC22UV; + data->hicma_descC22rk = hicma_descC22rk; + data->descC12 = CHAM_descC12; + data->descmse = CHAM_descmse; + data->descZactual = CHAMELEON_descZactual; + data->descZobs = CHAMELEON_descZobs; + data->descr = CHAMELEON_descr; + data->descrcpy = CHAMELEON_descrcpy; +} + +//Predict missing values base on a set of given values and covariance matrix + double +EXAGEOSTAT_TLR_dmle_ng_Predict_Tile(MLE_data *CHAM_data, double* theta, int nZmiss, int nZobs, double* Zobs, double* Zactual, + double* Zmiss, int n, int lts) + //! //Predict missing values base on a set of given values and covariance matrix + /*! -- HICMA-sync + * Returns the prediction Mean Square Error (MSE) as double + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. + * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] nZmiss: number of missing values (unknown observations). + * @param[in] nZobs: number of observed values (known observations). + * @param[in] Zobs: observed values vector (known observations). + * @param[in] Zmiss missing values vector (unknown observations). + * @param[in] Zactual: actual missing values vector (in the case of testing MSE). + * @param[in] n: number of spatial locations. + * */ +{ + //initialization + double time_solve = 0.0; + double dposv_time = 0.0; + double mat_gen_time = 0.0; + double mat_gen_time2 = 0.0; + double gemms_time = 0.0; + double trsms_time = 0.0; + double time_mse = 0.0; + double flops = 0.0; + int num_params = 0; + double mu = -1; + double sigma_sq = -1; + int maxrank = 0; + int acc = 0; + int hicma_data_type = 0; + int compress_diag = 0; + + CHAM_desc_t *HICMA_descproduct = NULL; + CHAM_desc_t *CHAMELEON_descZmiss = NULL; + CHAM_desc_t *hicma_descC = NULL; + CHAM_desc_t *CHAM_descC12 = NULL; + CHAM_desc_t *hicma_descC22D = NULL; + CHAM_desc_t *hicma_descC22UV = NULL; + CHAM_desc_t *hicma_descC22rk = NULL; + CHAM_desc_t *CHAM_descmse = NULL; + CHAM_desc_t *CHAMELEON_descZactual = NULL; + CHAM_desc_t *CHAMELEON_descZobs = NULL; + CHAM_desc_t *CHAMELEON_descr = NULL; + CHAM_desc_t *CHAMELEON_descrcpy = NULL; + + + MLE_data *data = (MLE_data *) CHAM_data; + RUNTIME_sequence_t *hsequence = (RUNTIME_sequence_t *) data->hsequence; + RUNTIME_request_t *hrequest = (RUNTIME_request_t *) data->hrequest; + data->mserror = 0; + maxrank = data->hicma_maxrank; + acc = data->hicma_acc; + hicma_data_type = data->hicma_data_type; + + if (nZmiss <= 0) { + fprintf(stderr, " Number of missing values should be positive value\n"); + return -1; + } + + //Initiate data descriptors + CHAMELEON_descZmiss = data->descZmiss; + hicma_descC = data->hicma_descC; + hicma_descC22D = data->hicma_descC22D; + hicma_descC22UV = data->hicma_descC22UV; + hicma_descC22rk = data->hicma_descC22rk; + CHAM_descC12 = data->descC12; + CHAM_descmse = data->descmse; + CHAMELEON_descZactual = data->descZactual; + CHAMELEON_descZobs = data->descZobs; + CHAMELEON_descr = data->descr; + CHAMELEON_descrcpy = data->descrcpy; + HICMA_descproduct = data->descproduct; + + //Copy data to vectors + VERBOSE("Copy measurments vector to descZobs descriptor..."); + CHAMELEON_Lapack_to_Tile(Zobs, nZobs, CHAMELEON_descZobs); + VERBOSE(" Done.\n"); + + if (Zactual != NULL) { + VERBOSE("Copy actual measurments vector to descZactual descriptor..."); + CHAMELEON_Lapack_to_Tile(Zactual, nZmiss, CHAMELEON_descZactual); + VERBOSE(" Done.\n"); + } + + //********************************************* + if (strcmp(data->kernel_fun, "univariate_matern_non_gaussian") == 0 || + strcmp(data->kernel_fun, "univariate_exp_non_gaussian") == 0) + num_params = 6; + else { + fprintf(stderr, "Choosen kernel is not exist(1)!\n"); + fprintf(stderr, "Called function is: %s\n", __func__); + exit(0); + } + + +#if defined(CHAMELEON_USE_MPI) + MPI_Bcast(&data->variance, 1, MPI_DOUBLE, 0, MPI_COMM_WORLD ); +#endif + theta[0] = data->variance; + printf("----estimated parameters:"); + int i = 0; + for (i = 0; i < num_params; i++) { + printf("%.8f,", theta[i]); + + } + printf(")\n"); + START_TIMING(mat_gen_time); + //Convert the non-Gaussian observation to Gaussian + EXAGEOSTAT_ng_transform_Tile_Async(CHAMELEON_descZobs, HICMA_descproduct, theta, hsequence, hrequest); + //Generate R_theta covariance matrix + VERBOSE("Generate R_theta Covariance Matrix... (Prediction Stage)"); + HICMA_problem_t hicma_problem; + hicma_problem.theta = (double* ) theta; + hicma_problem.noise = 1e-4; + hicma_problem.ndim = 2; + + double* xycoord = (double* ) malloc(4 * nZobs * sizeof(double)); + int index; + // I need to change the location struct to vector array (TO DO) + for (index = 0; index < nZobs; index++) { + xycoord[index] = data->lobs.x[index]; + xycoord[nZobs + index] = data->lobs.y[index]; + } + + hicma_problem.point = xycoord; + HICMA_zgenerate_problem(hicma_data_type, 'S', 0, nZobs, lts, hicma_descC22UV->mt, hicma_descC22UV->nt, + &hicma_problem); + mpiF = hicma_problem.starsh_format; + HICMA_zgytlr_Tile(ChamLower, hicma_descC22UV, hicma_descC22D, hicma_descC22rk, 0, maxrank, pow(10, -1.0 * acc), + compress_diag, hicma_descC); + VERBOSE(" Done.\n"); + STOP_TIMING(mat_gen_time); + //***************************************************sto + START_TIMING(time_solve); + VERBOSE("Calculate dposv C22 Covariance Matrix... (Prediction Stage)"); + HICMA_dpotrf_Tile(ChamLower, hicma_descC22UV, hicma_descC22D, hicma_descC22rk, 0, maxrank, pow(10, -1.0 * acc)); + HICMA_dtrsmd_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, hicma_descC22UV, hicma_descC22D, + hicma_descC22rk, CHAMELEON_descZobs, maxrank); + HICMA_dtrsmd_Tile(ChamLeft, ChamLower, ChamTrans, ChamNonUnit, 1, hicma_descC22UV, hicma_descC22D, hicma_descC22rk, + CHAMELEON_descZobs, maxrank); + flops = flops + FLOPS_DPOTRF(nZobs); + flops = flops + FLOPS_DTRSM(ChamLeft, nZobs, nZobs); + VERBOSE(" Done.\n"); + STOP_TIMING(time_solve); + //************************************************************* + START_TIMING(mat_gen_time2); + VERBOSE("Generate r_theta Covariance Matrix... (Prediction Stage)"); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAMELEON_descr, &data->lobs, &data->lmiss, + &data->lm, theta, data->dm, data->kernel_fun, hsequence, hrequest); + CHAMELEON_Sequence_Wait(hsequence); + VERBOSE(" Done.\n"); + STOP_TIMING(mat_gen_time2); + CHAMELEON_dlacpy_Tile(ChamUpperLower, CHAMELEON_descr, CHAMELEON_descrcpy); + + //************************************ + START_TIMING(trsms_time); + VERBOSE("Calculate dposv r_theta Covariance Matrix... (Prediction Stage)"); + HICMA_dtrsmd_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, hicma_descC22UV, hicma_descC22D, + hicma_descC22rk, CHAMELEON_descr, maxrank); + HICMA_dtrsmd_Tile(ChamLeft, ChamLower, ChamTrans, ChamNonUnit, 1, hicma_descC22UV, hicma_descC22D, hicma_descC22rk, + CHAMELEON_descr, maxrank); + + VERBOSE(" Done.\n"); + STOP_TIMING(trsms_time); + + //**********************************dgemm + START_TIMING(gemms_time); + VERBOSE("For each missing location, Generate correlation vector CHAMELEON_descr (Prediction Stage) ....."); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAMELEON_descrcpy, CHAMELEON_descZobs, 0, CHAMELEON_descZmiss); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAMELEON_descrcpy, CHAMELEON_descr, 0, CHAM_descC12); + STOP_TIMING(gemms_time); + double* r = (double* ) malloc(nZmiss * nZmiss * sizeof(double)); + double* Zmiss2 = (double* ) malloc(nZmiss * sizeof(double)); + + double* ng_nu = (double* ) malloc(nZmiss * sizeof(double)); + double* ng_sigma_sq = (double* ) malloc(nZmiss * sizeof(double)); + + CHAMELEON_Tile_to_Lapack(CHAM_descC12, r, nZmiss); + CHAMELEON_Tile_to_Lapack(data->descZmiss, Zmiss2, nZmiss); + + for (i = 0; i < nZmiss; i++) { + mu = Zmiss2[i]; + sigma_sq = 1 - r[i * nZmiss + i]; + ng_nu[i] = mu; + ng_sigma_sq[i] = sigma_sq; + //r^t X Z + Zmiss[i] = theta[2] + (theta[3] / (theta[4] * sqrt(1 - theta[5] * sigma_sq))) * + exp(theta[5] * pow(mu, 2) / (2 * (1 - theta[5] * sigma_sq))) * + (exp((pow(theta[4], 2) * sigma_sq + 2 * theta[4] * mu) / + (2 * (1 - theta[5] * sigma_sq))) - 1); + } + VERBOSE(" Done.\n"); + CHAMELEON_Lapack_to_Tile(Zmiss, nZmiss, CHAMELEON_descZmiss); + //Estimate Mean Square Error + if (Zactual != NULL) { + START_TIMING(time_mse); + VERBOSE("Calculate Mean Square Error (MSE) ... (Prediction Stage) \n"); + EXAGEOSTAT_MLE_dmse_Tile_Async(CHAMELEON_descZactual, CHAMELEON_descZmiss, CHAM_descmse, hsequence, hrequest); + VERBOSE(" Done.\n"); + CHAMELEON_Sequence_Wait(hsequence); + STOP_TIMING(time_mse); + data->mserror /= nZmiss; + } else + data->mserror = -1; + +#if defined(CHAMELEON_USE_MPI) + if(CHAMELEON_My_Mpi_Rank() == 0) + { +#endif + //output + results.mse_pred1 = data->mserror1; + results.mse_pred2 = data->mserror2; + results.mse_pred = data->mserror; + results.total_pred_time = mat_gen_time + mat_gen_time2 + dposv_time + gemms_time + trsms_time; + time_solve = dposv_time + trsms_time; + printf("%f, %d, %f\n", dposv_time, nZmiss, trsms_time); + results.total_pred_flops = flops / 1e9 / (time_solve); + printf("%f\n", results.total_pred_flops); + if (data->log == 1) + fprintf(data->pFileLog, + "\n\n# of missing observations :%d\n\nPrediction Execution Time: %.8f, Flops: %.8f, Mean Square Error (MSE): %.8f\n\n", + nZmiss, results.total_pred_time, results.total_pred_flops, data->mserror); + + write_prediction_result("predict_result.dat", nZmiss, data->hicma_acc, data->mserror1, data->mserror2, + data->mserror3, data->mserror, (mat_gen_time + time_solve + gemms_time), + (flops / 1e9 / (time_solve))); + + printf("%f, %f, %f, %f, %f\n", mat_gen_time, mat_gen_time2, dposv_time, gemms_time, trsms_time); + + FILE *pFile; + char* nFileZ = (char* ) malloc(50 * sizeof(char)); + + + snprintf(nFileZ, 50, "%s%f%s%f%s%f%s", "./predict_tlr_", results.initial_theta[0], "_", results.initial_theta[4], + "_", results.initial_theta[5], ".log"); + pFile = fopen(nFileZ, "a"); + + if (pFile == NULL) { + printf("Cannot access the results path(3)\n"); + return -1; + } + for (i = 0; i < nZmiss; i++) { + fprintf(pFile, "%f ", data->lmiss.x[i]); + fprintf(pFile, "%f ", data->lmiss.y[i]); + fprintf(pFile, "%f ", Zactual[i]); + fprintf(pFile, "%f ", Zmiss[i]); + fprintf(pFile, "%f ", ng_nu[i]); + fprintf(pFile, "%f ", ng_sigma_sq[i]); + fprintf(pFile, "%f \n", data->mserror); + } + fclose(pFile); + +#if defined(CHAMELEON_USE_MPI) + } +#endif + + return data->mserror; +} +//init Hicma decriptors + +void EXAGEOSTAT_TLR_dmle_ng_Call(MLE_data *data, int ncores, int gpus, int lts, int p_grid, int q_grid, int N, int nZobs, int nZmiss) //! //Initiate HICMA and allocate different descriptors for + /*! HICMA + * Returns MLE_data data with initial values and new descriptors locations. + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] ncores: number of CPU workers. + * @param[in] gpus: number of GPU workers. + * @param[in] dts: tile size (MB). + * @param[in] p_grid: p_grid in the case of distributed system. + * @param[in] q_grid: q_grid in the case of distributed system. + * @param[in] N: number of spatial locations. + * @param[in] nZobs: number of observed values (known observations). + * @param[in] nZmiss: number of missing values (unknown observations). + * */ +{ + + HICMA_sequence_t *msequence; + HICMA_request_t mrequest[2] = {HICMA_SUCCESS, HICMA_SUCCESS}; + HICMA_desc_t *hicma_descC = NULL; + HICMA_desc_t *hicma_descZ = NULL; + CHAM_desc_t *descZ = NULL; + CHAM_desc_t *cham_descZcpy = NULL; + HICMA_desc_t *hicma_descZcpy = NULL; + CHAM_desc_t *descproduct = NULL; + HICMA_desc_t *hicma_descdet = NULL; + HICMA_desc_t *hicma_descproduct = NULL; + CHAM_desc_t *CHAMELEON_descZmiss = NULL; + CHAM_desc_t *CHAM_descmse = NULL; + CHAM_desc_t *CHAMELEON_descZactual = NULL; + CHAM_desc_t *CHAMELEON_descZobs = NULL; + HICMA_desc_t *hicma_descCD = NULL; + HICMA_desc_t *hicma_descCUV = NULL; + HICMA_desc_t *hicma_descCrk = NULL; + HICMA_desc_t *hicma_descC12D = NULL; + HICMA_desc_t *hicma_descC12UV = NULL; + HICMA_desc_t *hicma_descC12rk = NULL; + HICMA_desc_t *hicma_descC22D = NULL; + HICMA_desc_t *hicma_descC22UV = NULL; + HICMA_desc_t *hicma_descC22rk = NULL; + HICMA_desc_t *hicma_descsum = NULL; + int MBC, NBC, MC, NC; + int MBD, NBD, MD, ND; + int MBUV, NBUV, MUV, NUV; + int MBrk, NBrk, Mrk, Nrk; + //For ditributed system and should be removed + double *Zcpy = (double *) malloc(N * sizeof(double)); + + //CDense Descriptor + if (data->check == 1) { + MBC = lts; + NBC = lts; + MC = N; + NC = N; + } else { + MBC = 1; + NBC = 1; + MC = lts; + NC = lts; + } + + HICMA_Desc_Create(&hicma_descC, NULL, HicmaRealDouble, MBC, NBC, MBC * NBC, MC, NC, 0, 0, MC, NC, + p_grid, q_grid); + printf("MC=%d, NC=%d\n", MC, NC); + + //CAD Descriptor + MBD = lts; + NBD = lts; + MD = N; + ND = MBD; + printf("MBD=%d, NBD=%d, MD=%d, ND=%d \n", MBD, NBD, MD, ND); + HICMA_Desc_Create(&hicma_descCD, NULL, HicmaRealDouble, MBD, NBD, MBD * NBD, MD, ND, 0, 0, MD, ND, + p_grid, q_grid); + //CAD Descriptor + MBUV = lts; + NBUV = 2 * data->hicma_maxrank; + MUV = -1; + int N_over_lts_times_lts = N / lts * lts; + if (N_over_lts_times_lts < N) { + MUV = N_over_lts_times_lts + lts; + } else if (N_over_lts_times_lts == N) { + MUV = N_over_lts_times_lts; + } else { + printf("%s %d: This case should not happen\n", __FILE__, __LINE__); + exit(-1); + } + + double expr = (double) MUV / (double) lts; + NUV = 2 * expr * data->hicma_maxrank; + HICMA_Desc_Create(&hicma_descCUV, NULL, HicmaRealDouble, MBUV, NBUV, MBUV * NBUV, MUV, NUV, 0, 0, MUV, + NUV, p_grid, q_grid); + + //CUV Descriptor + MBrk = 1; + NBrk = 1; + Mrk = hicma_descCUV->mt; + Nrk = hicma_descCUV->mt; + HICMA_Desc_Create(&hicma_descCrk, NULL, HicmaRealDouble, MBrk, NBrk, MBrk * NBrk, Mrk, Nrk, 0, 0, Mrk, + Nrk, p_grid, q_grid); + HICMA_Sequence_Create(&msequence); + HICMA_Desc_Create(&hicma_descZ, NULL, HicmaRealDouble, lts, lts, lts * lts, N, 1, 0, 0, N, 1, p_grid, q_grid); + //EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&descZ, NULL, ChamRealDouble, lts, lts, lts * lts, N, 1, 0, 0, N, 1, p_grid, + // q_grid); + HICMA_Desc_Create(&hicma_descZcpy, Zcpy, HicmaRealDouble, lts, lts, lts * lts, N, 1, 0, 0, N, 1, + p_grid, q_grid); + // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&descproduct, &data->dotp, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, + // 1, p_grid, q_grid); + HICMA_Desc_Create(&hicma_descproduct, &data->dotp, HicmaRealDouble, lts, lts, lts * lts, 1, 1, 0, 0, 1, + 1, p_grid, q_grid); + HICMA_Desc_Create(&hicma_descdet, &data->det, HicmaRealDouble, lts, lts, lts * lts, 1, 1, 0, 0, 1, 1, + p_grid, q_grid); + + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&cham_descZcpy, Zcpy, ChamRealDouble, lts, lts, lts * lts, N, 1, 0, 0, N, 1, + p_grid, q_grid); + if (nZmiss != 0) { + if (strcmp(data->actualZFPath, "") == 0) { + //EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZobs, &CHAMELEON_descZcpy->mat[sizeof(double)*nZmiss], ChamRealDouble, ts, ts, ts * ts, nZobs, 1, 0, 0, nZobs, 1,p_grid,q_grid); + //CHAMELEON_descZactual=chameleon_desc_submatrix(CHAMELEON_descZcpy, 0, 0, nZmiss, 1); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZobs, &Zcpy[nZmiss], ChamRealDouble, lts, lts, lts * lts, + nZobs, 1, 0, 0, nZobs, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZactual, Zcpy, ChamRealDouble, lts, lts, lts * lts, nZmiss, + 1, 0, 0, nZmiss, 1, p_grid, q_grid); + } else { + CHAMELEON_descZobs = cham_descZcpy; + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZactual, NULL, ChamRealDouble, lts, lts, lts * lts, nZmiss, + 1, 0, 0, nZmiss, 1, p_grid, q_grid); + } + + + //C12AD Descriptor + MBD = lts; + NBD = lts; + MD = nZmiss; + ND = MBD; + HICMA_Desc_Create(&hicma_descC12D, NULL, HicmaRealDouble, MBD, NBD, MBD * NBD, MD, ND, 0, 0, MD, + ND, p_grid, q_grid); + //C12UV Descriptor + MBUV = lts; + NBUV = 2 * data->hicma_maxrank; + MUV = nZmiss; + NUV = 2 * MUV / lts * data->hicma_maxrank; + HICMA_Desc_Create(&hicma_descC12UV, NULL, HicmaRealDouble, MBUV, NBUV, MBUV * NBUV, MBUV, NBUV, 0, + 0, MBUV, NBUV, p_grid, q_grid); + + //C12Ark Descriptor + MBrk = 1; + NBrk = 1; + Mrk = hicma_descC12UV->mt; + Nrk = hicma_descC12UV->mt; + HICMA_Desc_Create(&hicma_descC12rk, NULL, HicmaRealDouble, MBrk, NBrk, MBrk * NBrk, Mrk, Nrk, 0, 0, + Mrk, Nrk, p_grid, q_grid); + + //C11AD Descriptor + MBD = lts; + NBD = lts; + MD = nZobs; + ND = MBD; + HICMA_Desc_Create(&hicma_descC22D, NULL, HicmaRealDouble, MBD, NBD, MBD * NBD, MD, ND, 0, 0, MD, + ND, p_grid, q_grid); + + //C12UV Descriptor + MBUV = lts; + NBUV = 2 * data->hicma_maxrank; + MUV = nZobs; + NUV = 2 * MUV / lts * data->hicma_maxrank; + HICMA_Desc_Create(&hicma_descC22UV, NULL, HicmaRealDouble, MBUV, NBUV, MBUV * NBUV, MBUV, NBUV, 0, + 0, MBUV, NBUV, p_grid, q_grid); + //C12Ark Descriptor + MBrk = 1; + NBrk = 1; + Mrk = hicma_descC22UV->mt; + Nrk = hicma_descC22UV->mt; + HICMA_Desc_Create(&hicma_descC22rk, NULL, HicmaRealDouble, MBrk, NBrk, MBrk * NBrk, Mrk, Nrk, 0, 0, + Mrk, Nrk, p_grid, q_grid); + + + //Other descriptors + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZmiss, NULL, ChamRealDouble, lts, lts, lts * lts, nZmiss, 1, 0, + 0, nZmiss, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descmse, &data->mserror, ChamRealDouble, lts, lts, lts * lts, 1, 1, 0, 0, + 1, 1, p_grid, q_grid); + } + + HICMA_Desc_Create(&hicma_descsum, &data->sum, HicmaRealDouble, lts, lts, lts * lts, 1, 1, 0, 0, 1, + 1, p_grid, q_grid); + + //Fill data struct + data->hicma_descC = hicma_descC; + data->hicma_descCD = hicma_descCD; + data->hicma_descCUV = hicma_descCUV; + data->hicma_descCrk = hicma_descCrk; + data->hicma_descZ = hicma_descZ; + data->hicma_descZcpy = hicma_descZcpy; + data->hicma_descdet = hicma_descdet; + data->descproduct = descproduct; + data->hicma_descproduct = hicma_descproduct; + data->descZmiss = CHAMELEON_descZmiss; + data->hicma_descC12D = hicma_descC12D; + data->hicma_descC12UV = hicma_descC12UV; + data->hicma_descC12rk = hicma_descC12rk; + data->hicma_descC22D = hicma_descC22D; + data->hicma_descC22UV = hicma_descC22UV; + data->hicma_descC22rk = hicma_descC22rk; + data->descmse = CHAM_descmse; + data->descZactual = CHAMELEON_descZactual; + data->descZobs = CHAMELEON_descZobs; + data->descZ = descZ; + data->hsequence = msequence; + data->hrequest = mrequest; + data->mserror = 0; + data->descsum = hicma_descsum; + //stop gsl error handler + gsl_set_error_handler_off(); + +} diff --git a/exageostat_approx/src/compute/dpotrf_diag.c b/exageostat_approx/src/compute/dpotrf_diag.c index ab6bccc..dbbf4ad 100755 --- a/exageostat_approx/src/compute/dpotrf_diag.c +++ b/exageostat_approx/src/compute/dpotrf_diag.c @@ -12,47 +12,51 @@ * * @file dpotrf.c * - * MORSE computational routines - * MORSE is a software package provided by Univ. of Tennessee, + * CHAMELEON computational routines + * CHAMELEON is a software package provided by Univ. of Tennessee, * Univ. of California Berkeley and Univ. of Colorado Denver * - * @version 1.1.0 + * @version 1.2.0 * @comment This file has been automatically generated - * from Plasma 2.5.0 for MORSE 1.0.0 + * from Plasma 2.5.0 for CHAMELEON 1.0.0 * @author Jakub Kurzak * @author Mathieu Faverge * @author Emmanuel Agullo * @author Cedric Castagnede - * @date 2018-11-11 + * @date 2022-11-09 * @generated d Fri Dec 1 14:38:30 2017 * **/ #include "../include/diag.h" +#include +#include +#include +#include /***************************************************************************//** * * @ingroup double * - * MORSE_dpotrf - Computes the Cholesky factorization of a symmetric positive definite + * CHAMELEON_dpotrf - Computes the Cholesky factorization of a symmetric positive definite * (or Symmetric positive definite in the real case) matrix A. * The factorization has the form * - * \f[ A = \{_{L\times L^H, if uplo = MorseLower}^{U^H\times U, if uplo = MorseUpper} \f] + * \f[ A = \{_{L\times L^H, if uplo = ChamLower}^{U^H\times U, if uplo = ChamUpper} \f] * * where U is an upper triangular matrix and L is a lower triangular matrix. * ******************************************************************************* * * @param[in] uplo - * = MorseUpper: Upper triangle of A is stored; - * = MorseLower: Lower triangle of A is stored. + * = ChamUpper: Upper triangle of A is stored; + * = ChamLower: Lower triangle of A is stored. * * @param[in] N * The order of the matrix A. N >= 0. * * @param[in,out] A * On entry, the symmetric positive definite (or Symmetric) matrix A. - * If uplo = MorseUpper, the leading N-by-N upper triangular part of A + * If uplo = ChamUpper, the leading N-by-N upper triangular part of A * contains the upper triangular part of the matrix A, and the strictly lower triangular * part of A is not referenced. * If UPLO = 'L', the leading N-by-N lower triangular part of A contains the lower @@ -67,83 +71,83 @@ ******************************************************************************* * * @return - * \retval MORSE_SUCCESS successful exit + * \retval CHAMELEON_SUCCESS successful exit * \retval <0 if -i, the i-th argument had an illegal value * \retval >0 if i, the leading minor of order i of A is not positive definite, so the * factorization could not be completed, and the solution has not been computed. * ******************************************************************************* * - * @sa MORSE_dpotrf_Tile - * @sa MORSE_dpotrf_Tile_Async - * @sa MORSE_cpotrf - * @sa MORSE_dpotrf - * @sa MORSE_spotrf - * @sa MORSE_dpotrs + * @sa CHAMELEON_dpotrf_Tile + * @sa CHAMELEON_dpotrf_Tile_Async + * @sa CHAM_cpotrf + * @sa CHAM_dpotrf + * @sa CHAM_spotrf + * @sa CHAM_dpotrs * ******************************************************************************/ -int MORSE_dpotrf_diag(MORSE_enum uplo, int N, - double *A, int LDA, int diag_thick) -{ +int CHAM_dpotrf_diag(CHAM_enum uplo, int N, + double* A, int LDA, int diag_thick) { int NB; int status; - MORSE_context_t *morse; - MORSE_sequence_t *sequence = NULL; - MORSE_request_t request = MORSE_REQUEST_INITIALIZER; - MORSE_desc_t descAl, descAt; + RUNTIME_sequence_t *sequence = NULL; + RUNTIME_request_t *request = CHAMELEON_SUCCESS; + CHAM_desc_t descAl, descAt; - morse = morse_context_self(); - if (morse == NULL) { - morse_fatal_error("MORSE_diag_dpotrf", "MORSE not initialized"); - return MORSE_ERR_NOT_INITIALIZED; + CHAM_context_t *chamctxt; + chamctxt = chameleon_context_self(); + if (chamctxt == NULL) { + chameleon_fatal_error("CHAM_diag_dpotrf", "CHAM not initialized"); + return CHAMELEON_ERR_NOT_INITIALIZED; } + /* Check input arguments */ - if ((uplo != MorseUpper) && (uplo != MorseLower)) { - morse_error("MORSE_diag_dpotrf", "illegal value of uplo"); + if ((uplo != ChamUpper) && (uplo != ChamLower)) { + chameleon_error("CHAM_diag_dpotrf", "illegal value of uplo"); return -1; } if (N < 0) { - morse_error("MORSE_diag_dpotrf", "illegal value of N"); + chameleon_error("CHAM_diag_dpotrf", "illegal value of N"); return -2; } if (LDA < chameleon_max(1, N)) { - morse_error("MORSE_diag_dpotrf", "illegal value of LDA"); + chameleon_error("CHAM_diag_dpotrf", "illegal value of LDA"); return -4; } /* Quick return */ if (chameleon_max(N, 0) == 0) - return MORSE_SUCCESS; + return CHAMELEON_SUCCESS; /* Tune NB depending on M, N & NRHS; Set NBNB */ - status = morse_tune(MORSE_FUNC_DPOSV, N, N, 0); - if (status != MORSE_SUCCESS) { - morse_error("MORSE_diag_dpotrf", "morse_tune() failed"); + status = chameleon_tune(CHAMELEON_FUNC_DPOSV, N, N, 0); + if (status != CHAMELEON_SUCCESS) { + chameleon_error("CHAM_diag_dpotrf", "chameleon_tune() failed"); return status; } /* Set NT */ - NB = MORSE_NB; + NB = CHAMELEON_NB; - morse_sequence_create( morse, &sequence ); + chameleon_sequence_create(chamctxt, &sequence); /* Submit the matrix conversion */ - morse_dlap2tile( morse, &descAl, &descAt, MorseDescInout, uplo, - A, NB, NB, LDA, N, N, N, sequence, &request ); + chameleon_dlap2tile(chamctxt, &descAl, &descAt, ChamDescInout, uplo, + A, NB, NB, LDA, N, N, N, sequence, &request); /* Call the tile interface */ - MORSE_dpotrf_diag_Tile_Async(uplo, &descAt, diag_thick, sequence, &request); + CHAM_dpotrf_diag_Tile_Async(uplo, &descAt, diag_thick, sequence, &request); /* Submit the matrix conversion back */ - morse_dtile2lap( morse, &descAl, &descAt, - MorseDescInout, uplo, sequence, &request ); + chameleon_dtile2lap(chamctxt, &descAl, &descAt, + ChamDescInout, uplo, sequence, &request); - morse_sequence_wait( morse, sequence ); + chameleon_sequence_wait(chamctxt, sequence); /* Cleanup the temporary data */ - morse_dtile2lap_cleanup( morse, &descAl, &descAt ); + chameleon_dtile2lap_cleanup(chamctxt, &descAl, &descAt); status = sequence->status; - morse_sequence_destroy( morse, sequence ); + chameleon_sequence_destroy(chamctxt, sequence); return status; @@ -154,9 +158,9 @@ int MORSE_dpotrf_diag(MORSE_enum uplo, int N, * * @ingroup double_Tile * - * MORSE_dpotrf_Tile - Computes the Cholesky factorization of a symmetric positive definite + * CHAMELEON_dpotrf_Tile - Computes the Cholesky factorization of a symmetric positive definite * or Symmetric positive definite matrix. - * Tile equivalent of MORSE_dpotrf(). + * Tile equivalent of CHAM_dpotrf(). * Operates on matrices stored by tiles. * All matrices are passed through descriptors. * All dimensions are taken from the descriptors. @@ -164,12 +168,12 @@ int MORSE_dpotrf_diag(MORSE_enum uplo, int N, ******************************************************************************* * * @param[in] uplo - * = MorseUpper: Upper triangle of A is stored; - * = MorseLower: Lower triangle of A is stored. + * = ChamUpper: Upper triangle of A is stored; + * = ChamLower: Lower triangle of A is stored. * * @param[in] A * On entry, the symmetric positive definite (or Symmetric) matrix A. - * If uplo = MorseUpper, the leading N-by-N upper triangular part of A + * If uplo = ChamUpper, the leading N-by-N upper triangular part of A * contains the upper triangular part of the matrix A, and the strictly lower triangular * part of A is not referenced. * If UPLO = 'L', the leading N-by-N lower triangular part of A contains the lower @@ -181,40 +185,37 @@ int MORSE_dpotrf_diag(MORSE_enum uplo, int N, ******************************************************************************* * * @return - * \retval MORSE_SUCCESS successful exit + * \retval CHAMELEON_SUCCESS successful exit * \retval >0 if i, the leading minor of order i of A is not positive definite, so the * factorization could not be completed, and the solution has not been computed. * ******************************************************************************* * - * @sa MORSE_dpotrf - * @sa MORSE_dpotrf_Tile_Async - * @sa MORSE_cpotrf_Tile - * @sa MORSE_dpotrf_Tile - * @sa MORSE_spotrf_Tile - * @sa MORSE_dpotrs_Tile + * @sa CHAM_dpotrf + * @sa CHAMELEON_dpotrf_Tile_Async + * @sa CHAM_cpotrf_Tile + * @sa CHAMELEON_dpotrf_Tile + * @sa CHAMELEON_spotrf_Tile + * @sa CHAM_dpotrs_Tile * ******************************************************************************/ -int MORSE_dpotrf_diag_Tile(MORSE_enum uplo, MORSE_desc_t *A, int diag_thick) -{ - MORSE_context_t *morse; - MORSE_sequence_t *sequence = NULL; - MORSE_request_t request = MORSE_REQUEST_INITIALIZER; +int CHAM_dpotrf_diag_Tile(CHAM_enum uplo, CHAM_desc_t *A, int diag_thick) { + CHAM_context_t *chamctxt; + RUNTIME_sequence_t *sequence = NULL; + RUNTIME_request_t *request = CHAMELEON_SUCCESS; int status; - morse = morse_context_self(); - if (morse == NULL) { - morse_fatal_error("MORSE_dpotrf_Tile", "MORSE not initialized"); - return MORSE_ERR_NOT_INITIALIZED; + chamctxt = chameleon_context_self(); + if (chamctxt == NULL) { + chameleon_fatal_error("CHAMELEON_dpotrf_Tile", "CHAM not initialized"); + return CHAMELEON_ERR_NOT_INITIALIZED; } - morse_sequence_create(morse, &sequence); - MORSE_dpotrf_diag_Tile_Async(uplo, A, diag_thick, sequence, &request); - MORSE_Desc_Flush( A, sequence ); - morse_sequence_wait(morse, sequence); - // RUNTIME_desc_getoncpu(A); - + chameleon_sequence_create(chamctxt, &sequence); + CHAM_dpotrf_diag_Tile_Async(uplo, A, diag_thick, sequence, &request); + CHAMELEON_Desc_Flush(A, sequence); + chameleon_sequence_wait(chamctxt, sequence); status = sequence->status; - morse_sequence_destroy(morse, sequence); + chameleon_sequence_destroy(chamctxt, sequence); return status; } @@ -222,9 +223,9 @@ int MORSE_dpotrf_diag_Tile(MORSE_enum uplo, MORSE_desc_t *A, int diag_thick) * * @ingroup double_Tile_Async * - * MORSE_dpotrf_Tile_Async - Computes the Cholesky factorization of a symmetric + * CHAMELEON_dpotrf_Tile_Async - Computes the Cholesky factorization of a symmetric * positive definite or Symmetric positive definite matrix. - * Non-blocking equivalent of MORSE_dpotrf_Tile(). + * Non-blocking equivalent of CHAMELEON_dpotrf_Tile(). * May return before the computation is finished. * Allows for pipelining of operations at runtime. * @@ -239,58 +240,53 @@ int MORSE_dpotrf_diag_Tile(MORSE_enum uplo, MORSE_desc_t *A, int diag_thick) * ******************************************************************************* * - * @sa MORSE_dpotrf - * @sa MORSE_dpotrf_Tile - * @sa MORSE_cpotrf_Tile_Async - * @sa MORSE_dpotrf_Tile_Async - * @sa MORSE_spotrf_Tile_Async - * @sa MORSE_dpotrs_Tile_Async + * @sa CHAM_dpotrf + * @sa CHAMELEON_dpotrf_Tile + * @sa CHAM_cpotrf_Tile_Async + * @sa CHAMELEON_dpotrf_Tile_Async + * @sa CHAMELEON_spotrf_Tile_Async + * @sa CHAM_dpotrs_Tile_Async * ******************************************************************************/ -int MORSE_dpotrf_diag_Tile_Async(MORSE_enum uplo, MORSE_desc_t *A, int diag_thick, - MORSE_sequence_t *sequence, MORSE_request_t *request) -{ - MORSE_context_t *morse; +int CHAM_dpotrf_diag_Tile_Async(CHAM_enum uplo, CHAM_desc_t *A, int diag_thick, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request) { + CHAM_context_t *chamctxt; - morse = morse_context_self(); - if (morse == NULL) { - morse_fatal_error("MORSE_dpotrf_Tile_Async", "MORSE not initialized"); - return MORSE_ERR_NOT_INITIALIZED; + chamctxt = chameleon_context_self(); + if (chamctxt == NULL) { + chameleon_fatal_error("CHAMELEON_dpotrf_Tile_Async", "CHAM not initialized"); + return CHAMELEON_ERR_NOT_INITIALIZED; } if (sequence == NULL) { - morse_fatal_error("MORSE_dpotrf_Tile_Async", "NULL sequence"); - return MORSE_ERR_UNALLOCATED; + chameleon_fatal_error("CHAMELEON_dpotrf_Tile_Async", "NULL sequence"); + return CHAMELEON_ERR_UNALLOCATED; } if (request == NULL) { - morse_fatal_error("MORSE_dpotrf_Tile_Async", "NULL request"); - return MORSE_ERR_UNALLOCATED; + chameleon_fatal_error("CHAMELEON_dpotrf_Tile_Async", "NULL request"); + return CHAMELEON_ERR_UNALLOCATED; } /* Check sequence status */ - if (sequence->status == MORSE_SUCCESS) - request->status = MORSE_SUCCESS; + if (sequence->status == CHAMELEON_SUCCESS) + request->status = CHAMELEON_SUCCESS; else - return morse_request_fail(sequence, request, MORSE_ERR_SEQUENCE_FLUSHED); + return chameleon_request_fail(sequence, request, CHAMELEON_ERR_SEQUENCE_FLUSHED); /* Check descriptors for correctness */ - if (morse_desc_check(A) != MORSE_SUCCESS) { - morse_error("MORSE_dpotrf_Tile_Async", "invalid descriptor"); - return morse_request_fail(sequence, request, MORSE_ERR_ILLEGAL_VALUE); + if (chameleon_desc_check(A) != CHAMELEON_SUCCESS) { + chameleon_error("CHAMELEON_dpotrf_Tile_Async", "invalid descriptor"); + return chameleon_request_fail(sequence, request, CHAMELEON_ERR_ILLEGAL_VALUE); } /* Check input arguments */ if (A->nb != A->mb) { - morse_error("MORSE_dpotrf_Tile_Async", "only square tiles supported"); - return morse_request_fail(sequence, request, MORSE_ERR_ILLEGAL_VALUE); + chameleon_error("CHAMELEON_dpotrf_Tile_Async", "only square tiles supported"); + return chameleon_request_fail(sequence, request, CHAMELEON_ERR_ILLEGAL_VALUE); } - if (uplo != MorseUpper && uplo != MorseLower) { - morse_error("MORSE_dpotrf_Tile_Async", "illegal value of uplo"); - return morse_request_fail(sequence, request, -1); + if (uplo != ChamUpper && uplo != ChamLower) { + chameleon_error("CHAMELEON_dpotrf_Tile_Async", "illegal value of uplo"); + return chameleon_request_fail(sequence, request, -1); } /* Quick return */ - /* - if (chameleon_max(N, 0) == 0) - return MORSE_SUCCESS; - */ - morse_pdpotrf_diag(uplo, A, diag_thick, sequence, request); + CHAM_pdpotrf_diag(uplo, A, diag_thick, sequence, request); - return MORSE_SUCCESS; + return CHAMELEON_SUCCESS; } diff --git a/exageostat_approx/src/compute/pdpotrf_diag.c b/exageostat_approx/src/compute/pdpotrf_diag.c index 9ca24ce..579a757 100755 --- a/exageostat_approx/src/compute/pdpotrf_diag.c +++ b/exageostat_approx/src/compute/pdpotrf_diag.c @@ -12,171 +12,172 @@ * * @file pdpotrf_diag.c * - * MORSE auxiliary routines - * MORSE is a software package provided by Univ. of Tennessee, + * CHAM auxiliary routines + * CHAM is a software package provided by Univ. of Tennessee, * Univ. of California Berkeley and Univ. of Colorado Denver * - * @version 1.1.0 + * @version 1.2.0 * @comment This file has been automatically generated - * from Plasma 2.5.0 for MORSE 1.0.0 + * from Plasma 2.5.0 for CHAM 1.0.0 * @author Jakub Kurzak * @author Hatem Ltaief * @author Mathieu Faverge * @author Emmanuel Agullo * @author Cedric Castagnede * @author Florent Pruvost - * @date 2018-11-11 + * @date 2022-11-09 * @generated d Fri Dec 1 14:38:19 2017 * **/ #include "../include/diag.h" -#define A(m,n) A, m, n +#define BLKLDD(A, k) A->get_blkldd( A,k ) +#define A(m, n) A, m, n + /***************************************************************************//** * Parallel tile Cholesky factorization - dynamic scheduling **/ -void morse_pdpotrf_diag(MORSE_enum uplo, MORSE_desc_t *A, int diag_thick, - MORSE_sequence_t *sequence, MORSE_request_t *request) -{ - MORSE_context_t *morse; - MORSE_option_t options; +void CHAM_pdpotrf_diag(CHAM_enum uplo, CHAM_desc_t *A, int diag_thick, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request) { + CHAM_context_t *chamctxt; + RUNTIME_option_t options; int k, m, n; int ldak, ldam, ldan; int tempkm, tempmm, tempnn; - size_t ws_host = 0; + size_t ws_host = 0; - double zone = (double) 1.0; - double mzone = (double)-1.0; + double zone = (double) 1.0; + double mzone = (double) -1.0; - morse = morse_context_self(); - if (sequence->status != MORSE_SUCCESS) + chamctxt = chameleon_context_self(); + if (sequence->status != CHAMELEON_SUCCESS) return; - RUNTIME_options_init(&options, morse, sequence, request); + RUNTIME_options_init(&options, chamctxt, sequence, request); - RUNTIME_options_ws_alloc( &options, 0, ws_host ); + RUNTIME_options_ws_alloc(&options, 0, ws_host); /* - * MorseLower + * ChamLower */ - if (uplo == MorseLower) { + if (uplo == ChamLower) { for (k = 0; k < A->mt; k++) { - RUNTIME_iteration_push(morse, k); + RUNTIME_iteration_push(chamctxt, k); - tempkm = k == A->mt-1 ? A->m-k*A->mb : A->mb; + tempkm = k == A->mt - 1 ? A->m - k * A->mb : A->mb; ldak = BLKLDD(A, k); - options.priority = 2*A->mt - 2*k; - MORSE_TASK_dpotrf( - &options, - MorseLower, tempkm, A->mb, - A(k, k), ldak, A->nb*k); + options.priority = 2 * A->mt - 2 * k; + INSERT_TASK_dpotrf( + &options, + ChamLower, tempkm, A->mb, + A(k, k), A->nb * k); - for (m = k+1; m < A->mt && m < k+diag_thick; m++) { - tempmm = m == A->mt-1 ? A->m-m*A->mb : A->mb; + for (m = k + 1; m < A->mt && m < k + diag_thick; m++) { + tempmm = m == A->mt - 1 ? A->m - m * A->mb : A->mb; ldam = BLKLDD(A, m); - options.priority = 2*A->mt - 2*k - m; - MORSE_TASK_dtrsm( - &options, - MorseRight, MorseLower, MorseTrans, MorseNonUnit, - tempmm, A->mb, A->mb, - zone, A(k, k), ldak, - A(m, k), ldam); + options.priority = 2 * A->mt - 2 * k - m; + INSERT_TASK_dtrsm( + &options, + ChamRight, ChamLower, ChamTrans, ChamNonUnit, + tempmm, A->mb, A->mb, + zone, A(k, k), + A(m, k)); } - RUNTIME_data_flush( sequence, A(k, k) ); + RUNTIME_data_flush(sequence, A(k, k)); - for (n = k+1; n < A->nt && n < k+diag_thick; n++) { - tempnn = n == A->nt-1 ? A->n-n*A->nb : A->nb; + for (n = k + 1; n < A->nt && n < k + diag_thick; n++) { + tempnn = n == A->nt - 1 ? A->n - n * A->nb : A->nb; ldan = BLKLDD(A, n); - options.priority = 2*A->mt - 2*k - n; - MORSE_TASK_dsyrk( - &options, - MorseLower, MorseNoTrans, - tempnn, A->nb, A->mb, - -1.0, A(n, k), ldan, - 1.0, A(n, n), ldan); + options.priority = 2 * A->mt - 2 * k - n; + INSERT_TASK_dsyrk( + &options, + ChamLower, ChamNoTrans, + tempnn, A->nb, A->mb, + -1.0, A(n, k), + 1.0, A(n, n)); - for (m = n+1; m < A->mt && m < n+diag_thick; m++) { - tempmm = m == A->mt-1 ? A->m - m*A->mb : A->mb; + for (m = n + 1; m < A->mt && m < n + diag_thick; m++) { + tempmm = m == A->mt - 1 ? A->m - m * A->mb : A->mb; ldam = BLKLDD(A, m); - options.priority = 2*A->mt - 2*k - n - m; - MORSE_TASK_dgemm( - &options, - MorseNoTrans, MorseTrans, - tempmm, tempnn, A->mb, A->mb, - mzone, A(m, k), ldam, - A(n, k), ldan, - zone, A(m, n), ldam); + options.priority = 2 * A->mt - 2 * k - n - m; + INSERT_TASK_dgemm( + &options, + ChamNoTrans, ChamTrans, + tempmm, tempnn, A->mb, A->mb, + mzone, A(m, k), + A(n, k), + zone, A(m, n)); } - RUNTIME_data_flush( sequence, A(n, k) ); + RUNTIME_data_flush(sequence, A(n, k)); } - RUNTIME_iteration_pop(morse); + RUNTIME_iteration_pop(chamctxt); } } - /* - * MorseUpper - */ + /* + * ChamUpper + */ else { for (k = 0; k < A->nt; k++) { - RUNTIME_iteration_push(morse, k); + RUNTIME_iteration_push(chamctxt, k); - tempkm = k == A->nt-1 ? A->n-k*A->nb : A->nb; + tempkm = k == A->nt - 1 ? A->n - k * A->nb : A->nb; ldak = BLKLDD(A, k); - options.priority = 2*A->nt - 2*k; - MORSE_TASK_dpotrf( - &options, - MorseUpper, - tempkm, A->mb, - A(k, k), ldak, A->nb*k); + options.priority = 2 * A->nt - 2 * k; + INSERT_TASK_dpotrf( + &options, + ChamUpper, + tempkm, A->mb, + A(k, k), A->nb * k); - for (n = k+1; n < A->nt; n++) { - tempnn = n == A->nt-1 ? A->n - n*A->nb : A->nb; + for (n = k + 1; n < A->nt; n++) { + tempnn = n == A->nt - 1 ? A->n - n * A->nb : A->nb; - options.priority = 2*A->nt - 2*k - n; - MORSE_TASK_dtrsm( - &options, - MorseLeft, MorseUpper, MorseTrans, MorseNonUnit, - A->mb, tempnn, A->mb, - zone, A(k, k), ldak, - A(k, n), ldak); + options.priority = 2 * A->nt - 2 * k - n; + INSERT_TASK_dtrsm( + &options, + ChamLeft, ChamUpper, ChamTrans, ChamNonUnit, + A->mb, tempnn, A->mb, + zone, A(k, k), + A(k, n)); } - RUNTIME_data_flush( sequence, A(k, k) ); + RUNTIME_data_flush(sequence, A(k, k)); - for (m = k+1; m < A->mt; m++) { - tempmm = m == A->mt-1 ? A->m - m*A->mb : A->mb; + for (m = k + 1; m < A->mt; m++) { + tempmm = m == A->mt - 1 ? A->m - m * A->mb : A->mb; ldam = BLKLDD(A, m); - options.priority = 2*A->nt - 2*k - m; - MORSE_TASK_dsyrk( - &options, - MorseUpper, MorseTrans, - tempmm, A->mb, A->mb, - -1.0, A(k, m), ldak, - 1.0, A(m, m), ldam); - - for (n = m+1; n < A->nt; n++) { - tempnn = n == A->nt-1 ? A->n-n*A->nb : A->nb; - - options.priority = 2*A->nt - 2*k - n - m; - MORSE_TASK_dgemm( + options.priority = 2 * A->nt - 2 * k - m; + INSERT_TASK_dsyrk( &options, - MorseTrans, MorseNoTrans, - tempmm, tempnn, A->mb, A->mb, - mzone, A(k, m), ldak, - A(k, n), ldak, - zone, A(m, n), ldam); + ChamUpper, ChamTrans, + tempmm, A->mb, A->mb, + -1.0, A(k, m), + 1.0, A(m, m)); + + for (n = m + 1; n < A->nt; n++) { + tempnn = n == A->nt - 1 ? A->n - n * A->nb : A->nb; + + options.priority = 2 * A->nt - 2 * k - n - m; + INSERT_TASK_dgemm( + &options, + ChamTrans, ChamNoTrans, + tempmm, tempnn, A->mb, A->mb, + mzone, A(k, m), + A(k, n), + zone, A(m, n)); } - RUNTIME_data_flush( sequence, A(k, m) ); + RUNTIME_data_flush(sequence, A(k, m)); } - RUNTIME_iteration_pop(morse); + RUNTIME_iteration_pop(chamctxt); } } RUNTIME_options_ws_free(&options); - RUNTIME_options_finalize(&options, morse); + RUNTIME_options_finalize(&options, chamctxt); } diff --git a/exageostat_approx/src/include/MLE_approx.h b/exageostat_approx/src/include/MLE_approx.h index aa09163..5833ed3 100644 --- a/exageostat_approx/src/include/MLE_approx.h +++ b/exageostat_approx/src/include/MLE_approx.h @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,43 +11,48 @@ * * ExaGeoStat approx computation main functions header file. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2018-11-11 + * @date 2022-11-09 * **/ #ifndef _MLE_APPROX_H_ #define _MLE_APPROX_H_ + #include "MLE_misc.h" #include "flat_file.h" + #if defined(EXAGEOSTAT_USE_NETCDF) + #include "nc_file.h" + #endif + #include "starpu_exageostat_approx.h" +void EXAGEOSTAT_MLE_dzvg_diag_Tile(MLE_data *data, double* Nrand, double* initial_theta, + int n, int ts, int log); -void MORSE_MLE_dzvg_diag_Tile (MLE_data *data, double *Nrand, double *initial_theta, - int n, int ts, int log); +void EXAGEOSTAT_MLE_dzvg_diag_Tile_Async(MLE_data *data, double* Nrand, double* initial_theta, + int n, int ts, int log); -void MORSE_MLE_dzvg_diag_Tile_Async (MLE_data *data, double *Nrand, double *initial_theta, - int n, int ts, int log); +double EXAGEOSTAT_dmle_diag_Tile(unsigned n, const double* theta, double* grad, + void *CHAM_data); -double MORSE_dmle_diag_Tile(unsigned n, const double *theta, double *grad, - void *MORSE_data); +double EXAGEOSTAT_dmle_diag_Tile_Async(unsigned n, const double* theta, double* grad, + void *CHAM_data); -double MORSE_dmle_diag_Tile_Async(unsigned n, const double *theta, double *grad, - void *MORSE_data); +double EXAGEOSTAT_dmle_diag_Predict_Tile(MLE_data *CHAM_data, double* theta, int nZmiss, + int nZobs, double* Zobs, double* Zactual, + double* Zmiss, int n); -double MORSE_dmle_diag_Predict_Tile(MLE_data *MORSE_data, double * theta, int nZmiss, - int nZobs, double *Zobs, double *Zactual, - double *Zmiss, int n); +double EXAGEOSTAT_dmle_diag_Predict_Tile_Async(MLE_data *CHAM_data, double* theta, int nZmiss, + int nZobs, int n); -double MORSE_dmle_diag_Predict_Tile_Async(MLE_data *MORSE_data, double *theta, int nZmiss, - int nZobs, int n); +void EXAGEOSTAT_dmle_diag_Call(MLE_data *data, int ncores, int gpus, + int dts, int p_grid, int q_grid, + int N, int nZobs, int nZmiss); -void MORSE_dmle_diag_Call(MLE_data *data, int ncores,int gpus, - int dts, int p_grid, int q_grid, - int N, int nZobs, int nZmiss); -#endif +#endif \ No newline at end of file diff --git a/exageostat_approx/src/include/MLE_lr.h b/exageostat_approx/src/include/MLE_lr.h index 87b2d99..9abe3e2 100644 --- a/exageostat_approx/src/include/MLE_lr.h +++ b/exageostat_approx/src/include/MLE_lr.h @@ -6,56 +6,89 @@ * ExaGeoStat is a software package provided by KAUST, * King Abdullah University of Science and Technology - ECRC * - * @version 1.1.0 + * @version 1.2.0 * @author Sameh Abdulah - * @date 2018-11-11 + * @date 2022-11-09 * **/ #ifndef _MLE_LR_H_ #define _MLE_LR_H_ + #include "MLE_misc.h" #include "flat_file.h" + #if defined(EXAGEOSTAT_USE_NETCDF) - #include "nc_file.h" + +#include "nc_file.h" + #endif + #include "starpu_exageostat_approx.h" #include "starsh-spatial.h" #include "hicma_struct.h" #include "hicma_z.h" -#include "misc/auxcompute_z.h" -#include "misc/auxdescutil.h" +#include "hicma/misc/auxcompute_z.h" +#include "hicma/misc/auxdescutil.h" + + +//Generate Observations Vector (Z) for testing Maximum Likelihood function -- CHAM-sync +int EXAGEOSTAT_TLR_MLE_dzvg_Tile(MLE_data *data, double* Nrand, double* initial_theta, + int n, int dts, int log, + int p_grid, int q_grid); + +//Generate Observations Vector (Z) for testing Maximum Likelihood function -- CHAM-async +int EXAGEOSTAT_TLR_MLE_dzvg_Tile_Async(MLE_data *data, double* Nrand, double* initial_theta, + int n, int dts, int log, + int p_grid, int q_grid); + +//compute MLE function --syn +double EXAGEOSTAT_TLR_dmle_Tile(unsigned n, const double* theta, double* grad, void *data); +//compute MLE function --async + +double EXAGEOSTAT_TLR_dmle_Tile_Async(unsigned n, const double* theta, double* grad, void *data); + +void EXAGEOSTAT_TLR_dmle_Predict_Allocate(MLE_data *CHAM_data, int nZmiss, int nZobs, + int lts, int p_grid, int q_grid, + int mse_flag); + +//Predict missing values base on a set of given values and covariance matrix +double EXAGEOSTAT_TLR_dmle_Predict_Tile(MLE_data *CHAM_data, double* theta, int nZmiss, + int nZobs, double* Zobs, double* Zactual, + double* Zmiss, int n, int lts); +//init EXAGEOSTAT_TLR decriptors + +void EXAGEOSTAT_TLR_dmle_Call(MLE_data *data, int ncores, int gpus, int lts, int p_grid, int q_grid, int N, int nZobs, int nZmiss); + +void EXAGEOSTAT_TLR_MLE_zcpy(MLE_data *data, double* streamdata); -//Generate Observations Vector (Z) for testing Maximum Likelihood function -- MORSE-sync -int HICMA_MLE_dzvg_Tile (MLE_data *data, double * Nrand, double * initial_theta, - int n, int dts, int log, - int p_grid, int q_grid); +//Generate Observations Vector (Z) for testing Maximum Likelihood function -- CHAM-sync +int EXAGEOSTAT_TLR_MLE_dzvg_ng_Tile(MLE_data *data, double* Nrand, double* initial_theta, + int n, int dts, int log, + int p_grid, int q_grid); -//Generate Observations Vector (Z) for testing Maximum Likelihood function -- MORSE-async -int HICMA_MLE_dzvg_Tile_Async (MLE_data *data, double * Nrand, double * initial_theta, - int n, int dts, int log, - int p_grid, int q_grid); +//Generate Observations Vector (Z) for testing Maximum Likelihood function -- CHAM-async +int EXAGEOSTAT_TLR_MLE_dzvg_ng_Tile_Async(MLE_data *data, double* Nrand, double* initial_theta, + int n, int dts, int log, + int p_grid, int q_grid); //compute MLE function --syn -double HICMA_dmle_Tile(unsigned n, const double *theta, double *grad, void *data); +double EXAGEOSTAT_TLR_dmle_ng_Tile(unsigned n, const double* theta, double* grad, void *data); //compute MLE function --async -double HICMA_dmle_Tile_Async(unsigned n, const double *theta, double *grad, void *data); +double EXAGEOSTAT_TLR_dmle_ng_Tile_Async(unsigned n, const double* theta, double* grad, void *data); -void HICMA_dmle_Predict_Allocate(MLE_data *MORSE_data, int nZmiss, int nZobs, - int lts, int p_grid, int q_grid, - int mse_flag); +void EXAGEOSTAT_TLR_dmle_ng_Predict_Allocate(MLE_data *CHAM_data, int nZmiss, int nZobs, + int lts, int p_grid, int q_grid, + int mse_flag); //Predict missing values base on a set of given values and covariance matrix -double HICMA_dmle_Predict_Tile(MLE_data *MORSE_data, double * theta, int nZmiss, - int nZobs, double *Zobs, double *Zactual, - double *Zmiss, int n, int lts); -//init Hicma decriptors +double EXAGEOSTAT_TLR_dmle_ng_Predict_Tile(MLE_data *CHAM_data, double* theta, int nZmiss, + int nZobs, double* Zobs, double* Zactual, + double* Zmiss, int n, int lts); -void HICMA_dmle_Call(MLE_data *data, int ncores, int ts, - int N, int nZobs, int nZmiss, - int gpus, int p_grid, int q_grid); +void EXAGEOSTAT_TLR_dmle_ng_Call(MLE_data *data, int ncores, int gpus, int lts, int p_grid, int q_grid, int N, int nZobs, int nZmiss); -void HICMA_MLE_zcpy( MLE_data *data, double *streamdata); +void EXAGEOSTAT_TLR_MLE_ng_zcpy(MLE_data *data, double* streamdata); #endif diff --git a/exageostat_approx/src/include/MLE_lr_s.h b/exageostat_approx/src/include/MLE_lr_s.h index d8ea311..83350db 100644 --- a/exageostat_approx/src/include/MLE_lr_s.h +++ b/exageostat_approx/src/include/MLE_lr_s.h @@ -1,61 +1,66 @@ - /** - * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology - * All rights reserved. - * ** - * @file MLE.h - * - * - * ExaGeoStat is a software package provided by KAUST, - * - * @version 1.1.0 - * @author Sameh Abdulah - * @date 2016-11-22 - * @generated d Fri Nov 22 15:11:13 2016 - * - **/ +/** + * + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology + * All rights reserved. + * ** + * @file MLE.h + * + * + * ExaGeoStat is a software package provided by KAUST, + * + * @version 1.2.0 + * @author Sameh Abdulah + * @date 2022-11-09 + * @generated d Fri Nov 22 15:11:13 2016 + * + **/ #ifndef _MLE_LR_S_H_ #define _MLE_LR_S_H_ + #include "MLE_misc.h" #include "flat_file.h" + #if defined(EXAGEOSTAT_USE_NETCDF) + #include "nc_file.h" + #endif + #include "starpu_exageostat_approx.h" #include "starsh-spatial.h" #include "hicma_struct.h" -#include "hicma_z.h" -#include "aux/auxcompute_z.h" -#include "aux/auxdescutil.h" +#include "include/hicma_z.h" +#include "misc/auxcompute_z.h" +#include "misc/auxdescutil.h" -//Generate Observations Vector (Z) for testing Maximum Likelihood function -- MORSE-sync -int HICMA_MLE_szvg_Tile (MLE_data *data, double * Nrand, double * initial_theta, - int n, int dts, int log, int p_grid, int q_grid); +//Generate Observations Vector (Z) for testing Maximum Likelihood function -- CHAMELEON-sync +int HICMA_MLE_szvg_Tile(MLE_data *data, double* Nrand, double* initial_theta, + int n, int dts, int log, int p_grid, int q_grid); -//Generate Observations Vector (Z) for testing Maximum Likelihood function -- MORSE-async -int HICMA_MLE_szvg_Tile_Async (MLE_data *data, double * Nrand, double * initial_theta, - int n, int dts, int log, int p_grid, int q_grid); +//Generate Observations Vector (Z) for testing Maximum Likelihood function -- CHAMELEON-async +int HICMA_MLE_szvg_Tile_Async(MLE_data *data, double* Nrand, double* initial_theta, + int n, int dts, int log, int p_grid, int q_grid); //compute MLE function --syn -double HICMA_smle_Tile(unsigned n, const double *theta, double *grad, void *data); +double HICMA_smle_Tile(unsigned n, const double* theta, double* grad, void *data); //compute MLE function --async -double HICMA_smle_Tile_Async(unsigned n, const double *theta, double *grad, void *data); +double HICMA_smle_Tile_Async(unsigned n, const double* theta, double* grad, void *data); -void HICMA_dmle_Predict_Allocate(MLE_data *MORSE_data, int nZmiss, int nZobs, - int lts, int p_grid, int q_grid, int mse_flag); +void EXAGEOSTAT_TLR_dmle_Predict_Allocate(MLE_data *CHAM_data, int nZmiss, int nZobs, + int lts, int p_grid, int q_grid, int mse_flag); //Predict missing values base on a set of given values and covariance matrix -double HICMA_smle_Predict_Tile(MLE_data *MORSE_data, double * theta, int nZmiss, - int nZobs, double *Zobs, double *Zactual, - double *Zmiss, int n, int lts); +double HICMA_smle_Predict_Tile(MLE_data *CHAM_data, double* theta, int nZmiss, + int nZobs, double* Zobs, double* Zactual, + double* Zmiss, int n, int lts); //init Hicma decriptors -void HICMA_smle_Call(MLE_data *data, int ncores, int ts, - int N, int nZobs, int nZmiss, - int gpus, int p_grid, int q_grid); +void HICMA_smle_Call(MLE_data *data, int ncores, int ts, + int N, int nZobs, int nZmiss, + int gpus, int p_grid, int q_grid); -void HICMA_MLE_zcpy( MLE_data *data, double *streamdata); +void EXAGEOSTAT_TLR_MLE_zcpy(MLE_data *data, double* streamdata); #endif diff --git a/exageostat_approx/src/include/diag.h b/exageostat_approx/src/include/diag.h index e39fa69..5ed9653 100644 --- a/exageostat_approx/src/include/diag.h +++ b/exageostat_approx/src/include/diag.h @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,26 +11,27 @@ * * ExaGeoStat approx computation main functions header file. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2018-11-11 + * @date 2022-11-09 * **/ #ifndef _DIAG_H_ #define _DIAG_H_ + #include "common.h" -void morse_pdpotrf_diag(MORSE_enum uplo, MORSE_desc_t *A, int diag_thick, - MORSE_sequence_t *sequence, MORSE_request_t *request); +void CHAM_pdpotrf_diag(CHAM_enum uplo, CHAM_desc_t *A, int diag_thick, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); -int MORSE_dpotrf_diag(MORSE_enum uplo, int N, - double *A, int LDA, int diag_thick); +int CHAM_dpotrf_diag(CHAM_enum uplo, int N, + double* A, int LDA, int diag_thick); -int MORSE_dpotrf_diag_Tile(MORSE_enum uplo, MORSE_desc_t *A, int diag_thick); +int CHAM_dpotrf_diag_Tile(CHAM_enum uplo, CHAM_desc_t *A, int diag_thick); -int MORSE_dpotrf_diag_Tile_Async(MORSE_enum uplo, MORSE_desc_t *A, int diag_thick, - MORSE_sequence_t *sequence, MORSE_request_t *request); +int CHAM_dpotrf_diag_Tile_Async(CHAM_enum uplo, CHAM_desc_t *A, int diag_thick, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); #endif diff --git a/exageostat_exact/core/compute/core_zcmg.c b/exageostat_exact/core/compute/core_zcmg.c deleted file mode 100644 index 69e4069..0000000 --- a/exageostat_exact/core/compute/core_zcmg.c +++ /dev/null @@ -1,920 +0,0 @@ -/** - * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology - * All rights reserved. - * - * ExaGeoStat is a software package provided by KAUST - **/ -/** - * - * @file core_dcmg.c - * - * Generate covariance matrix of a set of locations in 2D using Matern kernel. - * - * @version 1.1.0 - * @author Mary Lai Salvana - * @author Sameh Abdulah - * @date 2020-03-29 - * - **/ -#include "../include/exageostatcore.h" - -// This function converts decimal degrees to radians -static double deg2rad(double deg) { - return (deg * PI / 180); -} -// This function converts radians to decimal degrees -static double rad2deg(double rad) { - return (rad * 180 / PI); -} -/** - * Returns the distance between two points on the Earth. - * Direct translation from http://en.wikipedia.org/wiki/Haversine_formula - * @param lat1d Latitude of the first point in degrees - * @param lon1d Longitude of the first point in degrees - * @param lat2d Latitude of the second point in degrees - * @param lon2d Longitude of the second point in degrees - * @return The distance between the two points in kilometers - */ -static double distanceEarth(double lat1d, double lon1d, double lat2d, double lon2d) { - double lat1r, lon1r, lat2r, lon2r, u, v; - lat1r = deg2rad(lat1d); - lon1r = deg2rad(lon1d); - lat2r = deg2rad(lat2d); - lon2r = deg2rad(lon2d); - u = sin((lat2r - lat1r)/2); - v = sin((lon2r - lon1r)/2); - return 2.0 * earthRadiusKm * asin(sqrt(u * u + cos(lat1r) * cos(lat2r) * v * v)); -} - -static double calculateDistance( location* l1, location* l2, int l1_index, - int l2_index, int distance_metric, int z_flag) { - - double z1, z2; - double x1=l1->x[l1_index]; - double y1=l1->y[l1_index]; - double x2=l2->x[l2_index]; - double y2=l2->y[l2_index]; - if(l1->z == NULL || l2->z == NULL || z_flag == 1) - { - if(distance_metric == 1) - return distanceEarth(x1, y1, x2, y2); - return sqrt(pow((x2 - x1), 2) + pow((y2 - y1), 2)); - } - else - { - if(distance_metric == 1) - { - printf("Great Circle (GC) distance is only valid for 2d\n"); - exit(0); - } - z1 = l1->z[l1_index]; - z2 = l2->z[l2_index]; - return sqrt(pow((x2 - x1), 2) + pow((y2 - y1), 2) + pow((z2 - z1), 2)); - } -} - -/* - static double calculateDistance3d(double x1, double y1, double z1, - double x2, double y2, double z2, int distance_metric) { - - if(distance_metric == 1) - { - printf("Great Circle (GC) distance is only valid for 2d\n"); - exit(0); - } - return sqrt(pow((x2 - x1), 2) + pow((y2 - y1), 2) + pow((z2 - z1), 2)); - } - */ -/***************************************************************************//** - * - * core_dcmg - Generate covariance matrix A in dense format between two sets of locations (l1, l2) (Matern Kernel). - * The routine makes only one pass through the tile A. - * One tile operation. - ******************************************************************************* - * - * @param[out] A - * The m-by-n matrix on which to compute the covariance matrix. - * - * @param[in] m - * The number of rows in the tile A. - * - * @param[in] n - * The number of cols in the tile A. - * - * @param[in] m0 - * Global row index of the tile A. - * - * @param[in] n0 - * Global col index of the tile A. - * - * @param[in] l1 - * Location struct of the first input. - * - * @param[in] l2 - * Location struct of the second input. - * - * @param[in] localtheta - * Parameter vector that is used to generate the output covariance matrix. - * - * @param[in] distance_metric - * Distance metric "euclidean Distance (ED) ->0" or "Great Circle Distance (GCD) ->1" - * - ******************************************************************************* - * - * - ******************************************************************************/ -void core_dcmg (double *A, int m, int n, - int m0, int n0, location *l1, - location *l2, double *localtheta, int distance_metric) { - - int i, j; - int i0 = m0; - int j0 = n0; - double x0, y0, z0; - double expr = 0.0; - double con = 0.0; - double sigma_square = localtheta[0];// * localtheta[0]; - - con = pow(2,(localtheta[2]-1)) * tgamma(localtheta[2]); - con = 1.0/con; - con = sigma_square * con; - - for (i = 0; i < m; i++) { - j0 = n0; - for (j = 0; j < n; j++) { - expr = calculateDistance(l1, l2, i0, j0, distance_metric, 0)/localtheta[1]; - if(expr == 0) - A[i + j * m] = sigma_square /*+ 1e-4*/; - else - A[i + j * m] = con*pow(expr, localtheta[2]) - * gsl_sf_bessel_Knu(localtheta[2],expr); // Matern Function - j0++; - } - i0++; - } - -} - - -/***************************************************************************//** - * - * core_scmg - Calculate covariance matrix A - single precision. - * The routine makes only one pass through the tile A. - * One tile operation. - ******************************************************************************* - * - * @param[out] A - * The m-by-n matrix on which to compute the covariance matrix. - * - * @param[in] m - * The number of rows in the tile A. - * - * @param[in] n - * The number of cols in the tile A. - * - * @param[in] m0 - * global row index of the tile A. - * - * @param[in] n0 - * global col index of the tile A. - * - * @param[in] l1 - * location struct of the first input. - * - * @param[in] l2 - * location struct of the second input. - * - * @param[in] localtheta - * parameter vector that should be used to generate the output covariance matrix - * - * @param[in] distance_metric - * distance metric "euclidean Distance (ED"" or "Great Circle Distance (GCD)" - * - ******************************************************************************* - * - * - ******************************************************************************/ -void core_scmg (float *A, int m, int n, - int m0, int n0, location *l1, - location *l2, double *localtheta, int distance_metric) { - - int i, j; - int i0 = m0; - int j0 = n0; - float x0, y0, z0; - float expr = 0.0; - float con = 0.0; - float sigma_square = localtheta[0];// * localtheta[0]; - - con = pow(2,(localtheta[2]-1)) * tgamma(localtheta[2]); - con = 1.0/con; - con = sigma_square * con; - - - for (i = 0; i < m; i++) { - j0 = n0; - for (j = 0; j < n; j++) { - expr = calculateDistance(l1, l2, i0, j0, distance_metric, 0) / localtheta[1]; - if(expr == 0) - A[i + j * m] = sigma_square /*+ 1e-4*/; - else - A[i + j * m] = con*pow(expr, localtheta[2]) - * gsl_sf_bessel_Knu(localtheta[2],expr); // Matern Function - j0++; - } - i0++; - } -} - - - - - - - -void core_sdcmg (double *A, int m, int n, - int m0, int n0, location *l1, - location *l2, double *localtheta, int distance_metric) { - - int i, j; - int i0 = m0; - int j0 = n0; - double x0, y0, z0; - double expr = 0.0; - double con = 0.0; - double sigma_square = localtheta[0];// * localtheta[0]; - - con = pow(2,(localtheta[2]-1)) * tgamma(localtheta[2]); - con = 1.0/con; - con = sigma_square * con; - - - for (i = 0; i < m; i++) { - j0 = n0; - for (j = 0; j < n; j++) { - expr = calculateDistance(l1, l2, i0, j0, distance_metric, 0)/localtheta[1]; - if(expr == 0) - A[i + j * m] = (float)(sigma_square /*+ 1e-4*/); - else - A[i + j * m] = (float)(con*pow(expr, localtheta[2]) - * gsl_sf_bessel_Knu(localtheta[2],expr)); // Matern Function - j0++; - } - i0++; - } - -} - - - - -/***************************************************************************//** - * - * core_dcmg_spacetime_matern - Generate covariance matrix A in dense format between two sets of locations (l1, l2) (Matern Kernel). - * The routine makes only one pass through the tile A. - * One tile operation. - ******************************************************************************* - * - * @param[out] A - * The m-by-n matrix on which to compute the covariance matrix. - * - * @param[in] m - * The number of rows in the tile A. - * - * @param[in] n - * The number of cols in the tile A. - * - * @param[in] m0 - * Global row index of the tile A. - * - * @param[in] n0 - * Global col index of the tile A. - * - * @param[in] l1 - * Location struct of the first input. - * - * @param[in] l2 - * Location struct of the second input. - * - * @param[in] localtheta - * Parameter vector that is used to generate the output covariance matrix. - * - * @param[in] distance_metric - * Distance metric "euclidean Distance (ED) ->0" or "Great Circle Distance (GCD) ->1" - * - ******************************************************************************* - * - * - ******************************************************************************/ -void core_dcmg_spacetime_matern (double *A, int m, int n, - int m0, int n0, location *l1, - location *l2, double *localtheta, int distance_metric) { - - int i, j; - int i0 = m0; - int j0 = n0; - double x0, y0, z0, z1; - double expr = 0.0, expr1 = 0.0, expr2 = 0.0, expr3 = 0.0, expr4 = 0.0; - double con = 0.0; - double sigma_square = localtheta[0];// * localtheta[0]; - - con = pow(2,(localtheta[2]-1)) * tgamma(localtheta[2]); - con = 1.0/con; - con = sigma_square * con; - - for (i = 0; i < m; i++) { - j0 = n0; - z0 = l1->z[i0]; - for (j = 0; j < n; j++) { - z1 = l2->z[j0]; - expr = calculateDistance(l1, l2, i0, j0, distance_metric, 1)/localtheta[1]; - expr2 = pow(pow(sqrt(pow(z0 - z1, 2)), 2 * localtheta[4])/localtheta[3] + 1, localtheta[5] / 2); - expr3 = expr / expr2; - expr4 = pow(pow(sqrt(pow(z0 - z1, 2)), 2 * localtheta[4]) / localtheta[3] + 1, localtheta[5] + localtheta[6]); - - if(expr == 0) - A[i + j * m] = sigma_square / expr4 /*+ 1e-4*/; - else - A[i + j * m] = con*pow(expr3, localtheta[2]) - * gsl_sf_bessel_Knu(localtheta[2],expr3) / expr4; // Matern Function - //printf("%f,%f,%f,%f,%f\n", calculateDistance(l1, l2, i0, j0, distance_metric, 1), z0, z1, sqrt(pow(z0 - z1, 2)), A[i + j * m]); - j0++; - } - i0++; - } - -} - - -/***************************************************************************//** - * - * core_dcmg_bivariate_flexible - Generate covariance matrix A in dense format between two sets of locations (l1, l2) (Flexible Bivariate Matern Kernel). - * The routine makes only one pass through the tile A. - * One tile operation. - ******************************************************************************* - * - * @param[out] A - * The m-by-n matrix on which to compute the covariance matrix. - * - * @param[in] m - * The number of rows in the tile A. - * - * @param[in] n - * The number of cols in the tile A. - * - * @param[in] m0 - * Global row index of the tile A. - * - * @param[in] n0 - * Global col index of the tile A. - * - * @param[in] l1 - * Location struct of the first input. - * - * @param[in] l2 - * Location struct of the second input. - * - * @param[in] localtheta - * Parameter vector that is used to generate the output covariance matrix. - * - * localtheta[0] is the variance of Z1. - * localtheta[1] is the variance of Z2. - * localtheta[2] is the scale of Z1. - * localtheta[3] is the scale of Z2. - * localtheta[4] is the first latent scale parameter for the cross of Z1 and Z2. - * localtheta[5] is the second latent scale parameter for the cross of Z1 and Z2. - * localtheta[6] is the smoothness of Z1. - * localtheta[7] is the smoothness of Z2. - * localtheta[8] is the first latent smoothness parameter for the cross of Z1 and Z2. - * localtheta[9] is the second latent smoothness parameter for the cross of Z1 and Z2. - * localtheta[10] is the first latent variance parameter for the cross of Z1 and Z2. - * localtheta[11] is the second latent variance parameter for the cross of Z1 and Z2. - * localtheta[12] is the third latent variance parameter for the cross of Z1 and Z2. - * - * @param[in] distance_metric - * Distance metric "euclidean Distance (ED) ->0" or "Great Circle Distance (GCD) ->1" - * - ******************************************************************************* - * - * - ******************************************************************************/ - -void core_dcmg_bivariate_flexible (double *A, int m, int n, - int m0, int n0, location *l1, - location *l2, double *localtheta, int distance_metric) { - - int i, j; - int i0 = m0; - int j0 = n0; - double x0, y0; - double expr1 = 0.0, expr2 = 0.0, expr12 = 0.0; - double con1 = 0.0, con2 = 0.0, con12 = 0.0, scale12 = 0.0, rho = 0.0, nu12 = 0.0; - double scale1 = localtheta[0], scale2 = localtheta[1], nu1 = localtheta[4], nu2 = localtheta[5]; - - scale12 = pow(0.5 * (pow(scale1, -2) + pow(scale2, -2)) + localtheta[2] * (1 - localtheta[3]), -0.5) ; - - nu12 = 0.5 * (nu1 + nu2) + localtheta[6] * (1 - localtheta[7]) ; - - rho = localtheta[8] * localtheta[9] * localtheta[10] * - pow(scale12, 2 * localtheta[6] + (nu1 + nu2)) - * tgamma(0.5 * (nu1 + nu2) + 1) * tgamma(nu12) / tgamma(nu12 + 1); - - localtheta[0] = localtheta[8] * localtheta[8] * - pow(scale1, 2*localtheta[6] + nu1 + nu1) * tgamma(nu1); - - localtheta[1] = localtheta[9] * localtheta[9] * - pow(scale2, 2*localtheta[6] + nu2 + nu2) * tgamma(nu2); - - con1 = pow(2,(nu1-1)) * tgamma(nu1); - con1 = 1.0/con1; - con1 = localtheta[0] * con1; - - con2 = pow(2,(nu2-1)) * tgamma(nu2); - con2 = 1.0/con2; - con2 = localtheta[1] * con2; - - con12 = pow(2,(nu12-1)) * tgamma(nu12); - con12 = 1.0/con12; - con12 = rho * con12; - - i0/=2; - for (i = 0; i < m; i+=2) { - j0 = n0/2; - for (j = 0; j < n; j+=2) { - expr1 = calculateDistance(l1, l2, i0, j0, distance_metric, 0)/scale1; - expr2 = calculateDistance(l1, l2, i0, j0, distance_metric, 0)/scale2; - expr12 = calculateDistance(l1, l2, i0, j0, distance_metric, 0)/scale12; - - if(expr1 == 0){ - A[i + j * m] = localtheta[0] ; - A[(i + 1) + j * m] = A[i + (j + 1) * m] = rho; - A[(i + 1) + (j + 1) * m] = localtheta[1] ; - } - else{ - A[i + j * m] = con1 * pow(expr1, nu1) - * gsl_sf_bessel_Knu(nu1, expr1); - A[(i + 1) + j * m] = A[i + (j + 1) * m] = con12 - * pow(expr12, nu12) * gsl_sf_bessel_Knu(nu12, expr12); - A[(i + 1) + (j + 1) * m] = con2 * pow(expr2, nu2) - * gsl_sf_bessel_Knu(nu2, expr2); - } - j0++; - } - i0++; - } -} - - - -/***************************************************************************//** - * - * core_dcmg_bivariate_parsimonious - Generate covariance matrix A in dense format between two sets of locations (l1, l2) (Parsimonious Bivariate Matern Kernel). - * The routine makes only one pass through the tile A. - * One tile operation. - ******************************************************************************* - * - * @param[out] A - * The m-by-n matrix on which to compute the covariance matrix. - * - * @param[in] m - * The number of rows in the tile A. - * - * @param[in] n - * The number of cols in the tile A. - * - * @param[in] m0 - * Global row index of the tile A. - * - * @param[in] n0 - * Global col index of the tile A. - * - * @param[in] l1 - * Location struct of the first input. - * - * @param[in] l2 - * Location struct of the second input. - * - * @param[in] localtheta - * Parameter vector that is used to generate the output covariance matrix. - * - * localtheta[0] is the variance of Z1. - * localtheta[1] is the variance of Z2. - * localtheta[2] is the common scale parameter for Z1 and Z2. - * localtheta[3] is the smoothness of Z1. - * localtheta[4] is the smoothness of Z2. - * localtheta[5] is the correlation parameter of Z1 and Z2. - * - * @param[in] distance_metric - * Distance metric "euclidean Distance (ED) ->0" or "Great Circle Distance (GCD) ->1" - * - ******************************************************************************* - * - * - ******************************************************************************/ -void core_dcmg_bivariate_parsimonious (double *A, int m, int n, - int m0, int n0, location *l1, - location *l2, double *localtheta, int distance_metric) { - - int i, j; - int i0 = m0; - int j0 = n0; - double x0, y0; - double expr = 0.0; - double con1 = 0.0, con2 = 0.0, con12 = 0.0, rho = 0.0, nu12 = 0.0; - // double localtheta[0] = localtheta[0], localtheta[1] = localtheta[1]; - - con1 = pow(2,(localtheta[3]-1)) * tgamma(localtheta[3]); - con1 = 1.0/con1; - con1 = localtheta[0] * con1; - - con2 = pow(2,(localtheta[4]-1)) * tgamma(localtheta[4]); - con2 = 1.0/con2; - con2 = localtheta[1] * con2; - - //The average - nu12 = 0.5 * (localtheta[3] + localtheta[4]); - - rho = localtheta[5] * sqrt( (tgamma(localtheta[3] + 1)*tgamma(localtheta[4] + 1)) / - (tgamma(localtheta[3]) * tgamma(localtheta[4])) ) * - tgamma(nu12) / tgamma(nu12 + 1); - - - - con12 = pow(2,(nu12-1)) * tgamma(nu12); - con12 = 1.0/con12; - con12 = rho * sqrt(localtheta[0] * localtheta[1]) * con12; - - i0/=2; - for (i = 0; i < m-1; i+=2) { - j0 = n0/2; - for (j = 0; j < n-1; j+=2) { - expr = calculateDistance(l1, l2, i0, j0, distance_metric, 0)/localtheta[2]; - - if(expr == 0){ - A[i + j * m] = localtheta[0] ; - A[(i + 1) + j * m] = A[i + (j + 1) * m] = rho - * sqrt(localtheta[0] * localtheta[1]) ; - A[(i + 1) + (j + 1) * m] = localtheta[1] ; - } - else{ - A[i + j * m] = con1 * pow(expr, localtheta[3]) - * gsl_sf_bessel_Knu(localtheta[3], expr); - A[(i + 1) + j * m] = A[i + (j + 1) * m] = con12 * pow(expr, nu12) - * gsl_sf_bessel_Knu(nu12, expr); - A[(i + 1) + (j + 1) * m] = con2 * pow(expr, localtheta[4]) - * gsl_sf_bessel_Knu(localtheta[4], expr); - } - // printf ("===%d, %d, %d, %d (%f)\n" , i, j, i0, j0, expr); - j0++; - } - i0++; - } -} - -/* - void core_dcmg_bivariate_parsimonious2(double *A, int m, int n, int m0, int n0, location *l1, location *l2, double *localtheta, int distance_metric, int size) { - int i, j; - int i0 = m0; - int j0 = n0; - double x0, y0; - double expr = 0.0; - double con = 0.0; double con1 = 0.0, con2 = 0.0, con12 = 0.0, rho = 0.0, nu12 = 0.0; - double sigma_square = 0.0; double nu = 0.0; - double localtheta[0]2 = 0.0; - double localtheta[0] = localtheta[0]; - double localtheta[1] = localtheta[1]; - double beta = localtheta[2]; - double nu1 = localtheta[3]; - double nu2 = localtheta[4]; - double a = localtheta[5]; - con1 = pow(2,(localtheta[3]-1)) * tgamma(localtheta[3]); - con1 = 1.0/con1; - con1 = localtheta[0] * con1; - con2 = pow(2,(localtheta[4]-1)) * tgamma(localtheta[4]); - con2 = 1.0/con2; - con2 = localtheta[1] * con2; -//The average -nu12 = 0.5 * (localtheta[3] + localtheta[4]); -rho = localtheta[5] * sqrt( (tgamma(localtheta[3] + 1)*tgamma(localtheta[4] + 1)) / -(tgamma(localtheta[3]) * tgamma(localtheta[4])) ) * -tgamma(nu12) / tgamma(nu12 + 1); -con12 = pow(2,(nu12-1)) * tgamma(nu12); -con12 = 1.0/con12; -con12 = rho * sqrt(localtheta[0] * localtheta[1]) * con12; -if(i0=size/2 && j0>=size/2) -{ -sigma_square = localtheta[1]; -nu = nu2; -con=con2; -} -else -{ -nu12 = 0.5 * (nu1 + nu2); -rho = a * sqrt( (tgamma(nu1 + 1)*tgamma(nu2 + 1)) / -(tgamma(nu1) * tgamma(nu2)) ) * -tgamma(nu12) / tgamma(nu12 + 1); -localtheta[0]2 = rho * sqrt(localtheta[0]*localtheta[1]) ; -sigma_square = localtheta[0]2; -nu = nu12; -con =con12; -} -for (i = 0; i < m; i++) { -j0 = n0; -if(j0>=size/2) -j0-=size/2; -if(i0 >=size/2) -i0-=size/2; -x0 = l1->x[i0]; -y0 = l1->y[i0]; -for (j = 0; j < n; j++) { -expr = calculateDistance(x0, y0, l2->x[j0], l2->y[j0], distance_metric)/beta; -if(expr == 0) -if (i+m0>=size/2.0 && j+n0>=size/2.0) -A[i + j * m] = localtheta[1] ; -else if (i+m0=size/2.0 && j+n0>=size/2.0) - A[i + j * m] = con2*pow(expr, nu2)*gsl_sf_bessel_Knu(nu2,expr); // Matern Function - else if (i+m00" or "Great Circle Distance (GCD) ->1" - * - ******************************************************************************* - * - * - ******************************************************************************/ -void core_dcmg_pow_exp (double *A, int m, int n, - int m0, int n0, - location *l1, location *l2, - double *localtheta, int distance_metric) { - - //Matern kernel - //localtheta[0] --> variance (sigma), - //localtheta[1] --> range(beta) - //localtheta[2] --> smoothness (nu) - - //Power exp kernel - //localtheta[0] --> variance (sigma), - //localtheta[1] --> range(beta) - //localtheta[2] --> range(delta) 0 < delta< 2 - int i, j; - int i0 = m0; - int j0 = n0; - double x0, y0, z0; - double expr = 0.0; - double expr1 = 0.0; - double sigma_square = localtheta[0];// * localtheta[0]; - - for (i = 0; i < m; i++) { - j0 = n0; - for (j = 0; j < n; j++) { - expr = calculateDistance(l1, l2, i0, j0, distance_metric, 0); - expr1 = pow(expr, localtheta[2]); - - - if(expr == 0) - A[i + j * m] = sigma_square /*+ 1e-4*/; - else - A[i + j * m] = sigma_square * exp(-(expr1/localtheta[1])) ; // power-exp kernel - j0++; - } - i0++; - } -} - - - -/***************************************************************************//** - * - * core_scmg_pow_exp - Calculate covariance matrix A - single precision. - * The routine makes only one pass through the tile A. - * One tile operation. - ******************************************************************************* - * - * @param[out] A - * The m-by-n matrix on which to compute the covariance matrix. - * - * @param[in] m - * The number of rows in the tile A. - * - * @param[in] n - * The number of cols in the tile A. - * - * @param[in] m0 - * global row index of the tile A. - * - * @param[in] n0 - * global col index of the tile A. - * - * @param[in] l1 - * location struct of the first input. - * - * @param[in] l2 - * location struct of the second input. - * - * @param[in] localtheta - * parameter vector that should be used to generate the output covariance matrix - * - * @param[in] distance_metric - * distance metric "euclidean Distance (ED"" or "Great Circle Distance (GCD)" - * - ******************************************************************************* - * - * - ******************************************************************************/ -void core_scmg_pow_exp (float *A, int m, int n, - int m0, int n0, - location *l1, location *l2, - double *localtheta, int distance_metric) { - - int i, j; - int i0 = m0; - int j0 = n0; - float x0, y0, z0; - float expr = 0.0; - float expr1 = 0.0; - float sigma_square = localtheta[0];// * localtheta[0]; - - - for (i = 0; i < m; i++) { - j0 = n0; - for (j = 0; j < n; j++) { - expr = calculateDistance(l1, l2, - i0, j0, distance_metric, 0); - expr1 = pow(expr, localtheta[2]); - if(expr == 0) - A[i + j * m] = sigma_square /*+ 1e-4*/; - else - A[i + j * m] = sigma_square * exp(-(expr1/localtheta[1])) ; // power-exp kernel - j0++; - } - i0++; - } - -} - - -/***************************************************************************//** - * - * core_sdcmg_pow_exp - Calculate covariance matrix A - single precision. - * The routine makes only one pass through the tile A. - * One tile operation. - ******************************************************************************* - * - * @param[out] A - * The m-by-n matrix on which to compute the covariance matrix. - * - * @param[in] m - * The number of rows in the tile A. - * - * @param[in] n - * The number of cols in the tile A. - * - * @param[in] m0 - * global row index of the tile A. - * - * @param[in] n0 - * global col index of the tile A. - * - * @param[in] l1 - * location struct of the first input. - * - * @param[in] l2 - * location struct of the second input. - * - * @param[in] localtheta - * parameter vector that should be used to generate the output covariance matrix - * - * @param[in] distance_metric - * distance metric "euclidean Distance (ED"" or "Great Circle Distance (GCD)" - * - ******************************************************************************* - * - * - ******************************************************************************/ - -void core_sdcmg_pow_exp (double *A, int m, int n, - int m0, int n0, - location *l1, location *l2, - double *localtheta, int distance_metric) { - - int i, j; - int i0 = m0; - int j0 = n0; - double x0, y0, z0; - double expr = 0.0; - double expr1 = 0.0; - double sigma_square = localtheta[0];// * localtheta[0]; - - for (i = 0; i < m; i++) { - j0 = n0; - for (j = 0; j < n; j++) { - expr = calculateDistance(l1, l2, i0, j0, distance_metric, 0); - expr1 = pow(expr, localtheta[2]); - if(expr == 0) - A[i + j * m] = (float)(sigma_square /*+ 1e-4*/); - else - A[i + j * m] = (float)(sigma_square * exp(-(expr1/localtheta[1]))); // power-exp kernel - j0++; - } - i0++; - } -} - - -/******************/ -//void core_dcmg_deformation (double *A, int m, int n, -// int m0, int n0, location *l1, -// location *l2, double *localtheta, int distance_metric) { - -// int i, j; -// int i0 = m0; -// int j0 = n0; -// double x0, y0, x1, y1, deform_x0, deform_x1, deform_y0, deform_y1; -// double expr = 0.0; -// double con = 0.0; -// double sigma_square = localtheta[0], pt_src1 = localtheta[3], pt_src2 = localtheta[4];// * localtheta[0]; - -// con = pow(2,(localtheta[2]-1)) * tgamma(localtheta[2]); -// con = 1.0/con; -// con = sigma_square * con; - -// for (i = 0; i < m; i++) { -// j0 = n0; -// x0 = l1->x[i0]; -// y0 = l1->y[i0]; -// deform_x0 = pt_src1 + (x0 - pt_src1) * calculateDistance(x0, y0, pt_src1, pt_src2, distance_metric); -// deform_y0 = pt_src2 + (y0 - pt_src2) * calculateDistance(x0, y0, pt_src1, pt_src2, distance_metric); - -// for (j = 0; j < n; j++) { - -// x1 = l1->x[j0]; -// y1 = l1->y[j0]; - -// deform_x1 = pt_src1 + (x1 - pt_src1) * calculateDistance(x1, y1, pt_src1, pt_src2, distance_metric); -// deform_y1 = pt_src2 + (y1 - pt_src2) * calculateDistance(x1, y1, pt_src1, pt_src2, distance_metric); -// expr = calculateDistance(deform_x0, deform_y0, deform_x1, deform_y1, distance_metric)/localtheta[1]; - -// if(expr == 0) -// A[i + j * m] = sigma_square /*+ 1e-4*/; -// else -// A[i + j * m] = con*pow(expr, localtheta[2])*gsl_sf_bessel_Knu(localtheta[2],expr); // Matern Function -// j0++; -// } -// i0++; -// } -//} -//*/ diff --git a/exageostat_exact/core/compute/core_zcmg_non_stat.c b/exageostat_exact/core/compute/core_zcmg_non_stat.c deleted file mode 100644 index 74a53d6..0000000 --- a/exageostat_exact/core/compute/core_zcmg_non_stat.c +++ /dev/null @@ -1,233 +0,0 @@ -/** - * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology - * All rights reserved. - * - * ExaGeoStat is a software package provided by KAUST - **/ -/** - * - * @file core_dcmg.c - * - * Generate covariance matrix of a set of locations in 2D using first order non-statinary Matern kernel. - * - * @version 1.1.0 - * - * @author Sameh Abdulah - * @date 2019-05-22 - * - **/ -#include "../include/exageostatcore.h" - -// This function converts decimal degrees to radians -static double deg2rad(double deg) { - return (deg * PI / 180); -} -// This function converts radians to decimal degrees -static double rad2deg(double rad) { - return (rad * 180 / PI); -} -/** - * Returns the distance between two points on the Earth. - * Direct translation from http://en.wikipedia.org/wiki/Haversine_formula - * @param lat1d Latitude of the first point in degrees - * @param lon1d Longitude of the first point in degrees - * @param lat2d Latitude of the second point in degrees - * @param lon2d Longitude of the second point in degrees - * @return The distance between the two points in kilometers - */ -static double distanceEarth(double lat1d, double lon1d, double lat2d, double lon2d) { - double lat1r, lon1r, lat2r, lon2r, u, v; - lat1r = deg2rad(lat1d); - lon1r = deg2rad(lon1d); - lat2r = deg2rad(lat2d); - lon2r = deg2rad(lon2d); - u = sin((lat2r - lat1r)/2); - v = sin((lon2r - lon1r)/2); - return 2.0 * earthRadiusKm * asin(sqrt(u * u + cos(lat1r) * cos(lat2r) * v * v)); -} - -static double calculateDistance(double x1, double y1, double x2, double y2, int distance_metric) { - - if(distance_metric == 1) - return distanceEarth(x1, y1, x2, y2); - return sqrt(pow((x2 - x1), 2) + pow((y2 - y1), 2)); -} - -/***************************************************************************//** - * - * core_dcmg - Generate covariance matrix A in dense format between two sets of locations (l1, l2) (Matern Kernel). - * The routine makes only one pass through the tile A. - * One tile operation. - ******************************************************************************* - * - * @param[out] A - * The m-by-n matrix on which to compute the covariance matrix. - * - * @param[in] m - * The number of rows in the tile A. - * - * @param[in] n - * The number of cols in the tile A. - * - * @param[in] m0 - * Global row index of the tile A. - * - * @param[in] n0 - * Global col index of the tile A. - * - * @param[in] l1 - * Location struct of the first input. - * - * @param[in] l2 - * Location struct of the second input. - * - * @param[in] localtheta - * Parameter vector that is used to generate the output covariance matrix. - * - * @param[in] distance_metric - * Distance metric "euclidean Distance (ED) ->0" or "Great Circle Distance (GCD) ->1" - * - ******************************************************************************* - * - * - ******************************************************************************/ -void core_dcmg_nono_stat(double *A, int m, int n, int m0, int n0, location *l1, location *l2, location *lm, double *localtheta, int distance_metric) { - - int i, j; - double l1x, l1y, l2x, l2y, lmx, lmy; - double theta_0i, theta_0j, theta_1i, theta_1j, theta_2i, theta_2j; - double diffx, diffy; - double expr = 0.0; - double con, sigma_square, beta, nu; - - //printf(" The central point is ( %f, %f)\n", lm->x[0], lm->y[0]); - - for (j = 0; j < n; j++) { - l1x = l1->x[j+n0]; - l1y = l1->y[j+n0]; - diffx = abs(l1x -lmx); - diffy = abs(l1y -lmy); - theta_0i = localtheta[0] + (localtheta[1] * diffx) + (localtheta[2] * diffy); - theta_1i = localtheta[3] + (localtheta[4] * diffx) + (localtheta[5] * diffy); - theta_2i = localtheta[6] + (localtheta[7] * diffx) + (localtheta[8] * diffy); - - for (i = 0; i < m; i++) { - l2x = l2->x[i+m0]; - l2y = l2->y[i+m0]; - diffx = abs(l2x -lmx); - diffy = abs(l2y -lmy); - theta_0j = localtheta[0] + (localtheta[1] * diffx) + (localtheta[2] * diffy); - theta_1j = localtheta[3] + (localtheta[4] * diffx) + (localtheta[5] * diffy); - theta_2j = localtheta[6] + (localtheta[7] * diffx) + (localtheta[8] * diffy); - sigma_square = (theta_0i + theta_0j)/2; - beta = (theta_1i + theta_1j)/2; - nu = (theta_2i + theta_2j)/2; - con = pow(2, (nu-1)) * tgamma(nu); - con = 1.0/con; - con = sigma_square * con; - //MLE calculation - expr = calculateDistance(l1x, l1y, l2x, l2y, distance_metric)/beta; - if(expr == 0) - A[i + j * m] = sigma_square; /* + 1e-4*/ - else - A[i + j * m] = con * pow(expr, nu) * gsl_sf_bessel_Knu(nu, expr); // Matern Function - - } - } - -} - - - -void core_sdcmg_nono_stat(double *A, int m, int n, int m0, int n0, location *l1, location *l2, location *lm, double *localtheta, int distance_metric) { - - int i, j; - double l1x, l1y, l2x, l2y, lmx, lmy; - double theta_0i, theta_0j, theta_1i, theta_1j, theta_2i, theta_2j; - double diffx, diffy; - double expr = 0.0; - double con, sigma_square, beta, nu; - - - for (j = 0; j < n; j++) { - l1x = l1->x[j+n0]; - l1y = l1->y[j+n0]; - diffx = abs(l1x -lmx); - diffy = abs(l1y -lmy); - theta_0i = localtheta[0] + (localtheta[1] * diffx) + (localtheta[2] * diffy); - theta_1i = localtheta[3] + (localtheta[4] * diffx) + (localtheta[5] * diffy); - theta_2i = localtheta[6] + (localtheta[7] * diffx) + (localtheta[8] * diffy); - - for (i = 0; i < m; i++) { - l2x = l2->x[i+m0]; - l2y = l2->y[i+m0]; - diffx = abs(l2x -lmx); - diffy = abs(l2y -lmy); - theta_0j = localtheta[0] + (localtheta[1] * diffx) + (localtheta[2] * diffy); - theta_1j = localtheta[3] + (localtheta[4] * diffx) + (localtheta[5] * diffy); - theta_2j = localtheta[6] + (localtheta[7] * diffx) + (localtheta[8] * diffy); - sigma_square = (theta_0i + theta_0j)/2; - beta = (theta_1i + theta_1j)/2; - nu = (theta_2i + theta_2j)/2; - con = pow(2, (nu-1)) * tgamma(nu); - con = 1.0/con; - con = sigma_square * con; - //MLE calculation - expr = calculateDistance(l1x, l1y, l2x, l2y, distance_metric)/beta; - if(expr == 0) - A[i + j * m] = sigma_square; /* + 1e-4*/ - else - A[i + j * m] = con * pow(expr, nu) * gsl_sf_bessel_Knu(localtheta[2], expr); // Matern Function - - } - } - -} - - - -void core_scmg_nono_stat(float *A, int m, int n, int m0, int n0, location *l1, location *l2, location *lm, double *localtheta, int distance_metric) { - - int i, j; - double l1x, l1y, l2x, l2y, lmx, lmy; - double theta_0i, theta_0j, theta_1i, theta_1j, theta_2i, theta_2j; - double diffx, diffy; - double expr = 0.0; - double con, sigma_square, beta, nu; - - - for (j = 0; j < n; j++) { - l1x = l1->x[j+n0]; - l1y = l1->y[j+n0]; - diffx = abs(l1x -lmx); - diffy = abs(l1y -lmy); - theta_0i = localtheta[0] + (localtheta[1] * diffx) + (localtheta[2] * diffy); - theta_1i = localtheta[3] + (localtheta[4] * diffx) + (localtheta[5] * diffy); - theta_2i = localtheta[6] + (localtheta[7] * diffx) + (localtheta[8] * diffy); - - for (i = 0; i < m; i++) { - l2x = l2->x[i+m0]; - l2y = l2->y[i+m0]; - diffx = abs(l2x -lmx); - diffy = abs(l2y -lmy); - theta_0j = localtheta[0] + (localtheta[1] * diffx) + (localtheta[2] * diffy); - theta_1j = localtheta[3] + (localtheta[4] * diffx) + (localtheta[5] * diffy); - theta_2j = localtheta[6] + (localtheta[7] * diffx) + (localtheta[8] * diffy); - sigma_square = (theta_0i + theta_0j)/2; - beta = (theta_1i + theta_1j)/2; - nu = (theta_2i + theta_2j)/2; - con = pow(2, (nu-1)) * tgamma(nu); - con = 1.0/con; - con = sigma_square * con; - //MLE calculation - expr = calculateDistance(l1x, l1y, l2x, l2y, distance_metric)/beta; - if(expr == 0) - A[i + j * m] = (float)sigma_square; /* + 1e-4*/ - else - A[i + j * m] = (float) (con * pow(expr, nu) * gsl_sf_bessel_Knu(localtheta[2], expr)); // Matern Function - - } - } - -} diff --git a/exageostat_exact/core/include/exageostatcore.h b/exageostat_exact/core/include/exageostatcore.h deleted file mode 100644 index e7734f7..0000000 --- a/exageostat_exact/core/include/exageostatcore.h +++ /dev/null @@ -1,117 +0,0 @@ -/** - * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology - * All rights reserved. - * - * ExaGeoStat is a software package provided by KAUST - **/ -/** - * - * @file exageostatcore.h - * - * Core functions header file. - * - * @version 1.1.0 - * - * @author Sameh Abdulah - * @date 2020-01-19 - * - **/ -#ifndef _EXAGEOSTATCORE_H_ -#define _EXAGEOSTATCORE_H_ -#include "../../../misc/include/MLE_misc.h" -#include "../../../misc/include/flat_file.h" - -//Generate the covariance matrix. -void core_scmg(float *A, int m, int n, - int m0, int n0, - location *l1, location *l2, - double *localtheta, int distance_metric); - -void core_dcmg(double *A, int m, int n, - int m0, int n0, - location *l1, location *l2, - double *localtheta, int distance_metric); - - -void core_sdcmg(double *A, int m, int n, - int m0, int n0, - location *l1, location *l2, - double *localtheta, int distance_metric); - - - -void core_scmg_pow_exp(float *A, int m, int n, - int m0, int n0, - location *l1, location *l2, - double *localtheta, int distance_metric); - -void core_dcmg_pow_exp(double *A, int m, int n, - int m0, int n0, - location *l1, location *l2, - double *localtheta, int distance_metric); - - -void core_sdcmg_pow_exp(double *A, int m, int n, - int m0, int n0, - location *l1, location *l2, - double *localtheta, int distance_metric); - -void core_dcmg_bivariate_parsimonious (double *A, int m, int n, - int m0, int n0, location *l1, - location *l2, double *localtheta, int distance_metric); - -void core_dcmg_bivariate_parsimonious2 (double *A, int m, int n, - int m0, int n0, location *l1, - location *l2, double *localtheta, int distance_metric, int size); - -void core_dcmg_bivariate_flexible (double *A, int m, int n, - int m0, int n0, location *l1, - location *l2, double *localtheta, int distance_metric); - -float core_smdet(float * A, int m, int n, - int m0, int n0); - -double core_dmdet(double *A, int m, int n, - int m0, int n0); - -void core_szcpy(float *Z, int m, - int m0, float *r); - -void core_dzcpy(double *Z, int m, - int m0, double *r); - -float core_sdotp(float *Z, float *dotproduct, - int n); - -double core_ddotp(double *Z, double *dotproduct, - int n); - -/*void core_sdconv(float *A, double *B, - int m, int n); - - void core_dsconv(double *A, float *B, - int m, int n); - */ - -void core_dlag2s(int m, int n, - const double *A, int lda, - float *B, int ldb); - -void core_slag2d(int m, int n, - const float *A, int lda, - double *B, int ldb); - -void core_sprint(float *A, - int m, int n, - int m0, int n0); - -void core_dprint(double *A, - int m, int n, - int m0, int n0); - -void core_dcmg_nono_stat(double *A, int m, int n, - int m0, int n0, location *l1, - location *l2, location *lm, double *localtheta, - int distance_metric); -#endif diff --git a/exageostat_exact/core/compute/core_dlag2s.c b/exageostat_exact/cpu_core/compute/core_dlag2s.c similarity index 64% rename from exageostat_exact/core/compute/core_dlag2s.c rename to exageostat_exact/cpu_core/compute/core_dlag2s.c index 296581d..42169ed 100644 --- a/exageostat_exact/core/compute/core_dlag2s.c +++ b/exageostat_exact/cpu_core/compute/core_dlag2s.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020, King Abdullah University of Science and Technology + * Copyright (c) 2017-2023, King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,30 +11,28 @@ * * Covert double descriptor to single descriptor with transpose. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2019-01-16 + * @date 2022-11-09 * **/ +#include #include "coreblas/lapacke.h" -#include "coreblas.h" /***************************************************************************//** * - * @ingroup CORE_MORSE_Complex64_t + * @ingroup CORE_CHAMELEON_Complex64_t * **/ void core_dlag2s(int m, int n, - const double *A, int lda, - float *B, int ldb) -{ - double *C; - C = (double*) malloc(m * n * sizeof(double)); + const double* A, int lda, + float *B, int ldb) { + double* C; + C = (double* ) malloc(m * n * sizeof(double)); LAPACKE_dge_trans(LAPACK_COL_MAJOR, m, n, A, lda, C, ldb); LAPACKE_dlag2s(LAPACK_COL_MAJOR, n, m, C, ldb, B, ldb); free(C); } -/***************************************************************************/ - +/***************************************************************************/ \ No newline at end of file diff --git a/exageostat_exact/core/compute/core_dsconv.c b/exageostat_exact/cpu_core/compute/core_dsconv.c similarity index 80% rename from exageostat_exact/core/compute/core_dsconv.c rename to exageostat_exact/cpu_core/compute/core_dsconv.c index e529d5c..89eb225 100644 --- a/exageostat_exact/core/compute/core_dsconv.c +++ b/exageostat_exact/cpu_core/compute/core_dsconv.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,13 +11,12 @@ * * Generate covariance matrix of a set of locations in 2D using Matern kernel. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2018-11-11 + * @date 2022-11-09 * **/ -#include "../include/exageostatcore.h" /***************************************************************************//** * @@ -57,17 +56,14 @@ * * ******************************************************************************/ -void core_dsconv (double *A, float *B, int m, int n) { - - int i, j; - - for (j = 0; j < n; j++) { - for (i = 0; i < m; i++) { - B[i + j * m] = (float) A[i + j * m] ; -// printf("%f - %f\n", B[i + j * m], A[i + j * m]); - } - } +void core_dsconv(double* A, float *B, int m, int n) { + int i, j; + for (j = 0; j < n; j++) { + for (i = 0; i < m; i++) { + B[i + j * m] = (float) A[i + j * m]; + } + } } diff --git a/exageostat_exact/cpu_core/compute/core_g_to_ng.c b/exageostat_exact/cpu_core/compute/core_g_to_ng.c new file mode 100644 index 0000000..9182ec3 --- /dev/null +++ b/exageostat_exact/cpu_core/compute/core_g_to_ng.c @@ -0,0 +1,70 @@ +/** + * + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology + * All rights reserved. + * + * ExaGeoStat is a software package provided by KAUST + **/ +/** + * + * @file core_g_to_ng.c + * + * Convert Gaussian random field to Tukey g-and-h random field. + * + * @version 1.2.0 + * + * @author Sagnik Mondal + * @author Sameh Abdulah + * @date 2022-11-09 + * + **/ +#include "../include/exageostatcore.h" + + +/***************************************************************************//** + * + * core_g_to_ng - convert Z tile from Gaussian to non-Gaussian. + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] Z + * The 1-by-n vector on which to compute the covariance matrix. + * + * @param[in] n + * The number of cols in the tile Z. + * + * @param[in] localtheta[0],localtheta[1] + * Parameter vector that is used to generate the output covariance matrix. + * + * @param[in] localtheta[2],localtheta[3],localtheta[4],localtheta[5] + * Parameter vector that is used in Tukey-gh transformation + * localtheta[2] is location parameter + * localtheta[3] is scale parameter + * localtheta[4] is skewness parameter + * localtheta[5] is kurtosis parameter + * + ******************************************************************************* + * + * + ******************************************************************************/ +void core_g_to_ng(double* Z, double* localtheta, int m) { + + double xi = localtheta[2]; + double omega = localtheta[3]; + double g = localtheta[4]; + double h = localtheta[5]; + + int i; + if (h < 0) { + printf("The kurtosis parameter cannot be negative"); + return; + } + if (g == 0) { + for (i = 0; i < m; i++) + Z[i] = xi + omega * Z[i] * (exp(0.5 * h * pow(Z[i], 2))); + } else { + for (i = 0; i < m; i++) + Z[i] = xi + omega * (exp(g * Z[i]) - 1) * (exp(0.5 * h * pow(Z[i], 2))) / g; + } +} \ No newline at end of file diff --git a/exageostat_exact/cpu_core/compute/core_ng_loglike.c b/exageostat_exact/cpu_core/compute/core_ng_loglike.c new file mode 100644 index 0000000..e07a76e --- /dev/null +++ b/exageostat_exact/cpu_core/compute/core_ng_loglike.c @@ -0,0 +1,73 @@ +/** + * + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology + * All rights reserved. + * + * ExaGeoStat is a software package provided by KAUST + **/ +/** + * + * @file core_ng_loglike.c + * + * Calculate the loglikelihood of non-Gaussian MLE. + * + * @version 1.2.0 + * + * @author Sagnik Mondal + * @author Sameh Abdulah + * @date 2022-11-09 + * + **/ +#include "../include/exageostatcore.h" + + +/***************************************************************************//** + * + * core_ng_loglike - Calculate the loglikelihood of non-Gaussian MLE. + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] Z + * Returns the extra terms which are required to be added to the Gaussian log-likelihood + * to calculate the tgh log-likelihood + * + * @param[in] n + * The number of cols in the tile A. + * + * @param[in] localtheta[0], localtheta[1] + * Parameter vector that is used to generate the output covariance matrix. + * + * @param[in] localtheta[2],localtheta[3],localtheta[4],localtheta[5] + * Parameter vector that is used in Tukey-gh transformation + * localtheta[2] is location parameter + * localtheta[3] is scale parameter + * localtheta[4] is skewness parameter + * localtheta[5] is kurtosis parameter + * + ******************************************************************************* + * + * + ******************************************************************************/ +double core_ng_loglike(double* Z, double* localtheta, int m) { + + double xi = localtheta[2]; + double omega = localtheta[3]; + double g = localtheta[4]; + double h = localtheta[5]; + + int i; + double sum = 0; + if (h < 0) { + printf("kurtosis parameter cannot be negative"); + exit(1); + } + for (i = 0; i < m; i++) { + if (g == 0) + sum += log(1 + h * pow(Z[i], 2)) + 0.5 * h * pow(Z[i], 2); + else { + sum += log(exp(g * Z[i]) + (exp(g * Z[i]) - 1) * h * Z[i] / g) + 0.5 * h * pow(Z[i], 2); + } + } + return (sum); +} diff --git a/exageostat_exact/cpu_core/compute/core_ng_transform.c b/exageostat_exact/cpu_core/compute/core_ng_transform.c new file mode 100644 index 0000000..d542b78 --- /dev/null +++ b/exageostat_exact/cpu_core/compute/core_ng_transform.c @@ -0,0 +1,145 @@ +/** + * + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology + * All rights reserved. + * + * ExaGeoStat is a software package provided by KAUST + **/ +/** + * + * @file core_ng_transform.c + * + * Transform the tgh measurements vector to Gaussian measurements vectirs, for given parameters. This is required to compute the tgh log-likelihood for that given parameters. + * + * @version 1.2.0 + * + * @author Sagnik Mondal + * @author Sameh Abdulah + * @date 2022-11-09 + * + **/ +#include "../include/exageostatcore.h" +/***************************************************************************//** + * + * core_ng_transform - Transform the tgh measurements vector to Gaussian measurements vectirs, for given parameters. + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] Z + * The 1-by-n measurments vector. + * + * @param[in] n + * The number of cols in the tile A. + * + * @param[in] localtheta[2],localtheta[3],localtheta[4],localtheta[5] + * Parameter vector that is used in Tukey-gh transformation + * localtheta[2] is location parameter + * localtheta[3] is scale parameter + * localtheta[4] is skewness parameter + * localtheta[5] is kurtosis parameter + * + ******************************************************************************* + * + * + ******************************************************************************/ +/***************************************************************************//** + * + * f - Returns how big is a tgh observation is to a Gaussian observation, for a transformation parameter vector + ******************************************************************************* + * + * @param[in] z_non + * tgh measurement of a location + * @param[in] z + * possible Gaussian measurement of that location + * @param[in] xi, omega, g, h + * Parameters for the Tukey-gh transformation + * xi is location parameter + * omega is scale parameter + * g is skewness parameter + * h is kurtosis parameter + * returns (z_non - tgh(z,xi,omega,g,h)) + ******************************************************************************** + */ +/***************************************************************************//** + * + * df - Returns the differentiation of f with respect to z + ******************************************************************************* + * + * @param[in] z_non + * tgh measurement of a location + * @param[in] z + * possible Gaussian measurement of that location + * @param[in] xi, omega, g, h + * Parameters for the Tukey-gh transformation + * xi is location parameter + * omega is scale parameter + * g is skewness parameter + * h is kurtosis parameter + * returns derivative of (z_non - tgh(z,xi,omega,g,h)) with repect to z + ******************************************************************************** + */ +/***************************************************************************//** + * + * newton_raphson - Returns the inverse of the tgh transoformation of a tgh measurement and for given parameters for the Tukey-gh transformation using Newton Raphson algorithm + ******************************************************************************* + * + * @param[in] z + * tgh measurement of a location + * @param[in] xi, omega, g, h + * Parameters for the Tukey-gh transformation + * xi is location parameter + * omega is scale parameter + * g is skewness parameter + * h is kurtosis parameter + * @param[in] eps + * Parameter which specifies the maximum error of the solution + * returns The inverse of the tgh transoformation of a tgh measurement and for given parameters for the Tukey-gh transformation + ******************************************************************************** + */ + +static double f(double z_non, double z, double xi, double omega, double g, double h) { + if (g == 0) + return z_non - xi - omega * z * exp(0.5 * h * z * z); + else + + return z_non - xi - (omega * (exp(g * z) - 1) * (exp(0.5 * h * z * z)) / g); +} + +static double df(double z, double xi, double omega, double g, double h) { + if (g == 0) + return -omega * exp((h * z * z) / 2.0) - omega * h * z * z * exp((h * z * z) / 2.0); + else + return -omega * exp(g * z) * exp((h * z * z) / 2.0) - + (h * z * exp((h * z * z) / 2.0) * (omega * exp(g * z) - omega)) / g; +} + +double newton_raphson(double z, double xi, double omega, double g, double h, double eps) { + int itr, maxmitr; + double x0, x1, allerr; + x0 = 0; + double diff; + allerr = eps; + maxmitr = 1000; + for (itr = 1; itr <= maxmitr; itr++) { + diff = f(z, x0, xi, omega, g, h) / df(x0, xi, omega, g, h); + x1 = x0 - diff; + if (fabs(diff) < allerr) + return x1; + x0 = x1; + } + + return x1; +} + +void core_ng_transform(double* Z, double* nan_flag, double* localtheta, int m) { + + double xi = localtheta[2]; + double omega = localtheta[3]; + double g = localtheta[4]; + double h = localtheta[5]; + + double eps = 1.0e-5; + for (int i = 0; i < m; i++) + Z[i] = newton_raphson(Z[i], xi, omega, g, h, eps); +} diff --git a/exageostat_exact/core/compute/core_sdconv.c b/exageostat_exact/cpu_core/compute/core_sdconv.c similarity index 80% rename from exageostat_exact/core/compute/core_sdconv.c rename to exageostat_exact/cpu_core/compute/core_sdconv.c index e0219a0..87d988c 100644 --- a/exageostat_exact/core/compute/core_sdconv.c +++ b/exageostat_exact/cpu_core/compute/core_sdconv.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,10 +11,10 @@ * * Generate covariance matrix of a set of locations in 2D using Matern kernel. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2018-11-11 + * @date 2022-11-09 * **/ #include "../include/exageostatcore.h" @@ -57,19 +57,16 @@ * * ******************************************************************************/ -void core_sdconv (float *A, double *B, int m, int n) { - - int i, j; - char buf[42]; - for (j = 0; j < n; j++) { - for (i = 0; i < m; i++) { - sprintf(buf, "%.8g", A[i + j * m]); // round to 7 decimal digits - B[i + j * m] = atof(buf) ; - - } - } -// free(buf); +void core_sdconv(float *A, double* B, int m, int n) { + int i, j; + char buf[42]; + for (j = 0; j < n; j++) { + for (i = 0; i < m; i++) { + sprintf(buf, "%.8g", A[i + j * m]); // round to 7 decimal digits + B[i + j * m] = atof(buf); + } + } } diff --git a/exageostat_exact/core/compute/core_slag2d.c b/exageostat_exact/cpu_core/compute/core_slag2d.c similarity index 68% rename from exageostat_exact/core/compute/core_slag2d.c rename to exageostat_exact/cpu_core/compute/core_slag2d.c index be8a22e..71d86ce 100644 --- a/exageostat_exact/core/compute/core_slag2d.c +++ b/exageostat_exact/cpu_core/compute/core_slag2d.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020, King Abdullah University of Science and Technology + * Copyright (c) 2017-2023, King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,28 +11,27 @@ * * Covert single descriptor to double descriptor with transpose. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2019-01-16 + * @date 2022-11-09 * **/ -#include "coreblas/lapacke.h" -#include "coreblas.h" +#include #include "../include/exageostatcore.h" + /***************************************************************************//** * - * @ingroup CORE_MORSE_Complex64_t + * @ingroup CORE_CHAMELEON_Complex64_t * **/ void core_slag2d(int m, int n, - const float *A, int lda, - double *B, int ldb) -{ + const float *A, int lda, + double* B, int ldb) { float *C; - C = (float*) malloc(m * n * sizeof(float)); + C = (float *) malloc(m * n * sizeof(float)); LAPACKE_sge_trans(LAPACK_COL_MAJOR, m, n, A, lda, C, ldb); LAPACKE_slag2d(LAPACK_COL_MAJOR, n, m, C, ldb, B, ldb); free(C); diff --git a/exageostat_exact/cpu_core/compute/core_zcmg.c b/exageostat_exact/cpu_core/compute/core_zcmg.c new file mode 100644 index 0000000..64cf848 --- /dev/null +++ b/exageostat_exact/cpu_core/compute/core_zcmg.c @@ -0,0 +1,2131 @@ +/** + * + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology + * All rights reserved. + * + * ExaGeoStat is a software package provided by KAUST + **/ +/** + * + * @file core_dcmg.c + * + * Generate covariance matrix of a set of locations in 2D using Matern kernel. + * + * @version 1.2.0 + * @author Suhas Shankar + * @author Mary Lai Salvana + * @author Sameh Abdulah + * @date 2022-11-09 + * + **/ +#include "../include/exageostatcore.h" +#include "assert.h" + +#define pow_e (2.71828182845904) + +/** + * This function converts decimal degrees to radians + * @param deg decimal degree + */ +static double deg2rad(double deg) { + return (deg * PI / 180); +} + +/** + * This function converts radians to decimal degrees + * @param rad radians + */ +static double rad2deg(double rad) { + return (rad * 180 / PI); +} + +/** + * Returns the distance between two points on the Earth. + * Direct translation from http://en.wikipedia.org/wiki/Haversine_formula + * @param lat1d Latitude of the first point in degrees + * @param lon1d Longitude of the first point in degrees + * @param lat2d Latitude of the second point in degrees + * @param lon2d Longitude of the second point in degrees + * @return The distance between the two points in kilometers + */ +static double distanceEarth(double lat1d, double lon1d, double lat2d, double lon2d) { + double lat1r, lon1r, lat2r, lon2r, u, v; + lat1r = deg2rad(lat1d); + lon1r = deg2rad(lon1d); + lat2r = deg2rad(lat2d); + lon2r = deg2rad(lon2d); + u = sin((lat2r - lat1r) / 2); + v = sin((lon2r - lon1r) / 2); + return 2.0 * earthRadiusKm * asin(sqrt(u * u + cos(lat1r) * cos(lat2r) * v * v)); +} + +/** + * Returns the Euclidean distance between two points. + * @param l1 location in 2D or 3D + * @param l2 location in 2D or 3D + * @param l1_index location index + * @param l2_index location index + * @param z_flag 0--->2D or 1-->3D + * @return The Euclidean distance between the two points + */ +static double calculateDistance(location* l1, location* l2, int l1_index, + int l2_index, int distance_metric, int z_flag) { + + double z1, z2; + double x1 = l1->x[l1_index]; + double y1 = l1->y[l1_index]; + double x2 = l2->x[l2_index]; + double y2 = l2->y[l2_index]; + if (l1->z == NULL || l2->z == NULL || z_flag == 1) { + if (distance_metric == 1) + return distanceEarth(x1, y1, x2, y2); + return sqrt(pow((x2 - x1), 2) + pow((y2 - y1), 2)); + } else { + if (distance_metric == 1) { + printf("Great Circle (GC) distance is only valid for 2d\n"); + exit(0); + } + z1 = l1->z[l1_index]; + z2 = l2->z[l2_index]; + return sqrt(pow((x2 - x1), 2) + pow((y2 - y1), 2) + pow((z2 - z1), 2)); + } +} + +/** + * Function for spatial range + * @param x x co-ordinate + * @param y y co-ordinate + * @param a parameter for function + * @param b parameter for function + * @return The function ae^(sin bx + sin by) + */ +static double lambda(double x, double y, double a, double b) { + + return (a * pow(pow_e, sin(b * x) + sin(b * y))); +} + +/** + * Function for partial sill + * @param x x co-ordinate + * @param y y co-ordinate + * @param d parameter for function + * @param e parameter for function + * @param f parameter for function + * @return The function de^(e(x+y)) + f + */ +static double sigma(double x, double y, double d, double e, double f) { + + return (d * pow(pow_e, e * (x + y)) + f); +} + +/** + * Function for smoothness parameter + * @param x x co-ordinate + * @param y y co-ordinate + * @param g parameter for function + * @param h parameter for function + * @param ti parameter for function + * @return The function ge^(h(x+y)) + ti + */ +static double neu(double x, double y, double g, double h, double ti) { + + return (g * pow(pow_e, h * (x + y)) + ti); +} + +/** + * Utility function that evaluates the matern. Similiar to + * (https://www.rdocumentation.org/packages/PrevMap/versions/1.5.3/topics/matern.kernel) in R + * @param range Spatial Range parameter (Also known as rho) + * @param smoothness Smoothness parameter (Also known as neu) + * @param distance Distance between the two locations + * @return Matern function evaluation + */ +static double matern_util(double range, double smoothness, double distance) { + double con = 0.0; + con = pow(2, (smoothness - 1)) * tgamma(smoothness); + con = 1.0 / con; + + if (distance == 0) + return 1; + else + return con * pow(distance / range, smoothness) + * gsl_sf_bessel_Knu(smoothness, distance / range); // Matern Function +} + +/** + * Returns the Mahalanobis distance between two points to account for anisotropy + * @param x1 x co-ordinate of first point + * @param y1 y co-ordinate of first point + * @param x2 x co-ordinate of second point + * @param y2 y co-ordinate of second point + * @param a11 First element of the positive definite matrix that defines the Mahalanobis Distance + * @param a12 Second element of the positive definite matrix that defines the Mahalanobis Distance + * @param a21 Third element of the positive definite matrix that defines the Mahalanobis Distance + * @param a22 Fourth element of the positive definite matrix that defines the Mahalanobis Distance + * @return The Mahalanobis Distance + */ +static double calculateMahalanobisDistanceSquared(double x1, double y1, double x2, + double y2, double a11, double a12, + double a21, double a22) { + + double diffx = x1 - x2; + double diffy = y1 - y2; + + double el1 = a11 * diffx + a21 * diffy; + double el2 = a12 * diffx + a22 * diffy; + + double ans = el1 * diffx + el2 * diffy; + + return ans; +} + + +/** + * Function for TODO + * @param nu TODO + * @param input TODO + * @return TODO + */ +static double dbessel_input(double nu, double input) { + return (nu / input * gsl_sf_bessel_Knu(nu, input) - gsl_sf_bessel_Knu(nu + 1, input)); +} + + +/** + * Function for TODO + * @param x TODO + * @return TODO + */ +static double psi(double x) { + double result = 0, xx, xx2, xx4; + assert(x > 0); + for (; x < 7; ++x) + result -= 1 / x; + x -= 1.0 / 2.0; + xx = 1.0 / x; + xx2 = xx * xx; + xx4 = xx2 * xx2; + result += log(x) + (1. / 24.) * xx2 - (7.0 / 960.0) * xx4 + (31.0 / 8064.0) * xx4 * xx2 - + (127.0 / 30720.0) * xx4 * xx4; + return result; +} + +/** + * Function for TODO + * @param x TODO + * @return TODO + */ +static double dpsi(double x) { + return (1 / x + 0.5 * pow(x, 2)); +} + +/** + * Function for TODO + * @param nu TODO + * @param input TODO + * @return TODO + */ +static double dbessel_nu(double nu, double input) { + if (nu == 0) return (0); + + else { + double dbessel = (gsl_sf_bessel_Knu(nu + 0.000000001, input) - gsl_sf_bessel_Knu(nu, input)) / 0.000000001; + return (dbessel); + } +} + +/** + * Function for TODO + * @param nu TODO + * @param input TODO + * @return TODO + */ +static double ddbessel_input(double nu, double input) { + return (-0.5 * (dbessel_input(nu - 1, input) + dbessel_input(nu + 1, input))); +} + +/** + * Function for TODO + * @param nu TODO + * @param input TODO + * @return TODO + */ +static double dbessel_input_nu(double nu, double input) { + if (nu < 1) { + double nu_new = abs(nu - 1); + + return (-0.5 * (-dbessel_nu(nu_new, input) + dbessel_nu(abs(nu + 1), input))); + } else { + + return (-0.5 * (dbessel_nu(nu - 1, input) + dbessel_nu(abs(nu + 1), input))); + } +} + +/** + * Function for TODO + * @param nu TODO + * @param input TODO + * @return TODO + */ +static double ddbessel_nu(double nu, double input) { + if (nu == 0) return (0); + else { + double ddbessel = (dbessel_nu(nu + 0.000001, input) - dbessel_nu(nu, input)) / 0.000001; + return (ddbessel); + } +} + + +/***************************************************************************** + * + * core_dcmg_matern_dsigma_square - TODO + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] A + * The m-by-n matrix on which to compute the covariance matrix. + * + * @param[in] m + * The number of rows in the tile A. + * + * @param[in] n + * The number of cols in the tile A. + * + * @param[in] m0 + * Global row index of the tile A. + * + * @param[in] n0 + * Global col index of the tile A. + * + * @param[in] l1 + * Location struct of the first input. + * + * @param[in] l2 + * Location struct of the second input. + * + * @param[in] localtheta + * Parameter vector that is used to generate the output covariance matrix. + * + * @param[in] distance_metric + * Distance metric "euclidean Distance (ED) ->0" or "Great Circle Distance (GCD) ->1" + * + *******************************************************************************/ + +void core_dcmg_matern_dsigma_square(double* A, int m, int n, + int m0, int n0, location* l1, + location* l2, double* localtheta, int distance_metric) { + int i, j; + int i0 = m0; + int j0 = n0; + double x0, y0, z0; + double expr = 0.0; + double con = 0.0; + double sigma_square = localtheta[0]; + con = pow(2, (localtheta[2] - 1)) * tgamma(localtheta[2]); + con = 1.0 / con; + for (i = 0; i < m; i++) { + j0 = n0; + for (j = 0; j < n; j++) { + expr = calculateDistance(l1, l2, i0, j0, distance_metric, 0) / localtheta[1]; + if (expr == 0) { + A[i + j * m] = 1 ; + } else { + A[i + j * m] = con * pow(expr, localtheta[2]) * + gsl_sf_bessel_Knu(localtheta[2], expr); // derivative with respect to sigma square + } + + j0++; + } + i0++; + } +} + + +/***************************************************************************** + * + * core_dcmg_matern_dnu - TODO + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] A + * The m-by-n matrix on which to compute the covariance matrix. + * + * @param[in] m + * The number of rows in the tile A. + * + * @param[in] n + * The number of cols in the tile A. + * + * @param[in] m0 + * Global row index of the tile A. + * + * @param[in] n0 + * Global col index of the tile A. + * + * @param[in] l1 + * Location struct of the first input. + * + * @param[in] l2 + * Location struct of the second input. + * + * @param[in] localtheta + * Parameter vector that is used to generate the output covariance matrix. + * + * @param[in] distance_metric + * Distance metric "euclidean Distance (ED) ->0" or "Great Circle Distance (GCD) ->1" + * + *******************************************************************************/ +void core_dcmg_matern_dnu(double* A, int m, int n, + int m0, int n0, location* l1, + location* l2, double* localtheta, int distance_metric) { + int i, j; + int i0 = m0; + int j0 = n0; + double x0, y0, z0; + double expr = 0.0; + double nu_expr = 0.0; + double sigma_square = localtheta[0]; + for (i = 0; i < m; i++) { + j0 = n0; + for (j = 0; j < n; j++) { + expr = calculateDistance(l1, l2, i0, j0, distance_metric, 0) / localtheta[1]; + if (expr == 0) { + A[i + j * m] = 0.0; + } else { + + nu_expr = -2 * log(2.0) * pow(2, -localtheta[2]) * 1 / tgamma(localtheta[2]) + * pow(expr, localtheta[2]) * gsl_sf_bessel_Knu(localtheta[2], expr) + + pow(2, 1 - localtheta[2]) + * (-1 / tgamma(localtheta[2]) * psi(localtheta[2]) * pow(expr, localtheta[2]) + * gsl_sf_bessel_Knu(localtheta[2], expr) + 1 / tgamma(localtheta[2]) + * (pow(expr, localtheta[2]) * log(expr) + * gsl_sf_bessel_Knu(localtheta[2], expr) + + pow(expr, localtheta[2]) + * dbessel_nu(localtheta[2], expr))); + + A[i + j * m] = sigma_square * nu_expr; //derivative with respect to nu + + } + j0++; + + } + i0++; + } +} + +/***************************************************************************** + * + * core_dcmg_matern_dbeta - TODO + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] A + * The m-by-n matrix on which to compute the covariance matrix. + * + * @param[in] m + * The number of rows in the tile A. + * + * @param[in] n + * The number of cols in the tile A. + * + * @param[in] m0 + * Global row index of the tile A. + * + * @param[in] n0 + * Global col index of the tile A. + * + * @param[in] l1 + * Location struct of the first input. + * + * @param[in] l2 + * Location struct of the second input. + * + * @param[in] localtheta + * Parameter vector that is used to generate the output covariance matrix. + * + * @param[in] distance_metric + * Distance metric "euclidean Distance (ED) ->0" or "Great Circle Distance (GCD) ->1" + * + *******************************************************************************/ +void core_dcmg_matern_dbeta(double* A, int m, int n, + int m0, int n0, location* l1, + location* l2, double* localtheta, int distance_metric) { + int i, j; + int i0 = m0; + int j0 = n0; + double x0, y0, z0; + double expr = 0.0; + double beta_expr = 0.0; + double con = 0.0; + double sigma_square = localtheta[0]; + con = pow(2, (localtheta[2] - 1)) * tgamma(localtheta[2]); + con = 1.0 / con; + + for (i = 0; i < m; i++) { + j0 = n0; + for (j = 0; j < n; j++) { + expr = calculateDistance(l1, l2, i0, j0, distance_metric, 0) / localtheta[1]; + if (expr == 0) { + A[i + j * m] = 0.0; + } else { + beta_expr = -localtheta[2] / localtheta[1] * pow(expr, localtheta[2]) + * gsl_sf_bessel_Knu(localtheta[2], expr) - pow(expr, localtheta[2]) + * dbessel_input(localtheta[2], expr) * expr / + localtheta[1]; + + A[i + j * m] = sigma_square * con * beta_expr;//derivative withrespect to beta + + } + j0++; + } + + + i0++; + } +} + + +/***************************************************************************** + * + * core_dcmg_matern_ddsigma_square - TODO + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] A + * The m-by-n matrix on which to compute the covariance matrix. + * + * @param[in] m + * The number of rows in the tile A. + * + * @param[in] n + * The number of cols in the tile A. + * + *******************************************************************************/ +void core_dcmg_matern_ddsigma_square(double* A, int m, int n) { + int i, j; + double x0, y0, z0; + + for (i = 0; i < m; i++) { + + for (j = 0; j < n; j++) { + + A[i + j * m] = 0.0; + + } + } +} + +/***************************************************************************** + * + * core_dcmg_matern_ddsigma_square_beta - TODO + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] A + * The m-by-n matrix on which to compute the covariance matrix. + * + * @param[in] m + * The number of rows in the tile A. + * + * @param[in] n + * The number of cols in the tile A. + * + * @param[in] m0 + * Global row index of the tile A. + * + * @param[in] n0 + * Global col index of the tile A. + * + * @param[in] l1 + * Location struct of the first input. + * + * @param[in] l2 + * Location struct of the second input. + * + * @param[in] localtheta + * Parameter vector that is used to generate the output covariance matrix. + * + * @param[in] distance_metric + * Distance metric "euclidean Distance (ED) ->0" or "Great Circle Distance (GCD) ->1" + * + *******************************************************************************/ +void core_dcmg_matern_ddsigma_square_beta(double* A, int m, int n, + int m0, int n0, location* l1, + location* l2, double* localtheta, int distance_metric) { + int i, j; + int i0 = m0; + int j0 = n0; + double x0, y0, z0; + double expr = 0.0; + double con = 0.0; + double beta_expr = 0.0; + double sigma_square = localtheta[0]; + con = pow(2, (localtheta[2] - 1)) * tgamma(localtheta[2]); + con = 1.0 / con; + for (i = 0; i < m; i++) { + j0 = n0; + for (j = 0; j < n; j++) { + expr = calculateDistance(l1, l2, i0, j0, distance_metric, 0) / localtheta[1]; + if (expr == 0) { + + A[i + j * m] = 0.0; + + } else { + beta_expr = -localtheta[2] / localtheta[1] * pow(expr, localtheta[2]) + * gsl_sf_bessel_Knu(localtheta[2], expr) - pow(expr, localtheta[2]) + * dbessel_input(localtheta[2], expr) * expr / + localtheta[1]; + A[i + j * m] = con * beta_expr; // derivative with respect to sigma square and beta + } + j0++; + } + i0++; + } +} + +/***************************************************************************** + * + * core_dcmg_matern_ddsigma_square_nu - TODO + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] A + * The m-by-n matrix on which to compute the covariance matrix. + * + * @param[in] m + * The number of rows in the tile A. + * + * @param[in] n + * The number of cols in the tile A. + * + * @param[in] m0 + * Global row index of the tile A. + * + * @param[in] n0 + * Global col index of the tile A. + * + * @param[in] l1 + * Location struct of the first input. + * + * @param[in] l2 + * Location struct of the second input. + * + * @param[in] localtheta + * Parameter vector that is used to generate the output covariance matrix. + * + * @param[in] distance_metric + * Distance metric "euclidean Distance (ED) ->0" or "Great Circle Distance (GCD) ->1" + *******************************************************************************/ +void core_dcmg_matern_ddsigma_square_nu(double* A, int m, int n, + int m0, int n0, location* l1, + location* l2, double* localtheta, int distance_metric) { + int i, j; + int i0 = m0; + int j0 = n0; + double x0, y0, z0; + double expr = 0.0; + double con = 0.0; + double nu_expr = 0.0; + double sigma_square = localtheta[0]; + con = pow(2, (localtheta[2] - 1)) * tgamma(localtheta[2]); + con = 1.0 / con; + for (i = 0; i < m; i++) { + j0 = n0; + for (j = 0; j < n; j++) { + expr = calculateDistance(l1, l2, i0, j0, distance_metric, 0) / localtheta[1]; + if (expr == 0) { + A[i + j * m] = 0.0; + } else { + + nu_expr = (1 - localtheta[2]) * 1 / pow(2, localtheta[2]) * 1 / tgamma(localtheta[2]) + * pow(expr, localtheta[2]) * gsl_sf_bessel_Knu(localtheta[2], expr) + + pow(2, 1 - localtheta[2]) + * (-1 / tgamma(localtheta[2]) * psi(localtheta[2]) * pow(expr, localtheta[2]) + * gsl_sf_bessel_Knu(localtheta[2], expr) + 1 / tgamma(localtheta[2]) + * (pow(expr, localtheta[2]) * log(expr) + * gsl_sf_bessel_Knu(localtheta[2], expr) + + pow(expr, localtheta[2]) + * dbessel_nu(localtheta[2], expr))); + A[i + j * m] = nu_expr; // derivative with respect to sigma square + } + j0++; + } + i0++; + } +} + + +/***************************************************************************** + * + * core_dcmg_matern_ddbeta_beta - TODO + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] A + * The m-by-n matrix on which to compute the covariance matrix. + * + * @param[in] m + * The number of rows in the tile A. + * + * @param[in] n + * The number of cols in the tile A. + * + * @param[in] m0 + * Global row index of the tile A. + * + * @param[in] n0 + * Global col index of the tile A. + * + * @param[in] l1 + * Location struct of the first input. + * + * @param[in] l2 + * Location struct of the second input. + * + * @param[in] localtheta + * Parameter vector that is used to generate the output covariance matrix. + * + * @param[in] distance_metric + * Distance metric "euclidean Distance (ED) ->0" or "Great Circle Distance (GCD) ->1" + * + *******************************************************************************/ +void core_dcmg_matern_ddbeta_beta(double* A, int m, int n, + int m0, int n0, location* l1, + location* l2, double* localtheta, int distance_metric) { + int i, j; + int i0 = m0; + int j0 = n0; + double x0, y0, z0; + double expr = 0.0; + double con = 0.0; + double beta_expr = 0.0; + double beta_expr_prime = 0.0; + double sigma_square = localtheta[0]; + con = pow(2, (localtheta[2] - 1)) * tgamma(localtheta[2]); + con = 1.0 / con; + for (i = 0; i < m; i++) { + j0 = n0; + for (j = 0; j < n; j++) { + expr = calculateDistance(l1, l2, i0, j0, distance_metric, 0) / localtheta[1]; + if (expr == 0) { + + A[i + j * m] = 0.0; + } else { + + beta_expr = -localtheta[2] / localtheta[1] * pow(expr, localtheta[2]) + * gsl_sf_bessel_Knu(localtheta[2], expr) - pow(expr, localtheta[2]) + * dbessel_input(localtheta[2], expr) * expr / + localtheta[1]; + + beta_expr_prime = -localtheta[2] / localtheta[1] * pow(expr, localtheta[2]) + * dbessel_input(localtheta[2], expr) - pow(expr, localtheta[2]) + * ddbessel_input(localtheta[2], expr) * expr / + localtheta[1]; + + A[i + j * m] = (localtheta[2] / pow(localtheta[1], 2) * pow(expr, localtheta[2]) * + gsl_sf_bessel_Knu(localtheta[2], expr) + - localtheta[2] / localtheta[1] * beta_expr + + 2 * expr / pow(localtheta[1], 2) * pow(expr, localtheta[2]) + * dbessel_input(localtheta[2], expr) - expr / localtheta[1] * beta_expr_prime) * + sigma_square * con; // derivative with respect to beta beta + } + j0++; + } + i0++; + } +} + + +/***************************************************************************** + * + * core_dcmg_matern_ddbeta_beta - TODO + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] A + * The m-by-n matrix on which to compute the covariance matrix. + * + * @param[in] m + * The number of rows in the tile A. + * + * @param[in] n + * The number of cols in the tile A. + * + * @param[in] m0 + * Global row index of the tile A. + * + * @param[in] n0 + * Global col index of the tile A. + * + * @param[in] l1 + * Location struct of the first input. + * + * @param[in] l2 + * Location struct of the second input. + * + * @param[in] localtheta + * Parameter vector that is used to generate the output covariance matrix. + * + * @param[in] distance_metric + * Distance metric "euclidean Distance (ED) ->0" or "Great Circle Distance (GCD) ->1" + * + *******************************************************************************/ +void core_dcmg_matern_ddbeta_nu(double* A, int m, int n, + int m0, int n0, location* l1, + location* l2, double* localtheta, int distance_metric) { + int i, j; + int i0 = m0; + int j0 = n0; + double x0, y0, z0; + double expr = 0.0; + double con = 0.0; + double nu_expr = 0.0; + double nu_expr_prime = 0.0; + double sigma_square = localtheta[0]; + con = pow(2, (localtheta[2] - 1)) * tgamma(localtheta[2]); + con = 1.0 / con; + for (i = 0; i < m; i++) { + j0 = n0; + for (j = 0; j < n; j++) { + expr = calculateDistance(l1, l2, i0, j0, distance_metric, 0) / localtheta[1]; + if (expr == 0) { + A[i + j * m] = 0.0; + } else { + nu_expr = (1 - localtheta[2]) * 1 / pow(2, localtheta[2]) * 1 / tgamma(localtheta[2]) + * pow(expr, localtheta[2]) * gsl_sf_bessel_Knu(localtheta[2], expr) + + pow(2, 1 - localtheta[2]) + * (-1 / tgamma(localtheta[2]) * psi(localtheta[2]) * pow(expr, localtheta[2]) + * gsl_sf_bessel_Knu(localtheta[2], expr) + 1 / tgamma(localtheta[2]) + * (pow(expr, localtheta[2]) * log(expr) + * gsl_sf_bessel_Knu(localtheta[2], expr) + + pow(expr, localtheta[2]) + * dbessel_nu(localtheta[2], expr))); + + nu_expr_prime = (1 - localtheta[2]) * 1 / pow(2, localtheta[2]) * 1 / tgamma(localtheta[2]) + * pow(expr, localtheta[2]) * dbessel_input(localtheta[2], expr) + + pow(2, 1 - localtheta[2]) + * (-1 / tgamma(localtheta[2]) * psi(localtheta[2]) * pow(expr, localtheta[2]) + * dbessel_input(localtheta[2], expr) + 1 / tgamma(localtheta[2]) + * (pow(expr, localtheta[2]) * log(expr) + * dbessel_input(localtheta[2], expr) + + pow(expr, localtheta[2]) + * dbessel_input_nu(localtheta[2], expr))); + + A[i + j * m] = (-1 / localtheta[1] * (con * pow(expr, localtheta[2]) + * gsl_sf_bessel_Knu(localtheta[2], expr)) + - localtheta[2] / localtheta[1] * nu_expr - expr / localtheta[1] * nu_expr_prime) * + sigma_square; + } + j0++; + } + i0++; + } +} + +/***************************************************************************** + * + * core_dcmg_matern_ddnu_nu - TODO + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] A + * The m-by-n matrix on which to compute the covariance matrix. + * + * @param[in] m + * The number of rows in the tile A. + * + * @param[in] n + * The number of cols in the tile A. + * + * @param[in] m0 + * Global row index of the tile A. + * + * @param[in] n0 + * Global col index of the tile A. + * + * @param[in] l1 + * Location struct of the first input. + * + * @param[in] l2 + * Location struct of the second input. + * + * @param[in] localtheta + * Parameter vector that is used to generate the output covariance matrix. + * + * @param[in] distance_metric + * Distance metric "euclidean Distance (ED) ->0" or "Great Circle Distance (GCD) ->1" + * + *******************************************************************************/ +void core_dcmg_matern_ddnu_nu(double* A, int m, int n, + int m0, int n0, location* l1, + location* l2, double* localtheta, int distance_metric) { + int i, j; + int i0 = m0; + int j0 = n0; + double x0, y0, z0; + double expr = 0.0; + double con = 0.0; + double nu_expr = 0.0; + double nu_expr_dprime = 0.0; + double sigma_square = localtheta[0];//* localtheta[0]; + con = pow(2, (localtheta[2] - 1)) * tgamma(localtheta[2]); + con = 1.0 / con; + for (i = 0; i < m; i++) { + j0 = n0; + for (j = 0; j < n; j++) { + expr = calculateDistance(l1, l2, i0, j0, distance_metric, 0) / localtheta[1]; + if (expr == 0) { + + A[i + j * m] = 0.0 /*+ 1e-4*/; + } else { + nu_expr = (1 - localtheta[2]) * 1 / pow(2, localtheta[2]) * 1 / tgamma(localtheta[2]) + * pow(expr, localtheta[2]) * gsl_sf_bessel_Knu(localtheta[2], expr) + + pow(2, 1 - localtheta[2]) + * (-1 / tgamma(localtheta[2]) * psi(localtheta[2]) * pow(expr, localtheta[2]) + * gsl_sf_bessel_Knu(localtheta[2], expr) + 1 / tgamma(localtheta[2]) + * (pow(expr, localtheta[2]) * log(expr) + * gsl_sf_bessel_Knu(localtheta[2], expr) + + pow(expr, localtheta[2]) + * dbessel_nu(localtheta[2], expr))); + + + nu_expr_dprime = (1 - localtheta[2]) * 1 / pow(2, localtheta[2]) * 1 / tgamma(localtheta[2]) + * pow(expr, localtheta[2]) * dbessel_nu(localtheta[2], expr) + + pow(2, 1 - localtheta[2]) + * (-1 / tgamma(localtheta[2]) * psi(localtheta[2]) * pow(expr, localtheta[2]) + * dbessel_nu(localtheta[2], expr) + 1 / tgamma(localtheta[2]) + * (pow(expr, localtheta[2]) * log(expr) + * dbessel_nu(localtheta[2], expr) + + pow(expr, localtheta[2]) + * ddbessel_nu(localtheta[2], expr))); + + A[i + j * m] = (-0.5 * con * pow(expr, localtheta[2]) * gsl_sf_bessel_Knu(localtheta[2], expr) + + (1 - localtheta[2]) / 2 * nu_expr + - dpsi(localtheta[2]) * con * pow(expr, localtheta[2]) * + gsl_sf_bessel_Knu(localtheta[2], expr) - psi(localtheta[2]) + * nu_expr + log(expr) * nu_expr + + nu_expr_dprime) * sigma_square; + // derivative with respect to nu nu + } + j0++; + } + i0++; + + } + +} + + +/***************************************************************************** + * + * core_dcmg - TODO + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] A + * The m-by-n matrix on which to compute the covariance matrix. + * + * @param[in] m + * The number of rows in the tile A. + * + * @param[in] n + * The number of cols in the tile A. + * + * @param[in] m0 + * Global row index of the tile A. + * + * @param[in] n0 + * Global col index of the tile A. + * + * @param[in] l1 + * Location struct of the first input. + * + * @param[in] l2 + * Location struct of the second input. + * + * @param[in] localtheta + * Parameter vector that is used to generate the output covariance matrix. + * + * @param[in] distance_metric + * Distance metric "euclidean Distance (ED) ->0" or "Great Circle Distance (GCD) ->1" + * + *******************************************************************************/ +void core_dcmg(double* A, int m, int n, + int m0, int n0, location* l1, + location* l2, double* localtheta, int distance_metric) { + + int i, j; + int i0 = m0; + int j0 = n0; + double x0, y0, z0; + double expr = 0.0; + double con = 0.0; + double sigma_square = localtheta[0];// * localtheta[0]; + + con = pow(2, (localtheta[2] - 1)) * tgamma(localtheta[2]); + con = 1.0 / con; + con = sigma_square * con; + + for (i = 0; i < m; i++) { + j0 = n0; + for (j = 0; j < n; j++) { + expr = calculateDistance(l1, l2, i0, j0, distance_metric, 0) / localtheta[1]; + if (expr == 0) + A[i + j * m] = sigma_square /*+ 1e-4*/; + else + A[i + j * m] = con * pow(expr, localtheta[2]) + * gsl_sf_bessel_Knu(localtheta[2], expr); // Matern Function + + j0++; + } + i0++; + } + +} + +/***************************************************************************** + * + * core_ng_dcmg - TODO + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] A + * The m-by-n matrix on which to compute the covariance matrix. + * + * @param[in] m + * The number of rows in the tile A. + * + * @param[in] n + * The number of cols in the tile A. + * + * @param[in] m0 + * Global row index of the tile A. + * + * @param[in] n0 + * Global col index of the tile A. + * + * @param[in] l1 + * Location struct of the first input. + * + * @param[in] l2 + * Location struct of the second input. + * + * @param[in] localtheta + * Parameter vector that is used to generate the output covariance matrix. + * + * @param[in] distance_metric + * Distance metric "euclidean Distance (ED) ->0" or "Great Circle Distance (GCD) ->1" + * + *******************************************************************************/ +void core_ng_dcmg(double* A, int m, int n, + int m0, int n0, location* l1, + location* l2, double* localtheta, int distance_metric) { + + //localtheta[0] <- \phi + //localtheta[1] <- \nu + int i, j; + int i0 = m0; + int j0 = n0; + double x0, y0, z0; + double expr = 0.0; + double con = 0.0; + double sigma_square = 1; + + con = pow(2, (localtheta[1] - 1)) * tgamma(localtheta[1]); + con = 1.0 / con; + con = sigma_square * con; + + for (i = 0; i < m; i++) { + j0 = n0; + for (j = 0; j < n; j++) { + expr = 4 * sqrt(2 * localtheta[1]) * + (calculateDistance(l1, l2, i0, j0, distance_metric, 0) / localtheta[0]); + if (expr == 0) + A[i + j * m] = sigma_square /*+ 1e-4*/; + else + A[i + j * m] = con * pow(expr, localtheta[1]) + * gsl_sf_bessel_Knu(localtheta[1], expr); // Matern Function + j0++; + } + i0++; + } +} + +/***************************************************************************** + * + * core_ng_exp_dcmg - TODO + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] A + * The m-by-n matrix on which to compute the covariance matrix. + * + * @param[in] m + * The number of rows in the tile A. + * + * @param[in] n + * The number of cols in the tile A. + * + * @param[in] m0 + * Global row index of the tile A. + * + * @param[in] n0 + * Global col index of the tile A. + * + * @param[in] l1 + * Location struct of the first input. + * + * @param[in] l2 + * Location struct of the second input. + * + * @param[in] localtheta + * Parameter vector that is used to generate the output covariance matrix. + * + * @param[in] distance_metric + * Distance metric "euclidean Distance (ED) ->0" or "Great Circle Distance (GCD) ->1" + * + *******************************************************************************/ +void core_ng_exp_dcmg(double* A, int m, int n, + int m0, int n0, location* l1, + location* l2, double* localtheta, int distance_metric) { + + //localtheta[0] <- \phi + //localtheta[1] <- \nu + + int i, j; + int i0 = m0; + int j0 = n0; + double x0, y0, z0; + double expr = 0.0; + + double sigma_square = 1; + + for (i = 0; i < m; i++) { + j0 = n0; + for (j = 0; j < n; j++) { + expr = calculateDistance(l1, l2, i0, j0, distance_metric, 0) / localtheta[0]; + + if (expr == 0) + A[i + j * m] = sigma_square /*+ 1e-4*/; + else + A[i + j * m] = exp(-expr); + + j0++; + } + i0++; + } +} + +/***************************************************************************//** + * + * core_scmg - TODO + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] A + * The m-by-n matrix on which to compute the covariance matrix. + * + * @param[in] m + * The number of rows in the tile A. + * + * @param[in] n + * The number of cols in the tile A. + * + * @param[in] m0 + * global row index of the tile A. + * + * @param[in] n0 + * global col index of the tile A. + * + * @param[in] l1 + * location struct of the first input. + * + * @param[in] l2 + * location struct of the second input. + * + * @param[in] localtheta + * parameter vector that should be used to generate the output covariance matrix + * + * @param[in] distance_metric + * distance metric "euclidean Distance (ED"" or "Great Circle Distance (GCD)" + * + ******************************************************************************* + * + * + ******************************************************************************/ +void core_scmg(float *A, int m, int n, + int m0, int n0, location* l1, + location* l2, double* localtheta, int distance_metric) { + + int i, j; + int i0 = m0; + int j0 = n0; + float x0, y0, z0; + float expr = 0.0; + float con = 0.0; + float sigma_square = localtheta[0]; + + con = pow(2, (localtheta[2] - 1)) * tgamma(localtheta[2]); + con = 1.0 / con; + con = sigma_square * con; + + + for (i = 0; i < m; i++) { + j0 = n0; + for (j = 0; j < n; j++) { + expr = calculateDistance(l1, l2, i0, j0, distance_metric, 0) / localtheta[1]; + if (expr == 0) + A[i + j * m] = sigma_square /*+ 1e-4*/; + else + A[i + j * m] = con * pow(expr, localtheta[2]) + * gsl_sf_bessel_Knu(localtheta[2], expr); // Matern Function + j0++; + } + i0++; + } +} + +/***************************************************************************** + * + * core_sdcmg - TODO + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] A + * The m-by-n matrix on which to compute the covariance matrix. + * + * @param[in] m + * The number of rows in the tile A. + * + * @param[in] n + * The number of cols in the tile A. + * + * @param[in] m0 + * Global row index of the tile A. + * + * @param[in] n0 + * Global col index of the tile A. + * + * @param[in] l1 + * Location struct of the first input. + * + * @param[in] l2 + * Location struct of the second input. + * + * @param[in] localtheta + * Parameter vector that is used to generate the output covariance matrix. + * + * @param[in] distance_metric + * Distance metric "euclidean Distance (ED) ->0" or "Great Circle Distance (GCD) ->1" + * + *******************************************************************************/ +void core_sdcmg(double* A, int m, int n, + int m0, int n0, location* l1, + location* l2, double* localtheta, int distance_metric) { + + int i, j; + int i0 = m0; + int j0 = n0; + double x0, y0, z0; + double expr = 0.0; + double con = 0.0; + double sigma_square = localtheta[0]; + + con = pow(2, (localtheta[2] - 1)) * tgamma(localtheta[2]); + con = 1.0 / con; + con = sigma_square * con; + + + for (i = 0; i < m; i++) { + j0 = n0; + for (j = 0; j < n; j++) { + expr = calculateDistance(l1, l2, i0, j0, distance_metric, 0) / localtheta[1]; + if (expr == 0) + A[i + j * m] = (float) (sigma_square /*+ 1e-4*/); + else + A[i + j * m] = (float) (con * pow(expr, localtheta[2]) + * gsl_sf_bessel_Knu(localtheta[2], expr)); // Matern Function + j0++; + } + i0++; + } +} + +/******************************************************************************* + * + * core_dcmg_spacetime_matern - TODO. + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] A + * The m-by-n matrix on which to compute the covariance matrix. + * + * @param[in] m + * The number of rows in the tile A. + * + * @param[in] n + * The number of cols in the tile A. + * + * @param[in] m0 + * Global row index of the tile A. + * + * @param[in] n0 + * Global col index of the tile A. + * + * @param[in] l1 + * Location struct of the first input. + * + * @param[in] l2 + * Location struct of the second input. + * + * @param[in] localtheta + * Parameter vector that is used to generate the output covariance matrix. + * + * localtheta[0] is the variance of Z. + * localtheta[1] is the range parameter in space of Z. + * localtheta[2] is the smoothness parameter in space of Z. + * localtheta[3] is the range parameter in time of Z. + * localtheta[4] is the smoothness parameter in time of Z. + * localtheta[5] is the space-time nonseparability parameter of Z. + * localtheta[6] is an auxilliary parameter in time of Z. + * + * localtheta[6] is an auxilliary parameter in time of Z. + * + * Reference: Equation (16) of Tilmann Gneiting (2002) Nonseparable, + * Stationary Covariance Functions for Space–Time Data, + * Journal of the American Statistical Association, 97:458, 590-600, DOI: 10.1198/016214502760047113 + * + * @param[in] distance_metric + * Distance metric "euclidean Distance (ED) ->0" or "Great Circle Distance (GCD) ->1" + * + ******************************************************************************* + * + * + ******************************************************************************/ +void core_dcmg_spacetime_matern(double* A, int m, int n, + int m0, int n0, location* l1, + location* l2, double* localtheta, int distance_metric) { + + int i, j; + int i0 = m0; + int j0 = n0; + double x0, y0, z0, z1; + double expr = 0.0, expr1 = 0.0, expr2 = 0.0, expr3 = 0.0, expr4 = 0.0; + double con = 0.0; + double sigma_square = localtheta[0]; + + con = pow(2, (localtheta[2] - 1)) * tgamma(localtheta[2]); + con = 1.0 / con; + con = sigma_square * con; + + for (i = 0; i < m; i++) { + j0 = n0; + z0 = l1->z[i0]; + for (j = 0; j < n; j++) { + z1 = l2->z[j0]; + + expr = calculateDistance(l1, l2, i0, j0, distance_metric, 1) / localtheta[1]; + expr2 = pow(pow(sqrt(pow(z0 - z1, 2)), 2 * localtheta[4]) / localtheta[3] + 1.0, localtheta[5] / 2.0); + expr3 = expr / expr2; + expr4 = pow(pow(sqrt(pow(z0 - z1, 2)), 2 * localtheta[4]) / localtheta[3] + 1.0, + localtheta[5] + localtheta[6]); + + if (expr == 0) + A[i + j * m] = sigma_square / expr4 /*+ 1e-4*/; + else + A[i + j * m] = con * pow(expr3, localtheta[2]) + * gsl_sf_bessel_Knu(localtheta[2], expr3) / expr4; // Matern Function + j0++; + } + i0++; + } +} + +/***************************************************************************** + * + * core_dcmg_spacetime_bivariate_parsimonious - TODO + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] A + * The m-by-n matrix on which to compute the covariance matrix. + * + * @param[in] m + * The number of rows in the tile A. + * + * @param[in] n + * The number of cols in the tile A. + * + * @param[in] m0 + * Global row index of the tile A. + * + * @param[in] n0 + * Global col index of the tile A. + * + * @param[in] l1 + * Location struct of the first input. + * + * @param[in] l2 + * Location struct of the second input. + * + * @param[in] localtheta + * Parameter vector that is used to generate the output covariance matrix. + * + * @param[in] distance_metric + * Distance metric "euclidean Distance (ED) ->0" or "Great Circle Distance (GCD) ->1" + * + *******************************************************************************/ +void core_dcmg_spacetime_bivariate_parsimonious(double* A, int m, int n, + int m0, int n0, location* l1, + location* l2, double* localtheta, int distance_metric) { + + int i, j; + int i0 = m0; + int j0 = n0; + double x0, y0, z0, z1; + double expr = 0.0, expr1 = 0.0, expr2 = 0.0, expr3 = 0.0, expr4 = 0.0; + double con1 = 0.0, con2 = 0.0, con12 = 0.0, rho = 0.0, nu12 = 0.0; + + con1 = pow(2, (localtheta[3] - 1)) * tgamma(localtheta[3]); + con1 = 1.0 / con1; + con1 = localtheta[0] * con1; + + con2 = pow(2, (localtheta[4] - 1)) * tgamma(localtheta[4]); + con2 = 1.0 / con2; + con2 = localtheta[1] * con2; + + //The average + nu12 = 0.5 * (localtheta[3] + localtheta[4]); + + rho = localtheta[5] * sqrt((tgamma(localtheta[3] + 1) * tgamma(localtheta[4] + 1)) / + (tgamma(localtheta[3]) * tgamma(localtheta[4]))) * + tgamma(nu12) / tgamma(nu12 + 1); + + con12 = pow(2, (nu12 - 1)) * tgamma(nu12); + con12 = 1.0 / con12; + con12 = rho * sqrt(localtheta[0] * localtheta[1]) * con12; + + i0 /= 2; + for (i = 0; i < m - 1; i += 2) { + j0 = n0 / 2; + z0 = l1->z[i0]; + + for (j = 0; j < n - 1; j += 2) { + z1 = l2->z[j0]; + + expr = calculateDistance(l1, l2, i0, j0, distance_metric, 1) / (localtheta[2] * 1000); + expr2 = pow(pow(sqrt(pow(z0 - z1, 2)), 2 * localtheta[7]) / localtheta[6] + 1, localtheta[8] / 2); + expr3 = expr / expr2; + expr4 = pow(pow(sqrt(pow(z0 - z1, 2)), 2 * localtheta[7]) / localtheta[6] + 1, + localtheta[8] + localtheta[9]); + + if (expr == 0) { + A[i + j * m] = localtheta[0] / expr4; + A[(i + 1) + j * m] = A[i + (j + 1) * m] = rho + * sqrt(localtheta[0] * localtheta[1]) / expr4; + A[(i + 1) + (j + 1) * m] = localtheta[1] / expr4; + } else { + A[i + j * m] = con1 * pow(expr3, localtheta[3]) + * gsl_sf_bessel_Knu(localtheta[3], expr3) / expr4; + A[(i + 1) + j * m] = A[i + (j + 1) * m] = con12 * pow(expr3, nu12) + * gsl_sf_bessel_Knu(nu12, expr3) / expr4; + A[(i + 1) + (j + 1) * m] = con2 * pow(expr3, localtheta[4]) + * gsl_sf_bessel_Knu(localtheta[4], expr3) / expr4; + } + j0++; + } + i0++; + } +} + + +/***************************************************************************//** + * + * core_dcmg_bivariate_flexible - Generate covariance matrix A in dense format between two sets of locations (l1, l2) (Flexible Bivariate Matern Kernel). + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] A + * The m-by-n matrix on which to compute the covariance matrix. + * + * @param[in] m + * The number of rows in the tile A. + * + * @param[in] n + * The number of cols in the tile A. + * + * @param[in] m0 + * Global row index of the tile A. + * + * @param[in] n0 + * Global col index of the tile A. + * + * @param[in] l1 + * Location struct of the first input. + * + * @param[in] l2 + * Location struct of the second input. + * + * @param[in] localtheta + * Parameter vector that is used to generate the output covariance matrix. + * + * localtheta[0] is the scale of Z1. + * localtheta[1] is the scale of Z2. + * localtheta[2] is the first latent cross scale parameter; see Delta_B of Remark 1 (c) of Apanasovich et al. (2012). + * localtheta[3] is the second latent cross scale parameter; see B_ij of Remark 1 (c) of Apanasovich et al. (2012). + * localtheta[4] is the smoothness of Z1. + * localtheta[5] is the smoothness of Z2. + * localtheta[6] is the first latent cross smoothness parameter; see Delta_A of Theorem 1 (i) of Apanasovich et al. (2012). + * localtheta[7] is the second latent cross smoothness parameter; see A_ij of Theorem 1 (i) of Apanasovich et al. (2012). + * localtheta[8] is the first latent cross variance parameter; see W_ii of Equation (8) of Apanasovich et al. (2012). + * localtheta[9] is the second latent cross variance parameter; see W_jj of Equation (8) of Apanasovich et al. (2012). + * localtheta[10] is the third latent cross variance parameter; see W_{V,ij} of Equation (8) of Apanasovich et al. (2012). + * + * + * Reference: Tatiyana V. Apanasovich , Marc G. Genton & Ying Sun (2012) A Valid Matérn Class of Cross-Covariance Functions + * for Multivariate Random Fields With Any Number of Components, Journal of the American Statistical Association, + * 107:497, 180-193, DOI: 10.1080/01621459.2011.643197 + * + * @param[in] distance_metric + * Distance metric "euclidean Distance (ED) ->0" or "Great Circle Distance (GCD) ->1" + * + ******************************************************************************* + * + * + ******************************************************************************/ + +void core_dcmg_bivariate_flexible(double* A, int m, int n, + int m0, int n0, location* l1, + location* l2, double* localtheta, int distance_metric) { + + int i, j; + int i0 = m0; + int j0 = n0; + double x0, y0; + double expr1 = 0.0, expr2 = 0.0, expr12 = 0.0; + double con1 = 0.0, con2 = 0.0, con12 = 0.0, scale12 = 0.0, rho = 0.0, nu12 = 0.0, sigma_square11 = 0.0, sigma_square22 = 0.0; + double scale1 = localtheta[0], scale2 = localtheta[1], nu1 = localtheta[4], nu2 = localtheta[5]; + + scale12 = pow(0.5 * (pow(scale1, -2) + pow(scale2, -2)) + localtheta[2] * (1 - localtheta[3]), + -0.5); //Remark 1 (c) of Apanasovich et al. (2012) + + nu12 = 0.5 * (nu1 + nu2) + localtheta[6] * (1 - localtheta[7]); //Theorem 1 (i) of Apanasovich et al. (2012). + + rho = localtheta[8] * localtheta[9] * localtheta[10] * + pow(scale12, 2 * localtheta[6] + (nu1 + nu2)) + * tgamma(0.5 * (nu1 + nu2) + 1) * tgamma(nu12) / + tgamma(nu12 + 1); //Equation (8) of Apanasovich et al. (2012). + + sigma_square11 = localtheta[8] * localtheta[8] * + pow(scale1, 2 * localtheta[6] + nu1 + nu1) * + tgamma(nu1); //Equation (8) of Apanasovich et al. (2012). + + sigma_square22 = localtheta[9] * localtheta[9] * + pow(scale2, 2 * localtheta[6] + nu2 + nu2) * + tgamma(nu2); //Equation (8) of Apanasovich et al. (2012). + + con1 = pow(2, (nu1 - 1)) * tgamma(nu1); + con1 = 1.0 / con1; + con1 = sigma_square11 * con1; + + con2 = pow(2, (nu2 - 1)) * tgamma(nu2); + con2 = 1.0 / con2; + con2 = sigma_square22 * con2; + + con12 = pow(2, (nu12 - 1)) * tgamma(nu12); + con12 = 1.0 / con12; + con12 = rho * con12; + + i0 /= 2; + for (i = 0; i < m; i += 2) { + j0 = n0 / 2; + for (j = 0; j < n; j += 2) { + expr1 = calculateDistance(l1, l2, i0, j0, distance_metric, 0) / scale1; + expr2 = calculateDistance(l1, l2, i0, j0, distance_metric, 0) / scale2; + expr12 = calculateDistance(l1, l2, i0, j0, distance_metric, 0) / scale12; + + if (expr1 == 0) { + A[i + j * m] = localtheta[0]; + A[(i + 1) + j * m] = A[i + (j + 1) * m] = rho; + A[(i + 1) + (j + 1) * m] = localtheta[1]; + } else { + A[i + j * m] = con1 * pow(expr1, nu1) + * gsl_sf_bessel_Knu(nu1, expr1); + A[(i + 1) + j * m] = A[i + (j + 1) * m] = con12 + * pow(expr12, nu12) * gsl_sf_bessel_Knu(nu12, expr12); + A[(i + 1) + (j + 1) * m] = con2 * pow(expr2, nu2) + * gsl_sf_bessel_Knu(nu2, expr2); + } + j0++; + } + i0++; + } +} + + +/***************************************************************************//** + * + * core_dcmg_bivariate_parsimonious - Generate covariance matrix A in dense format between two sets of locations (l1, l2) (Parsimonious Bivariate Matern Kernel). + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] A + * The m-by-n matrix on which to compute the covariance matrix. + * + * @param[in] m + * The number of rows in the tile A. + * + * @param[in] n + * The number of cols in the tile A. + * + * @param[in] m0 + * Global row index of the tile A. + * + * @param[in] n0 + * Global col index of the tile A. + * + * @param[in] l1 + * Location struct of the first input. + * + * @param[in] l2 + * Location struct of the second input. + * + * @param[in] localtheta + * Parameter vector that is used to generate the output covariance matrix. + * + * localtheta[0] is the variance of Z1. + * localtheta[1] is the variance of Z2. + * localtheta[2] is the common scale parameter for Z1 and Z2. + * localtheta[3] is the smoothness of Z1. + * localtheta[4] is the smoothness of Z2. + * localtheta[5] is the correlation parameter of Z1 and Z2. + * + * @param[in] distance_metric + * Distance metric "euclidean Distance (ED) ->0" or "Great Circle Distance (GCD) ->1" + * + ******************************************************************************* + * + * + ******************************************************************************/ +void core_dcmg_bivariate_parsimonious(double* A, int m, int n, + int m0, int n0, location* l1, + location* l2, double* localtheta, int distance_metric) { + + int i, j; + int i0 = m0; + int j0 = n0; + double x0, y0; + double expr = 0.0; + double con1 = 0.0, con2 = 0.0, con12 = 0.0, rho = 0.0, nu12 = 0.0; + + con1 = pow(2, (localtheta[3] - 1)) * tgamma(localtheta[3]); + con1 = 1.0 / con1; + con1 = localtheta[0] * con1; + + con2 = pow(2, (localtheta[4] - 1)) * tgamma(localtheta[4]); + con2 = 1.0 / con2; + con2 = localtheta[1] * con2; + + //The average + nu12 = 0.5 * (localtheta[3] + localtheta[4]); + + rho = localtheta[5] * sqrt((tgamma(localtheta[3] + 1) * tgamma(localtheta[4] + 1)) / + (tgamma(localtheta[3]) * tgamma(localtheta[4]))) * + tgamma(nu12) / tgamma(nu12 + 1); + + + con12 = pow(2, (nu12 - 1)) * tgamma(nu12); + con12 = 1.0 / con12; + con12 = rho * sqrt(localtheta[0] * localtheta[1]) * con12; + + i0 /= 2; + for (i = 0; i < m - 1; i += 2) { + j0 = n0 / 2; + for (j = 0; j < n - 1; j += 2) { + expr = calculateDistance(l1, l2, i0, j0, distance_metric, 0) / localtheta[2]; + + if (expr == 0) { + A[i + j * m] = localtheta[0]; + A[(i + 1) + j * m] = A[i + (j + 1) * m] = rho + * sqrt(localtheta[0] * localtheta[1]); + A[(i + 1) + (j + 1) * m] = localtheta[1]; + } else { + A[i + j * m] = con1 * pow(expr, localtheta[3]) + * gsl_sf_bessel_Knu(localtheta[3], expr); + A[(i + 1) + j * m] = A[i + (j + 1) * m] = con12 * pow(expr, nu12) + * gsl_sf_bessel_Knu(nu12, expr); + A[(i + 1) + (j + 1) * m] = con2 * pow(expr, localtheta[4]) + * gsl_sf_bessel_Knu(localtheta[4], expr); + } + j0++; + } + i0++; + } +} + + +/***************************************************************************//** + * + * core_dcmg_bivariate_parsimonious - Generate covariance matrix A in dense format between two sets of locations (l1, l2) (Parsimonious trivariate Matern Kernel). + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] A + * The m-by-n matrix on which to compute the covariance matrix. + * + * @param[in] m + * The number of rows in the tile A. + * + * @param[in] n + * The number of cols in the tile A. + * + * @param[in] m0 + * Global row index of the tile A. + * + * @param[in] n0 + * Global col index of the tile A. + * + * @param[in] l1 + * Location struct of the first input. + * + * @param[in] l2 + * Location struct of the second input. + * +* @param[in] localtheta + * Parameter vector that is used to generate the output covariance matrix. + * + * localtheta[0] is the variance of Z1. + * localtheta[1] is the variance of Z2. + * localtheta[2] is the common scale parameter for Z1 and Z2. + * localtheta[3] is the smoothness of Z1. + * localtheta[4] is the smoothness of Z2. + * localtheta[5] is the correlation parameter of Z1 and Z2. + * + * @param[in] distance_metric + * Distance metric "euclidean Distance (ED) ->0" or "Great Circle Distance (GCD) ->1" + * + ******************************************************************************* + * + * + ******************************************************************************/ +void core_dcmg_trivariate_parsimonious(double* A, int m, int n, + int m0, int n0, location* l1, + location* l2, double* localtheta, int distance_metric) { + + int i, j; + int i0 = m0; + int j0 = n0; + double x0, y0; + double expr = 0.0; + double con1 = 0.0, con2 = 0.0, con3 = 0.0, con12 = 0.0, + con13 = 0.0, con23 = 0.0, rho12 = 0.0, rho13 = 0.0, rho23 = 0.0, nu12 = 0.0, nu13 = 0.0, nu23 = 0.0; + + con1 = pow(2, (localtheta[4] - 1)) * tgamma(localtheta[4]); + con1 = 1.0 / con1; + con1 = localtheta[0] * con1; + + con2 = pow(2, (localtheta[5] - 1)) * tgamma(localtheta[5]); + con2 = 1.0 / con2; + con2 = localtheta[1] * con2; + + con3 = pow(2, (localtheta[6] - 1)) * tgamma(localtheta[6]); + con3 = 1.0 / con3; + con3 = localtheta[2] * con3; + + //The average + nu12 = 0.5 * (localtheta[4] + localtheta[5]); + nu13 = 0.5 * (localtheta[4] + localtheta[6]); + nu23 = 0.5 * (localtheta[5] + localtheta[6]); + + rho12 = localtheta[7] * sqrt((tgamma(localtheta[4] + 1) * tgamma(localtheta[5] + 1)) / + (tgamma(localtheta[4]) * tgamma(localtheta[5]))) * + tgamma(nu12) / tgamma(nu12 + 1); + + rho13 = localtheta[8] * sqrt((tgamma(localtheta[4] + 1) * tgamma(localtheta[6] + 1)) / + (tgamma(localtheta[4]) * tgamma(localtheta[6]))) * + tgamma(nu13) / tgamma(nu13 + 1); + + rho23 = localtheta[9] * sqrt((tgamma(localtheta[5] + 1) * tgamma(localtheta[6] + 1)) / + (tgamma(localtheta[5]) * tgamma(localtheta[6]))) * + tgamma(nu23) / tgamma(nu23 + 1); + + con12 = pow(2, (nu12 - 1)) * tgamma(nu12); + con12 = 1.0 / con12; + con12 = rho12 * sqrt(localtheta[0] * localtheta[1]) * con12; + + con13 = pow(2, (nu13 - 1)) * tgamma(nu13); + con13 = 1.0 / con13; + con13 = rho13 * sqrt(localtheta[0] * localtheta[2]) * con13; + + con23 = pow(2, (nu23 - 1)) * tgamma(nu23); + con23 = 1.0 / con23; + con23 = rho23 * sqrt(localtheta[1] * localtheta[2]) * con23; + + i0 /= 3; + for (i = 0; i < m - 1; i += 3) { + j0 = n0 / 3; + for (j = 0; j < n - 1; j += 3) { + expr = calculateDistance(l1, l2, i0, j0, distance_metric, 0) / localtheta[3]; + + if (expr == 0) { + A[i + j * m] = localtheta[0]; + + A[(i + 1) + j * m] = A[i + (j + 1) * m] = rho12 * sqrt(localtheta[0] * localtheta[1]); + A[(i + 2) + j * m] = A[i + (j + 2) * m] = rho13 * sqrt(localtheta[0] * localtheta[2]); + + A[(i + 1) + (j + 1) * m] = localtheta[1]; + + A[(i + 1) + (j + 2) * m] = A[(i + 2) + (j + 1) * m] = rho23 * sqrt(localtheta[1] * localtheta[2]); + + A[(i + 2) + (j + 2) * m] = localtheta[2]; + } else { + A[i + j * m] = con1 * pow(expr, localtheta[4]) * gsl_sf_bessel_Knu(localtheta[4], expr); + + A[(i + 1) + j * m] = A[i + (j + 1) * m] = con12 * pow(expr, nu12) * gsl_sf_bessel_Knu(nu12, expr); + A[(i + 2) + j * m] = A[i + (j + 2) * m] = con13 * pow(expr, nu13) * gsl_sf_bessel_Knu(nu13, expr); + + A[(i + 1) + (j + 1) * m] = con2 * pow(expr, localtheta[5]) * gsl_sf_bessel_Knu(localtheta[5], expr); + + A[(i + 1) + (j + 2) * m] = A[(i + 2) + (j + 1) * m] = + con23 * pow(expr, nu23) * gsl_sf_bessel_Knu(nu23, expr); + + A[(i + 2) + (j + 2) * m] = con3 * pow(expr, localtheta[6]) * gsl_sf_bessel_Knu(localtheta[6], expr); + } + j0++; + } + i0++; + } +} + +/***************************************************************************//** + * + * core_dcmg_pow_exp - Generate covariance matrix A in dense format between two sets of locations (l1, l2) (Power exp). + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] A + * The m-by-n matrix on which to compute the covariance matrix. + * + * @param[in] m + * The number of rows in the tile A. + * + * @param[in] n + * The number of cols in the tile A. + * + * @param[in] m0 + * Global row index of the tile A. + * + * @param[in] n0 + * Global col index of the tile A. + * + * @param[in] l1 + * Location struct of the first input. + * + * @param[in] l2 + * Location struct of the second input. + * + * @param[in] localtheta + * Parameter vector that is used to generate the output covariance matrix. + * + * @param[in] distance_metric + * Distance metric "euclidean Distance (ED) ->0" or "Great Circle Distance (GCD) ->1" + * + ******************************************************************************* + * + * + ******************************************************************************/ +void core_dcmg_pow_exp(double* A, int m, int n, + int m0, int n0, + location* l1, location* l2, + double* localtheta, int distance_metric) { + + //Matern kernel + //localtheta[0] --> variance (sigma), + //localtheta[1] --> range(beta) + //localtheta[2] --> smoothness (nu) + + //Power exp kernel + //localtheta[0] --> variance (sigma), + //localtheta[1] --> range(beta) + //localtheta[2] --> range(delta) 0 < delta< 2 + int i, j; + int i0 = m0; + int j0 = n0; + double x0, y0, z0; + double expr = 0.0; + double expr1 = 0.0; + double sigma_square = localtheta[0];// * localtheta[0]; + + for (i = 0; i < m; i++) { + j0 = n0; + for (j = 0; j < n; j++) { + expr = calculateDistance(l1, l2, i0, j0, distance_metric, 0); + expr1 = pow(expr, localtheta[2]); + + + if (expr == 0) + A[i + j * m] = sigma_square /*+ 1e-4*/; + else + A[i + j * m] = sigma_square * exp(-(expr1 / localtheta[1])); // power-exp kernel + j0++; + } + i0++; + } +} + + +/***************************************************************************//** + * + * core_scmg_pow_exp - Calculate covariance matrix A - single precision. + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] A + * The m-by-n matrix on which to compute the covariance matrix. + * + * @param[in] m + * The number of rows in the tile A. + * + * @param[in] n + * The number of cols in the tile A. + * + * @param[in] m0 + * global row index of the tile A. + * + * @param[in] n0 + * global col index of the tile A. + * + * @param[in] l1 + * location struct of the first input. + * + * @param[in] l2 + * location struct of the second input. + * + * @param[in] localtheta + * parameter vector that should be used to generate the output covariance matrix + * + * @param[in] distance_metric + * distance metric "euclidean Distance (ED"" or "Great Circle Distance (GCD)" + * + ******************************************************************************* + * + * + ******************************************************************************/ +void core_scmg_pow_exp(float *A, int m, int n, + int m0, int n0, + location* l1, location* l2, + double* localtheta, int distance_metric) { + + int i, j; + int i0 = m0; + int j0 = n0; + float x0, y0, z0; + float expr = 0.0; + float expr1 = 0.0; + float sigma_square = localtheta[0];// * localtheta[0]; + + + for (i = 0; i < m; i++) { + j0 = n0; + for (j = 0; j < n; j++) { + expr = calculateDistance(l1, l2, + i0, j0, distance_metric, 0); + expr1 = pow(expr, localtheta[2]); + if (expr == 0) + A[i + j * m] = sigma_square /*+ 1e-4*/; + else + A[i + j * m] = sigma_square * exp(-(expr1 / localtheta[1])); // power-exp kernel + j0++; + } + i0++; + } + +} + + +/***************************************************************************//** + * + * core_sdcmg_pow_exp - Calculate covariance matrix A - single precision. + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] A + * The m-by-n matrix on which to compute the covariance matrix. + * + * @param[in] m + * The number of rows in the tile A. + * + * @param[in] n + * The number of cols in the tile A. + * + * @param[in] m0 + * global row index of the tile A. + * + * @param[in] n0 + * global col index of the tile A. + * + * @param[in] l1 + * location struct of the first input. + * + * @param[in] l2 + * location struct of the second input. + * + * @param[in] localtheta + * parameter vector that should be used to generate the output covariance matrix + * + * @param[in] distance_metric + * distance metric "euclidean Distance (ED"" or "Great Circle Distance (GCD)" + * + ******************************************************************************* + * + * + ******************************************************************************/ + +void core_sdcmg_pow_exp(double* A, int m, int n, + int m0, int n0, + location* l1, location* l2, + double* localtheta, int distance_metric) { + + int i, j; + int i0 = m0; + int j0 = n0; + double x0, y0, z0; + double expr = 0.0; + double expr1 = 0.0; + double sigma_square = localtheta[0];// * localtheta[0]; + + for (i = 0; i < m; i++) { + j0 = n0; + for (j = 0; j < n; j++) { + expr = calculateDistance(l1, l2, i0, j0, distance_metric, 0); + expr1 = pow(expr, localtheta[2]); + if (expr == 0) + A[i + j * m] = (float) (sigma_square /*+ 1e-4*/); + else + A[i + j * m] = (float) (sigma_square * exp(-(expr1 / localtheta[1]))); // power-exp kernel + j0++; + } + i0++; + } +} + +/***************************************************************************//** + * + * core_dcmg_non_stat - Generate covariance matrix A in dense format between two sets of locations (l1, l2) (Non-Stationary Matern Kernel). + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] A + * The m-by-n matrix on which to compute the covariance matrix. + * + * @param[in] m + * The number of rows in the tile A. + * + * @param[in] n + * The number of cols in the tile A. + * + * @param[in] m0 + * Global row index of the tile A. + * + * @param[in] n0 + * Global col index of the tile A. + * + * @param[in] l1 + * Location struct of the first input. + * + * @param[in] l2 + * Location struct of the second input. + * + * @param[in] localtheta + * Parameter vector that is used to generate the output covariance matrix. + * + * @param[in] distance_metric + * Distance metric "euclidean Distance (ED) ->0" or "Great Circle Distance (GCD) ->1" + * + ******************************************************************************* + * + * + ******************************************************************************/ +void core_dcmg_non_stat(double* A, int m, int n, int m0, int n0, location* l1, location* l2, double* localtheta, + int distance_metric) { + + double l1x, l1y, l2x, l2y; + + double expr = 0.0; + double con, sigma_square, beta, nu; + double a, b, c, d, e, f, g, h, ti, tj; + + a = localtheta[0]; + b = localtheta[1]; + d = localtheta[2]; + e = localtheta[3]; + f = localtheta[4]; + g = localtheta[5]; + h = localtheta[6]; + ti = localtheta[7]; + tj = 0; + + double nu_arr_1[m]; + double sigma_arr_1[m]; + double lambda_arr_1[m]; + double nu_arr_2[n]; + double sigma_arr_2[n]; + double lambda_arr_2[n]; + for (int i = 0; i < m; i++) { + l1x = l1->x[i + m0]; + l1y = l1->y[i + m0]; + nu_arr_1[i] = neu(l1x, l1y, g, h, ti); + sigma_arr_1[i] = sigma(l1x, l1y, d, e, f); + lambda_arr_1[i] = lambda(l1x, l1y, a, b); + } + + for (int j = 0; j < n; j++) { + l2x = l2->x[j + n0]; + l2y = l2->y[j + n0]; + + nu_arr_2[j] = neu(l2x, l2y, g, h, ti); + sigma_arr_2[j] = sigma(l2x, l2y, d, e, f); + lambda_arr_2[j] = lambda(l2x, l2y, a, b); + } + + for (int i = 0; i < m; i++) { + l1x = l1->x[i + m0]; + l1y = l1->y[i + m0]; + + for (int j = 0; j < n; j++) { + l2x = l2->x[j + n0]; + l2y = l2->y[j + n0]; + + double term1 = (sigma_arr_1[i]) * (sigma_arr_2[j]) * sqrt(lambda_arr_1[i]) * sqrt(lambda_arr_2[j]); + double term2 = 2 / ((lambda_arr_1[i]) + (lambda_arr_2[j])); + double neuij = ((nu_arr_1[i]) + (nu_arr_2[j])) / 2; + double Qij = calculateMahalanobisDistanceSquared(l1x, l1y, l2x, l2y, term2, 0, 0, term2); + double prod1 = 2 * sqrt(neuij * Qij); + double term3 = matern_util(1, neuij, prod1); + A[i + j * m] = term1 * term2 * term3; + } + } +} diff --git a/exageostat_exact/cpu_core/compute/core_zcmg_non_stat.c b/exageostat_exact/cpu_core/compute/core_zcmg_non_stat.c new file mode 100644 index 0000000..b1bbb0b --- /dev/null +++ b/exageostat_exact/cpu_core/compute/core_zcmg_non_stat.c @@ -0,0 +1,226 @@ +/** + * + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology + * All rights reserved. + * + * ExaGeoStat is a software package provided by KAUST + **/ +/** + * + * @file core_dcmg.c + * + * Generate covariance matrix of a set of locations in 2D using first order non-statinary Matern kernel. + * + * @version 1.2.0 + * + * @author Sameh Abdulah + * @date 2022-11-09 + * + **/ +#include "../include/exageostatcore.h" + +// This function converts decimal degrees to radians +static double deg2rad(double deg) { + return (deg * PI / 180); +} + +// This function converts radians to decimal degrees +static double rad2deg(double rad) { + return (rad * 180 / PI); +} + +/** + * Returns the distance between two points on the Earth. + * Direct translation from http://en.wikipedia.org/wiki/Haversine_formula + * @param lat1d Latitude of the first point in degrees + * @param lon1d Longitude of the first point in degrees + * @param lat2d Latitude of the second point in degrees + * @param lon2d Longitude of the second point in degrees + * @return The distance between the two points in kilometers + */ +static double distanceEarth(double lat1d, double lon1d, double lat2d, double lon2d) { + double lat1r, lon1r, lat2r, lon2r, u, v; + lat1r = deg2rad(lat1d); + lon1r = deg2rad(lon1d); + lat2r = deg2rad(lat2d); + lon2r = deg2rad(lon2d); + u = sin((lat2r - lat1r) / 2); + v = sin((lon2r - lon1r) / 2); + return 2.0 * earthRadiusKm * asin(sqrt(u * u + cos(lat1r) * cos(lat2r) * v * v)); +} + +static double calculateDistance(double x1, double y1, double x2, double y2, int distance_metric) { + + if (distance_metric == 1) + return distanceEarth(x1, y1, x2, y2); + return sqrt(pow((x2 - x1), 2) + pow((y2 - y1), 2)); +} + +/***************************************************************************//** + * + * core_dcmg - Generate covariance matrix A in dense format between two sets of locations (l1, l2) (Matern Kernel). + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] A + * The m-by-n matrix on which to compute the covariance matrix. + * + * @param[in] m + * The number of rows in the tile A. + * + * @param[in] n + * The number of cols in the tile A. + * + * @param[in] m0 + * Global row index of the tile A. + * + * @param[in] n0 + * Global col index of the tile A. + * + * @param[in] l1 + * Location struct of the first input. + * + * @param[in] l2 + * Location struct of the second input. + * + * @param[in] localtheta + * Parameter vector that is used to generate the output covariance matrix. + * + * @param[in] distance_metric + * Distance metric "euclidean Distance (ED) ->0" or "Great Circle Distance (GCD) ->1" + * + ******************************************************************************* + * + * + ******************************************************************************/ +void core_dcmg_nono_stat(double* A, int m, int n, int m0, int n0, location *l1, location *l2, location *lm, + double* localtheta, int distance_metric) { + + int i, j; + double l1x, l1y, l2x, l2y, lmx, lmy; + double theta_0i, theta_0j, theta_1i, theta_1j, theta_2i, theta_2j; + double diffx, diffy; + double expr = 0.0; + double con, sigma_square, beta, nu; + + for (j = 0; j < n; j++) { + l1x = l1->x[j + n0]; + l1y = l1->y[j + n0]; + diffx = abs(l1x - lmx); + diffy = abs(l1y - lmy); + theta_0i = localtheta[0] + (localtheta[1] * diffx) + (localtheta[2] * diffy); + theta_1i = localtheta[3] + (localtheta[4] * diffx) + (localtheta[5] * diffy); + theta_2i = localtheta[6] + (localtheta[7] * diffx) + (localtheta[8] * diffy); + + for (i = 0; i < m; i++) { + l2x = l2->x[i + m0]; + l2y = l2->y[i + m0]; + diffx = abs(l2x - lmx); + diffy = abs(l2y - lmy); + theta_0j = localtheta[0] + (localtheta[1] * diffx) + (localtheta[2] * diffy); + theta_1j = localtheta[3] + (localtheta[4] * diffx) + (localtheta[5] * diffy); + theta_2j = localtheta[6] + (localtheta[7] * diffx) + (localtheta[8] * diffy); + sigma_square = (theta_0i + theta_0j) / 2; + beta = (theta_1i + theta_1j) / 2; + nu = (theta_2i + theta_2j) / 2; + con = pow(2, (nu - 1)) * tgamma(nu); + con = 1.0 / con; + con = sigma_square * con; + //MLE calculation + expr = calculateDistance(l1x, l1y, l2x, l2y, distance_metric) / beta; + if (expr == 0) + A[i + j * m] = sigma_square; /* + 1e-4*/ + else + A[i + j * m] = con * pow(expr, nu) * gsl_sf_bessel_Knu(nu, expr); // Matern Function + } + } +} + +void core_sdcmg_nono_stat(double* A, int m, int n, int m0, int n0, location *l1, location *l2, location *lm, + double* localtheta, int distance_metric) { + + int i, j; + double l1x, l1y, l2x, l2y, lmx, lmy; + double theta_0i, theta_0j, theta_1i, theta_1j, theta_2i, theta_2j; + double diffx, diffy; + double expr = 0.0; + double con, sigma_square, beta, nu; + + for (j = 0; j < n; j++) { + l1x = l1->x[j + n0]; + l1y = l1->y[j + n0]; + diffx = abs(l1x - lmx); + diffy = abs(l1y - lmy); + theta_0i = localtheta[0] + (localtheta[1] * diffx) + (localtheta[2] * diffy); + theta_1i = localtheta[3] + (localtheta[4] * diffx) + (localtheta[5] * diffy); + theta_2i = localtheta[6] + (localtheta[7] * diffx) + (localtheta[8] * diffy); + + for (i = 0; i < m; i++) { + l2x = l2->x[i + m0]; + l2y = l2->y[i + m0]; + diffx = abs(l2x - lmx); + diffy = abs(l2y - lmy); + theta_0j = localtheta[0] + (localtheta[1] * diffx) + (localtheta[2] * diffy); + theta_1j = localtheta[3] + (localtheta[4] * diffx) + (localtheta[5] * diffy); + theta_2j = localtheta[6] + (localtheta[7] * diffx) + (localtheta[8] * diffy); + sigma_square = (theta_0i + theta_0j) / 2; + beta = (theta_1i + theta_1j) / 2; + nu = (theta_2i + theta_2j) / 2; + con = pow(2, (nu - 1)) * tgamma(nu); + con = 1.0 / con; + con = sigma_square * con; + //MLE calculation + expr = calculateDistance(l1x, l1y, l2x, l2y, distance_metric) / beta; + if (expr == 0) + A[i + j * m] = sigma_square; /* + 1e-4*/ + else + A[i + j * m] = con * pow(expr, nu) * gsl_sf_bessel_Knu(localtheta[2], expr); // Matern Function + + } + } +} + +void core_scmg_nono_stat(float *A, int m, int n, int m0, int n0, location *l1, location *l2, location *lm, + double* localtheta, int distance_metric) { + + int i, j; + double l1x, l1y, l2x, l2y, lmx, lmy; + double theta_0i, theta_0j, theta_1i, theta_1j, theta_2i, theta_2j; + double diffx, diffy; + double expr = 0.0; + double con, sigma_square, beta, nu; + + for (j = 0; j < n; j++) { + l1x = l1->x[j + n0]; + l1y = l1->y[j + n0]; + diffx = abs(l1x - lmx); + diffy = abs(l1y - lmy); + theta_0i = localtheta[0] + (localtheta[1] * diffx) + (localtheta[2] * diffy); + theta_1i = localtheta[3] + (localtheta[4] * diffx) + (localtheta[5] * diffy); + theta_2i = localtheta[6] + (localtheta[7] * diffx) + (localtheta[8] * diffy); + + for (i = 0; i < m; i++) { + l2x = l2->x[i + m0]; + l2y = l2->y[i + m0]; + diffx = abs(l2x - lmx); + diffy = abs(l2y - lmy); + theta_0j = localtheta[0] + (localtheta[1] * diffx) + (localtheta[2] * diffy); + theta_1j = localtheta[3] + (localtheta[4] * diffx) + (localtheta[5] * diffy); + theta_2j = localtheta[6] + (localtheta[7] * diffx) + (localtheta[8] * diffy); + sigma_square = (theta_0i + theta_0j) / 2; + beta = (theta_1i + theta_1j) / 2; + nu = (theta_2i + theta_2j) / 2; + con = pow(2, (nu - 1)) * tgamma(nu); + con = 1.0 / con; + con = sigma_square * con; + //MLE calculation + expr = calculateDistance(l1x, l1y, l2x, l2y, distance_metric) / beta; + if (expr == 0) + A[i + j * m] = (float) sigma_square; /* + 1e-4*/ + else + A[i + j * m] = (float) (con * pow(expr, nu) * + gsl_sf_bessel_Knu(localtheta[2], expr)); // Matern Function + } + } +} \ No newline at end of file diff --git a/exageostat_exact/core/compute/core_zcmg_nuggets.c b/exageostat_exact/cpu_core/compute/core_zcmg_nuggets.c similarity index 74% rename from exageostat_exact/core/compute/core_zcmg_nuggets.c rename to exageostat_exact/cpu_core/compute/core_zcmg_nuggets.c index b59b80d..188291e 100644 --- a/exageostat_exact/core/compute/core_zcmg_nuggets.c +++ b/exageostat_exact/cpu_core/compute/core_zcmg_nuggets.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,10 +11,10 @@ * * Generate covariance matrix of a set of locations in 2D using Matern kernel. * - * @version 1.1.0 + * @version 1.2.0 * @author Mary Lai Salvana * @author Sameh Abdulah - * @date 2020-05-05 + * @date 2022-11-09 * **/ #include "../include/exageostatcore.h" @@ -23,10 +23,12 @@ static double deg2rad(double deg) { return (deg * PI / 180); } + // This function converts radians to decimal degrees static double rad2deg(double rad) { return (rad * 180 / PI); } + /** * Returns the distance between two points on the Earth. * Direct translation from http://en.wikipedia.org/wiki/Haversine_formula @@ -42,28 +44,28 @@ static double distanceEarth(double lat1d, double lon1d, double lat2d, double lon lon1r = deg2rad(lon1d); lat2r = deg2rad(lat2d); lon2r = deg2rad(lon2d); - u = sin((lat2r - lat1r)/2); - v = sin((lon2r - lon1r)/2); + u = sin((lat2r - lat1r) / 2); + v = sin((lon2r - lon1r) / 2); return 2.0 * earthRadiusKm * asin(sqrt(u * u + cos(lat1r) * cos(lat2r) * v * v)); } static double calculateDistance(double x1, double y1, double x2, double y2, int distance_metric) { - if(distance_metric == 1) + if (distance_metric == 1) return distanceEarth(x1, y1, x2, y2); - return sqrt(pow((x2 - x1), 2) + pow((y2 - y1), 2)); + return sqrt(pow((x2 - x1), 2) + pow((y2 - y1), 2)); } static double calculateDistance3d(double x1, double y1, double z1, - double x2, double y2, double z2, int distance_metric) { + double x2, double y2, double z2, int distance_metric) { - if(distance_metric == 1) - { + if (distance_metric == 1) { printf("Great Circle (GC) distance is only valid for 2d\n"); exit(0); } - return sqrt(pow((x2 - x1), 2) + pow((y2 - y1), 2) + pow((z2 - z1), 2)); + return sqrt(pow((x2 - x1), 2) + pow((y2 - y1), 2) + pow((z2 - z1), 2)); } + /***************************************************************************//** * * core_dcmg_nuggets - Generate covariance matrix A in dense format between two sets of locations (l1, l2) (Matern Kernel). @@ -102,9 +104,9 @@ static double calculateDistance3d(double x1, double y1, double z1, * * ******************************************************************************/ -void core_dcmg_nuggets (double *A, int m, int n, int m0, int n0, location *l1, location *l2, double *localtheta, int distance_metric) { +void core_dcmg_nuggets(double* A, int m, int n, int m0, int n0, location *l1, location *l2, double* localtheta, + int distance_metric) { - // printf("%f, %f, %f, %f\n", localtheta[0], localtheta[1], localtheta[2], localtheta[3]); int i, j; int i0 = m0; int j0 = n0; @@ -113,52 +115,46 @@ void core_dcmg_nuggets (double *A, int m, int n, int m0, int n0, location *l1, double con = 0.0; double sigma_square = localtheta[0];// * localtheta[0]; - con = pow(2,(localtheta[2]-1)) * tgamma(localtheta[2]); - con = 1.0/con; + con = pow(2, (localtheta[2] - 1)) * tgamma(localtheta[2]); + con = 1.0 / con; con = sigma_square * con; - if(l1->z == NULL || l2->z == NULL ) - { + if (l1->z == NULL || l2->z == NULL) { for (i = 0; i < m; i++) { j0 = n0; x0 = l1->x[i0]; y0 = l1->y[i0]; for (j = 0; j < n; j++) { - expr = calculateDistance(x0, y0, l2->x[j0], l2->y[j0], distance_metric)/localtheta[1]; - if(expr == 0) + expr = calculateDistance(x0, y0, l2->x[j0], l2->y[j0], distance_metric) / localtheta[1]; + if (expr == 0) A[i + j * m] = sigma_square + localtheta[3]; else - A[i + j * m] = con*pow(expr, localtheta[2])*gsl_sf_bessel_Knu(localtheta[2],expr); // Matern Function + A[i + j * m] = + con * pow(expr, localtheta[2]) * gsl_sf_bessel_Knu(localtheta[2], expr); // Matern Function j0++; } i0++; } - } - - else - { + } else { for (i = 0; i < m; i++) { j0 = n0; x0 = l1->x[i0]; y0 = l1->y[i0]; z0 = l1->z[i0]; for (j = 0; j < n; j++) { - expr = calculateDistance3d(x0, y0, z0, - l2->x[j0], l2->y[j0], l2->z[j0], distance_metric); - if(expr == 0) + expr = calculateDistance3d(x0, y0, z0, + l2->x[j0], l2->y[j0], l2->z[j0], distance_metric); + if (expr == 0) A[i + j * m] = sigma_square + localtheta[3]; else - A[i + j * m] = con*pow(expr, localtheta[2])*gsl_sf_bessel_Knu(localtheta[2],expr); // Matern Function + A[i + j * m] = + con * pow(expr, localtheta[2]) * gsl_sf_bessel_Knu(localtheta[2], expr); // Matern Function j0++; } i0++; } - - - } } - /***************************************************************************//** * * core_scmg_nuggets - Calculate covariance matrix A - single precision. @@ -197,7 +193,8 @@ void core_dcmg_nuggets (double *A, int m, int n, int m0, int n0, location *l1, * * ******************************************************************************/ -void core_scmg_nuggets (float *A, int m, int n, int m0, int n0, location *l1, location *l2, double *localtheta, int distance_metric) { +void core_scmg_nuggets(float *A, int m, int n, int m0, int n0, location *l1, location *l2, double* localtheta, + int distance_metric) { int i, j; int i0 = m0; @@ -207,8 +204,8 @@ void core_scmg_nuggets (float *A, int m, int n, int m0, int n0, location *l1, l float con = 0.0; float sigma_square = localtheta[0];// * localtheta[0]; - con = pow(2,(localtheta[2]-1)) * tgamma(localtheta[2]); - con = 1.0/con; + con = pow(2, (localtheta[2] - 1)) * tgamma(localtheta[2]); + con = 1.0 / con; con = sigma_square * con; for (i = 0; i < m; i++) { @@ -216,24 +213,20 @@ void core_scmg_nuggets (float *A, int m, int n, int m0, int n0, location *l1, l x0 = l1->x[i0]; y0 = l1->y[i0]; for (j = 0; j < n; j++) { - expr = calculateDistance(x0, y0, l2->x[j0], l2->y[j0], distance_metric)/localtheta[1]; - if(expr == 0) + expr = calculateDistance(x0, y0, l2->x[j0], l2->y[j0], distance_metric) / localtheta[1]; + if (expr == 0) A[i + j * m] = sigma_square + localtheta[3]; else - A[i + j * m] = con*pow(expr, localtheta[2])*gsl_sf_bessel_Knu(localtheta[2],expr); // Matern Function + A[i + j * m] = + con * pow(expr, localtheta[2]) * gsl_sf_bessel_Knu(localtheta[2], expr); // Matern Function j0++; } i0++; } } - - - - - - -void core_sdcmg_nuggets (double *A, int m, int n, int m0, int n0, location *l1, location *l2, double *localtheta, int distance_metric) { +void core_sdcmg_nuggets(double* A, int m, int n, int m0, int n0, location *l1, location *l2, double* localtheta, + int distance_metric) { int i, j; int i0 = m0; @@ -243,8 +236,8 @@ void core_sdcmg_nuggets (double *A, int m, int n, int m0, int n0, location *l1, double con = 0.0; double sigma_square = localtheta[0];// * localtheta[0]; - con = pow(2,(localtheta[2]-1)) * tgamma(localtheta[2]); - con = 1.0/con; + con = pow(2, (localtheta[2] - 1)) * tgamma(localtheta[2]); + con = 1.0 / con; con = sigma_square * con; for (i = 0; i < m; i++) { @@ -252,23 +245,18 @@ void core_sdcmg_nuggets (double *A, int m, int n, int m0, int n0, location *l1, x0 = l1->x[i0]; y0 = l1->y[i0]; for (j = 0; j < n; j++) { - expr = calculateDistance(x0, y0, l2->x[j0], l2->y[j0], distance_metric)/localtheta[1]; - if(expr == 0) - A[i + j * m] = (float)(sigma_square +localtheta[3]); + expr = calculateDistance(x0, y0, l2->x[j0], l2->y[j0], distance_metric) / localtheta[1]; + if (expr == 0) + A[i + j * m] = (float) (sigma_square + localtheta[3]); else - A[i + j * m] = (float)(con*pow(expr, localtheta[2])*gsl_sf_bessel_Knu(localtheta[2],expr)); // Matern Function + A[i + j * m] = (float) (con * pow(expr, localtheta[2]) * + gsl_sf_bessel_Knu(localtheta[2], expr)); // Matern Function j0++; } i0++; } } - - - - - - /***************************************************************************//** * * core_dcmg_nuggets_pow_exp - Generate covariance matrix A in dense format between two sets of locations (l1, l2) (Power exp). @@ -307,52 +295,37 @@ void core_sdcmg_nuggets (double *A, int m, int n, int m0, int n0, location *l1, * * ******************************************************************************/ -void core_dcmg_nuggets_pow_exp (double *A, int m, int n, - int m0, int n0, - location *l1, location *l2, - double *localtheta, int distance_metric) { +void core_dcmg_nuggets_pow_exp(double* A, int m, int n, + int m0, int n0, + location *l1, location *l2, + double* localtheta, int distance_metric) { - //Matern kernel - //localtheta[0] --> variance (sigma), - //localtheta[1] --> range(beta) - //localtheta[2] --> smoothness (nu) - - //Power exp kernel - //localtheta[0] --> variance (sigma), - //localtheta[1] --> range(beta) - //localtheta[2] --> range(delta) 0 < delta< 2 int i, j; int i0 = m0; int j0 = n0; double x0, y0; - double expr = 0.0; + double expr = 0.0; double expr1 = 0.0; double sigma_square = localtheta[0];// * localtheta[0]; - for (i = 0; i < m; i++) { j0 = n0; x0 = l1->x[i0]; y0 = l1->y[i0]; for (j = 0; j < n; j++) { - expr = calculateDistance(x0, y0, l2->x[j0], l2->y[j0], distance_metric); + expr = calculateDistance(x0, y0, l2->x[j0], l2->y[j0], distance_metric); expr1 = pow(expr, localtheta[2]); - - if(expr == 0) + if (expr == 0) A[i + j * m] = sigma_square + localtheta[3]; else - A[i + j * m] = sigma_square * exp(-(expr1/localtheta[1])) ; // power-exp kernel + A[i + j * m] = sigma_square * exp(-(expr1 / localtheta[1])); // power-exp kernel j0++; } i0++; } } - - - - /***************************************************************************//** * * core_scmg_nuggets_pow_exp - Calculate covariance matrix A - single precision. @@ -391,10 +364,10 @@ void core_dcmg_nuggets_pow_exp (double *A, int m, int n, * * ******************************************************************************/ -void core_scmg_nuggets_pow_exp (float *A, int m, int n, - int m0, int n0, - location *l1, location *l2, - double *localtheta, int distance_metric) { +void core_scmg_nuggets_pow_exp(float *A, int m, int n, + int m0, int n0, + location *l1, location *l2, + double* localtheta, int distance_metric) { int i, j; int i0 = m0; @@ -404,28 +377,23 @@ void core_scmg_nuggets_pow_exp (float *A, int m, int n, float expr1 = 0.0; float sigma_square = localtheta[0];// * localtheta[0]; - for (i = 0; i < m; i++) { j0 = n0; x0 = l1->x[i0]; y0 = l1->y[i0]; for (j = 0; j < n; j++) { - expr = calculateDistance(x0, y0, l2->x[j0], l2->y[j0], distance_metric); + expr = calculateDistance(x0, y0, l2->x[j0], l2->y[j0], distance_metric); expr1 = pow(expr, localtheta[2]); - if(expr == 0) + if (expr == 0) A[i + j * m] = sigma_square + localtheta[3]; else - //A[i + j * m] = con*pow(expr, localtheta[2])*gsl_sf_bessel_Knu(localtheta[2],expr); // Matern Function - A[i + j * m] = sigma_square * exp(-(expr1/localtheta[1])) ; // power-exp kernel + A[i + j * m] = sigma_square * exp(-(expr1 / localtheta[1])); // power-exp kernel j0++; } i0++; } } - - - /***************************************************************************//** * * core_sdcmg_nuggets_pow_exp - Calculate covariance matrix A - single precision. @@ -465,10 +433,10 @@ void core_scmg_nuggets_pow_exp (float *A, int m, int n, * ******************************************************************************/ -void core_sdcmg_nuggets_pow_exp (double *A, int m, int n, - int m0, int n0, - location *l1, location *l2, - double *localtheta, int distance_metric) { +void core_sdcmg_nuggets_pow_exp(double* A, int m, int n, + int m0, int n0, + location *l1, location *l2, + double* localtheta, int distance_metric) { int i, j; int i0 = m0; @@ -478,21 +446,19 @@ void core_sdcmg_nuggets_pow_exp (double *A, int m, int n, double expr1 = 0.0; double sigma_square = localtheta[0];// * localtheta[0]; - for (i = 0; i < m; i++) { j0 = n0; x0 = l1->x[i0]; y0 = l1->y[i0]; for (j = 0; j < n; j++) { - expr = calculateDistance(x0, y0, l2->x[j0], l2->y[j0], distance_metric); + expr = calculateDistance(x0, y0, l2->x[j0], l2->y[j0], distance_metric); expr1 = pow(expr, localtheta[2]); - if(expr == 0) - A[i + j * m] = (float)(sigma_square + localtheta[3]); + if (expr == 0) + A[i + j * m] = (float) (sigma_square + localtheta[3]); else - A[i + j * m] = (float)(sigma_square * exp(-(expr1/localtheta[1]))); // power-exp kernel + A[i + j * m] = (float) (sigma_square * exp(-(expr1 / localtheta[1]))); // power-exp kernel j0++; } i0++; } -} - +} \ No newline at end of file diff --git a/exageostat_exact/core/compute/core_zdotp.c b/exageostat_exact/cpu_core/compute/core_zdotp.c similarity index 81% rename from exageostat_exact/core/compute/core_zdotp.c rename to exageostat_exact/cpu_core/compute/core_zdotp.c index a5c85fb..5d40c47 100644 --- a/exageostat_exact/core/compute/core_zdotp.c +++ b/exageostat_exact/cpu_core/compute/core_zdotp.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,10 +11,10 @@ * * Calculate dot product scalar value of Z*Z. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2018-11-11 + * @date 2022-11-09 * **/ #include "../include/exageostatcore.h" @@ -40,10 +40,6 @@ * * ******************************************************************************/ -double core_ddotp(double *Z, double *dotproduct, int n) -{ - return cblas_ddot(n, Z, 1, Z, 1); -} - - - +double core_ddotp(double* Z, double* dotproduct, int n) { + return cblas_ddot(n, Z, 1, Z, 1); +} \ No newline at end of file diff --git a/exageostat_exact/core/compute/core_zlag2c.c b/exageostat_exact/cpu_core/compute/core_zlag2c.c similarity index 79% rename from exageostat_exact/core/compute/core_zlag2c.c rename to exageostat_exact/cpu_core/compute/core_zlag2c.c index af426a1..6c9385b 100644 --- a/exageostat_exact/core/compute/core_zlag2c.c +++ b/exageostat_exact/cpu_core/compute/core_zlag2c.c @@ -18,7 +18,7 @@ * * @version 2.5.0 * @comment This file has been automatically generated - * from Plasma 2.5.0 for MORSE 1.0.0 + * from Plasma 2.5.0 for CHAMELEON 1.0.0 * @author Mathieu Faverge * @author Emmanuel Agullo * @author Cedric Castagnede @@ -31,13 +31,13 @@ /***************************************************************************//** * - * @ingroup CORE_MORSE_Complex64_t + * @ingroup CORE_CHAMELEON_Complex64_t * **/ void CORE_zlag2c(int m, int n, - const MORSE_Complex64_t *A, int lda, - MORSE_Complex32_t *B, int ldb, int *info) + const CHAMELEON_Complex64_t *A, int lda, + CHAMELEON_Complex32_t *B, int ldb, int *info) { *info = LAPACKE_zlag2c_work(LAPACK_COL_MAJOR, m, n, A, lda, B, ldb); } @@ -47,13 +47,13 @@ void CORE_zlag2c(int m, int n, /***************************************************************************//** * - * @ingroup CORE_MORSE_Complex64_t + * @ingroup CORE_CHAMELEON_Complex64_t * **/ void CORE_clag2z(int m, int n, - const MORSE_Complex32_t *A, int lda, - MORSE_Complex64_t *B, int ldb) + const CHAMELEON_Complex32_t *A, int lda, + CHAMELEON_Complex64_t *B, int ldb) { LAPACKE_clag2z_work(LAPACK_COL_MAJOR, m, n, A, lda, B, ldb); } diff --git a/exageostat_exact/core/compute/core_zmdet.c b/exageostat_exact/cpu_core/compute/core_zmdet.c similarity index 76% rename from exageostat_exact/core/compute/core_zmdet.c rename to exageostat_exact/cpu_core/compute/core_zmdet.c index 4b981e2..2172eba 100644 --- a/exageostat_exact/core/compute/core_zmdet.c +++ b/exageostat_exact/cpu_core/compute/core_zmdet.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,16 +11,15 @@ * * Calculate determinant of a given triangular matrix (A). * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2018-11-11 + * @date 2022-11-09 * **/ #include "../include/exageostatcore.h" - /***************************************************************************//** * * core_dmdet - Calculate the determinant of the matrix A (double precision). @@ -48,25 +47,17 @@ * * ******************************************************************************/ -double core_dmdet (double *A, int m, int n, int m0, int n0) { - - int i; - double res = 0.0; - for (i = 0; i < m; i++) { - if(A[i + i * m] > 0) - res += log(A[i + i * m]); - // printf("(in loop) %s, %.7g, %.7g \n", __func__, log(A[i + i * m]), A[i + i * m]); - } - - //printf("%s, %f\n", __func__, res); - - return res; +double core_dmdet(double* A, int m, int n, int m0, int n0) { + + int i; + double res = 0.0; + for (i = 0; i < m; i++) { + if (A[i + i * m] > 0) + res += log(A[i + i * m]); + } + return res; } - - - - /***************************************************************************//** * * core_smdet - Calculate the determinant of the matrix A (single precision). @@ -94,18 +85,14 @@ double core_dmdet (double *A, int m, int n, int m0, int n0) { * * ******************************************************************************/ -float core_smdet (float * A, int m, int n, int m0, int n0) { - - int i; - float res = 0.0; - for (i = 0; i < m; i++) { - if(A[i + i * m] > 0) - res += log(A[i + i * m]); - } - - return res; -} - - +float core_smdet(float *A, int m, int n, int m0, int n0) { + int i; + float res = 0.0; + for (i = 0; i < m; i++) { + if (A[i + i * m] > 0) + res += log(A[i + i * m]); + } + return res; +} \ No newline at end of file diff --git a/exageostat_exact/core/compute/core_zprint.c b/exageostat_exact/cpu_core/compute/core_zprint.c similarity index 82% rename from exageostat_exact/core/compute/core_zprint.c rename to exageostat_exact/cpu_core/compute/core_zprint.c index f4a5fda..8c52af5 100644 --- a/exageostat_exact/core/compute/core_zprint.c +++ b/exageostat_exact/cpu_core/compute/core_zprint.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,10 +11,10 @@ * * Generate covariance matrix of a set of locations in 2D using Matern kernel. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2018-11-26 + * @date 2022-11-09 * **/ #include "../include/exageostatcore.h" @@ -57,22 +57,19 @@ * * ******************************************************************************/ -void core_dprint (double *A, int m, int n, int m0, int n0) { +void core_dprint(double* A, int m, int n, int m0, int n0) { - int i, j; - - if (n0 == 0) - printf("\n"); - - for (j = 0; j < n; j++) { - for (i = 0; i < m; i++) { - printf("%f - ", A[i + j * m]); - } - } + int i, j; + if (n0 == 0) + printf("\n"); + for (j = 0; j < n; j++) { + for (i = 0; i < m; i++) { + printf("%f - ", A[i + j * m]); + } + } } - /***************************************************************************//** * * core_sprint - Calculate covariance matrix A - single precision. @@ -111,19 +108,15 @@ void core_dprint (double *A, int m, int n, int m0, int n0) { * * ******************************************************************************/ -void core_sprint (float *A, int m, int n, int m0, int n0) { - - int i, j; +void core_sprint(float *A, int m, int n, int m0, int n0) { - if (n0 == 0) - printf("\n"); - - for (j = 0; j < n; j++) { - for (i = 0; i < m; i++) { - printf("%f - ", A[i + j * m]); - - } - } - -} + int i, j; + if (n0 == 0) + printf("\n"); + for (j = 0; j < n; j++) { + for (i = 0; i < m; i++) { + printf("%f - ", A[i + j * m]); + } + } +} \ No newline at end of file diff --git a/exageostat_exact/cpu_core/compute/core_ztrace.c b/exageostat_exact/cpu_core/compute/core_ztrace.c new file mode 100644 index 0000000..24ef17e --- /dev/null +++ b/exageostat_exact/cpu_core/compute/core_ztrace.c @@ -0,0 +1,97 @@ +/** + * + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology + * All rights reserved. + * + * ExaGeoStat is a software package provided by KAUST + **/ +/** + * + * @file core_ztrace.c + * + * Calculate trace of a given matrix (A). + * + * @version 1.2.0 + * + * @author Sameh Abdulah + * @date 2022-11-09 + * + **/ + +#include "../include/exageostatcore.h" + +/***************************************************************************//** + * + * core_dtrace - Calculate the determinant of the matrix A (double precision). + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] A + * The m-by-n matrix on which to calculate the determinant. + * + * @param[in] m + * The number of rows in the tile A. + * + * @param[in] n + * The number of cols in the tile A. + * + * @param[in] m0 + * global row index of the tile A. + * + * @param[in] n0 + * global col index of the tile A. + * + * + ******************************************************************************* + * + * + ******************************************************************************/ +double core_dtrace(double* A, int m, int n, + int m0, int n0, double* trace) { + + int i; + double res = 0.0; + for (i = 0; i < m; i++) { + res += A[i + i * m]; + trace[i] = A[i + i * m]; + } + return res; +} + +/***************************************************************************//** + * + * core_strace - Calculate the determinant of the matrix A (single precision). + * The routine makes only one pass through the tile A. + * One tile operation. + ******************************************************************************* + * + * @param[out] A + * The m-by-n matrix on which to calculate the determinant. + * + * @param[in] m + * The number of rows in the tile A. + * + * @param[in] n + * The number of cols in the tile A. + * + * @param[in] m0 + * global row index of the tile A. + * + * @param[in] n0 + * global col index of the tile A. + * + * + ******************************************************************************* + * + * + ******************************************************************************/ +float core_strace(float *A, int m, int n, int m0, int n0) { + + int i; + float res = 0.0; + for (i = 0; i < m; i++) + res += A[i + i * m]; + + return res; +} \ No newline at end of file diff --git a/exageostat_exact/core/compute/core_zzcpy.c b/exageostat_exact/cpu_core/compute/core_zzcpy.c similarity index 85% rename from exageostat_exact/core/compute/core_zzcpy.c rename to exageostat_exact/cpu_core/compute/core_zzcpy.c index 1330f10..4d7694c 100644 --- a/exageostat_exact/core/compute/core_zzcpy.c +++ b/exageostat_exact/cpu_core/compute/core_zzcpy.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,16 +11,14 @@ * * Copy contents of descriptor to vector. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2018-11-11 + * @date 2022-11-09 * **/ #include "../include/exageostatcore.h" - - /******************************************************************************* * * core_dzcpy - Copy vector r to vector Z (one tile) (double precision). @@ -46,14 +44,11 @@ * * ******************************************************************************/ -void core_dzcpy(double *Z, int m, int m0, double *r) { +void core_dzcpy(double* Z, int m, int m0, double* r) { - memcpy(Z, &r[m0], m * sizeof(double)); + memcpy(Z, &r[m0], m * sizeof(double)); } - - - /******************************************************************************* * * core_szcpy - Copy vector r to vector Z (one tile) (single precision). @@ -79,7 +74,6 @@ void core_dzcpy(double *Z, int m, int m0, double *r) { * * ******************************************************************************/ -void core_szcpy(float *Z, int m, int m0, float *r) { - - memcpy(Z, &r[m0], m * sizeof(float)); -} +void core_szcpy(float *Z, int m, int m0, float *r) { + memcpy(Z, &r[m0], m * sizeof(float)); +} \ No newline at end of file diff --git a/exageostat_exact/cpu_core/include/exageostatcore.h b/exageostat_exact/cpu_core/include/exageostatcore.h new file mode 100644 index 0000000..ed4fc14 --- /dev/null +++ b/exageostat_exact/cpu_core/include/exageostatcore.h @@ -0,0 +1,187 @@ +/** + * + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology + * All rights reserved. + * + * ExaGeoStat is a software package provided by KAUST + **/ +/** + * + * @file exageostatcore.h + * + * Core functions header file. + * + * @version 1.2.0 + * + * @author Sameh Abdulah + * @date 2022-11-09 + * + **/ +#ifndef _EXAGEOSTATCORE_H_ +#define _EXAGEOSTATCORE_H_ + +#include "../../../misc/include/MLE_misc.h" +#include "../../../misc/include/flat_file.h" + +//Generate the covariance matrix. +void core_scmg(float *A, int m, int n, + int m0, int n0, + location *l1, location *l2, + double* localtheta, int distance_metric); + +void core_dcmg(double* A, int m, int n, + int m0, int n0, + location *l1, location *l2, + double* localtheta, int distance_metric); + + +void core_sdcmg(double* A, int m, int n, + int m0, int n0, + location *l1, location *l2, + double* localtheta, int distance_metric); + + +void core_scmg_pow_exp(float *A, int m, int n, + int m0, int n0, + location *l1, location *l2, + double* localtheta, int distance_metric); + +void core_dcmg_pow_exp(double* A, int m, int n, + int m0, int n0, + location *l1, location *l2, + double* localtheta, int distance_metric); + + +void core_sdcmg_pow_exp(double* A, int m, int n, + int m0, int n0, + location *l1, location *l2, + double* localtheta, int distance_metric); + +void core_dcmg_bivariate_parsimonious(double* A, int m, int n, + int m0, int n0, location *l1, + location *l2, double* localtheta, int distance_metric); + +void core_dcmg_bivariate_parsimonious2(double* A, int m, int n, + int m0, int n0, location *l1, + location *l2, double* localtheta, int distance_metric, int size); + +void core_dcmg_bivariate_flexible(double* A, int m, int n, + int m0, int n0, location *l1, + location *l2, double* localtheta, int distance_metric); + +float core_smdet(float *A, int m, int n, + int m0, int n0); + +double core_dmdet(double* A, int m, int n, + int m0, int n0); + +void core_szcpy(float *Z, int m, + int m0, float *r); + +void core_dzcpy(double* Z, int m, + int m0, double* r); + +float core_sdotp(float *Z, float *dotproduct, + int n); + +double core_ddotp(double* Z, double* dotproduct, + int n); + +void core_dlag2s(int m, int n, + const double* A, int lda, + float *B, int ldb); + +void core_slag2d(int m, int n, + const float *A, int lda, + double* B, int ldb); + +void core_sprint(float *A, + int m, int n, + int m0, int n0); + +void core_dprint(double* A, + int m, int n, + int m0, int n0); + +void core_dcmg_nono_stat(double* A, int m, int n, + int m0, int n0, location *l1, + location *l2, location *lm, double* localtheta, + int distance_metric); + +void core_dcmg_matern_dsigma_square(double* A, int m, int n, + int m0, int n0, location *l1, + location *l2, double* localtheta, int distance_metric); + +void core_dcmg_matern_dnu(double* A, int m, int n, + int m0, int n0, location *l1, + location *l2, double* localtheta, int distance_metric); + +void core_dcmg_matern_dbeta(double* A, int m, int n, + int m0, int n0, location *l1, + location *l2, double* localtheta, int distance_metric); + +void core_dcmg_matern_ddsigma_square(double* A, int m, int n); + +void core_dcmg_matern_ddsigma_square_beta(double* A, int m, int n, + int m0, int n0, location *l1, + location *l2, double* localtheta, int distance_metric); + +void core_dcmg_matern_ddsigma_square_nu(double* A, int m, int n, + int m0, int n0, location *l1, + location *l2, double* localtheta, int distance_metric); + +void core_dcmg_matern_ddbeta_beta(double* A, int m, int n, + int m0, int n0, location *l1, + location *l2, double* localtheta, int distance_metric); + +void core_dcmg_matern_ddbeta_nu(double* A, int m, int n, + int m0, int n0, location *l1, + location *l2, double* localtheta, int distance_metric); + +double core_dtrace(double* A, int m, int n, + int m0, int n0, double* trace); + +double core_ng_loglike(double* Z, double* localtheta, + int m); + +void core_ng_transform(double* Z, double* nan_flag, double* localtheta, + int m); + +void core_g_to_ng(double* Z, double* localtheta, + int m); + +double core_dtrace(double* A, int m, int n, + int m0, int n0, double* trace); + +void core_dcmg_nuggets(double* A, int m, int n, + int m0, int n0, location *l1, + location *l2, double* localtheta, int distance_metric); + +void core_dcmg_spacetime_bivariate_parsimonious(double* A, int m, int n, + int m0, int n0, location *l1, + location *l2, double* localtheta, int distance_metric); + +void core_dcmg_non_stat(double* A, int m, int n, int m0, + int n0, location *l1, location *l2, double* localtheta, int distance_metric); + +void core_dcmg_spacetime_matern(double* A, int m, int n, + int m0, int n0, location *l1, + location *l2, double* localtheta, int distance_metric); + +void core_dcmg_matern_ddnu_nu(double* A, int m, int n, int m0, int n0, location *l1, location *l2, double* localtheta, + int distance_metric); + +void core_ng_dcmg(double* A, int m, int n, + int m0, int n0, location *l1, + location *l2, double* localtheta, int distance_metric); + +void core_ng_exp_dcmg(double* A, int m, int n, + int m0, int n0, location *l1, + location *l2, double* localtheta, int distance_metric); + + +void core_dcmg_trivariate_parsimonious(double* A, int m, int n, + int m0, int n0, location *l1, + location *l2, double* localtheta, int distance_metric); + +#endif \ No newline at end of file diff --git a/exageostat_exact/cuda_core/compute/cuda_conv.cu b/exageostat_exact/cuda_core/compute/cuda_conv.cu new file mode 100644 index 0000000..37b9b45 --- /dev/null +++ b/exageostat_exact/cuda_core/compute/cuda_conv.cu @@ -0,0 +1,79 @@ +/** + * + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology + * All rights reserved. + * + * ExaGeoStat is a software package provided by KAUST + **/ +/** + * + * @file cudaconv.c + * + * Cuda datatypes conversion. + * + * @version 1.2.0 + * + * @author Sameh Abdulah + * @date 2022-11-09 + * + **/ + +#define CHUNKSIZE 32 + +#include +#include +#include "../include/exageostatcudacore.h" + +__global__ void +float2double_array_kernel(int nrows, int ncols, const float *F, int ldf, double* H, int ldh, cublasOperation_t transa) { + const int tx = threadIdx.x; + const int ty = threadIdx.y; + const int idx = blockIdx.x * blockDim.x + tx; + const int idy = blockIdx.y * blockDim.y + ty; + + if (idx >= nrows || idy >= ncols) { + return; + } + if (transa == CUBLAS_OP_N) + H[idy * ldh + idx] = (double) F[idy * ldf + idx]; + else + H[idx * ldh + idy] = (double) F[idy * ldf + idx]; +} + +void float2double_array(int nrows, int ncols, const float *F, int ldf, double* H, int ldh, cublasOperation_t transa, + cudaStream_t stream) { + int nBlockx = (nrows + CHUNKSIZE - 1) / CHUNKSIZE; + int nBlocky = (ncols + CHUNKSIZE - 1) / CHUNKSIZE; + dim3 dimBlock(CHUNKSIZE, CHUNKSIZE); + dim3 dimGrid(nBlockx, nBlocky); + float2double_array_kernel<<>>(nrows, ncols, F, ldf, H, ldh, transa); +} + +__global__ void +double2float_array_kernel(int nrows, int ncols, const double* H, int ldh, float *F, int ldf, cublasOperation_t transa) { + const int tx = threadIdx.x; + const int ty = threadIdx.y; + const int idx = blockIdx.x * blockDim.x + tx; + const int idy = blockIdx.y * blockDim.y + ty; + + if (idx >= nrows || idy >= ncols) { + return; + } + + if (transa == CUBLAS_OP_N) + F[idy * ldf + idx] = __double2float_rn( + H[idy * ldh + idx]); //Convert a double to a float in round-to-nearest-even mode. + else + F[idx * ldf + idy] = __double2float_rn( + H[idy * ldh + idx]); //Convert a double to a float in round-to-nearest-even mode +} + +void double2float_array(int nrows, int ncols, const double* H, int ldh, float *F, int ldf, cublasOperation_t transa, + cudaStream_t stream) { + + int nBlockx = (nrows + CHUNKSIZE - 1) / CHUNKSIZE; + int nBlocky = (ncols + CHUNKSIZE - 1) / CHUNKSIZE; + dim3 dimBlock(CHUNKSIZE, CHUNKSIZE); + dim3 dimGrid(nBlockx, nBlocky); + double2float_array_kernel<<>>(nrows, ncols, H, ldh, F, ldf, transa); +} \ No newline at end of file diff --git a/exageostat_exact/cuda_core/compute/cuda_zcmg.cu b/exageostat_exact/cuda_core/compute/cuda_zcmg.cu new file mode 100644 index 0000000..dbf1dcb --- /dev/null +++ b/exageostat_exact/cuda_core/compute/cuda_zcmg.cu @@ -0,0 +1,65 @@ +/** + * + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology + * All rights reserved. + * + * ExaGeoStat is a software package provided by KAUST + **/ +/** + * + * @file cudaconv.c + * + * Cuda datatypes conversion. + * + * @version 1.2.0 + * + * @author Sameh Abdulah + * @date 2022-11-09 + * + **/ + +#define CHUNKSIZE 32 + +#include +#include +#include "../include/exageostatcudacore.h" + + +__global__ void dcmg_array_kernel(double* A, int m, int n, int m0, + int n0, double* l1_x_cuda, double* l1_y_cuda, double* l2_x_cuda, double* l2_y_cuda, + double localtheta0, double localtheta1, double localtheta2, int distance_metric) { + const int tx = threadIdx.x; + const int ty = threadIdx.y; + const int idx = blockIdx.x * blockDim.x + tx; + const int idy = blockIdx.y * blockDim.y + ty; + + if (idx >= m || idy >= n) { + return; + } + + double expr = 0.0; + double expr1 = 0.0; + double sigma_square = localtheta0;// * localtheta[0]; + + expr = sqrt(pow((l2_x_cuda[idx] - l1_x_cuda[idy]), 2) + + pow((l2_y_cuda[idx] - l1_y_cuda[idy]), 2)); + + expr1 = pow(expr, localtheta2); + if (expr == 0) + A[idx + idy * m] = sigma_square /*+ 1e-4*/; + else + A[idx + idy * m] = sigma_square * exp(-(expr1 / localtheta1)); // power-exp kernel +} + +void dcmg_array(double* A, int m, int n, int m0, + int n0, double* l1_x_cuda, double* l1_y_cuda, double* l2_x_cuda, double* l2_y_cuda, + double* localtheta, int distance_metric, cudaStream_t stream) { + + int nBlockx = (m + CHUNKSIZE - 1) / CHUNKSIZE; + int nBlocky = (n + CHUNKSIZE - 1) / CHUNKSIZE; + dim3 dimBlock(CHUNKSIZE, CHUNKSIZE); + dim3 dimGrid(nBlockx, nBlocky); + + dcmg_array_kernel<<>>(A, m, n, m0, n0, l1_x_cuda, l1_y_cuda, l2_x_cuda, l2_y_cuda, + localtheta[0], localtheta[1], localtheta[2], distance_metric); +} diff --git a/exageostat_exact/cuda_core/include/exageostatcudacore.h b/exageostat_exact/cuda_core/include/exageostatcudacore.h new file mode 100644 index 0000000..9bdb11a --- /dev/null +++ b/exageostat_exact/cuda_core/include/exageostatcudacore.h @@ -0,0 +1,66 @@ +/** + * + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology + * All rights reserved. + * + * ExaGeoStat is a software package provided by KAUST + **/ +/** + * + * @file exageostatcudacore.h + * + * CUDA core functions header file. + * + * @version 1.2.0 + * + * @author Sameh Abdulah + * @date 2022-11-09 + * + **/ +#ifndef _EXAGEOSTATCUDACORE_H_ +#define _EXAGEOSTATCUDACORE_H_ + +#include "cudablas.h" +#include "lapacke.h" +#include "misc/include/MLE_misc.h" +#include "misc/include/flat_file.h" + +int cuda_dsconv(int m, int n, + cuDoubleComplex *A, int lda, + cuFloatComplex *B, int ldb, cublasHandle_t handle); + +int cuda_sdconv(int m, int n, + cuFloatComplex *A, int lda, + cuDoubleComplex *B, int ldb, cublasHandle_t handle); + +void cuda_dcmg(double* A, int m, int n, int m0, + int n0, double* l1_x_cuda, double* l1_y_cuda, double* l2_x_cuda, double* l2_y_cuda, + double* localtheta, int distance_metric, cublasHandle_t handle); + +#ifdef __cplusplus +extern "C" +{ +#endif + +void double2float_array(int nrows, int ncols, + const double* H, int ldh, + float *F, int ldf, + cublasOperation_t transa, cudaStream_t stream); + +void float2double_array(int nrows, int ncols, + const float *F, int ldf, + double* H, int ldh, + cublasOperation_t transa, cudaStream_t stream); + +void dcmg_array(double* A, int m, int n, + int m0, int n0, + double* l1_x_cuda, double* l1_y_cuda, double* l2_x_cuda, double* l2_y_cuda, + double* localtheta, int distance_metric, + cudaStream_t stream); + +#ifdef __cplusplus +} +#endif +#endif + + diff --git a/exageostat_exact/runtime/CMakeLists.txt b/exageostat_exact/runtime/CMakeLists.txt index 61d1459..c789286 100644 --- a/exageostat_exact/runtime/CMakeLists.txt +++ b/exageostat_exact/runtime/CMakeLists.txt @@ -1,23 +1,23 @@ # List of codelets required by all runtimes # ----------------------------------------- set(CODELETS_DSRC - codelets/codelet_dcmg.c - codelets/codelet_ddotp.c - codelets/codelet_dgemv.c - codelets/codelet_dmdet.c - codelets/codelet_dmse.c - codelets/codelet_dzcpy.c - ) + codelets/codelet_dcmg.c + codelets/codelet_ddotp.c + codelets/codelet_dgemv.c + codelets/codelet_dmdet.c + codelets/codelet_dmse.c + codelets/codelet_dzcpy.c + ) # Check for the subdirectories # ---------------------------- -if( CHAMELEON_SCHED_QUARK ) +if (CHAMELEON_SCHED_QUARK) add_subdirectory(quark) -elseif( CHAMELEON_SCHED_PARSEC ) +elseif (CHAMELEON_SCHED_PARSEC) add_subdirectory(parsec) -elseif( CHAMELEON_SCHED_STARPU ) +elseif (CHAMELEON_SCHED_STARPU) add_subdirectory(starpu) -endif() +endif () ### ### END CMakeLists.txt diff --git a/exageostat_exact/runtime/starpu/CMakeLists.txt b/exageostat_exact/runtime/starpu/CMakeLists.txt index 388cd97..a68548d 100644 --- a/exageostat_exact/runtime/starpu/CMakeLists.txt +++ b/exageostat_exact/runtime/starpu/CMakeLists.txt @@ -18,7 +18,7 @@ # Univ. of California Berkeley, # Univ. of Colorado Denver. # -# @version 0.9.0 +# @version 1.2.0 # @author Cedric Castagnede # @author Emmanuel Agullo # @author Mathieu Faverge @@ -27,7 +27,7 @@ # ### -cmake_minimum_required(VERSION 2.8) +cmake_minimum_required(VERSION 2.8.12) # check if magma_dgetrf_incpiv_gpu is accessible in libmagma and activate it in chameleon if ( CBLAS_FOUND AND LAPACKE_FOUND AND LAPACK_FOUND AND CUDA_FOUND AND CUDA_CUBLAS_LIBRARIES AND MAGMA_FOUND ) @@ -47,11 +47,10 @@ set(ZHDR include/runtime_codelet_z.h ) - # Define the list of headers # -------------------------- set(RUNTIME_HDRS - include/morse_starpu.h + include/chameleon_starpu.h include/runtime_codelet_profile.h include/runtime_codelets.h include/runtime_profiling.h @@ -65,10 +64,8 @@ add_custom_target(runtime_starpu_include ALL SOURCES ${RUNTIME_HDRS}) # installation # ------------ -#install(FILES ${RUNTIME_HDRS} -# DESTINATION include) -# Generate the morse common for all possible precisions +# Generate the chameleon common for all possible precisions # ----------------------------------------------------- set(RUNTIME_COMMON_GENERATED "") set(ZSRC @@ -98,7 +95,7 @@ foreach(_prec ${CHAMELEON_PRECISION}) endforeach() set_source_files_properties(control/runtime_profiling.c PROPERTIES COMPILE_FLAGS "${flags_to_add}") -# Generate the morse sources for all possible precisions +# Generate the chameleon sources for all possible precisions # ------------------------------------------------------ set(RUNTIME_SRCS_GENERATED "") set(ZSRC @@ -147,7 +144,6 @@ endif() # ------------ install(TARGETS chameleon_starpu DESTINATION lib) - ### ### END CMakeLists.txt ### diff --git a/exageostat_exact/runtime/starpu/codelets/codelet_Fisher.c b/exageostat_exact/runtime/starpu/codelets/codelet_Fisher.c new file mode 100644 index 0000000..e69de29 diff --git a/exageostat_exact/runtime/starpu/codelets/codelet_Hessian.c b/exageostat_exact/runtime/starpu/codelets/codelet_Hessian.c new file mode 100644 index 0000000..e69de29 diff --git a/exageostat_exact/runtime/starpu/codelets/codelet_dlag2s.c b/exageostat_exact/runtime/starpu/codelets/codelet_dlag2s.c index b3cdca8..17beafe 100644 --- a/exageostat_exact/runtime/starpu/codelets/codelet_dlag2s.c +++ b/exageostat_exact/runtime/starpu/codelets/codelet_dlag2s.c @@ -12,13 +12,13 @@ * * @file codelet_dlag2s.c * - * MORSE codelets kernel - * MORSE is a software package provided by Univ. of Tennessee, + * CHAMELEON codelets kernel + * CHAMELEON is a software package provided by Univ. of Tennessee, * Univ. of California Berkeley and Univ. of Colorado Denver * * @version 2.5.0 * @comment This file has been automatically generated - * from Plasma 2.5.0 for MORSE 1.0.0 + * from Plasma 2.5.0 for CHAMELEON 1.0.0 * @author Mathieu Faverge * @author Emmanuel Agullo * @author Cedric Castagnede @@ -31,30 +31,30 @@ #include "../include/starpu_exageostat.h" /** * - * @ingroup CORE_MorseRealDouble + * @ingroup CORE_ChamRealDouble * **/ -void MORSE_TASK_dlag2s(const MORSE_option_t *options, +void CHAMELEON_TASK_dlag2s(const RUNTIME_option_t *options, int m, int n, int nb, - const MORSE_desc_t *A, int Am, int An, int lda, - const MORSE_desc_t *B, int Bm, int Bn, int ldb) + const CHAM_desc_t *A, int Am, int An, int lda, + const CHAM_desc_t *B, int Bm, int Bn, int ldb) { (void)nb; - struct starpu_codelet *codelet = &cl_dlag2s; + struct starpu_codelet *codelet = &cl_lag2s; //void (*callback)(void*) = options->profiling ? cl_dlag2s_callback : NULL; - MORSE_BEGIN_ACCESS_DECLARATION; - MORSE_ACCESS_R(A, Am, An); - MORSE_ACCESS_W(B, Bm, Bn); - MORSE_END_ACCESS_DECLARATION; + CHAMELEON_BEGIN_ACCESS_DECLARATION; + CHAMELEON_ACCESS_R(A, Am, An); + CHAMELEON_ACCESS_W(B, Bm, Bn); + CHAMELEON_END_ACCESS_DECLARATION; starpu_insert_task( starpu_mpi_codelet(codelet), STARPU_VALUE, &m, sizeof(int), STARPU_VALUE, &n, sizeof(int), - STARPU_R, EXAGEOSTAT_RTBLKADDR(A, MorseRealDouble, Am, An), + STARPU_R, EXAGEOSTAT_RTBLKADDR(A, ChamRealDouble, Am, An), STARPU_VALUE, &lda, sizeof(int), - STARPU_W, EXAGEOSTAT_RTBLKADDR(B, MorseRealFloat, Bm, Bn), + STARPU_W, EXAGEOSTAT_RTBLKADDR(B, ChamRealFloat, Bm, Bn), STARPU_VALUE, &ldb, sizeof(int), STARPU_PRIORITY, options->priority, // STARPU_CALLBACK, callback, @@ -69,37 +69,37 @@ static void cl_dlag2s_cpu_func(void *descr[], void *cl_arg) { int m; int n; - MorseRealDouble *A; + ChamRealDouble *A; int lda; - MorseRealFloat *B; + ChamRealFloat *B; int ldb; - A = (MorseRealDouble *)STARPU_MATRIX_GET_PTR(descr[0]); - B = (MorseRealFloat *)STARPU_MATRIX_GET_PTR(descr[1]); + A = (ChamRealDouble *)STARPU_MATRIX_GET_PTR(descr[0]); + B = (ChamRealFloat *)STARPU_MATRIX_GET_PTR(descr[1]); starpu_codelet_unpack_args(cl_arg, &m, &n, &lda, &ldb); CORE_dlag2s( m, n, A, lda, B, ldb); } #endif /* !defined(CHAMELEON_SIMULATION) */ /* -void MORSE_TASK_dlag2s(const MORSE_option_t *options, +void CHAMELEON_TASK_dlag2s(const RUNTIME_option_t *options, int m, int n, int nb, - const MORSE_desc_t *A, int Am, int An, int lda, - const MORSE_desc_t *B, int Bm, int Bn, int ldb) + const CHAM_desc_t *A, int Am, int An, int lda, + const CHAM_desc_t *B, int Bm, int Bn, int ldb) { (void)nb; struct starpu_codelet *codelet = &cl_dlag2s; void (*callback)(void*) = options->profiling ? cl_dlag2s_callback : NULL; - if ( morse_desc_islocal( A, Am, An ) || - morse_desc_islocal( B, Bm, Bn ) ) + if ( chameleon_desc_islocal( A, Am, An ) || + chameleon_desc_islocal( B, Bm, Bn ) ) { starpu_insert_task( starpu_mpi_codelet(codelet), STARPU_VALUE, &m, sizeof(int), STARPU_VALUE, &n, sizeof(int), - STARPU_R, RTBLKADDR(A, MorseRealFloat, Am, An), + STARPU_R, RTBLKADDR(A, ChamRealFloat, Am, An), STARPU_VALUE, &lda, sizeof(int), - STARPU_W, RTBLKADDR(B, MorseRealDouble, Bm, Bn), + STARPU_W, RTBLKADDR(B, ChamRealDouble, Bm, Bn), STARPU_VALUE, &ldb, sizeof(int), STARPU_PRIORITY, options->priority, STARPU_CALLBACK, callback, diff --git a/exageostat_exact/runtime/starpu/codelets/codelet_dsconv.c b/exageostat_exact/runtime/starpu/codelets/codelet_dsconv.c index b5c3aa6..9f720a4 100755 --- a/exageostat_exact/runtime/starpu/codelets/codelet_dsconv.c +++ b/exageostat_exact/runtime/starpu/codelets/codelet_dsconv.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * **/ @@ -9,9 +9,9 @@ * * @file codelet_dsconv.c * - * MORSE codelets kernel + * CHAM codelets kernel * - * @version 1.1.0 + * @version 1.2.0 * @author Sameh Abdulah * * @date 2019-01-20 @@ -19,114 +19,84 @@ * **/ #include "chameleon_starpu.h" -#include "runtime_codelet_d.h" #include "../include/starpu_exageostat.h" + /** * - * @ingroup CORE_MorseRealDouble + * @ingroup CORE_ChamRealDouble * **/ -static void cl_dsconv_cpu_func(void *descr[], void *cl_arg) -{ +static void cl_dsconv_cpu_func(void *descr[], void *cl_arg) { int m; int n; - double *A; + double* A; int lda; float *B; int ldb; int *info; - A = (double *)STARPU_MATRIX_GET_PTR(descr[0]); - B = (float *)STARPU_MATRIX_GET_PTR(descr[1]); + A = (double* ) STARPU_MATRIX_GET_PTR(descr[0]); + B = (float *) STARPU_MATRIX_GET_PTR(descr[1]); starpu_codelet_unpack_args(cl_arg, &m, &n, &lda, &ldb); - //printf("CPU_CORE_dlag2s========================\n"); - core_dlag2s( m, n, A, lda, B, ldb ); + core_dlag2s(m, n, A, lda, B, ldb); } - #if defined(EXAGEOSTAT_USE_CUDA) static void cl_dsconv_cuda_func(void *descr[], void *cl_arg) { - int m; int n; - double *A; + double* A; int lda; float *B; int ldb; int *info; - A = (double *)STARPU_MATRIX_GET_PTR(descr[0]); + A = (double* )STARPU_MATRIX_GET_PTR(descr[0]); B = (float *)STARPU_MATRIX_GET_PTR(descr[1]); starpu_codelet_unpack_args(cl_arg, &m, &n, &lda, &ldb); //RUNTIME_getStream(stream); cudaStream_t stream = starpu_cuda_get_local_stream(); double2float_array( m, n, A, lda, B, ldb, CUBLAS_OP_T, stream); - - //#ifndef STARPU_CUDA_ASYNC cudaStreamSynchronize( stream ); - //#endif } #endif /* defined(EXAGEOSTAT_USE_CUDA) */ - - static struct starpu_codelet cl_dsconv = -{ - .where = STARPU_CPU | STARPU_CUDA, - .cpu_func = cl_dsconv_cpu_func, + { + .where = STARPU_CPU | STARPU_CUDA, + .cpu_func = cl_dsconv_cpu_func, #if defined(EXAGEOSTAT_USE_CUDA) - .cuda_func = cl_dsconv_cuda_func, + .cuda_func = cl_dsconv_cuda_func, #endif - .nbuffers = 2, - .modes = {STARPU_R, STARPU_W}, - .name = "dsconv" -}; - - - -void MORSE_TASK_dsconv(const MORSE_option_t *options, - int m, int n, int nb, - const MORSE_desc_t *A, int Am, int An, int lda, - const MORSE_desc_t *B, int Bm, int Bn, int ldb) -{ - (void)nb; + .nbuffers = 2, + .modes = {STARPU_R, STARPU_W}, + .name = "dsconv" + }; + +void EXAGEOSTAT_TASK_dsconv(const RUNTIME_option_t *options, + int m, int n, int nb, + const CHAM_desc_t *A, int Am, int An, int lda, + const CHAM_desc_t *B, int Bm, int Bn, int ldb) { + (void) nb; struct starpu_codelet *codelet = &cl_dsconv; - //void (*callback)(void*) = options->profiling ? cl_dsconv_callback : NULL; - - - int execution_rankA = A->get_rankof( A, Am, An ); - int execution_rankB = A->get_rankof( A, Am, An ); - //printf ("%d -%d\n", execution_rankA, execution_rankB ); - - //MORSE_BEGIN_ACCESS_DECLARATION; - //MORSE_ACCESS_R(A, Am, An); - //MORSE_ACCESS_W(B, Bm, Bn); - //MORSE_END_ACCESS_DECLARATION; + int execution_rankA = A->get_rankof(A, Am, An); + int execution_rankB = A->get_rankof(A, Am, An); starpu_insert_task( starpu_mpi_codelet(codelet), - STARPU_VALUE, &m, sizeof(int), - STARPU_VALUE, &n, sizeof(int), - STARPU_R, EXAGEOSTAT_RTBLKADDR(A, MorseRealDouble, Am, An), - STARPU_VALUE, &lda, sizeof(int), - STARPU_W, EXAGEOSTAT_RTBLKADDR(B, MorseRealFloat, Bm, Bn), - STARPU_VALUE, &ldb, sizeof(int), - STARPU_PRIORITY, options->priority, - // STARPU_CALLBACK, callback, - //#if defined(CHAMELEON_USE_MPI) - // STARPU_EXECUTE_ON_NODE, execution_rank, - //#endif + STARPU_VALUE, &m, sizeof(int), + STARPU_VALUE, &n, sizeof(int), + STARPU_R, EXAGEOSTAT_RTBLKADDR(A, ChamRealDouble, Am, An), + STARPU_VALUE, &lda, sizeof(int), + STARPU_W, EXAGEOSTAT_RTBLKADDR(B, ChamRealFloat, Bm, Bn), + STARPU_VALUE, &ldb, sizeof(int), + STARPU_PRIORITY, options->priority, + #if defined(CHAMELEON_CODELETS_HAVE_NAME) STARPU_NAME, "dsconv", #endif 0); -} - - -/* - * Codelet definition - */ -//CODELETS(dsconv, 4, cl_dsconv_cuda_func, cl_dsconv_cpu_func, STARPU_CUDA_ASYNC) +} \ No newline at end of file diff --git a/exageostat_exact/runtime/starpu/codelets/codelet_dsconv_trash.c b/exageostat_exact/runtime/starpu/codelets/codelet_dsconv_trash.c index 2e8e608..3253dc7 100755 --- a/exageostat_exact/runtime/starpu/codelets/codelet_dsconv_trash.c +++ b/exageostat_exact/runtime/starpu/codelets/codelet_dsconv_trash.c @@ -13,13 +13,13 @@ * * @file codelet_dsconv.c * - * MORSE codelets kernel - * MORSE is a software package provided by Univ. of Tennessee, + * CHAM codelets kernel + * CHAM is a software package provided by Univ. of Tennessee, * Univ. of California Berkeley and Univ. of Colorado Denver * * @version 2.5.0 * @comment This file has been automatically generated - * from Plasma 2.5.0 for MORSE 1.0.0 + * from Plasma 2.5.0 for CHAM 1.0.0 * @author Sameh Abdulah * @author Hatem Ltaief * @author Jakub Kurzak @@ -34,7 +34,7 @@ #include "../include/starpu_exageostat.h" /** * - * @ingroup CORE_MORSE_Complex64_t + * @ingroup CORE_CHAMELEON_Complex64_t * **/ @@ -46,43 +46,26 @@ static void cl_dsconv_cpu_func(void *descr[], void *cl_arg) double *A; float *B; - A = (double *)STARPU_MATRIX_GET_PTR(descr[0]); + A = (double* )STARPU_MATRIX_GET_PTR(descr[0]); B = (float *)STARPU_MATRIX_GET_PTR(descr[1]); starpu_codelet_unpack_args(cl_arg, &m, &n); - - core_dsconv(A, B, m, n); -int i=0; + core_dsconv(A, B, m, n); + int i=0; for (i=0;i +#include #include "../include/starpu_exageostat.h" + /** * - * @ingroup CORE_MORSE_Complex64_t + * @ingroup CORE_float * */ -//SCODELETS_HEADER(exageostat_gemm) -void MORSE_TASK_sexageostat_gemm(const MORSE_option_t *options, - MORSE_enum transA, int transB, - int m, int n, int k, int nb, - float alpha, const MORSE_desc_t *A, int Am, int An, int lda, - const MORSE_desc_t *B, int Bm, int Bn, int ldb, - float beta, const MORSE_desc_t *C, int Cm, int Cn, int ldc) -{ - (void)nb; +void EXAGEOSTAT_TASK_sexageostat_gemm(const RUNTIME_option_t *options, + CHAM_enum transA, int transB, + int m, int n, int k, int nb, + float alpha, const CHAM_desc_t *A, int Am, int An, int lda, + const CHAM_desc_t *B, int Bm, int Bn, int ldb, + float beta, const CHAM_desc_t *C, int Cm, int Cn, int ldc) { + (void) nb; struct starpu_codelet *codelet = &cl_sgemm; - void (*callback)(void*) = options->profiling ? cl_sgemm_callback : NULL; + void (*callback)(void *) = options->profiling ? cl_sgemm_callback : NULL; - MORSE_BEGIN_ACCESS_DECLARATION; - MORSE_ACCESS_R(A, Am, An); - MORSE_ACCESS_R(B, Bm, Bn); - MORSE_ACCESS_RW(C, Cm, Cn); - MORSE_END_ACCESS_DECLARATION; + CHAMELEON_BEGIN_ACCESS_DECLARATION; + CHAMELEON_ACCESS_R(A, Am, An); + CHAMELEON_ACCESS_R(B, Bm, Bn); + CHAMELEON_ACCESS_RW(C, Cm, Cn);CHAMELEON_END_ACCESS_DECLARATION; starpu_insert_task( - starpu_mpi_codelet(codelet), - STARPU_VALUE, &transA, sizeof(MORSE_enum), - STARPU_VALUE, &transB, sizeof(MORSE_enum), - STARPU_VALUE, &m, sizeof(int), - STARPU_VALUE, &n, sizeof(int), - STARPU_VALUE, &k, sizeof(int), - STARPU_VALUE, &alpha, sizeof(float), - STARPU_R, EXAGEOSTAT_RTBLKADDR(A, MorseRealFloat, Am, An), - STARPU_VALUE, &lda, sizeof(int), - STARPU_R, EXAGEOSTAT_RTBLKADDR(B, MorseRealFloat, Bm, Bn), - STARPU_VALUE, &ldb, sizeof(int), - STARPU_VALUE, &beta, sizeof(float), - STARPU_RW, EXAGEOSTAT_RTBLKADDR(C, MorseRealFloat, Cm, Cn), - STARPU_VALUE, &ldc, sizeof(int), - STARPU_PRIORITY, options->priority, - STARPU_CALLBACK, callback, + starpu_mpi_codelet(codelet), + STARPU_VALUE, &transA, sizeof(CHAM_enum), + STARPU_VALUE, &transB, sizeof(CHAM_enum), + STARPU_VALUE, &m, sizeof(int), + STARPU_VALUE, &n, sizeof(int), + STARPU_VALUE, &k, sizeof(int), + STARPU_VALUE, &alpha, sizeof(float), + STARPU_R, EXAGEOSTAT_RTBLKADDR(A, ChamRealFloat, Am, An), + STARPU_VALUE, &lda, sizeof(int), + STARPU_R, EXAGEOSTAT_RTBLKADDR(B, ChamRealFloat, Bm, Bn), + STARPU_VALUE, &ldb, sizeof(int), + STARPU_VALUE, &beta, sizeof(float), + STARPU_RW, EXAGEOSTAT_RTBLKADDR(C, ChamRealFloat, Cm, Cn), + STARPU_VALUE, &ldc, sizeof(int), + STARPU_PRIORITY, options->priority, + STARPU_CALLBACK, callback, #if defined(CHAMELEON_CODELETS_HAVE_NAME) - STARPU_NAME, "sgemm", + STARPU_NAME, "sgemm", #endif - 0); + 0); } #if !defined(CHAMELEON_SIMULATION) -static void cl_sgemm_cpu_func(void *descr[], void *cl_arg) -{ - MORSE_enum transA; - MORSE_enum transB; + +static void cl_sgemm_cpu_func(void *descr[], void *cl_arg) { + CHAM_enum transA; + CHAM_enum transB; int m; int n; int k; @@ -89,22 +88,22 @@ static void cl_sgemm_cpu_func(void *descr[], void *cl_arg) float *C; int ldc; - A = (float *)STARPU_MATRIX_GET_PTR(descr[0]); - B = (float *)STARPU_MATRIX_GET_PTR(descr[1]); - C = (float *)STARPU_MATRIX_GET_PTR(descr[2]); + A = (float *) STARPU_MATRIX_GET_PTR(descr[0]); + B = (float *) STARPU_MATRIX_GET_PTR(descr[1]); + C = (float *) STARPU_MATRIX_GET_PTR(descr[2]); starpu_codelet_unpack_args(cl_arg, &transA, &transB, &m, &n, &k, &alpha, &lda, &ldb, &beta, &ldc); - CORE_sgemm(transA, transB, - m, n, k, - alpha, A, lda, - B, ldb, - beta, C, ldc); + CORE_dgemm(transA, transB, + m, n, k, + alpha, A, lda, + B, ldb, + beta, C, ldc); } #ifdef CHAMELEON_USE_CUDA static void cl_sgemm_cuda_func(void *descr[], void *cl_arg) { - MORSE_enum transA; - MORSE_enum transB; + CHAM_enum transA; + CHAM_enum transB; int m; int n; int k; @@ -125,12 +124,12 @@ static void cl_sgemm_cuda_func(void *descr[], void *cl_arg) RUNTIME_getStream( stream ); CUDA_sgemm( - transA, transB, - m, n, k, - &alpha, A, lda, - B, ldb, - &beta, C, ldc, - stream); + transA, transB, + m, n, k, + &alpha, A, lda, + B, ldb, + &beta, C, ldc, + stream); #ifndef STARPU_CUDA_ASYNC cudaStreamSynchronize( stream ); @@ -144,4 +143,4 @@ static void cl_sgemm_cuda_func(void *descr[], void *cl_arg) /* * Codelet definition */ -CODELETS(sexageostat_gemm, 3, cl_sgemm_cpu_func, cl_sgemm_cuda_func, STARPU_CUDA_ASYNC) +CODELETS(sexageostat_gemm, cl_sgemm_cpu_func, cl_sgemm_cuda_func, STARPU_CUDA_ASYNC) diff --git a/exageostat_exact/runtime/starpu/codelets/codelet_exageostat_strsm.c b/exageostat_exact/runtime/starpu/codelets/codelet_exageostat_strsm.c index 74b52a8..2274a50 100755 --- a/exageostat_exact/runtime/starpu/codelets/codelet_exageostat_strsm.c +++ b/exageostat_exact/runtime/starpu/codelets/codelet_exageostat_strsm.c @@ -11,9 +11,9 @@ * * @brief Chameleon strsm StarPU codelet * - * @version 1.0.0 + * @version 1.2.0 * @comment This file has been automatically generated - * from Plasma 2.5.0 for MORSE 1.0.0 + * from Plasma 2.5.0 for CHAMELEON 1.0.0 * @author Hatem Ltaief * @author Jakub Kurzak * @author Mathieu Faverge @@ -24,58 +24,57 @@ * */ #include "chameleon_starpu.h" -#include "runtime_codelet_s.h" +//#include +#include #include "../include/starpu_exageostat.h" + /** * - * @ingroup CORE_MORSE_Complex64_t + * @ingroup CORE_float * */ -//SCODELETS_HEADER(exageostat_trsm) -void MORSE_TASK_sexageostat_trsm(const MORSE_option_t *options, - MORSE_enum side, MORSE_enum uplo, MORSE_enum transA, MORSE_enum diag, - int m, int n, int nb, - float alpha, const MORSE_desc_t *A, int Am, int An, int lda, - const MORSE_desc_t *B, int Bm, int Bn, int ldb) -{ - (void)nb; +void EXAGEOSTAT_TASK_sexageostat_trsm(const RUNTIME_option_t *options, + CHAM_enum side, CHAM_enum uplo, CHAM_enum transA, CHAM_enum diag, + int m, int n, int nb, + float alpha, const CHAM_desc_t *A, int Am, int An, int lda, + const CHAM_desc_t *B, int Bm, int Bn, int ldb) { + (void) nb; struct starpu_codelet *codelet = &cl_strsm; - void (*callback)(void*) = options->profiling ? cl_strsm_callback : NULL; + void (*callback)(void *) = options->profiling ? cl_strsm_callback : NULL; - MORSE_BEGIN_ACCESS_DECLARATION; - MORSE_ACCESS_R(A, Am, An); - MORSE_ACCESS_RW(B, Bm, Bn); - MORSE_END_ACCESS_DECLARATION; + CHAMELEON_BEGIN_ACCESS_DECLARATION; + CHAMELEON_ACCESS_R(A, Am, An); + CHAMELEON_ACCESS_RW(B, Bm, Bn);CHAMELEON_END_ACCESS_DECLARATION; starpu_insert_task( - starpu_mpi_codelet(codelet), - STARPU_VALUE, &side, sizeof(MORSE_enum), - STARPU_VALUE, &uplo, sizeof(MORSE_enum), - STARPU_VALUE, &transA, sizeof(MORSE_enum), - STARPU_VALUE, &diag, sizeof(MORSE_enum), - STARPU_VALUE, &m, sizeof(int), - STARPU_VALUE, &n, sizeof(int), - STARPU_VALUE, &alpha, sizeof(float), - STARPU_R, EXAGEOSTAT_RTBLKADDR(A, MorseRealFloat, Am, An), - STARPU_VALUE, &lda, sizeof(int), - STARPU_RW, EXAGEOSTAT_RTBLKADDR(B, MorseRealFloat, Bm, Bn), - STARPU_VALUE, &ldb, sizeof(int), - STARPU_PRIORITY, options->priority, - STARPU_CALLBACK, callback, + starpu_mpi_codelet(codelet), + STARPU_VALUE, &side, sizeof(CHAM_enum), + STARPU_VALUE, &uplo, sizeof(CHAM_enum), + STARPU_VALUE, &transA, sizeof(CHAM_enum), + STARPU_VALUE, &diag, sizeof(CHAM_enum), + STARPU_VALUE, &m, sizeof(int), + STARPU_VALUE, &n, sizeof(int), + STARPU_VALUE, &alpha, sizeof(float), + STARPU_R, EXAGEOSTAT_RTBLKADDR(A, ChamRealFloat, Am, An), + STARPU_VALUE, &lda, sizeof(int), + STARPU_RW, EXAGEOSTAT_RTBLKADDR(B, ChamRealFloat, Bm, Bn), + STARPU_VALUE, &ldb, sizeof(int), + STARPU_PRIORITY, options->priority, + STARPU_CALLBACK, callback, #if defined(CHAMELEON_CODELETS_HAVE_NAME) - STARPU_NAME, "strsm", + STARPU_NAME, "strsm", #endif - 0); + 0); } #if !defined(CHAMELEON_SIMULATION) -static void cl_strsm_cpu_func(void *descr[], void *cl_arg) -{ - MORSE_enum side; - MORSE_enum uplo; - MORSE_enum transA; - MORSE_enum diag; + +static void cl_strsm_cpu_func(void *descr[], void *cl_arg) { + CHAM_enum side; + CHAM_enum uplo; + CHAM_enum transA; + CHAM_enum diag; int m; int n; float alpha; @@ -84,24 +83,24 @@ static void cl_strsm_cpu_func(void *descr[], void *cl_arg) float *B; int ldb; - A = (float *)STARPU_MATRIX_GET_PTR(descr[0]); - B = (float *)STARPU_MATRIX_GET_PTR(descr[1]); + A = (float *) STARPU_MATRIX_GET_PTR(descr[0]); + B = (float *) STARPU_MATRIX_GET_PTR(descr[1]); starpu_codelet_unpack_args(cl_arg, &side, &uplo, &transA, &diag, &m, &n, &alpha, &lda, &ldb); - // printf("%s, %f, %f, %f, %f, %f, %f, %f, %f, \n", __func__, A[0], A[1], A[2], A[3], B[0], B[1], B[2], B[3]); - CORE_strsm(side, uplo, - transA, diag, - m, n, - alpha, A, lda, - B, ldb); + // printf("%s, %f, %f, %f, %f, %f, %f, %f, %f, \n", __func__, A[0], A[1], A[2], A[3], B[0], B[1], B[2], B[3]); + CORE_dtrsm(side, uplo, + transA, diag, + m, n, + alpha, A, lda, + B, ldb); } #ifdef CHAMELEON_USE_CUDA static void cl_strsm_cuda_func(void *descr[], void *cl_arg) { - MORSE_enum side; - MORSE_enum uplo; - MORSE_enum transA; - MORSE_enum diag; + CHAM_enum side; + CHAM_enum uplo; + CHAM_enum transA; + CHAM_enum diag; int m; int n; float alpha; @@ -135,4 +134,4 @@ static void cl_strsm_cuda_func(void *descr[], void *cl_arg) /* * Codelet definition */ -CODELETS(sexageostat_trsm, 2, cl_strsm_cpu_func, cl_strsm_cuda_func, STARPU_CUDA_ASYNC) +CODELETS(sexageostat_trsm, cl_strsm_cpu_func, cl_strsm_cuda_func, STARPU_CUDA_ASYNC) diff --git a/exageostat_exact/runtime/starpu/codelets/codelet_g_to_ng.c b/exageostat_exact/runtime/starpu/codelets/codelet_g_to_ng.c new file mode 100644 index 0000000..2a93989 --- /dev/null +++ b/exageostat_exact/runtime/starpu/codelets/codelet_g_to_ng.c @@ -0,0 +1,122 @@ +/** + * + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology + * All rights reserved. + * + * ExaGeoStat is a software package provided by KAUST + **/ +/** + * + * @file codelet_g_to_ng.c + * + * StarPU codelet to Convert Gaussian measurements to non-Gaussian measurements. + * + * @version 1.2.0 + * + * @author Sagnik Mondal + * @author Sameh Abdulah + * @date 2022-11-09 + * + **/ +#include "../include/starpu_exageostat.h" + +static void CORE_g_to_ng_starpu(void *buffers[], void *cl_arg) { + int m, m0, i; + double* z; + double* theta; + theta = (double* ) malloc(6 * sizeof(double)); + z = (double* ) STARPU_MATRIX_GET_PTR(buffers[0]); + + starpu_codelet_unpack_args(cl_arg, &m, &m0, + &theta[0], &theta[1], &theta[2], + &theta[3], &theta[4], &theta[5]); + + //core function to convert Z tile from Gaussian to non-Gaussian. + core_g_to_ng(z, theta, m); +} + +static struct starpu_codelet cl_g_to_ng = + { + .where = STARPU_CPU, + .cpu_funcs = {CORE_g_to_ng_starpu}, + .nbuffers = 1, + .modes = {STARPU_RW}, + .name = "g_to_ng" + }; + +/******************************************************************************* + * + * @ingroup CHAMELEON_Complex64_t_Tile + * + * EXAGEOSTAT_g_to_ng_Tile_Async - Convert Gaussian measurements to non-Gaussian measurements. + * Operates on Z vector stored by tiles. + * All matrices are passed through descriptors. + * All dimensions are taken from the descriptors. + * + ******************************************************************************* + * + * @param[in] descZ + * descZ: Observed measurements descZ + * + * @param[in] theta + * theta: Model paramters + * + * @param[in] sequence + * Identifies the sequence of function calls that this call belongs to + * (for completion checks and exception handling purposes). + * + * @param[out] request + * Identifies this function call (for exception handling purposes). + * + ******************************************************************************* + * + * @return + * \retval CHAMELEON_SUCCESS successful exit + * + ******************************************************************************* + * + * + ******************************************************************************/ + +int EXAGEOSTAT_g_to_ng_Tile_Async(CHAM_desc_t *descZ, double* theta, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request) { + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + chamctxt = chameleon_context_self(); + if (sequence->status != CHAMELEON_SUCCESS) + return -2; + RUNTIME_options_init(&options, chamctxt, sequence, request); + + int m, m0; + int tempmm; + CHAM_desc_t Z = *descZ; + struct starpu_codelet *cl = &cl_g_to_ng; + + + for (m = 0; m < Z.mt; m++) { + tempmm = m == Z.mt - 1 ? Z.m - m * Z.mb : Z.mb; + + m0 = m * Z.mb; + + starpu_insert_task(starpu_mpi_codelet(cl), + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &m0, sizeof(int), + STARPU_RW, EXAGEOSTAT_RTBLKADDR(descZ, ChamRealDouble, m, 0), + STARPU_VALUE, &theta[0], sizeof(double), + STARPU_VALUE, &theta[1], sizeof(double), + STARPU_VALUE, &theta[2], sizeof(double), + STARPU_VALUE, &theta[3], sizeof(double), + STARPU_VALUE, &theta[4], sizeof(double), + STARPU_VALUE, &theta[5], sizeof(double), +#if defined(CHAMELEON_CODELETS_HAVE_NAME) + STARPU_NAME, "g_to_ng", +#endif + 0); + } + + RUNTIME_options_ws_free(&options); + RUNTIME_options_finalize(&options, chamctxt); + CHAMELEON_Sequence_Wait(sequence); + + return CHAMELEON_SUCCESS; +} diff --git a/exageostat_exact/runtime/starpu/codelets/codelet_ng_loglike.c b/exageostat_exact/runtime/starpu/codelets/codelet_ng_loglike.c new file mode 100644 index 0000000..2f9808f --- /dev/null +++ b/exageostat_exact/runtime/starpu/codelets/codelet_ng_loglike.c @@ -0,0 +1,131 @@ +/** + * + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology + * All rights reserved. + * + * ExaGeoStat is a software package provided by KAUST + **/ +/** + * + * @file codelet_ng_loglike.c + * + * StarPU codelet to Calculate the loglikelihood of non-Gaussian MLE. + * + * @version 1.2.0 + * + * @author Sagnik Mondal + * @author Sameh Abdulah + * @date 2022-11-09 + * + **/ +#include "../include/starpu_exageostat.h" + +static void CORE_ng_loglike_starpu(void *buffers[], void *cl_arg) { + int m, m0, i; + double* z; + double* theta; + double sum = 0; + double* s = ∑ + + theta = (double* ) malloc(6 * sizeof(double)); + z = (double* ) STARPU_MATRIX_GET_PTR(buffers[0]); + s = (double* ) STARPU_MATRIX_GET_PTR(buffers[1]); + + starpu_codelet_unpack_args(cl_arg, &m, &m0, + &theta[0], &theta[1], &theta[2], + &theta[3], &theta[4], &theta[5]); + + double local_sum = core_ng_loglike(z, theta, m); + *s += local_sum; +} + +static struct starpu_codelet cl_ng_loglike = + { + .where = STARPU_CPU, + .cpu_funcs = {CORE_ng_loglike_starpu}, + .nbuffers = 2, + .modes = {STARPU_R, STARPU_RW}, //Read access to Z and Read/Write access to the sum. + .name = "ng_loglike" + }; + +/******************************************************************************* + * + * @ingroup CHAMELEON_Complex64_t_Tile + * + * EXAGEOSTAT_ng_loglike_Tile_Async - Calculate the loglikelihood of non-Gaussian MLE. + * Operates on vectors stored by tiles. + * All matrices are passed through descriptors. + * All dimensions are taken from the descriptors. + * + ******************************************************************************* + * + * @param[in] descZ + * descZpre: Observed measurements descZ. + * + * @param[out] descSum + * descSum: The loglikelihood Sum of descriptor Z. + * + * @param[int] theta + * descerror: Model parameters. + * + * @param[in] sequence + * Identifies the sequence of function calls that this call belongs to + * (for completion checks and exception handling purposes). + * + * @param[out] request + * Identifies this function call (for exception handling purposes). + * + ******************************************************************************* + * + * @return + * \retval CHAMELEON_SUCCESS successful exit + * + ******************************************************************************* + * + * + ******************************************************************************/ + +int EXAGEOSTAT_ng_loglike_Tile_Async(CHAM_desc_t *descZ, CHAM_desc_t *descsum, double* theta, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request) { + + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + chamctxt = chameleon_context_self(); + if (sequence->status != CHAMELEON_SUCCESS) + return -2; + RUNTIME_options_init(&options, chamctxt, sequence, request); + + int m, m0; + int tempmm; + CHAM_desc_t Z = *descZ; + CHAM_desc_t sum = *descsum; + struct starpu_codelet *cl = &cl_ng_loglike; + + + for (m = 0; m < Z.mt; m++) { + tempmm = m == Z.mt - 1 ? Z.m - m * Z.mb : Z.mb; + + m0 = m * Z.mb; + + starpu_insert_task(starpu_mpi_codelet(cl), + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &m0, sizeof(int), + STARPU_R, EXAGEOSTAT_RTBLKADDR(descZ, ChamRealDouble, m, 0), + STARPU_RW, EXAGEOSTAT_RTBLKADDR(descsum, ChamRealDouble, 0, 0), + STARPU_VALUE, &theta[0], sizeof(double), + STARPU_VALUE, &theta[1], sizeof(double), + STARPU_VALUE, &theta[2], sizeof(double), + STARPU_VALUE, &theta[3], sizeof(double), + STARPU_VALUE, &theta[4], sizeof(double), + STARPU_VALUE, &theta[5], sizeof(double), +#if defined(CHAMELEON_CODELETS_HAVE_NAME) + STARPU_NAME, "ng_loglike", +#endif + 0); + } + + RUNTIME_options_ws_free(&options); + RUNTIME_options_finalize(&options, chamctxt); + CHAMELEON_Sequence_Wait(sequence); + return CHAMELEON_SUCCESS; +} \ No newline at end of file diff --git a/exageostat_exact/runtime/starpu/codelets/codelet_ng_transform.c b/exageostat_exact/runtime/starpu/codelets/codelet_ng_transform.c new file mode 100644 index 0000000..aeae6ec --- /dev/null +++ b/exageostat_exact/runtime/starpu/codelets/codelet_ng_transform.c @@ -0,0 +1,129 @@ +/** + * + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology + * All rights reserved. + * + * ExaGeoStat is a software package provided by KAUST + **/ +/** + * + * @file codelet_ng_transform.c + * + * StarPU codelet to Transform the measurements vector inside the non-Gaussian MLE function. + * + * @version 1.2.0 + * + * @author Sagnik Mondal + * @author Sameh Abdulah + * @date 2022-11-09 + * + **/ +#include "../include/starpu_exageostat.h" + +static void CORE_ng_transform_starpu(void *buffers[], void *cl_arg) { + int m, m0; + double* z; + double* theta; + double flag = 0; + double* all_flags = &flag; + *all_flags = 0; + + theta = (double* ) malloc(6 * sizeof(double)); + z = (double* ) STARPU_MATRIX_GET_PTR(buffers[0]); + all_flags = (double* ) STARPU_MATRIX_GET_PTR(buffers[1]); //to be removed + + starpu_codelet_unpack_args(cl_arg, &m, &m0, /*&flag,*/ + &theta[0], &theta[1], &theta[2], + &theta[3], &theta[4], &theta[5]); + + double local_flag = 0.0;// = core_dmdet(A, m, n, m0, n0); + + //Transform the measurements vector inside the non-Gaussian MLE function. + core_ng_transform(z, &local_flag, theta, m); +} + +static struct starpu_codelet cl_ng_transform = + { + .where = STARPU_CPU, + .cpu_funcs = {CORE_ng_transform_starpu}, + .nbuffers = 2, + .modes = {STARPU_RW, STARPU_W}, + .name = "ng_transform" + }; + +/******************************************************************************* + * + * @ingroup CHAMELEON_Complex64_t_Tile + * + * EXAGEOSTAT_ng_transform_Tile_Async - Transform the measurements vector inside the non-Gaussian MLE function. + * Operates on vectors stored by tiles. + * All matrices are passed through descriptors. + * All dimensions are taken from the descriptors. + * + ******************************************************************************* + * + * @param[in] descZ + * descZ: Observed measurements descZpre + * + * @param[in] theta + * theta: Model parameters. + * + * @param[in] sequence + * Identifies the sequence of function calls that this call belongs to + * (for completion checks and exception handling purposes). + * + * @param[out] request + * Identifies this function call (for exception handling purposes). + * + ******************************************************************************* + * + * @return + * \retval CHAMELEON_SUCCESS successful exit + * + ******************************************************************************* + * + * + ******************************************************************************/ + +int EXAGEOSTAT_ng_transform_Tile_Async(CHAM_desc_t *descZ, CHAM_desc_t *descflag, const double* theta, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request) { + + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + chamctxt = chameleon_context_self(); + if (sequence->status != CHAMELEON_SUCCESS) + return -2; + RUNTIME_options_init(&options, chamctxt, sequence, request); + + int m, m0; + int tempmm; + CHAM_desc_t Z = *descZ; + struct starpu_codelet *cl = &cl_ng_transform; + + + for (m = 0; m < Z.mt; m++) { + tempmm = m == Z.mt - 1 ? Z.m - m * Z.mb : Z.mb; + m0 = m * Z.mb; + + starpu_insert_task(starpu_mpi_codelet(cl), + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &m0, sizeof(int), + STARPU_RW, EXAGEOSTAT_RTBLKADDR(descZ, ChamRealDouble, m, 0), + STARPU_W, EXAGEOSTAT_RTBLKADDR(descflag, ChamRealDouble, 0, 0), + //STARPU_VALUE, &flag, sizeof(int), + STARPU_VALUE, &theta[0], sizeof(double), + STARPU_VALUE, &theta[1], sizeof(double), + STARPU_VALUE, &theta[2], sizeof(double), + STARPU_VALUE, &theta[3], sizeof(double), + STARPU_VALUE, &theta[4], sizeof(double), + STARPU_VALUE, &theta[5], sizeof(double), +#if defined(CHAMELEON_CODELETS_HAVE_NAME) + STARPU_NAME, "ng_transform", +#endif + 0); + } + RUNTIME_options_ws_free(&options); + RUNTIME_options_finalize(&options, chamctxt); + CHAMELEON_Sequence_Wait(sequence); + return CHAMELEON_SUCCESS; +} \ No newline at end of file diff --git a/exageostat_exact/runtime/starpu/codelets/codelet_print.c b/exageostat_exact/runtime/starpu/codelets/codelet_print.c index 4d53d8c..61a3641 100644 --- a/exageostat_exact/runtime/starpu/codelets/codelet_print.c +++ b/exageostat_exact/runtime/starpu/codelets/codelet_print.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,24 +11,20 @@ * * StarPU codelet to Generate covariance matrix of a set of locations in 2D using Matern kernel. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2018-11-11 + * @date 2022-11-09 * **/ #include "../include/starpu_exageostat.h" static void CORE_dprint_starpu(void *buffers[],void *cl_arg){ int m, n, m0, n0; - double *A; - A = (double *)STARPU_MATRIX_GET_PTR(buffers[0]); - + double* A; + A = (double* )STARPU_MATRIX_GET_PTR(buffers[0]); starpu_codelet_unpack_args(cl_arg, &m, &n, &m0, &n0); - - core_dprint(A, m, n, m0, n0); - } static struct starpu_codelet cl_dprint = @@ -46,11 +42,8 @@ static void CORE_sprint_starpu(void *buffers[],void *cl_arg){ int m, n, m0, n0; float *A; A = (float *) STARPU_MATRIX_GET_PTR(buffers[0]); - starpu_codelet_unpack_args(cl_arg, &m, &n, &m0, &n0); - core_sprint(A, m, n, m0, n0); - } static struct starpu_codelet cl_sprint = @@ -62,13 +55,11 @@ static struct starpu_codelet cl_sprint = .name = "sprint" }; - - /******************************************************************************* * - * @ingroup MORSE_Complex64_t_Tile + * @ingroup CHAMELEON_Complex64_t_Tile * - * MORSE_MLE_dprint_Tile_Async - Codelet to generate covariance matrix in descriptor descA in dense format between two sets of locations (l1, l2) (Matern Kernel). + * CHAMELEON_MLE_dprint_Tile_Async - Codelet to generate covariance matrix in descriptor descA in dense format between two sets of locations (l1, l2) (Matern Kernel). * Operates on matrices stored by tiles. * All matrices are passed through descriptors. * All dimensions are taken from the descriptors. @@ -103,33 +94,30 @@ static struct starpu_codelet cl_sprint = ******************************************************************************* * * @return - * \retval MORSE_SUCCESS successful exit + * \retval CHAMELEON_SUCCESS successful exit * ******************************************************************************* * * ******************************************************************************/ -int MORSE_MLE_dprint_Tile_Async(MORSE_desc_t *descA, MORSE_sequence_t *sequence, MORSE_request_t *request) { - - MORSE_context_t *morse; - MORSE_option_t options; - morse = morse_context_self(); +int CHAMELEON_MLE_dprint_Tile_Async(CHAM_desc_t *descA, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request) { + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + chamctxt = chameleon_context_self(); - if (sequence->status != MORSE_SUCCESS) + if (sequence->status != CHAMELEON_SUCCESS) return -2; - RUNTIME_options_init(&options, morse, sequence, request); - + RUNTIME_options_init(&options, chamctxt, sequence, request); int m, n, m0, n0; int tempmm, tempnn; - MORSE_desc_t A = *descA; + CHAM_desc_t A = *descA; struct starpu_codelet *cl=&cl_dprint; for(m = 0; m < A.mt; m++) { tempmm = m == A.mt -1 ? A.m- m* A.mb : A.mb; - for (n = 0; n < A.nt; n++) { tempnn = n == A.nt -1 ? A.n - n * A.nb : A.nb; @@ -140,24 +128,20 @@ int MORSE_MLE_dprint_Tile_Async(MORSE_desc_t *descA, MORSE_sequence_t *sequence, STARPU_VALUE, &tempnn, sizeof(int), STARPU_VALUE, &m0, sizeof(int), STARPU_VALUE, &n0, sizeof(int), - STARPU_RW, RTBLKADDR(descA, sizeof(double)*ldam*tempnn, m, n), - 0); - + STARPU_RW, RTBLKADDR(descA, sizeof(double)*ldam*tempnn, m, n), 0); } - } RUNTIME_options_ws_free(&options); - RUNTIME_options_finalize(&options, morse); - return MORSE_SUCCESS; + RUNTIME_options_finalize(&options, chamctxt); + return CHAMELEON_SUCCESS; } - /******************************************************************************* * - * @ingroup MORSE_Complex32_t_Tile + * @ingroup CHAMELEON_Complex32_t_Tile * - * MORSE_MLE_sprint_Tile_Async - Calculate covariance matrix descA. + * CHAMELEON_MLE_sprint_Tile_Async - Calculate covariance matrix descA. * Operates on matrices stored by tiles. * All matrices are passed through descriptors. * All dimensions are taken from the descriptors. @@ -189,32 +173,28 @@ int MORSE_MLE_dprint_Tile_Async(MORSE_desc_t *descA, MORSE_sequence_t *sequence, ******************************************************************************* * * @return - * \retval MORSE_SUCCESS successful exit + * \retval CHAMELEON_SUCCESS successful exit * ******************************************************************************* * * ******************************************************************************/ +int CHAMELEON_MLE_sprint_Tile_Async(CHAM_desc_t *descA, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request) { -int MORSE_MLE_sprint_Tile_Async(MORSE_desc_t *descA, MORSE_sequence_t *sequence, MORSE_request_t *request) { + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + chamctxt = chameleon_context_self(); - MORSE_context_t *morse; - MORSE_option_t options; - morse = morse_context_self(); - - - if (sequence->status != MORSE_SUCCESS) + if (sequence->status != CHAMELEON_SUCCESS) return -2; - RUNTIME_options_init(&options, morse, sequence, request); - + RUNTIME_options_init(&options, chamctxt, sequence, request); int m, n, m0, n0; int tempmm, tempnn; - MORSE_desc_t A = *descA; + CHAM_desc_t A = *descA; struct starpu_codelet *cl=&cl_sprint; - for(m = 0; m < A.mt; m++) { tempmm = m == A.mt -1 ? A.m- m* A.mb : A.mb; @@ -229,39 +209,32 @@ int MORSE_MLE_sprint_Tile_Async(MORSE_desc_t *descA, MORSE_sequence_t *sequence, STARPU_VALUE, &tempnn, sizeof(int), STARPU_VALUE, &m0, sizeof(int), STARPU_VALUE, &n0, sizeof(int), - STARPU_RW, RTBLKADDR(descA, sizeof(float)*ldam*tempnn, m, n), - 0); - + STARPU_RW, RTBLKADDR(descA, sizeof(float)*ldam*tempnn, m, n), 0); } - } RUNTIME_options_ws_free(&options); - RUNTIME_options_finalize(&options, morse); - return MORSE_SUCCESS; + RUNTIME_options_finalize(&options, chamctxt); + return CHAMELEON_SUCCESS; } - /*******************************************************************************/ -int MORSE_MLE_sdprint_Tile_Async(MORSE_desc_t *descA, MORSE_sequence_t *sequence, MORSE_request_t *request, int diag_thick) { +int CHAMELEON_MLE_sdprint_Tile_Async(CHAM_desc_t *descA, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request, int diag_thick) { - MORSE_context_t *morse; - MORSE_option_t options; - morse = morse_context_self(); + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + chamctxt = chameleon_context_self(); - - if (sequence->status != MORSE_SUCCESS) + if (sequence->status != CHAMELEON_SUCCESS) return -2; - RUNTIME_options_init(&options, morse, sequence, request); - + RUNTIME_options_init(&options, chamctxt, sequence, request); int m, n, m0, n0; int tempmm, tempnn; - MORSE_desc_t A = *descA; + CHAM_desc_t A = *descA; struct starpu_codelet *dcl = &cl_dprint; struct starpu_codelet *scl = &cl_sprint; - for(m = 0; m < A.mt; m++) { tempmm = m == A.mt -1 ? A.m- m* A.mb : A.mb; @@ -279,8 +252,7 @@ int MORSE_MLE_sdprint_Tile_Async(MORSE_desc_t *descA, MORSE_sequence_t *sequence STARPU_VALUE, &tempnn, sizeof(int), STARPU_VALUE, &m0, sizeof(int), STARPU_VALUE, &n0, sizeof(int), - STARPU_RW, RTBLKADDR(descA, sizeof(double)*ldam*tempnn, m, n), - 0); + STARPU_RW, RTBLKADDR(descA, sizeof(double)*ldam*tempnn, m, n), 0); } else //for now is the same because the descriptor should be with one type. { @@ -290,16 +262,12 @@ int MORSE_MLE_sdprint_Tile_Async(MORSE_desc_t *descA, MORSE_sequence_t *sequence STARPU_VALUE, &tempnn, sizeof(int), STARPU_VALUE, &m0, sizeof(int), STARPU_VALUE, &n0, sizeof(int), - STARPU_RW, RTBLKADDR(descA, sizeof(float)*ldam*tempnn, m, n), - 0); + STARPU_RW, RTBLKADDR(descA, sizeof(float)*ldam*tempnn, m, n), 0); } } - } - RUNTIME_options_ws_free(&options); - RUNTIME_options_finalize(&options, morse); - return MORSE_SUCCESS; -} - + RUNTIME_options_finalize(&options, chamctxt); + return CHAMELEON_SUCCESS; +} \ No newline at end of file diff --git a/exageostat_exact/runtime/starpu/codelets/codelet_sdconv.c b/exageostat_exact/runtime/starpu/codelets/codelet_sdconv.c index 41711f9..8efe7a4 100755 --- a/exageostat_exact/runtime/starpu/codelets/codelet_sdconv.c +++ b/exageostat_exact/runtime/starpu/codelets/codelet_sdconv.c @@ -1,6 +1,6 @@ /** * - * @copyright (c) 2017-2020 King Abdullah University of + * @copyright (c) 2017-2023 King Abdullah University of * Sience and technelogy (KAUST). * All rights reserved. * @@ -10,41 +10,38 @@ * * @file codelet_sdconv.c * - * MORSE codelets kernel + * CHAMELEON codelets kernel * - * @version 1.1.0 + * @version 1.2.0 * @comment This file has been automatically generated - * from Plasma 2.5.0 for MORSE 1.0.0 + * from Plasma 2.5.0 for CHAMELEON 1.0.0 * @author Sameh Abdulah * @date 2019-01-27 * @precisions mixed zc -> ds * **/ -//#include "../../../../include/coreblas_ds.h" #include "chameleon_starpu.h" -#include "runtime_codelet_d.h" #include "../include/starpu_exageostat.h" + /** * - * @ingroup CORE_MorseRealDouble + * @ingroup CORE_ChamRealDouble * **/ -static void cl_sdconv_cpu_func(void *descr[], void *cl_arg) -{ +static void cl_sdconv_cpu_func(void *descr[], void *cl_arg) { int m; int n; float *A; int lda; - double *B; + double* B; int ldb; - A = (float *)STARPU_MATRIX_GET_PTR(descr[0]); - B = (double *)STARPU_MATRIX_GET_PTR(descr[1]); + A = (float *) STARPU_MATRIX_GET_PTR(descr[0]); + B = (double* ) STARPU_MATRIX_GET_PTR(descr[1]); starpu_codelet_unpack_args(cl_arg, &m, &n, &lda, &ldb); - //printf("CPUCORE_slag2d**********\n"); - core_slag2d( m, n, A, lda, B, ldb); + core_slag2d(m, n, A, lda, B, ldb); } #if defined(EXAGEOSTAT_USE_CUDA) @@ -55,108 +52,50 @@ static void cl_sdconv_cuda_func(void *descr[], void *cl_arg) int n; float *A; int lda; - double *B; + double* B; int ldb; int *info; A = (float *)STARPU_MATRIX_GET_PTR(descr[0]); - B = (double *)STARPU_MATRIX_GET_PTR(descr[1]); + B = (double* )STARPU_MATRIX_GET_PTR(descr[1]); starpu_codelet_unpack_args(cl_arg, &m, &n, &lda, &ldb); - // RUNTIME_getStream(stream); cudaStream_t stream = starpu_cuda_get_local_stream(); float2double_array( m, n, A, lda, B, ldb, CUBLAS_OP_T, stream); - - //#ifndef STARPU_CUDA_ASYNC cudaStreamSynchronize( stream ); - //#endif - } #endif /* defined(EXAGEOSTAT_USE_CUDA) */ - static struct starpu_codelet cl_sdconv = -{ - .where = STARPU_CPU | STARPU_CUDA, - .cpu_func = {cl_sdconv_cpu_func}, + { + .where = STARPU_CPU | STARPU_CUDA, + .cpu_func = {cl_sdconv_cpu_func}, #if defined(EXAGEOSTAT_USE_CUDA) - .cuda_func = {cl_sdconv_cuda_func}, + .cuda_func = {cl_sdconv_cuda_func}, #endif - .nbuffers = 2, - .modes = {STARPU_R, STARPU_W}, - .name = "sdconv" -}; -void MORSE_TASK_sdconv(const MORSE_option_t *options, - int m, int n, int nb, - const MORSE_desc_t *A, int Am, int An, int lda, - const MORSE_desc_t *B, int Bm, int Bn, int ldb) -{ - (void)nb; + .nbuffers = 2, + .modes = {STARPU_R, STARPU_W}, + .name = "sdconv" + }; + +void EXAGEOSTAT_TASK_sdconv(const RUNTIME_option_t *options, + int m, int n, int nb, + const CHAM_desc_t *A, int Am, int An, int lda, + const CHAM_desc_t *B, int Bm, int Bn, int ldb) { + (void) nb; struct starpu_codelet *codelet = &cl_sdconv; - //void (*callback)(void*) = options->profiling ? cl_sdconv_callback : NULL; - // int execution_rank = B->get_rankof( B, Bm, Bn ); - - // MORSE_BEGIN_ACCESS_DECLARATION; - // MORSE_ACCESS_R(A, Am, An); - // MORSE_ACCESS_W(B, Bm, Bn); - // MORSE_END_ACCESS_DECLARATION; starpu_insert_task( starpu_mpi_codelet(codelet), - STARPU_VALUE, &m, sizeof(int), - STARPU_VALUE, &n, sizeof(int), - STARPU_R, EXAGEOSTAT_RTBLKADDR(A, MorseRealFloat, Am, An), - STARPU_VALUE, &lda, sizeof(int), - STARPU_W, EXAGEOSTAT_RTBLKADDR(B, MorseRealDouble, Bm, Bn), - STARPU_VALUE, &ldb, sizeof(int), - STARPU_PRIORITY, options->priority, - // STARPU_CALLBACK, callback, - //#if defined(CHAMELEON_USE_MPI) - // STARPU_EXECUTE_ON_NODE, execution_rank, - //#endif + STARPU_VALUE, &m, sizeof(int), + STARPU_VALUE, &n, sizeof(int), + STARPU_R, EXAGEOSTAT_RTBLKADDR(A, ChamRealFloat, Am, An), + STARPU_VALUE, &lda, sizeof(int), + STARPU_W, EXAGEOSTAT_RTBLKADDR(B, ChamRealDouble, Bm, Bn), + STARPU_VALUE, &ldb, sizeof(int), + STARPU_PRIORITY, options->priority, + #if defined(CHAMELEON_CODELETS_HAVE_NAME) STARPU_NAME, "sdconv", #endif 0); - - - - -} - - -/* - void MORSE_TASK_sdconv(const MORSE_option_t *options, - int m, int n, int nb, - const MORSE_desc_t *A, int Am, int An, int lda, - const MORSE_desc_t *B, int Bm, int Bn, int ldb) - { - (void)nb; - struct starpu_codelet *codelet = &cl_sdconv; - void (*callback)(void*) = options->profiling ? cl_sdconv_callback : NULL; - - if ( morse_desc_islocal( A, Am, An ) || - morse_desc_islocal( B, Bm, Bn ) ) - { - starpu_insert_task( - starpu_mpi_codelet(codelet), - STARPU_VALUE, &m, sizeof(int), - STARPU_VALUE, &n, sizeof(int), - STARPU_R, RTBLKADDR(A, MorseRealFloat, Am, An), - STARPU_VALUE, &lda, sizeof(int), - STARPU_W, RTBLKADDR(B, MorseRealDouble, Bm, Bn), - STARPU_VALUE, &ldb, sizeof(int), - STARPU_PRIORITY, options->priority, - STARPU_CALLBACK, callback, -#if defined(CHAMELEON_CODELETS_HAVE_NAME) -STARPU_NAME, "sdconv", -#endif -0); -} -} -*/ - - -/* - * Codelet definition - */ -//CODELETS_CPU(sdconv, 1, cl_sdconv_cpu_func) +} \ No newline at end of file diff --git a/exageostat_exact/runtime/starpu/codelets/codelet_sdconv_trash.c b/exageostat_exact/runtime/starpu/codelets/codelet_sdconv_trash.c index 350ef15..6f57e14 100755 --- a/exageostat_exact/runtime/starpu/codelets/codelet_sdconv_trash.c +++ b/exageostat_exact/runtime/starpu/codelets/codelet_sdconv_trash.c @@ -1,5 +1,5 @@ /** - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * @copyright (c) 2009-2014 The University of Tennessee and The University * of Tennessee Research Foundation. @@ -13,13 +13,13 @@ * * @file codelet_sdconv.c * - * MORSE codelets kernel - * MORSE is a software package provided by Univ. of Tennessee, + * CHAM codelets kernel + * CHAM is a software package provided by Univ. of Tennessee, * Univ. of California Berkeley and Univ. of Colorado Denver * - * @version 1.1.0 + * @version 1.2.0 * @comment This file has been automatically generated - * from Plasma 2.5.0 for MORSE 1.0.0 + * from Plasma 2.5.0 for CHAM 1.0.0 * @author Sameh Abdulah * @author Hatem Ltaief * @author Jakub Kurzak @@ -34,7 +34,7 @@ #include "../include/starpu_exageostat.h" /** * - * @ingroup CORE_MORSE_Complex64_t + * @ingroup CORE_CHAMELEON_Complex64_t * **/ @@ -44,33 +44,17 @@ static void cl_sdconv_cpu_func(void *descr[], void *cl_arg) int m; int n; float *A; - double *B; + double* B; A = (float *)STARPU_MATRIX_GET_PTR(descr[0]); - B = (double *)STARPU_MATRIX_GET_PTR(descr[1]); + B = (double* )STARPU_MATRIX_GET_PTR(descr[1]); starpu_codelet_unpack_args(cl_arg, &m, &n); - - core_sdconv(A, B, m, n); + core_szdconv(A, B, m, n); } #ifdef CHAMELEON_USE_CUDA static void cl_sdconv_cuda_func(void *descr[], void *cl_arg) { -/* int m; - int n; - float *A; - double *B; - - A = (double *)STARPU_MATRIX_GET_PTR(descr[0]); - B = (float *)STARPU_MATRIX_GET_PTR(descr[1]); - starpu_codelet_unpack_args(cl_arg, &m, &n); - cuda_sdconv(A, B, m, n, stream ); -#ifndef STARPU_CUDA_ASYNC - cudaStreamSynchronize( stream ); -#endif - - return; -*/ } #endif /* CHAMELEON_USE_CUDA */ @@ -86,14 +70,13 @@ static struct starpu_codelet cl_sdconv = }; -void MORSE_TASK_sdconv(const MORSE_option_t *options, +void EXAGEOSTAT_TASK_sdconv(const RUNTIME_option_t *options, int m, int n, int nb, - const MORSE_desc_t *A, int Am, int An, int lda, - const MORSE_desc_t *B, int Bm, int Bn, int ldb) + const CHAM_desc_t *A, int Am, int An, int lda, + const CHAM_desc_t *B, int Bm, int Bn, int ldb) { (void)nb; struct starpu_codelet *codelet = &cl_sdconv; - //void (*callback)(void*) = options->profiling ? cl_sdonv_callback : NULL; int sizeA = lda*m; int sizeB = ldb*n; int execution_rank = B->get_rankof( B, Bm, Bn ); @@ -102,7 +85,7 @@ void MORSE_TASK_sdconv(const MORSE_option_t *options, /* force execution on the rank owning the largest data (tile) */ int threshold; - char* env = getenv("MORSE_COMM_FACTOR_THRESHOLD"); + char* env = getenv("CHAMELEON_COMM_FACTOR_THRESHOLD"); if (env != NULL) threshold = (unsigned)atoi(env); else @@ -112,23 +95,20 @@ void MORSE_TASK_sdconv(const MORSE_option_t *options, rank_changed=1; } - MORSE_BEGIN_ACCESS_DECLARATION; - MORSE_ACCESS_R(A, Am, An); - MORSE_ACCESS_RW(B, Bm, Bn); + CHAMELEON_BEGIN_ACCESS_DECLARATION; + CHAMELEON_ACCESS_R(A, Am, An); + CHAMELEON_ACCESS_RW(B, Bm, Bn); if (rank_changed) - MORSE_RANK_CHANGED(execution_rank); - MORSE_END_ACCESS_DECLARATION; + CHAMELEON_RANK_CHANGED(execution_rank); + CHAMELEON_END_ACCESS_DECLARATION; starpu_insert_task( starpu_mpi_codelet(codelet), STARPU_VALUE, &m, sizeof(int), STARPU_VALUE, &n, sizeof(int), STARPU_R, RTBLKADDR(A, float, Am, An), - //STARPU_VALUE, &lda, sizeof(int), STARPU_RW, RTBLKADDR(B, double, Bm, Bn), - //STARPU_VALUE, &ldb, sizeof(int), STARPU_PRIORITY, options->priority, - // STARPU_CALLBACK, callback, #if defined(CHAMELEON_USE_MPI) STARPU_EXECUTE_ON_NODE, execution_rank, #endif @@ -138,10 +118,7 @@ void MORSE_TASK_sdconv(const MORSE_option_t *options, 0); } - - - /* * Codelet definition */ -CODELETS(sdcov, 2, cl_sdconv_cpu_func, cl_sdconv_cuda_func, STARPU_CUDA_ASYNC) +CODELETS(sdcov, 2, cl_sdconv_cpu_func, cl_sdconv_cuda_func, STARPU_CUDA_ASYNC) \ No newline at end of file diff --git a/exageostat_exact/runtime/starpu/codelets/codelet_sdmat_reg.c b/exageostat_exact/runtime/starpu/codelets/codelet_sdmat_reg.c index 81f2b8f..df7a054 100644 --- a/exageostat_exact/runtime/starpu/codelets/codelet_sdmat_reg.c +++ b/exageostat_exact/runtime/starpu/codelets/codelet_sdmat_reg.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,7 +11,7 @@ * * StarPU codelet to Generate covariance matrix of a set of locations in 2D using Matern kernel. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah * @date 2019-02-23 @@ -19,27 +19,25 @@ **/ #include "../include/starpu_exageostat.h" -static void cl_sdmat_reg_cpu_func(void *buffers[],void *cl_arg){ - double *A; - A = (double *)STARPU_MATRIX_GET_PTR(buffers[0]); +static void cl_sdmat_reg_cpu_func(void *buffers[], void *cl_arg) { + double* A; + A = (double* ) STARPU_MATRIX_GET_PTR(buffers[0]); } - static struct starpu_codelet cl_sdmat_reg = -{ - .where = STARPU_CPU, - .cpu_func = cl_sdmat_reg_cpu_func, - .nbuffers = 1, - .modes = {STARPU_W}, - .name = "dmat_reg" -}; - + { + .where = STARPU_CPU, + .cpu_func = cl_sdmat_reg_cpu_func, + .nbuffers = 1, + .modes = {STARPU_W}, + .name = "dmat_reg" + }; /******************************************************************************* * - * @ingroup MORSE_Complex64_t_Tile + * @ingroup CHAMELEON_Complex64_t_Tile * - * MORSE_MLE_sdmat_reg_Tile_Async - Codelet to register the lower part of the matrix as souble and the upper one as float. + * EXAGEOSTAT_MLE_sdmat_reg_Tile_Async - Codelet to register the lower part of the matrix as souble and the upper one as float. * Operates on matrices stored by tiles. * All matrices are passed through buffersiptors. * All dimensions are taken from the buffersiptors. @@ -50,7 +48,7 @@ static struct starpu_codelet cl_sdmat_reg = * Upper or lower fill of the matrix. * * @param[out] descA - * descA: Morse buffersiptor that handles the generated covariance matrix. + * descA: Chameleon buffersiptor that handles the generated covariance matrix. * * @param[in] sequence * Identifies the sequence of function calls that this call belongs to @@ -63,44 +61,35 @@ static struct starpu_codelet cl_sdmat_reg = ******************************************************************************* * * @return - * \retval MORSE_SUCCESS successful exit + * \retval CHAMELEON_SUCCESS successful exit * ******************************************************************************* * * ******************************************************************************/ -void MORSE_MLE_sdmat_reg_Tile_Async(MORSE_enum uplo, MORSE_desc_t *descA, MORSE_sequence_t *sequence, MORSE_request_t *request) { +void EXAGEOSTAT_MLE_sdmat_reg_Tile_Async(CHAM_enum uplo, CHAM_desc_t *descA, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request) { int n, m; - MORSE_context_t *morse; - MORSE_option_t options; - morse = morse_context_self(); - // if (sequence->status != MORSE_SUCCESS) - // return -2; - RUNTIME_options_init(&options, morse, sequence, request); + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + chamctxt = chameleon_context_self(); + RUNTIME_options_init(&options, chamctxt, sequence, request); - MORSE_desc_t A = *descA; - struct starpu_codelet *cl=&cl_sdmat_reg; + CHAM_desc_t A = *descA; + struct starpu_codelet *cl = &cl_sdmat_reg; for (n = 0; n < A.nt; n++) { - for(m = 0; m < A.mt; m++) - { - - if( n>m) + for (m = 0; m < A.mt; m++) { + if (n > m) starpu_insert_task(starpu_mpi_codelet(cl), - STARPU_W, EXAGEOSTAT_RTBLKADDR(descA, MorseRealFloat, m, n), - 0); + STARPU_W, EXAGEOSTAT_RTBLKADDR(descA, ChamRealFloat, m, n), 0); else starpu_insert_task(starpu_mpi_codelet(cl), - STARPU_W, EXAGEOSTAT_RTBLKADDR(descA, MorseRealDouble, m, n), - 0); + STARPU_W, EXAGEOSTAT_RTBLKADDR(descA, ChamRealDouble, m, n), 0); } - } RUNTIME_options_ws_free(&options); - RUNTIME_options_finalize(&options, morse); - // return MORSE_SUCCESS; -} - - + RUNTIME_options_finalize(&options, chamctxt); +} \ No newline at end of file diff --git a/exageostat_exact/runtime/starpu/codelets/codelet_stride_vec.c b/exageostat_exact/runtime/starpu/codelets/codelet_stride_vec.c index aad5816..6066c3a 100644 --- a/exageostat_exact/runtime/starpu/codelets/codelet_stride_vec.c +++ b/exageostat_exact/runtime/starpu/codelets/codelet_stride_vec.c @@ -1,70 +1,59 @@ /* - * Copyright (c) 2017-2020, King Abdullah University of Science and Technology + * Copyright (c) 2017-2023, King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST **/ /** * - * @file codelet_dzcpy.c + * @file codelet_stride_vec.c * * StarPU codelet to Copy contents of descriptor to vector * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2020-03-11 + * @date 2021-01-11 * **/ #include "../include/starpu_exageostat.h" -static void CORE_stride_vecstarpu(void *buffers[], void *cl_arg){ - int m; - int tempmm; - double *A; - double *B; - double *C; - int m0; - int i=0; - int j=0; - - A = (double *)STARPU_MATRIX_GET_PTR(buffers[0]); - B = (double *)STARPU_MATRIX_GET_PTR(buffers[1]); - C = (double *)STARPU_MATRIX_GET_PTR(buffers[2]); - starpu_codelet_unpack_args(cl_arg, &tempmm, &m0, &m); - if(m%2 == 0) - j=0; - else - j=tempmm/2; - for(i=0;istatus != MORSE_SUCCESS) - return -2; - RUNTIME_options_init(&options, morse, sequence, request); +int EXAGEOSTAT_stride_vec_Tile_Async(CHAM_desc_t *descA, CHAM_desc_t *descB, CHAM_desc_t *descC, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request) { + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + chamctxt = chameleon_context_self(); + if (sequence->status != CHAMELEON_SUCCESS) + return -2; + RUNTIME_options_init(&options, chamctxt, sequence, request); - int m, m0; - int tempmm; - MORSE_desc_t A = *descA; - MORSE_desc_t B = *descA; - MORSE_desc_t C = *descA; - struct starpu_codelet *cl=&cl_stride_vec; - for (m = 0; m < A.mt; m++) { - tempmm = m == A.mt-1 ? A.m - m * A.mb : A.mb; - m0 = m * A.mb; - starpu_insert_task(starpu_mpi_codelet(cl), - STARPU_VALUE, &tempmm, sizeof(int), - STARPU_VALUE, &m0, sizeof(int), - STARPU_VALUE, &m, sizeof(int), - STARPU_R, EXAGEOSTAT_RTBLKADDR(descA, MorseRealDouble, m, 0), - STARPU_W, EXAGEOSTAT_RTBLKADDR(descB, MorseRealDouble, (int)floor(m/2.0), 0), - STARPU_W, EXAGEOSTAT_RTBLKADDR(descC, MorseRealDouble, (int)floor(m/2.0), 0), + int m, m0; + int tempmm; + CHAM_desc_t A = *descA; + CHAM_desc_t B = *descB; + CHAM_desc_t C = *descC; + struct starpu_codelet *cl = &cl_stride_vec; + for (m = 0; m < A.mt; m++) { + tempmm = m == A.mt - 1 ? A.m - m * A.mb : A.mb; + m0 = m * A.mb; + starpu_insert_task(starpu_mpi_codelet(cl), + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &m0, sizeof(int), + STARPU_VALUE, &m, sizeof(int), + STARPU_R, EXAGEOSTAT_RTBLKADDR(descA, ChamRealDouble, m, 0), + STARPU_W, EXAGEOSTAT_RTBLKADDR(descB, ChamRealDouble, (int) floor(m / 2.0), 0), + STARPU_W, EXAGEOSTAT_RTBLKADDR(descC, ChamRealDouble, (int) floor(m / 2.0), 0), #if defined(CHAMELEON_CODELETS_HAVE_NAME) - STARPU_NAME, "stride_vec", + STARPU_NAME, "stride_vec", #endif - 0); + 0); + } - } - - RUNTIME_options_ws_free(&options); - //MORSE_TASK_dataflush_all(); - return MORSE_SUCCESS; -} + RUNTIME_options_ws_free(&options); + return CHAMELEON_SUCCESS; +} \ No newline at end of file diff --git a/exageostat_exact/runtime/starpu/codelets/codelet_tristride_vec.c b/exageostat_exact/runtime/starpu/codelets/codelet_tristride_vec.c new file mode 100644 index 0000000..f7f6ae0 --- /dev/null +++ b/exageostat_exact/runtime/starpu/codelets/codelet_tristride_vec.c @@ -0,0 +1,126 @@ +/* + * Copyright (c) 2017-2023, King Abdullah University of Science and Technology + * All rights reserved. + * + * ExaGeoStat is a software package provided by KAUST + **/ +/** + * + * @file codelet_tristride_vec.c + * + * StarPU codelet to Copy contents of descriptor to vector + * + * @version 1.2.0 + * + * @author Sameh Abdulah + * @date 2021-01-11 + * + **/ +#include "../include/starpu_exageostat.h" + +static void CORE_tristride_vecstarpu(void *buffers[], void *cl_arg) { + int m; + int tempmm; + double* A; + double* B; + double* C; + double* D; + int m0; + int i = 0; + int j = 0; + + A = (double* ) STARPU_MATRIX_GET_PTR(buffers[0]); + B = (double* ) STARPU_MATRIX_GET_PTR(buffers[1]); + C = (double* ) STARPU_MATRIX_GET_PTR(buffers[2]); + D = (double* ) STARPU_MATRIX_GET_PTR(buffers[3]); + + starpu_codelet_unpack_args(cl_arg, &tempmm, &m0, &m); + + //accept only tempmm divided by three (should be optimized) + j = 0; + for (i = 0; i < tempmm - 1; i += 3) { + B[j] = A[i]; + C[j] = A[i + 1]; + D[j] = A[i + 2]; + j++; + } +} + +static struct starpu_codelet cl_tristride_vec = + { + .where = STARPU_CPU, + .cpu_funcs = {CORE_tristride_vecstarpu}, + .nbuffers = 4, + .modes = STARPU_R, STARPU_W, STARPU_W, STARPU_W, + .name = "tristride_vec" + }; + +/***************************************************************************//** + * + * @ingroup CHAMELEON_Complex32_t_Tile (single precision). + * + * EXAGEOSTAT_MLE_szcpy_Tile_Async - copy Chameleon descriptor to vector float*. + * Operates on matrices stored by tiles. + * All matrices are passed through descriptors. + * All dimensions are taken from the descriptors. + * + ******************************************************************************* + * + * @param[out] descA + * Chameleon descriptor + * + * @param[in] r + * double* + * + * @param[in] sequence + * Identifies the sequence of function calls that this call belongs to + * (for completion checks and exception handling purposes). + * + * @param[in] request + * Identifies this function call (for exception handling purposes). + * + ******************************************************************************* + * + * @return + * \retval CHAMELEON_SUCCESS successful exit + * + ******************************************************************************* + * + * + ******************************************************************************/ +int EXAGEOSTAT_tristride_vec_Tile_Async(CHAM_desc_t *descA, CHAM_desc_t *descB, CHAM_desc_t *descC, CHAM_desc_t *descD, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request) { + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + chamctxt = chameleon_context_self(); + if (sequence->status != CHAMELEON_SUCCESS) + return -2; + RUNTIME_options_init(&options, chamctxt, sequence, request); + + int m, m0; + int tempmm; + CHAM_desc_t A = *descA; + CHAM_desc_t B = *descB; + CHAM_desc_t C = *descC; + CHAM_desc_t D = *descD; + struct starpu_codelet *cl = &cl_tristride_vec; + for (m = 0; m < A.mt; m++) { + tempmm = m == A.mt - 1 ? A.m - m * A.mb : A.mb; + m0 = m * A.mb; + starpu_insert_task(starpu_mpi_codelet(cl), + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &m0, sizeof(int), + STARPU_VALUE, &m, sizeof(int), + STARPU_R, EXAGEOSTAT_RTBLKADDR(descA, ChamRealDouble, m, 0), + STARPU_W, EXAGEOSTAT_RTBLKADDR(descB, ChamRealDouble, (int) floor(m / 3.0), 0), + STARPU_W, EXAGEOSTAT_RTBLKADDR(descC, ChamRealDouble, (int) floor(m / 3.0), 0), + STARPU_W, EXAGEOSTAT_RTBLKADDR(descD, ChamRealDouble, (int) floor(m / 3.0), 0), +#if defined(CHAMELEON_CODELETS_HAVE_NAME) + STARPU_NAME, "tristride_vec", +#endif + 0); + } + + RUNTIME_options_ws_free(&options); + return CHAMELEON_SUCCESS; +} \ No newline at end of file diff --git a/exageostat_exact/runtime/starpu/codelets/codelet_zcmg.c b/exageostat_exact/runtime/starpu/codelets/codelet_zcmg.c index d6d8c91..878d35b 100644 --- a/exageostat_exact/runtime/starpu/codelets/codelet_zcmg.c +++ b/exageostat_exact/runtime/starpu/codelets/codelet_zcmg.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,199 +11,198 @@ * * StarPU codelet to Generate covariance matrix of a set of locations in 2D using Matern kernel. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2020-06-06 + * @date 2022-11-09 * **/ #include "../include/starpu_exageostat.h" -static void cl_dcmg_cpu_func(void *buffers[],void *cl_arg){ +static void cl_dcmg_cpu_func(void *buffers[], void *cl_arg) { int m, n, m0, n0; location *l1; location *l2; location *lm; - double sigma1; - double sigma2; - double beta; - double nu1; - double nu2; - double nu12; - double a; + double sigma1; + double sigma2; + double beta; + double nu1; + double nu2; + double nu12; + double a; double rho; - double *theta; - double *A; + double* theta; + double* A; int distance_metric; int kernel; - //int size; - A = (double *)STARPU_MATRIX_GET_PTR(buffers[0]); + A = (double* ) STARPU_MATRIX_GET_PTR(buffers[0]); starpu_codelet_unpack_args(cl_arg, &m, &n, &m0, &n0, &l1, &l2, &lm, &theta, &distance_metric, &kernel);//, &size); - if(kernel == 0) + if (kernel == 0) core_dcmg(A, m, n, m0, n0, l1, l2, theta, distance_metric); - else if(kernel == 1) + else if (kernel == 1) core_dcmg_nono_stat(A, m, n, m0, n0, l1, l2, lm, theta, distance_metric); - else if(kernel == 2) + else if (kernel == 2) core_dcmg_bivariate_flexible(A, m, n, m0, n0, l1, l2, theta, distance_metric); else if (kernel == 3) //parsimonious core_dcmg_bivariate_parsimonious(A, m, n, m0, n0, l1, l2, theta, distance_metric); - else if (kernel == 4) + else if (kernel == 4) core_dcmg_nuggets(A, m, n, m0, n0, l1, l2, theta, distance_metric); else if (kernel == 5) core_dcmg_spacetime_matern(A, m, n, m0, n0, l1, l2, theta, distance_metric); - // else if (kernel == 4) //parsimonious2 - // core_dcmg_bivariate_parsimonious2(A, m, n, m0, n0, l1, l2, theta, distance_metric);//, size); + else if (kernel == 6) + core_dcmg_matern_dsigma_square(A, m, n, m0, n0, l1, l2, theta, distance_metric); + else if (kernel == 7) + core_dcmg_matern_dnu(A, m, n, m0, n0, l1, l2, theta, distance_metric); + else if (kernel == 8) + core_dcmg_matern_dbeta(A, m, n, m0, n0, l1, l2, theta, distance_metric); + else if (kernel == 9) + core_dcmg_matern_ddsigma_square(A, m, n); + else if (kernel == 10) + core_dcmg_matern_ddsigma_square_beta(A, m, n, m0, n0, l1, l2, theta, distance_metric); + else if (kernel == 11) + core_dcmg_matern_ddsigma_square_nu(A, m, n, m0, n0, l1, l2, theta, distance_metric); + else if (kernel == 12) + core_dcmg_matern_ddbeta_beta(A, m, n, m0, n0, l1, l2, theta, distance_metric); + else if (kernel == 13) + core_dcmg_matern_ddbeta_nu(A, m, n, m0, n0, l1, l2, theta, distance_metric); + else if (kernel == 14) + core_dcmg_matern_ddnu_nu(A, m, n, m0, n0, l1, l2, theta, distance_metric); + else if (kernel == 15) + core_dcmg_spacetime_bivariate_parsimonious(A, m, n, m0, n0, l1, l2, theta, distance_metric); + else if (kernel == 16) + core_ng_dcmg(A, m, n, m0, n0, l1, l2, theta, distance_metric); + else if (kernel == 17) + core_ng_exp_dcmg(A, m, n, m0, n0, l1, l2, theta, distance_metric); + else if (kernel == 18) + core_dcmg_spacetime_bivariate_parsimonious(A, m, n, m0, n0, l1, l2, theta, distance_metric); + else if (kernel == 19) + core_dcmg_trivariate_parsimonious(A, m, n, m0, n0, l1, l2, theta, distance_metric); + else if (kernel == 20) + core_dcmg_non_stat(A, m, n, m0, n0, l1, l2, theta, distance_metric); } #if defined(EXAGEOSTAT_USE_CUDA) static void cl_dcmg_cuda_func(void *buffers[], void *cl_arg) { - int m, n, m0, n0; + // Avoid generating matrix on GPU + /*int m, n, m0, n0; location *l1; location *l2; - double *theta; - double *A; + double* theta; + double* A; int distance_metric; - theta = (double *) malloc(3* sizeof(double)); - A = (double *)STARPU_MATRIX_GET_PTR(buffers[0]); + theta = (double* ) malloc(3* sizeof(double)); + A = (double* )STARPU_MATRIX_GET_PTR(buffers[0]); starpu_codelet_unpack_args(cl_arg, &m, &n, &m0, &n0, &l1, &l2, &theta[0], &theta[1], &theta[2], &distance_metric); cudaStream_t stream = starpu_cuda_get_local_stream(); cuda_dcmg(A, m, n, m0, n0, l1, l2, theta, distance_metric); cudaStreamSynchronize( stream ); +*/ } #endif static struct starpu_codelet cl_dcmg = -{ - .where = STARPU_CPU | STARPU_CUDA, - .cpu_func = cl_dcmg_cpu_func, + { + .where = STARPU_CPU /*| STARPU_CUDA*/, + .cpu_func = cl_dcmg_cpu_func, #if defined(EXAGEOSTAT_USE_CUDA) - // .cuda_func = {cl_dcmg_cuda_func}, + // .cuda_func = {cl_dcmg_cuda_func}, #endif - .nbuffers = 1, - .modes = {STARPU_W}, - .name = "dcmg" -}; + .nbuffers = 1, + .modes = {STARPU_W}, + .name = "dcmg" + }; //****************************************************************************** -static void cl_scmg_cpu_func(void *buffers[],void *cl_arg){ +static void cl_scmg_cpu_func(void *buffers[], void *cl_arg) { int m, n, m0, n0; location *l1; location *l2; location *lm; - double *theta; + double* theta; float *A; int distance_metric; int kernel; - A = (float *)STARPU_MATRIX_GET_PTR(buffers[0]); + A = (float *) STARPU_MATRIX_GET_PTR(buffers[0]); starpu_codelet_unpack_args(cl_arg, &m, &n, &m0, &n0, &l1, &l2, &lm, &theta, &distance_metric, &kernel); - if(kernel == 0) + if (kernel == 0) core_scmg(A, m, n, m0, n0, l1, l2, theta, distance_metric); - // else if(kernel == 1) - // core_scmg_nono_stat(A, m, n, m0, n0, l1, l2, lm, theta, distance_metric); - // else if(kernel == 2) - // core_scmg_bivariate_flexible(A, m, n, m0, n0, l1, l2, theta, distance_metric); - // else if (kernel == 3) - // core_scmg_bivariate_parsimonious(A, m, n, m0, n0, l1, l2, theta, distance_metric); } -/* + #if defined(EXAGEOSTAT_USE_CUDA) static void cl_scmg_cuda_func(void *buffers[], void *cl_arg) { int m, n, m0, n0; location *l1; location *l2; -double *theta; -double *A; +double* theta; +double* A; int distance_metric; -theta = (double *) malloc(3* sizeof(double)); -A = (double *)STARPU_MATRIX_GET_PTR(buffers[0]); +theta = (double* ) malloc(3* sizeof(double)); +A = (double* )STARPU_MATRIX_GET_PTR(buffers[0]); starpu_codelet_unpack_args(cl_arg, &m, &n, &m0, &n0, &l1, &l2, &theta[0], &theta[1], &theta[2], &distance_metric); cudaStream_t stream = starpu_cuda_get_local_stream(); cuda_scmg(A, m, n, m0, n0, l1, l2, theta, distance_metric); cudaStreamSynchronize( stream ); } -#endif -*/ +#endif + static struct starpu_codelet cl_scmg = -{ - .where = STARPU_CPU | STARPU_CUDA, - .cpu_func = cl_scmg_cpu_func, + { + .where = STARPU_CPU | STARPU_CUDA, + .cpu_func = cl_scmg_cpu_func, #if defined(EXAGEOSTAT_USE_CUDA) - // .cuda_func = {cl_scmg_cuda_func}, + // .cuda_func = {cl_scmg_cuda_func}, #endif - .nbuffers = 1, - .modes = STARPU_W, - .name = "scmg" -}; + .nbuffers = 1, + .modes = STARPU_W, + .name = "scmg" + }; //****************************************************************************** -static void cl_sdcmg_cpu_func(void *buffers[],void *cl_arg){ +static void cl_sdcmg_cpu_func(void *buffers[], void *cl_arg) { int m, n, m0, n0; location *l1; location *l2; location *lm; - double *theta; + double* theta; float *A; int distance_metric; int kernel; - A = (float *)STARPU_MATRIX_GET_PTR(buffers[0]); + A = (float *) STARPU_MATRIX_GET_PTR(buffers[0]); starpu_codelet_unpack_args(cl_arg, &m, &n, &m0, &n0, &l1, &l2, &lm, &theta, &distance_metric, &kernel); - if(kernel == 0) + if (kernel == 0) core_sdcmg(A, m, n, m0, n0, l1, l2, theta, distance_metric); - // else if(kernel == 1) - // core_sdcmg_nono_stat(A, m, n, m0, n0, l1, l2, lm, theta, distance_metric); - // else if(kernel == 2) - // core_sdcmg_bivariate_flexible(A, m, n, m0, n0, l1, l2, theta, distance_metric); - // else if (kernel == 3) - // core_sdcmg_bivariate_parsimonious(A, m, n, m0, n0, l1, l2, theta, distance_metric); -} -/* -#if defined(EXAGEOSTAT_USE_CUDA) -static void cl_sdcmg_cuda_func(void *buffers[], void *cl_arg) -{ -int m, n, m0, n0; -location *l1; -location *l2; -double *theta; -double *A; -int distance_metric; -theta = (double *) malloc(3* sizeof(double)); -A = (double *)STARPU_MATRIX_GET_PTR(buffers[0]); -starpu_codelet_unpack_args(cl_arg, &m, &n, &m0, &n0, &l1, &l2, &theta[0], &theta[1], &theta[2], &distance_metric); -cudaStream_t stream = starpu_cuda_get_local_stream(); -cuda_sdcmg(A, m, n, m0, n0, l1, l2, theta, distance_metric); -cudaStreamSynchronize( stream ); } -#endif -*/ + static struct starpu_codelet cl_sdcmg = -{ - .where = STARPU_CPU | STARPU_CUDA, - .cpu_func = cl_sdcmg_cpu_func, + { + .where = STARPU_CPU | STARPU_CUDA, + .cpu_func = cl_sdcmg_cpu_func, #if defined(EXAGEOSTAT_USE_CUDA) - // .cuda_func = {cl_sdcmg_cuda_func}, + // .cuda_func = {cl_sdcmg_cuda_func}, #endif - .nbuffers = 1, - .modes = {STARPU_W}, - .name = "sdcmg" -}; + .nbuffers = 1, + .modes = {STARPU_W}, + .name = "sdcmg" + }; /******************************************************************************* * - * @ingroup MORSE_Complex64_t_Tile + * @ingroup CHAMELEON_Complex64_t_Tile * - * MORSE_MLE_dcmg_Tile_Async - Codelet to generate covariance matrix in buffersiptor descA in dense format between two sets of locations (l1, l2) (Matern Kernel). + * EXAGEOSTAT_MLE_dcmg_Tile_Async - Codelet to generate covariance matrix in buffersiptor descA in dense format between two sets of locations (l1, l2) (Matern Kernel). * Operates on matrices stored by tiles. * All matrices are passed through buffersiptors. * All dimensions are taken from the buffersiptors. @@ -214,7 +213,7 @@ static struct starpu_codelet cl_sdcmg = * Upper or lower fill of the matrix. * * @param[out] descA - * descA: Morse buffersiptor that handles the generated covariance matrix. + * descA: Chameleon buffersiptor that handles the generated covariance matrix. * * @param[in] sequence * Identifies the sequence of function calls that this call belongs to @@ -238,96 +237,120 @@ static struct starpu_codelet cl_sdcmg = ******************************************************************************* * * @return - * \retval MORSE_SUCCESS successful exit + * \retval CHAMELEON_SUCCESS successful exit * ******************************************************************************* * * ******************************************************************************/ -//**************************************************** -int MORSE_MLE_dcmg_Tile_Async(MORSE_enum uplo, MORSE_desc_t *descA, location *l1, - location *l2, location *lm, double *theta, - char *dm, char *kernel_fun, - MORSE_sequence_t *sequence, MORSE_request_t *request) { - - MORSE_context_t *morse; - MORSE_option_t options; - morse = morse_context_self(); +int EXAGEOSTAT_MLE_dcmg_Tile_Async(CHAM_enum uplo, CHAM_desc_t *descA, location *l1, + location *l2, location *lm, double* theta, + char* dm, char* kernel_fun, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request) { + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + chamctxt = chameleon_context_self(); - if (sequence->status != MORSE_SUCCESS) + if (sequence->status != CHAMELEON_SUCCESS) return -2; - RUNTIME_options_init(&options, morse, sequence, request); - + RUNTIME_options_init(&options, chamctxt, sequence, request); int m, n, m0, n0; - int distance_metric = strcmp(dm, "gc") == 0? 1 : 0; + int distance_metric = strcmp(dm, "gc") == 0 ? 1 : 0; int kernel; - - if(strcmp(kernel_fun, "univariate_matern_stationary") == 0) + if (strcmp(kernel_fun, "univariate_matern_stationary") == 0) kernel = 0; - else if(strcmp(kernel_fun, "univariate_matern_non_stationary") == 0) + else if (strcmp(kernel_fun, "univariate_matern_non_stationary") == 0) kernel = 1; - else if(strcmp(kernel_fun, "bivariate_matern_flexible") == 0) + else if (strcmp(kernel_fun, "bivariate_matern_flexible") == 0) kernel = 2; - else if(strcmp(kernel_fun, "bivariate_matern_parsimonious") == 0 || strcmp(kernel_fun, "bivariate_matern_parsimonious_profile") == 0) + else if (strcmp(kernel_fun, "bivariate_matern_parsimonious") == 0 + || strcmp(kernel_fun, "bivariate_matern_parsimonious_profile") == 0) kernel = 3; - else if(strcmp(kernel_fun, "univariate_matern_nuggets_stationary") == 0) + else if (strcmp(kernel_fun, "univariate_matern_nuggets_stationary") == 0) kernel = 4; - else if(strcmp(kernel_fun, "univariate_spacetime_matern_stationary") == 0) + else if (strcmp(kernel_fun, "univariate_spacetime_matern_stationary") == 0) kernel = 5; - else - { - fprintf(stderr,"Choosen kernel is not exist: %s!\n", kernel_fun); + else if (strcmp(kernel_fun, "univariate_matern_dsigma_square") == 0) + kernel = 6; + else if (strcmp(kernel_fun, "univariate_matern_dnu") == 0) + kernel = 7; + else if (strcmp(kernel_fun, "univariate_matern_dbeta") == 0) + kernel = 8; + else if (strcmp(kernel_fun, "univariate_matern_ddsigma_square") == 0) + kernel = 9; + else if (strcmp(kernel_fun, "univariate_matern_ddsigma_square_beta") == 0) + kernel = 10; + else if (strcmp(kernel_fun, "univariate_matern_ddsigma_square_nu") == 0) + kernel = 11; + else if (strcmp(kernel_fun, "univariate_matern_ddbeta_beta") == 0) + kernel = 12; + else if (strcmp(kernel_fun, "univariate_matern_ddbeta_nu") == 0) + kernel = 13; + else if (strcmp(kernel_fun, "univariate_matern_ddnu_nu") == 0) + kernel = 14; + else if (strcmp(kernel_fun, "bivariate_spacetime_matern_stationary") == 0) + kernel = 15; + else if (strcmp(kernel_fun, "univariate_matern_non_gaussian") == 0) + kernel = 16; + else if (strcmp(kernel_fun, "univariate_exp_non_gaussian") == 0) + kernel = 17; + else if (strcmp(kernel_fun, "bivariate_spacetime_matern_stationary") == 0) + kernel = 18; + else if (strcmp(kernel_fun, "trivariate_matern_parsimonious") == 0 || + strcmp(kernel_fun, "trivariate_matern_parsimonious_profile") == 0) + kernel = 19; + else if (strcmp(kernel_fun, "univariate_matern_non_stat") == 0) + kernel = 20; + else { + fprintf(stderr, "Choosen kernel is not exist: %s!\n", kernel_fun); fprintf(stderr, "Called function is: %s\n", __func__); exit(0); } int tempmm, tempnn; - MORSE_desc_t A = *descA; - struct starpu_codelet *cl=&cl_dcmg; + CHAM_desc_t A = *descA; + struct starpu_codelet *cl = &cl_dcmg; int size = A.n; for (n = 0; n < A.nt; n++) { - tempnn = n == A.nt -1 ? A.n - n * A.nb : A.nb; - if(uplo == MorseUpperLower) + tempnn = n == A.nt - 1 ? A.n - n * A.nb : A.nb; + if (uplo == ChamUpperLower) m = 0; else - m = A.m == A.n? n : 0; - for(; m < A.mt; m++) - { + m = A.m == A.n ? n : 0; + for (; m < A.mt; m++) { - tempmm = m == A.mt -1 ? A.m- m* A.mb : A.mb; - m0= m * A.mb; - n0= n * A.nb; + tempmm = m == A.mt - 1 ? A.m - m * A.mb : A.mb; + m0 = m * A.mb; + n0 = n * A.nb; starpu_insert_task(starpu_mpi_codelet(cl), - STARPU_VALUE, &tempmm, sizeof(int), - STARPU_VALUE, &tempnn, sizeof(int), - STARPU_VALUE, &m0, sizeof(int), - STARPU_VALUE, &n0, sizeof(int), - STARPU_W , EXAGEOSTAT_RTBLKADDR(descA, MorseRealDouble, m, n), - STARPU_VALUE, &l1, sizeof(location*), - STARPU_VALUE, &l2, sizeof(location*), - STARPU_VALUE, &lm, sizeof(location*), - STARPU_VALUE, &theta, sizeof(double*), - STARPU_VALUE, &distance_metric, sizeof(int), - STARPU_VALUE, &kernel, sizeof(int), - //STARPU_VALUE, &size, sizeof(int), - //STARPU_VALUE, &num_locs, sizeof(int), - //STARPU_VALUE, &num_params, sizeof(int), - 0); + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &tempnn, sizeof(int), + STARPU_VALUE, &m0, sizeof(int), + STARPU_VALUE, &n0, sizeof(int), + STARPU_W, EXAGEOSTAT_RTBLKADDR(descA, ChamRealDouble, m, n), + STARPU_VALUE, &l1, sizeof(location * ), + STARPU_VALUE, &l2, sizeof(location * ), + STARPU_VALUE, &lm, sizeof(location * ), + STARPU_VALUE, &theta, sizeof(double* ), + STARPU_VALUE, &distance_metric, sizeof(int), + STARPU_VALUE, &kernel, sizeof(int), + 0); } } RUNTIME_options_ws_free(&options); - RUNTIME_options_finalize(&options, morse); - return MORSE_SUCCESS; + RUNTIME_options_finalize(&options, chamctxt); + return CHAMELEON_SUCCESS; } + /******************************************************************************* * - * @ingroup MORSE_Complex32_t_Tile + * @ingroup CHAMELEON_Complex32_t_Tile * - * MORSE_MLE_scmg_Tile_Async - Calculate covariance matrix descA. + * EXAGEOSTAT_MLE_scmg_Tile_Async - Calculate covariance matrix descA. * Operates on matrices stored by tiles. * All matrices are passed through buffersiptors. * All dimensions are taken from the buffersiptors. @@ -335,7 +358,7 @@ int MORSE_MLE_dcmg_Tile_Async(MORSE_enum uplo, MORSE_desc_t *descA, location *l1 ******************************************************************************* * * @param[out] descA - * descA: Morse buffersiptor that handles the generated covariance matrix + * descA: Chameleon buffersiptor that handles the generated covariance matrix * * @param[in] l1 * location struct of the first input @@ -359,7 +382,7 @@ int MORSE_MLE_dcmg_Tile_Async(MORSE_enum uplo, MORSE_desc_t *descA, location *l1 ******************************************************************************* * * @return - * \retval MORSE_SUCCESS successful exit + * \retval CHAMELEON_SUCCESS successful exit * ******************************************************************************* * @@ -367,166 +390,216 @@ int MORSE_MLE_dcmg_Tile_Async(MORSE_enum uplo, MORSE_desc_t *descA, location *l1 ******************************************************************************/ -int MORSE_MLE_scmg_Tile_Async(MORSE_enum uplo, MORSE_desc_t *descA, location *l1, - location *l2, location *lm, double *theta, - char *dm, char *kernel_fun, - MORSE_sequence_t *sequence, MORSE_request_t *request) { +int EXAGEOSTAT_MLE_scmg_Tile_Async(CHAM_enum uplo, CHAM_desc_t *descA, location *l1, + location *l2, location *lm, double* theta, + char* dm, char* kernel_fun, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request) { - MORSE_context_t *morse; - MORSE_option_t options; - morse = morse_context_self(); + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + chamctxt = chameleon_context_self(); - - if (sequence->status != MORSE_SUCCESS) + if (sequence->status != CHAMELEON_SUCCESS) return -2; - RUNTIME_options_init(&options, morse, sequence, request); - + RUNTIME_options_init(&options, chamctxt, sequence, request); int m, n, m0, n0; - int distance_metric = strcmp(dm, "gc") == 0? 1 : 0; + int distance_metric = strcmp(dm, "gc") == 0 ? 1 : 0; int kernel; - - if(strcmp(kernel_fun, "univariate_matern_stationary") == 0) + if (strcmp(kernel_fun, "univariate_matern_stationary") == 0) kernel = 0; - else if(strcmp(kernel_fun, "univariate_matern_non_stationary") == 0) + else if (strcmp(kernel_fun, "univariate_matern_non_stationary") == 0) kernel = 1; - else if(strcmp(kernel_fun, "bivariate_matern_flexible") == 0) + else if (strcmp(kernel_fun, "bivariate_matern_flexible") == 0) kernel = 2; - else if(strcmp(kernel_fun, "bivariate_matern_parsimonious") == 0 || strcmp(kernel_fun, "bivariate_matern_parsimonious_profile") == 0) + else if (strcmp(kernel_fun, "bivariate_matern_parsimonious") == 0 + || strcmp(kernel_fun, "bivariate_matern_parsimonious_profile") == 0) kernel = 3; - else if(strcmp(kernel_fun, "univariate_matern_nuggets_stationary") == 0) + else if (strcmp(kernel_fun, "univariate_matern_nuggets_stationary") == 0) kernel = 4; - else if(strcmp(kernel_fun, "univariate_spacetime_matern_stationary") == 0) + else if (strcmp(kernel_fun, "univariate_spacetime_matern_stationary") == 0) kernel = 5; - else - { - fprintf(stderr,"Choosen kernel is not exist(5)!\n"); - fprintf(stderr, "Called function is: %s\n",__func__); + else if (strcmp(kernel_fun, "univariate_matern_dsigma_square") == 0) + kernel = 6; + else if (strcmp(kernel_fun, "univariate_matern_dnu") == 0) + kernel = 7; + else if (strcmp(kernel_fun, "univariate_matern_dbeta") == 0) + kernel = 8; + else if (strcmp(kernel_fun, "univariate_matern_ddsigma_square") == 0) + kernel = 9; + else if (strcmp(kernel_fun, "univariate_matern_ddsigma_square_beta") == 0) + kernel = 10; + else if (strcmp(kernel_fun, "univariate_matern_ddsigma_square_nu") == 0) + kernel = 11; + else if (strcmp(kernel_fun, "univariate_matern_ddbeta_beta") == 0) + kernel = 12; + else if (strcmp(kernel_fun, "univariate_matern_ddbeta_nu") == 0) + kernel = 13; + else if (strcmp(kernel_fun, "univariate_matern_ddnu_nu") == 0) + kernel = 14; + else if (strcmp(kernel_fun, "bivariate_spacetime_matern_stationary") == 0) + kernel = 15; + else if (strcmp(kernel_fun, "univariate_matern_non_gaussian") == 0) + kernel = 16; + else if (strcmp(kernel_fun, "univariate_exp_non_gaussian") == 0) + kernel = 17; + else if (strcmp(kernel_fun, "bivariate_spacetime_matern_stationary") == 0) + kernel = 18; + else if (strcmp(kernel_fun, "trivariate_matern_parsimonious") == 0 || + strcmp(kernel_fun, "trivariate_matern_parsimonious_profile") == 0) + kernel = 19; + else if (strcmp(kernel_fun, "univariate_matern_non_stat") == 0) + kernel = 20; + + else { + fprintf(stderr, "Choosen kernel is not exist(5)!\n"); + fprintf(stderr, "Called function is: %s\n", __func__); exit(0); } int tempmm, tempnn; - MORSE_desc_t A = *descA; - struct starpu_codelet *cl=&cl_scmg; + CHAM_desc_t A = *descA; + struct starpu_codelet *cl = &cl_scmg; for (n = 0; n < A.nt; n++) { - tempnn = n == A.nt -1 ? A.n - n * A.nb : A.nb; - if(uplo == MorseUpperLower) + tempnn = n == A.nt - 1 ? A.n - n * A.nb : A.nb; + if (uplo == ChamUpperLower) m = 0; else - m = A.m == A.n? n : 0; - for(; m < A.mt; m++) - { + m = A.m == A.n ? n : 0; + for (; m < A.mt; m++) { - tempmm = m == A.mt -1 ? A.m- m* A.mb : A.mb; - m0= m * A.mb; - n0= n * A.nb; + tempmm = m == A.mt - 1 ? A.m - m * A.mb : A.mb; + m0 = m * A.mb; + n0 = n * A.nb; starpu_insert_task(starpu_mpi_codelet(cl), - STARPU_VALUE, &tempmm, sizeof(int), - STARPU_VALUE, &tempnn, sizeof(int), - STARPU_VALUE, &m0, sizeof(int), - STARPU_VALUE, &n0, sizeof(int), - STARPU_W , EXAGEOSTAT_RTBLKADDR(descA, MorseRealFloat, m, n), - STARPU_VALUE, &l1, sizeof(location*), - STARPU_VALUE, &l2, sizeof(location*), - STARPU_VALUE, &lm, sizeof(location*), - STARPU_VALUE, &theta, sizeof(double*), - STARPU_VALUE, &distance_metric, sizeof(int), - STARPU_VALUE, &kernel, sizeof(int), + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &tempnn, sizeof(int), + STARPU_VALUE, &m0, sizeof(int), + STARPU_VALUE, &n0, sizeof(int), + STARPU_W, EXAGEOSTAT_RTBLKADDR(descA, ChamRealFloat, m, n), + STARPU_VALUE, &l1, sizeof(location * ), + STARPU_VALUE, &l2, sizeof(location * ), + STARPU_VALUE, &lm, sizeof(location * ), + STARPU_VALUE, &theta, sizeof(double* ), + STARPU_VALUE, &distance_metric, sizeof(int), + STARPU_VALUE, &kernel, sizeof(int), //STARPU_VALUE, &num_locs, sizeof(int), //STARPU_VALUE, &num_params, sizeof(int), - 0); + 0); } } RUNTIME_options_ws_free(&options); - RUNTIME_options_finalize(&options, morse); - return MORSE_SUCCESS; + RUNTIME_options_finalize(&options, chamctxt); + return CHAMELEON_SUCCESS; } /*******************************************************************************/ -int MORSE_MLE_sdcmg_Tile_Async(MORSE_enum uplo, MORSE_desc_t *descA, location *l1, - location *l2, location *lm, double *theta, - char *dm, char *kernel_fun, - MORSE_sequence_t *sequence, MORSE_request_t *request) { +int EXAGEOSTAT_MLE_sdcmg_Tile_Async(CHAM_enum uplo, CHAM_desc_t *descA, location *l1, + location *l2, location *lm, double* theta, + char* dm, char* kernel_fun, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request) { - MORSE_context_t *morse; - MORSE_option_t options; - morse = morse_context_self(); + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + chamctxt = chameleon_context_self(); - - if (sequence->status != MORSE_SUCCESS) + if (sequence->status != CHAMELEON_SUCCESS) return -2; - RUNTIME_options_init(&options, morse, sequence, request); - + RUNTIME_options_init(&options, chamctxt, sequence, request); int m, n, m0, n0; - int distance_metric = strcmp(dm,"gc") == 0? 1 : 0 ; + int distance_metric = strcmp(dm, "gc") == 0 ? 1 : 0; int kernel; - if(strcmp(kernel_fun, "univariate_matern_stationary") == 0) + if (strcmp(kernel_fun, "univariate_matern_stationary") == 0) kernel = 0; - else if(strcmp(kernel_fun, "univariate_matern_non_stationary") == 0) + else if (strcmp(kernel_fun, "univariate_matern_non_stationary") == 0) kernel = 1; - else if(strcmp(kernel_fun, "bivariate_matern_flexible") == 0) + else if (strcmp(kernel_fun, "bivariate_matern_flexible") == 0) kernel = 2; - else if(strcmp(kernel_fun, "bivariate_matern_parsimonious") == 0 || strcmp(kernel_fun, "bivariate_matern_parsimonious_profile") == 0 ) + else if (strcmp(kernel_fun, "bivariate_matern_parsimonious") == 0 + || strcmp(kernel_fun, "bivariate_matern_parsimonious_profile") == 0) kernel = 3; - else if(strcmp(kernel_fun, "univariate_matern_nuggets_stationary") == 0) + else if (strcmp(kernel_fun, "univariate_matern_nuggets_stationary") == 0) kernel = 4; - else if(strcmp(kernel_fun, "univariate_spacetime_matern_stationary") == 0) + else if (strcmp(kernel_fun, "univariate_spacetime_matern_stationary") == 0) kernel = 5; - else - { - fprintf(stderr,"Choosen kernel is not exist(3)!\n"); - fprintf(stderr, "Called function is: %s\n",__func__); + else if (strcmp(kernel_fun, "univariate_matern_dsigma_square") == 0) + kernel = 6; + else if (strcmp(kernel_fun, "univariate_matern_dnu") == 0) + kernel = 7; + else if (strcmp(kernel_fun, "univariate_matern_dbeta") == 0) + kernel = 8; + else if (strcmp(kernel_fun, "univariate_matern_ddsigma_square") == 0) + kernel = 9; + else if (strcmp(kernel_fun, "univariate_matern_ddsigma_square_beta") == 0) + kernel = 10; + else if (strcmp(kernel_fun, "univariate_matern_ddsigma_square_nu") == 0) + kernel = 11; + else if (strcmp(kernel_fun, "univariate_matern_ddbeta_beta") == 0) + kernel = 12; + else if (strcmp(kernel_fun, "univariate_matern_ddbeta_nu") == 0) + kernel = 13; + else if (strcmp(kernel_fun, "univariate_matern_ddnu_nu") == 0) + kernel = 14; + else if (strcmp(kernel_fun, "bivariate_spacetime_matern_stationary") == 0) + kernel = 15; + else if (strcmp(kernel_fun, "univariate_matern_non_gaussian") == 0) + kernel = 16; + else if (strcmp(kernel_fun, "univariate_exp_non_gaussian") == 0) + kernel = 17; + else if (strcmp(kernel_fun, "bivariate_spacetime_matern_stationary") == 0) + kernel = 18; + else if (strcmp(kernel_fun, "trivariate_matern_parsimonious") == 0 || + strcmp(kernel_fun, "trivariate_matern_parsimonious_profile") == 0) + kernel = 19; + else if (strcmp(kernel_fun, "univariate_matern_non_stat") == 0) + kernel = 20; + else { + fprintf(stderr, "Choosen kernel is not exist(3)!\n"); + fprintf(stderr, "Called function is: %s\n", __func__); exit(0); } int tempmm, tempnn; - MORSE_desc_t A = *descA; + CHAM_desc_t A = *descA; struct starpu_codelet *dcl = &cl_dcmg; struct starpu_codelet *sdcl = &cl_sdcmg; int k = 0; for (n = 0; n < A.nt; n++) { - tempnn = n == A.nt -1 ? A.n - n * A.nb : A.nb; - if(uplo == MorseUpperLower) + tempnn = n == A.nt - 1 ? A.n - n * A.nb : A.nb; + if (uplo == ChamUpperLower) m = 0; else - m = A.m == A.n? n : 0; - for(; m < A.mt; m++) - { + m = A.m == A.n ? n : 0; + for (; m < A.mt; m++) { - tempmm = m == A.mt -1 ? A.m- m* A.mb : A.mb; - m0= m * A.mb; - n0= n * A.nb; + tempmm = m == A.mt - 1 ? A.m - m * A.mb : A.mb; + m0 = m * A.mb; + n0 = n * A.nb; starpu_insert_task(starpu_mpi_codelet(dcl), - STARPU_VALUE, &tempmm, sizeof(int), - STARPU_VALUE, &tempnn, sizeof(int), - STARPU_VALUE, &m0, sizeof(int), - STARPU_VALUE, &n0, sizeof(int), - STARPU_W , EXAGEOSTAT_RTBLKADDR(descA, MorseRealDouble, m, n), - STARPU_VALUE, &l1, sizeof(location*), - STARPU_VALUE, &l2, sizeof(location*), - STARPU_VALUE, &lm, sizeof(location*), - STARPU_VALUE, &theta, sizeof(double*), - STARPU_VALUE, &distance_metric, sizeof(int), - STARPU_VALUE, &kernel, sizeof(int), - //STARPU_VALUE, &num_locs, sizeof(int), - //STARPU_VALUE, &num_params, sizeof(int), - 0); + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &tempnn, sizeof(int), + STARPU_VALUE, &m0, sizeof(int), + STARPU_VALUE, &n0, sizeof(int), + STARPU_W, EXAGEOSTAT_RTBLKADDR(descA, ChamRealDouble, m, n), + STARPU_VALUE, &l1, sizeof(location * ), + STARPU_VALUE, &l2, sizeof(location * ), + STARPU_VALUE, &lm, sizeof(location * ), + STARPU_VALUE, &theta, sizeof(double* ), + STARPU_VALUE, &distance_metric, sizeof(int), + STARPU_VALUE, &kernel, sizeof(int), + 0); } } - - //RUNTIME_data_flush( sequence, descA ); - //MORSE_TASK_flush_desc( &options, MorseUpperLower, descA); RUNTIME_options_ws_free(&options); - RUNTIME_options_finalize(&options, morse); - //MORSE_TASK_dataflush_all(); - return MORSE_SUCCESS; + RUNTIME_options_finalize(&options, chamctxt); + return CHAMELEON_SUCCESS; } diff --git a/exageostat_exact/runtime/starpu/codelets/codelet_zcorr.c b/exageostat_exact/runtime/starpu/codelets/codelet_zcorr.c new file mode 100644 index 0000000..0817073 --- /dev/null +++ b/exageostat_exact/runtime/starpu/codelets/codelet_zcorr.c @@ -0,0 +1,129 @@ +/** + * + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology + * All rights reserved. + * + * ExaGeoStat is a software package provided by KAUST + **/ +/** + * + * @file codelet_zcorr.c + * + * StarPU codelet to calculate the r correlation vector (non-Gaussian kernel) + * + * @version 1.2.0 + * + * @author Sameh Abdulah + * @date 2021-03-04 + * + **/ +#include "../include/starpu_exageostat.h" + +static void CORE_dcorr_starpu(void *buffers[], void *cl_arg) { + int i, m, m0; + location *lmiss; + location *lobs; + double* theta; + double* r; + double expr = 0.0, x1, y1, x2, y2; + double con = 0.0; + double sigma_square = 1;//localtheta[0];// * localtheta[0]; + + r = (double* ) STARPU_MATRIX_GET_PTR(buffers[0]); + starpu_codelet_unpack_args(cl_arg, &m, &m0, &lmiss, &lobs, &theta); + + con = pow(2, (theta[1] - 1)) * tgamma(theta[1]); + con = 1.0 / con; + con = sigma_square * con; + x1 = lmiss->x[0]; + y1 = lmiss->y[0]; + + for (i = 0; i < m; i++) { + x2 = lobs->x[m0 + i]; + y2 = lobs->y[m0 + i]; + expr = 4 * sqrt(2 * theta[1]) * (sqrt(pow((x2 - x1), 2) + pow((y2 - y1), 2))) / theta[0]; + + if (expr == 0) + r[i] = sigma_square /*+ 1e-4*/; + else { + r[i] = con * pow(expr, theta[1]) + * gsl_sf_bessel_Knu(theta[1], expr); // Matern Function + } + } +} + +static struct starpu_codelet cl_dcorr = + { + .where = STARPU_CPU, + .cpu_funcs = {CORE_dcorr_starpu}, + .nbuffers = 1, + .modes = {STARPU_W}, + .name = "dcorr" + }; + +/******************************************************************************* + * + * @ingroup CHAMELEON_Complex64_t_Tile + * + * CHAMELEON_MLE_dcorr_Async- codelet to compute dot product of A.A. + * Operates on matrices stored by tiles. + * All matrices are passed through descriptors. + * All dimensions are taken from the descriptors. + * + ******************************************************************************* + * + * @param[in] descA + * Chameleon descriptor + * + * @param[out] descproduct + * dot product descriptor. + * + * @param[in] sequence + * Identifies the sequence of function calls that this call belongs to + * (for completion checks and exception handling purposes). + * + * @param[in] request + * Identifies this function call (for exception handling purposes). + * + ******************************************************************************* + * + * @return + * \retval CHAMELEON_SUCCESS successful exit + * + ******************************************************************************* + * + * + ******************************************************************************/ +int EXAGEOSTAT_ng_corr_vec_gen_Tile_Async( + CHAM_desc_t *descr, location *l, location *lobs, + double* theta, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request) { + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + chamctxt = chameleon_context_self(); + if (sequence->status != CHAMELEON_SUCCESS) + return -2; + RUNTIME_options_init(&options, chamctxt, sequence, request); + + int m, m0; + int tempmm; + CHAM_desc_t r = *descr; + struct starpu_codelet *cl = &cl_dcorr; + + for (m = 0; m < r.mt; m++) { + tempmm = m == r.mt - 1 ? r.m - m * r.mb : r.mb; + m0 = m * r.mb; + starpu_insert_task(starpu_mpi_codelet(cl), + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &m0, sizeof(int), + STARPU_W, EXAGEOSTAT_RTBLKADDR(descr, ChamRealDouble, m, 0), + STARPU_VALUE, &l, sizeof(location *), + STARPU_VALUE, &lobs, sizeof(location *), + STARPU_VALUE, &theta, sizeof(double* ), + 0); + + } + + RUNTIME_options_ws_free(&options); + RUNTIME_options_finalize(&options, chamctxt); + return CHAMELEON_SUCCESS; +} \ No newline at end of file diff --git a/exageostat_exact/runtime/starpu/codelets/codelet_zdotp.c b/exageostat_exact/runtime/starpu/codelets/codelet_zdotp.c index ace4cf1..f72e62a 100644 --- a/exageostat_exact/runtime/starpu/codelets/codelet_zdotp.c +++ b/exageostat_exact/runtime/starpu/codelets/codelet_zdotp.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,49 +11,50 @@ * * StarPU codelet to Calculate the dot product of the Z vector. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2018-11-11 + * @date 2022-11-09 * **/ #include "../include/starpu_exageostat.h" -static void CORE_ddotp_starpu(void *buffers[], void *cl_arg){ + +static void CORE_ddotp_starpu(void *buffers[], void *cl_arg) { int m, m0; int transA, transB; - int indexC; - double *A; - double *B; - double *C; + int index; + double* A; + double* B; + double* C; + int increment; - A = (double *)STARPU_MATRIX_GET_PTR(buffers[0]); - B = (double *)STARPU_MATRIX_GET_PTR(buffers[1]); - C = (double *)STARPU_MATRIX_GET_PTR(buffers[2]); - starpu_codelet_unpack_args(cl_arg, &m, &m0, &transA, &transB, &indexC); - if(transA == MorseTrans) - LAPACKE_sge_trans(LAPACK_COL_MAJOR, m, 1, A, 1, A, 1); - if((transB == MorseTrans)) - LAPACKE_sge_trans(LAPACK_COL_MAJOR, m, 1, B, 1, B, 1); - double local_dot=cblas_ddot(m, A, 1, B, 1); - C[indexC] += local_dot; -} + A = (double* ) STARPU_MATRIX_GET_PTR(buffers[0]); + B = (double* ) STARPU_MATRIX_GET_PTR(buffers[1]); + C = (double* ) STARPU_MATRIX_GET_PTR(buffers[2]); + starpu_codelet_unpack_args(cl_arg, &m, &m0, &transA, &transB, &index, &increment); + int i = 0; + double local_dot = 0; + for (i = index; i < m; i += increment) { + local_dot += A[i] * B[i]; + } + C[0] += local_dot; +} static struct starpu_codelet cl_ddotp = -{ - .where = STARPU_CPU, - .cpu_funcs = {CORE_ddotp_starpu}, - .nbuffers = 3, - .modes = {STARPU_R, STARPU_R, STARPU_RW}, - .name = "ddotp" -}; - + { + .where = STARPU_CPU, + .cpu_funcs = {CORE_ddotp_starpu}, + .nbuffers = 3, + .modes = {STARPU_R, STARPU_R, STARPU_RW}, + .name = "ddotp" + }; /******************************************************************************* * - * @ingroup MORSE_Complex64_t_Tile + * @ingroup CHAMELEON_Complex64_t_Tile * - * MORSE_MLE_ddotp_Async- codelet to compute dot product of A.A. + * EXAGEOSTAT_MLE_ddotp_Async- codelet to compute dot product of A.A. * Operates on matrices stored by tiles. * All matrices are passed through descriptors. * All dimensions are taken from the descriptors. @@ -61,7 +62,7 @@ static struct starpu_codelet cl_ddotp = ******************************************************************************* * * @param[in] descA - * Morse descriptor + * Chameleon descriptor * * @param[out] descproduct * dot product descriptor. @@ -76,52 +77,48 @@ static struct starpu_codelet cl_ddotp = ******************************************************************************* * * @return - * \retval MORSE_SUCCESS successful exit + * \retval CHAMELEON_SUCCESS successful exit * ******************************************************************************* * * ******************************************************************************/ -int MORSE_MLE_ddotp_Async(MORSE_enum transA, MORSE_enum transB, - MORSE_desc_t *descA, MORSE_desc_t *descB, - MORSE_desc_t *descC, MORSE_enum indexC, - MORSE_sequence_t *sequence, MORSE_request_t *request) +int EXAGEOSTAT_MLE_ddotp_Async(CHAM_enum transA, CHAM_enum transB, + CHAM_desc_t *descA, CHAM_desc_t *descB, + CHAM_desc_t *descC, CHAM_enum index, CHAM_enum increment, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request) { -{ - - MORSE_context_t *morse; - MORSE_option_t options; - morse = morse_context_self(); - if (sequence->status != MORSE_SUCCESS) + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + chamctxt = chameleon_context_self(); + if (sequence->status != CHAMELEON_SUCCESS) return -2; - RUNTIME_options_init(&options, morse, sequence, request); + RUNTIME_options_init(&options, chamctxt, sequence, request); int m, m0; int tempmm; - MORSE_desc_t A = *descA; - MORSE_desc_t B = *descB; - MORSE_desc_t C = *descC; - struct starpu_codelet *cl=&cl_ddotp; + CHAM_desc_t A = *descA; + CHAM_desc_t B = *descB; + CHAM_desc_t C = *descC; + struct starpu_codelet *cl = &cl_ddotp; - printf("%d - %d -%d\n",descA->m,descB->m,descC->m); + printf("%d - %d -%d\n", descA->m, descB->m, descC->m); for (m = 0; m < A.mt; m++) { - tempmm = m == A.mt-1 ? A.m - m * A.mb : A.mb; + tempmm = m == A.mt - 1 ? A.m - m * A.mb : A.mb; m0 = m * A.mb; starpu_insert_task(starpu_mpi_codelet(cl), - STARPU_VALUE, &tempmm, sizeof(int), - STARPU_VALUE, &m0, sizeof(int), - STARPU_VALUE, &transA, sizeof(MORSE_enum), - STARPU_VALUE, &transB, sizeof(MORSE_enum), - STARPU_R, EXAGEOSTAT_RTBLKADDR(descA, MorseRealDouble, descA->m, descA->n), - STARPU_R, EXAGEOSTAT_RTBLKADDR(descB, MorseRealDouble, descB->m, descB->n), - STARPU_RW, EXAGEOSTAT_RTBLKADDR(descC, MorseRealDouble, descC->m, descC->n), - STARPU_VALUE, &indexC, sizeof(MORSE_enum), - 0); - + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &m0, sizeof(int), + STARPU_VALUE, &transA, sizeof(CHAM_enum), + STARPU_VALUE, &transB, sizeof(CHAM_enum), + STARPU_R, EXAGEOSTAT_RTBLKADDR(descA, ChamRealDouble, m, 0), + STARPU_R, EXAGEOSTAT_RTBLKADDR(descB, ChamRealDouble, m, 0), + STARPU_RW, EXAGEOSTAT_RTBLKADDR(descC, ChamRealDouble, 0, 0), + STARPU_VALUE, &index, sizeof(CHAM_enum), + STARPU_VALUE, &increment, sizeof(CHAM_enum), + 0); } - RUNTIME_options_ws_free(&options); - RUNTIME_options_finalize(&options, morse); - //MORSE_Sequence_Wait(sequence); - return MORSE_SUCCESS; -} + RUNTIME_options_finalize(&options, chamctxt); + return CHAMELEON_SUCCESS; +} \ No newline at end of file diff --git a/exageostat_exact/runtime/starpu/codelets/codelet_zgemv.c b/exageostat_exact/runtime/starpu/codelets/codelet_zgemv.c index bffee41..d86d2ec 100644 --- a/exageostat_exact/runtime/starpu/codelets/codelet_zgemv.c +++ b/exageostat_exact/runtime/starpu/codelets/codelet_zgemv.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020, King Abdullah University of Science and Technology + * Copyright (c) 2017-2023, King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,73 +11,67 @@ * * StarPU codelet to compute dense matrix-vector multiplication. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah * @date 2017-11-07 * **/ +#include #include "../include/starpu_exageostat.h" -static void CORE_dgemv_starpu(void *buffers[], void *cl_arg){ +static void CORE_dgemv_starpu(void *buffers[], void *cl_arg) { int m, n, ldam; int m0, n0; - double *A; - double *Z; - double *Zout; + double* A; + double* Z; + double* Zout; - A = (double *)STARPU_MATRIX_GET_PTR(buffers[0]); - Z = (double *)STARPU_MATRIX_GET_PTR(buffers[1]); - Zout = (double *)STARPU_MATRIX_GET_PTR(buffers[2]); + A = (double* ) STARPU_MATRIX_GET_PTR(buffers[0]); + Z = (double* ) STARPU_MATRIX_GET_PTR(buffers[1]); + Zout = (double* ) STARPU_MATRIX_GET_PTR(buffers[2]); starpu_codelet_unpack_args(cl_arg, &m, &n, &ldam, &m0, &n0); - - cblas_dgemv(CblasColMajor, CblasNoTrans, m, n, 1 , A, m, Z, 1, 0, Zout, 1); - + cblas_dgemv(CblasColMajor, CblasNoTrans, m, n, 1, A, m, Z, 1, 0, Zout, 1); } static struct starpu_codelet cl_dgemv = -{ - .where = STARPU_CPU, - .cpu_funcs = {CORE_dgemv_starpu}, - .nbuffers = 3, - .modes = {STARPU_R,STARPU_R,STARPU_RW}, - .name = "dgemv" -}; - + { + .where = STARPU_CPU, + .cpu_funcs = {CORE_dgemv_starpu}, + .nbuffers = 3, + .modes = {STARPU_R, STARPU_R, STARPU_RW}, + .name = "dgemv" + }; //******************************************************************************* -static void CORE_sgemv_starpu(void *buffers[], void *cl_arg){ +static void CORE_sgemv_starpu(void *buffers[], void *cl_arg) { int m, n, ldam; int m0, n0; float *A; float *Z; float *Zout; - A = (float *)STARPU_MATRIX_GET_PTR(buffers[0]); - Z = (float *)STARPU_MATRIX_GET_PTR(buffers[1]); - Zout = (float *)STARPU_MATRIX_GET_PTR(buffers[2]); + A = (float *) STARPU_MATRIX_GET_PTR(buffers[0]); + Z = (float *) STARPU_MATRIX_GET_PTR(buffers[1]); + Zout = (float *) STARPU_MATRIX_GET_PTR(buffers[2]); starpu_codelet_unpack_args(cl_arg, &m, &n, &ldam, &m0, &n0); - - cblas_sgemv(CblasColMajor, CblasNoTrans, m, n, 1 , A, m, Z, 1, 0, Zout, 1); - + cblas_sgemv(CblasColMajor, CblasNoTrans, m, n, 1, A, m, Z, 1, 0, Zout, 1); } static struct starpu_codelet cl_sgemv = -{ - .where = STARPU_CPU, - .cpu_funcs = {CORE_sgemv_starpu}, - .nbuffers = 3, - .modes = {STARPU_R,STARPU_R,STARPU_RW}, - .name = "sgemv" -}; - - + { + .where = STARPU_CPU, + .cpu_funcs = {CORE_sgemv_starpu}, + .nbuffers = 3, + .modes = {STARPU_R, STARPU_R, STARPU_RW}, + .name = "sgemv" + }; /******************************************************************************* * - * @ingroup MORSE_Complex64_t_Tile + * @ingroup CHAMELEON_Complex64_t_Tile * - * MORSE_MLE_dgemv_Tile_Async - Matrix Vector Multiplication. + * EXAGEOSTAT_MLE_dgemv_Tile_Async - Matrix Vector Multiplication. * Operates on matrices stored by tiles. * All matrices are passed through descriptors. * All dimensions are taken from the descriptors. @@ -85,13 +79,13 @@ static struct starpu_codelet cl_sgemv = ******************************************************************************* * * @param[in] descA - * Morse descriptor. + * Chameleon descriptor. * * @param[in] descZ - * Morse descriptor. + * Chameleon descriptor. * * @param[out] descZout - * Morse descriptor. + * Chameleon descriptor. * * @param[in] sequence * Identifies the sequence of function calls that this call belongs to @@ -103,68 +97,61 @@ static struct starpu_codelet cl_sgemv = ******************************************************************************* * * @return - * \retval MORSE_SUCCESS successful exit + * \retval CHAMELEON_SUCCESS successful exit * ******************************************************************************* * * ******************************************************************************/ -int MORSE_MLE_dgemv_Tile_Async(MORSE_desc_t *descA, MORSE_desc_t * descZ, MORSE_desc_t * descZout, MORSE_sequence_t *sequence, MORSE_request_t *request) { - - MORSE_context_t *morse; - MORSE_option_t options; - morse = morse_context_self(); +int EXAGEOSTAT_MLE_dgemv_Tile_Async(CHAM_desc_t *descA, CHAM_desc_t *descZ, CHAM_desc_t *descZout, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request) { - if (sequence->status != MORSE_SUCCESS) + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + chamctxt = chameleon_context_self(); + if (sequence->status != CHAMELEON_SUCCESS) return -2; - RUNTIME_options_init(&options, morse, sequence, request); + RUNTIME_options_init(&options, chamctxt, sequence, request); int m, n, ldam, m0, n0; int tempmm, tempnn; - MORSE_desc_t A = *descA; + CHAM_desc_t A = *descA; - struct starpu_codelet *cl=&cl_dgemv; + struct starpu_codelet *cl = &cl_dgemv; for (n = 0; n < A.nt; n++) { - tempnn = n == A.nt -1 ? A.n - n * A.nb : A.nb; - for(m = 0; m < A.mt; m++) - { - tempmm = m == A.mt - 1 ? A.m - m* A.mb : A.mb; - ldam= mBLKLDD(descA, m); - m0= m * A.mb; - n0= n * A.nb; + tempnn = n == A.nt - 1 ? A.n - n * A.nb : A.nb; + for (m = 0; m < A.mt; m++) { + tempmm = m == A.mt - 1 ? A.m - m * A.mb : A.mb; + ldam = mBLKLDD(descA, m); + m0 = m * A.mb; + n0 = n * A.nb; starpu_insert_task(starpu_mpi_codelet(cl), - STARPU_VALUE, &tempmm, sizeof(int), - STARPU_VALUE, &tempnn, sizeof(int), - STARPU_VALUE, &ldam, sizeof(int), - STARPU_VALUE, &m0, sizeof(int), - STARPU_VALUE, &n0, sizeof(int), - STARPU_R, EXAGEOSTAT_RTBLKADDR(descA, MorseRealDouble, m, n), - STARPU_R, EXAGEOSTAT_RTBLKADDR(descZ, MorseRealDouble, m, 0), - STARPU_RW, EXAGEOSTAT_RTBLKADDR(descZout, MorseRealDouble, m, 0), + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &tempnn, sizeof(int), + STARPU_VALUE, &ldam, sizeof(int), + STARPU_VALUE, &m0, sizeof(int), + STARPU_VALUE, &n0, sizeof(int), + STARPU_R, EXAGEOSTAT_RTBLKADDR(descA, ChamRealDouble, m, n), + STARPU_R, EXAGEOSTAT_RTBLKADDR(descZ, ChamRealDouble, m, 0), + STARPU_RW, EXAGEOSTAT_RTBLKADDR(descZout, ChamRealDouble, m, 0), #if defined(CHAMELEON_CODELETS_HAVE_NAME) - STARPU_NAME, "dgemv", + STARPU_NAME, "dgemv", #endif - 0); + 0); } - } - //MORSE_TASK_flush_desc( &options, MorseUpperLower, descA); - //MORSE_TASK_flush_desc( &options, MorseUpperLower, descZ); - //MORSE_TASK_flush_desc( &options, MorseUpperLower, descZout); RUNTIME_options_ws_free(&options); - RUNTIME_options_finalize(&options, morse); - //MORSE_TASK_dataflush_all(); - MORSE_Sequence_Wait(sequence); - return MORSE_SUCCESS; + RUNTIME_options_finalize(&options, chamctxt); + CHAMELEON_Sequence_Wait(sequence); + return CHAMELEON_SUCCESS; } - /******************************************************************************* * - * @ingroup MORSE_Complex32_t_Tile (Single precision). + * @ingroup CHAMELEON_Complex32_t_Tile (Single precision). * - * MORSE_MLE_sgemv_Tile_Async - Matrix Vector Multiplication. + * EXAGEOSTAT_MLE_sgemv_Tile_Async - Matrix Vector Multiplication. * Operates on matrices stored by tiles. * All matrices are passed through descriptors. * All dimensions are taken from the descriptors. @@ -172,13 +159,13 @@ int MORSE_MLE_dgemv_Tile_Async(MORSE_desc_t *descA, MORSE_desc_t * descZ, MORSE_ ******************************************************************************* * * @param[in] descA - * Morse descriptor. + * Chameleon descriptor. * * @param[in] descZ - * Morse descriptor. + * Chameleon descriptor. * * @param[out] descZout - * Morse descriptor. + * Chameleon descriptor. * * @param[in] sequence * Identifies the sequence of function calls that this call belongs to @@ -190,58 +177,53 @@ int MORSE_MLE_dgemv_Tile_Async(MORSE_desc_t *descA, MORSE_desc_t * descZ, MORSE_ ******************************************************************************* * * @return - * \retval MORSE_SUCCESS successful exit + * \retval CHAMELEON_SUCCESS successful exit * ******************************************************************************* * * ******************************************************************************/ -int MORSE_MLE_sgemv_Tile_Async(MORSE_desc_t *descA, MORSE_desc_t *descZ, MORSE_desc_t *descZout, MORSE_sequence_t *sequence, MORSE_request_t *request) { +int EXAGEOSTAT_MLE_sgemv_Tile_Async(CHAM_desc_t *descA, CHAM_desc_t *descZ, CHAM_desc_t *descZout, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request) { - MORSE_context_t *morse; - MORSE_option_t options; - morse = morse_context_self(); + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + chamctxt = chameleon_context_self(); - if (sequence->status != MORSE_SUCCESS) + if (sequence->status != CHAMELEON_SUCCESS) return -2; - RUNTIME_options_init(&options, morse, sequence, request); + RUNTIME_options_init(&options, chamctxt, sequence, request); int m, n, ldam, m0, n0; int tempmm, tempnn; - MORSE_desc_t A = *descA; + CHAM_desc_t A = *descA; - struct starpu_codelet *cl=&cl_sgemv; + struct starpu_codelet *cl = &cl_sgemv; for (n = 0; n < A.nt; n++) { - tempnn = n == A.nt -1 ? A.n - n * A.nb : A.nb; - for(m = 0; m < A.mt; m++) - { - tempmm = m == A.mt - 1 ? A.m - m* A.mb : A.mb; - ldam= mBLKLDD(descA, m); - m0= m * A.mb; - n0= n * A.nb; + tempnn = n == A.nt - 1 ? A.n - n * A.nb : A.nb; + for (m = 0; m < A.mt; m++) { + tempmm = m == A.mt - 1 ? A.m - m * A.mb : A.mb; + ldam = mBLKLDD(descA, m); + m0 = m * A.mb; + n0 = n * A.nb; starpu_insert_task(starpu_mpi_codelet(cl), - STARPU_VALUE, &tempmm, sizeof(int), - STARPU_VALUE, &tempnn, sizeof(int), - STARPU_VALUE, &ldam, sizeof(int), - STARPU_VALUE, &m0, sizeof(int), - STARPU_VALUE, &n0, sizeof(int), - STARPU_R, EXAGEOSTAT_RTBLKADDR(descA, MorseRealFloat, A.mt, n), - STARPU_R, EXAGEOSTAT_RTBLKADDR(descZ, MorseRealFloat, 0, n), - STARPU_RW, EXAGEOSTAT_RTBLKADDR(descZout, MorseRealFloat, 0, n), + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &tempnn, sizeof(int), + STARPU_VALUE, &ldam, sizeof(int), + STARPU_VALUE, &m0, sizeof(int), + STARPU_VALUE, &n0, sizeof(int), + STARPU_R, EXAGEOSTAT_RTBLKADDR(descA, ChamRealFloat, A.mt, n), + STARPU_R, EXAGEOSTAT_RTBLKADDR(descZ, ChamRealFloat, 0, n), + STARPU_RW, EXAGEOSTAT_RTBLKADDR(descZout, ChamRealFloat, 0, n), #if defined(CHAMELEON_CODELETS_HAVE_NAME) - STARPU_NAME, "sgemv", + STARPU_NAME, "sgemv", #endif - 0); + 0); } - } - //MORSE_TASK_flush_desc( &options, MorseUpperLower, descA); - //MORSE_TASK_flush_desc( &options, MorseUpperLower, descZ); - //MORSE_TASK_flush_desc( &options, MorseUpperLower, descZout); RUNTIME_options_ws_free(&options); - RUNTIME_options_finalize(&options, morse); - //MORSE_TASK_dataflush_all(); - MORSE_Sequence_Wait(sequence); - return MORSE_SUCCESS; -} + RUNTIME_options_finalize(&options, chamctxt); + CHAMELEON_Sequence_Wait(sequence); + return CHAMELEON_SUCCESS; +} \ No newline at end of file diff --git a/exageostat_exact/runtime/starpu/codelets/codelet_zmdet.c b/exageostat_exact/runtime/starpu/codelets/codelet_zmdet.c index 8caa94e..8b341e7 100644 --- a/exageostat_exact/runtime/starpu/codelets/codelet_zmdet.c +++ b/exageostat_exact/runtime/starpu/codelets/codelet_zmdet.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020, King Abdullah University of Science and Technology + * Copyright (c) 2017-2023, King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,82 +11,71 @@ * * StarPU codelet to Calculate determinant of a given triangular matrix (A) * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah * @date 2017-11-07 * **/ #include "../include/starpu_exageostat.h" -static void CORE_dmdet_starpu(void *buffers[],void *cl_arg){ + +static void CORE_dmdet_starpu(void *buffers[], void *cl_arg) { int m; int n; - double *A; + double* A; int m0; int n0; double det = 0; - double *determinant = &det; - - *determinant = 0; - A = (double *)STARPU_MATRIX_GET_PTR(buffers[0]); - determinant = (double *)STARPU_MATRIX_GET_PTR(buffers[1]); - starpu_codelet_unpack_args(cl_arg, &m, &n, &m0, &n0); + double* determinant = &det; + *determinant = 0; + A = (double* ) STARPU_MATRIX_GET_PTR(buffers[0]); + determinant = (double* ) STARPU_MATRIX_GET_PTR(buffers[1]); + starpu_codelet_unpack_args(cl_arg, &m, &n, &m0, &n0); double local_det = core_dmdet(A, m, n, m0, n0); - - *determinant += local_det; - - //printf("%s, %f\n", __func__, *determinant); + *determinant += local_det; } static struct starpu_codelet cl_dmdet = -{ - .where = STARPU_CPU, - .cpu_funcs = {CORE_dmdet_starpu}, - .nbuffers = 2, - .modes = {STARPU_R,STARPU_RW}, - .name = "dmdet" -}; - - - - - -static void CORE_smdet_starpu(void *buffers[], void *cl_arg){ + { + .where = STARPU_CPU, + .cpu_funcs = {CORE_dmdet_starpu}, + .nbuffers = 2, + .modes = {STARPU_R, STARPU_RW}, + .name = "dmdet" + }; + +static void CORE_smdet_starpu(void *buffers[], void *cl_arg) { int m; int n; float *A; int m0; int n0; - float det = 0; - float *determinant = &det; - - *determinant = 0; - A = (float *)STARPU_MATRIX_GET_PTR(buffers[0]); - determinant = (double *)STARPU_MATRIX_GET_PTR(buffers[1]); - starpu_codelet_unpack_args(cl_arg, &m, &n, &m0, &n0); + double det = 0; + double* determinant = &det; + *determinant = 0; + A = (float *) STARPU_MATRIX_GET_PTR(buffers[0]); + determinant = (double* ) STARPU_MATRIX_GET_PTR(buffers[1]); + starpu_codelet_unpack_args(cl_arg, &m, &n, &m0, &n0); float local_det = core_smdet(A, m, n, m0, n0); - *determinant += local_det; + *determinant += local_det; } static struct starpu_codelet cl_smdet = -{ - .where = STARPU_CPU, - .cpu_funcs = {CORE_smdet_starpu}, - .nbuffers = 2, - .modes = {STARPU_R,STARPU_RW}, - .name = "smdet" -}; - - - + { + .where = STARPU_CPU, + .cpu_funcs = {CORE_smdet_starpu}, + .nbuffers = 2, + .modes = {STARPU_R, STARPU_RW}, + .name = "smdet" + }; /***************************************************************************//** * - * @ingroup MORSE_Complex64_t_Tile + * @ingroup CHAMELEON_Complex64_t_Tile * - * MORSE_MLE_dmdet_Tile_Async - Calculate determinant for triangular matrix. + * EXAGEOSTAT_MLE_dmdet_Tile_Async - Calculate determinant for triangular matrix. * Operates on matrices stored by tiles. * All matrices are passed through descriptors. * All dimensions are taken from the descriptors. @@ -94,7 +83,7 @@ static struct starpu_codelet cl_smdet = ******************************************************************************* * * @param[in] descA - * descA: Morse descriptor + * descA: Chameleon descriptor * * * @param[out] descdet @@ -110,57 +99,50 @@ static struct starpu_codelet cl_smdet = ******************************************************************************* * * @return - * \retval MORSE_SUCCESS successful exit + * \retval CHAMELEON_SUCCESS successful exit * ******************************************************************************* * * ******************************************************************************/ -int MORSE_MLE_dmdet_Tile_Async(MORSE_desc_t *descA, MORSE_sequence_t *sequence, MORSE_request_t *request, MORSE_desc_t * descdet) { +int EXAGEOSTAT_MLE_dmdet_Tile_Async(CHAM_desc_t *descA, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request, + CHAM_desc_t *descdet) { - MORSE_context_t *morse; - MORSE_option_t options; - morse = morse_context_self(); - if (sequence->status != MORSE_SUCCESS) + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + chamctxt = chameleon_context_self(); + if (sequence->status != CHAMELEON_SUCCESS) return -2; - RUNTIME_options_init(&options, morse, sequence, request); + RUNTIME_options_init(&options, chamctxt, sequence, request); int m, m0, n0; int tempmm; - MORSE_desc_t A = *descA; - struct starpu_codelet *cl=&cl_dmdet; - + CHAM_desc_t A = *descA; + struct starpu_codelet *cl = &cl_dmdet; - for(m=0; m < A.mt; m++) - { - tempmm = m == A.mt-1 ? A.m-m*A.mb : A.mb; + for (m = 0; m < A.mt; m++) { + tempmm = m == A.mt - 1 ? A.m - m * A.mb : A.mb; starpu_insert_task(starpu_mpi_codelet(cl), - STARPU_VALUE, &tempmm, sizeof(int), - STARPU_VALUE, &tempmm, sizeof(int), - STARPU_R, EXAGEOSTAT_RTBLKADDR(descA, MorseRealDouble, m, m), - STARPU_VALUE, &m0, sizeof(int), - STARPU_VALUE, &n0, sizeof(int), - STARPU_RW, EXAGEOSTAT_RTBLKADDR(descdet, MorseRealDouble, 0, 0), - 0); + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_R, EXAGEOSTAT_RTBLKADDR(descA, ChamRealDouble, m, m), + STARPU_VALUE, &m0, sizeof(int), + STARPU_VALUE, &n0, sizeof(int), + STARPU_RW, EXAGEOSTAT_RTBLKADDR(descdet, ChamRealDouble, 0, 0), + 0); } - //MORSE_TASK_flush_desc( &options, MorseUpperLower, descA); - //MORSE_TASK_flush_desc( &options, MorseUpperLower, descdet); RUNTIME_options_ws_free(&options); - RUNTIME_options_finalize(&options, morse); - //MORSE_TASK_flush_all(); - //MORSE_TASK_dataflush_all(); - return MORSE_SUCCESS; + RUNTIME_options_finalize(&options, chamctxt); + return CHAMELEON_SUCCESS; } - - /***************************************************************************//** * - * @ingroup MORSE_Complex32_t_Tile (single precision) + * @ingroup CHAMELEON_Complex32_t_Tile (single precision) * - * MORSE_MLE_smdet_Tile_Async - Calculate determinant for triangular matrix. + * EXAGEOSTAT_MLE_smdet_Tile_Async - Calculate determinant for triangular matrix. * Operates on matrices stored by tiles. * All matrices are passed through descriptors. * All dimensions are taken from the descriptors. @@ -168,7 +150,7 @@ int MORSE_MLE_dmdet_Tile_Async(MORSE_desc_t *descA, MORSE_sequence_t *sequence, ******************************************************************************* * * @param[in] descA - * descA: Morse descriptor + * descA: Chameleon descriptor * * * @param[out] descdet @@ -184,46 +166,41 @@ int MORSE_MLE_dmdet_Tile_Async(MORSE_desc_t *descA, MORSE_sequence_t *sequence, ******************************************************************************* * * @return - * \retval MORSE_SUCCESS successful exit + * \retval CHAMELEON_SUCCESS successful exit * ******************************************************************************* * * ******************************************************************************/ -int MORSE_MLE_smdet_Tile_Async(MORSE_desc_t *descA, MORSE_sequence_t *sequence, MORSE_request_t *request, MORSE_desc_t *descdet) { +int EXAGEOSTAT_MLE_smdet_Tile_Async(CHAM_desc_t *descA, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request, + CHAM_desc_t *descdet) { - MORSE_context_t *morse; - MORSE_option_t options; - morse = morse_context_self(); - if (sequence->status != MORSE_SUCCESS) + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + chamctxt = chameleon_context_self(); + if (sequence->status != CHAMELEON_SUCCESS) return -2; - RUNTIME_options_init(&options, morse, sequence, request); + RUNTIME_options_init(&options, chamctxt, sequence, request); int m, m0, n0; int tempmm; - MORSE_desc_t A = *descA; + CHAM_desc_t A = *descA; struct starpu_codelet *cl = &cl_smdet; - - for(m=0; m < A.mt; m++) - { - tempmm = m == A.mt-1 ? A.m-m*A.mb : A.mb; + for (m = 0; m < A.mt; m++) { + tempmm = m == A.mt - 1 ? A.m - m * A.mb : A.mb; starpu_insert_task(starpu_mpi_codelet(cl), - STARPU_VALUE, &tempmm, sizeof(int), - STARPU_VALUE, &tempmm, sizeof(int), - STARPU_R, EXAGEOSTAT_RTBLKADDR(descA, MorseRealFloat, m, m), - STARPU_VALUE, &m0, sizeof(int), - STARPU_VALUE, &n0, sizeof(int), - STARPU_RW, EXAGEOSTAT_RTBLKADDR(descdet, MorseRealFloat, 0, 0), - 0); + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_R, EXAGEOSTAT_RTBLKADDR(descA, ChamRealFloat, m, m), + STARPU_VALUE, &m0, sizeof(int), + STARPU_VALUE, &n0, sizeof(int), + STARPU_RW, EXAGEOSTAT_RTBLKADDR(descdet, ChamRealFloat, 0, 0), + 0); } - //MORSE_TASK_flush_desc( &options, MorseUpperLower, descA); - //MORSE_TASK_flush_desc( &options, MorseUpperLower, descdet); RUNTIME_options_ws_free(&options); - RUNTIME_options_finalize(&options, morse); - //MORSE_TASK_flush_all(); - // MORSE_TASK_dataflush_all(); - return MORSE_SUCCESS; -} + RUNTIME_options_finalize(&options, chamctxt); + return CHAMELEON_SUCCESS; +} \ No newline at end of file diff --git a/exageostat_exact/runtime/starpu/codelets/codelet_zmloe_mmom.c b/exageostat_exact/runtime/starpu/codelets/codelet_zmloe_mmom.c new file mode 100644 index 0000000..d7549c4 --- /dev/null +++ b/exageostat_exact/runtime/starpu/codelets/codelet_zmloe_mmom.c @@ -0,0 +1,147 @@ +/** + * + * Copyright (c) 2017-2023, King Abdullah University of Science and Technology + * All rights reserved. + * + * ExaGeoStat is a software package provided by KAUST + **/ +/** + * + * @file codelet_dmloe_mmom.c + * + * StarPU codelet to Calculate determinant of a given triangular matrix (A) + * + * @version 1.2.0 + * + * @author Sameh Abdulah + * @date 2020-06-22 + * + **/ +#include "../include/starpu_exageostat.h" + +static void CORE_dmloe_mmom_starpu(void *buffers[], void *cl_arg) { + int m; + int n; + int i; + double* expr2; + double* expr3; + double* expr4; + double* mloe; + double* mmom; + int m0; + int n0; + + expr2 = (double* ) STARPU_MATRIX_GET_PTR(buffers[0]); + expr3 = (double* ) STARPU_MATRIX_GET_PTR(buffers[1]); + expr4 = (double* ) STARPU_MATRIX_GET_PTR(buffers[2]); + mloe = (double* ) STARPU_MATRIX_GET_PTR(buffers[3]); + mmom = (double* ) STARPU_MATRIX_GET_PTR(buffers[4]); + starpu_codelet_unpack_args(cl_arg, &m, &n, &m0, &n0); + double expr2_ = 0, expr3_ = 0, expr4_ = 0; + printf("--m = %d\n", m); + for (i = 0; i < m * n; i += 2) { + expr2_ += expr2[i]; + expr3_ += expr3[i]; + expr4_ += expr4[i]; + } + + if (expr3_ == 0.0){ + *mloe -= 1.0; + } + else{ + *mloe += (expr2_ / expr3_) - 1.0; + } + + if(expr2_ == 0.0){ + *mmom -= 1.0; + } + else{ + *mmom += (expr4_ / expr2_) - 1.0; + } +} + +static struct starpu_codelet cl_dmloe_mmom = + { + .where = STARPU_CPU, + .cpu_funcs = {CORE_dmloe_mmom_starpu}, + .nbuffers = 5, + .modes = {STARPU_R, STARPU_R, STARPU_R, STARPU_RW, STARPU_RW}, + .name = "dmloe_mmom" + }; + +/***************************************************************************//** + * + * @ingroup CHAMELEON_Complex64_t_Tile + * + * EXAGEOSTAT_MLE_dmloe_mmom_Tile_Async - Calculate determinant for triangular matrix. + * Operates on matrices stored by tiles. + * All matrices are passed through descriptors. + * All dimensions are taken from the descriptors. + * + ******************************************************************************* + * + * @param[in] descA + * descA: Chameleon descriptor + * + * + * @param[out] descdet + * descerror: determinant value + * + * @param[in] sequence + * Identifies the sequence of function calls that this call belongs to + * (for completion checks and exception handling purposes). + * + * @param[out] request + * Identifies this function call (for exception handling purposes). + * + ******************************************************************************* + * + * @return + * \retval CHAMELEON_SUCCESS successful exit + * + ******************************************************************************* + * + * + ******************************************************************************/ +int EXAGEOSTAT_MLE_dmloe_mmom_Tile_Async(CHAM_desc_t *descexpr2, RUNTIME_sequence_t *descexpr3, + RUNTIME_sequence_t *descexpr4, RUNTIME_sequence_t *descmloe, + RUNTIME_sequence_t *descmmom, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request) { + + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + chamctxt = chameleon_context_self(); + if (sequence->status != CHAMELEON_SUCCESS) + return -2; + + RUNTIME_options_init(&options, chamctxt, sequence, request); + + int m, n, m0, n0; + struct starpu_codelet *cl = &cl_dmloe_mmom; + int tempmm, tempnn; + + for (n = 0; n < descexpr2->nt; n++) { + tempnn = n == descexpr2->nt - 1 ? descexpr2->n - n * descexpr2->nb : descexpr2->nb; + for (m = 0; m < descexpr2->mt; m++) { + + tempmm = m == descexpr2->mt - 1 ? descexpr2->m - m * descexpr2->mb : descexpr2->mb; + m0 = m * descexpr2->mb; + n0 = n * descexpr2->nb; + starpu_insert_task(starpu_mpi_codelet(cl), + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &tempnn, sizeof(int), + STARPU_VALUE, &m0, sizeof(int), + STARPU_VALUE, &n0, sizeof(int), + STARPU_R, EXAGEOSTAT_RTBLKADDR(descexpr2, ChamRealDouble, m, n), + STARPU_R, EXAGEOSTAT_RTBLKADDR(descexpr3, ChamRealDouble, m, n), + STARPU_R, EXAGEOSTAT_RTBLKADDR(descexpr4, ChamRealDouble, m, n), + STARPU_RW, EXAGEOSTAT_RTBLKADDR(descmloe, ChamRealDouble, m, n), + STARPU_RW, EXAGEOSTAT_RTBLKADDR(descmmom, ChamRealDouble, m, n), + 0); + } + } + RUNTIME_options_ws_free(&options); + RUNTIME_options_finalize(&options, chamctxt); + + return CHAMELEON_SUCCESS; +} \ No newline at end of file diff --git a/exageostat_exact/runtime/starpu/codelets/codelet_zmse.c b/exageostat_exact/runtime/starpu/codelets/codelet_zmse.c index 1c8c34f..4a342f4 100644 --- a/exageostat_exact/runtime/starpu/codelets/codelet_zmse.c +++ b/exageostat_exact/runtime/starpu/codelets/codelet_zmse.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,84 +11,74 @@ * * StarPU codelet to Calculate Mean Square Error (MSE) between two vectors. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2018-11-11 + * @date 2022-11-09 * **/ #include "../include/starpu_exageostat.h" -static void CORE_dmse_starpu(void *buffers[], void *cl_arg){ + +static void CORE_dmse_starpu(void *buffers[], void *cl_arg) { int m, m0, i; - double * zpre; - double * zmiss; - double * serror; + double* zpre; + double* zmiss; + double* serror; double local_serror = 0.0; - serror = (double *)STARPU_MATRIX_GET_PTR(buffers[0]); - zpre = (double *)STARPU_MATRIX_GET_PTR(buffers[1]); - zmiss = (double *)STARPU_MATRIX_GET_PTR(buffers[2]); + serror = (double* ) STARPU_MATRIX_GET_PTR(buffers[0]); + zpre = (double* ) STARPU_MATRIX_GET_PTR(buffers[1]); + zmiss = (double* ) STARPU_MATRIX_GET_PTR(buffers[2]); starpu_codelet_unpack_args(cl_arg, &m, &m0); - - for(i = 0; i < m; i++) - { - // printf("%f, %f, \n",zpre[i], zmiss[i]); - local_serror += pow((zpre[i]-zmiss[i]), 2); + for (i = 0; i < m; i++) { + local_serror += pow((zpre[i] - zmiss[i]), 2); } - *serror += local_serror; } static struct starpu_codelet cl_dmse = -{ - .where = STARPU_CPU, - .cpu_funcs = {CORE_dmse_starpu}, - .nbuffers = 3, - .modes = {STARPU_RW,STARPU_R,STARPU_R}, - .name = "dmse" -}; - - -//****************************************************************************** - -static void CORE_smse_starpu(void *buffers[], void *cl_arg){ + { + .where = STARPU_CPU, + .cpu_funcs = {CORE_dmse_starpu}, + .nbuffers = 3, + .modes = {STARPU_RW, STARPU_R, STARPU_R}, + .name = "dmse" + }; + +static void CORE_smse_starpu(void *buffers[], void *cl_arg) { int m, m0, i; float *zpre; float *zmiss; float *serror; float local_serror = 0.0; - serror = (float *)STARPU_MATRIX_GET_PTR(buffers[0]); - zpre = (float *)STARPU_MATRIX_GET_PTR(buffers[1]); - zmiss = (float *)STARPU_MATRIX_GET_PTR(buffers[2]); + serror = (float *) STARPU_MATRIX_GET_PTR(buffers[0]); + zpre = (float *) STARPU_MATRIX_GET_PTR(buffers[1]); + zmiss = (float *) STARPU_MATRIX_GET_PTR(buffers[2]); starpu_codelet_unpack_args(cl_arg, &m, &m0); - for(i = 0; i < m; i++) - { - // printf("%f, %f, \n",zpre[i], zmiss[i]); - local_serror += pow((zpre[i]-zmiss[i]), 2); + for (i = 0; i < m; i++) { + local_serror += pow((zpre[i] - zmiss[i]), 2); } - *serror += local_serror; } static struct starpu_codelet cl_smse = -{ - .where = STARPU_CPU, - .cpu_funcs = {CORE_smse_starpu}, - .nbuffers = 3, - .modes = {STARPU_RW,STARPU_R,STARPU_R}, - .name = "smse" -}; - + { + .where = STARPU_CPU, + .cpu_funcs = {CORE_smse_starpu}, + .nbuffers = 3, + .modes = {STARPU_RW, STARPU_R, STARPU_R}, + .name = "smse" + }; /******************************************************************************* * - * @ingroup MORSE_Complex64_t_Tile + * @ingroup CHAMELEON_Complex64_t_Tile * - * MORSE_MLE_dmse_Tile_Async - Calculate mean square eror (MSE) scalar value the prediction. + * EXAGEOSTAT_MLE_dmse_Tile_Async - Calculate mean square eror (MSE) scalar value the prediction. * Operates on matrices stored by tiles. * All matrices are passed through descriptors. * All dimensions are taken from the descriptors. @@ -114,62 +104,55 @@ static struct starpu_codelet cl_smse = ******************************************************************************* * * @return - * \retval MORSE_SUCCESS successful exit + * \retval CHAMELEON_SUCCESS successful exit * ******************************************************************************* * * ******************************************************************************/ -int MORSE_MLE_dmse_Tile_Async(MORSE_desc_t *descZpre, MORSE_desc_t *descZmiss, MORSE_desc_t *descserror, MORSE_sequence_t *sequence, MORSE_request_t *request){ - MORSE_context_t *morse; - MORSE_option_t options; - morse = morse_context_self(); - if (sequence->status != MORSE_SUCCESS) +int EXAGEOSTAT_MLE_dmse_Tile_Async(CHAM_desc_t *descZpre, CHAM_desc_t *descZmiss, CHAM_desc_t *descserror, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request) { + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + chamctxt = chameleon_context_self(); + if (sequence->status != CHAMELEON_SUCCESS) return -2; - RUNTIME_options_init(&options, morse, sequence, request); + RUNTIME_options_init(&options, chamctxt, sequence, request); int m, m0; int tempmm; - MORSE_desc_t Zpre = *descZpre; - struct starpu_codelet *cl=&cl_dmse; + CHAM_desc_t Zpre = *descZpre; + struct starpu_codelet *cl = &cl_dmse; for (m = 0; m < Zpre.mt; m++) { - tempmm = m == Zpre.mt-1 ? Zpre.m - m * Zpre.mb : Zpre.mb; + tempmm = m == Zpre.mt - 1 ? Zpre.m - m * Zpre.mb : Zpre.mb; m0 = m * Zpre.mb; starpu_insert_task(starpu_mpi_codelet(cl), - STARPU_VALUE, &tempmm, sizeof(int), - STARPU_VALUE, &m0, sizeof(int), - STARPU_RW, EXAGEOSTAT_RTBLKADDR(descserror, MorseRealDouble, 0, 0), - STARPU_R, EXAGEOSTAT_RTBLKADDR(descZpre, MorseRealDouble, m, 0), - STARPU_R, EXAGEOSTAT_RTBLKADDR(descZmiss, MorseRealDouble, m, 0), + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &m0, sizeof(int), + STARPU_RW, EXAGEOSTAT_RTBLKADDR(descserror, ChamRealDouble, 0, 0), + STARPU_R, EXAGEOSTAT_RTBLKADDR(descZpre, ChamRealDouble, m, 0), + STARPU_R, EXAGEOSTAT_RTBLKADDR(descZmiss, ChamRealDouble, m, 0), #if defined(CHAMELEON_CODELETS_HAVE_NAME) - STARPU_NAME, "dmse", + STARPU_NAME, "dmse", #endif - 0); + 0); } - - //MORSE_TASK_flush_desc( &options, MorseUpperLower, descZpre); - //MORSE_TASK_flush_desc( &options, MorseUpperLower, descZmiss); - //MORSE_TASK_flush_desc( &options, MorseUpperLower, descserror); RUNTIME_options_ws_free(&options); - RUNTIME_options_finalize(&options, morse); - //MORSE_TASK_dataflush_all(); - MORSE_Sequence_Wait(sequence); - return MORSE_SUCCESS; + RUNTIME_options_finalize(&options, chamctxt); + CHAMELEON_Sequence_Wait(sequence); + return CHAMELEON_SUCCESS; } - - - /******************************************************************************* * - * @ingroup MORSE_Complex32_t_Tile (single precision) + * @ingroup CHAMELEON_Complex32_t_Tile (single precision) * - * MORSE_MLE_smse_Tile_Async - Calculate mean square eror (MSE) scalar value the prediction. + * EXAGEOSTAT_MLE_smse_Tile_Async - Calculate mean square eror (MSE) scalar value the prediction. * Operates on matrices stored by tiles. * All matrices are passed through descriptors. * All dimensions are taken from the descriptors. @@ -195,50 +178,46 @@ int MORSE_MLE_dmse_Tile_Async(MORSE_desc_t *descZpre, MORSE_desc_t *descZmiss, M ******************************************************************************* * * @return - * \retval MORSE_SUCCESS successful exit + * \retval CHAMELEON_SUCCESS successful exit * ******************************************************************************* * * ******************************************************************************/ -int MORSE_MLE_smse_Tile_Async(MORSE_desc_t *descZpre, MORSE_desc_t *descZmiss, MORSE_desc_t *descserror, MORSE_sequence_t *sequence, MORSE_request_t *request){ - MORSE_context_t *morse; - MORSE_option_t options; - morse = morse_context_self(); - if (sequence->status != MORSE_SUCCESS) +int EXAGEOSTAT_MLE_smse_Tile_Async(CHAM_desc_t *descZpre, CHAM_desc_t *descZmiss, CHAM_desc_t *descserror, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request) { + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + chamctxt = chameleon_context_self(); + if (sequence->status != CHAMELEON_SUCCESS) return -2; - RUNTIME_options_init(&options, morse, sequence, request); + RUNTIME_options_init(&options, chamctxt, sequence, request); int m, m0; int tempmm; - MORSE_desc_t Zpre = *descZpre; - struct starpu_codelet *cl=&cl_smse; + CHAM_desc_t Zpre = *descZpre; + struct starpu_codelet *cl = &cl_smse; for (m = 0; m < Zpre.mt; m++) { - tempmm = m == Zpre.mt-1 ? Zpre.m - m * Zpre.mb : Zpre.mb; + tempmm = m == Zpre.mt - 1 ? Zpre.m - m * Zpre.mb : Zpre.mb; m0 = m * Zpre.mb; starpu_insert_task(starpu_mpi_codelet(cl), - STARPU_VALUE, &tempmm, sizeof(int), - STARPU_VALUE, &m0, sizeof(int), - STARPU_RW, EXAGEOSTAT_RTBLKADDR(descserror, MorseRealFloat, 0, 0), - STARPU_R, EXAGEOSTAT_RTBLKADDR(descZpre, MorseRealFloat, m, 0), - STARPU_R, EXAGEOSTAT_RTBLKADDR(descZmiss, MorseRealFloat, m, 0), + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &m0, sizeof(int), + STARPU_RW, EXAGEOSTAT_RTBLKADDR(descserror, ChamRealFloat, 0, 0), + STARPU_R, EXAGEOSTAT_RTBLKADDR(descZpre, ChamRealFloat, m, 0), + STARPU_R, EXAGEOSTAT_RTBLKADDR(descZmiss, ChamRealFloat, m, 0), #if defined(CHAMELEON_CODELETS_HAVE_NAME) - STARPU_NAME, "smse", + STARPU_NAME, "smse", #endif - 0); + 0); } - - //MORSE_TASK_flush_desc( &options, MorseUpperLower, descZpre); - //MORSE_TASK_flush_desc( &options, MorseUpperLower, descZmiss); - //MORSE_TASK_flush_desc( &options, MorseUpperLower, descserror); RUNTIME_options_ws_free(&options); - RUNTIME_options_finalize(&options, morse); - //MORSE_TASK_dataflush_all(); - MORSE_Sequence_Wait(sequence); - return MORSE_SUCCESS; -} + RUNTIME_options_finalize(&options, chamctxt); + CHAMELEON_Sequence_Wait(sequence); + return CHAMELEON_SUCCESS; +} \ No newline at end of file diff --git a/exageostat_exact/runtime/starpu/codelets/codelet_zmse_bivariate.c b/exageostat_exact/runtime/starpu/codelets/codelet_zmse_bivariate.c index 66fe143..d738fc8 100644 --- a/exageostat_exact/runtime/starpu/codelets/codelet_zmse_bivariate.c +++ b/exageostat_exact/runtime/starpu/codelets/codelet_zmse_bivariate.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,66 +11,60 @@ * * StarPU codelet to Calculate Mean Square Error (MSE) between two vectors. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2020-06-06 + * @date 2022-11-09 * **/ #include "../include/starpu_exageostat.h" -static void CORE_dmse_bivariate_starpu(void *buffers[], void *cl_arg){ - int m, m0, i; - double * zpre; - double * zmiss; - double * serror1; - double * serror2; - double * serror; - double local_serror1 = 0.0; - double local_serror2 = 0.0; - double local_serror = 0.0; - serror1 = (double *)STARPU_MATRIX_GET_PTR(buffers[0]); - serror2 = (double *)STARPU_MATRIX_GET_PTR(buffers[1]); - serror = (double *)STARPU_MATRIX_GET_PTR(buffers[2]); - zpre = (double *)STARPU_MATRIX_GET_PTR(buffers[3]); - zmiss = (double *)STARPU_MATRIX_GET_PTR(buffers[4]); - - starpu_codelet_unpack_args(cl_arg, &m, &m0); - - for(i = 0; i < m; i++) - { - if(i%2 == 0) - { - local_serror1 += pow((zpre[i]-zmiss[i]), 2); - // printf("===%f\n", local_serror1); - } else - local_serror2 += pow((zpre[i]-zmiss[i]), 2); - local_serror += pow((zpre[i]-zmiss[i]), 2); - - // printf("%f, %f, %f\n", local_serror1, local_serror2, local_serror); - } - - *serror1 += local_serror1; - *serror2 += local_serror2; - *serror += local_serror; +static void CORE_dmse_bivariate_starpu(void *buffers[], void *cl_arg) { + int m, m0, i; + double* zpre; + double* zmiss; + double* serror1; + double* serror2; + double* serror; + double local_serror1 = 0.0; + double local_serror2 = 0.0; + double local_serror = 0.0; + + serror1 = (double* ) STARPU_MATRIX_GET_PTR(buffers[0]); + serror2 = (double* ) STARPU_MATRIX_GET_PTR(buffers[1]); + serror = (double* ) STARPU_MATRIX_GET_PTR(buffers[2]); + zpre = (double* ) STARPU_MATRIX_GET_PTR(buffers[3]); + zmiss = (double* ) STARPU_MATRIX_GET_PTR(buffers[4]); + + starpu_codelet_unpack_args(cl_arg, &m, &m0); + + for (i = 0; i < m; i++) { + if (i % 2 == 0) { + local_serror1 += pow((zpre[i] - zmiss[i]), 2); + } else + local_serror2 += pow((zpre[i] - zmiss[i]), 2); + local_serror += pow((zpre[i] - zmiss[i]), 2); + } + *serror1 += local_serror1; + *serror2 += local_serror2; + *serror += local_serror; } static struct starpu_codelet cl_dmse_bivariate = -{ - .where = STARPU_CPU, - .cpu_funcs = {CORE_dmse_bivariate_starpu}, - .nbuffers = 5, - .modes = {STARPU_RW, STARPU_RW, STARPU_RW, STARPU_R, STARPU_R}, - .name = "dmse_bivariate" -}; - + { + .where = STARPU_CPU, + .cpu_funcs = {CORE_dmse_bivariate_starpu}, + .nbuffers = 5, + .modes = {STARPU_RW, STARPU_RW, STARPU_RW, STARPU_R, STARPU_R}, + .name = "dmse_bivariate" + }; /******************************************************************************* * - * @ingroup MORSE_Complex64_t_Tile + * @ingroup CHAMELEON_Complex64_t_Tile * - * MORSE_MLE_dmse_bivariate_Tile_Async - Calculate mean square eror (MSE) scalar value the prediction. + * EXAGEOSTAT_MLE_dmse_bivariate_Tile_Async - Calculate mean square eror (MSE) scalar value the prediction. * Operates on matrices stored by tiles. * All matrices are passed through descriptors. * All dimensions are taken from the descriptors. @@ -96,54 +90,47 @@ static struct starpu_codelet cl_dmse_bivariate = ******************************************************************************* * * @return - * \retval MORSE_SUCCESS successful exit + * \retval CHAMELEON_SUCCESS successful exit * ******************************************************************************* * * ******************************************************************************/ -int MORSE_MLE_dmse_bivariate_Tile_Async(MORSE_desc_t *descZpre, MORSE_desc_t *descZmiss, MORSE_desc_t *descserror1, MORSE_desc_t *descserror2, MORSE_desc_t *descserror, MORSE_sequence_t *sequence, MORSE_request_t *request){ - MORSE_context_t *morse; - MORSE_option_t options; - morse = morse_context_self(); - if (sequence->status != MORSE_SUCCESS) - return -2; - RUNTIME_options_init(&options, morse, sequence, request); - - int m, m0; - int tempmm; - MORSE_desc_t Zpre = *descZpre; - struct starpu_codelet *cl=&cl_dmse_bivariate; - - - for (m = 0; m < Zpre.mt; m++) { - tempmm = m == Zpre.mt-1 ? Zpre.m - m * Zpre.mb : Zpre.mb; - - m0 = m * Zpre.mb; - - starpu_insert_task(starpu_mpi_codelet(cl), - STARPU_VALUE, &tempmm, sizeof(int), - STARPU_VALUE, &m0, sizeof(int), - STARPU_RW, EXAGEOSTAT_RTBLKADDR(descserror1, MorseRealDouble, 0, 0), - STARPU_RW, EXAGEOSTAT_RTBLKADDR(descserror2, MorseRealDouble, 0, 0), - STARPU_RW, EXAGEOSTAT_RTBLKADDR(descserror, MorseRealDouble, 0, 0), - STARPU_R, EXAGEOSTAT_RTBLKADDR(descZpre, MorseRealDouble, m, 0), - STARPU_R, EXAGEOSTAT_RTBLKADDR(descZmiss, MorseRealDouble, m, 0), +int EXAGEOSTAT_MLE_dmse_bivariate_Tile_Async(CHAM_desc_t *descZpre, CHAM_desc_t *descZmiss, CHAM_desc_t *descserror1, + CHAM_desc_t *descserror2, CHAM_desc_t *descserror, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request) { + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + chamctxt = chameleon_context_self(); + if (sequence->status != CHAMELEON_SUCCESS) + return -2; + RUNTIME_options_init(&options, chamctxt, sequence, request); + + int m, m0; + int tempmm; + CHAM_desc_t Zpre = *descZpre; + struct starpu_codelet *cl = &cl_dmse_bivariate; + + + for (m = 0; m < Zpre.mt; m++) { + tempmm = m == Zpre.mt - 1 ? Zpre.m - m * Zpre.mb : Zpre.mb; + m0 = m * Zpre.mb; + starpu_insert_task(starpu_mpi_codelet(cl), + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &m0, sizeof(int), + STARPU_RW, EXAGEOSTAT_RTBLKADDR(descserror1, ChamRealDouble, 0, 0), + STARPU_RW, EXAGEOSTAT_RTBLKADDR(descserror2, ChamRealDouble, 0, 0), + STARPU_RW, EXAGEOSTAT_RTBLKADDR(descserror, ChamRealDouble, 0, 0), + STARPU_R, EXAGEOSTAT_RTBLKADDR(descZpre, ChamRealDouble, m, 0), + STARPU_R, EXAGEOSTAT_RTBLKADDR(descZmiss, ChamRealDouble, m, 0), #if defined(CHAMELEON_CODELETS_HAVE_NAME) - STARPU_NAME, "dmse_bivariate", + STARPU_NAME, "dmse_bivariate", #endif - 0); - } - - //MORSE_TASK_flush_desc( &options, MorseUpperLower, descZpre); - //MORSE_TASK_flush_desc( &options, MorseUpperLower, descZmiss); - //MORSE_TASK_flush_desc( &options, MorseUpperLower, descserror); - RUNTIME_options_ws_free(&options); - RUNTIME_options_finalize(&options, morse); - //MORSE_TASK_dataflush_all(); - MORSE_Sequence_Wait(sequence); - return MORSE_SUCCESS; -} - - + 0); + } + RUNTIME_options_ws_free(&options); + RUNTIME_options_finalize(&options, chamctxt); + CHAMELEON_Sequence_Wait(sequence); + return CHAMELEON_SUCCESS; +} \ No newline at end of file diff --git a/exageostat_exact/runtime/starpu/codelets/codelet_zmse_trivariate.c b/exageostat_exact/runtime/starpu/codelets/codelet_zmse_trivariate.c new file mode 100644 index 0000000..10b05d1 --- /dev/null +++ b/exageostat_exact/runtime/starpu/codelets/codelet_zmse_trivariate.c @@ -0,0 +1,145 @@ +/** + * + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology + * All rights reserved. + * + * ExaGeoStat is a software package provided by KAUST + **/ +/** + * + * @file codelet_zmse_trivariate.c + * + * StarPU codelet to Calculate Mean Square Error (MSE) between two vectors. + * + * @version 1.2.0 + * + * @author Sameh Abdulah + * @date 2022-11-09 + * + **/ +#include "../include/starpu_exageostat.h" + +static void CORE_dmse_trivariate_starpu(void *buffers[], void *cl_arg) { + int m, m0, i; + double* zpre; + double* zmiss; + double* serror1; + double* serror2; + double* serror3; + double* serror; + double local_serror1 = 0.0; + double local_serror2 = 0.0; + double local_serror3 = 0.0; + double local_serror = 0.0; + + serror1 = (double* ) STARPU_MATRIX_GET_PTR(buffers[0]); + serror2 = (double* ) STARPU_MATRIX_GET_PTR(buffers[1]); + serror3 = (double* ) STARPU_MATRIX_GET_PTR(buffers[2]); + serror = (double* ) STARPU_MATRIX_GET_PTR(buffers[3]); + zpre = (double* ) STARPU_MATRIX_GET_PTR(buffers[4]); + zmiss = (double* ) STARPU_MATRIX_GET_PTR(buffers[5]); + + starpu_codelet_unpack_args(cl_arg, &m, &m0); + + for (i = 0; i < m; i += 3) + local_serror1 += pow((zpre[i] - zmiss[i]), 2); + for (i = 1; i < m; i += 3) + local_serror2 += pow((zpre[i] - zmiss[i]), 2); + for (i = 2; i < m; i += 3) + local_serror3 += pow((zpre[i] - zmiss[i]), 2); + for (i = 0; i < m; i++) + local_serror += pow((zpre[i] - zmiss[i]), 2); + + *serror1 += local_serror1; + *serror2 += local_serror2; + *serror3 += local_serror3; + *serror += local_serror; +} + +static struct starpu_codelet cl_dmse_trivariate = + { + .where = STARPU_CPU, + .cpu_funcs = {CORE_dmse_trivariate_starpu}, + .nbuffers = 6, + .modes = {STARPU_RW, STARPU_RW, STARPU_RW, STARPU_RW, STARPU_R, STARPU_R}, + .name = "dmse_trivariate" + }; + +/******************************************************************************* + * + * @ingroup CHAMELEON_Complex64_t_Tile + * + * EXAGEOSTAT_MLE_dmse_trivariate_Tile_Async - Calculate mean square eror (MSE) scalar value the prediction. + * Operates on matrices stored by tiles. + * All matrices are passed through descriptors. + * All dimensions are taken from the descriptors. + * + ******************************************************************************* + * + * @param[in] descZpre + * descZpre: Observed measurements descZpre + * + * @param[in] descZmiss + * descZpre: Missing measurements descZpre + * + * @param[out] descserror + * descerror: Mean Square Error (MSE) + * + * @param[in] sequence + * Identifies the sequence of function calls that this call belongs to + * (for completion checks and exception handling purposes). + * + * @param[out] request + * Identifies this function call (for exception handling purposes). + * + ******************************************************************************* + * + * @return + * \retval CHAMELEON_SUCCESS successful exit + * + ******************************************************************************* + * + * + ******************************************************************************/ + +int EXAGEOSTAT_MLE_dmse_trivariate_Tile_Async(CHAM_desc_t *descZpre, CHAM_desc_t *descZmiss, CHAM_desc_t *descserror1, + CHAM_desc_t *descserror2, CHAM_desc_t *descserror3, + CHAM_desc_t *descserror, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request) { + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + chamctxt = chameleon_context_self(); + if (sequence->status != CHAMELEON_SUCCESS) + return -2; + RUNTIME_options_init(&options, chamctxt, sequence, request); + + int m, m0; + int tempmm; + CHAM_desc_t Zpre = *descZpre; + struct starpu_codelet *cl = &cl_dmse_trivariate; + + + for (m = 0; m < Zpre.mt; m++) { + tempmm = m == Zpre.mt - 1 ? Zpre.m - m * Zpre.mb : Zpre.mb; + + m0 = m * Zpre.mb; + + starpu_insert_task(starpu_mpi_codelet(cl), + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &m0, sizeof(int), + STARPU_RW, EXAGEOSTAT_RTBLKADDR(descserror1, ChamRealDouble, 0, 0), + STARPU_RW, EXAGEOSTAT_RTBLKADDR(descserror2, ChamRealDouble, 0, 0), + STARPU_RW, EXAGEOSTAT_RTBLKADDR(descserror3, ChamRealDouble, 0, 0), + STARPU_RW, EXAGEOSTAT_RTBLKADDR(descserror, ChamRealDouble, 0, 0), + STARPU_R, EXAGEOSTAT_RTBLKADDR(descZpre, ChamRealDouble, m, 0), + STARPU_R, EXAGEOSTAT_RTBLKADDR(descZmiss, ChamRealDouble, m, 0), +#if defined(CHAMELEON_CODELETS_HAVE_NAME) + STARPU_NAME, "dmse_trivariate", +#endif + 0); + } + RUNTIME_options_ws_free(&options); + RUNTIME_options_finalize(&options, chamctxt); + CHAMELEON_Sequence_Wait(sequence); + return CHAMELEON_SUCCESS; +} \ No newline at end of file diff --git a/exageostat_exact/runtime/starpu/codelets/codelet_ztrace.c b/exageostat_exact/runtime/starpu/codelets/codelet_ztrace.c new file mode 100644 index 0000000..00298bf --- /dev/null +++ b/exageostat_exact/runtime/starpu/codelets/codelet_ztrace.c @@ -0,0 +1,214 @@ +/** + * + * Copyright (c) 2017-2023, King Abdullah University of Science and Technology + * All rights reserved. + * + * ExaGeoStat is a software package provided by KAUST + **/ +/** + * + * @file codelet_dtrace.c + * + * StarPU codelet to Calculate trace of a given matrix (A) + * + * @version 1.2.0 + * + * @author Sameh Abdulah + * @date 2020-09-18 + * + **/ +#include "../include/starpu_exageostat.h" +#include "exageostatcore.h" + +static void CORE_dtrace_starpu(void *buffers[], void *cl_arg) { + int m; + int n; + double* A; + int m0; + int n0; + double s = 0; + double* sum = &s; + double* trace; + + *sum = 0; + A = (double* ) STARPU_MATRIX_GET_PTR(buffers[0]); + sum = (double* ) STARPU_MATRIX_GET_PTR(buffers[1]); + trace = (double* ) STARPU_MATRIX_GET_PTR(buffers[2]); + starpu_codelet_unpack_args(cl_arg, &m, &n, &m0, &n0); + + double local_s = core_dtrace(A, m, n, m0, n0, trace); + *sum += local_s; +} + +static struct starpu_codelet cl_dtrace = + { + .where = STARPU_CPU, + .cpu_funcs = {CORE_dtrace_starpu}, + .nbuffers = 3, + .modes = {STARPU_R, STARPU_RW, STARPU_W}, + .name = "dtrace" + }; + + +static void CORE_strace_starpu(void *buffers[], void *cl_arg) { + int m; + int n; + float *A; + int m0; + int n0; + double s = 0; + double* sum = &s; + + *sum = 0; + A = (float *) STARPU_MATRIX_GET_PTR(buffers[0]); + sum = (double* ) STARPU_MATRIX_GET_PTR(buffers[1]); + starpu_codelet_unpack_args(cl_arg, &m, &n, &m0, &n0); + + //// TODO: Fix this. + float local_s = core_strace(A, m, n, m0, n0); + *sum += local_s; +} + +static struct starpu_codelet cl_strace = + { + .where = STARPU_CPU, + .cpu_funcs = {CORE_strace_starpu}, + .nbuffers = 2, + .modes = {STARPU_R, STARPU_RW}, + .name = "strace" + }; + +/***************************************************************************//** + * + * @ingroup CHAMELEON_Complex64_t_Tile + * + * EXAGEOSTAT_MLE_dtrace_Tile_Async - Calculate determinant for triangular matrix. + * Operates on matrices stored by tiles. + * All matrices are passed through descriptors. + * All dimensions are taken from the descriptors. + * + ******************************************************************************* + * + * @param[in] descA + * descA: Chameleon descriptor + * + * + * @param[out] descsum + * descerror: determinant value + * + * @param[in] sequence + * Identifies the sequence of function calls that this call belongs to + * (for completion checks and exception handling purposes). + * + * @param[out] request + * Identifies this function call (for exception handling purposes). + * + ******************************************************************************* + * + * @return + * \retval CHAMELEON_SUCCESS successful exit + * + ******************************************************************************* + * + * + ******************************************************************************/ +int EXAGEOSTAT_MLE_dtrace_Tile_Async(CHAM_desc_t *descA, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request, CHAM_desc_t *descsum, CHAM_desc_t *desctrace) { + + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + chamctxt = chameleon_context_self(); + if (sequence->status != CHAMELEON_SUCCESS) + return -2; + + RUNTIME_options_init(&options, chamctxt, sequence, request); + + int m, m0, n0; + int tempmm; + CHAM_desc_t A = *descA; + struct starpu_codelet *cl = &cl_dtrace; + + + for (m = 0; m < A.mt; m++) { + tempmm = m == A.mt - 1 ? A.m - m * A.mb : A.mb; + starpu_insert_task(starpu_mpi_codelet(cl), + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_R, EXAGEOSTAT_RTBLKADDR(descA, ChamRealDouble, m, m), + STARPU_VALUE, &m0, sizeof(int), + STARPU_VALUE, &n0, sizeof(int), + STARPU_RW, EXAGEOSTAT_RTBLKADDR(descsum, ChamRealDouble, 0, 0), + STARPU_W, EXAGEOSTAT_RTBLKADDR(desctrace, ChamRealDouble, m, 0), + 0); + } + RUNTIME_options_ws_free(&options); + RUNTIME_options_finalize(&options, chamctxt); + return CHAMELEON_SUCCESS; +} + +/***************************************************************************//** + * + * @ingroup CHAMELEON_Complex32_t_Tile (single precision) + * + * CHAMELEON_MLE_strace_Tile_Async - Calculate determinant for triangular matrix. + * Operates on matrices stored by tiles. + * All matrices are passed through descriptors. + * All dimensions are taken from the descriptors. + * + ******************************************************************************* + * + * @param[in] descA + * descA: Chameleon descriptor + * + * + * @param[out] descsum + * descerror: determinant value + * + * @param[in] sequence + * Identifies the sequence of function calls that this call belongs to + * (for completion checks and exception handling purposes). + * + * @param[out] request + * Identifies this function call (for exception handling purposes). + * + ******************************************************************************* + * + * @return + * \retval CHAMELEON_SUCCESS successful exit + * + ******************************************************************************* + * + * + ******************************************************************************/ +int CHAMELEON_MLE_strace_Tile_Async(CHAM_desc_t *descA, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request, + CHAM_desc_t *descsum) { + + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + chamctxt = chameleon_context_self(); + if (sequence->status != CHAMELEON_SUCCESS) + return -2; + + RUNTIME_options_init(&options, chamctxt, sequence, request); + + int m, m0, n0; + int tempmm; + CHAM_desc_t A = *descA; + struct starpu_codelet *cl = &cl_strace; + + + for (m = 0; m < A.mt; m++) { + tempmm = m == A.mt - 1 ? A.m - m * A.mb : A.mb; + starpu_insert_task(starpu_mpi_codelet(cl), + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_R, EXAGEOSTAT_RTBLKADDR(descA, ChamRealFloat, m, m), + STARPU_VALUE, &m0, sizeof(int), + STARPU_VALUE, &n0, sizeof(int), + STARPU_RW, EXAGEOSTAT_RTBLKADDR(descsum, ChamRealFloat, 0, 0), + 0); + } + RUNTIME_options_ws_free(&options); + RUNTIME_options_finalize(&options, chamctxt); + return CHAMELEON_SUCCESS; +} \ No newline at end of file diff --git a/exageostat_exact/runtime/starpu/codelets/codelet_zzcpy.c b/exageostat_exact/runtime/starpu/codelets/codelet_zzcpy.c index 5898195..c3dbbd4 100644 --- a/exageostat_exact/runtime/starpu/codelets/codelet_zzcpy.c +++ b/exageostat_exact/runtime/starpu/codelets/codelet_zzcpy.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020, King Abdullah University of Science and Technology + * Copyright (c) 2017-2023, King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,65 +11,62 @@ * * StarPU codelet to Copy contents of descriptor to vector * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah * @date 2017-11-07 * **/ #include "../include/starpu_exageostat.h" +#include "exageostatcore.h" -static void CORE_dzcpy_starpu(void *buffers[], void *cl_arg){ - int m; - double * A; - int m0; - double * r; +static void CORE_dzcpy_starpu(void *buffers[], void *cl_arg) { + int m; + double* A; + int m0; + double* r; - A = (double *)STARPU_MATRIX_GET_PTR(buffers[0]); - starpu_codelet_unpack_args(cl_arg, &m, &m0, &r); - - core_dzcpy(A, m, m0, r); + A = (double* ) STARPU_MATRIX_GET_PTR(buffers[0]); + starpu_codelet_unpack_args(cl_arg, &m, &m0, &r); + core_dzcpy(A, m, m0, r); } static struct starpu_codelet cl_dzcpy = -{ - .where = STARPU_CPU, - .cpu_funcs = {CORE_dzcpy_starpu}, - .nbuffers = 1, - .modes = {STARPU_W}, - .name = "dzcpy" -}; - + { + .where = STARPU_CPU, + .cpu_funcs = {CORE_dzcpy_starpu}, + .nbuffers = 1, + .modes = {STARPU_W}, + .name = "dzcpy" + }; -static void CORE_szcpy_starpu(void *buffers[], void *cl_arg){ - int m; - float *A; - int m0; - float *r; +static void CORE_szcpy_starpu(void *buffers[], void *cl_arg) { + int m; + float *A; + int m0; + float *r; - A = (float *)STARPU_MATRIX_GET_PTR(buffers[0]); - starpu_codelet_unpack_args(cl_arg, &m, &m0, &r); + A = (float *) STARPU_MATRIX_GET_PTR(buffers[0]); + starpu_codelet_unpack_args(cl_arg, &m, &m0, &r); - core_szcpy(A, m, m0, r); + core_szcpy(A, m, m0, r); } static struct starpu_codelet cl_szcpy = -{ + { .where = STARPU_CPU, .cpu_funcs = {CORE_szcpy_starpu}, .nbuffers = 1, .modes = {STARPU_W}, .name = "szcpy" -}; - - + }; /***************************************************************************//** * - * @ingroup MORSE_Complex64_t_Tile (double precision). + * @ingroup CHAMELEON_Complex64_t_Tile (double precision). * - * MORSE_MLE_zcpy_Tile_Async - copy Morse descriptor to vector dobule *. + * CHAMELEON_MLE_zcpy_Tile_Async - copy Chameleon descriptor to vector dobule *. * Operates on matrices stored by tiles. * All matrices are passed through descriptors. * All dimensions are taken from the descriptors. @@ -77,7 +74,7 @@ static struct starpu_codelet cl_szcpy = ******************************************************************************* * * @param[out] descA - * Morse descriptor + * Chameleon descriptor * * @param[in] r * double* @@ -92,53 +89,50 @@ static struct starpu_codelet cl_szcpy = ******************************************************************************* * * @return - * \retval MORSE_SUCCESS successful exit + * \retval CHAMELEON_SUCCESS successful exit * ******************************************************************************* * * ******************************************************************************/ -int MORSE_MLE_dzcpy_Tile_Async (MORSE_desc_t *descA, double *r, MORSE_sequence_t *sequence, MORSE_request_t *request) { - MORSE_context_t *morse; - MORSE_option_t options; - morse = morse_context_self(); - if (sequence->status != MORSE_SUCCESS) - return -2; - RUNTIME_options_init(&options, morse, sequence, request); - - int m, m0; - int tempmm; - MORSE_desc_t A = *descA; - struct starpu_codelet *cl=&cl_dzcpy; - - for (m = 0; m < A.mt; m++) { - tempmm = m == A.mt-1 ? A.m - m * A.mb : A.mb; - m0 = m * A.mb; - - starpu_insert_task(starpu_mpi_codelet(cl), - STARPU_VALUE, &tempmm, sizeof(int), - STARPU_VALUE, &m0, sizeof(int), - STARPU_VALUE, &r, sizeof(double), - STARPU_W, EXAGEOSTAT_RTBLKADDR(descA, MorseRealDouble, m, 0), - #if defined(CHAMELEON_CODELETS_HAVE_NAME) - STARPU_NAME, "dzcpy", - #endif - 0); - - } - - RUNTIME_options_ws_free(&options); - //MORSE_TASK_dataflush_all(); - return MORSE_SUCCESS; +int EXAGEOSTAT_MLE_dzcpy_Tile_Async(CHAM_desc_t *descA, double* r, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request) { + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + chamctxt = chameleon_context_self(); + if (sequence->status != CHAMELEON_SUCCESS) + return -2; + RUNTIME_options_init(&options, chamctxt, sequence, request); + + int m, m0; + int tempmm; + CHAM_desc_t A = *descA; + struct starpu_codelet *cl = &cl_dzcpy; + + for (m = 0; m < A.mt; m++) { + tempmm = m == A.mt - 1 ? A.m - m * A.mb : A.mb; + m0 = m * A.mb; + + starpu_insert_task(starpu_mpi_codelet(cl), + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &m0, sizeof(int), + STARPU_VALUE, &r, sizeof(double), + STARPU_W, EXAGEOSTAT_RTBLKADDR(descA, ChamRealDouble, m, 0), +#if defined(CHAMELEON_CODELETS_HAVE_NAME) + STARPU_NAME, "dzcpy", +#endif + 0); + + } + RUNTIME_options_ws_free(&options); + return CHAMELEON_SUCCESS; } - - /***************************************************************************//** * - * @ingroup MORSE_Complex32_t_Tile (single precision). + * @ingroup CHAMELEON_Complex32_t_Tile (single precision). * - * MORSE_MLE_szcpy_Tile_Async - copy Morse descriptor to vector float*. + * EXAGEOSTAT_MLE_szcpy_Tile_Async - copy Chameleon descriptor to vector float*. * Operates on matrices stored by tiles. * All matrices are passed through descriptors. * All dimensions are taken from the descriptors. @@ -146,7 +140,7 @@ int MORSE_MLE_dzcpy_Tile_Async (MORSE_desc_t *descA, double *r, MORSE_sequence_t ******************************************************************************* * * @param[out] descA - * Morse descriptor + * Chameleon descriptor * * @param[in] r * double* @@ -161,42 +155,41 @@ int MORSE_MLE_dzcpy_Tile_Async (MORSE_desc_t *descA, double *r, MORSE_sequence_t ******************************************************************************* * * @return - * \retval MORSE_SUCCESS successful exit + * \retval CHAMELEON_SUCCESS successful exit * ******************************************************************************* * * ******************************************************************************/ -int MORSE_MLE_szcpy_Tile_Async(MORSE_desc_t *descA, float *r, MORSE_sequence_t *sequence, MORSE_request_t *request) { - MORSE_context_t *morse; - MORSE_option_t options; - morse = morse_context_self(); - if (sequence->status != MORSE_SUCCESS) - return -2; - RUNTIME_options_init(&options, morse, sequence, request); - - int m, m0; - int tempmm; - MORSE_desc_t A = *descA; - struct starpu_codelet *cl=&cl_szcpy; - - for (m = 0; m < A.mt; m++) { - tempmm = m == A.mt-1 ? A.m - m * A.mb : A.mb; - m0 = m * A.mb; - - starpu_insert_task(starpu_mpi_codelet(cl), - STARPU_VALUE, &tempmm, sizeof(int), - STARPU_VALUE, &m0, sizeof(int), - STARPU_VALUE, &r, sizeof(double), - STARPU_W, EXAGEOSTAT_RTBLKADDR(descA, MorseRealFloat, m, 0), - #if defined(CHAMELEON_CODELETS_HAVE_NAME) - STARPU_NAME, "szcpy", - #endif - 0); - - } - - RUNTIME_options_ws_free(&options); - //MORSE_TASK_dataflush_all(); - return MORSE_SUCCESS; -} +int EXAGEOSTAT_MLE_szcpy_Tile_Async(CHAM_desc_t *descA, double* r, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request) { + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + chamctxt = chameleon_context_self(); + if (sequence->status != CHAMELEON_SUCCESS) + return -2; + RUNTIME_options_init(&options, chamctxt, sequence, request); + + int m, m0; + int tempmm; + CHAM_desc_t A = *descA; + struct starpu_codelet *cl = &cl_szcpy; + + for (m = 0; m < A.mt; m++) { + tempmm = m == A.mt - 1 ? A.m - m * A.mb : A.mb; + m0 = m * A.mb; + + starpu_insert_task(starpu_mpi_codelet(cl), + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &m0, sizeof(int), + STARPU_VALUE, &r, sizeof(double), + STARPU_W, EXAGEOSTAT_RTBLKADDR(descA, ChamRealFloat, m, 0), +#if defined(CHAMELEON_CODELETS_HAVE_NAME) + STARPU_NAME, "szcpy", +#endif + 0); + + } + RUNTIME_options_ws_free(&options); + return CHAMELEON_SUCCESS; +} \ No newline at end of file diff --git a/exageostat_exact/runtime/starpu/control/exact_runtime_descriptor.c b/exageostat_exact/runtime/starpu/control/exact_runtime_descriptor.c index 662968c..a6e931a 100644 --- a/exageostat_exact/runtime/starpu/control/exact_runtime_descriptor.c +++ b/exageostat_exact/runtime/starpu/control/exact_runtime_descriptor.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,7 +11,7 @@ * * StarPU codelets functions header file. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah * @date 2019-02-13 @@ -20,38 +20,38 @@ #include #include #include "../include/starpu_exageostat.h" -static int tag_sep = 26; -void *EXAGEOSTAT_data_getaddr( const MORSE_desc_t *A, int type, int m, int n ) -{ + +static int tag_sep = 26; + +void *EXAGEOSTAT_data_getaddr(const CHAM_desc_t *A, int type, int m, int n) { int64_t mm = m + (A->i / A->mb); int64_t nn = n + (A->j / A->nb); starpu_data_handle_t *ptrtile = A->schedopt; - ptrtile += ((int64_t)A->lmt) * nn + mm; + ptrtile += ((int64_t) A->lmt) * nn + mm; if (*ptrtile == NULL) { int home_node = -1; void *user_ptr = NULL; int myrank = A->myrank; - int owner = A->get_rankof( A, m, n ); - int64_t eltsze = MORSE_Element_Size(type); - int tempmm = (mm == A->lmt-1) ? (A->lm - mm * A->mb) : A->mb; - int tempnn = (nn == A->lnt-1) ? (A->ln - nn * A->nb) : A->nb; + int owner = A->get_rankof(A, m, n); + int64_t eltsze = CHAMELEON_Element_Size(type); + int tempmm = (mm == A->lmt - 1) ? (A->lm - mm * A->mb) : A->mb; + int tempnn = (nn == A->lnt - 1) ? (A->ln - nn * A->nb) : A->nb; - - if ( myrank == owner ) { + if (myrank == owner) { user_ptr = A->get_blkaddr(A, m, n); - if ( user_ptr != NULL ) { + if (user_ptr != NULL) { home_node = STARPU_MAIN_RAM; } } - starpu_matrix_data_register( ptrtile, home_node, (uintptr_t) user_ptr, - BLKLDD(A, m), - tempmm, tempnn, eltsze ); + starpu_matrix_data_register(ptrtile, home_node, (uintptr_t) user_ptr, + BLKLDD(A, m), + tempmm, tempnn, eltsze); #ifdef HAVE_STARPU_DATA_SET_COORDINATES - starpu_data_set_coordinates( *ptrtile, 2, m, n ); + starpu_data_set_coordinates(*ptrtile, 2, m, n); #endif #if defined(CHAMELEON_USE_MPI) @@ -59,8 +59,7 @@ void *EXAGEOSTAT_data_getaddr( const MORSE_desc_t *A, int type, int m, int n ) int64_t block_ind = A->lmt * nn + mm; starpu_mpi_data_register(*ptrtile, (A->id << tag_sep) | (block_ind), owner); } -#endif /* defined(MORSE_USE_MPI) */ +#endif /* defined(CHAMELEON_USE_MPI) */ } - return *ptrtile; } diff --git a/exageostat_exact/runtime/starpu/include/starpu_exageostat.h b/exageostat_exact/runtime/starpu/include/starpu_exageostat.h index a605067..e8983b3 100644 --- a/exageostat_exact/runtime/starpu/include/starpu_exageostat.h +++ b/exageostat_exact/runtime/starpu/include/starpu_exageostat.h @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,145 +11,158 @@ * * StarPU codelets functions header file. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2020-01-19 + * @date 2020-03-04 * **/ #ifndef _EXAGEOSTATCODELETS_H_ #define _EXAGEOSTATCODELETS_H_ -#include "../../../core/include/exageostatcore.h" + +#include "../../../cpu_core/include/exageostatcore.h" + #if defined(EXAGEOSTAT_USE_CUDA) -#include "../../../../cudacore/include/exageostatcudacore.h" #endif -#include "morse.h" -#include "../../../../include/morse_starpu.h" -#include "../../../../include/context.h" -//#include "../../../../include/coreblas_ds.h" +#include "chameleon.h" +#include "../../../../include/chameleon_starpu.h" +#include "../../../../include/context.h" -//#include "chameleon_starpu.h" #if defined(CHAMELEON_USE_MPI) -#undef STARPU_REDUX -#define CUBLAS_STREAM_PARAM cublasHandle_t handle -#define starpu_insert_task starpu_mpi_insert_task - -#define starpu_mpi_codelet(_codelet_) MPI_COMM_WORLD, _codelet_ #else #define starpu_mpi_codelet(_codelet_) _codelet_ #endif -#define EXAGEOSTAT_RTBLKADDR( desc, type, m, n ) ( (starpu_data_handle_t)EXAGEOSTAT_data_getaddr( desc, type, m, n ) ) +#define EXAGEOSTAT_RTBLKADDR(desc, type, m, n) ( (starpu_data_handle_t)RUNTIME_data_getaddr( desc, m, n ) ) +#ifdef EXAGEOSTAT_USE_HICMA + +#include + +#define EXAGEOSTAT_HICMA_RTBLKADDR(desc, type, m, n) ( (starpu_data_handle_t)HICMA_RUNTIME_data_getaddr( desc, m, n ) ) +#endif + +#define BLKLDD(A, k) A->get_blkldd( A,k ) #define mBLKLDD(A, k) A->get_blkldd( A,k ) -void *EXAGEOSTAT_data_getaddr( const MORSE_desc_t *A, int type, int m, int n ); +void *EXAGEOSTAT_data_getaddr(const CHAM_desc_t *A, int type, int m, int n); + +int EXAGEOSTAT_MLE_dcmg_Tile_Async(CHAM_enum uplo, CHAM_desc_t *descA, location *l1, + location *l2, location *lm, double* theta, + char* dm, char* kernel_fun, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +int EXAGEOSTAT_MLE_scmg_Tile_Async(CHAM_enum uplo, CHAM_desc_t *descA, location *l1, + location *l2, location *lm, double* theta, + char* dm, char* kernel_fun, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +int EXAGEOSTAT_MLE_sdcmg_Tile_Async(CHAM_enum uplo, CHAM_desc_t *descA, location *l1, + location *l2, location *lm, double* theta, + char* dm, char* kernel_fun, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + + +int EXAGEOSTAT_MLE_dzcpy_Tile_Async(CHAM_desc_t *descA, double* r, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); -int MORSE_MLE_dcmg_Tile_Async(MORSE_enum uplo, MORSE_desc_t *descA, location *l1, - location *l2, location *lm, double *theta, - char *dm, char *kernel_fun, - MORSE_sequence_t *sequence, MORSE_request_t *request); +int EXAGEOSTAT_MLE_szcpy_Tile_Async(CHAM_desc_t *descA, double* r, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); -int MORSE_MLE_scmg_Tile_Async(MORSE_enum uplo, MORSE_desc_t *descA, location *l1, - location *l2, location *lm, double *theta, - char *dm, char *kernel_fun, - MORSE_sequence_t *sequence, MORSE_request_t *request); +int EXAGEOSTAT_MLE_dmdet_Tile_Async(CHAM_desc_t *descA, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request, + CHAM_desc_t *descdet); -int MORSE_MLE_sdcmg_Tile_Async(MORSE_enum uplo, MORSE_desc_t *descA, location *l1, - location *l2, location *lm, double *theta, - char *dm, char *kernel_fun, - MORSE_sequence_t *sequence, MORSE_request_t *request); +int EXAGEOSTAT_MLE_smdet_Tile_Async(CHAM_desc_t *descA, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request, + CHAM_desc_t *descdet); +int EXAGEOSTAT_MLE_ddotp_Async(CHAM_enum transA, CHAM_enum transB, + CHAM_desc_t *descA, CHAM_desc_t *descB, + CHAM_desc_t *descC, CHAM_enum index, CHAM_enum increment, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); -int MORSE_MLE_dzcpy_Tile_Async(MORSE_desc_t *descA, double *r, - MORSE_sequence_t *sequence, MORSE_request_t *request); +int EXAGEOSTAT_MLE_dmse_Tile_Async(CHAM_desc_t *descZpre, CHAM_desc_t *descZmiss, + CHAM_desc_t *descserror, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); -int MORSE_MLE_szcpy_Tile_Async(MORSE_desc_t *descA, float *r, - MORSE_sequence_t *sequence, MORSE_request_t *request); +int EXAGEOSTAT_MLE_smse_Tile_Async(CHAM_desc_t *descZpre, CHAM_desc_t *descZmiss, + CHAM_desc_t *descserror, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); -int MORSE_MLE_dmdet_Tile_Async(MORSE_desc_t *descA, - MORSE_sequence_t *sequence, MORSE_request_t *request, - MORSE_desc_t *descdet); +int EXAGEOSTAT_MLE_dgemv_Tile_Async(CHAM_desc_t *descA, CHAM_desc_t *descZ, + CHAM_desc_t *descZout, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); -int MORSE_MLE_smdet_Tile_Async(MORSE_desc_t *descA, - MORSE_sequence_t *sequence, MORSE_request_t *request, - MORSE_desc_t *descdet); +int EXAGEOSTAT_MLE_sgemv_Tile_Async(CHAM_desc_t *descA, CHAM_desc_t *descZ, + CHAM_desc_t *descZout, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); -int MORSE_MLE_ddotp_Async(MORSE_enum transA, MORSE_enum transB, - MORSE_desc_t *descA, MORSE_desc_t *descB, - MORSE_desc_t *descC, MORSE_enum indexC, - MORSE_sequence_t *sequence, MORSE_request_t *request); +void EXAGEOSTAT_TASK_sdconv(const RUNTIME_option_t *options, + int m, int n, int nb, + const CHAM_desc_t *A, int Am, int An, int lda, + const CHAM_desc_t *B, int Bm, int Bn, int ldb); -int MORSE_MLE_dmse_Tile_Async(MORSE_desc_t *descZpre, MORSE_desc_t *descZmiss, - MORSE_desc_t *descserror, - MORSE_sequence_t *sequence, MORSE_request_t *request); +void EXAGEOSTAT_TASK_dsconv(const RUNTIME_option_t *options, + int m, int n, int nb, + const CHAM_desc_t *A, int Am, int An, int lda, + const CHAM_desc_t *B, int Bm, int Bn, int ldb); -int MORSE_MLE_smse_Tile_Async(MORSE_desc_t *descZpre, MORSE_desc_t *descZmiss, - MORSE_desc_t *descserror, - MORSE_sequence_t *sequence, MORSE_request_t *request); +void EXAGEOSTAT_MLE_sdmat_reg_Tile_Async(CHAM_enum uplo, CHAM_desc_t *descA, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); -int MORSE_MLE_dgemv_Tile_Async(MORSE_desc_t *descA, MORSE_desc_t *descZ, - MORSE_desc_t *descZout, - MORSE_sequence_t *sequence, MORSE_request_t *request); +int EXAGEOSTAT_MLE_dmse_bivariate_Tile_Async(CHAM_desc_t *descZpre, CHAM_desc_t *descZmiss, + CHAM_desc_t *descserror1, CHAM_desc_t *descserror2, CHAM_desc_t *descserror, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); -int MORSE_MLE_sgemv_Tile_Async(MORSE_desc_t *descA, MORSE_desc_t *descZ, - MORSE_desc_t *descZout, - MORSE_sequence_t *sequence, MORSE_request_t *request); +void EXAGEOSTAT_TASK_sexageostat_gemm(const RUNTIME_option_t *options, + CHAM_enum transA, int transB, + int m, int n, int k, int nb, + float alpha, const CHAM_desc_t *A, int Am, int An, int lda, + const CHAM_desc_t *B, int Bm, int Bn, int ldb, + float beta, const CHAM_desc_t *C, int Cm, int Cn, int ldc); -void MORSE_TASK_sdconv(const MORSE_option_t *options, - int m, int n, int nb, - const MORSE_desc_t *A, int Am, int An, int lda, - const MORSE_desc_t *B, int Bm, int Bn, int ldb); +void EXAGEOSTAT_TASK_sexageostat_trsm(const RUNTIME_option_t *options, + CHAM_enum side, CHAM_enum uplo, CHAM_enum transA, CHAM_enum diag, + int m, int n, int nb, + float alpha, const CHAM_desc_t *A, int Am, int An, int lda, + const CHAM_desc_t *B, int Bm, int Bn, int ldb); -void MORSE_TASK_dsconv(const MORSE_option_t *options, - int m, int n, int nb, - const MORSE_desc_t *A, int Am, int An, int lda, - const MORSE_desc_t *B, int Bm, int Bn, int ldb); +void EXAGEOSTAT_MLE_sdmat_register_Tile_Async(CHAM_enum uplo, CHAM_desc_t *descA, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); +int EXAGEOSTAT_g_to_ng_Tile_Async(CHAM_desc_t *descZ, double* theta, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); -/*void MORSE_TASK_slag2d(MORSE_option_t *options, - int m, int n, int nb, - MORSE_desc_t *A, int Am, int An, int lda, - MORSE_desc_t *B, int Bm, int Bn, int ldb); - void MORSE_TASK_dlag2s(MORSE_option_t *options, - int m, int n, int nb, - MORSE_desc_t *A, int Am, int An, int lda, - MORSE_desc_t *B, int Bm, int Bn, int ldb); - */ +int EXAGEOSTAT_ng_loglike_Tile_Async(CHAM_desc_t *descZ, CHAM_desc_t *descsum, double* theta, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); -/*int MORSE_MLE_dprint_Tile_Async(MORSE_desc_t *descA, - MORSE_sequence_t *sequence, MORSE_request_t *request); +int EXAGEOSTAT_ng_transform_Tile_Async(CHAM_desc_t *descZ, CHAM_desc_t *descflag, const double* theta, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); - int MORSE_MLE_sprint_Tile_Async(MORSE_desc_t *descA, - MORSE_sequence_t *sequence, MORSE_request_t *request); +int EXAGEOSTAT_ng_corr_vec_gen_Tile_Async(CHAM_desc_t *descr, location *l, location *lobs, + double* theta, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); - int MORSE_MLE_sdprint_Tile_Async(MORSE_desc_t *descA, - MORSE_sequence_t *sequence, MORSE_request_t *request, - int diag_thick); - */ +int EXAGEOSTAT_MLE_dtrace_Tile_Async(CHAM_desc_t *descA, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request, CHAM_desc_t *descsum, CHAM_desc_t *desctrace); -int MORSE_MLE_dmse_bivariate_Tile_Async(MORSE_desc_t *descZpre, MORSE_desc_t *descZmiss, - MORSE_desc_t *descserror1, MORSE_desc_t *descserror2, MORSE_desc_t *descserror, - MORSE_sequence_t *sequence, MORSE_request_t *request); +int EXAGEOSTAT_stride_vec_Tile_Async(CHAM_desc_t *descA, CHAM_desc_t *descB, CHAM_desc_t *descC, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); -void MORSE_TASK_sexageostat_gemm(const MORSE_option_t *options, - MORSE_enum transA, int transB, - int m, int n, int k, int nb, - float alpha, const MORSE_desc_t *A, int Am, int An, int lda, - const MORSE_desc_t *B, int Bm, int Bn, int ldb, - float beta, const MORSE_desc_t *C, int Cm, int Cn, int ldc); - -void MORSE_TASK_sexageostat_trsm(const MORSE_option_t *options, - MORSE_enum side, MORSE_enum uplo, MORSE_enum transA, MORSE_enum diag, - int m, int n, int nb, - float alpha, const MORSE_desc_t *A, int Am, int An, int lda, - const MORSE_desc_t *B, int Bm, int Bn, int ldb); +int EXAGEOSTAT_tristride_vec_Tile_Async(CHAM_desc_t *descA, CHAM_desc_t *descB, CHAM_desc_t *descC, CHAM_desc_t *descD, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); +int EXAGEOSTAT_MLE_dmloe_mmom_Tile_Async(CHAM_desc_t *descexpr2, RUNTIME_sequence_t *descexpr3, + RUNTIME_sequence_t *descexpr4, RUNTIME_sequence_t *descmloe, + RUNTIME_sequence_t *descmmom, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); -void MORSE_MLE_sdmat_register_Tile_Async(MORSE_enum uplo, MORSE_desc_t *descA, - MORSE_sequence_t *sequence, MORSE_request_t *request); +int EXAGEOSTAT_MLE_dmse_trivariate_Tile_Async(CHAM_desc_t *descZpre, CHAM_desc_t *descZmiss, CHAM_desc_t *descserror1, + CHAM_desc_t *descserror2, CHAM_desc_t *descserror3, + CHAM_desc_t *descserror, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); #endif /* _EXAGEOSTATCODELETS_H_ */ diff --git a/exageostat_exact/src/compute/MLE_dexact.c b/exageostat_exact/src/compute/MLE_dexact.c new file mode 100644 index 0000000..f98a4d9 --- /dev/null +++ b/exageostat_exact/src/compute/MLE_dexact.c @@ -0,0 +1,2002 @@ +/** + * + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology + * All rights reserved. + * + * ExaGeoStat is a software package provided by KAUST + **/ +/** + * + * @file MLE_exact.c + * + * ExaGeoStat exact computation main functions (i.e., generate synthetic dataset, evaluate ML function, and predication). + * + * @version 1.2.0 + * + * @author Sameh Abdulah + * @date 2020-06-23 + * + **/ +#include "../include/MLE_exact.h" + +//*************************************************************************************** +output results; + +void EXAGEOSTAT_MLE_dzvg_Tile(MLE_data *data, double*Nrand, double*initial_theta, int n, int dts, int log) +//! Generate Observations Vector (Z) for testing Maximum +/*! Likelihood function -- CHAMELEON-sync + * Returns Z observation vector + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] Nrand: A uniform random vector with size n that is used to generate Z . + * @param[in] initial_theta: Theta vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] n: Problem size (number spatial locations). + * @param[in] dts: tile size (MB) is used only in the case of HiCMA not CHAMELEON. + * @param[in] log: equals one if the user needs to generate log files for his problem. + * */ +{ + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + double*univariate_theta; + double*univariate2_theta; + double*univariate3_theta; + double nu12; + double rho; + double sigma_square12; + + //Generate the co-variance matrix C + VERBOSE("Initializing Covariance Matrix (Synthetic Dataset Generation Phase)....."); + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { + + univariate_theta = (double*) malloc(3 * sizeof(double)); + univariate2_theta = (double*) malloc(3 * sizeof(double)); + univariate3_theta = (double*) malloc(3 * sizeof(double)); + univariate_theta[0] = initial_theta[0]; + univariate_theta[1] = initial_theta[2]; + univariate_theta[2] = initial_theta[3]; + + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, data->descsubC11, &data->l1, + &data->l1, &data->lm, univariate_theta, + data->dm, "univariate_matern_stationary", msequence, &mrequest[0]); + + + nu12 = 0.5 * (initial_theta[3] + initial_theta[4]); + rho = initial_theta[5] * sqrt((tgamma(initial_theta[3] + 1) * tgamma(initial_theta[4] + 1)) / + (tgamma(initial_theta[3]) * tgamma(initial_theta[4]))) * + tgamma(nu12) / tgamma(nu12 + 1); + sigma_square12 = rho * sqrt(initial_theta[0] * initial_theta[1]); + + univariate2_theta[0] = sigma_square12; + univariate2_theta[1] = initial_theta[2]; + univariate2_theta[2] = nu12; + + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, data->descsubC12, &data->l1, + &data->l1, &data->lm, univariate2_theta, + data->dm, "univariate_matern_stationary", msequence, &mrequest[0]); + + univariate3_theta[0] = initial_theta[1]; + univariate3_theta[1] = initial_theta[2]; + univariate3_theta[2] = initial_theta[4]; + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, data->descsubC22, &data->l1, &data->l1, + &data->lm, univariate3_theta, data->dm, + "univariate_matern_stationary", msequence, &mrequest[0]); + } else if (strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) { + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, data->descC, &data->l1, + &data->l1, &data->lm, initial_theta, + data->dm, "univariate_matern_stationary", msequence, mrequest); + } else { + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, data->descC, &data->l1, + &data->l1, &data->lm, initial_theta, + data->dm, data->kernel_fun, msequence, mrequest); + } + + CHAMELEON_Sequence_Wait(msequence); + VERBOSE(" Done.\n"); + + //Copy Nrand to Z + VERBOSE("Generate Normal Random Distribution Vector Z (Synthetic Dataset Generation Phase) ....."); + EXAGEOSTAT_MLE_dzcpy_Tile_Async(data->descZ, Nrand, msequence, mrequest); + VERBOSE(" Done.\n"); + + //Cholesky factorization for the Co-variance matrix C + VERBOSE("Cholesky factorization of Sigma (Synthetic Dataset Generation Phase) ....."); + int success = CHAMELEON_dpotrf_Tile(ChamLower, data->descC); + //printf(" success=%d \n", success); + //exit(0); + SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); + VERBOSE(" Done.\n"); + + //Triangular matrix-matrix multiplication + VERBOSE("Triangular matrix-matrix multiplication Z=L.e (Synthetic Dataset Generation Phase) ....."); + CHAMELEON_dtrmm_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, data->descC, data->descZ); + VERBOSE(" Done.\n"); + + //if log==1 write vector to disk + if (log == 1) { + double*z; + CHAM_desc_t *CHAM_descZ = (CHAM_desc_t *) (data->descZ); + VERBOSE("Writing generated data to the disk (Synthetic Dataset Generation Phase) ....."); +#if defined(CHAMELEON_USE_MPI) + z = (double*) malloc(n * sizeof(double)); + CHAMELEON_Tile_to_Lapack( CHAM_descZ, z, n); + if ( CHAMELEON_My_Mpi_Rank() == 0 ) + write_vectors(z, data, n); + free(z); +#else + z = CHAM_descZ->mat; + write_vectors(z, data, n); + //free(z); +#endif + VERBOSE(" Done.\n"); + } + + CHAMELEON_dlaset_Tile(ChamUpperLower, 0, 0, data->descC); + VERBOSE("Done Z Vector Generation Phase. (Chameleon Synchronous)\n"); + VERBOSE("************************************************************\n"); +} + + +void EXAGEOSTAT_MLE_dzcpy(MLE_data *data, double*streamdata) +//! Copy measurements vector from Lapack +/*! format to Chameleon format. + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] streamdata: measurments vector in lapack format. + * */ +{ + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + VERBOSE("Copy Z from vector to decriptor.\n"); + EXAGEOSTAT_MLE_dzcpy_Tile_Async(data->descZ, streamdata, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); + VERBOSE("Done Z copying step.\n"); + VERBOSE("************************************************************\n"); +} + +void EXAGEOSTAT_MLE_dzvg_Tile_Async(MLE_data *data, double*Nrand, double*initial_theta, int n, int dts, int log) +//! Generate Observations Vector (Z) for testing Maximum +/*! Likelihood function -- CHAMELEON-Async + * Returns Z observation vector + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] Nrand: A uniform random vector with size n that is used to generate Z . + * @param[in] initial_theta: Theta vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] n: Problem size (number spatial locations). + * @param[in] dts: tile size (MB) is used only in the case of HiCMA not CHAMELEON. + * @param[in] log: equals one if the user needs to generate log files for his problem. + * */ +{ + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + + //Generate the co-variance matrix C + VERBOSE("Initializing Covariance Matrix (Synthetic Dataset Generation Phase)....."); + //EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, data->descC, msequence, mrequest, &data->l1, &data->l1, initial_theta, data->dm); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, data->descC, &data->l1, + &data->l1, &data->lm, initial_theta, + data->dm, data->kernel_fun, msequence, mrequest); + VERBOSE(" Done.\n"); + + //Copy Nrand to Z + VERBOSE("Generate Normal Random Distribution Vector Z (Synthetic Dataset Generation Phase) ....."); + EXAGEOSTAT_MLE_dzcpy_Tile_Async(data->descZ, Nrand, msequence, mrequest); + VERBOSE(" Done.\n"); + + //Cholesky factorization for the Co-variance matrix C + VERBOSE("Cholesky factorization of Sigma (Synthetic Dataset Generation Phase) ....."); + int success = CHAMELEON_dpotrf_Tile_Async(ChamLower, data->descC, msequence, mrequest); + SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); + VERBOSE(" Done.\n"); + + //Triangular matrix-matrix multiplication + VERBOSE("Triangular matrix-matrix multiplication Z=L.e (Synthetic Dataset Generation Phase) ....."); + CHAMELEON_dtrmm_Tile_Async(ChamLeft, ChamLower, ChamNoTrans, + ChamNonUnit, 1, data->descC, + data->descZ, msequence, mrequest); + VERBOSE(" Done.\n"); + + //if log == 1 write vector to disk + if (log == 1) { + double*z; + CHAM_desc_t *CHAM_descZ = (CHAM_desc_t *) (data->descZ); +#if defined(CHAMELEON_USE_MPI) + z = (double*) malloc(n * sizeof(double)); + CHAMELEON_Tile_to_Lapack( CHAM_descZ, z, n); +#else + z = CHAM_descZ->mat; +#endif + write_vectors(z, data, n); + +#if defined(CHAMELEON_USE_MPI) + free(z); +#endif + } + + VERBOSE("Done Z Vector Generation Phase. (Chameleon Asynchronous)\n"); + VERBOSE("************************************************************\n"); +} + + +double EXAGEOSTAT_dmle_Tile(unsigned n, const double*theta, double*grad, void *CHAM_data) { + //! Maximum Likelihood Evaluation (MLE) + /*! -- CHAMELEON-sync + * Returns the loglikelihhod value for the given theta. + * @param[in] n: unsigned variable used by NLOPT library. + * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] grad: double variable used by NLOPT library. + * @param[in] CHAMELEON_data: MLE_data struct with different MLE inputs. + * */ + //Initialization + double loglik = 0.0, logdet = 0.0, time_facto = 0.0, time_solve = 0.0, logdet_calculate = 0.0, matrix_gen_time = 0.0, dzcpy_time = 0.0; + + int N, NRHS, success, i, num_params; + double flops = 0.0; + double*univariate_theta; + double*univariate2_theta; + double*univariate3_theta; + double nu12; + double rho; + double sigma_square12; + + MLE_data *data = ((MLE_data *) CHAM_data); + data->det = 0; + data->dotp = 0; + + CHAM_desc_t *CHAM_descC = (CHAM_desc_t *) data->descC; + CHAM_desc_t *CHAM_descsubC11 = (CHAM_desc_t *) data->descsubC11; + CHAM_desc_t *CHAM_descsubC12 = (CHAM_desc_t *) data->descsubC12; + CHAM_desc_t *CHAM_descsubC22 = (CHAM_desc_t *) data->descsubC22; + CHAM_desc_t *CHAM_descZ = (CHAM_desc_t *) data->descZ; + CHAM_desc_t *CHAM_descZ1 = (CHAM_desc_t *) data->descZ1; + CHAM_desc_t *CHAM_descZ2 = (CHAM_desc_t *) data->descZ2; + CHAM_desc_t *CHAM_descZcpy = (CHAM_desc_t *) data->descZcpy; + CHAM_desc_t *CHAM_descdet = (CHAM_desc_t *) data->descdet; + CHAM_desc_t *CHAM_descproduct = (CHAM_desc_t *) data->descproduct; + CHAM_desc_t *CHAM_descproduct1 = (CHAM_desc_t *) data->descproduct1; + CHAM_desc_t *CHAM_descproduct2 = (CHAM_desc_t *) data->descproduct2; + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + + if (strcmp(data->kernel_fun, "univariate_matern_stationary") == 0 || + strcmp(data->kernel_fun, "univariate_pow_exp_stationary") == 0) + num_params = 3; + else if (strcmp(data->kernel_fun, "univariate_matern_nuggets_stationary") == 0) + num_params = 4; + else if (strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) + num_params = 9; + else if (strcmp(data->kernel_fun, "bivariate_matern_flexible") == 0) + num_params = 11; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0) + num_params = 6; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0) + num_params = 6; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) + num_params = 6; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) + num_params = 6; + else if (strcmp(data->kernel_fun, "univariate_spacetime_matern_stationary") == 0) + num_params = 7; + else if (strcmp(data->kernel_fun, "trivariate_matern_parsimonious") == 0 || + strcmp(data->kernel_fun, "trivariate_matern_parsimonious_profile") == 0) + num_params = 10; + else { + fprintf(stderr, "Choosen kernel is not exist(2)!\n"); + fprintf(stderr, "Called function is: %s\n", __func__); + exit(0); + } + N = CHAM_descC->m; + NRHS = CHAM_descZ->n; + + START_TIMING(dzcpy_time); + if (data->iter_count == 0) + //Save a copy of descZ into descZcpy for restoring each iteration (Only for the first iteration) + CHAMELEON_dlacpy_Tile(ChamUpperLower, CHAM_descZ, CHAM_descZcpy); + if (strcmp(data->recovery_file, "") != 0 && + recover(data->recovery_file, data->iter_count, theta, &loglik, num_params)); + else { + START_TIMING(dzcpy_time); + if (data->iter_count == 0) + //Save a copy of descZ into descZcpy for restoring each iteration (Only for the first iteration) + CHAMELEON_dlacpy_Tile(ChamUpperLower, CHAM_descZ, CHAM_descZcpy); + else { + VERBOSE("Re-store the original Z vector..."); + CHAMELEON_dlacpy_Tile(ChamUpperLower, CHAM_descZcpy, CHAM_descZ); + VERBOSE(" Done.\n"); + } + STOP_TIMING(dzcpy_time); + + //Generate new co-variance matrix C based on new theta + VERBOSE("Generate New Covariance Matrix..."); + START_TIMING(matrix_gen_time); + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { + + univariate_theta = (double*) malloc(3 * sizeof(double)); + univariate2_theta = (double*) malloc(3 * sizeof(double)); + univariate3_theta = (double*) malloc(3 * sizeof(double)); + univariate_theta[0] = theta[0]; + univariate_theta[1] = theta[2]; + univariate_theta[2] = theta[3]; + + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, CHAM_descsubC11, &data->l1, + &data->l1, &data->lm, univariate_theta, data->dm, + "univariate_matern_stationary", msequence, &mrequest[0]); + + + nu12 = 0.5 * (theta[3] + theta[4]); + + rho = theta[5] * sqrt((tgamma(theta[3] + 1) * tgamma(theta[4] + 1)) / + (tgamma(theta[3]) * tgamma(theta[4]))) * + tgamma(nu12) / tgamma(nu12 + 1); + sigma_square12 = rho * sqrt(theta[0] * theta[1]); + + univariate2_theta[0] = sigma_square12; + univariate2_theta[1] = theta[2]; + univariate2_theta[2] = nu12; + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, CHAM_descsubC12, &data->l1, + &data->l1, &data->lm, univariate2_theta, + data->dm, "univariate_matern_stationary", msequence, &mrequest[0]); + + STOP_TIMING(matrix_gen_time); + VERBOSE(" Done.\n"); + + univariate3_theta[0] = theta[1]; + univariate3_theta[1] = theta[2]; + univariate3_theta[2] = theta[4]; + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, CHAM_descsubC22, &data->l1, + &data->l1, &data->lm, univariate3_theta, + data->dm, "univariate_matern_stationary", msequence, &mrequest[0]); + } else + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAM_descC, &data->l1, + &data->l1, &data->lm, (double*) theta, data->dm, + data->kernel_fun, msequence, &mrequest[0]); + + CHAMELEON_Sequence_Wait(msequence); + STOP_TIMING(matrix_gen_time); + VERBOSE(" Done.\n"); + + VERBOSE("Cholesky factorization of Sigma..."); + START_TIMING(time_facto); + success = CHAMELEON_dpotrf_Tile(ChamLower, CHAM_descC); + STOP_TIMING(time_facto); + SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); + flops = flops + FLOPS_DPOTRF(N); + VERBOSE(" Done.\n"); + + //Calculate log(|C|) --> log(square(|L|)) + VERBOSE("Calculating the log determinant ..."); + START_TIMING(logdet_calculate); + EXAGEOSTAT_MLE_dmdet_Tile_Async(CHAM_descC, msequence, &mrequest[0], CHAM_descdet); + CHAMELEON_Sequence_Wait(msequence); + // printf("det: %f\n", data->det); + logdet = 2 * data->det; + STOP_TIMING(logdet_calculate); + VERBOSE(" Done.\n"); + + //Solving Linear System (L*X=Z)--->inv(L)*Z + VERBOSE("Solving the linear system ...\n"); + START_TIMING(time_solve); + CHAMELEON_dtrsm_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAM_descC, CHAM_descZ); + STOP_TIMING(time_solve); + flops = flops + FLOPS_DTRSM(ChamLeft, N, NRHS); + VERBOSE(" Done.\n"); + + //Calculate MLE likelihood + VERBOSE("Calculating the MLE likelihood function ..."); + + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAM_descZ, CHAM_descZ, 0, CHAM_descproduct); + + //*************************************** + + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { + + loglik = -(N / 2) + (N / 2) * log(N) - (N / 2) * log(data->dotp) - 0.5 * logdet - + (double) (N / 2.0) * log(2.0 * PI); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAM_descZ1, CHAM_descZ1, 0, CHAM_descproduct1); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAM_descZ2, CHAM_descZ2, 0, CHAM_descproduct2); + data->variance1 = (1.0 / (N / 2)) * data->dotp1; + data->variance2 = (1.0 / (N / 2)) * data->dotp2; + + } else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) { + + loglik = -(N / 2) + (N / 2) * log(N) - (N / 2) * log(data->dotp) - 0.5 * logdet - + (double) (N / 2.0) * log(2.0 * PI); + + //to be optimized + EXAGEOSTAT_stride_vec_Tile_Async(CHAM_descZ, CHAM_descZ1, CHAM_descZ2, msequence, &mrequest[0]); + //********************************* + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAM_descZ1, CHAM_descZ1, 0, CHAM_descproduct1); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAM_descZ2, CHAM_descZ2, 0, CHAM_descproduct2); + data->variance1 = (1.0 / (N / 2)) * data->dotp1; + data->variance2 = (1.0 / (N / 2)) * data->dotp2; + } else { + + loglik = -0.5 * data->dotp - 0.5 * logdet - (double) (N / 2.0) * log(2.0 * PI); + data->variance = theta[0]; + } + VERBOSE(" Done.\n"); + + } + + //Distribute the values in the case of MPI +#if defined(CHAMELEON_USE_MPI) + MPI_Bcast(&loglik, 1, MPI_DOUBLE, 0, MPI_COMM_WORLD ); + //MPI_Bcast(theta, num_params, MPI_DOUBLE, 0, MPI_COMM_WORLD ); + if(CHAMELEON_My_Mpi_Rank() == 0) + { +#endif + + fprintf(stderr, " %3d- Model Parameters (", data->iter_count + 1); + + if (data->log == 1) + fprintf(data->pFileLog, " %3d- Model Parameters (", data->iter_count + 1); + + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { + fprintf(stderr, "%.8f, %.8f,", data->variance1, data->variance2); + if (data->log == 1) + fprintf(data->pFileLog, "%.8f, %.8f,", data->variance1, data->variance2); + i = 2; + } else + i = 0; + for (; i < num_params; i++) { + fprintf(stderr, "%.8f", theta[i]); + if (i < num_params - 1) + fprintf(stderr, ","); + + if (data->log == 1) + fprintf(data->pFileLog, "%.8f, ", theta[i]); + } + + fprintf(stderr, ")----> LogLi: %.18f\n", loglik); + if (data->log == 1) + fprintf(data->pFileLog, ")----> LogLi: %.18f\n", loglik); + + + fprintf(stderr, " ---- Facto Time: %6.2f\n", time_facto); + fprintf(stderr, " ---- Matrix Generation Time: %6.2f\n", matrix_gen_time); + fprintf(stderr, " ---- Total Time: %6.2f\n", matrix_gen_time + time_facto + logdet_calculate + time_solve); + +#if defined(CHAMELEON_USE_MPI) + } +#endif + + data->iter_count++; + // for experiments + data->avg_exec_time_per_iter +=/*matrix_gen_time*/+time_facto + logdet_calculate + time_solve; + data->avg_flops_per_iter += flops / 1e9 / (time_facto + time_solve); + data->final_loglik = loglik; + + //output + results.final_loglik = loglik; + return loglik; +} + +double EXAGEOSTAT_dmle_Tile_Async(unsigned n, const double*theta, double*grad, void *CHAM_data) { + //! Maximum Likelihood Evaluation (MLE) + /*! -- CHAMELEON-Async + * Returns the loglikelihhod value for the given theta. + * @param[in] n: unsigned variable used by NLOPT library. + * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] grad: double variable used by NLOPT library. + * @param[in] CHAMELEON_data: MLE_data struct with different MLE inputs. + * */ + //Initialization + double loglik = 0.0, logdet = 0.0, time_facto = 0.0, time_solve = 0.0, logdet_calculate = 0.0, matrix_gen_time = 0.0, dzcpy_time = 0.0, flops = 0.0; + int N, NRHS, success; + + MLE_data *data = ((MLE_data *) CHAM_data); + data->det = 0; + data->dotp = 0; + + CHAM_desc_t *CHAM_descC = (CHAM_desc_t *) data->descC; + CHAM_desc_t *CHAM_descZ = (CHAM_desc_t *) data->descZ; + CHAM_desc_t *CHAM_descZcpy = (CHAM_desc_t *) data->descZcpy; + CHAM_desc_t *CHAM_descdet = (CHAM_desc_t *) data->descdet; + CHAM_desc_t *CHAM_descproduct = (CHAM_desc_t *) data->descproduct; + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + + N = CHAM_descC->m; + NRHS = CHAM_descZ->n; + START_TIMING(dzcpy_time); + if (data->iter_count == 0) + //Save a copy of descZ into descZcpy for restoring each iteration (Only for the first iteration) + CHAMELEON_dlacpy_Tile_Async(ChamUpperLower, CHAM_descZ, CHAM_descZcpy, msequence, mrequest); + else { + VERBOSE("re-store the original Z vector..."); + CHAMELEON_dlacpy_Tile_Async(ChamUpperLower, CHAM_descZcpy, CHAM_descZ, msequence, mrequest); + VERBOSE(" Done.\n"); + } + STOP_TIMING(dzcpy_time); + + //Generate new co-variance matrix C based on new theta + VERBOSE("Generate New Covariance Matrix..."); + START_TIMING(matrix_gen_time); + //EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAM_descC, msequence, mrequest, &data->l1, &data->l1,(double*) theta, data->dm); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAM_descC, &data->l1, &data->l1, &data->lm, (double*) theta, data->dm, + data->kernel_fun, msequence, &mrequest[0]); + CHAMELEON_Sequence_Wait(msequence); + STOP_TIMING(matrix_gen_time); + VERBOSE(" Done.\n"); + + //Calculate Cholesky Factorization (C=LL-1) + VERBOSE("Cholesky factorization of Sigma..."); + START_TIMING(time_facto); + success = CHAMELEON_dpotrf_Tile_Async(ChamLower, CHAM_descC, msequence, mrequest); + STOP_TIMING(time_facto); + SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); + flops = flops + FLOPS_DPOTRF(N); + VERBOSE(" Done.\n"); + + //Calculate log(|C|) --> log(square(|L|)) + VERBOSE("Calculating the log determinant ..."); + START_TIMING(logdet_calculate); + EXAGEOSTAT_MLE_dmdet_Tile_Async(CHAM_descC, msequence, &mrequest[0], CHAM_descdet); + CHAMELEON_Sequence_Wait(msequence); + logdet = 2 * data->det; + STOP_TIMING(logdet_calculate); + VERBOSE(" Done.\n"); + + //Solving Linear System (L*X=Z)--->inv(L)*Z + VERBOSE("Solving the linear system ...\n"); + START_TIMING(time_solve); + CHAMELEON_dtrsm_Tile_Async(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAM_descC, CHAM_descZ, msequence, + mrequest); + STOP_TIMING(time_solve); + flops = flops + FLOPS_DTRSM(ChamLeft, N, NRHS); + VERBOSE(" Done.\n"); + + //Claculate MLE likelihood + VERBOSE("Calculating the MLE likelihood function ..."); + void *ws; + CHAMELEON_dgemm_Tile_Async(ChamTrans, ChamNoTrans, 1, CHAM_descZ, CHAM_descZ, 0, CHAM_descproduct, ws, msequence, + mrequest); + loglik = -0.5 * data->dotp - 0.5 * logdet - (double) (N / 2.0) * log(2.0 * PI); + VERBOSE(" Done.\n"); + + //Distribute the values in the case of MPI +#if defined(CHAMELEON_USE_MPI) + MPI_Bcast(&loglik,1, MPI_DOUBLE, 0, MPI_COMM_WORLD ); + MPI_Bcast(theta,3, MPI_DOUBLE, 0, MPI_COMM_WORLD ); + if(CHAMELEON_My_Mpi_Rank() == 0) + { +#endif + //Print Iteration Summary + fprintf(stderr, "------ddotproduct: %.8f ", data->dotp); + fprintf(stderr, "------logdet: %.8f ", logdet); + fprintf(stderr, "------expr2: %.8f ", ((double) (N / 2) * log(2 * PI))); + //reformat + fprintf(stderr, " %3d- Model Parameters (variance, range, smoothness): (%.8f, %.8f, %.8f) ----> LogLi: %.8f\n", + data->iter_count + 1, theta[0], theta[1], theta[2], loglik); + + if (data->log == 1) + fprintf(data->pFileLog, + " %3d- Model Parameters (variance, range, smoothness): (%.8f, %.8f, %.8f) ----> LogLi: %.8f\n", + data->iter_count + 1, theta[0], theta[1], theta[2], loglik); + + fprintf(stderr, " ---- Facto Time: %6.2f\n", time_facto); + fprintf(stderr, " ---- logdet Time: %6.2f\n", logdet_calculate); + fprintf(stderr, " ---- dtrsm Time: %6.2f\n", time_solve); + fprintf(stderr, " ---- Matrix Generation Time: %6.2f\n", matrix_gen_time); + fprintf(stderr, " ---- Total Time: %6.2f\n", matrix_gen_time + time_facto + logdet_calculate + time_solve); +#if defined(CHAMELEON_USE_MPI) + } +#endif + + data->iter_count++; + // for experiments + data->avg_exec_time_per_iter += matrix_gen_time + time_facto + logdet_calculate + time_solve; + data->avg_flops_per_iter += flops / 1e9 / (time_facto + time_solve); + data->final_loglik = loglik; + + return loglik; +} + +void EXAGEOSTAT_dmle_Predict_Allocate(MLE_data *CHAM_data, int nZmiss, int nZobs, int dts, int p_grid, int q_grid, + int mse_flag) +//! Allocate prediction operation descriptors. +/*! + * Returns MLE_data data with initial values and new descriptors locations. + * @param[in] CHAMELEON_data: MLE_data struct with different MLE inputs. + * @param[in] nZmiss: number of missing values (unknown observations). + * @param[in] nZobs: number of observed values (known observations). + * @param[in] dts: tile size (MB). + * @param[in] p_grid: p_grid in the case of distributed system. + * @param[in] q_grid: q_grid in the case of distributed system. + * @param[in] mse_flag: flag to enable or disable Mean Square Error (MSE) computing. + * */ +{ + CHAM_desc_t *CHAM_descZmiss = NULL; + CHAM_desc_t *CHAM_descC12 = NULL; + CHAM_desc_t *CHAM_descC22 = NULL; + CHAM_desc_t *CHAM_descmse = NULL; + CHAM_desc_t *CHAM_descmse1 = NULL; + CHAM_desc_t *CHAM_descmse2 = NULL; + CHAM_desc_t *CHAM_descZactual = NULL; + CHAM_desc_t *CHAM_descZobs = NULL; + MLE_data *data = (MLE_data *) CHAM_data; + + if (nZmiss <= 0) { + fprintf(stderr, " Number of missing values should be positive value\n"); + return; + } + + //bi-variate case + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_flexible") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_flexible_profile") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_flexible2") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_flexible2_profile") == 0) { + nZobs *= 2; + nZmiss *= 2; + } + + //Descriptors Creation + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descZobs, NULL, ChamRealDouble, dts, dts, dts * dts, nZobs, 1, 0, 0, nZobs, 1, + p_grid, q_grid); + if (mse_flag == 1) { + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descZactual, NULL, ChamRealDouble, dts, dts, dts * dts, nZmiss, 1, 0, 0, + nZmiss, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descmse, &data->mserror, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, + 1, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descmse1, &data->mserror1, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, + 0, 1, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descmse2, &data->mserror2, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, + 0, 1, 1, p_grid, q_grid); + } + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descZmiss, NULL, ChamRealDouble, dts, dts, dts * dts, nZmiss, 1, 0, 0, nZmiss, + 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descC12, NULL, ChamRealDouble, dts, dts, dts * dts, nZmiss, nZobs, 0, 0, + nZmiss, nZobs, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descC22, NULL, ChamRealDouble, dts, dts, dts * dts, nZobs, nZobs, 0, 0, nZobs, + nZobs, p_grid, q_grid); + + //Initiate data descriptors + data->descZmiss = CHAM_descZmiss; + data->descC12 = CHAM_descC12; + data->descC22 = CHAM_descC22; + data->descmse = CHAM_descmse; + data->descmse1 = CHAM_descmse1; + data->descmse2 = CHAM_descmse2; + data->descZactual = CHAM_descZactual; + data->descZobs = CHAM_descZobs; + +} + + +double +EXAGEOSTAT_dmle_Predict_Tile(MLE_data *CHAM_data, double*theta, int nZmiss, int nZobs, double*Zobs, double*Zactual, + double*Zmiss, int n) +//! //Predict missing values base on a set of given values and covariance matrix +/*! -- CHAM-sync + * Returns the prediction Mean Square Error (MSE) as double + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. + * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] nZmiss: number of missing values (unknown observations). + * @param[in] nZobs: number of observed values (known observations). + * @param[in] Zobs: observed values vector (known observations). + * @param[in] Zmiss missing values vector (unknown observations). + * @param[in] Zactual: actual missing values vector (in the case of testing MSE). + * @param[in] n: number of spatial locations. + * */ +{ + + //initialization + double time_solve = 0.0; + double mat_gen_time = 0.0; + double time_gemm = 0.0; + double time_mse = 0.0; + double flops = 0.0; + int num_params = 0; + + CHAM_desc_t *CHAM_descZmiss = NULL; + CHAM_desc_t *CHAM_descC12 = NULL; + CHAM_desc_t *CHAM_descC22 = NULL; + CHAM_desc_t *CHAM_descmse = NULL; + CHAM_desc_t *CHAM_descmse1 = NULL; + CHAM_desc_t *CHAM_descmse2 = NULL; + CHAM_desc_t *CHAM_descZactual = NULL; + CHAM_desc_t *CHAM_descZobs = NULL; + MLE_data *data = (MLE_data *) CHAM_data; + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + data->mserror = 0; + + if (nZmiss <= 0) { + fprintf(stderr, " Number of missing values should be positive value\n"); + return -1; + } + + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { + data->kernel_fun = "bivariate_matern_parsimonious"; + } + + //Initiate data descriptors + CHAM_descZmiss = data->descZmiss; + CHAM_descC12 = data->descC12; + CHAM_descC22 = data->descC22; + CHAM_descmse = data->descmse; + CHAM_descmse1 = data->descmse1; + CHAM_descmse2 = data->descmse2; + CHAM_descZactual = data->descZactual; + CHAM_descZobs = data->descZobs; + + //Copy data to vectors + VERBOSE("Copy measurments vector to descZobs descriptor..."); + CHAMELEON_Lapack_to_Tile(Zobs, nZobs, CHAM_descZobs); + VERBOSE(" Done.\n"); + + if (Zactual != NULL) { + VERBOSE("Copy actual measurments vector to descZactual descriptor..."); + CHAMELEON_Lapack_to_Tile(Zactual, nZmiss, CHAM_descZactual); + VERBOSE(" Done.\n"); + } + + CHAMELEON_Sequence_Wait(msequence); + + if (strcmp(data->kernel_fun, "univariate_matern_stationary") == 0 || + strcmp(data->kernel_fun, "univariate_pow_exp_stationary") == 0) + num_params = 3; + else if (strcmp(data->kernel_fun, "univariate_matern_nuggets_stationary") == 0) + num_params = 4; + else if (strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) + num_params = 9; + else if (strcmp(data->kernel_fun, "bivariate_matern_flexible") == 0) + num_params = 11; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0) + num_params = 6; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0) + num_params = 6; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) + num_params = 6; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) + num_params = 6; + else if (strcmp(data->kernel_fun, "univariate_spacetime_matern_stationary") == 0) + num_params = 7; + else { + fprintf(stderr, "Choosen kernel is not exist!\n"); + fprintf(stderr, "Called function is: %s\n", __func__); + exit(0); + } + + printf("estimated parameters:"); + int i = 0; + for (i = 0; i < num_params; i++) { + printf("%.8f,", theta[i]); + + } + printf(")\n"); + START_TIMING(mat_gen_time); + + //Generate C22 covariance matrix + VERBOSE("Generate C22 Covariance Matrix... (Prediction Stage)"); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAM_descC22, &data->lobs, &data->lobs, &data->lm, theta, data->dm, + data->kernel_fun, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); + VERBOSE(" Done.\n"); + + //Generate C12 covariance matrix + VERBOSE("Generate C12 Covariance Matrix... (Prediction Stage)"); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAM_descC12, &data->lmiss, &data->lobs, &data->lm, theta, data->dm, + data->kernel_fun, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); + VERBOSE(" Done.\n"); + STOP_TIMING(mat_gen_time); + + START_TIMING(time_solve); + //Start prediction + VERBOSE("Calculate dposv C22 Covariance Matrix... (Prediction Stage)"); + CHAMELEON_dposv_Tile(ChamLower, CHAM_descC22, CHAM_descZobs); + flops = flops + FLOPS_DPOTRF(nZobs); + flops = flops + FLOPS_DTRSM(ChamLeft, nZobs, nZobs); + VERBOSE(" Done.\n"); + STOP_TIMING(time_solve); + + START_TIMING(time_gemm); + VERBOSE("Calculate dgemm Zmiss= C12 * Zobs Covariance Matrix... (Prediction Stage)"); + CHAMELEON_dgemm_Tile(ChamNoTrans, ChamNoTrans, 1, CHAM_descC12, CHAM_descZobs, 0, CHAM_descZmiss); + flops = flops + FLOPS_DGEMM(nZmiss, nZobs, nZobs); + VERBOSE(" Done.\n"); + STOP_TIMING(time_gemm); + + //return back descZmiss to zmiss vector + CHAMELEON_Tile_to_Lapack(CHAM_descZmiss, Zmiss, nZmiss); + + //Estimate Mean Square Error + if (Zactual != NULL) { + START_TIMING(time_mse); + VERBOSE("Calculate Mean Square Error (MSE) ... (Prediction Stage) \n"); + + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) + + EXAGEOSTAT_MLE_dmse_bivariate_Tile_Async(CHAM_descZactual, CHAM_descZmiss, CHAM_descmse1, CHAM_descmse2, + CHAM_descmse, msequence, mrequest); + else + + EXAGEOSTAT_MLE_dmse_Tile_Async(CHAM_descZactual, CHAM_descZmiss, CHAM_descmse, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); + VERBOSE(" Done.\n"); + STOP_TIMING(time_mse); + data->mserror /= nZmiss; + data->mserror1 /= (nZmiss / 2); + data->mserror2 /= (nZmiss / 2); + } else + data->mserror = -1; + +#if defined(CHAMELEON_USE_MPI) + if(CHAMELEON_My_Mpi_Rank() == 0) + { +#endif + + double*z; + if (data->log == 1) + fprintf(data->pFileLog, + "\n\n# of missing observations :%d\n\nPrediction Execution Time: %.8f, Flops: %.8f, Mean Square Error (MSE): %.8f\n\n", + nZmiss, (mat_gen_time + time_solve + time_mse), (flops / 1e9 / (time_solve)), data->mserror); + + //output + results.mse_pred1 = data->mserror1; + results.mse_pred2 = data->mserror2; + results.mse_pred = data->mserror; + results.total_pred_time = mat_gen_time + time_solve + time_gemm; + results.total_pred_flops = flops / 1e9 / (time_solve); + +#if defined(CHAMELEON_USE_MPI) + } +#endif + + return data->mserror; +} + +double EXAGEOSTAT_dmle_Predict_Tile_Async(MLE_data *CHAM_data, double*theta, int nZmiss, int nZobs, int n) +//! //Predict missing values base on a set of given values and covariance matrix +/*! -- CHAM-Async + * Returns the prediction Mean Square Error (MSE) as double + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. + * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] nZmiss: number of missing values (unknown observations). + * @param[in] nZobs: number of observed values (known observations). + * @param[in] n: number of spatial locations. + * */ +{ + + //initialization + location *l1 = NULL, *l2 = NULL; + location temp_loc; + double mat_gen_time = 0.0; + double time_solve = 0.0; + double time_mse = 0.0; + double flops = 0.0; + MLE_data *data = (MLE_data *) CHAM_data; + CHAM_desc_t *CHAM_descZ = (CHAM_desc_t *) (data->descZcpy); + CHAM_desc_t *CHAM_descZobs = (CHAM_desc_t *) (data->descZobs); + CHAM_desc_t *CHAM_descZactual = (CHAM_desc_t *) (data->descZactual); + CHAM_desc_t *CHAM_descZmiss = (CHAM_desc_t *) (data->descZmiss); + CHAM_desc_t *CHAM_descC12 = (CHAM_desc_t *) (data->descC12); + CHAM_desc_t *CHAM_descC22 = (CHAM_desc_t *) (data->descC22); + CHAM_desc_t *CHAM_descmse = (CHAM_desc_t *) (data->descmse); + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) (data->sequence); + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + + if (strcmp(data->actualZFPath, "") == 0) { + double*z = NULL; +#if defined(CHAMELEON_USE_MPI) + z = (double*) malloc(n * sizeof(double)); + CHAMELEON_Tile_to_Lapack( CHAM_descZ, z, n); +#else + z = CHAM_descZ->mat; +#endif + +#if defined(CHAMELEON_USE_MPI) + CHAMELEON_Lapack_to_Tile( z, n, CHAM_descZ); +#endif + + l1 = &data->l1; + temp_loc.x = &l1->x[nZmiss]; + temp_loc.y = &l1->y[nZmiss]; + l2 = &temp_loc; + } else { + double*streamdata = NULL; + l1 = &data->l1; + temp_loc.x = &l1->x[nZmiss]; + temp_loc.y = &l1->y[nZmiss]; + l2 = &temp_loc; + + VERBOSE("Reading ActualZ locations for prediction from disk ....."); + l1 = readLocsFile(data->actualZLocFPath, nZmiss); + VERBOSE(" Done.\n"); + + VERBOSE("Reading ActualZ for prediction from disk ....."); + streamdata = readObsFile(data->actualZFPath, nZmiss); + EXAGEOSTAT_MLE_dzcpy_Tile_Async(CHAM_descZactual, streamdata, msequence, mrequest); + CHAMELEON_Sequence_Wait(data->sequence); + VERBOSE(" Done.\n"); + } + + START_TIMING(mat_gen_time); + + //Generate C22 covariance matrix + VERBOSE("Generate C22 Covariance Matrix... (Prediction Stage)"); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAM_descC22, l2, l2, &data->lm, theta, data->dm, data->kernel_fun, + msequence, mrequest); + VERBOSE(" Done.\n"); + + //Generate C12 covariance matrix + VERBOSE("Generate C12 Covariance Matrix... (Prediction Stage)"); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAM_descC12, l1, l2, &data->lm, theta, data->dm, data->kernel_fun, + msequence, mrequest); + VERBOSE(" Done.\n"); + STOP_TIMING(mat_gen_time); + + START_TIMING(time_solve); + //Start prediction + VERBOSE("Calculate dposv C22 Covariance Matrix... (Prediction Stage)"); + CHAMELEON_dposv_Tile_Async(ChamLower, CHAM_descC22, CHAM_descZobs, msequence, mrequest); + flops = flops + FLOPS_DPOTRF(nZobs); + flops = flops + FLOPS_DTRSM(ChamLeft, nZobs, nZobs); + VERBOSE(" Done.\n"); + + VERBOSE("Calculate dgemm Zmiss= C12 * Zobs Covariance Matrix... (Prediction Stage)"); + void *ws; + CHAMELEON_dgemm_Tile_Async(ChamNoTrans, ChamNoTrans, 1, CHAM_descC12, CHAM_descZobs, 0, CHAM_descZmiss, ws, + msequence, mrequest); + flops = flops + FLOPS_DGEMM(nZmiss, nZobs, nZobs); + VERBOSE(" Done.\n"); + STOP_TIMING(time_solve); + + //Estimate Mean Square Error + START_TIMING(time_mse); + VERBOSE("Calculate Mean Square Error (MSE) ... (Prediction Stage) \n"); + EXAGEOSTAT_MLE_dmse_Tile_Async(CHAM_descZactual, CHAM_descZmiss, CHAM_descmse, msequence, mrequest); + VERBOSE(" Done.\n"); + STOP_TIMING(time_mse); + + //if you do not have actual value to compare with + if (data->descZactual == NULL) + return -1; + + data->mserror /= nZmiss; + +#if defined(CHAMELEON_USE_MPI) + if(CHAMELEON_My_Mpi_Rank() == 0) + { +#endif + if (data->log == 1) + fprintf(data->pFileLog, + "\n\n# of missing observations :%d\n\nPrediction Execution Time: %.8f, Flops: %.8f, Mean Square Error (MSE): %.8f\n\n", + nZmiss, (mat_gen_time + time_solve + time_mse), (flops / 1e9 / (time_solve)), data->mserror); + +#if defined(CHAMELEON_USE_MPI) + } +#endif + + return data->mserror; +} + +void EXAGEOSTAT_dmle_mloe_mmom_Allocate(MLE_data *CHAM_data, int nZmiss, int nZobs, int dts, int p_grid, int q_grid) +//! Allocate prediction operation descriptors. +/*! + * Returns MLE_data data with initial values and new descriptors locations. + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. + * @param[in] nZmiss: number of missing values (unknown observations). + * @param[in] nZobs: number of observed values (known observations). + * @param[in] dts: tile size (MB). + * @param[in] p_grid: p_grid in the case of distributed system. + * @param[in] q_grid: q_grid in the case of distributed system. + * @param[in] mse_flag: flag to enable or disable Mean Square Error (MSE) computing. + * */ +{ + + CHAM_desc_t *CHAM_desck_t = NULL; + CHAM_desc_t *CHAM_desck_a = NULL; + CHAM_desc_t *CHAM_desck_atmp = NULL; + CHAM_desc_t *CHAM_desck_ttmp = NULL; + CHAM_desc_t *CHAM_descK_t = NULL; + CHAM_desc_t *CHAM_descK_ttmp = NULL; + CHAM_desc_t *CHAM_descK_a = NULL; + CHAM_desc_t *CHAM_descexpr1 = NULL; + CHAM_desc_t *CHAM_descexpr2 = NULL; + CHAM_desc_t *CHAM_descexpr3 = NULL; + CHAM_desc_t *CHAM_descexpr4 = NULL; + CHAM_desc_t *CHAM_descmloe = NULL; + CHAM_desc_t *CHAM_descmmom = NULL; + CHAM_desc_t *CHAM_descalpha = NULL; + CHAM_desc_t *CHAM_desctruthalpha = NULL; + CHAM_desc_t *CHAM_descestimatedalpha = NULL; + CHAM_desc_t *CHAM_desc_mloe_mmom = NULL; + MLE_data *data = (MLE_data *) CHAM_data; + int p = 0; + if (nZmiss <= 0) { + fprintf(stderr, " Number of missing values should be positive value\n"); + return; + } + if (strcmp(data->kernel_fun, "univariate_matern_stationary") == 0) + p = 1; + else if (strcmp(data->kernel_fun, "univariate_matern_nuggets_stationary") == 0) + p = 1; + else if (strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) + p = 1; + else if (strcmp(data->kernel_fun, "bivariate_matern_flexible") == 0) + p = 2; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) + p = 2; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) + p = 2; + else if (strcmp(data->kernel_fun, "univariate_spacetime_matern_stationary") == 0) + p = 1; + else { + fprintf(stderr, "Choosen kernel is not exist!\n"); + fprintf(stderr, "Called function is: %s\n", __func__); + exit(0); + } + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_desck_t, NULL, ChamRealDouble, dts, dts, dts * dts, p * nZobs, p, 0, 0, + p * nZobs, p, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_desck_a, NULL, ChamRealDouble, dts, dts, dts * dts, p * nZobs, p, 0, 0, + p * nZobs, p, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_desck_atmp, NULL, ChamRealDouble, dts, dts, dts * dts, p * nZobs, p, 0, 0, + p * nZobs, p, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_desck_ttmp, NULL, ChamRealDouble, dts, dts, dts * dts, p * nZobs, p, 0, 0, + p * nZobs, p, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descexpr1, NULL, ChamRealDouble, dts, dts, dts * dts, p, p, 0, 0, p, p, + p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descexpr2, NULL, ChamRealDouble, dts, dts, dts * dts, p, p, 0, 0, p, p, + p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descexpr3, NULL, ChamRealDouble, dts, dts, dts * dts, p, p, 0, 0, p, p, + p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descexpr4, NULL, ChamRealDouble, dts, dts, dts * dts, p, p, 0, 0, p, p, + p_grid, q_grid); + data->mloe = 0; + data->mmom = 0; + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descmloe, &data->mloe, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, + p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descmmom, &data->mmom, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, + p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_desctruthalpha, NULL, ChamRealDouble, dts, dts, dts * dts, p, p, 0, 0, p, p, + p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descestimatedalpha, NULL, ChamRealDouble, dts, dts, dts * dts, p, p, 0, 0, p, + p, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descK_t, NULL, ChamRealDouble, dts, dts, dts * dts, p * nZobs, p * nZobs, 0, + 0, p * nZobs, p * nZobs, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descK_a, NULL, ChamRealDouble, dts, dts, dts * dts, p * nZobs, p * nZobs, 0, + 0, p * nZobs, p * nZobs, p_grid, q_grid); + + //Initiae data descriptors + data->desck_t = CHAM_desck_t; + data->desck_a = CHAM_desck_a; + data->desck_atmp = CHAM_desck_atmp; + data->desck_ttmp = CHAM_desck_ttmp; + data->descK_t = CHAM_descK_t; + data->descK_a = CHAM_descK_a; + data->descexpr1 = CHAM_descexpr1; + data->descexpr2 = CHAM_descexpr2; + data->descexpr3 = CHAM_descexpr3; + data->descexpr4 = CHAM_descexpr4; + data->descmloe = CHAM_descmloe; + data->descmmom = CHAM_descmmom; + data->descestimatedalpha = CHAM_descestimatedalpha; + data->desctruthalpha = CHAM_desctruthalpha; +} + + +void +EXAGEOSTAT_dmle_mloe_mmom_Tile(MLE_data *CHAM_data, double*truth_theta, double*estimated_theta, int nZmiss, int nZobs, + int n) +//! //Predict missing values base on a set of given values and covariance matrix +/*! -- CHAM-sync + * Returns the prediction Mean Square Error (MSE) as double + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. + * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] nZmiss: number of missing values (unknown observations). + * @param[in] nZobs: number of observed values (known observations). + * @param[in] Zobs: observed values vector (known observations). + * @param[in] Zmiss missing values vector (unknown observations). + * @param[in] Zactual: actual missing values vector (in the case of testing MSE). + * @param[in] n: number of spatial locations. + * */ +{ + printf("%f, %f, %f, %f\n", truth_theta[0], truth_theta[1], truth_theta[2], truth_theta[3]); + printf("%f, %f, %f,%f \n", estimated_theta[0], estimated_theta[1], estimated_theta[2], estimated_theta[3]); + double loe_sum = 0.0; + double mom_sum = 0.0; + int i = 0; + int p = 0; + int v = 0; + int j = 0; + double all_time = 0.0; + double cholesky1 = 0.0; + double cholesky2 = 0.0; + double matrix_gen = 0.0; + double vecs_gen = 0.0; + double matrix_gen3 = 0.0; + double matrix_gen4 = 0.0; + double copy_vecs = 0.0; + double trsm1 = 0.0; + double trsm2 = 0.0; + double trsm3 = 0.0; + double trsm4 = 0.0; + double trsm5 = 0.0; + double trsm6 = 0.0; + double trsm7 = 0.0; + double gevv1 = 0.0; + double gevv2 = 0.0; + double gevv3 = 0.0; + double gevv4 = 0.0; + double gevv5 = 0.0; + //************************************************************************ + double*loe = (double*) malloc(nZmiss * sizeof(double)); + double*mom = (double*) malloc(nZmiss * sizeof(double)); + + MLE_data *data = (MLE_data *) CHAM_data; + CHAM_desc_t *CHAM_desck_t = data->desck_t; + CHAM_desc_t *CHAM_desck_a = data->desck_a; + CHAM_desc_t *CHAM_descK_t = data->descK_t; + CHAM_desc_t *CHAM_descK_a = data->descK_a; + CHAM_desc_t *CHAM_desck_atmp = data->desck_atmp; + CHAM_desc_t *CHAM_desck_ttmp = data->desck_ttmp; + CHAM_desc_t *CHAM_descexpr1 = data->descexpr1; + CHAM_desc_t *CHAM_descexpr2 = data->descexpr2; + CHAM_desc_t *CHAM_descexpr3 = data->descexpr3; + CHAM_desc_t *CHAM_descexpr4 = data->descexpr4; + CHAM_desc_t *CHAM_descmloe = data->descmloe; + CHAM_desc_t *CHAM_descmmom = data->descmmom; + CHAM_desc_t *CHAM_descestimatedalpha = data->descestimatedalpha; + CHAM_desc_t *CHAM_desctruthalpha = data->desctruthalpha; + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) (data->sequence); + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + location lmiss; + lmiss.x = (double*) malloc(sizeof(double)); + lmiss.y = (double*) malloc(sizeof(double)); + + double*univariate_theta; + double*univariate2_theta; + double*univariate3_theta; + double nu12; + double rho; + double sigma_square12; + + double flops = 0.0; + START_TIMING(all_time); + + int m = CHAM_descestimatedalpha->m; + double*truthalpha = (double*) malloc(m * m * sizeof(double)); + double*estimatedalpha = (double*) malloc(m * m * sizeof(double)); + double*temp1 = (double*) malloc(m * m * sizeof(double)); + double*temp2 = (double*) malloc(m * m * sizeof(double)); + double*temp3 = (double*) malloc(m * m * sizeof(double)); + if (m == 1) { + truthalpha[0] = truth_theta[0]; + estimatedalpha[0] = estimated_theta[0]; + } + + if (m == 2) { + double truth_nu12 = 0.5 * (truth_theta[3] + truth_theta[4]); + double truth_rho = truth_theta[5] * sqrt((tgamma(truth_theta[3] + 1) * tgamma(truth_theta[4] + 1)) / + (tgamma(truth_theta[3]) * tgamma(truth_theta[4]))) * + tgamma(truth_nu12) / tgamma(truth_nu12 + 1); + + double estimated_nu12 = 0.5 * (estimated_theta[3] + estimated_theta[4]); + double estimated_rho = + estimated_theta[5] * sqrt((tgamma(estimated_theta[3] + 1) * tgamma(estimated_theta[4] + 1)) / + (tgamma(estimated_theta[3]) * tgamma(estimated_theta[4]))) * + tgamma(estimated_nu12) / tgamma(estimated_nu12 + 1); + + truthalpha[0] = truth_theta[0]; + estimatedalpha[0] = estimated_theta[0]; + + truthalpha[1] = truthalpha[3] = truth_rho + * sqrt(truth_theta[0] * truth_theta[1]); + + estimatedalpha[1] = estimatedalpha[3] = estimated_rho + * sqrt(estimated_theta[0] * estimated_theta[1]); + truthalpha[2] = truth_theta[1]; + estimatedalpha[2] = estimated_theta[1]; + + } + CHAMELEON_Lapack_to_Tile(truthalpha, m, CHAM_desctruthalpha); + CHAMELEON_Lapack_to_Tile(estimatedalpha, m, CHAM_descestimatedalpha); + + char* name = malloc(strlen(data->kernel_fun) + 1); + strcpy(name, data->kernel_fun); + + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { + printf("TODO: running with Z=1 no more\n"); + data->kernel_fun = "bivariate_matern_parsimonious"; + } + + START_TIMING(matrix_gen); + VERBOSE("Create K_a and K_t Covariance Matrices (MLOE-MMOM)....."); + + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAM_descK_a, &data->lobs, &data->lobs, &data->lm, estimated_theta, + data->dm, data->kernel_fun, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); + //(2)Generate the co-variance matrix descK_t + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAM_descK_t, &data->lobs, &data->lobs, &data->lm, truth_theta, data->dm, + data->kernel_fun, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); + VERBOSE(" Done.\n"); + STOP_TIMING(matrix_gen); + + //Cholesky factorization for the Co-variance matrix CHAM_descK_a + START_TIMING(cholesky1); + VERBOSE("(3)Cholesky factorization of CHAM_descK_a (MLOE-MMOM) ....."); + int success = CHAMELEON_dpotrf_Tile(ChamLower, CHAM_descK_a); + SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); + VERBOSE(" Done.\n"); + STOP_TIMING(cholesky1); + flops = flops + FLOPS_DPOTRF(CHAM_descK_a->m); + + START_TIMING(cholesky2); + //(5)Cholesky factorization for the Co-variance matrix CHAM_descK_t + VERBOSE("(5)Cholesky factorization of CHAM_descK_t (MLOE-MMOM) ....."); + success = CHAMELEON_dpotrf_Tile(ChamLower, CHAM_descK_t); + SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); + VERBOSE(" Done.\n"); + STOP_TIMING(cholesky2); + flops = flops + FLOPS_DPOTRF(CHAM_descK_t->m); + + double total_loop_time = 0.0; + double loop_time = 0.0; + for (p = 0; p < nZmiss; p++) { +#if defined(CHAMELEON_USE_MPI) + if(CHAMELEON_My_Mpi_Rank() == 0) + { +#endif + fprintf(stderr, "%d ", p); +#if defined(CHAMELEON_USE_MPI) + } +#endif + lmiss.x[0] = data->lmiss.x[p]; + lmiss.y[0] = data->lmiss.y[p]; + + VERBOSE("Generate two vectors k_a and k_t (MLOE-MMOM)....."); + START_TIMING(vecs_gen); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, CHAM_desck_t, &data->lobs, &lmiss, &data->lm, truth_theta, + data->dm, data->kernel_fun, msequence, mrequest); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, CHAM_desck_a, &data->lobs, &lmiss, &data->lm, estimated_theta, + data->dm, data->kernel_fun, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); + STOP_TIMING(vecs_gen); + + //(6a)Copy CHAM_desck_a to CHAM_descK_atmp (MLOE-MMOM) + VERBOSE("(6a)Copy CHAM_desck_a to CHAM_descK_atmp (MLOE-MMOM)....."); + START_TIMING(copy_vecs); + CHAMELEON_dlacpy_Tile(ChamUpperLower, CHAM_desck_t, CHAM_desck_ttmp); + CHAMELEON_dlacpy_Tile(ChamUpperLower, CHAM_desck_a, CHAM_desck_atmp); + STOP_TIMING(copy_vecs); + VERBOSE(" Done.\n"); + + START_TIMING(loop_time); + START_TIMING(trsm1); + //(7) Triangular Solve (TRSM) k_a = TRSM(L_a^-1, k_a) + VERBOSE("Solving the linear system k_a = TRSM(l_a^-1, k_a) ...(MLOE-MMOM)\n"); + CHAMELEON_dtrsm_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAM_descK_a, CHAM_desck_a); + VERBOSE(" Done.\n"); + flops = flops + FLOPS_DTRSM(ChamLeft, CHAM_descK_a->m, CHAM_desck_a->n); + STOP_TIMING(trsm1); + + START_TIMING(trsm2); + //(9) Triangular Solve (TRSM) k_t = TRSM(L_t^-1, k_t) + VERBOSE("(9)Solving the linear system k_t = TRSM(L_t^-1, k_t) ...(MLOE-MMOM)\n"); + CHAMELEON_dtrsm_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAM_descK_t, CHAM_desck_t); + flops = flops + FLOPS_DTRSM(ChamLeft, CHAM_descK_t->m, CHAM_desck_t->n); + VERBOSE(" Done.\n"); + STOP_TIMING(trsm2); + + START_TIMING(trsm3); + //(8) Triangular Solve (TRSM) k_a = TRSM(L_a^-T, k_a) + VERBOSE("Solving the linear system k_a = TRSM(L_a^-T, k_a) ...(MLOE-MMOM)\n"); + CHAMELEON_dtrsm_Tile(ChamLeft, ChamLower, ChamTrans, ChamNonUnit, 1, CHAM_descK_a, CHAM_desck_a); + flops = flops + FLOPS_DTRSM(ChamLeft, CHAM_descK_a->m, CHAM_desck_a->n); + VERBOSE(" Done.\n"); + STOP_TIMING(trsm3); + + START_TIMING(trsm4); + //(10) Triangular Solve (TRSM) k_t = TRSM(L_t^-T, k_t) + VERBOSE("(10)Solving the linear system k_t = TRSM(L_a^-T, k_t) ...(MLOE-MMOM)\n"); + CHAMELEON_dtrsm_Tile(ChamLeft, ChamLower, ChamTrans, ChamNonUnit, 1, CHAM_descK_t, CHAM_desck_t); + flops = flops + FLOPS_DTRSM(ChamLeft, CHAM_descK_t->m, CHAM_desck_t->n); + VERBOSE(" Done.\n"); + STOP_TIMING(trsm4); + + START_TIMING(gevv2); + //(12) Calculate dgemm value= CHAM_desck_t^T * CHAM_desck_a + VERBOSE("(12)Calculate dgemm CHAM_descexpr1 = CHAM_desck_t^T * CHAM_desck_a... (MLOE-MMOM)"); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAM_desck_ttmp, CHAM_desck_a, 0, CHAM_descexpr1); + flops = flops + FLOPS_DGEMM(CHAM_desck_ttmp->m, CHAM_desck_a->n, CHAM_descexpr1->n); + VERBOSE(" Done.\n"); + STOP_TIMING(gevv2); + START_TIMING(gevv3); + //(13) Calculate dgemm value= CHAM_desck_a^T * CHAM_desck_atmp + VERBOSE("(13)Calculate dgemm CHAM_descexpr1 = CHAM_desck_a^T * CHAM_desck_a... (MLOE-MMOM)"); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAM_desck_atmp, CHAM_desck_a, 0, CHAM_descexpr4); + flops = flops + FLOPS_DGEMM(CHAM_desck_atmp->m, CHAM_desck_a->n, CHAM_descexpr4->n); + VERBOSE(" Done.\n"); + STOP_TIMING(gevv3); + + + START_TIMING(gevv1); + //(11) Calculate dgemm value= CHAM_desck_a^T * CHAM_desck_t + VERBOSE("(11)Calculate dgemm CHAM_descexpr4 = CHAM_desck_a^T * CHAM_desck_t... (Prediction Stage)"); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAM_desck_ttmp, CHAM_desck_t, 0, CHAM_descexpr3); + flops = flops + FLOPS_DGEMM(CHAM_desck_ttmp->m, CHAM_desck_t->n, CHAM_descexpr3->n); + VERBOSE(" Done.\n"); + STOP_TIMING(gevv1); + + //(14) Calculate dgemm CHAM_desck_a= CHAM_descK_t * CHAM_desck_a (use k_t as k_a) + START_TIMING(gevv4); + CHAMELEON_dtrmm_Tile(ChamLeft, ChamLower, ChamTrans, ChamNonUnit, 1, CHAM_descK_t, CHAM_desck_a); + STOP_TIMING(gevv4); + + //(13) Calculate dgemm value= CHAM_desck_a^T * CHAM_desck_t + VERBOSE("(17)Calculate dgemm CHAM_descexpr1 = CHAM_desck_a^T * CHAM_desck_a... (Prediction Stage)"); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAM_desck_a, CHAM_desck_a, 0, CHAM_descexpr2); + flops = flops + FLOPS_DGEMM(CHAM_desck_atmp->m, CHAM_desck_t->n, CHAM_descexpr2->n); + VERBOSE(" Done.\n"); + STOP_TIMING(gevv5); + + STOP_TIMING(loop_time); + + total_loop_time += loop_time; + + CHAMELEON_dgeadd_Tile(ChamNoTrans, 1, CHAM_desctruthalpha, -2, CHAM_descexpr1); + CHAMELEON_dgeadd_Tile(ChamNoTrans, 1, CHAM_descexpr1, 1, CHAM_descexpr2); + + CHAMELEON_dgeadd_Tile(ChamNoTrans, 1, CHAM_desctruthalpha, -1, CHAM_descexpr3); + CHAMELEON_dgeadd_Tile(ChamNoTrans, 1, CHAM_descestimatedalpha, -1, CHAM_descexpr4); + + printf("%f, %f, %f, %f\n", matrix_gen, vecs_gen, cholesky1, cholesky2); + printf("%f, %f, %f, %f, %f, %f, %f, %f, %f, %f, %f\n", trsm1, trsm2, trsm3, trsm5, trsm6, gevv1, gevv2, gevv3, + gevv4, gevv5); + //******************************* + + EXAGEOSTAT_MLE_dmloe_mmom_Tile_Async(CHAM_descexpr2, CHAM_descexpr3, CHAM_descexpr4, CHAM_descmloe, + CHAM_descmmom, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); + + } +#if defined(CHAMELEON_USE_MPI) + if(CHAMELEON_My_Mpi_Rank() == 0) + { +#endif + + printf("\nnZmiss = %d\n", nZmiss); + printf(" ----(MLOE-MMOM) Gflop/s: %6.2f\n", flops / 1e9 / (total_loop_time + cholesky1 + cholesky2)); + + +#if defined(CHAMELEON_USE_MPI) + } +#endif + + data->mloe /= nZmiss; + data->mmom /= nZmiss; + STOP_TIMING(all_time); + free(loe); + free(mom); + free(lmiss.x); + free(lmiss.y); + free(temp1); + free(temp2); + free(temp3); + free(estimatedalpha); + free(truthalpha); + + FILE *pFile; +#if defined(CHAMELEON_USE_MPI) + if ( CHAMELEON_My_Mpi_Rank() == 0 ) + { +#endif + //output + results.mloe = data->mloe; + results.mmom = data->mmom; + printf("\nMMLOE = %f", data->mloe); + printf("\nMMOM = %f\n\n\n", data->mmom); + results.mloe_exec = "sync"; + results.total_mloe_mmom_time = all_time; + results.matrix_gen_mloe_mmom_time = matrix_gen; + results.cho_fact_mloe_mmom_time = cholesky1 + cholesky2; + results.loop_mloe_mmom_time = total_loop_time; + results.total_mloe_mmom_flops = flops / 1e9 / (total_loop_time + cholesky1 + cholesky2); +#if defined(CHAMELEON_USE_MPI) + } +#endif + + fprintf(stderr, " ---- mloe_mmom Time: %6.2f seconds\n\n", all_time); + fprintf(stderr, " ---- gevv Time: %6.2f seconds\n\n", gevv4); +} + +void EXAGEOSTAT_dmle_mloe_mmom_Tile_Async(MLE_data *CHAM_data, double*truth_theta, double*estimated_theta, int nZmiss, + int nZobs, int n) +//! //Predict missing values base on a set of given values and covariance matrix +/*! -- CHAM-sync + * Returns the prediction Mean Square Error (MSE) as double + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. + * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] nZmiss: number of missing values (unknown observations). + * @param[in] nZobs: number of observed values (known observations). + * @param[in] Zobs: observed values vector (known observations). + * @param[in] Zmiss missing values vector (unknown observations). + * @param[in] Zactual: actual missing values vector (in the case of testing MSE). + * @param[in] n: number of spatial locations. + * */ +{ + + printf("%f, %f, %f\n", truth_theta[0], truth_theta[1], truth_theta[2]); + printf("%f, %f, %f\n", estimated_theta[0], estimated_theta[1], estimated_theta[2]); + double loe_sum = 0.0; + double mom_sum = 0.0; + int i = 0; + int p = 0; + int v = 0; + int j = 0; + double all_time = 0.0; + double cholesky1 = 0.0; + double cholesky2 = 0.0; + double matrix_gen1 = 0.0; + double matrix_gen2 = 0.0; + double vecs_gen = 0.0; + double copy1 = 0.0; + double copy2 = 0.0; + double copy_vecs = 0.0; + double trsm1 = 0.0; + double trsm2 = 0.0; + double trsm3 = 0.0; + double trsm4 = 0.0; + double trsm5 = 0.0; + double trsm6 = 0.0; + double trsm7 = 0.0; + double gevv1 = 0.0; + double gevv2 = 0.0; + double gevv3 = 0.0; + double gevv4 = 0.0; + double gevv5 = 0.0; + //************************************************************************ + double*loe = (double*) malloc(nZmiss * sizeof(double)); + double*mom = (double*) malloc(nZmiss * sizeof(double)); + + MLE_data *data = (MLE_data *) CHAM_data; + CHAM_desc_t *CHAM_desck_t = data->desck_t; + CHAM_desc_t *CHAM_desck_a = data->desck_a; + CHAM_desc_t *CHAM_descK_t = data->descK_t; + CHAM_desc_t *CHAM_descK_a = data->descK_a; + CHAM_desc_t *CHAM_desck_atmp = data->desck_atmp; + CHAM_desc_t *CHAM_desck_ttmp = data->desck_ttmp; + CHAM_desc_t *CHAM_descmloe = data->descmloe; + CHAM_desc_t *CHAM_descmmom = data->descmmom; + CHAM_desc_t *CHAM_descexpr1 = data->descexpr1; + CHAM_desc_t *CHAM_descexpr2 = data->descexpr2; + CHAM_desc_t *CHAM_descexpr3 = data->descexpr3; + CHAM_desc_t *CHAM_descexpr4 = data->descexpr4; + CHAM_desc_t *CHAM_descestimatedalpha = data->descestimatedalpha; + CHAM_desc_t *CHAM_desctruthalpha = data->desctruthalpha; + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) (data->sequence); + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + location lmiss; + lmiss.x = (double*) malloc(sizeof(double)); + lmiss.y = (double*) malloc(sizeof(double)); + + double*univariate_theta; + double*univariate2_theta; + double*univariate3_theta; + double nu12; + double rho; + double sigma_square12; + + double flops = 0.0; + START_TIMING(all_time); + + int m = CHAM_descestimatedalpha->m; + double*truthalpha = (double*) malloc(m * m * sizeof(double)); + double*estimatedalpha = (double*) malloc(m * m * sizeof(double)); + double*temp1 = (double*) malloc(m * m * sizeof(double)); + double*temp2 = (double*) malloc(m * m * sizeof(double)); + double*temp3 = (double*) malloc(m * m * sizeof(double)); + if (m == 1) { + truthalpha[0] = truth_theta[0]; + estimatedalpha[0] = estimated_theta[0]; + } + + if (m == 2) { + double truth_nu12 = 0.5 * (truth_theta[3] + truth_theta[4]); + double truth_rho = truth_theta[5] * sqrt((tgamma(truth_theta[3] + 1) * tgamma(truth_theta[4] + 1)) / + (tgamma(truth_theta[3]) * tgamma(truth_theta[4]))) * + tgamma(truth_nu12) / tgamma(truth_nu12 + 1); + + double estimated_nu12 = 0.5 * (estimated_theta[3] + estimated_theta[4]); + double estimated_rho = + estimated_theta[5] * sqrt((tgamma(estimated_theta[3] + 1) * tgamma(estimated_theta[4] + 1)) / + (tgamma(estimated_theta[3]) * tgamma(estimated_theta[4]))) * + tgamma(estimated_nu12) / tgamma(estimated_nu12 + 1); + + truthalpha[0] = truth_theta[0]; + estimatedalpha[0] = estimated_theta[0]; + + truthalpha[1] = truthalpha[3] = truth_rho + * sqrt(truth_theta[0] * truth_theta[1]); + + estimatedalpha[1] = estimatedalpha[3] = estimated_rho + * sqrt(estimated_theta[0] * estimated_theta[1]); + truthalpha[2] = truth_theta[1]; + estimatedalpha[2] = estimated_theta[1]; + + } + CHAMELEON_Lapack_to_Tile(truthalpha, m, CHAM_desctruthalpha); + CHAMELEON_Lapack_to_Tile(estimatedalpha, m, CHAM_descestimatedalpha); + + + char* name = malloc(strlen(data->kernel_fun) + 1); + strcpy(name, data->kernel_fun); + + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { + printf("TODO: running with Z=1 no more\n"); + data->kernel_fun = "bivariate_matern_parsimonious"; + } + + START_TIMING(matrix_gen1); + VERBOSE("Create CHAM_descK_a Covariance Matrix (MLOE-MMOM)....."); + + //(1)Generate the co-variance matrix descK_a + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAM_descK_a, &data->lobs, &data->lobs, &data->lm, estimated_theta, + data->dm, data->kernel_fun, msequence, mrequest); + VERBOSE(" Done.\n"); + STOP_TIMING(matrix_gen1); + + START_TIMING(matrix_gen2); + //(2)Generate the co-variance matrix descK_t + VERBOSE("Create CHAM_descK_t Covariance Matrix (MLOE-MMOM)....."); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAM_descK_t, &data->lobs, &data->lobs, &data->lm, truth_theta, data->dm, + data->kernel_fun, msequence, mrequest); + //CHAMELEON_Sequence_Wait(msequence); + VERBOSE(" Done.\n"); + STOP_TIMING(matrix_gen2); + + START_TIMING(cholesky1); + //(3)Cholesky factorization for the Co-variance matrix CHAM_descK_a + VERBOSE("Cholesky factorization of CHAM_descK_a (MLOE-MMOM) ....."); + int success = CHAMELEON_dpotrf_Tile_Async(ChamLower, CHAM_descK_a, msequence, mrequest); + SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); + VERBOSE(" Done.\n"); + STOP_TIMING(cholesky1); + flops = flops + FLOPS_DPOTRF(CHAM_descK_a->m); + + START_TIMING(cholesky2); + flops = flops + FLOPS_DPOTRF(CHAM_descK_t->m); + //(5)Cholesky factorization for the Co-variance matrix CHAM_descK_t + VERBOSE("Cholesky factorization of CHAM_descK_t (MLOE-MMOM) ....."); + success = CHAMELEON_dpotrf_Tile_Async(ChamLower, CHAM_descK_t, msequence, mrequest); + SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); + VERBOSE(" Done.\n"); + + STOP_TIMING(cholesky2); + + double total_loop_time = 0.0; + double loop_time = 0.0; + for (p = 0; p < nZmiss; p++) { + + lmiss.x[0] = data->lmiss.x[p]; + lmiss.y[0] = data->lmiss.y[p]; + + VERBOSE("Generate two vectors k_a and k_t (MLOE-MMOM)....."); + START_TIMING(vecs_gen); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, CHAM_desck_t, &data->lobs, &lmiss, &data->lm, truth_theta, + data->dm, data->kernel_fun, msequence, mrequest); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, CHAM_desck_a, &data->lobs, &lmiss, &data->lm, estimated_theta, + data->dm, data->kernel_fun, msequence, mrequest); + STOP_TIMING(vecs_gen); + + + //(6a)Copy CHAM_desck_a to CHAM_descK_atmp (MLOE-MMOM) + VERBOSE("(6a)Copy CHAM_desck_a to CHAM_descK_atmp (MLOE-MMOM)....."); + START_TIMING(copy_vecs); + CHAMELEON_dlacpy_Tile_Async(ChamUpperLower, CHAM_desck_t, CHAM_desck_ttmp, msequence, mrequest); + CHAMELEON_dlacpy_Tile_Async(ChamUpperLower, CHAM_desck_a, CHAM_desck_atmp, msequence, mrequest); + STOP_TIMING(copy_vecs); + VERBOSE(" Done.\n"); + + START_TIMING(loop_time); + START_TIMING(trsm1); + //(7) Triangular Solve (TRSM) k_a = TRSM(L_a^-1, k_a) + VERBOSE("Solving the linear system k_a = TRSM(l_a^-1, k_a) ...(MLOE-MMOM)\n"); + CHAMELEON_dtrsm_Tile_Async(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAM_descK_a, CHAM_desck_a, + msequence, mrequest); + VERBOSE(" Done.\n"); + flops = flops + FLOPS_DTRSM(ChamLeft, CHAM_descK_a->m, CHAM_desck_a->n); + STOP_TIMING(trsm1); + + START_TIMING(trsm2); + //(9) Triangular Solve (TRSM) k_t = TRSM(L_t^-1, k_t) + VERBOSE("(9)Solving the linear system k_t = TRSM(L_t^-1, k_t) ...(MLOE-MMOM)\n"); + CHAMELEON_dtrsm_Tile_Async(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAM_descK_t, CHAM_desck_t, + msequence, mrequest); + flops = flops + FLOPS_DTRSM(ChamLeft, CHAM_descK_t->m, CHAM_desck_t->n); + VERBOSE(" Done.\n"); + STOP_TIMING(trsm2); + + START_TIMING(trsm3); + //(8) Triangular Solve (TRSM) k_a = TRSM(L_a^-T, k_a) + VERBOSE("Solving the linear system k_a = TRSM(L_a^-T, k_a) ...(MLOE-MMOM)\n"); + CHAMELEON_dtrsm_Tile_Async(ChamLeft, ChamLower, ChamTrans, ChamNonUnit, 1, CHAM_descK_a, CHAM_desck_a, + msequence, mrequest); + flops = flops + FLOPS_DTRSM(ChamLeft, CHAM_descK_a->m, CHAM_desck_a->n); + VERBOSE(" Done.\n"); + STOP_TIMING(trsm3); + + START_TIMING(trsm4); + //(10) Triangular Solve (TRSM) k_t = TRSM(L_t^-T, k_t) + VERBOSE("(10)Solving the linear system k_t = TRSM(L_a^-T, k_t) ...(MLOE-MMOM)\n"); + CHAMELEON_dtrsm_Tile_Async(ChamLeft, ChamLower, ChamTrans, ChamNonUnit, 1, CHAM_descK_t, CHAM_desck_t, + msequence, mrequest); + flops = flops + FLOPS_DTRSM(ChamLeft, CHAM_descK_t->m, CHAM_desck_t->n); + VERBOSE(" Done.\n"); + STOP_TIMING(trsm4); + + START_TIMING(gevv2); + //(12) Calculate dgemm value= CHAM_desck_t^T * CHAM_desck_a + VERBOSE("(12)Calculate dgemm CHAM_descexpr1 = CHAM_desck_t^T * CHAM_desck_a... (MLOE-MMOM)"); + void *ws; + CHAMELEON_dgemm_Tile_Async(ChamTrans, ChamNoTrans, 1, CHAM_desck_ttmp, CHAM_desck_a, 0, CHAM_descexpr1, ws, + msequence, mrequest); + flops = flops + FLOPS_DGEMM(CHAM_desck_ttmp->m, CHAM_desck_a->n, CHAM_descexpr1->n); + VERBOSE(" Done.\n"); + STOP_TIMING(gevv2); + START_TIMING(gevv3); + //(13) Calculate dgemm value= CHAM_desck_a^T * CHAM_desck_atmp + VERBOSE("(13)Calculate dgemm CHAM_descexpr1 = CHAM_desck_a^T * CHAM_desck_a... (MLOE-MMOM)"); + CHAMELEON_dgemm_Tile_Async(ChamTrans, ChamNoTrans, 1, CHAM_desck_atmp, CHAM_desck_a, 0, CHAM_descexpr4, ws, + msequence, mrequest); + flops = flops + FLOPS_DGEMM(CHAM_desck_atmp->m, CHAM_desck_a->n, CHAM_descexpr4->n); + VERBOSE(" Done.\n"); + STOP_TIMING(gevv3); + + + START_TIMING(gevv1); + //(11) Calculate dgemm value= CHAM_desck_a^T * CHAM_desck_t + VERBOSE("(11)Calculate dgemm CHAM_descexpr4 = CHAM_desck_a^T * CHAM_desck_t... (Prediction Stage)"); + CHAMELEON_dgemm_Tile_Async(ChamTrans, ChamNoTrans, 1, CHAM_desck_ttmp, CHAM_desck_t, 0, CHAM_descexpr3, ws, + msequence, mrequest); + flops = flops + FLOPS_DGEMM(CHAM_desck_ttmp->m, CHAM_desck_t->n, CHAM_descexpr3->n); + VERBOSE(" Done.\n"); + STOP_TIMING(gevv1); + + //(14) Calculate dgemm CHAM_desck_a= CHAM_descK_t * CHAM_desck_a (use k_t as k_a) + VERBOSE("(14)Calculate 2dtrmm CHAM_desck_a = CHAM_descK_ttmp * CHAM_desck_a... (MLOE-MMOM)"); + //CHAMELEON_dgemm_Tile(ChamNoTrans, ChamNoTrans, 1, CHAM_descK_ttmp, CHAM_desck_a, 0, CHAM_desck_t); + START_TIMING(gevv4); + CHAMELEON_dtrmm_Tile_Async(ChamLeft, ChamLower, ChamTrans, ChamNonUnit, 1, CHAM_descK_t, CHAM_desck_a, + msequence, mrequest); + //CHAMELEON_dtrmm_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAM_descK_t, CHAM_desck_a); + flops = flops + FLOPS_DGEMM(CHAM_desck_ttmp->m, CHAM_desck_a->n, CHAM_desck_t->n); + VERBOSE(" Done.\n"); + STOP_TIMING(gevv4); + + START_TIMING(gevv5); + + // CHAMELEON_dtrmm_Tile_Async(ChamLeft, ChamLower, ChamTrans, ChamNonUnit, 1, CHAM_descK_t, CHAM_desck_atmp, msequence, mrequest); + //(13) Calculate dgemm value= CHAM_desck_a^T * CHAM_desck_t + VERBOSE("(17)Calculate dgemm CHAM_descexpr1 = CHAM_desck_a^T * CHAM_desck_a... (Prediction Stage)"); + CHAMELEON_dgemm_Tile_Async(ChamTrans, ChamNoTrans, 1, CHAM_desck_a, CHAM_desck_a, 0, CHAM_descexpr2, ws, + msequence, mrequest); + flops = flops + FLOPS_DGEMM(CHAM_desck_atmp->m, CHAM_desck_t->n, CHAM_descexpr2->n); + VERBOSE(" Done.\n"); + STOP_TIMING(gevv5); + + + STOP_TIMING(loop_time); + + total_loop_time += loop_time; + + CHAMELEON_dgeadd_Tile_Async(ChamNoTrans, 1, CHAM_desctruthalpha, -2, CHAM_descexpr1, msequence, mrequest); + CHAMELEON_dgeadd_Tile_Async(ChamNoTrans, 1, CHAM_descexpr1, 1, CHAM_descexpr2, msequence, mrequest); + + CHAMELEON_dgeadd_Tile_Async(ChamNoTrans, 1, CHAM_desctruthalpha, -1, CHAM_descexpr3, msequence, mrequest); + CHAMELEON_dgeadd_Tile_Async(ChamNoTrans, 1, CHAM_descestimatedalpha, -1, CHAM_descexpr4, msequence, mrequest); + + EXAGEOSTAT_MLE_dmloe_mmom_Tile_Async(CHAM_descexpr2, CHAM_descexpr3, CHAM_descexpr4, CHAM_descmloe, + CHAM_descmmom, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); + + } + // CHAMELEON_Sequence_Wait(msequence); +#if defined(CHAMELEON_USE_MPI) + if(CHAMELEON_My_Mpi_Rank() == 0) + { +#endif + printf("\nnZmiss = %d\n", nZmiss); + printf(" ----(MLOE-MMOM) Gflop/s: %6.2f\n", flops / 1e9 / (total_loop_time + cholesky1 + cholesky2)); +#if defined(CHAMELEON_USE_MPI) + } +#endif + data->mloe /= nZmiss; + data->mmom /= nZmiss; + STOP_TIMING(all_time); + free(loe); + free(mom); + free(lmiss.x); + + free(temp1); + free(temp2); + free(temp3); + free(estimatedalpha); + free(truthalpha); + FILE *pFile; +#if defined(CHAMELEON_USE_MPI) + if ( CHAMELEON_My_Mpi_Rank() == 0 ) + { +#endif + //output + results.mloe = data->mloe; + results.mmom = data->mmom; + printf("\nMMLOE = %f", data->mloe); + printf("\nMMOM = %f\n\n\n", data->mmom); + results.mloe_exec = "async"; + results.total_mloe_mmom_time = all_time; + results.matrix_gen_mloe_mmom_time = matrix_gen1 + matrix_gen2; + results.cho_fact_mloe_mmom_time = cholesky1 + cholesky2; + results.loop_mloe_mmom_time = total_loop_time; + results.total_mloe_mmom_flops = flops / 1e9 / (total_loop_time + cholesky1 + cholesky2); +#if defined(CHAMELEON_USE_MPI) + } +#endif + + fprintf(stderr, " ---- mloe_mmom Time: %6.2f seconds\n\n", all_time); + fprintf(stderr, " ---- gevv Time: %6.2f seconds\n\n", gevv4); +} + + +double*EXAGEOSTAT_Fisher_Tile(MLE_data *data, int N, double*initial_theta, int dts, int p_grid, int q_grid) { + CHAM_desc_t *CHAM_descA = NULL; + CHAM_desc_t *CHAM_descC = NULL; + CHAM_desc_t *CHAM_descCJ = NULL; + CHAM_desc_t *CHAM_descresult = NULL; + CHAM_desc_t *CHAM_descCK = NULL; + CHAM_desc_t *CHAM_descCdiag = NULL; + CHAM_desc_t *CHAM_descCtrace = NULL; + + double*A = (double*) calloc(9, sizeof(double)); + double time = 0.0; + double t = 0.0; + + VERBOSE("Allocate descriptor CHAM_descC (Fisher Matrix Generation)....."); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descA, NULL, ChamRealDouble, dts, dts, dts * dts, 3, 3, 0, 0, 3, 3, p_grid, + q_grid); + VERBOSE("...Done\n"); + + VERBOSE("Allocate descriptor CHAM_descC (Fisher Matrix Generation)....."); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descC, NULL, ChamRealDouble, dts, dts, dts * dts, N, N, 0, 0, N, N, p_grid, + q_grid); + VERBOSE("...Done\n"); + + VERBOSE("Allocate descriptor CHAM_descCJ (Fisher Matrix Generation)....."); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descCJ, NULL, ChamRealDouble, dts, dts, dts * dts, N, N, 0, 0, N, N, p_grid, + q_grid); + VERBOSE("...Done\n"); + + VERBOSE("Allocate descriptor CHAM_descCK (Fisher Matrix Generation)....."); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descCK, NULL, ChamRealDouble, dts, dts, dts * dts, N, N, 0, 0, N, N, p_grid, + q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descresult, NULL, ChamRealDouble, dts, dts, dts * dts, N, N, 0, 0, N, N, + p_grid, q_grid); + VERBOSE("...Done\n"); + + VERBOSE("Allocate descriptor CHAM_descCdiag (Fisher Matrix Generation)....."); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descCdiag, NULL, ChamRealDouble, dts, dts, dts * dts, N, 1, 0, 0, N, 1, + p_grid, q_grid); + VERBOSE("...Done\n"); + + VERBOSE("Allocate descriptor CHAM_descCtrace (Fisher Matrix Generation)....."); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descCtrace, &t, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, p_grid, + q_grid); + VERBOSE("...Done\n"); + + START_TIMING(time); + VERBOSE("Generate covariance matrix CHAM_descC (Fisher Matrix Generation)....."); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAM_descC, &data->l1, &data->l1, &data->lm, initial_theta, + data->dm, "univariate_matern_stationary", data->sequence, data->request); + VERBOSE("...Done\n"); + CHAMELEON_Sequence_Wait(data->sequence); + + VERBOSE("Calculate Cholesky decomposition (Fisher Matrix Generation)....."); + int success = CHAMELEON_dpotrf_Tile(ChamLower, CHAM_descC); + VERBOSE("...Done\n"); + + char* kernel = (double*) malloc(15 * sizeof(char)); + for (int j = 0; j < 3; j++) { + if (j == 0) { kernel = "univariate_matern_dsigma_square"; } + else if (j == 1) { kernel = "univariate_matern_dbeta"; } + else if (j == 2) { kernel = "univariate_matern_dnu"; } + + VERBOSE("Generate covariance matrix CHAM_descCJ (Fisher Matrix Generation)....."); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, CHAM_descCJ, &data->l1, &data->l1, &data->lm, initial_theta, + data->dm, kernel, data->sequence, data->request); + VERBOSE("...Done\n"); + CHAMELEON_Sequence_Wait(data->sequence); + + VERBOSE("Compute tringular solve CHAM_descCJ (Fisher Matrix Generation)....."); + CHAMELEON_dtrsm_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAM_descC, CHAM_descCJ); + CHAMELEON_dtrsm_Tile(ChamLeft, ChamLower, ChamTrans, ChamNonUnit, 1, CHAM_descC, CHAM_descCJ); + VERBOSE("...Done\n"); + + + for (int k = j; k < 3; k++) { + + if (k == 0) { kernel = "univariate_matern_dsigma_square"; } + + else if (k == 1) { kernel = "univariate_matern_dbeta"; } + + else if (k == 2) { kernel = "univariate_matern_dnu"; } + + VERBOSE("Generate covariance matrix CHAM_descCJ (Fisher Matrix Generation)....."); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, CHAM_descCK, &data->l1, &data->l1, &data->lm, initial_theta, + data->dm, kernel, data->sequence, data->request); + VERBOSE("...Done\n"); + CHAMELEON_Sequence_Wait(data->sequence); + + VERBOSE("Compute tringular solve CHAM_descCK (Fisher Matrix Generation)....."); + CHAMELEON_dtrsm_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAM_descC, CHAM_descCK); + CHAMELEON_dtrsm_Tile(ChamLeft, ChamLower, ChamTrans, ChamNonUnit, 1, CHAM_descC, CHAM_descCK); + VERBOSE("...Done\n"); + VERBOSE("Compute matrix-matrix multiplication CHAM_descCK (Fisher Matrix Generation)....."); + CHAMELEON_dgemm_Tile(ChamNoTrans, ChamNoTrans, 1, CHAM_descCJ, CHAM_descCK, 0, CHAM_descresult); + VERBOSE("...Done\n"); + + + VERBOSE("Compute the trace/diagonal of CHAM_descCK (Fisher Matrix Generation)....."); + EXAGEOSTAT_MLE_dtrace_Tile_Async(CHAM_descresult, data->sequence, data->request, CHAM_descCtrace, + CHAM_descCdiag); + VERBOSE("...Done\n"); + CHAMELEON_Sequence_Wait(data->sequence); + A[k + 3 * j] = 0.5 * t; + t = 0; + } + + } + + STOP_TIMING(time); + + VERBOSE("Copy A array to descriptor CHAM_descA (Fisher Matrix Generation)....."); + CHAMELEON_Lapack_to_Tile(A, 9, CHAM_descA); + VERBOSE("...Done\n"); + print_dmatrix("Fisher matrix", 3, 3, A, 3); + + VERBOSE("Calculate Cholesky decomposition (Fisher Matrix Generation)....."); + LAPACKE_dpotrf(LAPACK_COL_MAJOR, 'L', 3, A, 3); + VERBOSE("...Done\n"); + + + VERBOSE("Generate Identity Matrix (I) (Fisher Matrix Generation)....."); + double*I_matrix = (double*) calloc(9, sizeof(double)); + LAPACKE_dlaset(LAPACK_COL_MAJOR, 'L', 3, 3, 0, 1, I_matrix, 3); + VERBOSE("...Done\n"); + + cblas_dtrsm( + CblasColMajor, + CblasLeft, + CblasLower, + CblasNoTrans, + CblasNonUnit, + 3, 3, 1.0, A, 3, I_matrix, 3); + + cblas_dtrsm( + CblasColMajor, + CblasLeft, + CblasLower, + CblasTrans, + CblasNonUnit, + 3, 3, 1.0, A, 3, I_matrix, 3); + + print_dmatrix("Fisher matrix (inverse)", 3, 3, I_matrix, 3); + + results.fisher_00 = I_matrix[0]; + results.fisher_11 = I_matrix[4]; + results.fisher_22 = I_matrix[8]; + results.fisher_time = time; + + fprintf(stderr, " ---- Time to calculate Fisher matrix: %6.4f seconds\n", time); + + double*r = calloc(10, sizeof(double)); + + for (int i = 0; i < 9; i++) { + *(r + i) = I_matrix[i]; + } + + return (r); +} + + +//init Chameleon descriptors +void +EXAGEOSTAT_dmle_Call(MLE_data *data, int ncores, int gpus, int dts, int p_grid, int q_grid, int N, int nZobs, int nZmiss) +//! //Initiate CHAM and allocate different descriptors for +/*! CHAMELEON + * Returns MLE_data data with initial values and new descriptors locations. + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] ncores: number of CPU workers. + * @param[in] gpus: number of GPU workers. + * @param[in] dts: tile size (MB). + * @param[in] p_grid: p_grid in the case of distributed system. + * @param[in] q_grid: q_grid in the case of distributed system. + * @param[in] N: number of spatial locations. + * @param[in] nZobs: number of observed values (known observations). + * @param[in] nZmiss: number of missing values (unknown observations). + * */ +{ + + RUNTIME_sequence_t *msequence; + RUNTIME_request_t mrequest[2] = {CHAMELEON_SUCCESS, CHAMELEON_SUCCESS}; + CHAM_desc_t *CHAM_descC = NULL; + CHAM_desc_t *CHAM_descsubC11 = NULL; + CHAM_desc_t *CHAM_descsubC12 = NULL; + CHAM_desc_t *CHAM_descsubC22 = NULL; + CHAM_desc_t *CHAM_descZ = NULL; + CHAM_desc_t *CHAM_descZ1 = NULL; + CHAM_desc_t *CHAM_descZ2 = NULL; + CHAM_desc_t *CHAM_descZcpy = NULL; + CHAM_desc_t *CHAM_descproduct = NULL; + CHAM_desc_t *CHAM_descproduct1 = NULL; + CHAM_desc_t *CHAM_descproduct2 = NULL; + CHAM_desc_t *CHAM_descdet = NULL; + + // For ditributed system and should be removed + double*Zcpy = (double*) malloc(N * sizeof(double)); + + //Identifies a set of routines sharing common exception handling. + CHAMELEON_Sequence_Create(&msequence); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descC, NULL, ChamRealDouble, dts, dts, dts * dts, N, N, 0, 0, N, N, p_grid, + q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descZ, NULL, ChamRealDouble, dts, dts, dts * dts, N, 1, 0, 0, N, 1, p_grid, + q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descZcpy, Zcpy, ChamRealDouble, dts, dts, dts * dts, N, 1, 0, 0, N, 1, p_grid, + q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descproduct, &data->dotp, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, + 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descproduct1, &data->dotp1, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, + 1, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descproduct2, &data->dotp2, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, + 1, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descdet, &data->det, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, + p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descZ1, NULL, ChamRealDouble, dts, dts, dts * dts, N / 2, 1, 0, 0, N / 2, 1, + p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descZ2, NULL, ChamRealDouble, dts, dts, dts * dts, N / 2, 1, 0, 0, N / 2, 1, + p_grid, q_grid); + + + CHAM_descsubC11 = chameleon_desc_submatrix(CHAM_descC, 0, 0, CHAM_descC->m / 2, CHAM_descC->n / 2); + CHAM_descsubC12 = chameleon_desc_submatrix(CHAM_descC, CHAM_descC->m / 2, 0, CHAM_descC->m / 2, CHAM_descC->n / 2); + CHAM_descsubC22 = chameleon_desc_submatrix(CHAM_descC, CHAM_descC->m / 2, CHAM_descC->n / 2, CHAM_descC->m / 2, + CHAM_descC->n / 2); + + //Fill data struct + data->descC = CHAM_descC; + data->descsubC11 = CHAM_descsubC11; + data->descsubC12 = CHAM_descsubC12; + data->descsubC22 = CHAM_descsubC22; + data->descZ = CHAM_descZ; + data->descZ1 = CHAM_descZ1; + data->descZ2 = CHAM_descZ2; + data->descZcpy = CHAM_descZcpy; + data->descdet = CHAM_descdet; + data->descproduct = CHAM_descproduct; + data->descproduct1 = CHAM_descproduct1; + data->descproduct2 = CHAM_descproduct2; + data->sequence = msequence; + data->request = mrequest; + //stop gsl error handler + gsl_set_error_handler_off(); +} diff --git a/exageostat_exact/src/compute/MLE_exact.c b/exageostat_exact/src/compute/MLE_exact.c deleted file mode 100644 index 1f4d09b..0000000 --- a/exageostat_exact/src/compute/MLE_exact.c +++ /dev/null @@ -1,2473 +0,0 @@ -/** - * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology - * All rights reserved. - * - * ExaGeoStat is a software package provided by KAUST - **/ -/** - * - * @file MLE_exact.c - * - * ExaGeoStat exact computation main functions (i.e., generate synthetic dataset, evaluate ML function, and predication). - * - * @version 1.1.0 - * - * @author Sameh Abdulah - * @date 2020-06-06 - * - **/ -#include "../include/MLE_exact.h" -//*************************************************************************************** -void MORSE_MLE_dzvg_Tile (MLE_data *data, double * Nrand, double * initial_theta, int n, int dts, int log) - //! Generate Observations Vector (Z) for testing Maximum - /*! Likelihood function -- MORSE-sync - * Returns Z observation vector - * @param[in] data: MLE_data struct with different MLE inputs. - * @param[in] Nrand: A uniform random vector with size n that is used to generate Z . - * @param[in] initial_theta: Theta vector with three parameter (Variance, Range, Smoothness) - * that is used to to generate the Covariance Matrix. - * @param[in] n: Problem size (number spatial locations). - * @param[in] dts: tile size (MB) is used only in the case of HiCMA not MORSE. - * @param[in] log: equals one if the user needs to generate log files for his problem. - * */ -{ - MORSE_sequence_t *msequence = (MORSE_sequence_t *) data->sequence; - MORSE_request_t *mrequest = (MORSE_request_t *) data->request; - double* univariate_theta; - double* univariate2_theta; - double* univariate3_theta; - double nu12; - double rho; - double sigma_square12; - //In the case of testing mode, Z should be generated using Nrand and initial_theta - //if (test == 1) - //{ - //Generate the co-variance matrix C - VERBOSE("Initializing Covariance Matrix (Synthetic Dataset Generation Phase)....."); - //MORSE_MLE_dcmg_Tile_Async(MorseLower, data->descC, msequence, mrequest, &data->l1, &data->l1, initial_theta, data->dm); - if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) - { - - univariate_theta =(double *) malloc(3 * sizeof(double)); - univariate2_theta =(double *) malloc(3 * sizeof(double)); - univariate3_theta =(double *) malloc(3 * sizeof(double)); - univariate_theta[0]=initial_theta[0]; - univariate_theta[1]=initial_theta[2]; - univariate_theta[2]=initial_theta[3]; - - MORSE_MLE_dcmg_Tile_Async(MorseUpperLower, data->descsubC11, &data->l1, - &data->l1, &data->lm, univariate_theta, - data->dm, "univariate_matern_stationary", msequence, &mrequest[0]); - - - nu12 = 0.5 * (initial_theta[3] + initial_theta[4]); - rho = initial_theta[5] * sqrt( (tgamma(initial_theta[3] + 1)*tgamma(initial_theta[4] + 1)) / - (tgamma(initial_theta[3]) * tgamma(initial_theta[4])) ) * - tgamma(nu12) / tgamma(nu12 + 1); - sigma_square12 = rho * sqrt(initial_theta[0]*initial_theta[1]) ; - - univariate2_theta[0]=sigma_square12; - univariate2_theta[1]=initial_theta[2]; - univariate2_theta[2]=nu12; - - MORSE_MLE_dcmg_Tile_Async(MorseUpperLower, data->descsubC12, &data->l1, - &data->l1, &data->lm, univariate2_theta, - data->dm, "univariate_matern_stationary", msequence, &mrequest[0]); - - // MORSE_MLE_dcmg_Tile_Async(MorseLower, data->descsubC21, &data->l1, &data->l1, &data->lm, univariate2_theta, data->dm, "univariate_matern_stationary", msequence, &mrequest[0]); - - univariate3_theta[0]=initial_theta[1]; - univariate3_theta[1]=initial_theta[2]; - univariate3_theta[2]=initial_theta[4]; - MORSE_MLE_dcmg_Tile_Async(MorseUpperLower, data->descsubC22, &data->l1, &data->l1, - &data->lm, univariate3_theta, data->dm, - "univariate_matern_stationary", msequence, &mrequest[0]); - } - else if(strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) - { - MORSE_MLE_dcmg_Tile_Async(MorseLower, data->descC, &data->l1, - &data->l1, &data->lm, initial_theta, - data->dm, "univariate_matern_stationary", msequence, mrequest); - } - - else - { - printf("%s\n", data->kernel_fun); - MORSE_MLE_dcmg_Tile_Async(MorseLower, data->descC, &data->l1, - &data->l1, &data->lm, initial_theta, - data->dm, data->kernel_fun, msequence, mrequest); - } - - MORSE_Sequence_Wait(msequence); - VERBOSE(" Done.\n"); - // MORSE_Sequence_Wait(msequence); - //double sum=0; - // double *C = (double *) malloc(n * n * sizeof(double)); - // MORSE_Tile_to_Lapack( data->descC, C, n); - - //int i=0; - //for(i=0;idescC, C, n); - // print_dmatrix("testC", 16, 16, C, 16); - // exit(0); - - - // double *C = (double *) malloc(n * n * sizeof(double)); - // MORSE_Tile_to_Lapack( data->descC, C, n); - // print_dmatrix("testC", n, n, C, n); - //exit(0); - //Copy Nrand to Z - VERBOSE("Generate Normal Random Distribution Vector Z (Synthetic Dataset Generation Phase) ....."); - MORSE_MLE_dzcpy_Tile_Async(data->descZ, Nrand, msequence, mrequest); - VERBOSE(" Done.\n"); - - //Cholesky factorization for the Co-variance matrix C - VERBOSE("Cholesky factorization of Sigma (Synthetic Dataset Generation Phase) ....."); - int success = MORSE_dpotrf_Tile(MorseLower, data->descC); - //printf(" success=%d \n", success); - //exit(0); - SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); - VERBOSE(" Done.\n"); - //double *C = (double *) malloc(n * n * sizeof(double)); - //MORSE_Tile_to_Lapack( data->descC, C, n); - //print_dmatrix("testC", 16, 16, C, 16); - //exit(0); - - //Triangular matrix-matrix multiplication - VERBOSE("Triangular matrix-matrix multiplication Z=L.e (Synthetic Dataset Generation Phase) ....."); - MORSE_dtrmm_Tile(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, data->descC, data->descZ); - VERBOSE(" Done.\n"); - - //if log==1 write vector to disk - if(log==1) - { - double *z; - MORSE_desc_t *MORSE_descZ = (MORSE_desc_t *)(data->descZ); - VERBOSE("Writing generated data to the disk (Synthetic Dataset Generation Phase) ....."); -#if defined(CHAMELEON_USE_MPI) - z = (double *) malloc(n * sizeof(double)); - MORSE_Tile_to_Lapack( MORSE_descZ, z, n); - if ( MORSE_My_Mpi_Rank() == 0 ) - write_vectors(z, data, n); - free(z); -#else - z = MORSE_descZ->mat; - write_vectors(z, data, n); - free(z); -#endif - VERBOSE(" Done.\n"); - } - - /* } - else - { - double * streamdata; - streamdata=(double *) malloc(n * sizeof(double)); - - //Reading Observations from disk and copy it to data->descZ - VERBOSE("Reading Observations from disk ....."); - streamdata = readObsFile(data->obsFPath, n); - MORSE_MLE_dzcpy_Tile_Async(data->descZ, streamdata, msequence, mrequest); - MORSE_Sequence_Wait(data->sequence); - VERBOSE(" Done.\n"); - free(streamdata); - } - */ - MORSE_dlaset_Tile(MorseUpperLower, 0, 0, data->descC); - VERBOSE("Done Z Vector Generation Phase. (Chameleon Synchronous)\n"); - VERBOSE("************************************************************\n"); -} - - - -void MORSE_MLE_dzcpy( MLE_data *data, double *streamdata) - //! Copy measurements vector from Lapack - /*! format to Chameleon format. - * @param[in] data: MLE_data struct with different MLE inputs. - * @param[in] streamdata: measurments vector in lapack format. - * */ -{ - MORSE_sequence_t *msequence = (MORSE_sequence_t *) data->sequence; - MORSE_request_t *mrequest = (MORSE_request_t *) data->request; - VERBOSE("Copy Z from vector to decriptor.\n"); - MORSE_MLE_dzcpy_Tile_Async(data->descZ, streamdata, msequence, mrequest); - MORSE_Sequence_Wait(msequence); - VERBOSE("Done Z copying step.\n"); - VERBOSE("************************************************************\n"); -} - -void MORSE_MLE_dzvg_Tile_Async(MLE_data *data, double * Nrand, double * initial_theta, int n, int dts, int log) - //! Generate Observations Vector (Z) for testing Maximum - /*! Likelihood function -- MORSE-Async - * Returns Z observation vector - * @param[in] data: MLE_data struct with different MLE inputs. - * @param[in] Nrand: A uniform random vector with size n that is used to generate Z . - * @param[in] initial_theta: Theta vector with three parameter (Variance, Range, Smoothness) - * that is used to to generate the Covariance Matrix. - * @param[in] n: Problem size (number spatial locations). - * @param[in] dts: tile size (MB) is used only in the case of HiCMA not MORSE. - * @param[in] log: equals one if the user needs to generate log files for his problem. - * */ -{ - MORSE_sequence_t *msequence = (MORSE_sequence_t *) data->sequence; - MORSE_request_t *mrequest = (MORSE_request_t *) data->request; - //In the case of testing mode, Z should be generated using Nrand and initial_theta - // if (test ==1) - // { - //Generate the co-variance matrix C - VERBOSE("Initializing Covariance Matrix (Synthetic Dataset Generation Phase)....."); - //MORSE_MLE_dcmg_Tile_Async(MorseLower, data->descC, msequence, mrequest, &data->l1, &data->l1, initial_theta, data->dm); - MORSE_MLE_dcmg_Tile_Async(MorseLower, data->descC, &data->l1, - &data->l1, &data->lm, initial_theta, - data->dm, data->kernel_fun, msequence, mrequest); - VERBOSE(" Done.\n"); - - //Copy Nrand to Z - VERBOSE("Generate Normal Random Distribution Vector Z (Synthetic Dataset Generation Phase) ....."); - MORSE_MLE_dzcpy_Tile_Async(data->descZ, Nrand, msequence, mrequest); - VERBOSE(" Done.\n"); - - //Cholesky factorization for the Co-variance matrix C - VERBOSE("Cholesky factorization of Sigma (Synthetic Dataset Generation Phase) ....."); - int success = MORSE_dpotrf_Tile_Async(MorseLower, data->descC, msequence, mrequest); - SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); - VERBOSE(" Done.\n"); - - //Triangular matrix-matrix multiplication - VERBOSE("Triangular matrix-matrix multiplication Z=L.e (Synthetic Dataset Generation Phase) ....."); - MORSE_dtrmm_Tile_Async(MorseLeft, MorseLower, MorseNoTrans, - MorseNonUnit, 1, data->descC, - data->descZ, msequence, mrequest); - VERBOSE(" Done.\n"); - - //if log == 1 write vector to disk - if(log == 1) - { - double *z; - MORSE_desc_t *MORSE_descZ = (MORSE_desc_t *)(data->descZ); -#if defined(CHAMELEON_USE_MPI) - z = (double *) malloc(n * sizeof(double)); - MORSE_Tile_to_Lapack( MORSE_descZ, z, n); -#else - z = MORSE_descZ->mat; -#endif - write_vectors(z, data, n); - -#if defined(CHAMELEON_USE_MPI) - free(z); -#endif - } - - /* } - else - { - double * streamdata; - streamdata=(double *) malloc(n * sizeof(double)); - - //Reading Observations from disk and copy it to data->descZ - VERBOSE("Reading Observations from disk ....."); - streamdata = readObsFile(data->obsFPath, n); - MORSE_MLE_dzcpy_Tile_Async(data->descZ, streamdata, msequence, mrequest); - MORSE_Sequence_Wait(data->sequence); - VERBOSE(" Done.\n"); - free(streamdata); - } - */ - VERBOSE("Done Z Vector Generation Phase. (Chameleon Asynchronous)\n"); - VERBOSE("************************************************************\n"); -} - - - -double MORSE_dmle_Tile(unsigned n, const double * theta, double * grad, void * MORSE_data) { - //! Maximum Likelihood Evaluation (MLE) - /*! -- MORSE-sync - * Returns the loglikelihhod value for the given theta. - * @param[in] n: unsigned variable used by NLOPT library. - * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) - * that is used to to generate the Covariance Matrix. - * @param[in] grad: double variable used by NLOPT library. - * @param[in] MORSE_data: MLE_data struct with different MLE inputs. - * */ - //Initialization - double loglik=0.0, logdet=0.0, time_facto = 0.0, time_solve = 0.0, logdet_calculate = 0.0, matrix_gen_time=0.0, dzcpy_time=0.0; - - int N, NRHS, success, i, num_params; - double flops =0.0; - double* univariate_theta; - double* univariate2_theta; - double* univariate3_theta; - double nu12; - double rho; - double sigma_square12; - - MLE_data* data = ((MLE_data*)MORSE_data); - data->det = 0; - data->dotp = 0; - - MORSE_desc_t *MORSE_descC = (MORSE_desc_t *) data->descC; - MORSE_desc_t *MORSE_descsubC11 = (MORSE_desc_t *) data->descsubC11; - MORSE_desc_t *MORSE_descsubC12 = (MORSE_desc_t *) data->descsubC12; - //MORSE_desc_t *MORSE_descsubC21 = (MORSE_desc_t *) data->descsubC21; - MORSE_desc_t *MORSE_descsubC22 = (MORSE_desc_t *) data->descsubC22; - MORSE_desc_t *MORSE_descZ = (MORSE_desc_t *) data->descZ; - MORSE_desc_t *MORSE_descZ1 = (MORSE_desc_t *) data->descZ1; - MORSE_desc_t *MORSE_descZ2 = (MORSE_desc_t *) data->descZ2; - MORSE_desc_t *MORSE_descZcpy = (MORSE_desc_t *) data->descZcpy; - MORSE_desc_t *MORSE_descdet = (MORSE_desc_t *) data->descdet; - MORSE_desc_t *MORSE_descproduct = (MORSE_desc_t *) data->descproduct; - MORSE_desc_t *MORSE_descproduct1 = (MORSE_desc_t *) data->descproduct1; - MORSE_desc_t *MORSE_descproduct2 = (MORSE_desc_t *) data->descproduct2; - MORSE_sequence_t *msequence = (MORSE_sequence_t *) data->sequence; - MORSE_request_t *mrequest = (MORSE_request_t *) data->request; - - if(strcmp(data->kernel_fun, "univariate_matern_stationary") == 0 || strcmp(data->kernel_fun, "univariate_pow_exp_stationary") == 0 ) - num_params = 3; - else if(strcmp(data->kernel_fun, "univariate_matern_nuggets_stationary") == 0) - num_params = 4; - else if(strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) - num_params = 9; - else if(strcmp(data->kernel_fun, "bivariate_matern_flexible") == 0) - num_params = 11; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0) - num_params = 6; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0) - num_params = 6; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) - num_params = 6; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) - num_params = 6; - else if(strcmp(data->kernel_fun, "univariate_spacetime_matern_stationary") == 0) - num_params = 7; - else - { - fprintf(stderr,"Choosen kernel is not exist(2)!\n"); - fprintf(stderr, "Called function is: %s\n",__func__); - exit(0); - } - N = MORSE_descC->m; - NRHS = MORSE_descZ->n; - - - - START_TIMING(dzcpy_time); - if(data->iter_count==0) - //Save a copy of descZ into descZcpy for restoring each iteration (Only for the first iteration) - MORSE_dlacpy_Tile(MorseUpperLower, MORSE_descZ, MORSE_descZcpy); - if(strcmp(data->recovery_file,"") != 0 && recover(data->recovery_file, data->iter_count, theta, &loglik, num_params)); - else - { - START_TIMING(dzcpy_time); - if(data->iter_count==0) - //Save a copy of descZ into descZcpy for restoring each iteration (Only for the first iteration) - MORSE_dlacpy_Tile(MorseUpperLower, MORSE_descZ, MORSE_descZcpy); - else - { - VERBOSE("Re-store the original Z vector..."); - MORSE_dlacpy_Tile(MorseUpperLower ,MORSE_descZcpy,MORSE_descZ); - VERBOSE(" Done.\n"); - } - STOP_TIMING(dzcpy_time); - - // double *C = (double *) malloc(N * N * sizeof(double)); - - //Generate new co-variance matrix C based on new theta - VERBOSE("Generate New Covariance Matrix..."); - START_TIMING(matrix_gen_time); - //MORSE_MLE_dcmg_Tile_Async(MorseLower, MORSE_descC, msequence, &mrequest[0], &data->l1, &data->l1, (double *)theta, data->dm); - if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) - { - - univariate_theta =(double *) malloc(3 * sizeof(double)); - univariate2_theta =(double *) malloc(3 * sizeof(double)); - univariate3_theta =(double *) malloc(3 * sizeof(double)); - univariate_theta[0]=theta[0]; - univariate_theta[1]=theta[2]; - univariate_theta[2]=theta[3]; - - MORSE_MLE_dcmg_Tile_Async(MorseUpperLower, MORSE_descsubC11, &data->l1, - &data->l1, &data->lm, univariate_theta, data->dm, - "univariate_matern_stationary", msequence, &mrequest[0]); - - - nu12 = 0.5 * (theta[3] + theta[4]); - - rho = theta[5] * sqrt( (tgamma(theta[3] + 1)*tgamma(theta[4] + 1)) / - (tgamma(theta[3]) * tgamma(theta[4])) ) * - tgamma(nu12) / tgamma(nu12 + 1); - sigma_square12 = rho * sqrt(theta[0]*theta[1]) ; - - univariate2_theta[0]=sigma_square12; - univariate2_theta[1]=theta[2]; - univariate2_theta[2]=nu12; - MORSE_MLE_dcmg_Tile_Async(MorseUpperLower, MORSE_descsubC12, &data->l1, - &data->l1, &data->lm, univariate2_theta, - data->dm, "univariate_matern_stationary", msequence, &mrequest[0]); - - //MORSE_Sequence_Wait(msequence); - STOP_TIMING(matrix_gen_time); - VERBOSE(" Done.\n"); - - univariate3_theta[0]=theta[1]; - univariate3_theta[1]=theta[2]; - univariate3_theta[2]=theta[4]; - MORSE_MLE_dcmg_Tile_Async(MorseUpperLower, MORSE_descsubC22, &data->l1, - &data->l1, &data->lm, univariate3_theta, - data->dm, "univariate_matern_stationary", msequence, &mrequest[0]); - //MORSE_Sequence_Wait(msequence); - } - else - MORSE_MLE_dcmg_Tile_Async(MorseLower, MORSE_descC, &data->l1, - &data->l1, &data->lm, (double *)theta, data->dm, - data->kernel_fun, msequence, &mrequest[0]); - - MORSE_Sequence_Wait(msequence); - STOP_TIMING(matrix_gen_time); - VERBOSE(" Done.\n"); - - // double *C = (double *) malloc(N * N * sizeof(double)); - // MORSE_Tile_to_Lapack( data->descC, C, N); - // print_dmatrix("testC", N, N, C, N); - //exit(0); - - //MORSE_MLE_dprint_Tile_Async(MORSE_descC, msequence, &mrequest[0]); - // MORSE_Sequence_Wait(msequence); - //exit(0); - - //exit(0); - //Calculate Cholesky Factorization (C=LL-1) - VERBOSE("Cholesky factorization of Sigma..."); - START_TIMING(time_facto); - success = MORSE_dpotrf_Tile(MorseLower, MORSE_descC); - STOP_TIMING(time_facto); - SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); - flops = flops + FLOPS_DPOTRF(N); - VERBOSE(" Done.\n"); - - - //double *C = (double *) malloc(N * N * sizeof(double)); - //MORSE_Tile_to_Lapack( MORSE_descC, C, N); - //print_dmatrix("testC", 16, 16, C, 16); - - //********************************************* - //you need to generate the full matrix - /*MORSE_desc_t *MORSE_descC2 = NULL; - MORSE_desc_t *MORSE_descC3 = NULL; - MORSE_desc_t *MORSE_descC4 = NULL; - MORSE_Sequence_Wait(msequence); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC2,NULL , MorseRealDouble, 560, 560, 560 * 560, N, N, 0, 0, N, N, 1, 1); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC4,NULL , MorseRealDouble, 560, 560, 560 * 560, N, N, 0, 0, N, N, 1, 1); - MORSE_dlaset_Tile(MorseUpperLower, 0, 0, MORSE_descC4); - MORSE_dlacpy_Tile(MorseLower ,MORSE_descC,MORSE_descC4); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC3,NULL , MorseRealDouble, 560, 560, 560 * 560, N, N, 0, 0, N, N, 1, 1); - MORSE_MLE_dcmg_Tile_Async(MorseLower, MORSE_descC2, msequence, &mrequest[0], &data->l1, &data->l1, (double *)theta, data->dm); - MORSE_Sequence_Wait(msequence); - MORSE_dgemm_Tile (MorseNoTrans, MorseTrans, 1, MORSE_descC4, MORSE_descC4, 0, MORSE_descC3); - - double error=0; - double norm_c=0; - MORSE_dgeadd_Tile_Async( MorseTrans, 1.0, MORSE_descC2 - ,-1.0, MORSE_descC3, msequence, &mrequest[0] ); - MORSE_Sequence_Wait(msequence); - MORSE_dlange_Tile_Async( MorseFrobeniusNorm, - MORSE_descC3, &error, msequence, &mrequest[0] - ); - MORSE_Sequence_Wait(msequence); - MORSE_dlange_Tile_Async( MorseFrobeniusNorm, - MORSE_descC2, &norm_c, msequence, &mrequest[0] - ); - - - MORSE_Sequence_Wait(msequence); - printf("error: %e\n", (error/norm_c)); - exit(0); - */ - //*************************************** - //MORSE_Tile_to_Lapack( MORSE_descC, C, N); - //print_dmatrix("testC", 16, 16, C, 16); - //exit(0); - //MORSE_MLE_dprint_Tile_Async(MORSE_descC, msequence, &mrequest[0]); - //MORSE_Sequence_Wait(msequence); - //exit(0); - - //Calculate log(|C|) --> log(square(|L|)) - VERBOSE("Calculating the log determinant ..."); - START_TIMING(logdet_calculate); - MORSE_MLE_dmdet_Tile_Async(MORSE_descC, msequence, &mrequest[0], MORSE_descdet); - MORSE_Sequence_Wait(msequence); - // printf("det: %f\n", data->det); - logdet= 2*data->det; - STOP_TIMING(logdet_calculate); - VERBOSE(" Done.\n"); - - // printf("logdet: %f\n",logdet); - - - // double *C = (double *) malloc(N * N * sizeof(double)); - // MORSE_Tile_to_Lapack( MORSE_descC, C, N); - // print_dmatrix("testC", 70, 70, C, 70); - // double *zz = MORSE_descZ->mat; - // int k=0; - //for(k=0;kinv(L)*Z - VERBOSE("Solving the linear system ...\n"); - START_TIMING(time_solve); - MORSE_dtrsm_Tile(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, MORSE_descC, MORSE_descZ); - STOP_TIMING(time_solve); - flops = flops + FLOPS_DTRSM(MorseLeft,N, NRHS); - VERBOSE(" Done.\n"); - - //double *zz = MORSE_descZ->mat; - // int k=0; - // for(k=0;kkernel_fun, "bivariate_matern_parsimonious2_profile") == 0 ) - { - - loglik = -(N /2) + (N /2)*log (N) -(N / 2 ) * log(data->dotp) - 0.5*logdet - (double) (N / 2.0) * log(2.0 * PI); - MORSE_dgemm_Tile (MorseTrans, MorseNoTrans, 1, MORSE_descZ1, MORSE_descZ1, 0, MORSE_descproduct1); - MORSE_dgemm_Tile (MorseTrans, MorseNoTrans, 1, MORSE_descZ2, MORSE_descZ2, 0, MORSE_descproduct2); - data->variance1 = (1.0/(N/2)) * data->dotp1; - data->variance2 = (1.0/(N/2)) * data->dotp2; - - /* loglik = -(N /2) + (N /2)*log (N) -(N / 2 ) * log(data->dotp) - 0.5*logdet - (double) (N / 2.0) * log(2.0 * PI); - double *z = (double *) malloc(N * sizeof(double)); - double *z1 = (double *) malloc((N/2) * sizeof(double)); - double *z2 = (double *) malloc((N/2) * sizeof(double)); - int dts=320; - int p_grid=1; - int q_grid=1; - MORSE_desc_t *MORSE_descZ1p; - MORSE_desc_t *MORSE_descZ2p; - - MORSE_Tile_to_Lapack( MORSE_descZ, z, N); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZ1p, NULL, MorseRealDouble, dts, dts, dts * dts, N/2, 1, 0, 0, N/2, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZ2p, NULL, MorseRealDouble, dts, dts, dts * dts, N/2, 1, 0, 0, N/2, 1, p_grid, q_grid); - int i=0; - int j=0; - - - for(i=0;ivariance1 = (1.0/(N/2)) * data->dotp1; - data->variance2 = (1.0/(N/2)) * data->dotp2; - */ - } - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) - { - - loglik = -(N /2) + (N /2)*log (N) -(N / 2 ) * log(data->dotp) - 0.5*logdet - (double) (N / 2.0) * log(2.0 * PI); - - //to be optimized - MORSE_stride_vec_Tile_Async(MORSE_descZ, MORSE_descZ1, MORSE_descZ2, msequence, &mrequest[0]); - //MORSE_Sequence_Wait(msequence); - //double *z = (double *) malloc(N * sizeof(double)); - //MORSE_Tile_to_Lapack( MORSE_descZ, z, N); - //MORSE_Lapack_to_Tile( z, N/2, MORSE_descZ1); - //MORSE_Lapack_to_Tile( &z[N/2], N/2, MORSE_descZ2); - //********************************* - MORSE_dgemm_Tile (MorseTrans, MorseNoTrans, 1, MORSE_descZ1, MORSE_descZ1, 0, MORSE_descproduct1); - MORSE_dgemm_Tile (MorseTrans, MorseNoTrans, 1, MORSE_descZ2, MORSE_descZ2, 0, MORSE_descproduct2); - data->variance1 = (1.0/(N/2)) * data->dotp1; - data->variance2 = (1.0/(N/2)) * data->dotp2; - //free(z); - /* loglik = -(N /2) + (N /2)*log (N) -(N / 2 ) * log(data->dotp) - 0.5*logdet - (double) (N / 2.0) * log(2.0 * PI); - double *z = (double *) malloc(N * sizeof(double)); - double *z1 = (double *) malloc((N/2) * sizeof(double)); - double *z2 = (double *) malloc((N/2) * sizeof(double)); - int dts=320; - int p_grid=1; - int q_grid=1; - MORSE_desc_t *MORSE_descZ1p; - MORSE_desc_t *MORSE_descZ2p; - - MORSE_Tile_to_Lapack( MORSE_descZ, z, N); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZ1p, NULL, MorseRealDouble, dts, dts, dts * dts, N/2, 1, 0, 0, N/2, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZ2p, NULL, MorseRealDouble, dts, dts, dts * dts, N/2, 1, 0, 0, N/2, 1, p_grid, q_grid); - int i=0; - int j=0; - - - for(i=0;ivariance1 = (1.0/(N/2)) * data->dotp1; - data->variance2 = (1.0/(N/2)) * data->dotp2; - */ - - } - else - { - - loglik = -0.5 * data->dotp - 0.5*logdet - (double) (N / 2.0) * log(2.0 * PI); - data->variance= theta[0]; - } - VERBOSE(" Done.\n"); - - } - - //Distribute the values in the case of MPI -#if defined(CHAMELEON_USE_MPI) - MPI_Bcast(&loglik, 1, MPI_DOUBLE, 0, MPI_COMM_WORLD ); - //MPI_Bcast(theta, num_params, MPI_DOUBLE, 0, MPI_COMM_WORLD ); - if(MORSE_My_Mpi_Rank() == 0) - { -#endif - - // if(strcmp(data->checkpoint_file,"") != 0) - // checkpointing(data->checkpoint_file, data->iter_count, theta, loglik, num_params); - - - //Print Iteration Summary - //fprintf(stderr,"***************************************************\n"); - // fprintf(stderr,"\n------ddotproduct: %.17g ", data->dotp); - // fprintf(stderr,"\n------logdet: %.17g ", logdet); - //fprintf(stderr,"------det: %.*e ", det); - //fprintf(stderr,"\n------expr2: %.8f \n",((double) (N / 2) * log(2 * PI))); - //fprintf(stderr," ---- Theta1: %.8f ---- Theta2: %.8f ---- Theta3: %.8f ----LogLi: %.8f\n", theta[0], theta[1], theta[2],loglik); - //reformat - - printf(" %3d- Model Parameters (", data->iter_count+1); - - if(data->log == 1) - fprintf(data->pFileLog, " %3d- Model Parameters (", data->iter_count+1); - - if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0 || strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) - { - printf("%.8f, %.8f,", data->variance1, data->variance2); - if(data->log == 1) - fprintf(data->pFileLog,"%.8f, %.8f,", data->variance1, data->variance2); - i = 2; - results.estimated_theta[0] = data->variance1; - results.estimated_theta[1] = data->variance2; - } - else - i=0; - for(;ilog == 1) - fprintf(data->pFileLog,"%.8f, ", theta[i]); - } - - printf(")----> LogLi: %.18f\n", loglik); - if(data->log == 1) - fprintf(data->pFileLog, ")----> LogLi: %.18f\n", loglik); - - - printf(" ---- Facto Time: %6.2f\n", time_facto); - printf(" ---- logdet Time: %6.2f\n", logdet_calculate); - printf(" ---- dtrsm Time: %6.2f\n", time_solve); - printf(" ---- Matrix Generation Time: %6.2f\n", matrix_gen_time); - //fprintf(stderr," ---- re-store Z Vector Time: %6.2f\n", zcpy_time); - printf(" ---- Total Time: %6.2f\n", matrix_gen_time+ time_facto + logdet_calculate + time_solve); - //fprintf(stderr," ---- Gflop (ignore): %6.2f\n", flops / 1e9 ); - printf(" ---- Gflop/s: %6.2f\n", flops / 1e9 / (time_facto + time_solve)); - //fprintf(stderr," ---- Peak Performance: %6.2f Gflops/s\n", (ncores*p_grid*q_grid*16*2.3) ); - //fprintf(stderr,"***************************************************\n"); - -#if defined(CHAMELEON_USE_MPI) - } -#endif - - data->iter_count++; - // for experiments - data->avg_exec_time_per_iter+=/*matrix_gen_time*/+time_facto + logdet_calculate + time_solve; - data->avg_flops_per_iter+=flops / 1e9 / (time_facto +time_solve); - data->final_loglik=loglik; - - //output - results.final_loglik=loglik; - - - return loglik; -} - -double MORSE_dmle_Tile_Async(unsigned n, const double * theta, double * grad, void * MORSE_data) { - //! Maximum Likelihood Evaluation (MLE) - /*! -- MORSE-Async - * Returns the loglikelihhod value for the given theta. - * @param[in] n: unsigned variable used by NLOPT library. - * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) - * that is used to to generate the Covariance Matrix. - * @param[in] grad: double variable used by NLOPT library. - * @param[in] MORSE_data: MLE_data struct with different MLE inputs. - * */ - //Initialization - double loglik=0.0, logdet=0.0, time_facto = 0.0, time_solve = 0.0, logdet_calculate = 0.0, matrix_gen_time=0.0, dzcpy_time=0.0, flops = 0.0; - int N, NRHS, success; - - MLE_data* data = ((MLE_data*)MORSE_data); - data->det = 0; - data->dotp = 0; - - MORSE_desc_t *MORSE_descC = (MORSE_desc_t *) data->descC; - MORSE_desc_t *MORSE_descZ = (MORSE_desc_t *) data->descZ; - MORSE_desc_t *MORSE_descZcpy = (MORSE_desc_t *) data->descZcpy; - MORSE_desc_t *MORSE_descdet = (MORSE_desc_t *) data->descdet; - MORSE_desc_t *MORSE_descproduct = (MORSE_desc_t *) data->descproduct; - MORSE_sequence_t *msequence = (MORSE_sequence_t *) data->sequence; - MORSE_request_t *mrequest = (MORSE_request_t *) data->request; - - N = MORSE_descC->m; - NRHS = MORSE_descZ->n; - START_TIMING(dzcpy_time); - if(data->iter_count == 0) - //Save a copy of descZ into descZcpy for restoring each iteration (Only for the first iteration) - MORSE_dlacpy_Tile_Async(MorseUpperLower, MORSE_descZ, MORSE_descZcpy, msequence, mrequest); - else - { - VERBOSE("re-store the original Z vector..."); - MORSE_dlacpy_Tile_Async(MorseUpperLower, MORSE_descZcpy, MORSE_descZ, msequence, mrequest); - VERBOSE(" Done.\n"); - } - STOP_TIMING(dzcpy_time); - - - //Generate new co-variance matrix C based on new theta - VERBOSE("Generate New Covariance Matrix..."); - START_TIMING(matrix_gen_time); - //MORSE_MLE_dcmg_Tile_Async(MorseLower, MORSE_descC, msequence, mrequest, &data->l1, &data->l1,(double*) theta, data->dm); - MORSE_MLE_dcmg_Tile_Async(MorseLower, MORSE_descC, &data->l1, &data->l1, &data->lm, (double *)theta, data->dm, data->kernel_fun, msequence, &mrequest[0]); - MORSE_Sequence_Wait(msequence); - STOP_TIMING(matrix_gen_time); - VERBOSE(" Done.\n"); - - //Calculate Cholesky Factorization (C=LL-1) - VERBOSE("Cholesky factorization of Sigma..."); - START_TIMING(time_facto); - success = MORSE_dpotrf_Tile_Async(MorseLower, MORSE_descC, msequence, mrequest); - STOP_TIMING(time_facto); - SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); - flops = flops + FLOPS_DPOTRF(N); - VERBOSE(" Done.\n"); - - //Calculate log(|C|) --> log(square(|L|)) - VERBOSE("Calculating the log determinant ..."); - START_TIMING(logdet_calculate); - MORSE_MLE_dmdet_Tile_Async(MORSE_descC, msequence, &mrequest[0],MORSE_descdet); - MORSE_Sequence_Wait(msequence); - logdet= 2*data->det; - STOP_TIMING(logdet_calculate); - VERBOSE(" Done.\n"); - - //Solving Linear System (L*X=Z)--->inv(L)*Z - VERBOSE("Solving the linear system ...\n"); - START_TIMING(time_solve); - MORSE_dtrsm_Tile_Async(MorseLeft,MorseLower,MorseNoTrans,MorseNonUnit,1,MORSE_descC,MORSE_descZ, msequence, mrequest); - STOP_TIMING(time_solve); - flops = flops + FLOPS_DTRSM(MorseLeft,N, NRHS); - VERBOSE(" Done.\n"); - - //Claculate MLE likelihood - VERBOSE("Calculating the MLE likelihood function ..."); - MORSE_dgemm_Tile_Async (MorseTrans, MorseNoTrans, 1, MORSE_descZ, MORSE_descZ, 0, MORSE_descproduct, msequence, mrequest); - loglik = -0.5 * data->dotp - 0.5*logdet - (double) (N / 2.0) * log(2.0 * PI); - VERBOSE(" Done.\n"); - - //Distribute the values in the case of MPI -#if defined(CHAMELEON_USE_MPI) - MPI_Bcast(&loglik,1, MPI_DOUBLE, 0, MPI_COMM_WORLD ); - MPI_Bcast(theta,3, MPI_DOUBLE, 0, MPI_COMM_WORLD ); - if(MORSE_My_Mpi_Rank() == 0) - { -#endif - //Print Iteration Summary - //fprintf(stderr,"***************************************************\n"); - fprintf(stderr,"------ddotproduct: %.8f ", data->dotp); - fprintf(stderr,"------logdet: %.8f ", logdet); - //fprintf(stderr,"------det: %.*e ", det); - fprintf(stderr,"------expr2: %.8f ",((double) (N / 2) * log(2 * PI))); - //fprintf(stderr," ---- Theta1: %.8f ---- Theta2: %.8f ---- Theta3: %.8f ----LogLi: %.8f\n", theta[0], theta[1], theta[2],loglik); - //reformat - fprintf(stderr," %3d- Model Parameters (variance, range, smoothness): (%.8f, %.8f, %.8f) ----> LogLi: %.8f\n", data->iter_count+1, theta[0], theta[1], theta[2],loglik); - - if(data->log == 1) - fprintf(data->pFileLog, " %3d- Model Parameters (variance, range, smoothness): (%.8f, %.8f, %.8f) ----> LogLi: %.8f\n", data->iter_count+1, theta[0], theta[1], theta[2],loglik); - - fprintf(stderr," ---- Facto Time: %6.2f\n", time_facto); - fprintf(stderr," ---- logdet Time: %6.2f\n", logdet_calculate); - fprintf(stderr," ---- dtrsm Time: %6.2f\n", time_solve); - fprintf(stderr," ---- Matrix Generation Time: %6.2f\n", matrix_gen_time); - //fprintf(stderr," ---- re-store Z Vector Time: %6.2f\n", dzcpy_time); - fprintf(stderr," ---- Total Time: %6.2f\n", matrix_gen_time+time_facto + logdet_calculate + time_solve); - //fprintf(stderr," ---- Gflop (ignore): %6.2f\n", flops / 1e9 ); - //fprintf(stderr," ---- Gflop/s: %6.2f\n", flops / 1e9 / (time_facto + time_solve)); - //fprintf(stderr," ---- Peak Performance: %6.2f Gflops/s\n", (ncores*p_grid*q_grid*16*2.3) ); - //fprintf(stderr,"***************************************************\n"); -#if defined(CHAMELEON_USE_MPI) - } -#endif - - data->iter_count++; - // for experiments - data->avg_exec_time_per_iter+=matrix_gen_time+time_facto + logdet_calculate + time_solve; - data->avg_flops_per_iter+=flops / 1e9 / (time_facto +time_solve); - data->final_loglik=loglik; - - return loglik; -} - - -void MORSE_dmle_Predict_Allocate(MLE_data *MORSE_data, int nZmiss, int nZobs, int dts, int p_grid, int q_grid, int mse_flag) - //! Allocate prediction operation descriptors. - /*! - * Returns MLE_data data with initial values and new descriptors locations. - * @param[in] MORSE_data: MLE_data struct with different MLE inputs. - * @param[in] nZmiss: number of missing values (unknown observations). - * @param[in] nZobs: number of observed values (known observations). - * @param[in] dts: tile size (MB). - * @param[in] p_grid: p_grid in the case of distributed system. - * @param[in] q_grid: q_grid in the case of distributed system. - * @param[in] mse_flag: flag to enable or disable Mean Square Error (MSE) computing. - * */ -{ - - MORSE_desc_t *MORSE_descZmiss = NULL; - MORSE_desc_t *MORSE_descC12 = NULL; - MORSE_desc_t *MORSE_descC22 = NULL; - MORSE_desc_t *MORSE_descmse = NULL; - MORSE_desc_t *MORSE_descmse1 = NULL; - MORSE_desc_t *MORSE_descmse2 = NULL; - MORSE_desc_t *MORSE_descZactual = NULL; - MORSE_desc_t *MORSE_descZobs = NULL; - MLE_data *data = (MLE_data*) MORSE_data; - - if(nZmiss <= 0) - { - fprintf(stderr," Number of missing values should be positive value\n"); - return; - } - - //bi-variate case - if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0 || - strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0 || - strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || - strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0 || - strcmp(data->kernel_fun, "bivariate_matern_flexible") == 0 || - strcmp(data->kernel_fun, "bivariate_matern_flexible_profile") == 0 || - strcmp(data->kernel_fun, "bivariate_matern_flexible2") == 0 || - strcmp(data->kernel_fun, "bivariate_matern_flexible2_profile") == 0 ) - { - - nZobs*=2; - nZmiss*=2; - - } - - - //Descriptors Creation - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZobs, NULL, MorseRealDouble, dts, dts, dts * dts, nZobs, 1, 0, 0, nZobs, 1, p_grid, q_grid); - if( mse_flag == 1) - { - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZactual, NULL, MorseRealDouble, dts, dts, dts * dts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descmse, &data->mserror, MorseRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descmse1, &data->mserror1, MorseRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descmse2, &data->mserror2, MorseRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, p_grid, q_grid); - } - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZmiss, NULL, MorseRealDouble, dts, dts, dts * dts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC12, NULL, MorseRealDouble, dts, dts, dts * dts, nZmiss, nZobs, 0, 0, nZmiss, nZobs, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC22, NULL, MorseRealDouble, dts, dts, dts * dts, nZobs, nZobs, 0, 0, nZobs, nZobs, p_grid, q_grid); - - //Initiate data descriptors - data->descZmiss = MORSE_descZmiss; - data->descC12 = MORSE_descC12; - data->descC22 = MORSE_descC22; - data->descmse = MORSE_descmse; - data->descmse1 = MORSE_descmse1; - data->descmse2 = MORSE_descmse2; - data->descZactual = MORSE_descZactual; - data->descZobs = MORSE_descZobs; - - //printf("%d- %d - %d\n", MORSE_descC12->m, MORSE_descC12->n, MORSE_descZobs->m); - //exit(0); - -} - - -double MORSE_dmle_Predict_Tile(MLE_data *MORSE_data, double * theta, int nZmiss, int nZobs, double *Zobs, double *Zactual, double *Zmiss, int n) - //! //Predict missing values base on a set of given values and covariance matrix - /*! -- MORSE-sync - * Returns the prediction Mean Square Error (MSE) as double - * @param[in] MORSE_data: MLE_data struct with different MLE inputs. - * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) - * that is used to to generate the Covariance Matrix. - * @param[in] nZmiss: number of missing values (unknown observations). - * @param[in] nZobs: number of observed values (known observations). - * @param[in] Zobs: observed values vector (known observations). - * @param[in] Zmiss missing values vector (unknown observations). - * @param[in] Zactual: actual missing values vector (in the case of testing MSE). - * @param[in] n: number of spatial locations. - * */ -{ - - //initialization - //double *z = NULL, *streamdata = NULL; - double time_solve = 0.0; - double mat_gen_time = 0.0; - double time_gemm = 0.0; - double time_mse = 0.0; - double flops = 0.0; - int num_params = 0; - - MORSE_desc_t *MORSE_descZmiss = NULL; - MORSE_desc_t *MORSE_descC12 = NULL; - MORSE_desc_t *MORSE_descC22 = NULL; - MORSE_desc_t *MORSE_descmse = NULL; - MORSE_desc_t *MORSE_descmse1 = NULL; - MORSE_desc_t *MORSE_descmse2 = NULL; - MORSE_desc_t *MORSE_descZactual = NULL; - MORSE_desc_t *MORSE_descZobs = NULL; - MLE_data *data = (MLE_data*) MORSE_data; - MORSE_sequence_t *msequence = (MORSE_sequence_t *) data->sequence; - MORSE_request_t *mrequest = (MORSE_request_t *) data->request; - data->mserror = 0; - - if(nZmiss <= 0) - { - fprintf(stderr," Number of missing values should be positive value\n"); - return -1; - } - - if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) - { - data->kernel_fun= "bivariate_matern_parsimonious"; - } - //Descriptors Creation - //EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZobs, NULL, MorseRealDouble, dts, dts, dts * dts, nZobs, 1, 0, 0, nZobs, 1, p_grid, q_grid); - //if( Zactual != NULL) - //{ - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZactual, NULL, MorseRealDouble, dts, dts, dts * dts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descmse, &data->mserror, MorseRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, p_grid, q_grid); - //} - //EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZmiss, NULL, MorseRealDouble, dts, dts, dts * dts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - //EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC12, NULL, MorseRealDouble, dts, dts, dts * dts, nZmiss, nZobs, 0, 0, nZmiss, nZobs, p_grid, q_grid); - //EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC22, NULL, MorseRealDouble, dts, dts, dts * dts, nZobs, nZobs, 0, 0, nZobs, nZobs, p_grid, q_grid); - - //Initiate data descriptors - MORSE_descZmiss = data->descZmiss; - MORSE_descC12 = data->descC12; - MORSE_descC22 = data->descC22; - MORSE_descmse = data->descmse; - MORSE_descmse1 = data->descmse1; - MORSE_descmse2 = data->descmse2; - MORSE_descZactual = data->descZactual; - MORSE_descZobs = data->descZobs; - - //Copy data to vectors - VERBOSE("Copy measurments vector to descZobs descriptor..."); - //MORSE_MLE_dzcpy_Tile_Async(MORSE_descZobs, Zobs, msequence, mrequest); - MORSE_Lapack_to_Tile( Zobs, nZobs, MORSE_descZobs); - VERBOSE(" Done.\n"); - - if( Zactual != NULL) - { - VERBOSE("Copy actual measurments vector to descZactual descriptor..."); - //MORSE_MLE_dzcpy_Tile_Async(MORSE_descZactual, Zactual, msequence, mrequest); - MORSE_Lapack_to_Tile( Zactual, nZmiss, MORSE_descZactual); - VERBOSE(" Done.\n"); - } - - MORSE_Sequence_Wait(msequence); - - - // int i=0; - // for (i=0;ilmiss.x[i], data->lmiss.y[i], Zactual[i]); - - //printf("\n\n"); - - // for (i=0;i<100;i++) - // printf("%f, %f, %f\n", data->lobs.x[i], data->lobs.y[i], Zobs[i]); - - //#if defined(CHAMELEON_USE_MPI) - // MPI_Bcast(&data->variance,1, MPI_DOUBLE, 0, MPI_COMM_WORLD ); - //#endif - //theta[0]=data->variance; - if(strcmp(data->kernel_fun, "univariate_matern_stationary") == 0 || strcmp(data->kernel_fun, "univariate_pow_exp_stationary") == 0 ) - num_params = 3; - else if(strcmp(data->kernel_fun, "univariate_matern_nuggets_stationary") == 0) - num_params = 4; - else if(strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) - num_params = 9; - else if(strcmp(data->kernel_fun, "bivariate_matern_flexible") == 0) - num_params = 11; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0) - num_params = 6; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0) - num_params = 6; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) - num_params = 6; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) - num_params = 6; - else if(strcmp(data->kernel_fun, "univariate_spacetime_matern_stationary") == 0) - num_params = 7; - else - { - fprintf(stderr,"Choosen kernel is not exist(1)!\n"); - fprintf(stderr, "Called function is: %s\n",__func__); - exit(0); - } - - printf("estimated parameters:"); - int i = 0; - for(i=0; ilobs, &data->lobs, theta, data->dm); - MORSE_MLE_dcmg_Tile_Async(MorseLower, MORSE_descC22, &data->lobs, &data->lobs, &data->lm, theta, data->dm, data->kernel_fun, msequence, mrequest); - MORSE_Sequence_Wait(msequence); - //flops = flops + FLOPS_DPOTRF(nZobs); - VERBOSE(" Done.\n"); - - - //printf("%s\n", data->kernel_fun); - //double *C22_arr = (double *) malloc(nZobs * nZobs * sizeof(double)); - //MORSE_Tile_to_Lapack( MORSE_descC22, C22_arr, nZobs); - //print_dmatrix("C22(10,10)", 10, 10, C22_arr, 10); - - //Generate C12 covariance matrix - VERBOSE("Generate C12 Covariance Matrix... (Prediction Stage)"); - //MORSE_MLE_dcmg_Tile_Async(MorseLower, MORSE_descC12, msequence, mrequest, &data->lmiss, &data->lobs, theta, data->dm); - MORSE_MLE_dcmg_Tile_Async(MorseLower, MORSE_descC12, &data->lmiss, &data->lobs, &data->lm, theta, data->dm, data->kernel_fun, msequence, mrequest); - MORSE_Sequence_Wait(msequence); - //flops = flops + FLOPS_DPOTRF(nZmiss); - VERBOSE(" Done.\n"); - STOP_TIMING(mat_gen_time); - - - //printf("%s\n", data->kernel_fun); - //double *C12_arr = (double *) malloc(nZobs * nZmiss * sizeof(double)); - //MORSE_Tile_to_Lapack( MORSE_descC12, C12_arr, nZmiss); - //print_dmatrix("C12(10,10)", 10, 10, C12_arr, 10); - - START_TIMING(time_solve); - //Start prediction - VERBOSE("Calculate dposv C22 Covariance Matrix... (Prediction Stage)"); - MORSE_dposv_Tile(MorseLower, MORSE_descC22, MORSE_descZobs); - flops = flops + FLOPS_DPOTRF(nZobs); - flops = flops + FLOPS_DTRSM(MorseLeft, nZobs, nZobs); - VERBOSE(" Done.\n"); - STOP_TIMING(time_solve); - - - START_TIMING(time_gemm); - VERBOSE("Calculate dgemm Zmiss= C12 * Zobs Covariance Matrix... (Prediction Stage)"); - MORSE_dgemm_Tile (MorseNoTrans, MorseNoTrans, 1, MORSE_descC12, MORSE_descZobs, 0, MORSE_descZmiss); - flops = flops + FLOPS_DGEMM(nZmiss, nZobs, nZobs); - VERBOSE(" Done.\n"); - STOP_TIMING(time_gemm); - - //printf("%s\n", data->kernel_fun); - //double *Zmiss_arr = (double *) malloc(nZmiss * 1 * sizeof(double)); - //MORSE_Tile_to_Lapack( MORSE_descZmiss, Zmiss_arr, nZobs); - //print_dmatrix("Zmiss(10)", 10, 1, Zmiss_arr, 1); - // exit(0); - - //return back descZmiss to zmiss vector - MORSE_Tile_to_Lapack( MORSE_descZmiss, Zmiss, nZmiss); - - //Estimate Mean Square Error - if( Zactual != NULL) - { - START_TIMING(time_mse); - VERBOSE("Calculate Mean Square Error (MSE) ... (Prediction Stage) \n"); - - if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0 || strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0 ) - - MORSE_MLE_dmse_bivariate_Tile_Async(MORSE_descZactual, MORSE_descZmiss, MORSE_descmse1, MORSE_descmse2, MORSE_descmse, msequence, mrequest); - else - - MORSE_MLE_dmse_Tile_Async(MORSE_descZactual, MORSE_descZmiss, MORSE_descmse, msequence, mrequest); - MORSE_Sequence_Wait(msequence); - VERBOSE(" Done.\n"); - STOP_TIMING(time_mse); - data->mserror /= nZmiss; - data->mserror1 /= (nZmiss/2); - data->mserror2 /= (nZmiss/2); - } - else - data->mserror = -1; - -#if defined(CHAMELEON_USE_MPI) - if(MORSE_My_Mpi_Rank() == 0) - { -#endif - - double *z; - // z = (double *) malloc(nZmiss * sizeof(double)); - // MORSE_Tile_to_Lapack( MORSE_descZmiss, z, nZmiss); - // write_pred_vector(z, data, nZmiss, data->mserror); - // free(z); - if(data->log == 1) - fprintf(data->pFileLog, "\n\n# of missing observations :%d\n\nPrediction Execution Time: %.8f, Flops: %.8f, Mean Square Error (MSE): %.8f\n\n", nZmiss, (mat_gen_time+time_solve+time_mse), (flops / 1e9 / (time_solve)), data->mserror ); - - write_prediction_result("predict_result.dat", n, data->hicma_acc, data->mserror1, data->mserror2, data->mserror, (mat_gen_time+time_solve+ time_gemm), (flops / 1e9 / (time_solve))); - - - //output - results.mse_pred1 = data->mserror1; - results.mse_pred2 = data->mserror2; - results.mse_pred = data->mserror; - results.total_pred_time= mat_gen_time+time_solve+ time_gemm; - results.total_pred_flops= flops / 1e9 / (time_solve); - -#if defined(CHAMELEON_USE_MPI) - } -#endif - - return data->mserror; - -} - - - -double MORSE_dmle_Predict_Tile_Async(MLE_data *MORSE_data, double * theta, int nZmiss, int nZobs, int n) - //! //Predict missing values base on a set of given values and covariance matrix - /*! -- MORSE-Async - * Returns the prediction Mean Square Error (MSE) as double - * @param[in] MORSE_data: MLE_data struct with different MLE inputs. - * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) - * that is used to to generate the Covariance Matrix. - * @param[in] nZmiss: number of missing values (unknown observations). - * @param[in] nZobs: number of observed values (known observations). - * @param[in] n: number of spatial locations. - * */ -{ - - //initialization - location *l1 = NULL, *l2 = NULL; - location temp_loc; - double mat_gen_time = 0.0; - double time_solve = 0.0; - double time_mse = 0.0; - double flops = 0.0; - MLE_data * data = (MLE_data*)MORSE_data; - MORSE_desc_t *MORSE_descZ = (MORSE_desc_t *)(data->descZcpy); - MORSE_desc_t *MORSE_descZobs = (MORSE_desc_t *)(data->descZobs); - MORSE_desc_t *MORSE_descZactual = (MORSE_desc_t *)(data->descZactual); - MORSE_desc_t *MORSE_descZmiss = (MORSE_desc_t *)(data->descZmiss); - MORSE_desc_t *MORSE_descC12 = (MORSE_desc_t *)(data->descC12); - MORSE_desc_t *MORSE_descC22 = (MORSE_desc_t *)(data->descC22); - MORSE_desc_t *MORSE_descmse = (MORSE_desc_t *)(data->descmse); - MORSE_sequence_t *msequence = (MORSE_sequence_t *)(data->sequence); - MORSE_request_t *mrequest = (MORSE_request_t *)data->request; - - if(strcmp(data->actualZFPath,"")==0) - { - double *z = NULL; -#if defined(CHAMELEON_USE_MPI) - z = (double *) malloc(n * sizeof(double)); - MORSE_Tile_to_Lapack( MORSE_descZ, z, n); -#else - z = MORSE_descZ->mat; -#endif - - //random shuffle - // shuffle(z, &data->l1, n); - -#if defined(CHAMELEON_USE_MPI) - MORSE_Lapack_to_Tile( z, n, MORSE_descZ); -#endif - - l1 = &data->l1; - temp_loc.x=&l1->x[nZmiss]; - temp_loc.y=&l1->y[nZmiss]; - l2 = &temp_loc; - } - else - { - double *streamdata = NULL; - l1 = &data->l1; - temp_loc.x=&l1->x[nZmiss]; - temp_loc.y=&l1->y[nZmiss]; - l2 = &temp_loc; - - //l1 = (location *) malloc(sizeof(location)); - - //l1->x=(double *) malloc(nZmiss * sizeof(double)); - //l1->y=(double *) malloc(nZmiss * sizeof(double)); - - VERBOSE("Reading ActualZ locations for prediction from disk ....."); - l1 = readLocsFile(data->actualZLocFPath, nZmiss); - VERBOSE(" Done.\n"); - - //streamdata=(double *) malloc(nZmiss * sizeof(double)); - VERBOSE("Reading ActualZ for prediction from disk ....."); - streamdata = readObsFile(data->actualZFPath, nZmiss); - MORSE_MLE_dzcpy_Tile_Async(MORSE_descZactual, streamdata, msequence, mrequest); - MORSE_Sequence_Wait(data->sequence); - VERBOSE(" Done.\n"); - } - - - //MORSE_dposv_Tile_Async(MorseLower, MORSE_descC22, MORSE_descZobs, data->sequence, &data->request[0]); - START_TIMING(mat_gen_time); - - //Generate C22 covariance matrix - VERBOSE("Generate C22 Covariance Matrix... (Prediction Stage)"); - //MORSE_MLE_dcmg_Tile_Async(MorseLower, MORSE_descC22, msequence, mrequest, l2, l2, theta, data->dm); - MORSE_MLE_dcmg_Tile_Async(MorseLower, MORSE_descC22, l2, l2, &data->lm, theta, data->dm, data->kernel_fun, msequence, mrequest); - //flops = flops + FLOPS_DPOTRF(nZobs); - VERBOSE(" Done.\n"); - - //Generate C12 covariance matrix - VERBOSE("Generate C12 Covariance Matrix... (Prediction Stage)"); - //MORSE_MLE_dcmg_Tile_Async(MorseLower, MORSE_descC12, msequence, mrequest, l1, l2, theta, data->dm); - MORSE_MLE_dcmg_Tile_Async(MorseLower, MORSE_descC12, l1, l2, &data->lm, theta, data->dm, data->kernel_fun, msequence, mrequest); - //flops = flops + FLOPS_DPOTRF(nZmiss); - VERBOSE(" Done.\n"); - STOP_TIMING(mat_gen_time); - - START_TIMING(time_solve); - //Start prediction - VERBOSE("Calculate dposv C22 Covariance Matrix... (Prediction Stage)"); - MORSE_dposv_Tile_Async(MorseLower, MORSE_descC22, MORSE_descZobs, msequence, mrequest); - flops = flops + FLOPS_DPOTRF(nZobs); - flops = flops + FLOPS_DTRSM(MorseLeft, nZobs, nZobs); - VERBOSE(" Done.\n"); - - VERBOSE("Calculate dgemm Zmiss= C12 * Zobs Covariance Matrix... (Prediction Stage)"); - MORSE_dgemm_Tile_Async (MorseNoTrans, MorseNoTrans, 1, MORSE_descC12, MORSE_descZobs, 0, MORSE_descZmiss, msequence, mrequest); - flops = flops + FLOPS_DGEMM(nZmiss, nZobs, nZobs); - VERBOSE(" Done.\n"); - STOP_TIMING(time_solve); - - - //Estimate Mean Square Error - START_TIMING(time_mse); - VERBOSE("Calculate Mean Square Error (MSE) ... (Prediction Stage) \n"); - MORSE_MLE_dmse_Tile_Async(MORSE_descZactual, MORSE_descZmiss, MORSE_descmse, msequence, mrequest); - VERBOSE(" Done.\n"); - STOP_TIMING(time_mse); - - - //if you do not have actual value to compare with - if(data->descZactual==NULL) - return -1; - - data->mserror /= nZmiss; - -#if defined(CHAMELEON_USE_MPI) - if(MORSE_My_Mpi_Rank() == 0) - { -#endif - if(data->log == 1) - fprintf(data->pFileLog, "\n\n# of missing observations :%d\n\nPrediction Execution Time: %.8f, Flops: %.8f, Mean Square Error (MSE): %.8f\n\n", nZmiss, (mat_gen_time+time_solve+time_mse), (flops / 1e9 / (time_solve)), data->mserror ); - - // write_prediction_result("predict_result.dat", n, nZmiss, data->mserror, (mat_gen_time+time_solve+ time_mse), (flops / 1e9 / (time_solve ))); - -#if defined(CHAMELEON_USE_MPI) - } -#endif - - return data->mserror; -} - - - -void MORSE_dmle_mloe_mmom_Allocate(MLE_data *MORSE_data, int nZmiss, int nZobs, int dts, int p_grid, int q_grid) - //! Allocate prediction operation descriptors. - /*! - * Returns MLE_data data with initial values and new descriptors locations. - * @param[in] MORSE_data: MLE_data struct with different MLE inputs. - * @param[in] nZmiss: number of missing values (unknown observations). - * @param[in] nZobs: number of observed values (known observations). - * @param[in] dts: tile size (MB). - * @param[in] p_grid: p_grid in the case of distributed system. - * @param[in] q_grid: q_grid in the case of distributed system. - * @param[in] mse_flag: flag to enable or disable Mean Square Error (MSE) computing. - * */ -{ - - MORSE_desc_t *MORSE_desck_t = NULL; - MORSE_desc_t *MORSE_desck_a = NULL; - MORSE_desc_t *MORSE_desck_atmp = NULL; - MORSE_desc_t *MORSE_desck_ttmp = NULL; - //MORSE_desc_t *MORSE_desck_atmp3 = NULL; - - MORSE_desc_t *MORSE_descK_t = NULL; - MORSE_desc_t *MORSE_descK_ttmp = NULL; - MORSE_desc_t *MORSE_descK_a = NULL; - - MORSE_desc_t *MORSE_descexpr1 = NULL; - MORSE_desc_t *MORSE_descexpr2 = NULL; - MORSE_desc_t *MORSE_descexpr3 = NULL; - MORSE_desc_t *MORSE_descexpr4 = NULL; - MORSE_desc_t *MORSE_descalpha = NULL; - MORSE_desc_t *MORSE_desctruthalpha = NULL; - MORSE_desc_t *MORSE_descestimatedalpha = NULL; - MORSE_desc_t *MORSE_desc_mloe_mmom = NULL; - MLE_data *data = (MLE_data*) MORSE_data; - int p=0; - if(nZmiss <= 0) - { - fprintf(stderr," Number of missing values should be positive value\n"); - return; - } - if(strcmp(data->kernel_fun, "univariate_matern_stationary") == 0) - p = 1; - else if(strcmp(data->kernel_fun, "univariate_matern_nuggets_stationary") == 0) - p = 1; - else if(strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) - p = 1; - else if(strcmp(data->kernel_fun, "bivariate_matern_flexible") == 0) - p = 2; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0 || strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) - p = 2; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) - p = 2; - else if(strcmp(data->kernel_fun, "univariate_spacetime_matern_stationary") == 0) - p = 1; - else - { - fprintf(stderr,"Choosen kernel is not exist(24)!\n"); - fprintf(stderr, "Called function is: %s\n",__func__); - exit(0); - } - - - - //EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_desc_mloe_mmom, NULL, MorseRealDouble, dts, dts, dts * dts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_desck_t, NULL, MorseRealDouble, dts, dts, dts * dts, p*nZobs, p, 0, 0, p*nZobs, p, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_desck_a, NULL, MorseRealDouble, dts, dts, dts * dts, p*nZobs, p, 0, 0, p*nZobs, p, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_desck_atmp, NULL, MorseRealDouble, dts, dts, dts * dts, p*nZobs, p, 0, 0, p*nZobs, p, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_desck_ttmp, NULL, MorseRealDouble, dts, dts, dts * dts, p*nZobs, p, 0, 0, p*nZobs, p, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descexpr1, NULL, MorseRealDouble, dts, dts, dts * dts, p, p, 0, 0, p, p, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descexpr2, NULL, MorseRealDouble, dts, dts, dts * dts, p, p, 0, 0, p, p, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descexpr3, NULL, MorseRealDouble, dts, dts, dts * dts, p, p, 0, 0, p, p, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descexpr4, NULL, MorseRealDouble, dts, dts, dts * dts, p, p, 0, 0, p, p, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_desctruthalpha, NULL, MorseRealDouble, dts, dts, dts * dts, p, p, 0, 0, p, p, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descestimatedalpha, NULL, MorseRealDouble, dts, dts, dts * dts, p, p, 0, 0, p, p, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descK_t, NULL, MorseRealDouble, dts, dts, dts * dts, p*nZobs, p*nZobs, 0, 0, p*nZobs, p*nZobs, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descK_a, NULL, MorseRealDouble, dts, dts, dts * dts, p*nZobs, p*nZobs, 0, 0, p*nZobs, p*nZobs, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descK_ttmp, NULL, MorseRealDouble, dts, dts, dts * dts, p*nZobs, p*nZobs, 0, 0, p*nZobs, p*nZobs, p_grid, q_grid); - - //Initiae data descriptors - data->desck_t = MORSE_desck_t; - data->desck_a = MORSE_desck_a; - data->descK_ttmp = MORSE_descK_ttmp; - data->desck_atmp = MORSE_desck_atmp; - data->desck_ttmp = MORSE_desck_ttmp; - data->descK_t = MORSE_descK_t; - data->descK_a = MORSE_descK_a; - data->descexpr1 = MORSE_descexpr1; - data->descexpr2 = MORSE_descexpr2; - data->descexpr3 = MORSE_descexpr3; - data->descexpr4 = MORSE_descexpr4; - data->descestimatedalpha = MORSE_descestimatedalpha; - data->desctruthalpha = MORSE_desctruthalpha; - //data->desc_mloe_mmom = MORSE_desc_mloe_mmom; -} - - -void MORSE_dmle_mloe_mmom_Tile(MLE_data *MORSE_data, double * truth_theta, double* estimated_theta, int nZmiss, int nZobs, int n) - //! //Predict missing values base on a set of given values and covariance matrix - /*! -- MORSE-sync - * Returns the prediction Mean Square Error (MSE) as double - * @param[in] MORSE_data: MLE_data struct with different MLE inputs. - * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) - * that is used to to generate the Covariance Matrix. - * @param[in] nZmiss: number of missing values (unknown observations). - * @param[in] nZobs: number of observed values (known observations). - * @param[in] Zobs: observed values vector (known observations). - * @param[in] Zmiss missing values vector (unknown observations). - * @param[in] Zactual: actual missing values vector (in the case of testing MSE). - * @param[in] n: number of spatial locations. - * */ -{ - //truth_theta[0]=1; truth_theta[1]=0.1; truth_theta[2]=0.5; - //estimated_theta[0]=1.01; estimated_theta[1]=0.09; estimated_theta[2]=0.49; - printf("%f, %f, %f, %f\n", truth_theta[0], truth_theta[1], truth_theta[2], truth_theta[3]); - printf("%f, %f, %f,%f \n", estimated_theta[0], estimated_theta[1], estimated_theta[2], estimated_theta[3]); - //exit(0); - double loe_sum = 0.0; - double mom_sum = 0.0; - int i = 0; - int p = 0; - int v = 0; - int j = 0; - double all_time = 0.0; - double cholesky1 = 0.0; - double cholesky2 = 0.0; - double matrix_gen1 = 0.0; - double matrix_gen2 = 0.0; - double matrix_gen3 = 0.0; - double matrix_gen4 = 0.0; - double copy1 = 0.0; - double copy2 = 0.0; - double copy3 = 0.0; - - double trsm1 = 0.0; - double trsm2 = 0.0; - double trsm3 = 0.0; - double trsm4 = 0.0; - double trsm5 = 0.0; - double trsm6 = 0.0; - double trsm7 = 0.0; - double gevv1 = 0.0; - double gevv2 = 0.0; - double gevv3 = 0.0; - double gevv4 = 0.0; - double gevv5 = 0.0; - //************************************************************************ - double *loe=(double *) malloc(nZmiss * sizeof(double)); - double *mom=(double *) malloc(nZmiss * sizeof(double)); - - MLE_data *data = (MLE_data*) MORSE_data; - MORSE_desc_t *MORSE_desck_t = data->desck_t; - MORSE_desc_t *MORSE_desck_a = data->desck_a; - MORSE_desc_t *MORSE_descK_t = data->descK_t; - MORSE_desc_t *MORSE_descK_a = data->descK_a; - MORSE_desc_t *MORSE_descK_ttmp = data->descK_ttmp; - MORSE_desc_t *MORSE_desck_atmp = data->desck_atmp; - MORSE_desc_t *MORSE_desck_ttmp = data->desck_ttmp; - MORSE_desc_t *MORSE_descexpr1 = data->descexpr1; - MORSE_desc_t *MORSE_descexpr2 = data->descexpr2; - MORSE_desc_t *MORSE_descexpr3 = data->descexpr3; - MORSE_desc_t *MORSE_descexpr4 = data->descexpr4; - MORSE_desc_t *MORSE_descestimatedalpha = data->descestimatedalpha; - MORSE_desc_t *MORSE_desctruthalpha = data->desctruthalpha; - MORSE_sequence_t *msequence = (MORSE_sequence_t *)(data->sequence); - MORSE_request_t *mrequest = (MORSE_request_t *)data->request; - location lmiss; - lmiss.x = (double *) malloc(sizeof(double)); - lmiss.y = (double *) malloc(sizeof(double)); - - double* univariate_theta; - double* univariate2_theta; - double* univariate3_theta; - double nu12; - double rho; - double sigma_square12; - - double flops = 0.0; - START_TIMING(all_time); - - int m = MORSE_descestimatedalpha->m; - double *truthalpha = (double *) malloc( m * m * sizeof(double)); - double *estimatedalpha = (double *) malloc( m * m * sizeof(double)); - double *temp1 = (double *) malloc( m * m* sizeof(double)); - double *temp2 = (double *) malloc( m * m*sizeof(double)); - double *temp3 = (double *) malloc( m * m*sizeof(double)); - if(m ==1) - { - truthalpha[0] = truth_theta[0]; - estimatedalpha[0] = estimated_theta[0]; - } - - if(m ==2) - { - double truth_nu12 = 0.5 * (truth_theta[3] + truth_theta[4]); - double truth_rho = truth_theta[5] * sqrt( (tgamma(truth_theta[3] + 1)*tgamma(truth_theta[4] + 1)) / - (tgamma(truth_theta[3]) * tgamma(truth_theta[4])) ) * - tgamma(truth_nu12) / tgamma(truth_nu12 + 1); - - double estimated_nu12 = 0.5 * (estimated_theta[3] + estimated_theta[4]); - double estimated_rho = estimated_theta[5] * sqrt( (tgamma(estimated_theta[3] + 1)*tgamma(estimated_theta[4] + 1)) / - (tgamma(estimated_theta[3]) * tgamma(estimated_theta[4])) ) * - tgamma(estimated_nu12) / tgamma(estimated_nu12 + 1); - - truthalpha[0] = truth_theta[0]; - estimatedalpha[0] = estimated_theta[0]; - - truthalpha[1] = truthalpha[3] = truth_rho - * sqrt(truth_theta[0] * truth_theta[1]); - - estimatedalpha[1] = estimatedalpha[3] = estimated_rho - * sqrt(estimated_theta[0] * estimated_theta[1]); - truthalpha[2] = truth_theta[1]; - estimatedalpha[2] = estimated_theta[1]; - - } - MORSE_Lapack_to_Tile( truthalpha, m, MORSE_desctruthalpha); - MORSE_Lapack_to_Tile( estimatedalpha, m, MORSE_descestimatedalpha); - - char * name= malloc(strlen(data->kernel_fun) + 1); - strcpy(name, data->kernel_fun); - - if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) - { - printf("TODO: running with Z=1 no more\n"); - data->kernel_fun= "bivariate_matern_parsimonious"; - } - - START_TIMING(matrix_gen1); - VERBOSE("Create MORSE_descK_a Covariance Matrix (MLOE-MMOM)....."); - if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) - { - - univariate_theta =(double *) malloc(3 * sizeof(double)); - univariate2_theta =(double *) malloc(3 * sizeof(double)); - univariate3_theta =(double *) malloc(3 * sizeof(double)); - univariate_theta[0]=estimated_theta[0]; - univariate_theta[1]=estimated_theta[2]; - univariate_theta[2]=estimated_theta[3]; - - MORSE_MLE_dcmg_Tile_Async(MorseUpperLower, morse_desc_submatrix(MORSE_descK_a, 0, 0, MORSE_descK_a->m/2, MORSE_descK_a->n/2), &data->lobs, &data->lobs, &data->lm, univariate_theta, data->dm, "univariate_matern_stationary", msequence, &mrequest[0]); - - - nu12 = 0.5 * (estimated_theta[3] + estimated_theta[4]); - rho = estimated_theta[5] * sqrt( (tgamma(estimated_theta[3] + 1)*tgamma(estimated_theta[4] + 1)) / - (tgamma(estimated_theta[3]) * tgamma(estimated_theta[4])) ) * - tgamma(nu12) / tgamma(nu12 + 1); - sigma_square12 = rho * sqrt(estimated_theta[0]*estimated_theta[1]) ; - - univariate2_theta[0]=sigma_square12; - univariate2_theta[1]=estimated_theta[2]; - univariate2_theta[2]=nu12; - - MORSE_MLE_dcmg_Tile_Async(MorseUpperLower, morse_desc_submatrix(MORSE_descK_a, MORSE_descK_a->m/2, 0, MORSE_descK_a->m/2, MORSE_descK_a->n/2), &data->lobs, &data->lobs, &data->lm, univariate_theta, data->dm, "univariate_matern_stationary", msequence, &mrequest[0]); - // MORSE_MLE_dcmg_Tile_Async(MorseLower, data->descsubC21, &data->l1, &data->l1, &data->lm, univariate2_theta, data->dm, "univariate_matern_stationary", msequence, &mrequest[0]); - - univariate3_theta[0]=estimated_theta[1]; - univariate3_theta[1]=estimated_theta[2]; - univariate3_theta[2]=estimated_theta[4]; - - - - MORSE_MLE_dcmg_Tile_Async(MorseUpperLower, morse_desc_submatrix(MORSE_descK_a, MORSE_descK_a->m/2, MORSE_descK_a->n/2, MORSE_descK_a->m/2, MORSE_descK_a->n/2), &data->lobs, &data->lobs, &data->lm, univariate_theta, data->dm, "univariate_matern_stationary", msequence, &mrequest[0]); - } - else - { //(1)Generate the co-variance matrix descK_a - MORSE_MLE_dcmg_Tile_Async(MorseLower, MORSE_descK_a, &data->lobs, &data->lobs, &data->lm, estimated_theta, data->dm, data->kernel_fun, msequence, mrequest); - } - VERBOSE(" Done.\n"); - MORSE_Sequence_Wait(msequence); - STOP_TIMING(matrix_gen1); - - START_TIMING(matrix_gen2); - //(2)Generate the co-variance matrix descK_t - VERBOSE("Create MORSE_descK_t Covariance Matrix (MLOE-MMOM)....."); - MORSE_MLE_dcmg_Tile_Async(MorseUpperLower, MORSE_descK_t, &data->lobs, &data->lobs, &data->lm, truth_theta, data->dm, data->kernel_fun, msequence, mrequest); - MORSE_Sequence_Wait(msequence); - VERBOSE(" Done.\n"); - STOP_TIMING(matrix_gen2); - - - START_TIMING(cholesky1); - //(3)Cholesky factorization for the Co-variance matrix MORSE_descK_a - VERBOSE("Cholesky factorization of MORSE_descK_a (MLOE-MMOM) ....."); - int success = MORSE_dpotrf_Tile(MorseLower, MORSE_descK_a); - SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); - VERBOSE(" Done.\n"); - STOP_TIMING(cholesky1); - flops = flops + FLOPS_DPOTRF(MORSE_descK_a->m); - - - START_TIMING(copy1); - //(4)Copy MORSE_descK_t Covariance Matrix to MORSE_descK_ttmp (MLOE-MMOM) - VERBOSE("Copy MORSE_descK_t Covariance Matrix to MORSE_descK_ttmp (MLOE-MMOM)....."); - MORSE_dlacpy_Tile(MorseUpperLower, MORSE_descK_t, MORSE_descK_ttmp); - VERBOSE(" Done.\n"); - STOP_TIMING(copy1); - - START_TIMING(cholesky2); - //(5)Cholesky factorization for the Co-variance matrix MORSE_descK_t - VERBOSE("Cholesky factorization of MORSE_descK_t (MLOE-MMOM) ....."); - success = MORSE_dpotrf_Tile(MorseLower, MORSE_descK_t); - SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); - VERBOSE(" Done.\n"); - STOP_TIMING(cholesky2); - flops = flops + FLOPS_DPOTRF(MORSE_descK_t->m); - - - - MORSE_desc_t *B2; - MORSE_desc_t *B3; - MORSE_desc_t *B4; - MORSE_Desc_Create_User( &B2, temp1, MorseComplexDouble, MORSE_descexpr2->mb, MORSE_descexpr2->nb, MORSE_descexpr2->bsiz, - m, MORSE_descexpr2->n, 0, 0, MORSE_descexpr2->m, MORSE_descexpr2->n, 1, 1, - morse_getaddr_cm, morse_getblkldd_cm, NULL ); - MORSE_Sequence_Wait(msequence); - MORSE_Desc_Create_User( &B3, temp2, MorseComplexDouble, MORSE_descexpr3->mb, MORSE_descexpr3->nb, MORSE_descexpr3->bsiz, - m, MORSE_descexpr3->n, 0, 0, MORSE_descexpr3->m, MORSE_descexpr3->n, 1, 1, - morse_getaddr_cm, morse_getblkldd_cm, NULL ); - MORSE_Sequence_Wait(msequence); - MORSE_Desc_Create_User( &B4, temp3, MorseComplexDouble, MORSE_descexpr4->mb, MORSE_descexpr4->nb, MORSE_descexpr4->bsiz, - m, MORSE_descexpr4->n, 0, 0, MORSE_descexpr4->m, MORSE_descexpr4->n, 1, 1, - morse_getaddr_cm, morse_getblkldd_cm, NULL ); - MORSE_Sequence_Wait(msequence); - double total_loop_time =0.0; - double loop_time = 0.0; - for(p=0; plmiss.x[p]; - lmiss.y[0] = data->lmiss.y[p]; - - START_TIMING(matrix_gen3) - MORSE_MLE_dcmg_Tile_Async(MorseUpperLower, MORSE_desck_t, &data->lobs, &lmiss, &data->lm, truth_theta, data->dm, data->kernel_fun, msequence, mrequest); - MORSE_Sequence_Wait(msequence); - STOP_TIMING(matrix_gen3); - - START_TIMING(matrix_gen4) - MORSE_MLE_dcmg_Tile_Async(MorseUpperLower, MORSE_desck_a, &data->lobs, &lmiss, &data->lm, estimated_theta, data->dm, data->kernel_fun, msequence, mrequest); - MORSE_Sequence_Wait(msequence); - STOP_TIMING(matrix_gen4); - - - START_TIMING(copy2); - //(5)Copy MORSE_desck_a to MORSE_descK_atmp (MLOE-MMOM) - VERBOSE("Copy MORSE_desck_a to MORSE_descK_atmp (MLOE-MMOM)....."); - MORSE_dlacpy_Tile(MorseUpperLower, MORSE_desck_t, MORSE_desck_ttmp); - VERBOSE(" Done.\n"); - STOP_TIMING(copy2); - - // double *C = (double *) malloc(2 * n * sizeof(double)); - // MORSE_Tile_to_Lapack( MORSE_desck_t, C, nZobs); - // print_dmatrix("testC", 2, 16, C, 2); - //exit(0); - - START_TIMING(copy3); - //(6)Copy MORSE_desck_t to MORSE_desck_ttmp (MLOE-MMOM) - VERBOSE("Copy MORSE_desck_t to MORSE_desck_ttmp (MLOE-MMOM)....."); - MORSE_dlacpy_Tile(MorseUpperLower, MORSE_desck_a, MORSE_desck_atmp); - VERBOSE(" Done.\n"); - STOP_TIMING(copy3); - - - START_TIMING(loop_time); - START_TIMING(trsm1); - //(7) Triangular Solve (TRSM) k_a = TRSM(L_a^-1, k_a) - VERBOSE("Solving the linear system k_a = TRSM(L_a^-1, k_a) ...(MLOE-MMOM)\n"); - MORSE_dtrsm_Tile(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, MORSE_descK_a, MORSE_desck_a); - VERBOSE(" Done.\n"); - flops = flops + FLOPS_DTRSM(MorseLeft, MORSE_descK_a->m, MORSE_desck_a->n); - STOP_TIMING(trsm1); - - START_TIMING(trsm2); - //(8) Triangular Solve (TRSM) k_a = TRSM(L_a^-T, k_a) - VERBOSE("Solving the linear system k_a = TRSM(L_a^-T, k_a) ...(MLOE-MMOM)\n"); - MORSE_dtrsm_Tile(MorseLeft, MorseLower, MorseTrans, MorseNonUnit, 1, MORSE_descK_a, MORSE_desck_a); - flops = flops + FLOPS_DTRSM(MorseLeft, MORSE_descK_a->m, MORSE_desck_a->n); - VERBOSE(" Done.\n"); - STOP_TIMING(trsm2); - - START_TIMING(trsm3); - //(9) Triangular Solve (TRSM) k_t = TRSM(L_t^-1, k_t) - VERBOSE("(9)Solving the linear system k_t = TRSM(L_t^-1, k_t) ...(MLOE-MMOM)\n"); - MORSE_dtrsm_Tile(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, MORSE_descK_t, MORSE_desck_t); - flops = flops + FLOPS_DTRSM(MorseLeft, MORSE_descK_t->m, MORSE_desck_t->n); - VERBOSE(" Done.\n"); - STOP_TIMING(trsm3); - - START_TIMING(trsm4); - //(10) Triangular Solve (TRSM) k_t = TRSM(L_t^-T, k_t) - VERBOSE("(10)Solving the linear system k_t = TRSM(L_a^-T, k_t) ...(MLOE-MMOM)\n"); - MORSE_dtrsm_Tile(MorseLeft, MorseLower, MorseTrans, MorseNonUnit, 1, MORSE_descK_t, MORSE_desck_t); - flops = flops + FLOPS_DTRSM(MorseLeft, MORSE_descK_t->m, MORSE_desck_t->n); - VERBOSE(" Done.\n"); - STOP_TIMING(trsm4); - - START_TIMING(gevv1); - //(12) Calculate dgemm value= MORSE_desck_a^T * MORSE_desck_t - VERBOSE("(11)Calculate dgemm MORSE_descexpr4 = MORSE_desck_a^T * MORSE_desck_t... (Prediction Stage)"); - MORSE_dgemm_Tile(MorseTrans, MorseNoTrans, 1, MORSE_desck_ttmp, MORSE_desck_t, 0, MORSE_descexpr3); - flops = flops + FLOPS_DGEMM(MORSE_desck_ttmp->m, MORSE_desck_t->n, MORSE_descexpr3->n); - VERBOSE(" Done.\n"); - STOP_TIMING(gevv1); - - START_TIMING(gevv2); - //(11) Calculate dgemm value= MORSE_desck_t^T * MORSE_desck_a - VERBOSE("(12)Calculate dgemm MORSE_descexpr1 = MORSE_desck_t^T * MORSE_desck_a... (MLOE-MMOM)"); - MORSE_dgemm_Tile(MorseTrans, MorseNoTrans, 1, MORSE_desck_ttmp, MORSE_desck_a, 0, MORSE_descexpr1); - flops = flops + FLOPS_DGEMM(MORSE_desck_ttmp->m, MORSE_desck_a->n, MORSE_descexpr1->n); - VERBOSE(" Done.\n"); - STOP_TIMING(gevv2); - START_TIMING(gevv3); - //(8) Calculate dgemm value= MORSE_desck_a^T * MORSE_desck_atmp - VERBOSE("(13)Calculate dgemm MORSE_descexpr1 = MORSE_desck_a^T * MORSE_desck_a... (MLOE-MMOM)"); - MORSE_dgemm_Tile(MorseTrans, MorseNoTrans, 1, MORSE_desck_atmp, MORSE_desck_a, 0, MORSE_descexpr4); - flops = flops + FLOPS_DGEMM(MORSE_desck_atmp->m, MORSE_desck_a->n, MORSE_descexpr4->n); - VERBOSE(" Done.\n"); - STOP_TIMING(gevv3); - START_TIMING(gevv4); - //(14) Calculate dgemm MORSE_desck_a= MORSE_descK_t * MORSE_desck_a (use k_t as k_a) - VERBOSE("(14)Calculate dgemm MORSE_desck_a = MORSE_descK_ttmp * MORSE_desck_a... (Prediction Stage)"); - MORSE_dgemm_Tile(MorseNoTrans, MorseNoTrans, 1, MORSE_descK_ttmp, MORSE_desck_a, 0, MORSE_desck_t); - flops = flops + FLOPS_DGEMM(MORSE_desck_ttmp->m, MORSE_desck_a->n, MORSE_desck_t->n); - VERBOSE(" Done.\n"); - STOP_TIMING(gevv4); - - START_TIMING(trsm5); - //(15) Triangular Solve (TRSM) k_atmp = TRSM(K_a^-1, k_atmp) - VERBOSE("(15)Solving the linear system k_atmp = TRSM(K_t^-1, k_atmp) ...\n"); - MORSE_dtrsm_Tile(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, MORSE_descK_a, MORSE_desck_t); - flops = flops + FLOPS_DTRSM(MorseLeft, MORSE_descK_a->m, MORSE_desck_t->n); - VERBOSE(" Done.\n"); - STOP_TIMING(trsm5); - - START_TIMING(trsm6); - //(16) Triangular Solve (TRSM) k_a = TRSM(K_a^-T, k_a) - VERBOSE("(16)Solving the linear system k_atmp = TRSM(K_t^-T, k_atmp) ...\n"); - MORSE_dtrsm_Tile(MorseLeft, MorseLower, MorseTrans, MorseNonUnit, 1, MORSE_descK_a, MORSE_desck_t); - flops = flops + FLOPS_DTRSM(MorseLeft, MORSE_descK_a->m, MORSE_desck_t->n); - VERBOSE(" Done.\n"); - STOP_TIMING(trsm6); - START_TIMING(gevv5); - //(13) Calculate dgemm value= MORSE_desck_a^T * MORSE_desck_t - VERBOSE("(17)Calculate dgemm MORSE_descexpr1 = MORSE_desck_a^T * MORSE_desck_a... (Prediction Stage)"); - MORSE_dgemm_Tile(MorseTrans, MorseNoTrans, 1, MORSE_desck_atmp, MORSE_desck_t, 0, MORSE_descexpr2); - flops = flops + FLOPS_DGEMM(MORSE_desck_atmp->m, MORSE_desck_t->n, MORSE_descexpr2->n); - VERBOSE(" Done.\n"); - STOP_TIMING(gevv5); - - - STOP_TIMING(loop_time); - - total_loop_time +=loop_time; - //stop - //exit(0); - // double expr1=0; - // double expr2=0; - // double expr3=0; - // double expr4=0; - - - // MORSE_Tile_to_Lapack( MORSE_descexpr1, &expr1, 1); - // MORSE_Tile_to_Lapack( MORSE_descexpr2, &expr2, 1); - // MORSE_Tile_to_Lapack( MORSE_descexpr3, &expr3, 1); - // MORSE_Tile_to_Lapack( MORSE_descexpr4, &expr4, 1); - - MORSE_dgeadd_Tile(MorseNoTrans, 1 , MORSE_desctruthalpha, -2, MORSE_descexpr1); - MORSE_dgeadd_Tile(MorseNoTrans, 1 , MORSE_descexpr1, 1, MORSE_descexpr2); - - MORSE_dgeadd_Tile(MorseNoTrans, 1 , MORSE_desctruthalpha,-1, MORSE_descexpr3); - MORSE_dgeadd_Tile(MorseNoTrans, 1 , MORSE_descestimatedalpha, -1, MORSE_descexpr4); - // temp1 = truth_theta[0]- 2* data->expr1 + data->expr2; - // temp2 = truth_theta[0]- data->expr3; - // temp3 = estimated_theta[0]- data->expr4; - - // printf ("%f, %f, %f,%f, %f\n", matrix_gen1, matrix_gen2, copy1, cholesky1, cholesky2); - // printf ("%f, %f, %f, %f\n", matrix_gen3, matrix_gen4, copy2, copy3); - // printf ("%f, %f, %f, %f, %f, %f, %f, %f, %f, %f, %f\n", trsm1, trsm2, trsm3, trsm3, trsm5, trsm6, gevv1, gevv2, gevv3, gevv4, gevv5); - //******************************* - - //MORSE_Tile_to_Lapack( MORSE_descexpr2, temp1, m); - //MORSE_Tile_to_Lapack( MORSE_descexpr3, temp2, m); - //MORSE_Tile_to_Lapack( MORSE_descexpr4, temp3, m); - MORSE_dlacpy_Tile( MorseUpperLower, MORSE_descexpr2, B2); - MORSE_dlacpy_Tile( MorseUpperLower, MORSE_descexpr3, B3); - MORSE_dlacpy_Tile( MorseUpperLower, MORSE_descexpr4, B4); - - if(m==1) - { - printf("%f, %f, %f\n", temp1[0], temp2[0], temp3[0]); - loe[p] = temp1[0]/temp2[0]-1.0; - mom[p] = temp3[0]/temp1[0]-1.0; - - } - if(m==2) - { - printf("%f, %f, %f, %f, %f, %f\n", temp1[0], temp1[2], temp2[0],temp2[2],temp3[0],temp3[2]); - loe[p] = (temp1[0]+temp1[2])/(temp2[0]+temp2[2])-1.0; - mom[p] = (temp3[0]+temp3[2])/(temp1[0]+temp1[2])-1.0; - } - loe_sum += loe[p]; - mom_sum += mom[p]; - } - -#if defined(CHAMELEON_USE_MPI) - if(MORSE_My_Mpi_Rank() == 0) - { -#endif - printf("\nnZmiss = %d\n", nZmiss); - printf("\nMLOE = %f", loe_sum/nZmiss); - printf("\nMMOM = %f\n\n\n", mom_sum/nZmiss); - data->mloe=(loe_sum/nZmiss); - data->mmom=(mom_sum/nZmiss); - printf(" ----(MLOE-MMOM) Gflop/s: %6.2f\n", flops / 1e9 / (total_loop_time + cholesky1 +cholesky2)); - - - -#if defined(CHAMELEON_USE_MPI) - } -#endif - - data->mloe=(loe_sum/nZmiss); - data->mmom=(mom_sum/nZmiss); - STOP_TIMING(all_time); - free(loe); - free(mom); - free(lmiss.x); - free(lmiss.y); - free(temp1); - free(temp2); - free(temp3); - free(estimatedalpha); - free(truthalpha); - - FILE *pFile; -#if defined(CHAMELEON_USE_MPI) - if ( MORSE_My_Mpi_Rank() == 0 ) - { -#endif - //output - results.mloe = data->mloe; - results.mmom = data->mmom; - results.mloe_exec = "sync"; - results.total_mloe_mmom_time = all_time; - results.matrix_gen_mloe_mmom_time = matrix_gen1+ matrix_gen2; - results.cho_fact_mloe_mmom_time = cholesky1 +cholesky2; - results.loop_mloe_mmom_time = total_loop_time; - results.total_mloe_mmom_flops = flops / 1e9 / (total_loop_time + cholesky1 +cholesky2); -#if defined(CHAMELEON_USE_MPI) - } -#endif - - fprintf(stderr," ---- mloe_mmom Time: %6.2f seconds\n\n", all_time); -} - - - -void MORSE_dmle_mloe_mmom_Tile_Async(MLE_data *MORSE_data, double * truth_theta, double* estimated_theta, int nZmiss, int nZobs, int n) - //! //Predict missing values base on a set of given values and covariance matrix - /*! -- MORSE-sync - * Returns the prediction Mean Square Error (MSE) as double - * @param[in] MORSE_data: MLE_data struct with different MLE inputs. - * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) - * that is used to to generate the Covariance Matrix. - * @param[in] nZmiss: number of missing values (unknown observations). - * @param[in] nZobs: number of observed values (known observations). - * @param[in] Zobs: observed values vector (known observations). - * @param[in] Zmiss missing values vector (unknown observations). - * @param[in] Zactual: actual missing values vector (in the case of testing MSE). - * @param[in] n: number of spatial locations. - * */ -{ - //truth_theta[0]=1; truth_theta[1]=0.1; truth_theta[2]=0.5; - //estimated_theta[0]=1.01; estimated_theta[1]=0.09; estimated_theta[2]=0.49; - printf("%f, %f, %f\n", truth_theta[0], truth_theta[1], truth_theta[2]); - printf("%f, %f, %f\n", estimated_theta[0], estimated_theta[1], estimated_theta[2]); - //exit(0); - double loe_sum = 0.0; - double mom_sum = 0.0; - int i = 0; - int p = 0; - int v = 0; - int j = 0; - double all_time = 0.0; - double cholesky1 = 0.0; - double cholesky2 = 0.0; - double matrix_gen1 = 0.0; - double matrix_gen2 = 0.0; - double matrix_gen3 = 0.0; - double matrix_gen4 = 0.0; - double copy1 = 0.0; - double copy2 = 0.0; - double copy3 = 0.0; - - double trsm1 = 0.0; - double trsm2 = 0.0; - double trsm3 = 0.0; - double trsm4 = 0.0; - double trsm5 = 0.0; - double trsm6 = 0.0; - double trsm7 = 0.0; - double gevv1 = 0.0; - double gevv2 = 0.0; - double gevv3 = 0.0; - double gevv4 = 0.0; - double gevv5 = 0.0; - //************************************************************************ - double *loe=(double *) malloc(nZmiss * sizeof(double)); - double *mom=(double *) malloc(nZmiss * sizeof(double)); - - MLE_data *data = (MLE_data*) MORSE_data; - MORSE_desc_t *MORSE_desck_t = data->desck_t; - MORSE_desc_t *MORSE_desck_a = data->desck_a; - MORSE_desc_t *MORSE_descK_t = data->descK_t; - MORSE_desc_t *MORSE_descK_a = data->descK_a; - MORSE_desc_t *MORSE_descK_ttmp = data->descK_ttmp; - MORSE_desc_t *MORSE_desck_atmp = data->desck_atmp; - MORSE_desc_t *MORSE_desck_ttmp = data->desck_ttmp; - MORSE_desc_t *MORSE_descexpr1 = data->descexpr1; - MORSE_desc_t *MORSE_descexpr2 = data->descexpr2; - MORSE_desc_t *MORSE_descexpr3 = data->descexpr3; - MORSE_desc_t *MORSE_descexpr4 = data->descexpr4; - MORSE_desc_t *MORSE_descestimatedalpha = data->descestimatedalpha; - MORSE_desc_t *MORSE_desctruthalpha = data->desctruthalpha; - MORSE_sequence_t *msequence = (MORSE_sequence_t *)(data->sequence); - MORSE_request_t *mrequest = (MORSE_request_t *)data->request; - location lmiss; - lmiss.x = (double *) malloc(sizeof(double)); - lmiss.y = (double *) malloc(sizeof(double)); - - double* univariate_theta; - double* univariate2_theta; - double* univariate3_theta; - double nu12; - double rho; - double sigma_square12; - - double flops = 0.0; - START_TIMING(all_time); - - int m = MORSE_descestimatedalpha->m; - double *truthalpha = (double *) malloc( m * m * sizeof(double)); - double *estimatedalpha = (double *) malloc( m * m * sizeof(double)); - double *temp1 = (double *) malloc( m * m* sizeof(double)); - double *temp2 = (double *) malloc( m * m*sizeof(double)); - double *temp3 = (double *) malloc( m * m*sizeof(double)); - if(m ==1) - { - truthalpha[0] = truth_theta[0]; - estimatedalpha[0] = estimated_theta[0]; - } - - if(m ==2) - { - double truth_nu12 = 0.5 * (truth_theta[3] + truth_theta[4]); - double truth_rho = truth_theta[5] * sqrt( (tgamma(truth_theta[3] + 1)*tgamma(truth_theta[4] + 1)) / - (tgamma(truth_theta[3]) * tgamma(truth_theta[4])) ) * - tgamma(truth_nu12) / tgamma(truth_nu12 + 1); - - double estimated_nu12 = 0.5 * (estimated_theta[3] + estimated_theta[4]); - double estimated_rho = estimated_theta[5] * sqrt( (tgamma(estimated_theta[3] + 1)*tgamma(estimated_theta[4] + 1)) / - (tgamma(estimated_theta[3]) * tgamma(estimated_theta[4])) ) * - tgamma(estimated_nu12) / tgamma(estimated_nu12 + 1); - - truthalpha[0] = truth_theta[0]; - estimatedalpha[0] = estimated_theta[0]; - - truthalpha[1] = truthalpha[3] = truth_rho - * sqrt(truth_theta[0] * truth_theta[1]); - - estimatedalpha[1] = estimatedalpha[3] = estimated_rho - * sqrt(estimated_theta[0] * estimated_theta[1]); - truthalpha[2] = truth_theta[1]; - estimatedalpha[2] = estimated_theta[1]; - - } - MORSE_Lapack_to_Tile( truthalpha, m, MORSE_desctruthalpha); - MORSE_Lapack_to_Tile( estimatedalpha, m, MORSE_descestimatedalpha); - - - - char * name= malloc(strlen(data->kernel_fun) + 1); - strcpy(name, data->kernel_fun); - - if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) - { - printf("TODO: running with Z=1 no more\n"); - data->kernel_fun= "bivariate_matern_parsimonious"; - } - - START_TIMING(matrix_gen1); - VERBOSE("Create MORSE_descK_a Covariance Matrix (MLOE-MMOM)....."); - if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) - { - - univariate_theta =(double *) malloc(3 * sizeof(double)); - univariate2_theta =(double *) malloc(3 * sizeof(double)); - univariate3_theta =(double *) malloc(3 * sizeof(double)); - univariate_theta[0]=estimated_theta[0]; - univariate_theta[1]=estimated_theta[2]; - univariate_theta[2]=estimated_theta[3]; - - MORSE_MLE_dcmg_Tile_Async(MorseUpperLower, morse_desc_submatrix(MORSE_descK_a, 0, 0, MORSE_descK_a->m/2, MORSE_descK_a->n/2), &data->lobs, &data->lobs, &data->lm, univariate_theta, data->dm, "univariate_matern_stationary", msequence, &mrequest[0]); - - - nu12 = 0.5 * (estimated_theta[3] + estimated_theta[4]); - rho = estimated_theta[5] * sqrt( (tgamma(estimated_theta[3] + 1)*tgamma(estimated_theta[4] + 1)) / - (tgamma(estimated_theta[3]) * tgamma(estimated_theta[4])) ) * - tgamma(nu12) / tgamma(nu12 + 1); - sigma_square12 = rho * sqrt(estimated_theta[0]*estimated_theta[1]) ; - - univariate2_theta[0]=sigma_square12; - univariate2_theta[1]=estimated_theta[2]; - univariate2_theta[2]=nu12; - - MORSE_MLE_dcmg_Tile_Async(MorseUpperLower, morse_desc_submatrix(MORSE_descK_a, MORSE_descK_a->m/2, 0, MORSE_descK_a->m/2, MORSE_descK_a->n/2), &data->lobs, &data->lobs, &data->lm, univariate_theta, data->dm, "univariate_matern_stationary", msequence, &mrequest[0]); - // MORSE_MLE_dcmg_Tile_Async(MorseLower, data->descsubC21, &data->l1, &data->l1, &data->lm, univariate2_theta, data->dm, "univariate_matern_stationary", msequence, &mrequest[0]); - - univariate3_theta[0]=estimated_theta[1]; - univariate3_theta[1]=estimated_theta[2]; - univariate3_theta[2]=estimated_theta[4]; - - MORSE_MLE_dcmg_Tile_Async(MorseUpperLower, morse_desc_submatrix(MORSE_descK_a, MORSE_descK_a->m/2, MORSE_descK_a->n/2, MORSE_descK_a->m/2, MORSE_descK_a->n/2), &data->lobs, &data->lobs, &data->lm, univariate_theta, data->dm, "univariate_matern_stationary", msequence, &mrequest[0]); - } - else - { //(1)Generate the co-variance matrix descK_a - MORSE_MLE_dcmg_Tile_Async(MorseLower, MORSE_descK_a, &data->lobs, &data->lobs, &data->lm, estimated_theta, data->dm, data->kernel_fun, msequence, mrequest); - } - VERBOSE(" Done.\n"); - MORSE_Sequence_Wait(msequence); - STOP_TIMING(matrix_gen1); - - START_TIMING(matrix_gen2); - //(2)Generate the co-variance matrix descK_t - VERBOSE("Create MORSE_descK_t Covariance Matrix (MLOE-MMOM)....."); - MORSE_MLE_dcmg_Tile_Async(MorseUpperLower, MORSE_descK_t, &data->lobs, &data->lobs, &data->lm, truth_theta, data->dm, data->kernel_fun, msequence, mrequest); - MORSE_Sequence_Wait(msequence); - VERBOSE(" Done.\n"); - STOP_TIMING(matrix_gen2); - - - START_TIMING(cholesky1); - //(3)Cholesky factorization for the Co-variance matrix MORSE_descK_a - VERBOSE("Cholesky factorization of MORSE_descK_a (MLOE-MMOM) ....."); - int success = MORSE_dpotrf_Tile_Async(MorseLower, MORSE_descK_a, msequence, mrequest); - SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); - VERBOSE(" Done.\n"); - STOP_TIMING(cholesky1); - flops = flops + FLOPS_DPOTRF(MORSE_descK_a->m); - - START_TIMING(copy1); - //(4)Copy MORSE_descK_t Covariance Matrix to MORSE_descK_ttmp (MLOE-MMOM) - VERBOSE("Copy MORSE_descK_t Covariance Matrix to MORSE_descK_ttmp (MLOE-MMOM)....."); - MORSE_dlacpy_Tile_Async(MorseUpperLower, MORSE_descK_t, MORSE_descK_ttmp, msequence, mrequest); - VERBOSE(" Done.\n"); - STOP_TIMING(copy1); - - START_TIMING(cholesky2); - flops = flops + FLOPS_DPOTRF(MORSE_descK_t->m); - //(5)Cholesky factorization for the Co-variance matrix MORSE_descK_t - VERBOSE("Cholesky factorization of MORSE_descK_t (MLOE-MMOM) ....."); - success = MORSE_dpotrf_Tile_Async(MorseLower, MORSE_descK_t, msequence, mrequest); - SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); - VERBOSE(" Done.\n"); - - - STOP_TIMING(cholesky2); - MORSE_desc_t *B2; - MORSE_desc_t *B3; - MORSE_desc_t *B4; - MORSE_Desc_Create_User( &B2, temp1, MorseComplexDouble, MORSE_descexpr2->mb, MORSE_descexpr2->nb, MORSE_descexpr2->bsiz, - m, MORSE_descexpr2->n, 0, 0, MORSE_descexpr2->m, MORSE_descexpr2->n, 1, 1, - morse_getaddr_cm, morse_getblkldd_cm, NULL ); - MORSE_Desc_Create_User( &B3, temp2, MorseComplexDouble, MORSE_descexpr3->mb, MORSE_descexpr3->nb, MORSE_descexpr3->bsiz, - m, MORSE_descexpr3->n, 0, 0, MORSE_descexpr3->m, MORSE_descexpr3->n, 1, 1, - morse_getaddr_cm, morse_getblkldd_cm, NULL ); - MORSE_Desc_Create_User( &B4, temp3, MorseComplexDouble, MORSE_descexpr4->mb, MORSE_descexpr4->nb, MORSE_descexpr4->bsiz, - m, MORSE_descexpr4->n, 0, 0, MORSE_descexpr4->m, MORSE_descexpr4->n, 1, 1, - morse_getaddr_cm, morse_getblkldd_cm, NULL ); - double total_loop_time =0.0; - double loop_time = 0.0; - for(p=0; plmiss.x[p]; - lmiss.y[0] = data->lmiss.y[p]; - //printf("p:%d\n", p); - START_TIMING(matrix_gen3) - MORSE_MLE_dcmg_Tile_Async(MorseUpperLower, MORSE_desck_t, &data->lobs, &lmiss, &data->lm, truth_theta, data->dm, data->kernel_fun, msequence, mrequest); - // MORSE_Sequence_Wait(msequence); - STOP_TIMING(matrix_gen3); - - START_TIMING(matrix_gen4) - MORSE_MLE_dcmg_Tile_Async(MorseUpperLower, MORSE_desck_a, &data->lobs, &lmiss, &data->lm, estimated_theta, data->dm, data->kernel_fun, msequence, mrequest); - // MORSE_Sequence_Wait(msequence); - STOP_TIMING(matrix_gen4); - - //printf("p:%d\n", p); - START_TIMING(copy2); - //(5)Copy MORSE_desck_a to MORSE_descK_atmp (MLOE-MMOM) - VERBOSE("Copy MORSE_desck_a to MORSE_descK_atmp (MLOE-MMOM)....."); - MORSE_dlacpy_Tile_Async(MorseUpperLower, MORSE_desck_t, MORSE_desck_ttmp, msequence, mrequest); - VERBOSE(" Done.\n"); - STOP_TIMING(copy2); - - // double *C = (double *) malloc(2 * n * sizeof(double)); - // MORSE_Tile_to_Lapack( MORSE_desck_t, C, nZobs); - // print_dmatrix("testC", 2, 16, C, 2); - //exit(0); - - START_TIMING(copy3); - //(6)Copy MORSE_desck_t to MORSE_desck_ttmp (MLOE-MMOM) - VERBOSE("Copy MORSE_desck_t to MORSE_desck_ttmp (MLOE-MMOM)....."); - MORSE_dlacpy_Tile_Async(MorseUpperLower, MORSE_desck_a, MORSE_desck_atmp, msequence, mrequest); - VERBOSE(" Done.\n"); - STOP_TIMING(copy3); - - - START_TIMING(loop_time); - START_TIMING(trsm1); - //(7) Triangular Solve (TRSM) k_a = TRSM(L_a^-1, k_a) - VERBOSE("Solving the linear system k_a = TRSM(L_a^-1, k_a) ...(MLOE-MMOM)\n"); - - - MORSE_dtrsm_Tile_Async(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, MORSE_descK_a, MORSE_desck_a, msequence, mrequest); - VERBOSE(" Done.\n"); - flops = flops + FLOPS_DTRSM(MorseLeft, MORSE_descK_a->m, MORSE_desck_a->n); - STOP_TIMING(trsm1); - - START_TIMING(trsm2); - //(8) Triangular Solve (TRSM) k_a = TRSM(L_a^-T, k_a) - VERBOSE("Solving the linear system k_a = TRSM(L_a^-T, k_a) ...(MLOE-MMOM)\n"); - MORSE_dtrsm_Tile_Async(MorseLeft, MorseLower, MorseTrans, MorseNonUnit, 1, MORSE_descK_a, MORSE_desck_a, msequence, mrequest); - VERBOSE(" Done.\n"); - flops = flops + FLOPS_DTRSM(MorseLeft, MORSE_descK_a->m, MORSE_desck_a->n); - STOP_TIMING(trsm2); - - START_TIMING(trsm3); - //(9) Triangular Solve (TRSM) k_t = TRSM(L_t^-1, k_t) - VERBOSE("(9)Solving the linear system k_t = TRSM(L_t^-1, k_t) ...(MLOE-MMOM)\n"); - MORSE_dtrsm_Tile_Async(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, MORSE_descK_t, MORSE_desck_t, msequence, mrequest); - VERBOSE(" Done.\n"); - flops = flops + FLOPS_DTRSM(MorseLeft, MORSE_descK_t->m, MORSE_desck_t->n); - STOP_TIMING(trsm3); - - START_TIMING(trsm4); - //(10) Triangular Solve (TRSM) k_t = TRSM(L_t^-T, k_t) - VERBOSE("(10)Solving the linear system k_t = TRSM(L_a^-T, k_t) ...(MLOE-MMOM)\n"); - MORSE_dtrsm_Tile_Async(MorseLeft, MorseLower, MorseTrans, MorseNonUnit, 1, MORSE_descK_t, MORSE_desck_t, msequence, mrequest); - VERBOSE(" Done.\n"); - flops = flops + FLOPS_DTRSM(MorseLeft, MORSE_descK_t->m, MORSE_desck_t->n); - STOP_TIMING(trsm4); - - START_TIMING(gevv1); - //(12) Calculate dgemm value= MORSE_desck_a^T * MORSE_desck_t - VERBOSE("(11)Calculate dgemm MORSE_descexpr4 = MORSE_desck_a^T * MORSE_desck_t... (Prediction Stage)"); - MORSE_dgemm_Tile_Async(MorseTrans, MorseNoTrans, 1, MORSE_desck_ttmp, MORSE_desck_t, 0, MORSE_descexpr3, msequence, mrequest); - VERBOSE(" Done.\n"); - flops = flops + FLOPS_DGEMM(MORSE_desck_ttmp->m, MORSE_desck_t->n, MORSE_descexpr3->n); - STOP_TIMING(gevv1); - - START_TIMING(gevv2); - //(11) Calculate dgemm value= MORSE_desck_t^T * MORSE_desck_a - VERBOSE("(12)Calculate dgemm MORSE_descexpr1 = MORSE_desck_t^T * MORSE_desck_a... (MLOE-MMOM)"); - MORSE_dgemm_Tile_Async(MorseTrans, MorseNoTrans, 1, MORSE_desck_ttmp, MORSE_desck_a, 0, MORSE_descexpr1, msequence, mrequest); - VERBOSE(" Done.\n"); - flops = flops + FLOPS_DGEMM(MORSE_desck_ttmp->m, MORSE_desck_a->n, MORSE_descexpr1->n); - STOP_TIMING(gevv2); - START_TIMING(gevv3); - //(8) Calculate dgemm value= MORSE_desck_a^T * MORSE_desck_atmp - VERBOSE("(13)Calculate dgemm MORSE_descexpr1 = MORSE_desck_a^T * MORSE_desck_a... (MLOE-MMOM)"); - MORSE_dgemm_Tile_Async(MorseTrans, MorseNoTrans, 1, MORSE_desck_atmp, MORSE_desck_a, 0, MORSE_descexpr4, msequence, mrequest); - - flops = flops + FLOPS_DGEMM(MORSE_desck_atmp->m, MORSE_desck_a->n, MORSE_descexpr4->n); - VERBOSE(" Done.\n"); - STOP_TIMING(gevv3); - START_TIMING(gevv4); - //(14) Calculate dgemm MORSE_desck_a= MORSE_descK_t * MORSE_desck_a (use k_t as k_a) - VERBOSE("(14)Calculate dgemm MORSE_desck_a = MORSE_descK_ttmp * MORSE_desck_a... (Prediction Stage)"); - MORSE_dgemm_Tile_Async(MorseNoTrans, MorseNoTrans, 1, MORSE_descK_ttmp, MORSE_desck_a, 0, MORSE_desck_t, msequence, mrequest); - VERBOSE(" Done.\n"); - flops = flops + FLOPS_DGEMM(MORSE_desck_ttmp->m, MORSE_desck_a->n, MORSE_desck_t->n); - STOP_TIMING(gevv4); - - START_TIMING(trsm5); - //(15) Triangular Solve (TRSM) k_atmp = TRSM(K_a^-1, k_atmp) - VERBOSE("(15)Solving the linear system k_atmp = TRSM(K_t^-1, k_atmp) ...\n"); - MORSE_dtrsm_Tile_Async(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, MORSE_descK_a, MORSE_desck_t, msequence, mrequest); - VERBOSE(" Done.\n"); - flops = flops + FLOPS_DTRSM(MorseLeft, MORSE_descK_a->m, MORSE_desck_t->n); - STOP_TIMING(trsm5); - - START_TIMING(trsm6); - //(16) Triangular Solve (TRSM) k_a = TRSM(K_a^-T, k_a) - VERBOSE("(16)Solving the linear system k_atmp = TRSM(K_t^-T, k_atmp) ...\n"); - MORSE_dtrsm_Tile_Async(MorseLeft, MorseLower, MorseTrans, MorseNonUnit, 1, MORSE_descK_a, MORSE_desck_t, msequence, mrequest); - VERBOSE(" Done.\n"); - flops = flops + FLOPS_DTRSM(MorseLeft, MORSE_descK_a->m, MORSE_desck_t->n); - STOP_TIMING(trsm6); - START_TIMING(gevv5); - //(13) Calculate dgemm value= MORSE_desck_a^T * MORSE_desck_t - VERBOSE("(17)Calculate dgemm MORSE_descexpr1 = MORSE_desck_a^T * MORSE_desck_a... (Prediction Stage)"); - MORSE_dgemm_Tile_Async(MorseTrans, MorseNoTrans, 1, MORSE_desck_atmp, MORSE_desck_t, 0, MORSE_descexpr2, msequence, mrequest); - VERBOSE(" Done.\n"); - flops = flops + FLOPS_DGEMM(MORSE_desck_atmp->m, MORSE_desck_t->n, MORSE_descexpr2->n); - STOP_TIMING(gevv5); - - //stop - //exit(0); - // double expr1=0; - // double expr2=0; - // double expr3=0; - // double expr4=0; - - - // MORSE_Tile_to_Lapack( MORSE_descexpr1, &expr1, 1); - // MORSE_Tile_to_Lapack( MORSE_descexpr2, &expr2, 1); - // MORSE_Tile_to_Lapack( MORSE_descexpr3, &expr3, 1); - // MORSE_Tile_to_Lapack( MORSE_descexpr4, &expr4, 1); - - - - STOP_TIMING(loop_time); - - total_loop_time +=loop_time; - - MORSE_dgeadd_Tile_Async(MorseNoTrans, 1 , MORSE_desctruthalpha, -2, MORSE_descexpr1, msequence, mrequest); - MORSE_dgeadd_Tile_Async(MorseNoTrans, 1 , MORSE_descexpr1, 1, MORSE_descexpr2, msequence, mrequest); - - MORSE_dgeadd_Tile_Async(MorseNoTrans, 1 , MORSE_desctruthalpha,-1, MORSE_descexpr3, msequence, mrequest); - MORSE_dgeadd_Tile_Async(MorseNoTrans, 1 , MORSE_descestimatedalpha, -1, MORSE_descexpr4, msequence, mrequest); - // temp1 = truth_theta[0]- 2* data->expr1 + data->expr2; - // temp2 = truth_theta[0]- data->expr3; - // temp3 = estimated_theta[0]- data->expr4; - - // printf ("%f, %f, %f,%f, %f\n", matrix_gen1, matrix_gen2, copy1, cholesky1, cholesky2); - // printf ("%f, %f, %f, %f\n", matrix_gen3, matrix_gen4, copy2, copy3); - // printf ("%f, %f, %f, %f, %f, %f, %f, %f, %f, %f, %f\n", trsm1, trsm2, trsm3, trsm3, trsm5, trsm6, gevv1, gevv2, gevv3, gevv4, gevv5); - //******************************* - - // MORSE_Tile_to_Lapack( MORSE_descexpr2, temp1, m); - // MORSE_Tile_to_Lapack( MORSE_descexpr3, temp2, m); - // MORSE_Tile_to_Lapack( MORSE_descexpr4, temp3, m); - - MORSE_dlacpy_Tile_Async( MorseUpperLower, MORSE_descexpr2, B2, msequence, mrequest); - MORSE_dlacpy_Tile_Async( MorseUpperLower, MORSE_descexpr3, B3, msequence, mrequest); - MORSE_dlacpy_Tile_Async( MorseUpperLower, MORSE_descexpr4, B4, msequence, mrequest); - - MORSE_Sequence_Wait(msequence); - if(m==1) - { - printf("%f, %f, %f, \n", temp1[0], temp2[0], temp3[0]); - loe_sum += temp1[0]/temp2[0]-1.0; - mom_sum += temp3[0]/temp1[0]-1.0; - - } - if(m==2) - { - // loe=(double *) malloc(nZmiss * sizeof(double)); - // mom=(double *) malloc(nZmiss * sizeof(double)); - printf("%f, %f, %f,\n", temp1[0], temp2[0], temp3[0]); - loe_sum += (temp1[0]+temp1[2])/(temp2[0]+temp2[2])-1.0; - mom_sum += (temp3[0]+temp3[2])/(temp1[0]+temp1[2])-1.0; - //printf("%f, %f, %f, %f, %f, %f\n", temp1[0], temp1[2], temp2[0],temp2[2],temp3[0],temp3[2]); - } - //loe_sum += loe[p]; - //mom_sum += mom[p]; - // - // printf("%f, %f, %f, %f, %f, %f\n", temp1[0], temp1[2], temp2[0],temp2[2],temp3[0],temp3[2]); - } -#if defined(CHAMELEON_USE_MPI) - if(MORSE_My_Mpi_Rank() == 0) - { -#endif - printf("\nnZmiss = %d\n", nZmiss); - printf("\nMLOE = %f", loe_sum/nZmiss); - printf("\nMMOM = %f\n\n\n", mom_sum/nZmiss); - data->mloe=(loe_sum/nZmiss); - data->mmom=(mom_sum/nZmiss); - printf(" ----(MLOE-MMOM) Gflop/s: %6.2f\n", flops / 1e9 / (total_loop_time + cholesky1 +cholesky2)); -#if defined(CHAMELEON_USE_MPI) - } -#endif - STOP_TIMING(all_time); - free(loe); - free(mom); - free(lmiss.x); - - free(temp1); - free(temp2); - free(temp3); - free(estimatedalpha); - free(truthalpha); - FILE *pFile; -#if defined(CHAMELEON_USE_MPI) - if ( MORSE_My_Mpi_Rank() == 0 ) - { -#endif - //output - results.mloe = data->mloe; - results.mmom = data->mmom; - results.mloe_exec = "sync"; - results.total_mloe_mmom_time = all_time; - results.matrix_gen_mloe_mmom_time = matrix_gen1+ matrix_gen2; - results.cho_fact_mloe_mmom_time = cholesky1 +cholesky2; - results.loop_mloe_mmom_time = total_loop_time; - results.total_mloe_mmom_flops = flops / 1e9 / (total_loop_time + cholesky1 +cholesky2); -#if defined(CHAMELEON_USE_MPI) - } -#endif - - fprintf(stderr," ---- mloe_mmom Time: %6.2f seconds\n\n", all_time); -} - - - - - - - - -//init Chameleon descriptors -void MORSE_dmle_Call(MLE_data *data, int ncores,int gpus, int dts, int p_grid, int q_grid, int N, int nZobs, int nZmiss) - //! //Initiate MORSE and allocate different descriptors for - /*! CHAMELEON - * Returns MLE_data data with initial values and new descriptors locations. - * @param[in] data: MLE_data struct with different MLE inputs. - * @param[in] ncores: number of CPU workers. - * @param[in] gpus: number of GPU workers. - * @param[in] dts: tile size (MB). - * @param[in] p_grid: p_grid in the case of distributed system. - * @param[in] q_grid: q_grid in the case of distributed system. - * @param[in] N: number of spatial locations. - * @param[in] nZobs: number of observed values (known observations). - * @param[in] nZmiss: number of missing values (unknown observations). - * */ -{ - - MORSE_sequence_t *msequence; - MORSE_request_t mrequest[2] = { MORSE_REQUEST_INITIALIZER, MORSE_REQUEST_INITIALIZER }; - MORSE_desc_t *MORSE_descC = NULL; - MORSE_desc_t *MORSE_descsubC11 = NULL; - MORSE_desc_t *MORSE_descsubC12 = NULL; - // MORSE_desc_t *MORSE_descsubC21 = NULL; - MORSE_desc_t *MORSE_descsubC22 = NULL; - MORSE_desc_t *MORSE_descZ = NULL; - MORSE_desc_t *MORSE_descZ1 = NULL; - MORSE_desc_t *MORSE_descZ2 = NULL; - MORSE_desc_t *MORSE_descZcpy = NULL; - MORSE_desc_t *MORSE_descproduct = NULL; - MORSE_desc_t *MORSE_descproduct1 = NULL; - MORSE_desc_t *MORSE_descproduct2 = NULL; - MORSE_desc_t *MORSE_descdet = NULL; - //MORSE_desc_t *MORSE_descZmiss = NULL; - //MORSE_desc_t *MORSE_descC12 = NULL; - //MORSE_desc_t *MORSE_descC22 = NULL; - //MORSE_desc_t *MORSE_descmse = NULL; - //MORSE_desc_t *MORSE_descZactual = NULL; - //MORSE_desc_t *MORSE_descZobs = NULL; - - - - // For ditributed system and should be removed - double *Zcpy = (double *) malloc(N * sizeof(double)); - - //Identifies a set of routines sharing common exception handling. - MORSE_Sequence_Create(&msequence); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC,NULL , MorseRealDouble, dts, dts, dts * dts, N, N, 0, 0, N, N, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZ, NULL, MorseRealDouble, dts, dts, dts * dts, N, 1, 0, 0, N, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZcpy, Zcpy, MorseRealDouble, dts, dts, dts * dts, N, 1, 0, 0, N, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descproduct, &data->dotp, MorseRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descproduct1, &data->dotp1, MorseRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descproduct2, &data->dotp2, MorseRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descdet, &data->det, MorseRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, p_grid, q_grid); - - - //printf("=====%d\n", MORSE_descZ->m/2); - - //Two submatrix descriptors for bi-variate profiling - // MORSE_descZ1 = morse_desc_submatrix(MORSE_descZ, 0, 0, MORSE_descZ->m/2, 1 ); - // MORSE_descZ2 = morse_desc_submatrix(MORSE_descZ, MORSE_descZ->m/2, 0, MORSE_descZ->m/2, 1); - - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZ1, NULL, MorseRealDouble, dts, dts, dts * dts, N/2, 1, 0, 0, N/2, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZ2, NULL, MorseRealDouble, dts, dts, dts * dts, N/2, 1, 0, 0, N/2, 1, p_grid, q_grid); - - - MORSE_descsubC11 = morse_desc_submatrix(MORSE_descC, 0, 0, MORSE_descC->m/2, MORSE_descC->n/2); - MORSE_descsubC12 = morse_desc_submatrix(MORSE_descC, MORSE_descC->m/2, 0, MORSE_descC->m/2, MORSE_descC->n/2); - //MORSE_descsubC21 = morse_desc_submatrix(MORSE_descC, 0, MORSE_descC->m/2, MORSE_descC->m/2, MORSE_descC->n/2); - MORSE_descsubC22 = morse_desc_submatrix(MORSE_descC, MORSE_descC->m/2, MORSE_descC->n/2, MORSE_descC->m/2, MORSE_descC->n/2); - - //if(nZmiss != 0) - //{ - // if(strcmp(data->actualZFPath,"")==0) - // { - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZobs, &Zcpy[nZmiss], MorseRealDouble, dts, dts, dts * dts, nZobs, 1, 0, 0, nZobs, 1, p_grid, q_grid); - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZactual, Zcpy, MorseRealDouble, dts, dts, dts * dts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - // } - // else - // { - // MORSE_descZobs = MORSE_descZcpy; - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZactual, NULL, MorseRealDouble, dts, dts, dts * dts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - // } - - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZmiss, NULL, MorseRealDouble, dts, dts, dts * dts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC12, NULL, MorseRealDouble, dts, dts, dts * dts, nZmiss, nZobs, 0, 0, nZmiss, nZobs, p_grid, q_grid); - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC22, NULL, MorseRealDouble, dts, dts, dts * dts, nZobs, nZobs, 0, 0, nZobs, nZobs, p_grid, q_grid); - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descmse, &data->mserror, MorseRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, p_grid, q_grid); - // } - //Fill data struct - data->descC = MORSE_descC; - data->descsubC11 = MORSE_descsubC11; - data->descsubC12 = MORSE_descsubC12; - // data->descsubC21 = MORSE_descsubC21; - data->descsubC22 = MORSE_descsubC22; - data->descZ = MORSE_descZ; - data->descZ1 = MORSE_descZ1; - data->descZ2 = MORSE_descZ2; - data->descZcpy = MORSE_descZcpy; - data->descdet = MORSE_descdet; - data->descproduct = MORSE_descproduct; - data->descproduct1 = MORSE_descproduct1; - data->descproduct2 = MORSE_descproduct2; - //data->descZmiss = MORSE_descZmiss; - //data->descC12 = MORSE_descC12; - //data->descC22 = MORSE_descC22; - //data->descmse = MORSE_descmse; - //data->descZactual = MORSE_descZactual; - //data->descZobs = MORSE_descZobs; - data->sequence = msequence; - data->request = mrequest; - //stop gsl error handler - gsl_set_error_handler_off () ; - -} - - diff --git a/exageostat_exact/src/compute/MLE_exact_s.c b/exageostat_exact/src/compute/MLE_exact_s.c deleted file mode 100644 index 052b032..0000000 --- a/exageostat_exact/src/compute/MLE_exact_s.c +++ /dev/null @@ -1,832 +0,0 @@ -/** - * - * Copyright (c) 2017-2020, King Abdullah University of Science and Technology - * All rights reserved. - * - * ExaGeoStat is a software package provided by KAUST - **/ -/** - * - * @file MLE_exact.c - * - * ExaGeoStat exact computation main functions (i.e., generate synthetic dataset, evaluate ML function, and predication). - * - * @version 1.1.0 - * - * @author Sameh Abdulah - * @date 2020-01-19 - * - **/ -#include "../include/MLE_exact_s.h" -//*************************************************************************************** -void MORSE_MLE_szvg_Tile (MLE_data *data, float * Nrand, double * initial_theta, int n, int dts, int log) - //! Generate Observations Vector (Z) for testing Maximum - /*! Likelihood function -- MORSE-sync - * Returns Z observation vector - * @param[in] data: MLE_data struct with different MLE inputs. - * @param[in] Nrand: A uniform random vector with size n that is used to generate Z . - * @param[in] initial_theta: Theta vector with three parameter (Variance, Range, Smoothness) - * that is used to to generate the Covariance Matrix. - * @param[in] n: Problem size (number spatial locations). - * @param[in] dts: tile size (MB) is used only in the case of HiCMA not MORSE. - * @param[in] test: if 0 -> real data mode, 1 ->test data mode. - * @param[in] log: equals one if the user needs to generate log files for his problem. - * */ -{ - MORSE_sequence_t *msequence = (MORSE_sequence_t *) data->sequence; - MORSE_request_t *mrequest = (MORSE_request_t *) data->request; - //In the case of testing mode, Z should be generated using Nrand and initial_theta - //if (test == 1) - //{ - //Generate the co-variance matrix C - VERBOSE("Initializing Covariance Matrix (Synthetic Dataset Generation Phase - single precision) ....."); - //MORSE_MLE_scmg_Tile_Async(MorseLower, data->descC, msequence, mrequest, &data->l1, &data->l1, initial_theta, data->dm); - MORSE_MLE_scmg_Tile_Async(MorseLower, data->descC, &data->l1, &data->l1, &data->lm, initial_theta, data->dm, data->kernel_fun, msequence, mrequest); - VERBOSE(" Done.\n"); - - //Copy Nrand to Z - VERBOSE("Generate Normal Random Distribution Vector Z (Synthetic Dataset Generation Phase - single precision) ....."); - MORSE_MLE_szcpy_Tile_Async(data->descZ, Nrand, msequence, mrequest); - VERBOSE(" Done.\n"); - - //Cholesky factorization for the Co-variance matrix C - VERBOSE("Cholesky factorization of Sigma (Synthetic Dataset Generation Phase - single precision) ....."); - int success = MORSE_spotrf_Tile(MorseLower, data->descC); - //printf(" success=%d \n", success); - //exit(0); - SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); - VERBOSE(" Done.\n"); - - //Triangular matrix-matrix multiplication - VERBOSE("Triangular matrix-matrix multiplication Z=L.e (Synthetic Dataset Generation Phase - single precision) ....."); - MORSE_strmm_Tile(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, data->descC, data->descZ); - VERBOSE(" Done.\n"); - - //if log==1 write vector to disk - if(log==1) - { - double *z; - MORSE_desc_t *MORSE_descZ = (MORSE_desc_t *)(data->descZ); -#if defined(CHAMELEON_USE_MPI) - z = (double *) malloc(n * sizeof(double)); - MORSE_Tile_to_Lapack( MORSE_descZ, z, n); -#else - z = MORSE_descZ->mat; -#endif - write_vectors(z, data, n); -#if defined(CHAMELEON_USE_MPI) - free(z); -#endif - } - - /* } - else - { - double * streamdata; - streamdata=(double *) malloc(n * sizeof(double)); - - //Reading Observations from disk and copy it to data->descZ - VERBOSE("Reading Observations from disk ....."); - streamdata = readObsFile(data->obsFPath, n); - MORSE_MLE_szcpy_Tile_Async(data->descZ, streamdata, msequence, mrequest); - MORSE_Sequence_Wait(data->sequence); - VERBOSE(" Done.\n"); - free(streamdata); - } - */ - MORSE_slaset_Tile(MorseUpperLower, 0, 0, data->descC); - VERBOSE("Done Z Vector Generation Phase. (Chameleon Synchronous - single precision)\n"); - VERBOSE("************************************************************\n"); -} - - - -void MORSE_MLE_szcpy( MLE_data *data, double *streamdata) -{ - MORSE_sequence_t *msequence = (MORSE_sequence_t *) data->sequence; - MORSE_request_t *mrequest = (MORSE_request_t *) data->request; - VERBOSE("Copy Z from vector to decriptor.\n"); - MORSE_MLE_szcpy_Tile_Async(data->descZ, streamdata, msequence, mrequest); - MORSE_Sequence_Wait(msequence); - VERBOSE("Done Z copying step.\n"); - VERBOSE("************************************************************\n"); -} - - - -void MORSE_MLE_szvg_Tile_Async(MLE_data *data, float * Nrand, double * initial_theta, int n, int dts, int log) - //! Generate Observations Vector (Z) for testing Maximum - /*! Likelihood function -- MORSE-Async - * Returns Z observation vector - * @param[in] data: MLE_data struct with different MLE inputs. - * @param[in] Nrand: A uniform random vector with size n that is used to generate Z . - * @param[in] initial_theta: Theta vector with three parameter (Variance, Range, Smoothness) - * that is used to to generate the Covariance Matrix. - * @param[in] n: Problem size (number spatial locations). - * @param[in] dts: tile size (MB) is used only in the case of HiCMA not MORSE. - * @param[in] test: if 0 -> real data mode, 1 ->test data mode. - * @param[in] log: equals one if the user needs to generate log files for his problem. - * */ -{ - MORSE_sequence_t *msequence = (MORSE_sequence_t *) data->sequence; - MORSE_request_t *mrequest = (MORSE_request_t *) data->request; - //In the case of testing mode, Z should be generated using Nrand and initial_theta - // if (test ==1) - // { - //Generate the co-variance matrix C - VERBOSE("Initializing Covariance Matrix (Synthetic Dataset Generation Phase - single precision)....."); - //MORSE_MLE_scmg_Tile_Async(MorseLower, data->descC, msequence, mrequest, &data->l1, &data->l1, initial_theta, data->dm); - MORSE_MLE_scmg_Tile_Async(MorseLower, data->descC, &data->l1, &data->l1, &data->lm, initial_theta, data->dm, data->kernel_fun, msequence, mrequest); - VERBOSE(" Done.\n"); - - //Copy Nrand to Z - VERBOSE("Generate Normal Random Distribution Vector Z (Synthetic Dataset Generation Phase - single precision) ....."); - MORSE_MLE_szcpy_Tile_Async(data->descZ, Nrand, msequence, mrequest); - VERBOSE(" Done.\n"); - - //Cholesky factorization for the Co-variance matrix C - VERBOSE("Cholesky factorization of Sigma (Synthetic Dataset Generation Phase - single precision) ....."); - int success = MORSE_spotrf_Tile_Async(MorseLower, data->descC, msequence, mrequest); - SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); - VERBOSE(" Done.\n"); - - //Triangular matrix-matrix multiplication - VERBOSE("Triangular matrix-matrix multiplication Z=L.e (Synthetic Dataset Generation Phase - single precision) ....."); - MORSE_strmm_Tile_Async(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, data->descC, data->descZ, msequence, mrequest); - VERBOSE(" Done.\n"); - - //if log == 1 write vector to disk - if(log == 1) - { - double *z; - MORSE_desc_t *MORSE_descZ = (MORSE_desc_t *)(data->descZ); -#if defined(CHAMELEON_USE_MPI) - z = (double *) malloc(n * sizeof(double)); - MORSE_Tile_to_Lapack( MORSE_descZ, z, n); -#else - z = MORSE_descZ->mat; -#endif - write_vectors(z, data, n); - -#if defined(CHAMELEON_USE_MPI) - free(z); -#endif - } - - /* } - else - { - double * streamdata; - streamdata=(double *) malloc(n * sizeof(double)); - - //Reading Observations from disk and copy it to data->descZ - VERBOSE("Reading Observations from disk ....."); - streamdata = readObsFile(data->obsFPath, n); - MORSE_MLE_szcpy_Tile_Async(data->descZ, streamdata, msequence, mrequest); - MORSE_Sequence_Wait(data->sequence); - VERBOSE(" Done.\n"); - free(streamdata); - } - */ - VERBOSE("Done Z Vector Generation Phase. (Chameleon Asynchronous - single precision)\n"); - VERBOSE("************************************************************\n"); -} - - - -double MORSE_smle_Tile(unsigned n, const double * theta, double * grad, void * MORSE_data) { - //! Maximum Likelihood Evaluation (MLE) - /*! -- MORSE-sync-single precision. - * Returns the loglikelihhod value for the given theta. - * @param[in] n: unsigned variable used by NLOPT library. - * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) - * that is used to to generate the Covariance Matrix. - * @param[in] grad: double variable used by NLOPT library. - * @param[in] MORSE_data: MLE_data struct with different MLE inputs. - * */ - //Initialization - double loglik=0.0, logdet=0.0, time_facto = 0.0, time_solve = 0.0, logdet_calculate = 0.0, matrix_gen_time=0.0, zcpy_time=0.0; - int N, NRHS, success; - double flops =0.0; - - MLE_data* data = ((MLE_data*)MORSE_data); - data->det = 0; - data->dotp = 0; - - MORSE_desc_t *MORSE_descC = (MORSE_desc_t *) data->descC; - MORSE_desc_t *MORSE_descZ = (MORSE_desc_t *) data->descZ; - MORSE_desc_t *MORSE_descZcpy = (MORSE_desc_t *) data->descZcpy; - MORSE_desc_t *MORSE_descdet = (MORSE_desc_t *) data->descdet; - MORSE_desc_t *MORSE_descproduct = (MORSE_desc_t *) data->descproduct; - MORSE_sequence_t *msequence = (MORSE_sequence_t *) data->sequence; - MORSE_request_t *mrequest = (MORSE_request_t *) data->request; - - N = MORSE_descC->m; - NRHS = MORSE_descZ->n; - START_TIMING(zcpy_time); - if(data->iter_count==0) - //Save a copy of descZ into descZcpy for restoring each iteration (Only for the first iteration) - MORSE_slacpy_Tile(MorseUpperLower, MORSE_descZ, MORSE_descZcpy); - else - { - VERBOSE("Re-store the original Z vector..."); - MORSE_slacpy_Tile(MorseUpperLower, MORSE_descZcpy,MORSE_descZ); - VERBOSE(" Done.\n"); - } - STOP_TIMING(zcpy_time); - - //**************************** - // double *C = (double *) malloc(N * N * sizeof(double)); - - //Generate new co-variance matrix C based on new theta - VERBOSE("Generate New Covariance Matrix (single precision)..."); - START_TIMING(matrix_gen_time); - //MORSE_MLE_scmg_Tile_Async(MorseLower, MORSE_descC, msequence, &mrequest[0], &data->l1, &data->l1, (double *)theta, data->dm); - MORSE_MLE_scmg_Tile_Async(MorseLower, MORSE_descC, &data->l1, &data->l1, &data->lm, (double *)theta, data->dm, data->kernel_fun, msequence, &mrequest[0]); - STOP_TIMING(matrix_gen_time); - MORSE_Sequence_Wait(msequence); - STOP_TIMING(matrix_gen_time); - VERBOSE(" Done.\n"); - //double *C = (double *) malloc(N * N * sizeof(double)); - // MORSE_Tile_to_Lapack( MORSE_descC, C, N); - // print_smatrix("test", 16, 16, C, 16); - - //double *C = (double *) malloc(N * N * sizeof(double)); - //MORSE_Tile_to_Lapack( MORSE_descC, C, N); - //print_smatrix("testC", 16, 16, C, 16); - - //Calculate Cholesky Factorization (C=LL-1) - VERBOSE("Cholesky factorization of Sigma (single precision)..."); - START_TIMING(time_facto); - success = MORSE_spotrf_Tile(MorseLower, MORSE_descC); - STOP_TIMING(time_facto); - SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); - flops = flops + FLOPS_SPOTRF(N); - VERBOSE(" Done.\n"); - - // MORSE_Tile_to_Lapack( MORSE_descC, C, N); - // print_smatrix("test", 16, 16, C, 16); - - // MORSE_Tile_to_Lapack( MORSE_descC, C, N); - //print_smatrix("testC", 16, 16, C, 16); - // exit(0); - - //Calculate log(|C|) --> log(square(|L|)) - VERBOSE("Calculating the log determinant (single precision) ..."); - START_TIMING(logdet_calculate); - MORSE_MLE_smdet_Tile_Async(MORSE_descC, msequence, &mrequest[0], MORSE_descdet); - MORSE_Sequence_Wait(msequence); - // printf("det: %f\n", data->det); - logdet= 2 * (float)data->det; - STOP_TIMING(logdet_calculate); - VERBOSE(" Done.\n"); - //exit(0); - - //Solving Linear System (L*X=Z)--->inv(L)*Z - VERBOSE("Solving the linear system (single precision)...\n"); - START_TIMING(time_solve); - MORSE_strsm_Tile(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, MORSE_descC, MORSE_descZ); - STOP_TIMING(time_solve); - flops = flops + FLOPS_STRSM(MorseLeft,N, NRHS); - VERBOSE(" Done.\n"); - - - //Calculate MLE likelihood - VERBOSE("Calculating the MLE likelihood function (single precision) ..."); - //dotp=0; - //MORSE_MLE_core_ddotp_Async(MORSE_descZ,MORSE_descproduct,msequence, &mrequest[0]); - //MORSE_Sequence_Wait(msequence); - - MORSE_sgemm_Tile (MorseTrans, MorseNoTrans, 1, MORSE_descZ, MORSE_descZ, 0, MORSE_descproduct); - - loglik = -(N /2) + (N /2)*log (N) -(N / 2 ) * log(data->sdotp) - 0.5*logdet - (double) (N / 2.0) * log(2.0 * PI); - VERBOSE(" Done.\n"); - - data->variance = (1.0/N) * data->sdotp; - - //Distribute the values in the case of MPI -#if defined(CHAMELEON_USE_MPI) - MPI_Bcast(&loglik,1, MPI_DOUBLE, 0, MPI_COMM_WORLD ); - MPI_Bcast(theta,3, MPI_DOUBLE, 0, MPI_COMM_WORLD ); - if(MORSE_My_Mpi_Rank() == 0) - { -#endif - //Print Iteration Summary - //fprintf(stderr,"***************************************************\n"); - fprintf(stderr,"\n------ddotproduct: %.17g ", data->sdotp); - - fprintf(stderr,"\n------logdet: %.17g ", logdet); - // //fprintf(stderr,"------det: %.*e ", det); - // fprintf(stderr,"\n------expr2: %2.6f \n",((double) (N / 2) * log(2 * PI))); - //fprintf(stderr," ---- Theta1: %2.6f ---- Theta2: %2.6f ---- Theta3: %2.6f ----LogLi: %2.6f\n", theta[0], theta[1], theta[2],loglik); - //reformat - printf(" %3d- Model Parameters (variance, range, smoothness): (%2.6f, %2.6f, %2.6f) ----> LogLi: %.17g\n", data->iter_count+1, data->variance, theta[1], theta[2],loglik); - - if(data->log == 1) - fprintf(data->pFileLog, " %3d- Model Parameters (variance, range, smoothness): (%2.6f, %2.6f, %2.6f) ----> LogLi: %.3g\n", data->iter_count+1, data->variance, theta[1], theta[2],loglik); - - printf(" ---- Facto Time: %6.2f\n", time_facto); - printf(" ---- logdet Time: %6.2f\n", logdet_calculate); - printf(" ---- dtrsm Time: %6.2f\n", time_solve); - printf(" ---- Matrix Generation Time: %6.2f\n", matrix_gen_time); - //fprintf(stderr," ---- re-store Z Vector Time: %6.2f\n", zcpy_time); - printf(" ---- Total Time: %6.2f\n", matrix_gen_time+ time_facto + logdet_calculate + time_solve); - //fprintf(stderr," ---- Gflop (ignore): %6.2f\n", flops / 1e9 ); - printf(" ---- Gflop/s: %6.2f\n", flops / 1e9 / (time_facto + time_solve)); - //fprintf(stderr," ---- Peak Performance: %6.2f Gflops/s\n", (ncores*p_grid*q_grid*16*2.3) ); - //fprintf(stderr,"***************************************************\n"); -#if defined(CHAMELEON_USE_MPI) - } -#endif -} - -double MORSE_smle_Tile_Async(unsigned n, const double * theta, double * grad, void * MORSE_data) { - //! Maximum Likelihood Evaluation (MLE) - /*! -- MORSE-Async - * Returns the loglikelihhod value for the given theta. - * @param[in] n: unsigned variable used by NLOPT library. - * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) - * that is used to to generate the Covariance Matrix. - * @param[in] grad: double variable used by NLOPT library. - * @param[in] MORSE_data: MLE_data struct with different MLE inputs. - * */ - //Initialization - double loglik=0.0, logdet=0.0, time_facto = 0.0, time_solve = 0.0, logdet_calculate = 0.0, matrix_gen_time=0.0, zcpy_time=0.0, flops = 0.0; - int N, NRHS, success; - - MLE_data* data = ((MLE_data*)MORSE_data); - data->det = 0; - data->dotp = 0; - - MORSE_desc_t *MORSE_descC = (MORSE_desc_t *) data->descC; - MORSE_desc_t *MORSE_descZ = (MORSE_desc_t *) data->descZ; - MORSE_desc_t *MORSE_descZcpy = (MORSE_desc_t *) data->descZcpy; - MORSE_desc_t *MORSE_descdet = (MORSE_desc_t *) data->descdet; - MORSE_desc_t *MORSE_descproduct = (MORSE_desc_t *) data->descproduct; - MORSE_sequence_t *msequence = (MORSE_sequence_t *) data->sequence; - MORSE_request_t *mrequest = (MORSE_request_t *) data->request; - - N = MORSE_descC->m; - NRHS = MORSE_descZ->n; - START_TIMING(zcpy_time); - if(data->iter_count == 0) - //Save a copy of descZ into descZcpy for restoring each iteration (Only for the first iteration) - MORSE_slacpy_Tile_Async(MorseUpperLower, MORSE_descZ, MORSE_descZcpy, msequence, mrequest); - else - { - VERBOSE("re-store the original Z vector (single precision)..."); - MORSE_slacpy_Tile_Async(MorseUpperLower, MORSE_descZcpy, MORSE_descZ, msequence, mrequest); - VERBOSE(" Done.\n"); - } - STOP_TIMING(zcpy_time); - - - //Generate new co-variance matrix C based on new theta - VERBOSE("Generate New Covariance Matrix (single precision)..."); - START_TIMING(matrix_gen_time); - //MORSE_MLE_scmg_Tile_Async(MorseLower, MORSE_descC, msequence, mrequest, &data->l1, &data->l1, (double*) theta, data->dm); - MORSE_MLE_scmg_Tile_Async(MorseLower, MORSE_descC, &data->l1, &data->l1, &data->lm, (double *)theta, data->dm, data->kernel_fun, msequence, &mrequest[0]); - MORSE_Sequence_Wait(msequence); - STOP_TIMING(matrix_gen_time); - VERBOSE(" Done.\n"); - - //Calculate Cholesky Factorization (C=LL-1) - VERBOSE("Cholesky factorization of Sigma (single precision)..."); - START_TIMING(time_facto); - success = MORSE_spotrf_Tile_Async(MorseLower, MORSE_descC, msequence, mrequest); - STOP_TIMING(time_facto); - SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); - flops = flops + FLOPS_SPOTRF(N); - VERBOSE(" Done.\n"); - - //Calculate log(|C|) --> log(square(|L|)) - VERBOSE("Calculating the log determinant (single precision) ..."); - START_TIMING(logdet_calculate); - MORSE_MLE_smdet_Tile_Async(MORSE_descC, msequence, &mrequest[0], MORSE_descdet); - MORSE_Sequence_Wait(msequence); - logdet= 2 * data->det; - STOP_TIMING(logdet_calculate); - VERBOSE(" Done.\n"); - - //Solving Linear System (L*X=Z)--->inv(L)*Z - VERBOSE("Solving the linear system (single precision) ...\n"); - START_TIMING(time_solve); - MORSE_strsm_Tile_Async(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, MORSE_descC, MORSE_descZ, msequence, mrequest); - STOP_TIMING(time_solve); - flops = flops + FLOPS_STRSM(MorseLeft, N, NRHS); - VERBOSE(" Done.\n"); - - //Claculate MLE likelihood - VERBOSE("Calculating the MLE likelihood function (single precision) ..."); - MORSE_sgemm_Tile_Async (MorseTrans, MorseNoTrans, 1, MORSE_descZ, MORSE_descZ, 0, MORSE_descproduct, msequence, mrequest); - loglik = -0.5 * data->dotp - 0.5*logdet - (double) (N / 2.0) * log(2.0 * PI); - VERBOSE(" Done.\n"); - - //Distribute the values in the case of MPI -#if defined(CHAMELEON_USE_MPI) - MPI_Bcast(&loglik,1, MPI_DOUBLE, 0, MPI_COMM_WORLD ); - MPI_Bcast(theta,3, MPI_DOUBLE, 0, MPI_COMM_WORLD ); - if(MORSE_My_Mpi_Rank() == 0) - { -#endif - //Print Iteration Summary - //fprintf(stderr,"***************************************************\n"); - //fprintf(stderr,"------ddotproduct: %2.6f ", data->dotp); - //fprintf(stderr,"------logdet: %2.6f ", logdet); - //fprintf(stderr,"------det: %.*e ", det); - //fprintf(stderr,"------expr2: %2.6f ",((double) (N / 2) * log(2 * PI))); - //fprintf(stderr," ---- Theta1: %2.6f ---- Theta2: %2.6f ---- Theta3: %2.6f ----LogLi: %2.6f\n", theta[0], theta[1], theta[2],loglik); - //reformat - fprintf(stderr," %3d- Model Parameters (variance, range, smoothness): (%2.6f, %2.6f, %2.6f) ----> LogLi: %2.6f\n", data->iter_count+1, theta[0], theta[1], theta[2],loglik); - - if(data->log == 1) - fprintf(data->pFileLog, " %3d- Model Parameters (variance, range, smoothness): (%2.6f, %2.6f, %2.6f) ----> LogLi: %2.6f\n", data->iter_count+1, theta[0], theta[1], theta[2],loglik); - - fprintf(stderr," ---- Facto Time: %6.2f\n", time_facto); - fprintf(stderr," ---- logdet Time: %6.2f\n", logdet_calculate); - fprintf(stderr," ---- dtrsm Time: %6.2f\n", time_solve); - fprintf(stderr," ---- Matrix Generation Time: %6.2f\n", matrix_gen_time); - //fprintf(stderr," ---- re-store Z Vector Time: %6.2f\n", zcpy_time); - fprintf(stderr," ---- Total Time: %6.2f\n", matrix_gen_time+time_facto + logdet_calculate + time_solve); - //fprintf(stderr," ---- Gflop (ignore): %6.2f\n", flops / 1e9 ); - fprintf(stderr," ---- Gflop/s: %6.2f\n", flops / 1e9 / (time_facto + time_solve)); - //fprintf(stderr," ---- Peak Performance: %6.2f Gflops/s\n", (ncores*p_grid*q_grid*16*2.3) ); - //fprintf(stderr,"***************************************************\n"); -#if defined(CHAMELEON_USE_MPI) - } -#endif - - data->iter_count++; - // for experiments - data->avg_exec_time_per_iter+=matrix_gen_time+time_facto + logdet_calculate + time_solve; - data->avg_flops_per_iter+=flops / 1e9 / (time_facto +time_solve); - data->final_loglik=loglik; - - return loglik; -} - - -void MORSE_smle_Predict_Allocate(MLE_data *MORSE_data, int nZmiss, int nZobs, int dts, int p_grid, int q_grid, int mse_flag) -{ - - MORSE_desc_t *MORSE_descZmiss = NULL; - MORSE_desc_t *MORSE_descC12 = NULL; - MORSE_desc_t *MORSE_descC22 = NULL; - MORSE_desc_t *MORSE_descmse = NULL; - MORSE_desc_t *MORSE_descZactual = NULL; - MORSE_desc_t *MORSE_descZobs = NULL; - MLE_data *data = (MLE_data*) MORSE_data; - - if(nZmiss <= 0) - { - fprintf(stderr," Number of missing values should be positive value\n"); - return; - } - //Descriptors Creation - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZobs, NULL, MorseRealFloat, dts, dts, dts * dts, nZobs, 1, 0, 0, nZobs, 1, p_grid, q_grid); - if( mse_flag == 1) - { - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZactual, NULL, MorseRealFloat, dts, dts, dts * dts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descmse, &data->mserror, MorseRealFloat, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, p_grid, q_grid); - } - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZmiss, NULL, MorseRealFloat, dts, dts, dts * dts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC12, NULL, MorseRealFloat, dts, dts, dts * dts, nZmiss, nZobs, 0, 0, nZmiss, nZobs, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC22, NULL, MorseRealFloat, dts, dts, dts * dts, nZobs, nZobs, 0, 0, nZobs, nZobs, p_grid, q_grid); - - //Initiate data descriptors - data->descZmiss = MORSE_descZmiss; - data->descC12 = MORSE_descC12; - data->descC22 = MORSE_descC22; - data->descmse = MORSE_descmse; - data->descZactual = MORSE_descZactual; - data->descZobs = MORSE_descZobs; -} - - -double MORSE_smle_Predict_Tile(MLE_data *MORSE_data, double * theta, int nZmiss, int nZobs, double *Zobs, double *Zactual, double *Zmiss, int n) - //! //Predict missing values base on a set of given values and covariance matrix - /*! -- MORSE-sync - * Returns the prediction Mean Square Error (MSE) as double - * @param[in] MORSE_data: MLE_data struct with different MLE inputs. - * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) - * that is used to to generate the Covariance Matrix. - * @param[in] nZmiss: number of missing values (unknown observations). - * @param[in] nZobs: number of observed values (known observations). - * @param[in] n: number of spatial locations. - * */ -{ - - //initialization - //double *z = NULL, *streamdata = NULL; - double time_solve = 0.0; - double mat_gen_time = 0.0; - double time_gemm = 0.0; - double time_mse = 0.0; - double flops = 0.0; - - MORSE_desc_t *MORSE_descZmiss = NULL; - MORSE_desc_t *MORSE_descC12 = NULL; - MORSE_desc_t *MORSE_descC22 = NULL; - MORSE_desc_t *MORSE_descmse = NULL; - MORSE_desc_t *MORSE_descZactual = NULL; - MORSE_desc_t *MORSE_descZobs = NULL; - MLE_data *data = (MLE_data*) MORSE_data; - MORSE_sequence_t *msequence = (MORSE_sequence_t *) data->sequence; - MORSE_request_t *mrequest = (MORSE_request_t *) data->request; - data->mserror = 0; - - if(nZmiss <= 0) - { - fprintf(stderr," Number of missing values should be positive value\n"); - return -1; - } - - - //Initiate data descriptors - MORSE_descZmiss = data->descZmiss; - MORSE_descC12 = data->descC12; - MORSE_descC22 = data->descC22; - MORSE_descmse = data->descmse; - MORSE_descZactual = data->descZactual; - MORSE_descZobs = data->descZobs; - -#if defined(CHAMELEON_USE_MPI) - MPI_Bcast(&data->variance,1, MPI_DOUBLE, 0, MPI_COMM_WORLD ); -#endif - theta[0]=data->variance; - - printf("estimated parameters: %f - %f - %f\n", theta[0], theta[1], theta[2]); - //Copy data to vectors - VERBOSE("Copy measurments vector to descZobs descriptor..."); - //MORSE_MLE_szcpy_Tile_Async(MORSE_descZobs, Zobs, msequence, mrequest); - MORSE_Lapack_to_Tile( Zobs, nZobs, MORSE_descZobs); - VERBOSE(" Done.\n"); - - if( Zactual != NULL) - { - VERBOSE("Copy actual measurments vector to descZactual descriptor..."); - //MORSE_MLE_szcpy_Tile_Async(MORSE_descZactual, Zactual, msequence, mrequest); - MORSE_Lapack_to_Tile( Zactual, nZmiss, MORSE_descZactual); - VERBOSE(" Done.\n"); - } - - MORSE_Sequence_Wait(msequence); - - - - START_TIMING(mat_gen_time); - //Generate C22 covariance matrix - VERBOSE("Generate C22 Covariance Matrix... (Prediction Stage - single precision)"); - MORSE_MLE_scmg_Tile_Async(MorseLower, MORSE_descC22, &data->lobs, &data->lobs, &data->lm, theta, data->dm, data->kernel_fun, msequence, mrequest); - MORSE_Sequence_Wait(msequence); - //flops = flops + FLOPS_DPOTRF(nZobs); - VERBOSE(" Done.\n"); - - - //Generate C12 covariance matrix - VERBOSE("Generate C12 Covariance Matrix... (Prediction Stage - single precision)"); - //MORSE_MLE_scmg_Tile_Async(MorseLower, MORSE_descC12, msequence, mrequest, &data->lmiss, &data->lobs, theta, data->dm); - MORSE_MLE_dcmg_Tile_Async(MorseLower, MORSE_descC12, &data->lmiss, &data->lobs, &data->lm, theta, data->dm, data->kernel_fun, msequence, mrequest); - MORSE_Sequence_Wait(msequence); - //flops = flops + FLOPS_DPOTRF(nZmiss); - VERBOSE(" Done.\n"); - STOP_TIMING(mat_gen_time); - - - - START_TIMING(time_solve); - //Start prediction - VERBOSE("Calculate dposv C22 Covariance Matrix... (Prediction Stage - single precision)"); - MORSE_sposv_Tile(MorseLower, MORSE_descC22, MORSE_descZobs); - flops = flops + FLOPS_SPOTRF(nZobs); - flops = flops + FLOPS_STRSM(MorseLeft, nZobs, nZobs); - VERBOSE(" Done.\n"); - STOP_TIMING(time_solve); - - - START_TIMING(time_gemm); - VERBOSE("Calculate dgemm Zmiss= C12 * Zobs Covariance Matrix... (Prediction Stage - single precision)"); - MORSE_sgemm_Tile (MorseNoTrans, MorseNoTrans, 1, MORSE_descC12, MORSE_descZobs, 0, MORSE_descZmiss); - flops = flops + FLOPS_SGEMM(nZmiss, nZobs, nZobs); - VERBOSE(" Done.\n"); - STOP_TIMING(time_gemm); - - - //return back descZmiss to zmiss vector - MORSE_Tile_to_Lapack( MORSE_descZmiss, Zmiss, nZmiss); - - //Estimate Mean Square Error - if( Zactual != NULL) - { - START_TIMING(time_mse); - VERBOSE("Calculate Mean Square Error (MSE) ... (Prediction Stage) \n"); - MORSE_MLE_smse_Tile_Async(MORSE_descZactual, MORSE_descZmiss, MORSE_descmse, msequence, mrequest); - MORSE_Sequence_Wait(msequence); - VERBOSE(" Done.\n"); - STOP_TIMING(time_mse); - data->mserror /= nZmiss; - } - else - data->mserror = -1; - -#if defined(CHAMELEON_USE_MPI) - if(MORSE_My_Mpi_Rank() == 0) - { -#endif - if(data->log == 1) - fprintf(data->pFileLog, "\n\n# of missing observations :%d\n\nPrediction Execution Time: %2.6f, Flops: %2.6f, Mean Square Error (MSE): %2.6f\n\n", nZmiss, (mat_gen_time+time_solve+time_mse), (flops / 1e9 / (time_solve)), data->mserror ); - - write_prediction_result("predict_result.dat", n, data->hicma_acc, 0, 0, data->mserror, (mat_gen_time+time_solve+ time_gemm), (flops / 1e9 / (time_solve))); - -#if defined(CHAMELEON_USE_MPI) - } -#endif - - - return data->mserror; - -} - - - -double MORSE_smle_Predict_Tile_Async(MLE_data *MORSE_data, double * theta, int nZmiss, int nZobs, double *Zobs, double *Zactual, double *Zmiss, int n) - //! //Predict missing values base on a set of given values and covariance matrix - /*! -- MORSE-Async - * Returns the prediction Mean Square Error (MSE) as double - * @param[in] MORSE_data: MLE_data struct with different MLE inputs. - * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) - * that is used to to generate the Covariance Matrix. - * @param[in] nZmiss: number of missing values (unknown observations). - * @param[in] nZobs: number of observed values (known observations). - * @param[in] n: number of spatial locations. - * */ -{ - - //initialization - double time_solve = 0.0; - double mat_gen_time = 0.0; - double time_gemm = 0.0; - double time_mse = 0.0; - double flops = 0.0; - - MORSE_desc_t *MORSE_descZmiss = NULL; - MORSE_desc_t *MORSE_descC12 = NULL; - MORSE_desc_t *MORSE_descC22 = NULL; - MORSE_desc_t *MORSE_descmse = NULL; - MORSE_desc_t *MORSE_descZactual = NULL; - MORSE_desc_t *MORSE_descZobs = NULL; - MLE_data *data = (MLE_data*) MORSE_data; - MORSE_sequence_t *msequence = (MORSE_sequence_t *) data->sequence; - MORSE_request_t *mrequest = (MORSE_request_t *) data->request; - data->mserror = 0; - - if(nZmiss <= 0) - { - fprintf(stderr," Number of missing values should be positive value\n"); - return -1; - } - - //Initiate data descriptors. - MORSE_descZmiss = data->descZmiss; - MORSE_descC12 = data->descC12; - MORSE_descC22 = data->descC22; - MORSE_descmse = data->descmse; - MORSE_descZactual = data->descZactual; - MORSE_descZobs = data->descZobs; - - //Copy data to vectors. - VERBOSE("Copy measurments vector to descZobs descriptor (single precision)..."); - //MORSE_Lapack_to_Tile_Async( Zobs, nZobs, MORSE_descZobs, msequence, mrequest); - VERBOSE(" Done.\n"); - - if( Zactual != NULL) - { - VERBOSE("Copy actual measurments vector to descZactual descriptor (single precision)..."); - // MORSE_Lapack_to_Tile_Async( Zactual, nZmiss, MORSE_descZactual, msequence, mrequest); - VERBOSE(" Done.\n"); - } - - - START_TIMING(mat_gen_time); - //Generate C22 covariance matrix. - VERBOSE("Generate C22 Covariance Matrix... (Prediction Stage - single precision)"); - //MORSE_MLE_scmg_Tile_Async(MorseLower, MORSE_descC22, msequence, mrequest, &data->lobs, &data->lobs, theta, data->dm); - MORSE_MLE_scmg_Tile_Async(MorseLower, MORSE_descC22, &data->lobs, &data->lobs, &data->lm, theta, data->dm, data->kernel_fun, msequence, mrequest); - VERBOSE(" Done.\n"); - - - //Generate C12 covariance matrix. - VERBOSE("Generate C12 Covariance Matrix... (Prediction Stage - single precision)"); - //MORSE_MLE_scmg_Tile_Async(MorseLower, MORSE_descC12, msequence, mrequest, &data->lmiss, &data->lobs, theta, data->dm); - MORSE_MLE_scmg_Tile_Async(MorseLower, MORSE_descC12, &data->lmiss, &data->lobs, &data->lm, theta, data->dm, data->kernel_fun, msequence, mrequest); - MORSE_Sequence_Wait(msequence); - VERBOSE(" Done.\n"); - STOP_TIMING(mat_gen_time); - - - - START_TIMING(time_solve); - //Start prediction. - VERBOSE("Calculate dposv C22 Covariance Matrix... (Prediction Stage - single precision)"); - MORSE_sposv_Tile_Async(MorseLower, MORSE_descC22, MORSE_descZobs, msequence, mrequest); - flops = flops + FLOPS_SPOTRF(nZobs); - flops = flops + FLOPS_STRSM(MorseLeft, nZobs, nZobs); - VERBOSE(" Done.\n"); - STOP_TIMING(time_solve); - - - START_TIMING(time_gemm); - VERBOSE("Calculate dgemm Zmiss= C12 * Zobs Covariance Matrix... (Prediction Stage - single precision)"); - MORSE_sgemm_Tile_Async (MorseNoTrans, MorseNoTrans, 1, MORSE_descC12, MORSE_descZobs, 0, MORSE_descZmiss, msequence, mrequest); - flops = flops + FLOPS_SGEMM(nZmiss, nZobs, nZobs); - VERBOSE(" Done.\n"); - STOP_TIMING(time_gemm); - - - //return back descZmiss to zmiss vector - //MORSE_Tile_to_Lapack_Async( MORSE_descZmiss, Zmiss, nZmiss, msequence, mrequest); - - //Estimate Mean Square Error - if( Zactual != NULL) - { - START_TIMING(time_mse); - VERBOSE("Calculate Mean Square Error (MSE) ... (Prediction Stage - single precision) \n"); - MORSE_MLE_smse_Tile_Async(MORSE_descZactual, MORSE_descZmiss, MORSE_descmse, msequence, mrequest); - VERBOSE(" Done.\n"); - STOP_TIMING(time_mse); - data->mserror /= nZmiss; - } - else - data->mserror = -1; - -#if defined(CHAMELEON_USE_MPI) - if(MORSE_My_Mpi_Rank() == 0) - { -#endif - if(data->log == 1) - fprintf(data->pFileLog, "\n\n# of missing observations :%d\n\nPrediction Execution Time: %2.6f, Flops: %2.6f, Mean Square Error (MSE): %2.6f\n\n", nZmiss, (mat_gen_time+time_solve+time_mse), (flops / 1e9 / (time_solve)), data->mserror ); - - write_prediction_result("predict_result.dat", n, data->hicma_acc, 0, 0, data->mserror, (mat_gen_time+time_solve+ time_gemm), (flops / 1e9 / (time_solve))); -#if defined(CHAMELEON_USE_MPI) - } -#endif - - - return data->mserror; - -} - - - -//init Chameleon descriptors -void MORSE_smle_Call(MLE_data *data, int ncores,int gpus, int dts, int p_grid, int q_grid, int N, int nZobs, int nZmiss) - //! //Initiate MORSE and allocate different descriptors for - /*! CHAMELEON - * Returns MLE_data data with initial values and new descriptors locations. - * @param[in] data: MLE_data struct with different MLE inputs. - * @param[in] ncores: number of CPU workers. - * @param[in] gpus: number of GPU workers. - * @param[in] dts: tile size (MB). - * @param[in] p_grid: p_grid. - * @param[in] q_grid: q_grid. - * @param[in] N: number of spatial locations. - * @param[in] nZmiss: number of missing values (unknown observations). - * @param[in] nZobs: number of observed values (known observations). - * */ -{ - - MORSE_sequence_t *msequence; - MORSE_request_t mrequest[2] = { MORSE_REQUEST_INITIALIZER, MORSE_REQUEST_INITIALIZER }; - MORSE_desc_t *MORSE_descC = NULL; - MORSE_desc_t *MORSE_descZ = NULL; - MORSE_desc_t *MORSE_descZcpy = NULL; - MORSE_desc_t *MORSE_descproduct = NULL; - MORSE_desc_t *MORSE_descdet = NULL; - - // For ditributed system and should be removed - float *Zcpy = (float *) malloc(N * sizeof(float)); - - //Identifies a set of routines sharing common exception handling. - MORSE_Sequence_Create(&msequence); - - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC, NULL , MorseRealFloat, dts, dts, dts * dts, N, N, 0, 0, N, N, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZ, NULL, MorseRealFloat, dts, dts, dts * dts, N, 1, 0, 0, N, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZcpy, Zcpy, MorseRealFloat, dts, dts, dts * dts, N, 1, 0, 0, N, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descproduct, &data->sdotp, MorseRealFloat, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descdet, &data->det, MorseRealFloat, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, p_grid, q_grid); - - //Fill data struct - data->descC = MORSE_descC; - data->descZ = MORSE_descZ; - data->descZcpy = MORSE_descZcpy; - data->descdet = MORSE_descdet; - data->descproduct = MORSE_descproduct; - data->sequence = msequence; - data->request = mrequest; - //stop gsl error handler - gsl_set_error_handler_off () ; - -} - - diff --git a/exageostat_exact/src/compute/MLE_ng_dexact.c b/exageostat_exact/src/compute/MLE_ng_dexact.c new file mode 100644 index 0000000..d1e0dba --- /dev/null +++ b/exageostat_exact/src/compute/MLE_ng_dexact.c @@ -0,0 +1,1925 @@ +/** + * + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology + * All rights reserved. + * + * ExaGeoStat is a software package provided by KAUST + **/ +/** + * + * @file MLE_exact.c + * + * ExaGeoStat exact computation main functions (i.e., generate synthetic dataset, evaluate ML function, and predication). + * + * @version 1.2.0 + * + * @author Sameh Abdulah + * @date 2020-06-23 + * + **/ +#include "../include/MLE_exact.h" + +//*************************************************************************************** +void EXAGEOSTAT_MLE_ng_dzvg_Tile(MLE_data *data, double*Nrand, double*initial_theta, int n, int dts, int log) +//! Generate Observations Vector (Z) for testing Maximum +/*! Likelihood function -- CHAM-sync + * Returns Z observation vector + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] Nrand: A uniform random vector with size n that is used to generate Z . + * @param[in] initial_theta: Theta vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] n: Problem size (number spatial locations). + * @param[in] dts: tile size (MB) is used only in the case of HiCMA not CHAM. + * @param[in] log: equals one if the user needs to generate log files for his problem. + * */ +{ + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + double*univariate_theta; + double*univariate2_theta; + double*univariate3_theta; + double nu12; + double rho; + double sigma_square12; + //In the case of testing mode, Z should be generated using Nrand and initial_theta + //Generate the co-variance matrix C + VERBOSE("Initializing Covariance Matrix (Synthetic Dataset Generation Phase)....."); + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { + + univariate_theta = (double*) malloc(3 * sizeof(double)); + univariate2_theta = (double*) malloc(3 * sizeof(double)); + univariate3_theta = (double*) malloc(3 * sizeof(double)); + univariate_theta[0] = initial_theta[0]; + univariate_theta[1] = initial_theta[2]; + univariate_theta[2] = initial_theta[3]; + + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, data->descsubC11, &data->l1, + &data->l1, &data->lm, univariate_theta, + data->dm, "univariate_matern_stationary", msequence, &mrequest[0]); + + nu12 = 0.5 * (initial_theta[3] + initial_theta[4]); + rho = initial_theta[5] * sqrt((tgamma(initial_theta[3] + 1) * tgamma(initial_theta[4] + 1)) / + (tgamma(initial_theta[3]) * tgamma(initial_theta[4]))) * + tgamma(nu12) / tgamma(nu12 + 1); + sigma_square12 = rho * sqrt(initial_theta[0] * initial_theta[1]); + + univariate2_theta[0] = sigma_square12; + univariate2_theta[1] = initial_theta[2]; + univariate2_theta[2] = nu12; + + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, data->descsubC12, &data->l1, + &data->l1, &data->lm, univariate2_theta, + data->dm, "univariate_matern_stationary", msequence, &mrequest[0]); + + univariate3_theta[0] = initial_theta[1]; + univariate3_theta[1] = initial_theta[2]; + univariate3_theta[2] = initial_theta[4]; + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, data->descsubC22, &data->l1, &data->l1, + &data->lm, univariate3_theta, data->dm, + "univariate_matern_stationary", msequence, &mrequest[0]); + } else if (strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) { + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, data->descC, &data->l1, + &data->l1, &data->lm, initial_theta, + data->dm, "univariate_matern_stationary", msequence, mrequest); + } else { + printf("%s\n", data->kernel_fun); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, data->descC, &data->l1, + &data->l1, &data->lm, initial_theta, + data->dm, data->kernel_fun, msequence, mrequest); + } + + CHAMELEON_Sequence_Wait(msequence); + VERBOSE(" Done.\n"); + + //Copy Nrand to Z + VERBOSE("Generate Normal Random Distribution Vector Z (Synthetic Dataset Generation Phase) ....."); + EXAGEOSTAT_MLE_dzcpy_Tile_Async(data->descZ, Nrand, msequence, mrequest); + VERBOSE(" Done.\n"); + + //Cholesky factorization for the Co-variance matrix C + VERBOSE("Cholesky factorization of Sigma (Synthetic Dataset Generation Phase) ....."); + int success = CHAMELEON_dpotrf_Tile(ChamLower, data->descC); + SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); + VERBOSE(" Done.\n"); + + //Triangular matrix-matrix multiplication + VERBOSE("Triangular matrix-matrix multiplication Z=L.e (Synthetic Dataset Generation Phase) ....."); + CHAMELEON_dtrmm_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, data->descC, data->descZ); + VERBOSE(" Done.\n"); + + //Gaussian to non-gaussian transformation + VERBOSE("Convert Z Gaussian to non-Gaussian (Synthetic Dataset Generation Phase) ....."); + EXAGEOSTAT_g_to_ng_Tile_Async(data->descZ, initial_theta, msequence, mrequest); + VERBOSE(" Done.\n"); + + if (log == 1) { + double*z; + CHAM_desc_t *CHAMELEON_descZ = (CHAM_desc_t *) (data->descZ); + VERBOSE("Writing generated data to the disk (Synthetic Dataset Generation Phase) ....."); +#if defined(CHAMELEON_USE_MPI) + z = (double*) malloc(n * sizeof(double)); + CHAMELEON_Tile_to_Lapack( CHAMELEON_descZ, z, n); + if ( CHAMELEON_My_Mpi_Rank() == 0 ) + write_vectors(z, data, n); + free(z); +#else + z = CHAMELEON_descZ->mat; + write_vectors(z, data, n); +#endif + VERBOSE(" Done.\n"); + } + + CHAMELEON_dlaset_Tile_Async(ChamUpperLower, 0, 0, data->descC, &msequence, &mrequest); + VERBOSE("Done Z Vector Generation Phase. (Chameleon Synchronous)\n"); + VERBOSE("************************************************************\n"); +} + +void EXAGEOSTAT_MLE_ng_dzcpy(MLE_data *data, double*streamdata) +//! Copy measurements vector from Lapack +/*! format to Chameleon format. + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] streamdata: measurments vector in lapack format. + * */ +{ + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + VERBOSE("Copy Z from vector to decriptor.\n"); + EXAGEOSTAT_MLE_dzcpy_Tile_Async(data->descZ, streamdata, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); + VERBOSE("Done Z copying step.\n"); + VERBOSE("************************************************************\n"); +} + +void EXAGEOSTAT_MLE_ng_dzvg_Tile_Async(MLE_data *data, double*Nrand, double*initial_theta, int n, int dts, int log) +//! Generate Observations Vector (Z) for testing Maximum +/*! Likelihood function -- CHAM-Async + * Returns Z observation vector + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] Nrand: A uniform random vector with size n that is used to generate Z . + * @param[in] initial_theta: Theta vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] n: Problem size (number spatial locations). + * @param[in] dts: tile size (MB) is used only in the case of HiCMA not CHAM. + * @param[in] log: equals one if the user needs to generate log files for his problem. + * */ +{ + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + //In the case of testing mode, Z should be generated using Nrand and initial_theta + //Generate the co-variance matrix C + VERBOSE("Initializing Covariance Matrix (Synthetic Dataset Generation Phase)....."); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, data->descC, &data->l1, + &data->l1, &data->lm, initial_theta, + data->dm, data->kernel_fun, msequence, mrequest); + VERBOSE(" Done.\n"); + + //Copy Nrand to Z + VERBOSE("Generate Normal Random Distribution Vector Z (Synthetic Dataset Generation Phase) ....."); + EXAGEOSTAT_MLE_dzcpy_Tile_Async(data->descZ, Nrand, msequence, mrequest); + VERBOSE(" Done.\n"); + + //Cholesky factorization for the Co-variance matrix C + VERBOSE("Cholesky factorization of Sigma (Synthetic Dataset Generation Phase) ....."); + int success = CHAMELEON_dpotrf_Tile_Async(ChamLower, data->descC, msequence, mrequest); + SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); + VERBOSE(" Done.\n"); + + //Triangular matrix-matrix multiplication + VERBOSE("Triangular matrix-matrix multiplication Z=L.e (Synthetic Dataset Generation Phase) ....."); + CHAMELEON_dtrmm_Tile_Async(ChamLeft, ChamLower, ChamNoTrans, + ChamNonUnit, 1, data->descC, + data->descZ, msequence, mrequest); + VERBOSE(" Done.\n"); + + //if log == 1 write vector to disk + if (log == 1) { + double*z; + CHAM_desc_t *CHAMELEON_descZ = (CHAM_desc_t *) (data->descZ); +#if defined(CHAMELEON_USE_MPI) + z = (double*) malloc(n * sizeof(double)); + CHAMELEON_Tile_to_Lapack( CHAMELEON_descZ, z, n); +#else + z = CHAMELEON_descZ->mat; +#endif + write_vectors(z, data, n); + +#if defined(CHAMELEON_USE_MPI) + free(z); +#endif + } + + VERBOSE("Done Z Vector Generation Phase. (Chameleon Asynchronous)\n"); + VERBOSE("************************************************************\n"); +} + +double EXAGEOSTAT_dmle_ng_Tile(unsigned n, const double*theta, double*grad, void *CHAM_data) { + //! Maximum Likelihood Evaluation (MLE) + /*! -- CHAM-sync + * Returns the loglikelihhod value for the given theta. + * @param[in] n: unsigned variable used by NLOPT library. + * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] grad: double variable used by NLOPT library. + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. + * */ + //Initialization + double loglik = 0.0, logdet = 0.0, time_facto = 0.0, + time_solve = 0.0, logdet_calculate = 0.0, + matrix_gen_time = 0.0, dzcpy_time = 0.0; + + int N, NRHS, success, i, num_params; + double flops = 0.0; + double*univariate_theta; + double*univariate2_theta; + double*univariate3_theta; + double nu12; + double rho; + double sigma_square12; + int nan_flag = 0; + MLE_data *data = ((MLE_data *) CHAM_data); + data->det = 0; + data->dotp = 0; + + CHAM_desc_t *CHAM_descC = (CHAM_desc_t *) data->descC; + CHAM_desc_t *CHAM_descsubC11 = (CHAM_desc_t *) data->descsubC11; + CHAM_desc_t *CHAM_descsubC12 = (CHAM_desc_t *) data->descsubC12; + CHAM_desc_t *CHAM_descsubC22 = (CHAM_desc_t *) data->descsubC22; + CHAM_desc_t *CHAMELEON_descZ = (CHAM_desc_t *) data->descZ; + CHAM_desc_t *CHAMELEON_descZ1 = (CHAM_desc_t *) data->descZ1; + CHAM_desc_t *CHAMELEON_descZ2 = (CHAM_desc_t *) data->descZ2; + CHAM_desc_t *CHAMELEON_descZcpy = (CHAM_desc_t *) data->descZcpy; + CHAM_desc_t *CHAM_descdet = (CHAM_desc_t *) data->descdet; + CHAM_desc_t *CHAMELEON_descsum = (CHAM_desc_t *) data->descsum; + CHAM_desc_t *CHAM_descproduct = (CHAM_desc_t *) data->descproduct; + CHAM_desc_t *CHAM_descproduct1 = (CHAM_desc_t *) data->descproduct1; + CHAM_desc_t *CHAM_descproduct2 = (CHAM_desc_t *) data->descproduct2; + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + + if (strcmp(data->kernel_fun, "univariate_matern_stationary") == 0 + || strcmp(data->kernel_fun, "univariate_pow_exp_stationary") == 0) + num_params = 3; + else if (strcmp(data->kernel_fun, "univariate_matern_nuggets_stationary") == 0) + num_params = 4; + else if (strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) + num_params = 9; + else if (strcmp(data->kernel_fun, "bivariate_matern_flexible") == 0) + num_params = 11; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0) + num_params = 6; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0) + num_params = 6; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) + num_params = 6; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) + num_params = 6; + else if (strcmp(data->kernel_fun, "univariate_spacetime_matern_stationary") == 0) + num_params = 7; + else if (strcmp(data->kernel_fun, "univariate_matern_non_gaussian") == 0 || + strcmp(data->kernel_fun, "univariate_exp_non_gaussian") == 0) + num_params = 6; + else { + fprintf(stderr, "Choosen kernel is not exist(2)!\n"); + fprintf(stderr, "Called function is: %s\n", __func__); + exit(0); + } + + N = CHAM_descC->m; + NRHS = CHAMELEON_descZ->n; + + START_TIMING(dzcpy_time); + if (data->iter_count == 0) + //Save a copy of descZ into descZcpy for restoring each iteration (Only for the first iteration) + CHAMELEON_dlacpy_Tile(ChamUpperLower, CHAMELEON_descZ, CHAMELEON_descZcpy); + if (strcmp(data->recovery_file, "") != 0 && + recover(data->recovery_file, data->iter_count, theta, &loglik, num_params)); + else { + START_TIMING(dzcpy_time); + if (data->iter_count == 0) + //Save a copy of descZ into descZcpy for restoring each iteration (Only for the first iteration) + CHAMELEON_dlacpy_Tile(ChamUpperLower, CHAMELEON_descZ, CHAMELEON_descZcpy); + else { + VERBOSE("Re-store the original Z vector..."); + CHAMELEON_dlacpy_Tile(ChamUpperLower, CHAMELEON_descZcpy, CHAMELEON_descZ); + VERBOSE(" Done.\n"); + } + STOP_TIMING(dzcpy_time); + + //Generate new co-variance matrix C based on new theta + VERBOSE("Generate New Covariance Matrix..."); + START_TIMING(matrix_gen_time); + + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { + + univariate_theta = (double*) malloc(3 * sizeof(double)); + univariate2_theta = (double*) malloc(3 * sizeof(double)); + univariate3_theta = (double*) malloc(3 * sizeof(double)); + univariate_theta[0] = theta[0]; + univariate_theta[1] = theta[2]; + univariate_theta[2] = theta[3]; + + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, CHAM_descsubC11, &data->l1, + &data->l1, &data->lm, univariate_theta, data->dm, + "univariate_matern_stationary", msequence, &mrequest[0]); + + nu12 = 0.5 * (theta[3] + theta[4]); + + rho = theta[5] * sqrt((tgamma(theta[3] + 1) * tgamma(theta[4] + 1)) / + (tgamma(theta[3]) * tgamma(theta[4]))) * + tgamma(nu12) / tgamma(nu12 + 1); + sigma_square12 = rho * sqrt(theta[0] * theta[1]); + + univariate2_theta[0] = sigma_square12; + univariate2_theta[1] = theta[2]; + univariate2_theta[2] = nu12; + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, CHAM_descsubC12, &data->l1, + &data->l1, &data->lm, univariate2_theta, + data->dm, "univariate_matern_stationary", msequence, &mrequest[0]); + + STOP_TIMING(matrix_gen_time); + VERBOSE(" Done.\n"); + + univariate3_theta[0] = theta[1]; + univariate3_theta[1] = theta[2]; + univariate3_theta[2] = theta[4]; + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, CHAM_descsubC22, &data->l1, + &data->l1, &data->lm, univariate3_theta, + data->dm, "univariate_matern_stationary", msequence, &mrequest[0]); + } else + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAM_descC, &data->l1, + &data->l1, &data->lm, (double*) theta, data->dm, + data->kernel_fun, msequence, &mrequest[0]); + + CHAMELEON_Sequence_Wait(msequence); + STOP_TIMING(matrix_gen_time); + VERBOSE(" Done.\n"); + + //Calculate Cholesky Factorization (C=LL-1) + VERBOSE("Cholesky factorization of Sigma..."); + START_TIMING(time_facto); + success = CHAMELEON_dpotrf_Tile(ChamLower, CHAM_descC); + STOP_TIMING(time_facto); + SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); + flops = flops + FLOPS_DPOTRF(N); + VERBOSE(" Done.\n"); + + //Calculate log(|C|) --> log(square(|L|)) + VERBOSE("Calculating the log determinant ..."); + START_TIMING(logdet_calculate); + EXAGEOSTAT_MLE_dmdet_Tile_Async(CHAM_descC, msequence, &mrequest[0], CHAM_descdet); + CHAMELEON_Sequence_Wait(msequence); + + logdet = 2 * data->det; + STOP_TIMING(logdet_calculate); + VERBOSE(" Done.\n"); + if (strcmp(data->kernel_fun, "univariate_matern_non_gaussian") == 0 + || strcmp(data->kernel_fun, "univariate_exp_non_gaussian") == 0) { + + VERBOSE("Transform Z vector to Gaussian field ..."); + EXAGEOSTAT_ng_transform_Tile_Async(data->descZ, CHAM_descproduct, theta, msequence, + mrequest); //exit(0); + CHAMELEON_Sequence_Wait(msequence); + VERBOSE(" Done.\n"); + data->sum = 0; + //to check the infinity case( to be optimized) + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAMELEON_descZ, CHAMELEON_descZ, 0, CHAM_descproduct); + double local_sum = data->dotp; + double global_sum; +#if defined(CHAMELEON_USE_MPI) + MPI_Allreduce(&local_sum, &global_sum, 1, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD); +#else + global_sum = data->dotp; +#endif + if (isnan(global_sum)) { +#if defined(CHAMELEON_USE_MPI) + if(CHAMELEON_My_Mpi_Rank() == 0) + { +#endif + printf(" %3d- Model Parameters (", data->iter_count + 1); + i = 0; + for (; i < num_params; i++) { + printf("%.8f", theta[i]); + if (i < num_params - 1) + printf(","); + + results.estimated_theta[i] = theta[i]; + if (data->log == 1) + fprintf(data->pFileLog, "%.8f, ", theta[i]); + } + printf(")----> (infinity case) LogLi: %.18f\n", -FLT_MAX); +#if defined(CHAMELEON_USE_MPI) + } +#endif + data->iter_count++; + return -FLT_MAX; + } + VERBOSE("Calculate non-Gaussian loglik ..."); + EXAGEOSTAT_ng_loglike_Tile_Async(data->descZ, CHAMELEON_descsum, theta, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); + VERBOSE(" Done.\n"); + } + + //Solving Linear System (L*X=Z)--->inv(L)*Z + VERBOSE("Solving the linear system ...\n"); + START_TIMING(time_solve); + CHAMELEON_dtrsm_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAM_descC, CHAMELEON_descZ); + STOP_TIMING(time_solve); + flops = flops + FLOPS_DTRSM(ChamLeft, N, NRHS); + VERBOSE(" Done.\n"); + + //Calculate MLE likelihood + VERBOSE("Calculating the MLE likelihood function ..."); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAMELEON_descZ, CHAMELEON_descZ, 0, CHAM_descproduct); + + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { + + loglik = -(N / 2) + (N / 2) * log(N) - (N / 2) * log(data->dotp) - 0.5 * logdet - + (double) (N / 2.0) * log(2.0 * PI); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAMELEON_descZ1, CHAMELEON_descZ1, 0, CHAM_descproduct1); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAMELEON_descZ2, CHAMELEON_descZ2, 0, CHAM_descproduct2); + data->variance1 = (1.0 / (N / 2)) * data->dotp1; + data->variance2 = (1.0 / (N / 2)) * data->dotp2; + + } else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) { + + loglik = -(N / 2) + (N / 2) * log(N) - (N / 2) * log(data->dotp) + - 0.5 * logdet - (double) (N / 2.0) * log(2.0 * PI); + + //to be optimized + EXAGEOSTAT_stride_vec_Tile_Async(CHAMELEON_descZ, CHAMELEON_descZ1, CHAMELEON_descZ2, msequence, + &mrequest[0]); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAMELEON_descZ1, CHAMELEON_descZ1, 0, CHAM_descproduct1); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAMELEON_descZ2, CHAMELEON_descZ2, 0, CHAM_descproduct2); + data->variance1 = (1.0 / (N / 2)) * data->dotp1; + data->variance2 = (1.0 / (N / 2)) * data->dotp2; + + } else { + loglik = -0.5 * data->dotp - 0.5 * logdet;//- (double) (N / 2.0) * log(2.0 * PI); + data->variance = theta[0]; + if (strcmp(data->kernel_fun, "univariate_matern_non_gaussian") == 0 + || strcmp(data->kernel_fun, "univariate_exp_non_gaussian") == 0) { + loglik = + loglik - data->sum - N * log(theta[3]) - (double) (N / 2.0) * log(2.0 * PI); //theta[3] = omega; + } else { + loglik = loglik - (double) (N / 2.0) * log(2.0 * PI); + } + } + VERBOSE(" Done.\n"); + } + +//Distribute the values in the case of MPI +#if defined(CHAMELEON_USE_MPI) + MPI_Bcast(&loglik, 1, MPI_DOUBLE, 0, MPI_COMM_WORLD ); + if(CHAMELEON_My_Mpi_Rank() == 0) + { +#endif + + fprintf(stderr, "\n------ddotproduct: %.17g ", data->dotp); + fprintf(stderr, "\n------logdet: %.17g ", logdet); + //reformat + printf(" %3d- Model Parameters (", data->iter_count + 1); + + if (data->log == 1) + fprintf(data->pFileLog, " %3d- Model Parameters (", data->iter_count + 1); + + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { + printf("%.8f, %.8f,", data->variance1, data->variance2); + if (data->log == 1) + fprintf(data->pFileLog, "%.8f, %.8f,", data->variance1, data->variance2); + i = 2; + results.estimated_theta[0] = data->variance1; + results.estimated_theta[1] = data->variance2; + } else + i = 0; + for (; i < num_params; i++) { + printf("%.8f", theta[i]); + if (i < num_params - 1) + printf(","); + + results.estimated_theta[i] = theta[i]; + if (data->log == 1) + fprintf(data->pFileLog, "%.8f, ", theta[i]); + } + + printf(")----> LogLi: %.18f\n", loglik); + if (data->log == 1) + fprintf(data->pFileLog, ")----> LogLi: %.18f\n", loglik); + + + printf(" ---- Facto Time: %6.2f\n", time_facto); + printf(" ---- logdet Time: %6.2f\n", logdet_calculate); + printf(" ---- dtrsm Time: %6.2f\n", time_solve); + printf(" ---- Matrix Generation Time: %6.2f\n", matrix_gen_time); + printf(" ---- Total Time: %6.2f\n", matrix_gen_time + time_facto + logdet_calculate + time_solve); + printf(" ---- Gflop/s: %6.2f\n", flops / 1e9 / (time_facto + time_solve)); +#if defined(CHAMELEON_USE_MPI) + } +#endif + + data->iter_count++; +// for experiments + data->avg_exec_time_per_iter += matrix_gen_time + time_facto + logdet_calculate + time_solve; + data->avg_generation_per_iter += matrix_gen_time; + data->avg_cholesky_per_iter += time_facto; + data->avg_solve_per_iter += time_solve; + data->avg_flops_per_iter += flops / 1e9 / (time_facto + time_solve); + data->final_loglik = loglik; + +//output + results.final_loglik = loglik; + + return loglik; +} + +double EXAGEOSTAT_dmle_ng_Tile_Async(unsigned n, const double*theta, double*grad, void *CHAM_data) { + //! Maximum Likelihood Evaluation (MLE) + /*! -- CHAM-Async + * Returns the loglikelihhod value for the given theta. + * @param[in] n: unsigned variable used by NLOPT library. + * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] grad: double variable used by NLOPT library. + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. + * */ + //Initialization + double loglik = 0.0, logdet = 0.0, time_facto = 0.0, time_solve = 0.0, logdet_calculate = 0.0, matrix_gen_time = 0.0, dzcpy_time = 0.0, flops = 0.0; + int N, NRHS, success; + + MLE_data *data = ((MLE_data *) CHAM_data); + data->det = 0; + data->dotp = 0; + + CHAM_desc_t *CHAM_descC = (CHAM_desc_t *) data->descC; + CHAM_desc_t *CHAMELEON_descZ = (CHAM_desc_t *) data->descZ; + CHAM_desc_t *CHAMELEON_descZcpy = (CHAM_desc_t *) data->descZcpy; + CHAM_desc_t *CHAM_descdet = (CHAM_desc_t *) data->descdet; + CHAM_desc_t *CHAM_descproduct = (CHAM_desc_t *) data->descproduct; + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + + N = CHAM_descC->m; + NRHS = CHAMELEON_descZ->n; + START_TIMING(dzcpy_time); + if (data->iter_count == 0) + //Save a copy of descZ into descZcpy for restoring each iteration (Only for the first iteration) + CHAMELEON_dlacpy_Tile_Async(ChamUpperLower, CHAMELEON_descZ, CHAMELEON_descZcpy, msequence, mrequest); + else { + VERBOSE("re-store the original Z vector..."); + CHAMELEON_dlacpy_Tile_Async(ChamUpperLower, CHAMELEON_descZcpy, CHAMELEON_descZ, msequence, mrequest); + VERBOSE(" Done.\n"); + } + STOP_TIMING(dzcpy_time); + + //Generate new co-variance matrix C based on new theta + VERBOSE("Generate New Covariance Matrix..."); + START_TIMING(matrix_gen_time); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAM_descC, &data->l1, &data->l1, &data->lm, (double*) theta, data->dm, + data->kernel_fun, msequence, &mrequest[0]); + CHAMELEON_Sequence_Wait(msequence); + STOP_TIMING(matrix_gen_time); + VERBOSE(" Done.\n"); + + //Calculate Cholesky Factorization (C=LL-1) + VERBOSE("Cholesky factorization of Sigma..."); + START_TIMING(time_facto); + success = CHAMELEON_dpotrf_Tile_Async(ChamLower, CHAM_descC, msequence, mrequest); + STOP_TIMING(time_facto); + SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); + flops = flops + FLOPS_DPOTRF(N); + VERBOSE(" Done.\n"); + + //Calculate log(|C|) --> log(square(|L|)) + VERBOSE("Calculating the log determinant ..."); + START_TIMING(logdet_calculate); + EXAGEOSTAT_MLE_dmdet_Tile_Async(CHAM_descC, msequence, &mrequest[0], CHAM_descdet); + CHAMELEON_Sequence_Wait(msequence); + logdet = 2 * data->det; + STOP_TIMING(logdet_calculate); + VERBOSE(" Done.\n"); + + //Solving Linear System (L*X=Z)--->inv(L)*Z + VERBOSE("Solving the linear system ...\n"); + START_TIMING(time_solve); + CHAMELEON_dtrsm_Tile_Async(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAM_descC, CHAMELEON_descZ, msequence, + mrequest); + STOP_TIMING(time_solve); + flops = flops + FLOPS_DTRSM(ChamLeft, N, NRHS); + VERBOSE(" Done.\n"); + + //Claculate MLE likelihood + VERBOSE("Calculating the MLE likelihood function ..."); + void *ws; + CHAMELEON_dgemm_Tile_Async(ChamTrans, ChamNoTrans, 1, CHAMELEON_descZ, CHAMELEON_descZ, 0, CHAM_descproduct, &ws, + msequence, mrequest); + loglik = -0.5 * data->dotp - 0.5 * logdet - (double) (N / 2.0) * log(2.0 * PI); + VERBOSE(" Done.\n"); + + //Distribute the values in the case of MPI +#if defined(CHAMELEON_USE_MPI) + MPI_Bcast(&loglik,1, MPI_DOUBLE, 0, MPI_COMM_WORLD ); + MPI_Bcast(theta,3, MPI_DOUBLE, 0, MPI_COMM_WORLD ); + if(CHAMELEON_My_Mpi_Rank() == 0) + { +#endif + //Print Iteration Summary + fprintf(stderr, "------ddotproduct: %.8f ", data->dotp); + fprintf(stderr, "------logdet: %.8f ", logdet); + fprintf(stderr, "------expr2: %.8f ", ((double) (N / 2) * log(2 * PI))); + //reformat + fprintf(stderr, " %3d- Model Parameters (variance, range, smoothness): (%.8f, %.8f, %.8f) ----> LogLi: %.8f\n", + data->iter_count + 1, theta[0], theta[1], theta[2], loglik); + + if (data->log == 1) + fprintf(data->pFileLog, + " %3d- Model Parameters (variance, range, smoothness): (%.8f, %.8f, %.8f) ----> LogLi: %.8f\n", + data->iter_count + 1, theta[0], theta[1], theta[2], loglik); + + fprintf(stderr, " ---- Facto Time: %6.2f\n", time_facto); + fprintf(stderr, " ---- logdet Time: %6.2f\n", logdet_calculate); + fprintf(stderr, " ---- dtrsm Time: %6.2f\n", time_solve); + fprintf(stderr, " ---- Matrix Generation Time: %6.2f\n", matrix_gen_time); + fprintf(stderr, " ---- Total Time: %6.2f\n", matrix_gen_time + time_facto + logdet_calculate + time_solve); +#if defined(CHAMELEON_USE_MPI) + } +#endif + + data->iter_count++; + // for experiments + data->avg_exec_time_per_iter += matrix_gen_time + time_facto + logdet_calculate + time_solve; + data->avg_flops_per_iter += flops / 1e9 / (time_facto + time_solve); + data->final_loglik = loglik; + + return loglik; +} + + +void EXAGEOSTAT_dmle_ng_Predict_Allocate(MLE_data *CHAM_data, int nZmiss, int nZobs, int dts, int p_grid, int q_grid, + int mse_flag) +//! Allocate prediction operation descriptors. +/*! + * Returns MLE_data data with initial values and new descriptors locations. + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. + * @param[in] nZmiss: number of missing values (unknown observations). + * @param[in] nZobs: number of observed values (known observations). + * @param[in] dts: tile size (MB). + * @param[in] p_grid: p_grid in the case of distributed system. + * @param[in] q_grid: q_grid in the case of distributed system. + * @param[in] mse_flag: flag to enable or disable Mean Square Error (MSE) computing. + * */ +{ + + CHAM_desc_t *CHAMELEON_descZmiss = NULL; + CHAM_desc_t *CHAM_descC12 = NULL; + CHAM_desc_t *CHAM_descC22 = NULL; + CHAM_desc_t *CHAM_descmse = NULL; + CHAM_desc_t *CHAMELEON_descZactual = NULL; + CHAM_desc_t *CHAMELEON_descZobs = NULL; + CHAM_desc_t *CHAMELEON_descr = NULL; + CHAM_desc_t *CHAMELEON_descrcpy = NULL; + MLE_data *data = (MLE_data *) CHAM_data; + + if (nZmiss <= 0) { + fprintf(stderr, " Number of missing values should be positive value\n"); + return; + } + + //Descriptors Creation + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZobs, NULL, ChamRealDouble, dts, dts, dts * dts, nZobs, 1, 0, 0, + nZobs, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descr, NULL, ChamRealDouble, dts, dts, dts * dts, nZobs, nZmiss, 0, 0, + nZobs, nZmiss, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descrcpy, NULL, ChamRealDouble, dts, dts, dts * dts, nZobs, nZmiss, 0, 0, + nZobs, nZmiss, p_grid, q_grid); + + if (mse_flag == 1) { + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZactual, NULL, ChamRealDouble, dts, dts, dts * dts, nZmiss, 1, 0, + 0, nZmiss, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descmse, &data->mserror, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, + 1, 1, p_grid, q_grid); + } + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZmiss, NULL, ChamRealDouble, dts, dts, dts * dts, nZmiss, 1, 0, 0, + nZmiss, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descC22, NULL, ChamRealDouble, dts, dts, dts * dts, nZobs, nZobs, 0, 0, nZobs, + nZobs, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descC12, NULL, ChamRealDouble, dts, dts, dts * dts, nZmiss, nZmiss, 0, 0, + nZmiss, nZmiss, p_grid, q_grid); + //Initiate data descriptors + data->descZmiss = CHAMELEON_descZmiss; + data->descC12 = CHAM_descC12; + data->descC22 = CHAM_descC22; + data->descmse = CHAM_descmse; + data->descZactual = CHAMELEON_descZactual; + data->descZobs = CHAMELEON_descZobs; + data->descr = CHAMELEON_descr; + data->descrcpy = CHAMELEON_descrcpy; +} + +double EXAGEOSTAT_dmle_ng_Predict_Tile(MLE_data *CHAM_data, double*theta, int nZmiss, + int nZobs, double*Zobs, double*Zactual, double*Zmiss, int n) +//! //Predict missing values base on a set of given values and covariance matrix +/*! -- CHAM-sync + * Returns the prediction Mean Square Error (MSE) as double + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. + * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] nZmiss: number of missing values (unknown observations). + * @param[in] nZobs: number of observed values (known observations). + * @param[in] Zobs: observed values vector (known observations). + * @param[in] Zmiss missing values vector (unknown observations). + * @param[in] Zactual: actual missing values vector (in the case of testing MSE). + * @param[in] n: number of spatial locations. + * */ +{ + //initialization + double time_solve = 0.0; + double dposv_time = 0.0; + double mat_gen_time = 0.0; + double mat_gen_time2 = 0.0; + double gemms_time = 0.0; + double trsms_time = 0.0; + double time_mse = 0.0; + double flops = 0.0; + int num_params = 0; + double mu = -1; + double sigma_sq = -1; + CHAM_desc_t *CHAM_descproduct = NULL; + CHAM_desc_t *CHAMELEON_descZmiss = NULL; + CHAM_desc_t *CHAM_descC12 = NULL; + CHAM_desc_t *CHAM_descC22 = NULL; + CHAM_desc_t *CHAM_descmse = NULL; + CHAM_desc_t *CHAMELEON_descZactual = NULL; + CHAM_desc_t *CHAMELEON_descZobs = NULL; + CHAM_desc_t *CHAMELEON_descr = NULL; + CHAM_desc_t *CHAMELEON_descrcpy = NULL; + + MLE_data *data = (MLE_data *) CHAM_data; + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + data->mserror = 0; + + if (nZmiss <= 0) { + fprintf(stderr, " Number of missing values should be positive value\n"); + return -1; + } + + //Initiate data descriptors + CHAMELEON_descZmiss = data->descZmiss; + CHAM_descC12 = data->descC12; + CHAM_descC22 = data->descC22; + CHAM_descmse = data->descmse; + CHAMELEON_descZactual = data->descZactual; + CHAMELEON_descZobs = data->descZobs; + CHAMELEON_descr = data->descr; + CHAMELEON_descrcpy = data->descrcpy; + CHAM_descproduct = data->descproduct; + + //Copy data to vectors + VERBOSE("Copy measurments vector to descZobs descriptor..."); + CHAMELEON_Lapack_to_Tile(Zobs, nZobs, CHAMELEON_descZobs); + VERBOSE(" Done.\n"); + + if (Zactual != NULL) { + VERBOSE("Copy actual measurments vector to descZactual descriptor..."); + CHAMELEON_Lapack_to_Tile(Zactual, nZmiss, CHAMELEON_descZactual); + VERBOSE(" Done.\n"); + } + + CHAMELEON_Sequence_Wait(msequence); + + if (strcmp(data->kernel_fun, "univariate_matern_non_gaussian") == 0 || + strcmp(data->kernel_fun, "univariate_exp_non_gaussian") == 0) + num_params = 6; + else { + fprintf(stderr, "Choosen kernel is not exist(1)!\n"); + fprintf(stderr, "Called function is: %s\n", __func__); + exit(0); + } + + printf("estimated parameters:"); + int i = 0; + for (i = 0; i < num_params; i++) { + printf("%.8f,", theta[i]); + + } + printf(")\n"); + START_TIMING(mat_gen_time); + + //Convert the non-Gaussian observation to Gaussian + EXAGEOSTAT_ng_transform_Tile_Async(CHAMELEON_descZobs, CHAM_descproduct, theta, msequence, mrequest); + //Generate R_theta covariance matrix + VERBOSE("Generate R_theta Covariance Matrix... (Prediction Stage)"); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAM_descC22, &data->lobs, &data->lobs, + &data->lm, theta, data->dm, data->kernel_fun, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); + VERBOSE(" Done.\n"); + STOP_TIMING(mat_gen_time); + + //************************************************************* + START_TIMING(dposv_time); + VERBOSE("Calculate dposv R_theta Covariance Matrix... (Prediction Stage)"); + CHAMELEON_dposv_Tile(ChamLower, CHAM_descC22, CHAMELEON_descZobs); + flops = flops + FLOPS_DPOTRF(nZobs); + flops = flops + 2 * (FLOPS_DTRSM(ChamLeft, CHAM_descC22->m, CHAMELEON_descZobs->n)); + VERBOSE(" Done.\n"); + STOP_TIMING(dposv_time); + + //************************************************************* + START_TIMING(mat_gen_time2); + VERBOSE("Generate r_theta Covariance Matrix... (Prediction Stage)"); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAMELEON_descr, &data->lobs, &data->lmiss, + &data->lm, theta, data->dm, data->kernel_fun, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); + VERBOSE(" Done.\n"); + STOP_TIMING(mat_gen_time2); + + //************************************************************* + CHAMELEON_dlacpy_Tile(ChamUpperLower, CHAMELEON_descr, CHAMELEON_descrcpy); + //************************************ + START_TIMING(trsms_time); + VERBOSE("Calculate dposv r_theta Covariance Matrix... (Prediction Stage)"); + CHAMELEON_dtrsm_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAM_descC22, CHAMELEON_descr); + CHAMELEON_dtrsm_Tile(ChamLeft, ChamLower, ChamTrans, ChamNonUnit, 1, CHAM_descC22, CHAMELEON_descr); + flops = flops + 2 * (FLOPS_DTRSM(ChamLeft, CHAM_descC22->m, CHAMELEON_descZobs->n)); + VERBOSE(" Done.\n"); + STOP_TIMING(trsms_time); + + START_TIMING(gemms_time); + VERBOSE("For each missing location, Generate correlation vector CHAMELEON_descr (Prediction Stage) ....."); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAMELEON_descrcpy, CHAMELEON_descZobs, 0, CHAMELEON_descZmiss); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAMELEON_descrcpy, CHAMELEON_descr, 0, CHAM_descC12); + STOP_TIMING(gemms_time); + + double*r = (double*) malloc(nZmiss * nZmiss * sizeof(double)); + double*Zmiss2 = (double*) malloc(nZmiss * sizeof(double)); + + double*ng_nu = (double*) malloc(nZmiss * sizeof(double)); + double*ng_sigma_sq = (double*) malloc(nZmiss * sizeof(double)); + + CHAMELEON_Tile_to_Lapack(CHAM_descC12, r, nZmiss); + CHAMELEON_Tile_to_Lapack(data->descZmiss, Zmiss2, nZmiss); + + for (i = 0; i < nZmiss; i++) { + mu = Zmiss2[i]; + sigma_sq = 1 - r[i * nZmiss + i]; + ng_nu[i] = mu; + ng_sigma_sq[i] = sigma_sq; + //r^t X Z + Zmiss[i] = theta[2] + (theta[3] / (theta[4] * sqrt(1 - theta[5] * sigma_sq))) * + exp(theta[5] * pow(mu, 2) / (2 * (1 - theta[5] * sigma_sq))) * + (exp((pow(theta[4], 2) * sigma_sq + 2 * theta[4] * mu) / + (2 * (1 - theta[5] * sigma_sq))) - 1); + } + VERBOSE(" Done.\n"); + + + CHAMELEON_Lapack_to_Tile(Zmiss, nZmiss, CHAMELEON_descZmiss); + //Estimate Mean Square Error + if (Zactual != NULL) { + START_TIMING(time_mse); + VERBOSE("Calculate Mean Square Error (MSE) ... (Prediction Stage) \n"); + EXAGEOSTAT_MLE_dmse_Tile_Async(CHAMELEON_descZactual, CHAMELEON_descZmiss, CHAM_descmse, msequence, mrequest); + VERBOSE(" Done.\n"); + CHAMELEON_Sequence_Wait(msequence); + STOP_TIMING(time_mse); + data->mserror /= nZmiss; + } else + data->mserror = -1; + +#if defined(CHAMELEON_USE_MPI) + if(CHAMELEON_My_Mpi_Rank() == 0) + { +#endif + //output + results.mse_pred1 = data->mserror1; + results.mse_pred2 = data->mserror2; + results.mse_pred = data->mserror; + results.total_pred_time = mat_gen_time + mat_gen_time2 + dposv_time + gemms_time + trsms_time; + time_solve = dposv_time + trsms_time; + printf("%f, %d, %f\n", dposv_time, nZmiss, trsms_time); + results.total_pred_flops = flops / 1e9 / (time_solve); + printf("%f\n", results.total_pred_flops); + if (data->log == 1) + fprintf(data->pFileLog, + "\n\n# of missing observations :%d\n\nPrediction Execution Time: %.8f, Flops: %.8f, Mean Square Error (MSE): %.8f\n\n", + nZmiss, results.total_pred_time, results.total_pred_flops, data->mserror); + + write_prediction_result("predict_result.dat", nZmiss, data->hicma_acc, data->mserror1, data->mserror2, + data->mserror3, data->mserror, (mat_gen_time + time_solve + gemms_time), + (flops / 1e9 / (time_solve))); + + printf("%f, %f, %f, %f, %f\n", mat_gen_time, mat_gen_time2, dposv_time, gemms_time, trsms_time); + + FILE *pFile; + char* nFileZ = (char* ) malloc(50 * sizeof(char)); + + snprintf(nFileZ, 50, "%s%f%s%f%s%f%s", "./predict_", results.initial_theta[0], "_", results.initial_theta[4], "_", + results.initial_theta[5], ".log"); + pFile = fopen(nFileZ, "a"); + + if (pFile == NULL) { + printf("Cannot access the results path(3)\n"); + return -1; + } + for (i = 0; i < nZmiss; i++) { + fprintf(pFile, "%f ", data->lmiss.x[i]); + fprintf(pFile, "%f ", data->lmiss.y[i]); + fprintf(pFile, "%f ", Zmiss[i]); + fprintf(pFile, "%f ", ng_nu[i]); + fprintf(pFile, "%f ", ng_sigma_sq[i]); + fprintf(pFile, "%f \n", data->mserror); + } + fclose(pFile); + +#if defined(CHAMELEON_USE_MPI) + } +#endif + + return data->mserror; + +} + +double EXAGEOSTAT_dmle_ng_Predict_Tile_Async(MLE_data *CHAM_data, double*theta, int nZmiss, int nZobs, int n) +//! //Predict missing values base on a set of given values and covariance matrix +/*! -- CHAM-Async + * Returns the prediction Mean Square Error (MSE) as double + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. + * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] nZmiss: number of missing values (unknown observations). + * @param[in] nZobs: number of observed values (known observations). + * @param[in] n: number of spatial locations. + * */ +{ + + //initialization + location *l1 = NULL, *l2 = NULL; + location temp_loc; + double mat_gen_time = 0.0; + double time_solve = 0.0; + double time_mse = 0.0; + double flops = 0.0; + MLE_data *data = (MLE_data *) CHAM_data; + CHAM_desc_t *CHAMELEON_descZ = (CHAM_desc_t *) (data->descZcpy); + CHAM_desc_t *CHAMELEON_descZobs = (CHAM_desc_t *) (data->descZobs); + CHAM_desc_t *CHAMELEON_descZactual = (CHAM_desc_t *) (data->descZactual); + CHAM_desc_t *CHAMELEON_descZmiss = (CHAM_desc_t *) (data->descZmiss); + CHAM_desc_t *CHAM_descC12 = (CHAM_desc_t *) (data->descC12); + CHAM_desc_t *CHAM_descC22 = (CHAM_desc_t *) (data->descC22); + CHAM_desc_t *CHAM_descmse = (CHAM_desc_t *) (data->descmse); + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) (data->sequence); + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + + if (strcmp(data->actualZFPath, "") == 0) { + double*z = NULL; +#if defined(CHAMELEON_USE_MPI) + z = (double*) malloc(n * sizeof(double)); + CHAMELEON_Tile_to_Lapack( CHAMELEON_descZ, z, n); +#else + z = CHAMELEON_descZ->mat; +#endif + +#if defined(CHAMELEON_USE_MPI) + CHAMELEON_Lapack_to_Tile( z, n, CHAMELEON_descZ); +#endif + + l1 = &data->l1; + temp_loc.x = &l1->x[nZmiss]; + temp_loc.y = &l1->y[nZmiss]; + l2 = &temp_loc; + } else { + double*streamdata = NULL; + l1 = &data->l1; + temp_loc.x = &l1->x[nZmiss]; + temp_loc.y = &l1->y[nZmiss]; + l2 = &temp_loc; + + + VERBOSE("Reading ActualZ locations for prediction from disk ....."); + l1 = readLocsFile(data->actualZLocFPath, nZmiss); + VERBOSE(" Done.\n"); + + //streamdata=(double*) malloc(nZmiss * sizeof(double)); + VERBOSE("Reading ActualZ for prediction from disk ....."); + streamdata = readObsFile(data->actualZFPath, nZmiss); + EXAGEOSTAT_MLE_dzcpy_Tile_Async(CHAMELEON_descZactual, streamdata, msequence, mrequest); + CHAMELEON_Sequence_Wait(data->sequence); + VERBOSE(" Done.\n"); + } + + START_TIMING(mat_gen_time); + + //Generate C22 covariance matrix + VERBOSE("Generate C22 Covariance Matrix... (Prediction Stage)"); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAM_descC22, l2, l2, &data->lm, theta, data->dm, data->kernel_fun, + msequence, mrequest); + VERBOSE(" Done.\n"); + + //Generate C12 covariance matrix + VERBOSE("Generate C12 Covariance Matrix... (Prediction Stage)"); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAM_descC12, l1, l2, &data->lm, theta, data->dm, data->kernel_fun, + msequence, mrequest); + VERBOSE(" Done.\n"); + STOP_TIMING(mat_gen_time); + + START_TIMING(time_solve); + //Start prediction + VERBOSE("Calculate dposv C22 Covariance Matrix... (Prediction Stage)"); + CHAMELEON_dposv_Tile_Async(ChamLower, CHAM_descC22, CHAMELEON_descZobs, msequence, mrequest); + flops = flops + FLOPS_DPOTRF(nZobs); + flops = flops + FLOPS_DTRSM(ChamLeft, nZobs, nZobs); + VERBOSE(" Done.\n"); + + VERBOSE("Calculate dgemm Zmiss= C12 * Zobs Covariance Matrix... (Prediction Stage)"); + void *ws; + CHAMELEON_dgemm_Tile_Async(ChamNoTrans, ChamNoTrans, 1, CHAM_descC12, CHAMELEON_descZobs, 0, CHAMELEON_descZmiss, + &ws, msequence, mrequest); + flops = flops + FLOPS_DGEMM(nZmiss, nZobs, nZobs); + VERBOSE(" Done.\n"); + STOP_TIMING(time_solve); + + + //Estimate Mean Square Error + START_TIMING(time_mse); + VERBOSE("Calculate Mean Square Error (MSE) ... (Prediction Stage) \n"); + EXAGEOSTAT_MLE_dmse_Tile_Async(CHAMELEON_descZactual, CHAMELEON_descZmiss, CHAM_descmse, msequence, mrequest); + VERBOSE(" Done.\n"); + STOP_TIMING(time_mse); + + //if you do not have actual value to compare with + if (data->descZactual == NULL) + return -1; + + data->mserror /= nZmiss; + +#if defined(CHAMELEON_USE_MPI) + if(CHAMELEON_My_Mpi_Rank() == 0) + { +#endif + if (data->log == 1) + fprintf(data->pFileLog, + "\n\n# of missing observations :%d\n\nPrediction Execution Time: %.8f, Flops: %.8f, Mean Square Error (MSE): %.8f\n\n", + nZmiss, (mat_gen_time + time_solve + time_mse), (flops / 1e9 / (time_solve)), data->mserror); + +#if defined(CHAMELEON_USE_MPI) + } +#endif + + return data->mserror; +} + +void CHAMELEON_dmle_ng_mloe_mmom_Allocate(MLE_data *CHAM_data, int nZmiss, int nZobs, int dts, int p_grid, int q_grid) +//! Allocate prediction operation descriptors. +/*! + * Returns MLE_data data with initial values and new descriptors locations. + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. + * @param[in] nZmiss: number of missing values (unknown observations). + * @param[in] nZobs: number of observed values (known observations). + * @param[in] dts: tile size (MB). + * @param[in] p_grid: p_grid in the case of distributed system. + * @param[in] q_grid: q_grid in the case of distributed system. + * @param[in] mse_flag: flag to enable or disable Mean Square Error (MSE) computing. + * */ +{ + + CHAM_desc_t *CHAMELEON_desck_t = NULL; + CHAM_desc_t *CHAMELEON_desck_a = NULL; + CHAM_desc_t *CHAMELEON_desck_atmp = NULL; + CHAM_desc_t *CHAMELEON_desck_ttmp = NULL; + CHAM_desc_t *CHAMELEON_descK_t = NULL; + CHAM_desc_t *CHAMELEON_descK_ttmp = NULL; + CHAM_desc_t *CHAMELEON_descK_a = NULL; + CHAM_desc_t *CHAMELEON_descexpr1 = NULL; + CHAM_desc_t *CHAMELEON_descexpr2 = NULL; + CHAM_desc_t *CHAMELEON_descexpr3 = NULL; + CHAM_desc_t *CHAMELEON_descexpr4 = NULL; + CHAM_desc_t *CHAMELEON_descmloe = NULL; + CHAM_desc_t *CHAMELEON_descmmom = NULL; + CHAM_desc_t *CHAMELEON_descalpha = NULL; + CHAM_desc_t *CHAMELEON_desctruthalpha = NULL; + CHAM_desc_t *CHAMELEON_descestimatedalpha = NULL; + CHAM_desc_t *CHAMELEON_desc_mloe_mmom = NULL; + MLE_data *data = (MLE_data *) CHAM_data; + int p = 0; + if (nZmiss <= 0) { + fprintf(stderr, " Number of missing values should be positive value\n"); + return; + } + if (strcmp(data->kernel_fun, "univariate_matern_stationary") == 0) + p = 1; + else if (strcmp(data->kernel_fun, "univariate_matern_nuggets_stationary") == 0) + p = 1; + else if (strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) + p = 1; + else if (strcmp(data->kernel_fun, "bivariate_matern_flexible") == 0) + p = 2; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) + p = 2; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) + p = 2; + else if (strcmp(data->kernel_fun, "univariate_spacetime_matern_stationary") == 0) + p = 1; + else if (strcmp(data->kernel_fun, "univariate_matern_non_gaussian") == 0 + || strcmp(data->kernel_fun, "univariate_exp_non_gaussian") == 0) + p = 1; + else { + fprintf(stderr, "Choosen kernel is not exist(24)!\n"); + fprintf(stderr, "Called function is: %s\n", __func__); + exit(0); + } + + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_desck_t, NULL, ChamRealDouble, dts, dts, dts * dts, p * nZobs, p, 0, 0, + p * nZobs, p, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_desck_a, NULL, ChamRealDouble, dts, dts, dts * dts, p * nZobs, p, 0, 0, + p * nZobs, p, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_desck_atmp, NULL, ChamRealDouble, dts, dts, dts * dts, p * nZobs, p, 0, + 0, p * nZobs, p, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_desck_ttmp, NULL, ChamRealDouble, dts, dts, dts * dts, p * nZobs, p, 0, + 0, p * nZobs, p, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descexpr1, NULL, ChamRealDouble, dts, dts, dts * dts, p, p, 0, 0, p, p, + p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descexpr2, NULL, ChamRealDouble, dts, dts, dts * dts, p, p, 0, 0, p, p, + p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descexpr3, NULL, ChamRealDouble, dts, dts, dts * dts, p, p, 0, 0, p, p, + p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descexpr4, NULL, ChamRealDouble, dts, dts, dts * dts, p, p, 0, 0, p, p, + p_grid, q_grid); + data->mloe = 0; + data->mmom = 0; + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descmloe, &data->mloe, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, + 1, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descmmom, &data->mmom, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, + 1, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_desctruthalpha, NULL, ChamRealDouble, dts, dts, dts * dts, p, p, 0, 0, p, + p, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descestimatedalpha, NULL, ChamRealDouble, dts, dts, dts * dts, p, p, 0, + 0, p, p, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descK_t, NULL, ChamRealDouble, dts, dts, dts * dts, p * nZobs, p * nZobs, + 0, 0, p * nZobs, p * nZobs, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descK_a, NULL, ChamRealDouble, dts, dts, dts * dts, p * nZobs, p * nZobs, + 0, 0, p * nZobs, p * nZobs, p_grid, q_grid); + + //Initiae data descriptors + data->desck_t = CHAMELEON_desck_t; + data->desck_a = CHAMELEON_desck_a; + data->desck_atmp = CHAMELEON_desck_atmp; + data->desck_ttmp = CHAMELEON_desck_ttmp; + data->descK_t = CHAMELEON_descK_t; + data->descK_a = CHAMELEON_descK_a; + data->descexpr1 = CHAMELEON_descexpr1; + data->descexpr2 = CHAMELEON_descexpr2; + data->descexpr3 = CHAMELEON_descexpr3; + data->descexpr4 = CHAMELEON_descexpr4; + data->descmloe = CHAMELEON_descmloe; + data->descmmom = CHAMELEON_descmmom; + data->descestimatedalpha = CHAMELEON_descestimatedalpha; + data->desctruthalpha = CHAMELEON_desctruthalpha; +} + + +void CHAMELEON_dmle_ng_mloe_mmom_Tile(MLE_data *CHAM_data, double*truth_theta, double*estimated_theta, int nZmiss, + int nZobs, int n) +//! //Predict missing values base on a set of given values and covariance matrix +/*! -- CHAM-sync + * Returns the prediction Mean Square Error (MSE) as double + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. + * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] nZmiss: number of missing values (unknown observations). + * @param[in] nZobs: number of observed values (known observations). + * @param[in] Zobs: observed values vector (known observations). + * @param[in] Zmiss missing values vector (unknown observations). + * @param[in] Zactual: actual missing values vector (in the case of testing MSE). + * @param[in] n: number of spatial locations. + * */ +{ + printf("%f, %f, %f, %f\n", truth_theta[0], truth_theta[1], truth_theta[2], truth_theta[3]); + printf("%f, %f, %f,%f \n", estimated_theta[0], estimated_theta[1], estimated_theta[2], estimated_theta[3]); + double loe_sum = 0.0; + double mom_sum = 0.0; + int i = 0; + int p = 0; + int v = 0; + int j = 0; + double all_time = 0.0; + double cholesky1 = 0.0; + double cholesky2 = 0.0; + double matrix_gen = 0.0; + double vecs_gen = 0.0; + double matrix_gen3 = 0.0; + double matrix_gen4 = 0.0; + double copy_vecs = 0.0; + double trsm1 = 0.0; + double trsm2 = 0.0; + double trsm3 = 0.0; + double trsm4 = 0.0; + double trsm5 = 0.0; + double trsm6 = 0.0; + double trsm7 = 0.0; + double gevv1 = 0.0; + double gevv2 = 0.0; + double gevv3 = 0.0; + double gevv4 = 0.0; + double gevv5 = 0.0; + //************************************************************************ + double*loe = (double*) malloc(nZmiss * sizeof(double)); + double*mom = (double*) malloc(nZmiss * sizeof(double)); + + MLE_data *data = (MLE_data *) CHAM_data; + CHAM_desc_t *CHAMELEON_desck_t = data->desck_t; + CHAM_desc_t *CHAMELEON_desck_a = data->desck_a; + CHAM_desc_t *CHAMELEON_descK_t = data->descK_t; + CHAM_desc_t *CHAMELEON_descK_a = data->descK_a; + CHAM_desc_t *CHAMELEON_desck_atmp = data->desck_atmp; + CHAM_desc_t *CHAMELEON_desck_ttmp = data->desck_ttmp; + CHAM_desc_t *CHAMELEON_descexpr1 = data->descexpr1; + CHAM_desc_t *CHAMELEON_descexpr2 = data->descexpr2; + CHAM_desc_t *CHAMELEON_descexpr3 = data->descexpr3; + CHAM_desc_t *CHAMELEON_descexpr4 = data->descexpr4; + CHAM_desc_t *CHAMELEON_descmloe = data->descmloe; + CHAM_desc_t *CHAMELEON_descmmom = data->descmmom; + CHAM_desc_t *CHAMELEON_descestimatedalpha = data->descestimatedalpha; + CHAM_desc_t *CHAMELEON_desctruthalpha = data->desctruthalpha; + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) (data->sequence); + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + location lmiss; + lmiss.x = (double*) malloc(sizeof(double)); + lmiss.y = (double*) malloc(sizeof(double)); + + double*univariate_theta; + double*univariate2_theta; + double*univariate3_theta; + double nu12; + double rho; + double sigma_square12; + + double flops = 0.0; + START_TIMING(all_time); + + int m = CHAMELEON_descestimatedalpha->m; + double*truthalpha = (double*) malloc(m * m * sizeof(double)); + double*estimatedalpha = (double*) malloc(m * m * sizeof(double)); + double*temp1 = (double*) malloc(m * m * sizeof(double)); + double*temp2 = (double*) malloc(m * m * sizeof(double)); + double*temp3 = (double*) malloc(m * m * sizeof(double)); + if (m == 1) { + truthalpha[0] = truth_theta[0]; + estimatedalpha[0] = estimated_theta[0]; + } + + if (m == 2) { + double truth_nu12 = 0.5 * (truth_theta[3] + truth_theta[4]); + double truth_rho = truth_theta[5] * sqrt((tgamma(truth_theta[3] + 1) * tgamma(truth_theta[4] + 1)) / + (tgamma(truth_theta[3]) * tgamma(truth_theta[4]))) * + tgamma(truth_nu12) / tgamma(truth_nu12 + 1); + + double estimated_nu12 = 0.5 * (estimated_theta[3] + estimated_theta[4]); + double estimated_rho = + estimated_theta[5] * sqrt((tgamma(estimated_theta[3] + 1) * tgamma(estimated_theta[4] + 1)) / + (tgamma(estimated_theta[3]) * tgamma(estimated_theta[4]))) * + tgamma(estimated_nu12) / tgamma(estimated_nu12 + 1); + + truthalpha[0] = truth_theta[0]; + estimatedalpha[0] = estimated_theta[0]; + + truthalpha[1] = truthalpha[3] = truth_rho + * sqrt(truth_theta[0] * truth_theta[1]); + + estimatedalpha[1] = estimatedalpha[3] = estimated_rho + * sqrt(estimated_theta[0] * estimated_theta[1]); + truthalpha[2] = truth_theta[1]; + estimatedalpha[2] = estimated_theta[1]; + + } + CHAMELEON_Lapack_to_Tile(truthalpha, m, CHAMELEON_desctruthalpha); + CHAMELEON_Lapack_to_Tile(estimatedalpha, m, CHAMELEON_descestimatedalpha); + + char* name = malloc(strlen(data->kernel_fun) + 1); + strcpy(name, data->kernel_fun); + + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { + printf("TODO: running with Z=1 no more\n"); + data->kernel_fun = "bivariate_matern_parsimonious"; + } + + START_TIMING(matrix_gen); + VERBOSE("Create K_a and K_t Covariance Matrices (MLOE-MMOM)....."); + + //(1)Generate the co-variance matrix descK_a + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAMELEON_descK_a, &data->lobs, &data->lobs, &data->lm, estimated_theta, + data->dm, data->kernel_fun, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); + //(2)Generate the co-variance matrix descK_t + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAMELEON_descK_t, &data->lobs, &data->lobs, &data->lm, truth_theta, + data->dm, data->kernel_fun, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); + VERBOSE(" Done.\n"); + STOP_TIMING(matrix_gen); + + + //Cholesky factorization for the Co-variance matrix CHAMELEON_descK_a + START_TIMING(cholesky1); + VERBOSE("(3)Cholesky factorization of CHAMELEON_descK_a (MLOE-MMOM) ....."); + int success = CHAMELEON_dpotrf_Tile(ChamLower, CHAMELEON_descK_a); + SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); + VERBOSE(" Done.\n"); + STOP_TIMING(cholesky1); + flops = flops + FLOPS_DPOTRF(CHAMELEON_descK_a->m); + + START_TIMING(cholesky2); + success = CHAMELEON_dpotrf_Tile(ChamLower, CHAMELEON_descK_t); + SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); + VERBOSE(" Done.\n"); + STOP_TIMING(cholesky2); + flops = flops + FLOPS_DPOTRF(CHAMELEON_descK_t->m); + + double total_loop_time = 0.0; + double loop_time = 0.0; + for (p = 0; p < nZmiss; p++) { + + lmiss.x[0] = data->lmiss.x[p]; + lmiss.y[0] = data->lmiss.y[p]; + + VERBOSE("Generate two vectors k_a and k_t (MLOE-MMOM)....."); + START_TIMING(vecs_gen); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, CHAMELEON_desck_t, &data->lobs, &lmiss, &data->lm, truth_theta, + data->dm, data->kernel_fun, msequence, mrequest); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, CHAMELEON_desck_a, &data->lobs, &lmiss, &data->lm, + estimated_theta, data->dm, data->kernel_fun, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); + STOP_TIMING(vecs_gen); + + //(5a)Copy CHAMELEON_desck_a to CHAMELEON_descK_atmp (MLOE-MMOM) + VERBOSE("(5a)Copy CHAMELEON_desck_a to CHAMELEON_descK_atmp (MLOE-MMOM)....."); + START_TIMING(copy_vecs); + CHAMELEON_dlacpy_Tile(ChamUpperLower, CHAMELEON_desck_t, CHAMELEON_desck_ttmp); + CHAMELEON_dlacpy_Tile(ChamUpperLower, CHAMELEON_desck_a, CHAMELEON_desck_atmp); + STOP_TIMING(copy_vecs); + VERBOSE(" Done.\n"); + + START_TIMING(loop_time); + START_TIMING(trsm1); + //(6) Triangular Solve (TRSM) k_a = TRSM(L_a^-1, k_a) + VERBOSE("Solving the linear system k_a = TRSM(l_a^-1, k_a) ...(MLOE-MMOM)\n"); + CHAMELEON_dtrsm_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAMELEON_descK_a, CHAMELEON_desck_a); + VERBOSE(" Done.\n"); + flops = flops + FLOPS_DTRSM(ChamLeft, CHAMELEON_descK_a->m, CHAMELEON_desck_a->n); + STOP_TIMING(trsm1); + + START_TIMING(trsm2); + //(7) Triangular Solve (TRSM) k_t = TRSM(L_t^-1, k_t) + VERBOSE("(7)Solving the linear system k_t = TRSM(L_t^-1, k_t) ...(MLOE-MMOM)\n"); + CHAMELEON_dtrsm_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAMELEON_descK_t, CHAMELEON_desck_t); + flops = flops + FLOPS_DTRSM(ChamLeft, CHAMELEON_descK_t->m, CHAMELEON_desck_t->n); + VERBOSE(" Done.\n"); + STOP_TIMING(trsm2); + + START_TIMING(trsm3); + //(8) Triangular Solve (TRSM) k_a = TRSM(L_a^-T, k_a) + VERBOSE("Solving the linear system k_a = TRSM(L_a^-T, k_a) ...(MLOE-MMOM)\n"); + CHAMELEON_dtrsm_Tile(ChamLeft, ChamLower, ChamTrans, ChamNonUnit, 1, CHAMELEON_descK_a, CHAMELEON_desck_a); + flops = flops + FLOPS_DTRSM(ChamLeft, CHAMELEON_descK_a->m, CHAMELEON_desck_a->n); + VERBOSE(" Done.\n"); + STOP_TIMING(trsm3); + + START_TIMING(trsm4); + //(9) Triangular Solve (TRSM) k_t = TRSM(L_t^-T, k_t) + VERBOSE("(9)Solving the linear system k_t = TRSM(L_a^-T, k_t) ...(MLOE-MMOM)\n"); + CHAMELEON_dtrsm_Tile(ChamLeft, ChamLower, ChamTrans, ChamNonUnit, 1, CHAMELEON_descK_t, CHAMELEON_desck_t); + flops = flops + FLOPS_DTRSM(ChamLeft, CHAMELEON_descK_t->m, CHAMELEON_desck_t->n); + VERBOSE(" Done.\n"); + STOP_TIMING(trsm4); + + START_TIMING(gevv2); + //(10) Calculate dgemm value= CHAMELEON_desck_t^T * CHAMELEON_desck_a + VERBOSE("(10)Calculate dgemm CHAMELEON_descexpr1 = CHAMELEON_desck_t^T * CHAMELEON_desck_a... (MLOE-MMOM)"); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAMELEON_desck_ttmp, CHAMELEON_desck_a, 0, + CHAMELEON_descexpr1); + flops = flops + FLOPS_DGEMM(CHAMELEON_desck_ttmp->m, CHAMELEON_desck_a->n, CHAMELEON_descexpr1->n); + VERBOSE(" Done.\n"); + STOP_TIMING(gevv2); + START_TIMING(gevv3); + //(11) Calculate dgemm value= CHAMELEON_desck_a^T * CHAMELEON_desck_atmp + VERBOSE("(11)Calculate dgemm CHAMELEON_descexpr1 = CHAMELEON_desck_a^T * CHAMELEON_desck_a... (MLOE-MMOM)"); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAMELEON_desck_atmp, CHAMELEON_desck_a, 0, + CHAMELEON_descexpr4); + flops = flops + FLOPS_DGEMM(CHAMELEON_desck_atmp->m, CHAMELEON_desck_a->n, CHAMELEON_descexpr4->n); + VERBOSE(" Done.\n"); + STOP_TIMING(gevv3); + + + START_TIMING(gevv1); + //(12) Calculate dgemm value= CHAMELEON_desck_a^T * CHAMELEON_desck_t + VERBOSE("(12)Calculate dgemm CHAMELEON_descexpr4 = CHAMELEON_desck_a^T * CHAMELEON_desck_t... (Prediction Stage)"); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAMELEON_desck_ttmp, CHAMELEON_desck_t, 0, + CHAMELEON_descexpr3); + flops = flops + FLOPS_DGEMM(CHAMELEON_desck_ttmp->m, CHAMELEON_desck_t->n, CHAMELEON_descexpr3->n); + VERBOSE(" Done.\n"); + STOP_TIMING(gevv1); + + //(13) Calculate dgemm CHAMELEON_desck_a= CHAMELEON_descK_t * CHAMELEON_desck_a (use k_t as k_a) + START_TIMING(gevv4); + CHAMELEON_dtrmm_Tile(ChamLeft, ChamLower, ChamTrans, ChamNonUnit, 1, CHAMELEON_descK_t, CHAMELEON_desck_a); + STOP_TIMING(gevv4); + + //(13) Calculate dgemm value= CHAMELEON_desck_a^T * CHAMELEON_desck_t + VERBOSE("(13)Calculate dgemm CHAMELEON_descexpr1 = CHAMELEON_desck_a^T * CHAMELEON_desck_a... (Prediction Stage)"); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAMELEON_desck_a, CHAMELEON_desck_a, 0, CHAMELEON_descexpr2); + flops = flops + FLOPS_DGEMM(CHAMELEON_desck_atmp->m, CHAMELEON_desck_t->n, CHAMELEON_descexpr2->n); + VERBOSE(" Done.\n"); + STOP_TIMING(gevv5); + + STOP_TIMING(loop_time); + + total_loop_time += loop_time; + + CHAMELEON_dgeadd_Tile(ChamNoTrans, 1, CHAMELEON_desctruthalpha, -2, CHAMELEON_descexpr1); + CHAMELEON_dgeadd_Tile(ChamNoTrans, 1, CHAMELEON_descexpr1, 1, CHAMELEON_descexpr2); + CHAMELEON_dgeadd_Tile(ChamNoTrans, 1, CHAMELEON_desctruthalpha, -1, CHAMELEON_descexpr3); + CHAMELEON_dgeadd_Tile(ChamNoTrans, 1, CHAMELEON_descestimatedalpha, -1, CHAMELEON_descexpr4); + + printf("%f, %f, %f, %f\n", matrix_gen, vecs_gen, cholesky1, cholesky2); + printf("%f, %f, %f, %f, %f, %f, %f, %f, %f, %f\n", trsm1, trsm2, trsm3, trsm5, trsm6, gevv1, gevv2, gevv3, + gevv4, gevv5); + //******************************* + + EXAGEOSTAT_MLE_dmloe_mmom_Tile_Async(CHAMELEON_descexpr2, CHAMELEON_descexpr3, CHAMELEON_descexpr4, + CHAMELEON_descmloe, CHAMELEON_descmmom, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); + } +#if defined(CHAMELEON_USE_MPI) + if(CHAMELEON_My_Mpi_Rank() == 0) + { +#endif + printf("\nnZmiss = %d\n", nZmiss); + printf(" ----(MLOE-MMOM) Gflop/s: %6.2f\n", flops / 1e9 / (total_loop_time + cholesky1 + cholesky2)); + + +#if defined(CHAMELEON_USE_MPI) + } +#endif + + data->mloe /= nZmiss; + data->mmom /= nZmiss; + STOP_TIMING(all_time); + free(loe); + free(mom); + free(lmiss.x); + free(lmiss.y); + free(temp1); + free(temp2); + free(temp3); + free(estimatedalpha); + free(truthalpha); + + FILE *pFile; +#if defined(CHAMELEON_USE_MPI) + if ( CHAMELEON_My_Mpi_Rank() == 0 ) + { +#endif + //output + results.mloe = data->mloe; + results.mmom = data->mmom; + printf("\nMMLOE = %f", data->mloe); + printf("\nMMOM = %f\n\n\n", data->mmom); + results.mloe_exec = "sync"; + results.total_mloe_mmom_time = all_time; + results.matrix_gen_mloe_mmom_time = matrix_gen; + results.cho_fact_mloe_mmom_time = cholesky1 + cholesky2; + results.loop_mloe_mmom_time = total_loop_time; + results.total_mloe_mmom_flops = flops / 1e9 / (total_loop_time + cholesky1 + cholesky2); +#if defined(CHAMELEON_USE_MPI) + } +#endif + + fprintf(stderr, " ---- mloe_mmom Time: %6.2f seconds\n\n", all_time); + fprintf(stderr, " ---- gevv Time: %6.2f seconds\n\n", gevv4); +} + +void +CHAMELEON_dmle_ng_mloe_mmom_Tile_Async(MLE_data *CHAM_data, double*truth_theta, double*estimated_theta, int nZmiss, + int nZobs, int n) +//! //Predict missing values base on a set of given values and covariance matrix +/*! -- CHAM-sync + * Returns the prediction Mean Square Error (MSE) as double + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. + * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] nZmiss: number of missing values (unknown observations). + * @param[in] nZobs: number of observed values (known observations). + * @param[in] Zobs: observed values vector (known observations). + * @param[in] Zmiss missing values vector (unknown observations). + * @param[in] Zactual: actual missing values vector (in the case of testing MSE). + * @param[in] n: number of spatial locations. + * */ +{ + //estimated_theta[0]=1.01; estimated_theta[1]=0.09; estimated_theta[2]=0.49; + printf("%f, %f, %f\n", truth_theta[0], truth_theta[1], truth_theta[2]); + printf("%f, %f, %f\n", estimated_theta[0], estimated_theta[1], estimated_theta[2]); + double loe_sum = 0.0; + double mom_sum = 0.0; + int i = 0; + int p = 0; + int v = 0; + int j = 0; + double all_time = 0.0; + double cholesky1 = 0.0; + double cholesky2 = 0.0; + double matrix_gen1 = 0.0; + double matrix_gen2 = 0.0; + double vecs_gen = 0.0; + double copy1 = 0.0; + double copy2 = 0.0; + double copy_vecs = 0.0; + double trsm1 = 0.0; + double trsm2 = 0.0; + double trsm3 = 0.0; + double trsm4 = 0.0; + double trsm5 = 0.0; + double trsm6 = 0.0; + double trsm7 = 0.0; + double gevv1 = 0.0; + double gevv2 = 0.0; + double gevv3 = 0.0; + double gevv4 = 0.0; + double gevv5 = 0.0; + //************************************************************************ + double*loe = (double*) malloc(nZmiss * sizeof(double)); + double*mom = (double*) malloc(nZmiss * sizeof(double)); + + MLE_data *data = (MLE_data *) CHAM_data; + CHAM_desc_t *CHAMELEON_desck_t = data->desck_t; + CHAM_desc_t *CHAMELEON_desck_a = data->desck_a; + CHAM_desc_t *CHAMELEON_descK_t = data->descK_t; + CHAM_desc_t *CHAMELEON_descK_a = data->descK_a; + CHAM_desc_t *CHAMELEON_desck_atmp = data->desck_atmp; + CHAM_desc_t *CHAMELEON_desck_ttmp = data->desck_ttmp; + CHAM_desc_t *CHAMELEON_descmloe = data->descmloe; + CHAM_desc_t *CHAMELEON_descmmom = data->descmmom; + CHAM_desc_t *CHAMELEON_descexpr1 = data->descexpr1; + CHAM_desc_t *CHAMELEON_descexpr2 = data->descexpr2; + CHAM_desc_t *CHAMELEON_descexpr3 = data->descexpr3; + CHAM_desc_t *CHAMELEON_descexpr4 = data->descexpr4; + CHAM_desc_t *CHAMELEON_descestimatedalpha = data->descestimatedalpha; + CHAM_desc_t *CHAMELEON_desctruthalpha = data->desctruthalpha; + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) (data->sequence); + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + location lmiss; + lmiss.x = (double*) malloc(sizeof(double)); + lmiss.y = (double*) malloc(sizeof(double)); + + double*univariate_theta; + double*univariate2_theta; + double*univariate3_theta; + double nu12; + double rho; + double sigma_square12; + double flops = 0.0; + START_TIMING(all_time); + + int m = CHAMELEON_descestimatedalpha->m; + double*truthalpha = (double*) malloc(m * m * sizeof(double)); + double*estimatedalpha = (double*) malloc(m * m * sizeof(double)); + double*temp1 = (double*) malloc(m * m * sizeof(double)); + double*temp2 = (double*) malloc(m * m * sizeof(double)); + double*temp3 = (double*) malloc(m * m * sizeof(double)); + if (m == 1) { + truthalpha[0] = truth_theta[0]; + estimatedalpha[0] = estimated_theta[0]; + } + + if (m == 2) { + double truth_nu12 = 0.5 * (truth_theta[3] + truth_theta[4]); + double truth_rho = truth_theta[5] * sqrt((tgamma(truth_theta[3] + 1) * tgamma(truth_theta[4] + 1)) / + (tgamma(truth_theta[3]) * tgamma(truth_theta[4]))) * + tgamma(truth_nu12) / tgamma(truth_nu12 + 1); + + double estimated_nu12 = 0.5 * (estimated_theta[3] + estimated_theta[4]); + double estimated_rho = + estimated_theta[5] * sqrt((tgamma(estimated_theta[3] + 1) * tgamma(estimated_theta[4] + 1)) / + (tgamma(estimated_theta[3]) * tgamma(estimated_theta[4]))) * + tgamma(estimated_nu12) / tgamma(estimated_nu12 + 1); + + truthalpha[0] = truth_theta[0]; + estimatedalpha[0] = estimated_theta[0]; + + truthalpha[1] = truthalpha[3] = truth_rho + * sqrt(truth_theta[0] * truth_theta[1]); + + estimatedalpha[1] = estimatedalpha[3] = estimated_rho + * sqrt(estimated_theta[0] * estimated_theta[1]); + truthalpha[2] = truth_theta[1]; + estimatedalpha[2] = estimated_theta[1]; + + } + CHAMELEON_Lapack_to_Tile(truthalpha, m, CHAMELEON_desctruthalpha); + CHAMELEON_Lapack_to_Tile(estimatedalpha, m, CHAMELEON_descestimatedalpha); + + + char* name = malloc(strlen(data->kernel_fun) + 1); + strcpy(name, data->kernel_fun); + + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { + printf("TODO: running with Z=1 no more\n"); + data->kernel_fun = "bivariate_matern_parsimonious"; + } + + START_TIMING(matrix_gen1); + VERBOSE("Create CHAMELEON_descK_a Covariance Matrix (MLOE-MMOM)....."); + + //(1)Generate the co-variance matrix descK_a + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAMELEON_descK_a, &data->lobs, &data->lobs, &data->lm, estimated_theta, + data->dm, data->kernel_fun, msequence, mrequest); + VERBOSE(" Done.\n"); + STOP_TIMING(matrix_gen1); + + START_TIMING(matrix_gen2); + //(2)Generate the co-variance matrix descK_t + VERBOSE("Create CHAMELEON_descK_t Covariance Matrix (MLOE-MMOM)....."); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAMELEON_descK_t, &data->lobs, &data->lobs, &data->lm, truth_theta, + data->dm, data->kernel_fun, msequence, mrequest); + VERBOSE(" Done.\n"); + STOP_TIMING(matrix_gen2); + + START_TIMING(cholesky1); + //(3)Cholesky factorization for the Co-variance matrix CHAMELEON_descK_a + VERBOSE("Cholesky factorization of CHAMELEON_descK_a (MLOE-MMOM) ....."); + int success = CHAMELEON_dpotrf_Tile_Async(ChamLower, CHAMELEON_descK_a, msequence, mrequest); + SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); + VERBOSE(" Done.\n"); + STOP_TIMING(cholesky1); + flops = flops + FLOPS_DPOTRF(CHAMELEON_descK_a->m); + + /// START_TIMING(copy1); + //(4)Copy CHAMELEON_descK_t Covariance Matrix to CHAMELEON_descK_ttmp (MLOE-MMOM) + START_TIMING(cholesky2); + flops = flops + FLOPS_DPOTRF(CHAMELEON_descK_t->m); + //(5)Cholesky factorization for the Co-variance matrix CHAMELEON_descK_t + VERBOSE("Cholesky factorization of CHAMELEON_descK_t (MLOE-MMOM) ....."); + success = CHAMELEON_dpotrf_Tile_Async(ChamLower, CHAMELEON_descK_t, msequence, mrequest); + SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); + VERBOSE(" Done.\n"); + + + STOP_TIMING(cholesky2); + + double total_loop_time = 0.0; + double loop_time = 0.0; + for (p = 0; p < nZmiss; p++) { + + lmiss.x[0] = data->lmiss.x[p]; + lmiss.y[0] = data->lmiss.y[p]; + + VERBOSE("Generate two vectors k_a and k_t (MLOE-MMOM)....."); + START_TIMING(vecs_gen); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, CHAMELEON_desck_t, &data->lobs, &lmiss, &data->lm, truth_theta, + data->dm, data->kernel_fun, msequence, mrequest); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamUpperLower, CHAMELEON_desck_a, &data->lobs, &lmiss, &data->lm, + estimated_theta, data->dm, data->kernel_fun, msequence, mrequest); + STOP_TIMING(vecs_gen); + + //(6a)Copy CHAMELEON_desck_a to CHAMELEON_descK_atmp (MLOE-MMOM) + VERBOSE("(6a)Copy CHAMELEON_desck_a to CHAMELEON_descK_atmp (MLOE-MMOM)....."); + START_TIMING(copy_vecs); + CHAMELEON_dlacpy_Tile_Async(ChamUpperLower, CHAMELEON_desck_t, CHAMELEON_desck_ttmp, msequence, mrequest); + CHAMELEON_dlacpy_Tile_Async(ChamUpperLower, CHAMELEON_desck_a, CHAMELEON_desck_atmp, msequence, mrequest); + STOP_TIMING(copy_vecs); + VERBOSE(" Done.\n"); + + START_TIMING(loop_time); + START_TIMING(trsm1); + //(7) Triangular Solve (TRSM) k_a = TRSM(L_a^-1, k_a) + VERBOSE("Solving the linear system k_a = TRSM(l_a^-1, k_a) ...(MLOE-MMOM)\n"); + CHAMELEON_dtrsm_Tile_Async(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAMELEON_descK_a, + CHAMELEON_desck_a, msequence, mrequest); + VERBOSE(" Done.\n"); + flops = flops + FLOPS_DTRSM(ChamLeft, CHAMELEON_descK_a->m, CHAMELEON_desck_a->n); + STOP_TIMING(trsm1); + START_TIMING(trsm2); + + //(9) Triangular Solve (TRSM) k_t = TRSM(L_t^-1, k_t) + VERBOSE("(9)Solving the linear system k_t = TRSM(L_t^-1, k_t) ...(MLOE-MMOM)\n"); + CHAMELEON_dtrsm_Tile_Async(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAMELEON_descK_t, + CHAMELEON_desck_t, msequence, mrequest); + flops = flops + FLOPS_DTRSM(ChamLeft, CHAMELEON_descK_t->m, CHAMELEON_desck_t->n); + VERBOSE(" Done.\n"); + STOP_TIMING(trsm2); + + START_TIMING(trsm3); + //(8) Triangular Solve (TRSM) k_a = TRSM(L_a^-T, k_a) + VERBOSE("Solving the linear system k_a = TRSM(L_a^-T, k_a) ...(MLOE-MMOM)\n"); + CHAMELEON_dtrsm_Tile_Async(ChamLeft, ChamLower, ChamTrans, ChamNonUnit, 1, CHAMELEON_descK_a, CHAMELEON_desck_a, + msequence, mrequest); + flops = flops + FLOPS_DTRSM(ChamLeft, CHAMELEON_descK_a->m, CHAMELEON_desck_a->n); + VERBOSE(" Done.\n"); + STOP_TIMING(trsm3); + + START_TIMING(trsm4); + //(10) Triangular Solve (TRSM) k_t = TRSM(L_t^-T, k_t) + VERBOSE("(10)Solving the linear system k_t = TRSM(L_a^-T, k_t) ...(MLOE-MMOM)\n"); + CHAMELEON_dtrsm_Tile_Async(ChamLeft, ChamLower, ChamTrans, ChamNonUnit, 1, CHAMELEON_descK_t, CHAMELEON_desck_t, + msequence, mrequest); + flops = flops + FLOPS_DTRSM(ChamLeft, CHAMELEON_descK_t->m, CHAMELEON_desck_t->n); + VERBOSE(" Done.\n"); + STOP_TIMING(trsm4); + + START_TIMING(gevv2); + //(12) Calculate dgemm value= CHAMELEON_desck_t^T * CHAMELEON_desck_a + VERBOSE("(12)Calculate dgemm CHAMELEON_descexpr1 = CHAMELEON_desck_t^T * CHAMELEON_desck_a... (MLOE-MMOM)"); + void *ws; + CHAMELEON_dgemm_Tile_Async(ChamTrans, ChamNoTrans, 1, CHAMELEON_desck_ttmp, CHAMELEON_desck_a, 0, + CHAMELEON_descexpr1, &ws, msequence, mrequest); + flops = flops + FLOPS_DGEMM(CHAMELEON_desck_ttmp->m, CHAMELEON_desck_a->n, CHAMELEON_descexpr1->n); + VERBOSE(" Done.\n"); + STOP_TIMING(gevv2); + START_TIMING(gevv3); + //(13) Calculate dgemm value= CHAMELEON_desck_a^T * CHAMELEON_desck_atmp + VERBOSE("(13)Calculate dgemm CHAMELEON_descexpr1 = CHAMELEON_desck_a^T * CHAMELEON_desck_a... (MLOE-MMOM)"); + + CHAMELEON_dgemm_Tile_Async(ChamTrans, ChamNoTrans, 1, CHAMELEON_desck_atmp, CHAMELEON_desck_a, 0, + CHAMELEON_descexpr4, &ws, msequence, mrequest); + flops = flops + FLOPS_DGEMM(CHAMELEON_desck_atmp->m, CHAMELEON_desck_a->n, CHAMELEON_descexpr4->n); + VERBOSE(" Done.\n"); + STOP_TIMING(gevv3); + + + START_TIMING(gevv1); + //(11) Calculate dgemm value= CHAMELEON_desck_a^T * CHAMELEON_desck_t + VERBOSE("(11)Calculate dgemm CHAMELEON_descexpr4 = CHAMELEON_desck_a^T * CHAMELEON_desck_t... (Prediction Stage)"); + CHAMELEON_dgemm_Tile_Async(ChamTrans, ChamNoTrans, 1, CHAMELEON_desck_ttmp, CHAMELEON_desck_t, 0, + CHAMELEON_descexpr3, &ws, msequence, mrequest); + flops = flops + FLOPS_DGEMM(CHAMELEON_desck_ttmp->m, CHAMELEON_desck_t->n, CHAMELEON_descexpr3->n); + VERBOSE(" Done.\n"); + STOP_TIMING(gevv1); + + //(14) Calculate dgemm CHAMELEON_desck_a= CHAMELEON_descK_t * CHAMELEON_desck_a (use k_t as k_a) + VERBOSE("(14)Calculate 2dtrmm CHAMELEON_desck_a = CHAMELEON_descK_ttmp * CHAMELEON_desck_a... (MLOE-MMOM)"); + START_TIMING(gevv4); + CHAMELEON_dtrmm_Tile_Async(ChamLeft, ChamLower, ChamTrans, ChamNonUnit, 1, CHAMELEON_descK_t, CHAMELEON_desck_a, + msequence, mrequest); + flops = flops + FLOPS_DGEMM(CHAMELEON_desck_ttmp->m, CHAMELEON_desck_a->n, CHAMELEON_desck_t->n); + VERBOSE(" Done.\n"); + STOP_TIMING(gevv4); + START_TIMING(gevv5); + + // CHAMELEON_dtrmm_Tile_Async(ChamLeft, ChamLower, ChamTrans, ChamNonUnit, 1, CHAMELEON_descK_t, CHAMELEON_desck_atmp, msequence, mrequest); + //(13) Calculate dgemm value= CHAMELEON_desck_a^T * CHAMELEON_desck_t + VERBOSE("(17)Calculate dgemm CHAMELEON_descexpr1 = CHAMELEON_desck_a^T * CHAMELEON_desck_a... (Prediction Stage)"); + CHAMELEON_dgemm_Tile_Async(ChamTrans, ChamNoTrans, 1, CHAMELEON_desck_a, CHAMELEON_desck_a, 0, + CHAMELEON_descexpr2, &ws, msequence, mrequest); + flops = flops + FLOPS_DGEMM(CHAMELEON_desck_atmp->m, CHAMELEON_desck_t->n, CHAMELEON_descexpr2->n); + VERBOSE(" Done.\n"); + STOP_TIMING(gevv5); + + STOP_TIMING(loop_time); + total_loop_time += loop_time; + + CHAMELEON_dgeadd_Tile_Async(ChamNoTrans, 1, CHAMELEON_desctruthalpha, -2, CHAMELEON_descexpr1, msequence, + mrequest); + CHAMELEON_dgeadd_Tile_Async(ChamNoTrans, 1, CHAMELEON_descexpr1, 1, CHAMELEON_descexpr2, msequence, mrequest); + + CHAMELEON_dgeadd_Tile_Async(ChamNoTrans, 1, CHAMELEON_desctruthalpha, -1, CHAMELEON_descexpr3, msequence, + mrequest); + CHAMELEON_dgeadd_Tile_Async(ChamNoTrans, 1, CHAMELEON_descestimatedalpha, -1, CHAMELEON_descexpr4, msequence, + mrequest); + + EXAGEOSTAT_MLE_dmloe_mmom_Tile_Async(CHAMELEON_descexpr2, CHAMELEON_descexpr3, CHAMELEON_descexpr4, + CHAMELEON_descmloe, CHAMELEON_descmmom, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); + + } +#if defined(CHAMELEON_USE_MPI) + if(CHAMELEON_My_Mpi_Rank() == 0) + { +#endif + printf("\nnZmiss = %d\n", nZmiss); + printf(" ----(MLOE-MMOM) Gflop/s: %6.2f\n", flops / 1e9 / (total_loop_time + cholesky1 + cholesky2)); +#if defined(CHAMELEON_USE_MPI) + } +#endif + data->mloe /= nZmiss; + data->mmom /= nZmiss; + STOP_TIMING(all_time); + free(loe); + free(mom); + free(lmiss.x); + free(temp1); + free(temp2); + free(temp3); + free(estimatedalpha); + free(truthalpha); + FILE *pFile; +#if defined(CHAMELEON_USE_MPI) + if ( CHAMELEON_My_Mpi_Rank() == 0 ) + { +#endif + //output + results.mloe = data->mloe; + results.mmom = data->mmom; + printf("\nMMLOE = %f", data->mloe); + printf("\nMMOM = %f\n\n\n", data->mmom); + results.mloe_exec = "async"; + results.total_mloe_mmom_time = all_time; + results.matrix_gen_mloe_mmom_time = matrix_gen1 + matrix_gen2; + results.cho_fact_mloe_mmom_time = cholesky1 + cholesky2; + results.loop_mloe_mmom_time = total_loop_time; + results.total_mloe_mmom_flops = flops / 1e9 / (total_loop_time + cholesky1 + cholesky2); +#if defined(CHAMELEON_USE_MPI) + } +#endif + + fprintf(stderr, " ---- mloe_mmom Time: %6.2f seconds\n\n", all_time); + fprintf(stderr, " ---- gevv Time: %6.2f seconds\n\n", gevv4); +} + +//init Chameleon descriptors +void EXAGEOSTAT_dmle_ng_Call(MLE_data *data, int ncores, int gpus, int dts, int p_grid, int q_grid, int N, int nZobs, + int nZmiss) +//! //Initiate CHAM and allocate different descriptors for +/*! CHAMELEON + * Returns MLE_data data with initial values and new descriptors locations. + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] ncores: number of CPU workers. + * @param[in] gpus: number of GPU workers. + * @param[in] dts: tile size (MB). + * @param[in] p_grid: p_grid in the case of distributed system. + * @param[in] q_grid: q_grid in the case of distributed system. + * @param[in] N: number of spatial locations. + * @param[in] nZobs: number of observed values (known observations). + * @param[in] nZmiss: number of missing values (unknown observations). + * */ +{ + + RUNTIME_sequence_t *msequence; + RUNTIME_request_t mrequest[2] = {CHAMELEON_SUCCESS, CHAMELEON_SUCCESS}; + CHAM_desc_t *CHAM_descC = NULL; + CHAM_desc_t *CHAM_descsubC11 = NULL; + CHAM_desc_t *CHAM_descsubC12 = NULL; + CHAM_desc_t *CHAM_descsubC22 = NULL; + CHAM_desc_t *CHAMELEON_descZ = NULL; + CHAM_desc_t *CHAMELEON_descZ1 = NULL; + CHAM_desc_t *CHAMELEON_descZ2 = NULL; + CHAM_desc_t *CHAMELEON_descZcpy = NULL; + CHAM_desc_t *CHAM_descproduct = NULL; + CHAM_desc_t *CHAM_descproduct1 = NULL; + CHAM_desc_t *CHAM_descproduct2 = NULL; + CHAM_desc_t *CHAM_descdet = NULL; + CHAM_desc_t *CHAMELEON_descsum = NULL; + + // For ditributed system and should be removed + double*Zcpy = (double*) malloc(N * sizeof(double)); + + //Identifies a set of routines sharing common exception handling. + CHAMELEON_Sequence_Create(&msequence); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descC, NULL, ChamRealDouble, dts, dts, dts * dts, N, N, 0, 0, N, N, p_grid, + q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZ, NULL, ChamRealDouble, dts, dts, dts * dts, N, 1, 0, 0, N, 1, + p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZcpy, Zcpy, ChamRealDouble, dts, dts, dts * dts, N, 1, 0, 0, N, 1, + p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descproduct, &data->dotp, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, + 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descproduct1, &data->dotp1, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, + 1, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descproduct2, &data->dotp2, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, + 1, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descdet, &data->det, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, + p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descsum, &data->sum, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, + 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZ1, NULL, ChamRealDouble, dts, dts, dts * dts, N / 2, 1, 0, 0, N / 2, + 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAMELEON_descZ2, NULL, ChamRealDouble, dts, dts, dts * dts, N / 2, 1, 0, 0, N / 2, + 1, p_grid, q_grid); + + + CHAM_descsubC11 = chameleon_desc_submatrix(CHAM_descC, 0, 0, CHAM_descC->m / 2, CHAM_descC->n / 2); + CHAM_descsubC12 = chameleon_desc_submatrix(CHAM_descC, CHAM_descC->m / 2, 0, CHAM_descC->m / 2, CHAM_descC->n / 2); + CHAM_descsubC22 = chameleon_desc_submatrix(CHAM_descC, CHAM_descC->m / 2, CHAM_descC->n / 2, CHAM_descC->m / 2, + CHAM_descC->n / 2); + + //Fill data struct + data->descC = CHAM_descC; + data->descsubC11 = CHAM_descsubC11; + data->descsubC12 = CHAM_descsubC12; + data->descsubC22 = CHAM_descsubC22; + data->descZ = CHAMELEON_descZ; + data->descZ1 = CHAMELEON_descZ1; + data->descZ2 = CHAMELEON_descZ2; + data->descZcpy = CHAMELEON_descZcpy; + data->descdet = CHAM_descdet; + data->descproduct = CHAM_descproduct; + data->descproduct1 = CHAM_descproduct1; + data->descproduct2 = CHAM_descproduct2; + data->descsum = CHAMELEON_descsum; + data->sequence = msequence; + data->request = mrequest; + //stop gsl error handler + gsl_set_error_handler_off(); +} \ No newline at end of file diff --git a/exageostat_exact/src/compute/MLE_sdexact.c b/exageostat_exact/src/compute/MLE_sdexact.c index 3395abb..d7b537a 100644 --- a/exageostat_exact/src/compute/MLE_sdexact.c +++ b/exageostat_exact/src/compute/MLE_sdexact.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020, King Abdullah University of Science and Technology + * Copyright (c) 2017-2023, King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,7 +11,7 @@ * * ExaGeoStat exact computation main functions (i.e., generate synthetic dataset, evaluate ML function, and predication). * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah * @date 2020-01-17 @@ -22,91 +22,50 @@ //*************************************************************************************** -void MORSE_MLE_sdregister_Tile(MLE_data *data) -{ +void EXAGEOSTAT_MLE_sdregister_Tile(MLE_data *data) { - MORSE_sequence_t *msequence = (MORSE_sequence_t *) data->sequence; - MORSE_request_t *mrequest = (MORSE_request_t *) data->request; + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; - MORSE_MLE_sdmat_reg_Tile_Async(MorseLower, data->descC, msequence, mrequest); - MORSE_Sequence_Wait(data->sequence); + EXAGEOSTAT_MLE_sdmat_reg_Tile_Async(ChamLower, data->descC, msequence, mrequest); + CHAMELEON_Sequence_Wait(data->sequence); } -void MORSE_MLE_sdzvg_Tile (MLE_data *data, double * Nrand, double * initial_theta, int n, int dts, int log) - //! Generate Observations Vector (Z) for testing Maximum - /*! Likelihood function -- MORSE-sync - * Returns Z observation vector - * @param[in] data: MLE_data struct with different MLE inputs. - * @param[in] Nrand: A uniform random vector with size n that is used to generate Z . - * @param[in] initial_theta: Theta vector with three parameter (Variance, Range, Smoothness) - * that is used to to generate the Covariance Matrix. - * @param[in] n: Problem size (number spatial locations). - * @param[in] dts: tile size (MB) is used only in the case of HiCMA not MORSE. - * @param[in] test: if 0 -> real data mode, 1 ->test data mode. - * @param[in] log: equals one if the user needs to generate log files for his problem. - * */ +void EXAGEOSTAT_MLE_sdzvg_Tile(MLE_data *data, double*Nrand, double*initial_theta, int n, int dts, int log) +//! Generate Observations Vector (Z) for testing Maximum +/*! Likelihood function -- CHAM-sync + * Returns Z observation vector + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] Nrand: A uniform random vector with size n that is used to generate Z . + * @param[in] initial_theta: Theta vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] n: Problem size (number spatial locations). + * @param[in] dts: tile size (MB) is used only in the case of HiCMA not CHAM. + * @param[in] test: if 0 -> real data mode, 1 ->test data mode. + * @param[in] log: equals one if the user needs to generate log files for his problem. + * */ { - MORSE_sequence_t *msequence = (MORSE_sequence_t *) data->sequence; - MORSE_request_t *mrequest = (MORSE_request_t *) data->request; + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; //In the case of testing mode, Z should be generated using Nrand and initial_theta //if (test == 1) //{ //Generate the co-variance matrix C VERBOSE("Initializing Covariance Matrix (Synthetic Dataset Generation Phase - single-double precision) ....."); - //MORSE_MLE_dcmg_Tile_Async(MorseLower, data->descC, msequence, mrequest, &data->l1, &data->l1, initial_theta, data->dm); - MORSE_MLE_dcmg_Tile_Async(MorseLower, data->descC, &data->l1, &data->l1, &data->lm, initial_theta, data->dm, data->kernel_fun, msequence, mrequest); + //EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, data->descC, msequence, mrequest, &data->l1, &data->l1, initial_theta, data->dm); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, data->descC, &data->l1, &data->l1, &data->lm, initial_theta, data->dm, + data->kernel_fun, msequence, mrequest); VERBOSE(" Done.\n"); - - //double * U = (double *) malloc(n * n* sizeof(double)); - //MORSE_Tile_to_Lapack(data->descC, U, n); - //FILE *matrix=fopen("./40k.txt", "w"); - //int i,j; - //for(i=0;idescC, B, n); - //int *Wi = (double )malloc(n*sizeof(double)); - //double Unorm = LAPACKE_dlange(LAPACK_COL_MAJOR, '1', M, N, B, N); - //dgetrf_( &M, &N, B, &M, Wi, info); - //dgecon_("1", &M, B, &M, &Unorm, &Li, Work, Wi, &info); - - - //Calaculate matrix condition sjjumber - // int P=1; - // int Q=1; - // MORSE_desc_t *descT; - // MORSE_Alloc_Workspace_dgels_Tile(n, n, &descT, 1, 1); - // //EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&descT,NULL , MorseRealDouble, dts, dts, dts * dts, n, n, 0, 0, n, n, 1, 1); - // //MORSE_dlaset_Tile(MorseUpperLower, 0, 0, descT); - // memset(descT->mat, 0, (n*n)*sizeof(MorseRealDouble)); - // double Uinvnorm=0; - // double Unorm=0; - // Unorm = MORSE_dlange_Tile( MorseOneNorm, data->descC); - // MORSE_dgeqrf_Tile( data->descC, descT); - // MORSE_dtrtri_Tile( MorseLower, MorseNonUnit, data->descC); - // Uinvnorm = MORSE_dlantr_Tile( MorseOneNorm, MorseLower, MorseNonUnit, data->descC); - // double condition_number = ((double)1.0 / (double)Uinvnorm) / (double)Unorm ; - // printf("condition_number=%f, Uinvnorm= %f, Unorm=%f\n", condition_number, Uinvnorm, Unorm); - // exit(0); - - - //Copy Nrand to Z VERBOSE("Generate Normal Random Distribution Vector Z (Synthetic Dataset Generation Phase - single-double precision) ....."); - MORSE_MLE_dzcpy_Tile_Async(data->descZ, Nrand, msequence, mrequest); + EXAGEOSTAT_MLE_dzcpy_Tile_Async(data->descZ, Nrand, msequence, mrequest); VERBOSE(" Done.\n"); //Cholesky factorization for the Co-variance matrix C VERBOSE("Cholesky factorization of Sigma (Synthetic Dataset Generation Phase - single-double precision) ....."); - int success = MORSE_dpotrf_Tile(MorseLower, data->descC); + int success = CHAMELEON_dpotrf_Tile(ChamLower, data->descC); //printf(" success=%d \n", success); //exit(0); SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); @@ -114,19 +73,18 @@ void MORSE_MLE_sdzvg_Tile (MLE_data *data, double * Nrand, double * initial_the //Triangular matrix-matrix multiplication VERBOSE("Triangular matrix-matrix multiplication Z=L.e (Synthetic Dataset Generation Phase - single-double precision) ....."); - MORSE_dtrmm_Tile(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, data->descC, data->descZ); + CHAMELEON_dtrmm_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, data->descC, data->descZ); VERBOSE(" Done.\n"); //if log==1 write vector to disk - if(log==1) - { - double *z; - MORSE_desc_t *MORSE_descZ = (MORSE_desc_t *)(data->descZ); + if (log == 1) { + double*z; + CHAM_desc_t *CHAM_descZ = (CHAM_desc_t *) (data->descZ); #if defined(CHAMELEON_USE_MPI) - z = (double *) malloc(n * sizeof(double)); - MORSE_Tile_to_Lapack( MORSE_descZ, z, n); + z = (double*) malloc(n * sizeof(double)); + CHAM_Tile_to_Lapack( CHAM_descZ, z, n); #else - z = MORSE_descZ->mat; + z = CHAM_descZ->mat; #endif write_vectors(z, data, n); #if defined(CHAMELEON_USE_MPI) @@ -134,92 +92,71 @@ void MORSE_MLE_sdzvg_Tile (MLE_data *data, double * Nrand, double * initial_the #endif } - /* } - else - { - double * streamdata; - streamdata=(double *) malloc(n * sizeof(double)); - - //Reading Observations from disk and copy it to data->descZ - VERBOSE("Reading Observations from disk ....."); - streamdata = readObsFile(data->obsFPath, n); - MORSE_MLE_szcpy_Tile_Async(data->descZ, streamdata, msequence, mrequest); - MORSE_Sequence_Wait(data->sequence); - VERBOSE(" Done.\n"); - free(streamdata); - } - */ - MORSE_dlaset_Tile(MorseLower, 0, 0, data->descC); + CHAMELEON_dlaset_Tile(ChamLower, 0, 0, data->descC); VERBOSE("Done Z Vector Generation Phase. (Chameleon Synchronous - single-double precision)\n"); VERBOSE("************************************************************\n"); } - - -void MORSE_MLE_sdzcpy( MLE_data *data, double *streamdata) -{ - MORSE_sequence_t *msequence = (MORSE_sequence_t *) data->sequence; - MORSE_request_t *mrequest = (MORSE_request_t *) data->request; +void EXAGEOSTAT_MLE_sdzcpy(MLE_data *data, double*streamdata) { + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; VERBOSE("Copy Z from vector to decriptor.\n"); - MORSE_MLE_dzcpy_Tile_Async(data->descZ, streamdata, msequence, mrequest); - MORSE_Sequence_Wait(msequence); + EXAGEOSTAT_MLE_dzcpy_Tile_Async(data->descZ, streamdata, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); VERBOSE("Done Z copying step.\n"); VERBOSE("************************************************************\n"); } - - -void MORSE_MLE_sdzvg_Tile_Async(MLE_data *data, double * Nrand, double * initial_theta, int n, int dts, int log) - //! Generate Observations Vector (Z) for testing Maximum - /*! Likelihood function -- MORSE-Async - * Returns Z observation vector - * @param[in] data: MLE_data struct with different MLE inputs. - * @param[in] Nrand: A uniform random vector with size n that is used to generate Z . - * @param[in] initial_theta: Theta vector with three parameter (Variance, Range, Smoothness) - * that is used to to generate the Covariance Matrix. - * @param[in] n: Problem size (number spatial locations). - * @param[in] dts: tile size (MB) is used only in the case of HiCMA not MORSE. - * @param[in] test: if 0 -> real data mode, 1 ->test data mode. - * @param[in] log: equals one if the user needs to generate log files for his problem. - * */ +void EXAGEOSTAT_MLE_sdzvg_Tile_Async(MLE_data *data, double*Nrand, double*initial_theta, int n, int dts, int log) +//! Generate Observations Vector (Z) for testing Maximum +/*! Likelihood function -- CHAM-Async + * Returns Z observation vector + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] Nrand: A uniform random vector with size n that is used to generate Z . + * @param[in] initial_theta: Theta vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] n: Problem size (number spatial locations). + * @param[in] dts: tile size (MB) is used only in the case of HiCMA not CHAM. + * @param[in] test: if 0 -> real data mode, 1 ->test data mode. + * @param[in] log: equals one if the user needs to generate log files for his problem. + * */ { - MORSE_sequence_t *msequence = (MORSE_sequence_t *) data->sequence; - MORSE_request_t *mrequest = (MORSE_request_t *) data->request; - //In the case of testing mode, Z should be generated using Nrand and initial_theta - // if (test ==1) - // { + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + //Generate the co-variance matrix C VERBOSE("Initializing Covariance Matrix (Synthetic Dataset Generation Phase - single-double precision)....."); - //MORSE_MLE_dcmg_Tile_Async(MorseLower, data->descC, msequence, mrequest, &data->l1, &data->l1, initial_theta, data->dm); - MORSE_MLE_dcmg_Tile_Async(MorseLower, data->descC, &data->l1, &data->l1, &data->lm, initial_theta, data->dm, data->kernel_fun, msequence, mrequest); + //EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, data->descC, msequence, mrequest, &data->l1, &data->l1, initial_theta, data->dm); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, data->descC, &data->l1, &data->l1, &data->lm, initial_theta, data->dm, + data->kernel_fun, msequence, mrequest); VERBOSE(" Done.\n"); //Copy Nrand to Z VERBOSE("Generate Normal Random Distribution Vector Z (Synthetic Dataset Generation Phase - single-double precision) ....."); - MORSE_MLE_dzcpy_Tile_Async(data->descZ, Nrand, msequence, mrequest); + EXAGEOSTAT_MLE_dzcpy_Tile_Async(data->descZ, Nrand, msequence, mrequest); VERBOSE(" Done.\n"); //Cholesky factorization for the Co-variance matrix C VERBOSE("Cholesky factorization of Sigma (Synthetic Dataset Generation Phase - single-double precision) ....."); - int success = MORSE_dpotrf_Tile_Async(MorseLower, data->descC, msequence, mrequest); + int success = CHAMELEON_dpotrf_Tile_Async(ChamLower, data->descC, msequence, mrequest); SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); VERBOSE(" Done.\n"); //Triangular matrix-matrix multiplication VERBOSE("Triangular matrix-matrix multiplication Z=L.e (Synthetic Dataset Generation Phase - single-double precision) ....."); - MORSE_dtrmm_Tile_Async(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, data->descC, data->descZ, msequence, mrequest); + CHAMELEON_dtrmm_Tile_Async(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, data->descC, data->descZ, msequence, + mrequest); VERBOSE(" Done.\n"); //if log == 1 write vector to disk - if(log == 1) - { - double *z; - MORSE_desc_t *MORSE_descZ = (MORSE_desc_t *)(data->descZ); + if (log == 1) { + double*z; + CHAM_desc_t *CHAM_descZ = (CHAM_desc_t *) (data->descZ); #if defined(CHAMELEON_USE_MPI) - z = (double *) malloc(n * sizeof(double)); - MORSE_Tile_to_Lapack( MORSE_descZ, z, n); + z = (double*) malloc(n * sizeof(double)); + CHAMELEON_Tile_to_Lapack( CHAM_descZ, z, n); #else - z = MORSE_descZ->mat; + z = CHAM_descZ->mat; #endif write_vectors(z, data, n); @@ -228,327 +165,251 @@ void MORSE_MLE_sdzvg_Tile_Async(MLE_data *data, double * Nrand, double * initia #endif } - /* } - else - { - double * streamdata; - streamdata=(double *) malloc(n * sizeof(double)); - - //Reading Observations from disk and copy it to data->descZ - VERBOSE("Reading Observations from disk ....."); - streamdata = readObsFile(data->obsFPath, n); - MORSE_MLE_szcpy_Tile_Async(data->descZ, streamdata, msequence, mrequest); - MORSE_Sequence_Wait(data->sequence); - VERBOSE(" Done.\n"); - free(streamdata); - } - */ VERBOSE("Done Z Vector Generation Phase. (Chameleon Asynchronous - single-double precision)\n"); VERBOSE("************************************************************\n"); } - - -double MORSE_sdmle_Tile(unsigned n, const double * theta, double * grad, void * MORSE_data) { +double EXAGEOSTAT_sdmle_Tile(unsigned n, const double*theta, double*grad, void *CHAM_data) { //! Maximum Likelihood Evaluation (MLE) - /*! -- MORSE-sync-single-double precision. + /*! -- CHAM-sync-single-double precision. * Returns the loglikelihhod value for the given theta. * @param[in] n: unsigned variable used by NLOPT library. * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) * that is used to to generate the Covariance Matrix. * @param[in] grad: double variable used by NLOPT library. - * @param[in] MORSE_data: MLE_data struct with different MLE inputs. + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. * */ //Initialization - double loglik=0.0, logdet=0.0, time_facto = 0.0, time_solve = 0.0, logdet_calculate = 0.0, matrix_gen_time=0.0, zcpy_time=0.0; + double loglik = 0.0, logdet = 0.0, time_facto = 0.0, time_solve = 0.0, logdet_calculate = 0.0, matrix_gen_time = 0.0, zcpy_time = 0.0; int N, NRHS, success; - double flops =0.0; + double flops = 0.0; int num_params; int i; - MLE_data* data = ((MLE_data*)MORSE_data); - data->det = 0; - data->dotp = 0; + MLE_data *data = ((MLE_data *) CHAM_data); + data->det = 0; + data->dotp = 0; int diag_thick = data->diag_thick; - MORSE_desc_t *MORSE_descC = (MORSE_desc_t *) data->descC; - MORSE_desc_t *MORSE_descZ = (MORSE_desc_t *) data->descZ; - MORSE_desc_t *MORSE_descZcpy = (MORSE_desc_t *) data->descZcpy; - MORSE_desc_t *MORSE_descdet = (MORSE_desc_t *) data->descdet; - MORSE_desc_t *MORSE_descproduct = (MORSE_desc_t *) data->descproduct; - MORSE_desc_t *MORSE_desctemp = (MORSE_desc_t *) data->desctemp; - MORSE_sequence_t *msequence = (MORSE_sequence_t *) data->sequence; - MORSE_request_t *mrequest = (MORSE_request_t *) data->request; - - if(strcmp(data->kernel_fun, "univariate_matern_stationary") == 0 || strcmp(data->kernel_fun, "univariate_pow_exp_stationary") == 0 ) + CHAM_desc_t *CHAM_descC = (CHAM_desc_t *) data->descC; + CHAM_desc_t *CHAM_descZ = (CHAM_desc_t *) data->descZ; + CHAM_desc_t *CHAM_descZcpy = (CHAM_desc_t *) data->descZcpy; + CHAM_desc_t *CHAM_descdet = (CHAM_desc_t *) data->descdet; + CHAM_desc_t *CHAM_descproduct = (CHAM_desc_t *) data->descproduct; + CHAM_desc_t *CHAM_desctemp = (CHAM_desc_t *) data->desctemp; + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + + if (strcmp(data->kernel_fun, "univariate_matern_stationary") == 0 || + strcmp(data->kernel_fun, "univariate_pow_exp_stationary") == 0) num_params = 3; - else if(strcmp(data->kernel_fun, "univariate_matern_nuggets_stationary") == 0) + else if (strcmp(data->kernel_fun, "univariate_matern_nuggets_stationary") == 0) num_params = 4; - else if(strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) + else if (strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) num_params = 9; - else if(strcmp(data->kernel_fun, "bivariate_matern_flexible") == 0) + else if (strcmp(data->kernel_fun, "bivariate_matern_flexible") == 0) num_params = 11; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0) + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0) num_params = 6; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0) + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0) num_params = 6; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) num_params = 6; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) num_params = 6; - else if(strcmp(data->kernel_fun, "univariate_spacetime_matern_stationary") == 0) + else if (strcmp(data->kernel_fun, "univariate_spacetime_matern_stationary") == 0) num_params = 7; - else - { - fprintf(stderr,"Choosen kernel is not exist(2)!\n"); - fprintf(stderr, "Called function is: %s\n",__func__); + else if (strcmp(data->kernel_fun, "bivariate_spacetime_matern_stationary") == 0) + num_params = 10; + else if (strcmp(data->kernel_fun, "trivariate_matern_parsimonious") == 0 || + strcmp(data->kernel_fun, "trivariate_matern_parsimonious_profile") == 0) + num_params = 10; + else if (strcmp(data->kernel_fun, "univariate_matern_non_stat") == 0) + num_params = 8; + else if (strcmp(data->kernel_fun, "univariate_matern_non_gaussian") == 0 || + strcmp(data->kernel_fun, "univariate_exp_non_gaussian") == 0) + num_params = 6; + else { + fprintf(stderr, "Choosen kernel is not exist(2)!\n"); + fprintf(stderr, "Called function is: %s\n", __func__); exit(0); } - N = MORSE_descC->m; - NRHS = MORSE_descZ->n; + N = CHAM_descC->m; + NRHS = CHAM_descZ->n; START_TIMING(zcpy_time); - if(data->iter_count==0) + if (data->iter_count == 0) //Save a copy of descZ into descZcpy for restoring each iteration (Only for the first iteration) - MORSE_dlacpy_Tile(MorseUpperLower, MORSE_descZ, MORSE_descZcpy); - else - { + CHAMELEON_dlacpy_Tile(ChamUpperLower, CHAM_descZ, CHAM_descZcpy); + else { VERBOSE("Re-store the original Z vector..."); - MORSE_dlacpy_Tile(MorseUpperLower, MORSE_descZcpy,MORSE_descZ); + CHAMELEON_dlacpy_Tile(ChamUpperLower, CHAM_descZcpy, CHAM_descZ); VERBOSE(" Done.\n"); } - STOP_TIMING(zcpy_time); + STOP_TIMING(zcpy_time); - //**************************** - // double *C = (double *) malloc(N * N * sizeof(double)); - //Generate new co-variance matrix C based on new theta VERBOSE("Generate New Covariance Matrix (single-double precision)..."); - START_TIMING(matrix_gen_time); - //MORSE_MLE_sdcmg_Tile_Async(MorseLower, MORSE_descC, msequence, &mrequest[0], &data->l1, &data->l1, (double *)theta, data->dm, diag_thick); - MORSE_MLE_sdcmg_Tile_Async(MorseLower, MORSE_descC, &data->l1, &data->l1, &data->lm, (double *)theta, data->dm, data->kernel_fun, msequence, &mrequest[0]); - MORSE_Sequence_Wait(msequence); + START_TIMING(matrix_gen_time); + EXAGEOSTAT_MLE_sdcmg_Tile_Async(ChamLower, CHAM_descC, &data->l1, &data->l1, &data->lm, (double*) theta, data->dm, + data->kernel_fun, msequence, &mrequest[0]); + CHAMELEON_Sequence_Wait(msequence); STOP_TIMING(matrix_gen_time); VERBOSE(" Done.\n"); - - //MORSE_MLE_dprint_Tile_Async(MORSE_descC, msequence, &mrequest[0]); - //MORSE_Sequence_Wait(msequence); - //exit(0); - - // double *C = (double *) malloc(N * N * sizeof(double)); - // float *C2 = (float *) malloc(N * N * sizeof(float)); - // MORSE_Tile_to_Lapack( MORSE_descC, C, N); - // MORSE_Tile_to_Lapack( (MORSE_desc_t *) data->desctemp, C2, N); - // print_dmatrix("testC", 16, 16, C, 16); - // print_smatrix("tempC", 16, 16, C2, 16); - - - - - - // exit(0); - //Calculate Cholesky Factorization (C=LL-1) VERBOSE("Cholesky factorization of Sigma (single/double precision)..."); START_TIMING(time_facto); - success = MORSE_sdpotrf_Tile(MorseLower, MORSE_descC, MORSE_desctemp, diag_thick); + success = EXAGEOSTAT_sdpotrf_Tile(ChamLower, CHAM_descC, CHAM_desctemp, diag_thick); STOP_TIMING(time_facto); SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); flops = flops + FLOPS_DPOTRF(N); VERBOSE(" Done.\n"); - //you need to generate the full matrix - //MORSE_desc_t *MORSE_descC2 = NULL; - //MORSE_desc_t *MORSE_descC3 = NULL; - //MORSE_desc_t *MORSE_descC4 = NULL; - //MORSE_Sequence_Wait(msequence); - //EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC2,NULL , MorseRealDouble, 560, 560, 560 * 560, N, N, 0, 0, N, N, 1, 1); - //EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC4,NULL , MorseRealDouble, 560, 560, 560 * 560, N, N, 0, 0, N, N, 1, 1); - //MORSE_dlaset_Tile(MorseUpperLower, 0, 0, MORSE_descC4); - //MORSE_dlacpy_Tile(MorseLower ,MORSE_descC,MORSE_descC4); - //EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC3,NULL , MorseRealDouble, 560, 560, 560 * 560, N, N, 0, 0, N, N, 1, 1); - //MORSE_MLE_dcmg_Tile_Async(MorseLower, MORSE_descC2, msequence, &mrequest[0], &data->l1, &data->l1, (double *)theta, data->dm); - //MORSE_Sequence_Wait(msequence); - //MORSE_dgemm_Tile (MorseNoTrans, MorseTrans, 1, MORSE_descC4, MORSE_descC4, 0, MORSE_descC3); - - //double error=0; - //double norm_c=0; - //MORSE_dgeadd_Tile_Async( MorseTrans, 1.0, MORSE_descC2 - // ,-1.0, MORSE_descC3, msequence, &mrequest[0] ); - //MORSE_Sequence_Wait(msequence); - //MORSE_dlange_Tile_Async( MorseFrobeniusNorm, - // MORSE_descC3, &error, msequence, &mrequest[0] - // ); - //MORSE_Sequence_Wait(msequence); - //MORSE_dlange_Tile_Async( MorseFrobeniusNorm, - // MORSE_descC2, &norm_c, msequence, &mrequest[0] - // ); - - - //MORSE_Sequence_Wait(msequence); - //printf("error: %e\n", (error/norm_c)); - //exit(0); //Calculate log(|C|) --> log(square(|L|)) VERBOSE("Calculating the log determinant (single-double precision) ..."); START_TIMING(logdet_calculate); - MORSE_MLE_dmdet_Tile_Async(MORSE_descC, msequence, &mrequest[0], MORSE_descdet); - MORSE_Sequence_Wait(msequence); - // printf("det: %f\n", data->det); - logdet= 2 * data->det; + EXAGEOSTAT_MLE_dmdet_Tile_Async(CHAM_descC, msequence, &mrequest[0], CHAM_descdet); + CHAMELEON_Sequence_Wait(msequence); + + logdet = 2 * data->det; STOP_TIMING(logdet_calculate); VERBOSE(" Done.\n"); - //printf("logdet: %f\n",logdet); - // exit(0); - //exit(0); - //exit(0); //Solving Linear System (L*X=Z)--->inv(L)*Z VERBOSE("Solving the linear system (single-double precision)...\n"); START_TIMING(time_solve); - MORSE_dtrsm_Tile(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, MORSE_descC, MORSE_descZ); + CHAMELEON_dtrsm_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAM_descC, CHAM_descZ); STOP_TIMING(time_solve); - flops = flops + FLOPS_DTRSM(MorseLeft,N, NRHS); - VERBOSE(" Done.\n"); + flops = flops + FLOPS_DTRSM(ChamLeft, N, NRHS); + VERBOSE(" Done.\n"); - //double *Z = (double *) malloc(N * sizeof(double)); - //MORSE_Tile_to_Lapack( MORSE_descZ, Z, N); - //print_dmatrix("testZ", 16, 1, Z, 1); - //exit(0); //Calculate MLE likelihood VERBOSE("Calculating the MLE likelihood function (single-double precision) ..."); - //dotp=0; - //MORSE_MLE_core_ddotp_Async(MORSE_descZ,MORSE_descproduct,msequence, &mrequest[0]); - //MORSE_Sequence_Wait(msequence); - MORSE_dgemm_Tile (MorseTrans, MorseNoTrans, 1, MORSE_descZ, MORSE_descZ, 0, MORSE_descproduct); + CHAMELEON_dgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAM_descZ, CHAM_descZ, 0, CHAM_descproduct); - loglik = -0.5 * data->dotp - 0.5*logdet - (N / 2.0) * log(2.0 * PI); - //loglik = -(N /2.0) + (N /2.0)*log (N) -(N / 2.0 ) * log(data->dotp) - 0.5*logdet - (double) (N / 2.0) * log(2.0 * PI); + loglik = -0.5 * data->dotp - 0.5 * logdet - (N / 2.0) * log(2.0 * PI); VERBOSE(" Done.\n"); - // data->variance = (1.0/N) * data->dotp; data->variance = theta[0]; //Distribute the values in the case of MPI #if defined(CHAMELEON_USE_MPI) MPI_Bcast(&loglik, 1, MPI_DOUBLE, 0, MPI_COMM_WORLD ); MPI_Bcast(theta, num_params, MPI_DOUBLE, 0, MPI_COMM_WORLD ); - if(MORSE_My_Mpi_Rank() == 0) + if(CHAMELEON_My_Mpi_Rank() == 0) { #endif - //Print Iteration Summary - //fprintf(stderr,"***************************************************\n"); - printf(" %3d- Model Parameters (", data->iter_count+1); - - if(data->log == 1) - fprintf(data->pFileLog, " %3d- Model Parameters (", data->iter_count+1); - - if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0 || strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) - { - printf("%.8f, %.8f,", data->variance1, data->variance2); - if(data->log == 1) - fprintf(data->pFileLog,"%.8f, %.8f,", data->variance1, data->variance2); - i = 2; - results.estimated_theta[0] = data->variance1; - results.estimated_theta[1] = data->variance2; - } - else - i=0; - for(;ilog == 1) - fprintf(data->pFileLog,"%.8f, ", theta[i]); - } - - printf(")----> LogLi: %.18f\n", loglik); - if(data->log == 1) - fprintf(data->pFileLog, ")----> LogLi: %.18f\n", loglik); - - - //printf(" ---- Facto Time: %6.2f\n", time_facto); - //printf(" ---- logdet Time: %6.2f\n", logdet_calculate); - //printf(" ---- dtrsm Time: %6.2f\n", time_solve); - printf(" ---- Matrix Generation Time: %6.2f\n", matrix_gen_time); - //fprintf(stderr," ---- re-store Z Vector Time: %6.2f\n", zcpy_time); - printf(" ---- Total Time: %6.2f\n", matrix_gen_time+ time_facto + logdet_calculate + time_solve); - //fprintf(stderr," ---- Gflop (ignore): %6.2f\n", flops / 1e9 ); - printf(" ---- Gflop/s: %6.2f\n", flops / 1e9 / (time_facto + time_solve)); - //fprintf(stderr," ---- Peak Performance: %6.2f Gflops/s\n", (ncores*p_grid*q_grid*16*2.3) ); - //fprintf(stderr,"***************************************************\n"); + //Print Iteration Summary + printf(" %3d- Model Parameters (", data->iter_count + 1); + + if (data->log == 1) + fprintf(data->pFileLog, " %3d- Model Parameters (", data->iter_count + 1); + + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0 + || strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { + printf("%.8f, %.8f,", data->variance1, data->variance2); + if (data->log == 1) + fprintf(data->pFileLog, "%.8f, %.8f,", data->variance1, data->variance2); + i = 2; + results.estimated_theta[0] = data->variance1; + results.estimated_theta[1] = data->variance2; + } else if (strcmp(data->kernel_fun, "trivariate_matern_parsimonious_profile") == 0) { + printf("%.8f, %.8f, %.8f,", data->variance1, data->variance2, data->variance3); + if (data->log == 1) + fprintf(data->pFileLog, "%.8f, %.8f, %.8f,", data->variance1, data->variance2, data->variance3); + i = 3; + results.estimated_theta[0] = data->variance1; + results.estimated_theta[1] = data->variance2; + results.estimated_theta[2] = data->variance3; + } else + i = 0; + for (; i < num_params; i++) { + printf("%.8f", theta[i]); + if (i < num_params - 1) + printf(","); + + results.estimated_theta[i] = theta[i]; + if (data->log == 1) + fprintf(data->pFileLog, "%.8f, ", theta[i]); + } + + printf(")----> LogLi: %.18f\n", loglik); + if (data->log == 1) + fprintf(data->pFileLog, ")----> LogLi: %.18f\n", loglik); + + printf(" ---- Matrix Generation Time: %6.2f\n", matrix_gen_time); + printf(" ---- Total Time: %6.2f\n", matrix_gen_time + time_facto + logdet_calculate + time_solve); + printf(" ---- Gflop/s: %6.2f\n", flops / 1e9 / (time_facto + time_solve)); #if defined(CHAMELEON_USE_MPI) } #endif data->iter_count++; // for experiments - data->avg_exec_time_per_iter+=/*matrix_gen_time+*/time_facto + logdet_calculate + time_solve; - data->avg_flops_per_iter+=flops / 1e9 / (time_facto +time_solve); - data->final_loglik=loglik; + data->avg_exec_time_per_iter +=/*matrix_gen_time+*/time_facto + logdet_calculate + time_solve; + data->avg_flops_per_iter += flops / 1e9 / (time_facto + time_solve); + data->final_loglik = loglik; printf("%0.18f\n", loglik); return loglik; } -double MORSE_sdmle_Tile_Async(unsigned n, const double * theta, double * grad, void * MORSE_data) { +double EXAGEOSTAT_sdmle_Tile_Async(unsigned n, const double*theta, double*grad, void *CHAM_data) { //! Maximum Likelihood Evaluation (MLE) - /*! -- MORSE-Async + /*! -- CHAM-Async * Returns the loglikelihhod value for the given theta. * @param[in] n: unsigned variable used by NLOPT library. * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) * that is used to to generate the Covariance Matrix. * @param[in] grad: double variable used by NLOPT library. - * @param[in] MORSE_data: MLE_data struct with different MLE inputs. + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. * */ //Initialization - double loglik=0.0, logdet=0.0, time_facto = 0.0, time_solve = 0.0, logdet_calculate = 0.0, matrix_gen_time=0.0, zcpy_time=0.0, flops = 0.0; + double loglik = 0.0, logdet = 0.0, time_facto = 0.0, time_solve = 0.0, logdet_calculate = 0.0, matrix_gen_time = 0.0, zcpy_time = 0.0, flops = 0.0; int N, NRHS, success; - MLE_data* data = ((MLE_data*)MORSE_data); - data->det = 0; - data->dotp = 0; + MLE_data *data = ((MLE_data *) CHAM_data); + data->det = 0; + data->dotp = 0; - MORSE_desc_t *MORSE_descC = (MORSE_desc_t *) data->descC; - MORSE_desc_t *MORSE_descZ = (MORSE_desc_t *) data->descZ; - MORSE_desc_t *MORSE_descZcpy = (MORSE_desc_t *) data->descZcpy; - MORSE_desc_t *MORSE_descdet = (MORSE_desc_t *) data->descdet; - MORSE_desc_t *MORSE_descproduct = (MORSE_desc_t *) data->descproduct; - MORSE_sequence_t *msequence = (MORSE_sequence_t *) data->sequence; - MORSE_request_t *mrequest = (MORSE_request_t *) data->request; + CHAM_desc_t *CHAM_descC = (CHAM_desc_t *) data->descC; + CHAM_desc_t *CHAM_descZ = (CHAM_desc_t *) data->descZ; + CHAM_desc_t *CHAM_descZcpy = (CHAM_desc_t *) data->descZcpy; + CHAM_desc_t *CHAM_descdet = (CHAM_desc_t *) data->descdet; + CHAM_desc_t *CHAM_descproduct = (CHAM_desc_t *) data->descproduct; + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; - N = MORSE_descC->m; - NRHS = MORSE_descZ->n; + N = CHAM_descC->m; + NRHS = CHAM_descZ->n; START_TIMING(zcpy_time); - if(data->iter_count == 0) + if (data->iter_count == 0) //Save a copy of descZ into descZcpy for restoring each iteration (Only for the first iteration) - MORSE_slacpy_Tile_Async(MorseUpperLower, MORSE_descZ, MORSE_descZcpy, msequence, mrequest); - else - { + CHAMELEON_slacpy_Tile_Async(ChamUpperLower, CHAM_descZ, CHAM_descZcpy, msequence, mrequest); + else { VERBOSE("re-store the original Z vector (single-double precision)..."); - MORSE_slacpy_Tile_Async(MorseUpperLower, MORSE_descZcpy, MORSE_descZ, msequence, mrequest); + CHAMELEON_slacpy_Tile_Async(ChamUpperLower, CHAM_descZcpy, CHAM_descZ, msequence, mrequest); VERBOSE(" Done.\n"); } - STOP_TIMING(zcpy_time); + STOP_TIMING(zcpy_time); //Generate new co-variance matrix C based on new theta VERBOSE("Generate New Covariance Matrix (single-double precision)..."); - START_TIMING(matrix_gen_time); - //MORSE_MLE_scmg_Tile_Async(MorseLower, MORSE_descC, msequence, mrequest, &data->l1, &data->l1, (double*) theta, data->dm); - MORSE_MLE_sdcmg_Tile_Async(MorseLower, MORSE_descC, &data->l1, &data->l1, &data->lm, (double *)theta, data->dm, data->kernel_fun, msequence, &mrequest[0]); - MORSE_Sequence_Wait(msequence); + START_TIMING(matrix_gen_time); + //EXAGEOSTAT_MLE_scmg_Tile_Async(ChamLower, CHAM_descC, msequence, mrequest, &data->l1, &data->l1, (double*) theta, data->dm); + EXAGEOSTAT_MLE_sdcmg_Tile_Async(ChamLower, CHAM_descC, &data->l1, &data->l1, &data->lm, (double*) theta, data->dm, + data->kernel_fun, msequence, &mrequest[0]); + CHAMELEON_Sequence_Wait(msequence); STOP_TIMING(matrix_gen_time); VERBOSE(" Done.\n"); //Calculate Cholesky Factorization (C=LL-1) VERBOSE("Cholesky factorization of Sigma (single-double precision)..."); START_TIMING(time_facto); - success = MORSE_spotrf_Tile_Async(MorseLower, MORSE_descC, msequence, mrequest); + success = CHAMELEON_spotrf_Tile_Async(ChamLower, CHAM_descC, msequence, mrequest); STOP_TIMING(time_facto); SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); flops = flops + FLOPS_SPOTRF(N); @@ -557,65 +418,60 @@ double MORSE_sdmle_Tile_Async(unsigned n, const double * theta, double * grad, v //Calculate log(|C|) --> log(square(|L|)) VERBOSE("Calculating the log determinant (single-double precision) ..."); START_TIMING(logdet_calculate); - MORSE_MLE_smdet_Tile_Async(MORSE_descC, msequence, &mrequest[0], MORSE_descdet); - MORSE_Sequence_Wait(msequence); - logdet= 2 * data->det; + EXAGEOSTAT_MLE_smdet_Tile_Async(CHAM_descC, msequence, &mrequest[0], CHAM_descdet); + CHAMELEON_Sequence_Wait(msequence); + logdet = 2 * data->det; STOP_TIMING(logdet_calculate); VERBOSE(" Done.\n"); //Solving Linear System (L*X=Z)--->inv(L)*Z VERBOSE("Solving the linear system (single-double precision) ...\n"); START_TIMING(time_solve); - MORSE_strsm_Tile_Async(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, MORSE_descC, MORSE_descZ, msequence, mrequest); + CHAMELEON_strsm_Tile_Async(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAM_descC, CHAM_descZ, msequence, + mrequest); STOP_TIMING(time_solve); - flops = flops + FLOPS_STRSM(MorseLeft, N, NRHS); - VERBOSE(" Done.\n"); + flops = flops + FLOPS_STRSM(ChamLeft, N, NRHS); + VERBOSE(" Done.\n"); //Claculate MLE likelihood VERBOSE("Calculating the MLE likelihood function (single-double precision) ..."); - MORSE_sgemm_Tile_Async (MorseTrans, MorseNoTrans, 1, MORSE_descZ, MORSE_descZ, 0, MORSE_descproduct, msequence, mrequest); - loglik = -0.5 * data->dotp - 0.5*logdet - (double) (N / 2.0) * log(2.0 * PI); + void *ws; + CHAMELEON_sgemm_Tile_Async(ChamTrans, ChamNoTrans, 1, CHAM_descZ, CHAM_descZ, 0, CHAM_descproduct, ws, msequence, + mrequest); + loglik = -0.5 * data->dotp - 0.5 * logdet - (double) (N / 2.0) * log(2.0 * PI); VERBOSE(" Done.\n"); //Distribute the values in the case of MPI #if defined(CHAMELEON_USE_MPI) MPI_Bcast(&loglik,1, MPI_DOUBLE, 0, MPI_COMM_WORLD ); MPI_Bcast(theta,3, MPI_DOUBLE, 0, MPI_COMM_WORLD ); - if(MORSE_My_Mpi_Rank() == 0) + if(CHAMELEON_My_Mpi_Rank() == 0) { #endif - //Print Iteration Summary - //fprintf(stderr,"***************************************************\n"); - //fprintf(stderr,"------ddotproduct: %.8f ", data->dotp); - //fprintf(stderr,"------logdet: %.8f ", logdet); - //fprintf(stderr,"------det: %.*e ", det); - //fprintf(stderr,"------expr2: %.8f ",((double) (N / 2) * log(2 * PI))); - //fprintf(stderr," ---- Theta1: %.8f ---- Theta2: %.8f ---- Theta3: %.8f ----LogLi: %.8f\n", theta[0], theta[1], theta[2],loglik); - //reformat - fprintf(stderr," %3d- Model Parameters (variance, range, smoothness): (%.8f, %.8f, %.8f) ----> LogLi: %.8f\n", data->iter_count+1, theta[0], theta[1], theta[2],loglik); - - if(data->log == 1) - fprintf(data->pFileLog, " %3d- Model Parameters (variance, range, smoothness): (%.8f, %.8f, %.8f) ----> LogLi: %.8f\n", data->iter_count+1, theta[0], theta[1], theta[2],loglik); - - fprintf(stderr," ---- Facto Time: %6.2f\n", time_facto); - fprintf(stderr," ---- logdet Time: %6.2f\n", logdet_calculate); - fprintf(stderr," ---- dtrsm Time: %6.2f\n", time_solve); - fprintf(stderr," ---- Matrix Generation Time: %6.2f\n", matrix_gen_time); - //fprintf(stderr," ---- re-store Z Vector Time: %6.2f\n", zcpy_time); - fprintf(stderr," ---- Total Time: %6.2f\n", matrix_gen_time+time_facto + logdet_calculate + time_solve); - //fprintf(stderr," ---- Gflop (ignore): %6.2f\n", flops / 1e9 ); - fprintf(stderr," ---- Gflop/s: %6.2f\n", flops / 1e9 / (time_facto + time_solve)); - //fprintf(stderr," ---- Peak Performance: %6.2f Gflops/s\n", (ncores*p_grid*q_grid*16*2.3) ); - //fprintf(stderr,"***************************************************\n"); + + fprintf(stderr, " %3d- Model Parameters (variance, range, smoothness): (%.8f, %.8f, %.8f) ----> LogLi: %.8f\n", + data->iter_count + 1, theta[0], theta[1], theta[2], loglik); + + if (data->log == 1) + fprintf(data->pFileLog, + " %3d- Model Parameters (variance, range, smoothness): (%.8f, %.8f, %.8f) ----> LogLi: %.8f\n", + data->iter_count + 1, theta[0], theta[1], theta[2], loglik); + + fprintf(stderr, " ---- Facto Time: %6.2f\n", time_facto); + fprintf(stderr, " ---- logdet Time: %6.2f\n", logdet_calculate); + fprintf(stderr, " ---- dtrsm Time: %6.2f\n", time_solve); + fprintf(stderr, " ---- Matrix Generation Time: %6.2f\n", matrix_gen_time); + fprintf(stderr, " ---- Total Time: %6.2f\n", matrix_gen_time + time_facto + logdet_calculate + time_solve); + fprintf(stderr, " ---- Gflop/s: %6.2f\n", flops / 1e9 / (time_facto + time_solve)); #if defined(CHAMELEON_USE_MPI) } #endif data->iter_count++; // for experiments - data->avg_exec_time_per_iter+=matrix_gen_time+time_facto + logdet_calculate + time_solve; - data->avg_flops_per_iter+=flops / 1e9 / (time_facto +time_solve); - data->final_loglik=loglik; + data->avg_exec_time_per_iter += matrix_gen_time + time_facto + logdet_calculate + time_solve; + data->avg_flops_per_iter += flops / 1e9 / (time_facto + time_solve); + data->final_loglik = loglik; printf("%0.18f\n", loglik); @@ -623,61 +479,67 @@ double MORSE_sdmle_Tile_Async(unsigned n, const double * theta, double * grad, v } -void MORSE_sdmle_Predict_Allocate(MLE_data *MORSE_data, int nZmiss, int nZobs, int dts, int p_grid, int q_grid, int mse_flag) -{ +void EXAGEOSTAT_sdmle_Predict_Allocate(MLE_data *CHAM_data, int nZmiss, int nZobs, int dts, int p_grid, int q_grid, + int mse_flag) { - MORSE_desc_t *MORSE_descZmiss = NULL; - MORSE_desc_t *MORSE_descC12 = NULL; - MORSE_desc_t *MORSE_descC22 = NULL; - MORSE_desc_t *MORSE_descmse = NULL; - MORSE_desc_t *MORSE_descZactual = NULL; - MORSE_desc_t *MORSE_descZobs = NULL; - MORSE_desc_t *MORSE_desctemp22 = NULL; - MLE_data *data = (MLE_data*) MORSE_data; + CHAM_desc_t *CHAM_descZmiss = NULL; + CHAM_desc_t *CHAM_descC12 = NULL; + CHAM_desc_t *CHAM_descC22 = NULL; + CHAM_desc_t *CHAM_descmse = NULL; + CHAM_desc_t *CHAM_descZactual = NULL; + CHAM_desc_t *CHAM_descZobs = NULL; + CHAM_desc_t *CHAM_desctemp22 = NULL; + MLE_data *data = (MLE_data *) CHAM_data; - if(nZmiss <= 0) - { - fprintf(stderr," Number of missing values should be positive value\n"); + if (nZmiss <= 0) { + fprintf(stderr, " Number of missing values should be positive value\n"); return; } //Descriptors Creation - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZobs, NULL, MorseRealDouble, dts, dts, dts * dts, nZobs, 1, 0, 0, nZobs, 1, p_grid, q_grid); - if( mse_flag == 1) - { - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZactual, NULL, MorseRealDouble, dts, dts, dts * dts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descmse, &data->mserror, MorseRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descZobs, NULL, ChamRealDouble, dts, dts, dts * dts, nZobs, 1, 0, 0, nZobs, 1, + p_grid, q_grid); + if (mse_flag == 1) { + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descZactual, NULL, ChamRealDouble, dts, dts, dts * dts, nZmiss, 1, 0, 0, + nZmiss, 1, p_grid, q_grid); + + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descmse, &data->mserror, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, + 1, 1, p_grid, q_grid); } - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZmiss, NULL, MorseRealDouble, dts, dts, dts * dts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC12, NULL, MorseRealDouble, dts, dts, dts * dts, nZmiss, nZobs, 0, 0, nZmiss, nZobs, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC22, NULL, MorseRealDouble, dts, dts, dts * dts, nZobs, nZobs, 0, 0, nZobs, nZobs, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_desctemp22, NULL, MorseRealFloat, dts, dts, dts * dts, nZobs, dts, 0, 0, nZobs, dts, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descZmiss, NULL, ChamRealDouble, dts, dts, dts * dts, nZmiss, 1, 0, 0, nZmiss, + 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descC12, NULL, ChamRealDouble, dts, dts, dts * dts, nZmiss, nZobs, 0, 0, + nZmiss, nZobs, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descC22, NULL, ChamRealDouble, dts, dts, dts * dts, nZobs, nZobs, 0, 0, nZobs, + nZobs, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_desctemp22, NULL, ChamRealFloat, dts, dts, dts * dts, nZobs, dts, 0, 0, nZobs, + dts, p_grid, q_grid); //Initiate data descriptors - data->descZmiss = MORSE_descZmiss; - data->descC12 = MORSE_descC12; - data->descC22 = MORSE_descC22; - data->descmse = MORSE_descmse; - data->descZactual = MORSE_descZactual; - data->descZobs = MORSE_descZobs; - data->desctemp22 = MORSE_desctemp22; + data->descZmiss = CHAM_descZmiss; + data->descC12 = CHAM_descC12; + data->descC22 = CHAM_descC22; + data->descmse = CHAM_descmse; + data->descZactual = CHAM_descZactual; + data->descZobs = CHAM_descZobs; + data->desctemp22 = CHAM_desctemp22; } -double MORSE_sdmle_Predict_Tile(MLE_data *MORSE_data, double * theta, int nZmiss, int nZobs, double *Zobs, double *Zactual, double *Zmiss, int n) - //! //Predict missing values base on a set of given values and covariance matrix - /*! -- MORSE-sync - * Returns the prediction Mean Square Error (MSE) as double - * @param[in] MORSE_data: MLE_data struct with different MLE inputs. - * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) - * that is used to to generate the Covariance Matrix. - * @param[in] nZmiss: number of missing values (unknown observations). - * @param[in] nZobs: number of observed values (known observations). - * @param[in] n: number of spatial locations. - * */ +double +EXAGEOSTAT_sdmle_Predict_Tile(MLE_data *CHAM_data, double*theta, int nZmiss, int nZobs, double*Zobs, double*Zactual, + double*Zmiss, int n) +//! //Predict missing values base on a set of given values and covariance matrix +/*! -- CHAM-sync + * Returns the prediction Mean Square Error (MSE) as double + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. + * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] nZmiss: number of missing values (unknown observations). + * @param[in] nZobs: number of observed values (known observations). + * @param[in] n: number of spatial locations. + * */ { //initialization - //double *z = NULL, *streamdata = NULL; double time_solve = 0.0; double mat_gen_time = 0.0; double time_gemm = 0.0; @@ -685,156 +547,134 @@ double MORSE_sdmle_Predict_Tile(MLE_data *MORSE_data, double * theta, int nZmiss double flops = 0.0; int diag_thick; - MORSE_desc_t *MORSE_descZmiss = NULL; - MORSE_desc_t *MORSE_descC12 = NULL; - MORSE_desc_t *MORSE_descC22 = NULL; - MORSE_desc_t *MORSE_descmse = NULL; - MORSE_desc_t *MORSE_descZactual = NULL; - MORSE_desc_t *MORSE_descZobs = NULL; - MORSE_desc_t *MORSE_desctemp22 = NULL; - MLE_data *data = (MLE_data*) MORSE_data; - MORSE_sequence_t *msequence = (MORSE_sequence_t *) data->sequence; - MORSE_request_t *mrequest = (MORSE_request_t *) data->request; - diag_thick = data->diag_thick; - data->mserror = 0; - - if(nZmiss <= 0) - { - fprintf(stderr," Number of missing values should be positive value\n"); + CHAM_desc_t *CHAM_descZmiss = NULL; + CHAM_desc_t *CHAM_descC12 = NULL; + CHAM_desc_t *CHAM_descC22 = NULL; + CHAM_desc_t *CHAM_descmse = NULL; + CHAM_desc_t *CHAM_descZactual = NULL; + CHAM_desc_t *CHAM_descZobs = NULL; + CHAM_desc_t *CHAM_desctemp22 = NULL; + MLE_data *data = (MLE_data *) CHAM_data; + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + diag_thick = data->diag_thick; + data->mserror = 0; + + if (nZmiss <= 0) { + fprintf(stderr, " Number of missing values should be positive value\n"); return -1; } - //Initiate data descriptors - MORSE_descZmiss = data->descZmiss; - MORSE_descC12 = data->descC12; - MORSE_descC22 = data->descC22; - MORSE_descmse = data->descmse; - MORSE_descZactual = data->descZactual; - MORSE_descZobs = data->descZobs; - MORSE_desctemp22 = data->desctemp22; - + CHAM_descZmiss = data->descZmiss; + CHAM_descC12 = data->descC12; + CHAM_descC22 = data->descC22; + CHAM_descmse = data->descmse; + CHAM_descZactual = data->descZactual; + CHAM_descZobs = data->descZobs; + CHAM_desctemp22 = data->desctemp22; //Copy data to vectors VERBOSE("Copy measurments vector to descZobs descriptor..."); - //MORSE_MLE_szcpy_Tile_Async(MORSE_descZobs, Zobs, msequence, mrequest); - MORSE_Lapack_to_Tile( Zobs, nZobs, MORSE_descZobs); + CHAMELEON_Lapack_to_Tile(Zobs, nZobs, CHAM_descZobs); VERBOSE(" Done.\n"); - if( Zactual != NULL) - { + if (Zactual != NULL) { VERBOSE("Copy actual measurments vector to descZactual descriptor..."); - //MORSE_MLE_szcpy_Tile_Async(MORSE_descZactual, Zactual, msequence, mrequest); - MORSE_Lapack_to_Tile( Zactual, nZmiss, MORSE_descZactual); + CHAMELEON_Lapack_to_Tile(Zactual, nZmiss, CHAM_descZactual); VERBOSE(" Done.\n"); } - MORSE_Sequence_Wait(msequence); + CHAMELEON_Sequence_Wait(msequence); #if defined(CHAMELEON_USE_MPI) MPI_Bcast(&data->variance,1, MPI_DOUBLE, 0, MPI_COMM_WORLD ); #endif - theta[0]=data->variance; - - //printf("estimated parameters: %f - %f - %f\n", theta[0], theta[1], theta[2]); + theta[0] = data->variance; START_TIMING(mat_gen_time); //Generate C22 covariance matrix VERBOSE("Generate C22 Covariance Matrix... (Prediction Stage - single-double precision)"); - //MORSE_MLE_sdcmg_Tile_Async(MorseLower, MORSE_descC22, msequence, mrequest, &data->lobs, &data->lobs, theta, data->dm, diag_thick); - MORSE_MLE_sdcmg_Tile_Async(MorseLower, MORSE_descC22, &data->lobs, &data->lobs, &data->lm, theta, data->dm, data->kernel_fun, msequence, mrequest); - MORSE_Sequence_Wait(msequence); - //flops = flops + FLOPS_DPOTRF(nZobs); + EXAGEOSTAT_MLE_sdcmg_Tile_Async(ChamLower, CHAM_descC22, &data->lobs, &data->lobs, &data->lm, theta, data->dm, + data->kernel_fun, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); VERBOSE(" Done.\n"); - //Generate C12 covariance matrix VERBOSE("Generate C12 Covariance Matrix... (Prediction Stage - single-double precision)"); - //MORSE_MLE_sdcmg_Tile_Async(MorseLower, MORSE_descC12, msequence, mrequest, &data->lmiss, &data->lobs, theta, data->dm, diag_thick); - MORSE_MLE_sdcmg_Tile_Async(MorseLower, MORSE_descC12, &data->lmiss, &data->lobs, &data->lm, theta, data->dm, data->kernel_fun, msequence, mrequest); - MORSE_Sequence_Wait(msequence); - //flops = flops + FLOPS_DPOTRF(nZmiss); + EXAGEOSTAT_MLE_sdcmg_Tile_Async(ChamLower, CHAM_descC12, &data->lmiss, &data->lobs, &data->lm, theta, data->dm, + data->kernel_fun, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); VERBOSE(" Done.\n"); STOP_TIMING(mat_gen_time); - - - START_TIMING(time_solve); //Start prediction VERBOSE("Calculate dposv C22 Covariance Matrix... (Prediction Stage - single-double precision)"); - //MORSE_sposv_Tile(MorseLower, MORSE_descC22, MORSE_descZobs); - //flops = flops + FLOPS_SPOTRF(nZobs); - //flops = flops + FLOPS_STRSM(MorseLeft, nZobs, nZobs); - MORSE_sdpotrf_Tile(MorseLower, MORSE_descC22, MORSE_desctemp22, diag_thick); - MORSE_dtrsm_Tile(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, MORSE_descC22, MORSE_descZobs); - MORSE_dtrsm_Tile(MorseLeft, MorseLower, MorseTrans, MorseNonUnit, 1, MORSE_descC22, MORSE_descZobs); + EXAGEOSTAT_sdpotrf_Tile(ChamLower, CHAM_descC22, CHAM_desctemp22, diag_thick); + CHAMELEON_dtrsm_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAM_descC22, CHAM_descZobs); + CHAMELEON_dtrsm_Tile(ChamLeft, ChamLower, ChamTrans, ChamNonUnit, 1, CHAM_descC22, CHAM_descZobs); flops = flops + FLOPS_DPOTRF(nZobs); - flops = flops + FLOPS_DTRSM(MorseLeft, nZobs, nZobs); + flops = flops + FLOPS_DTRSM(ChamLeft, nZobs, nZobs); STOP_TIMING(time_solve); VERBOSE(" Done.\n"); STOP_TIMING(time_solve); - START_TIMING(time_gemm); VERBOSE("Calculate dgemm Zmiss= C12 * Zobs Covariance Matrix... (Prediction Stage - single-double precision)"); - MORSE_dgemm_Tile (MorseNoTrans, MorseNoTrans, 1, MORSE_descC12, MORSE_descZobs, 0, MORSE_descZmiss); + CHAMELEON_dgemm_Tile(ChamNoTrans, ChamNoTrans, 1, CHAM_descC12, CHAM_descZobs, 0, CHAM_descZmiss); flops = flops + FLOPS_SGEMM(nZmiss, nZobs, nZobs); VERBOSE(" Done.\n"); STOP_TIMING(time_gemm); - //return back descZmiss to zmiss vector - MORSE_Tile_to_Lapack( MORSE_descZmiss, Zmiss, nZmiss); + CHAMELEON_Tile_to_Lapack(CHAM_descZmiss, Zmiss, nZmiss); //Estimate Mean Square Error - if( Zactual != NULL) - { + if (Zactual != NULL) { START_TIMING(time_mse); VERBOSE("Calculate Mean Square Error (MSE) ... (Prediction Stage) \n"); - MORSE_MLE_dmse_Tile_Async(MORSE_descZactual, MORSE_descZmiss, MORSE_descmse, msequence, mrequest); - MORSE_Sequence_Wait(msequence); - VERBOSE(" Done.\n"); + EXAGEOSTAT_MLE_dmse_Tile_Async(CHAM_descZactual, CHAM_descZmiss, CHAM_descmse, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); + VERBOSE(" Done.\n"); STOP_TIMING(time_mse); data->mserror /= nZmiss; - } - else + } else data->mserror = -1; #if defined(CHAMELEON_USE_MPI) - if(MORSE_My_Mpi_Rank() == 0) + if(CHAMELEON_My_Mpi_Rank() == 0) { #endif - if(data->log == 1) - fprintf(data->pFileLog, "\n\n# of missing observations :%d\n\nPrediction Execution Time: %.8f, Flops: %.8f, Mean Square Error (MSE): %.8f\n\n", nZmiss, (mat_gen_time+time_solve+time_mse), (flops / 1e9 / (time_solve)), data->mserror ); + if (data->log == 1) + fprintf(data->pFileLog, + "\n\n# of missing observations :%d\n\nPrediction Execution Time: %.8f, Flops: %.8f, Mean Square Error (MSE): %.8f\n\n", + nZmiss, (mat_gen_time + time_solve + time_mse), (flops / 1e9 / (time_solve)), data->mserror); - //printf("prediction mean square error: %f\n", data->mserror); - - write_prediction_result("predict_result.dat", n, data->hicma_acc, 0, 0, data->mserror, (mat_gen_time+time_solve+ time_gemm), (flops / 1e9 / (time_solve))); + write_prediction_result("predict_result.dat", n, data->hicma_acc, 0, 0, 0, data->mserror, + (mat_gen_time + time_solve + time_gemm), (flops / 1e9 / (time_solve))); #if defined(CHAMELEON_USE_MPI) } #endif - return data->mserror; - } - -double MORSE_sdmle_Predict_Tile_Async(MLE_data *MORSE_data, double * theta, int nZmiss, int nZobs, double *Zobs, double *Zactual, double *Zmiss, int n) - //! //Predict missing values base on a set of given values and covariance matrix - /*! -- MORSE-Async - * Returns the prediction Mean Square Error (MSE) as double - * @param[in] MORSE_data: MLE_data struct with different MLE inputs. - * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) - * that is used to to generate the Covariance Matrix. - * @param[in] nZmiss: number of missing values (unknown observations). - * @param[in] nZobs: number of observed values (known observations). - * @param[in] n: number of spatial locations. - * */ +double EXAGEOSTAT_sdmle_Predict_Tile_Async(MLE_data *CHAM_data, double*theta, int nZmiss, int nZobs, double*Zobs, + double*Zactual, double*Zmiss, int n) +//! //Predict missing values base on a set of given values and covariance matrix +/*! -- CHAM-Async + * Returns the prediction Mean Square Error (MSE) as double + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. + * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] nZmiss: number of missing values (unknown observations). + * @param[in] nZobs: number of observed values (known observations). + * @param[in] n: number of spatial locations. + * */ { //initialization @@ -844,40 +684,36 @@ double MORSE_sdmle_Predict_Tile_Async(MLE_data *MORSE_data, double * theta, int double time_mse = 0.0; double flops = 0.0; - MORSE_desc_t *MORSE_descZmiss = NULL; - MORSE_desc_t *MORSE_descC12 = NULL; - MORSE_desc_t *MORSE_descC22 = NULL; - MORSE_desc_t *MORSE_descmse = NULL; - MORSE_desc_t *MORSE_descZactual = NULL; - MORSE_desc_t *MORSE_descZobs = NULL; - MLE_data *data = (MLE_data*) MORSE_data; - MORSE_sequence_t *msequence = (MORSE_sequence_t *) data->sequence; - MORSE_request_t *mrequest = (MORSE_request_t *) data->request; - data->mserror = 0; - - if(nZmiss <= 0) - { - fprintf(stderr," Number of missing values should be positive value\n"); + CHAM_desc_t *CHAM_descZmiss = NULL; + CHAM_desc_t *CHAM_descC12 = NULL; + CHAM_desc_t *CHAM_descC22 = NULL; + CHAM_desc_t *CHAM_descmse = NULL; + CHAM_desc_t *CHAM_descZactual = NULL; + CHAM_desc_t *CHAM_descZobs = NULL; + MLE_data *data = (MLE_data *) CHAM_data; + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + data->mserror = 0; + + if (nZmiss <= 0) { + fprintf(stderr, " Number of missing values should be positive value\n"); return -1; } //Initiate data descriptors. - MORSE_descZmiss = data->descZmiss; - MORSE_descC12 = data->descC12; - MORSE_descC22 = data->descC22; - MORSE_descmse = data->descmse; - MORSE_descZactual = data->descZactual; - MORSE_descZobs = data->descZobs; + CHAM_descZmiss = data->descZmiss; + CHAM_descC12 = data->descC12; + CHAM_descC22 = data->descC22; + CHAM_descmse = data->descmse; + CHAM_descZactual = data->descZactual; + CHAM_descZobs = data->descZobs; //Copy data to vectors. VERBOSE("Copy measurments vector to descZobs descriptor (single-double precision)..."); - //MORSE_Lapack_to_Tile_Async( Zobs, nZobs, MORSE_descZobs, msequence, mrequest); VERBOSE(" Done.\n"); - if( Zactual != NULL) - { + if (Zactual != NULL) { VERBOSE("Copy actual measurments vector to descZactual descriptor (single-double precision)..."); - // MORSE_Lapack_to_Tile_Async( Zactual, nZmiss, MORSE_descZactual, msequence, mrequest); VERBOSE(" Done.\n"); } @@ -885,156 +721,123 @@ double MORSE_sdmle_Predict_Tile_Async(MLE_data *MORSE_data, double * theta, int START_TIMING(mat_gen_time); //Generate C22 covariance matrix. VERBOSE("Generate C22 Covariance Matrix... (Prediction Stage - single-double precision)"); - //MORSE_MLE_scmg_Tile_Async(MorseLower, MORSE_descC22, msequence, mrequest, &data->lobs, &data->lobs, theta, data->dm); - MORSE_MLE_sdcmg_Tile_Async(MorseLower, MORSE_descC22, &data->lobs, &data->lobs, &data->lm, theta, data->dm, data->kernel_fun, msequence, mrequest); + EXAGEOSTAT_MLE_sdcmg_Tile_Async(ChamLower, CHAM_descC22, &data->lobs, &data->lobs, &data->lm, theta, data->dm, + data->kernel_fun, msequence, mrequest); VERBOSE(" Done.\n"); - //Generate C12 covariance matrix. VERBOSE("Generate C12 Covariance Matrix... (Prediction Stage - single-double precision)"); - //MORSE_MLE_scmg_Tile_Async(MorseLower, MORSE_descC12, msequence, mrequest, &data->lmiss, &data->lobs, theta, data->dm); - MORSE_MLE_sdcmg_Tile_Async(MorseLower, MORSE_descC12, &data->lmiss, &data->lobs, &data->lm, theta, data->dm, data->kernel_fun, msequence, mrequest); - MORSE_Sequence_Wait(msequence); + EXAGEOSTAT_MLE_sdcmg_Tile_Async(ChamLower, CHAM_descC12, &data->lmiss, &data->lobs, &data->lm, theta, data->dm, + data->kernel_fun, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); VERBOSE(" Done.\n"); STOP_TIMING(mat_gen_time); - - START_TIMING(time_solve); //Start prediction. VERBOSE("Calculate dposv C22 Covariance Matrix... (Prediction Stage - single-double precision)"); - MORSE_sposv_Tile_Async(MorseLower, MORSE_descC22, MORSE_descZobs, msequence, mrequest); + CHAMELEON_sposv_Tile_Async(ChamLower, CHAM_descC22, CHAM_descZobs, msequence, mrequest); flops = flops + FLOPS_SPOTRF(nZobs); - flops = flops + FLOPS_STRSM(MorseLeft, nZobs, nZobs); + flops = flops + FLOPS_STRSM(ChamLeft, nZobs, nZobs); VERBOSE(" Done.\n"); STOP_TIMING(time_solve); - START_TIMING(time_gemm); VERBOSE("Calculate dgemm Zmiss= C12 * Zobs Covariance Matrix... (Prediction Stage - single-double precision)"); - MORSE_sgemm_Tile_Async (MorseNoTrans, MorseNoTrans, 1, MORSE_descC12, MORSE_descZobs, 0, MORSE_descZmiss, msequence, mrequest); + void *ws; + CHAMELEON_sgemm_Tile_Async(ChamNoTrans, ChamNoTrans, 1, CHAM_descC12, CHAM_descZobs, 0, CHAM_descZmiss, ws, + msequence, mrequest); flops = flops + FLOPS_SGEMM(nZmiss, nZobs, nZobs); VERBOSE(" Done.\n"); STOP_TIMING(time_gemm); - //return back descZmiss to zmiss vector - //MORSE_Tile_to_Lapack_Async( MORSE_descZmiss, Zmiss, nZmiss, msequence, mrequest); //Estimate Mean Square Error - if( Zactual != NULL) - { + if (Zactual != NULL) { START_TIMING(time_mse); VERBOSE("Calculate Mean Square Error (MSE) ... (Prediction Stage - single-double precision) \n"); - MORSE_MLE_smse_Tile_Async(MORSE_descZactual, MORSE_descZmiss, MORSE_descmse, msequence, mrequest); + EXAGEOSTAT_MLE_smse_Tile_Async(CHAM_descZactual, CHAM_descZmiss, CHAM_descmse, msequence, mrequest); VERBOSE(" Done.\n"); STOP_TIMING(time_mse); data->mserror /= nZmiss; - } - else + } else data->mserror = -1; #if defined(CHAMELEON_USE_MPI) - if(MORSE_My_Mpi_Rank() == 0) + if(CHAMELEON_My_Mpi_Rank() == 0) { #endif - if(data->log == 1) - fprintf(data->pFileLog, "\n\n# of missing observations :%d\n\nPrediction Execution Time: %.8f, Flops: %.8f, Mean Square Error (MSE): %.8f\n\n", nZmiss, (mat_gen_time+time_solve+time_mse), (flops / 1e9 / (time_solve)), data->mserror ); + if (data->log == 1) + fprintf(data->pFileLog, + "\n\n# of missing observations :%d\n\nPrediction Execution Time: %.8f, Flops: %.8f, Mean Square Error (MSE): %.8f\n\n", + nZmiss, (mat_gen_time + time_solve + time_mse), (flops / 1e9 / (time_solve)), data->mserror); - write_prediction_result("predict_result.dat", n, data->hicma_acc, 0, 0, data->mserror, (mat_gen_time+time_solve+ time_gemm), (flops / 1e9 / (time_solve))); + write_prediction_result("predict_result.dat", n, data->hicma_acc, 0, 0, 0, data->mserror, + (mat_gen_time + time_solve + time_gemm), (flops / 1e9 / (time_solve))); #if defined(CHAMELEON_USE_MPI) } #endif - return data->mserror; - } - - //init Chameleon descriptors -void MORSE_sdmle_Call(MLE_data *data, int ncores,int gpus, int dts, int p_grid, int q_grid, int N, int nZobs, int nZmiss) - //! //Initiate MORSE and allocate different descriptors for - /*! CHAMELEON - * Returns MLE_data data with initial values and new descriptors locations. - * @param[in] data: MLE_data struct with different MLE inputs. - * @param[in] ncores: number of CPU workers. - * @param[in] gpus: number of GPU workers. - * @param[in] dts: tile size (MB). - * @param[in] p_grid: p_grid. - * @param[in] q_grid: q_grid. - * @param[in] N: number of spatial locations. - * @param[in] nZmiss: number of missing values (unknown observations). - * @param[in] nZobs: number of observed values (known observations). - * */ +void EXAGEOSTAT_sdmle_Call(MLE_data *data, int ncores, int gpus, int dts, int p_grid, int q_grid, int N, int nZobs, + int nZmiss) +//! //Initiate CHAM and allocate different descriptors for +/*! CHAMELEON + * Returns MLE_data data with initial values and new descriptors locations. + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] ncores: number of CPU workers. + * @param[in] gpus: number of GPU workers. + * @param[in] dts: tile size (MB). + * @param[in] p_grid: p_grid. + * @param[in] q_grid: q_grid. + * @param[in] N: number of spatial locations. + * @param[in] nZmiss: number of missing values (unknown observations). + * @param[in] nZobs: number of observed values (known observations). + * */ { - MORSE_sequence_t *msequence; - MORSE_request_t mrequest[2] = { MORSE_REQUEST_INITIALIZER, MORSE_REQUEST_INITIALIZER }; - MORSE_desc_t *MORSE_descC = NULL; - MORSE_desc_t *MORSE_descZ = NULL; - MORSE_desc_t *MORSE_descZcpy = NULL; - MORSE_desc_t *MORSE_descproduct = NULL; - MORSE_desc_t *MORSE_descdet = NULL; - MORSE_desc_t *MORSE_desctemp = NULL; - //MORSE_desc_t *MORSE_descZmiss = NULL; - //MORSE_desc_t *MORSE_descC12 = NULL; - //MORSE_desc_t *MORSE_descC22 = NULL; - //MORSE_desc_t *MORSE_descmse = NULL; - //MORSE_desc_t *MORSE_descZactual = NULL; - //MORSE_desc_t *MORSE_descZobs = NULL; - - + RUNTIME_sequence_t *msequence; + RUNTIME_request_t mrequest[2] = {CHAMELEON_SUCCESS, CHAMELEON_SUCCESS}; + CHAM_desc_t *CHAM_descC = NULL; + CHAM_desc_t *CHAM_descZ = NULL; + CHAM_desc_t *CHAM_descZcpy = NULL; + CHAM_desc_t *CHAM_descproduct = NULL; + CHAM_desc_t *CHAM_descdet = NULL; + CHAM_desc_t *CHAM_desctemp = NULL; // For ditributed system and should be removed - double *Zcpy = (double *) malloc(N * sizeof(double)); + double*Zcpy = (double*) malloc(N * sizeof(double)); //Identifies a set of routines sharing common exception handling. - MORSE_Sequence_Create(&msequence); - EXAGEOSTAT_ALLOCATE_FULL_MATRIX_TILE(&MORSE_descC,NULL , MorseRealDouble, dts, dts, dts * dts, N, N, 0, 0, N, N, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZ, NULL, MorseRealDouble, dts, dts, dts * dts, N, 1, 0, 0, N, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZcpy, Zcpy, MorseRealDouble, dts, dts, dts * dts, N, 1, 0, 0, N, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descproduct, &data->dotp, MorseRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, p_grid, q_grid); - EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descdet, &data->det, MorseRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, p_grid, q_grid); + CHAMELEON_Sequence_Create(&msequence); + EXAGEOSTAT_ALLOCATE_FULL_MATRIX_TILE(&CHAM_descC, NULL, ChamRealDouble, dts, dts, dts * dts, N, N, 0, 0, N, N, + p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descZ, NULL, ChamRealDouble, dts, dts, dts * dts, N, 1, 0, 0, N, 1, p_grid, + q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descZcpy, Zcpy, ChamRealDouble, dts, dts, dts * dts, N, 1, 0, 0, N, 1, p_grid, + q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descproduct, &data->dotp, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, + 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descdet, &data->det, ChamRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, + p_grid, q_grid); //Only for mixed precision to perform Cholesky factorization. - EXAGEOSTAT_ALLOCATE_DIAG_MATRIX_TILE(&MORSE_desctemp, NULL, MorseRealFloat, dts, dts, dts * dts, N, dts, 0, 0, N, dts, p_grid, q_grid); - //if(nZmis != 0) - //{ - // if(strcmp(data->actualZFPath,"")==0) - // { - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZobs, &Zcpy[nZmiss], MorseRealDouble, dts, dts, dts * dts, nZobs, 1, 0, 0, nZobs, 1, p_grid, q_grid); - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZactual, Zcpy, MorseRealDouble, dts, dts, dts * dts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - // } - // else - // { - // MORSE_descZobs = MORSE_descZcpy; - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZactual, NULL, MorseRealDouble, dts, dts, dts * dts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - // } - - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descZmiss, NULL, MorseRealDouble, dts, dts, dts * dts, nZmiss, 1, 0, 0, nZmiss, 1, p_grid, q_grid); - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC12, NULL, MorseRealDouble, dts, dts, dts * dts, nZmiss, nZobs, 0, 0, nZmiss, nZobs, p_grid, q_grid); - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descC22, NULL, MorseRealDouble, dts, dts, dts * dts, nZobs, nZobs, 0, 0, nZobs, nZobs, p_grid, q_grid); - // EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&MORSE_descmse, &data->mserror, MorseRealDouble, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, p_grid, q_grid); - // } + EXAGEOSTAT_ALLOCATE_DIAG_MATRIX_TILE(&CHAM_desctemp, NULL, ChamRealFloat, dts, dts, dts * dts, N, dts, 0, 0, N, dts, + p_grid, q_grid); + //Fill data struct - data->descC = MORSE_descC; - data->descZ = MORSE_descZ; - data->descZcpy = MORSE_descZcpy; - data->descdet = MORSE_descdet; - data->descproduct = MORSE_descproduct; - data->desctemp = MORSE_desctemp; - //data->descZmiss = MORSE_descZmiss; - //data->descC12 = MORSE_descC12; - //data->descC22 = MORSE_descC22; - //data->descmse = MORSE_descmse; - //data->descZactual = MORSE_descZactual; - //data->descZobs = MORSE_descZobs; - data->sequence = msequence; - data->request = mrequest; + data->descC = CHAM_descC; + data->descZ = CHAM_descZ; + data->descZcpy = CHAM_descZcpy; + data->descdet = CHAM_descdet; + data->descproduct = CHAM_descproduct; + data->desctemp = CHAM_desctemp; + data->sequence = msequence; + data->request = mrequest; //stop gsl error handler - gsl_set_error_handler_off () ; -} - - + gsl_set_error_handler_off(); +} \ No newline at end of file diff --git a/exageostat_exact/src/compute/MLE_sexact.c b/exageostat_exact/src/compute/MLE_sexact.c new file mode 100644 index 0000000..b8745d7 --- /dev/null +++ b/exageostat_exact/src/compute/MLE_sexact.c @@ -0,0 +1,744 @@ +/** + * + * Copyright (c) 2017-2023, King Abdullah University of Science and Technology + * All rights reserved. + * + * ExaGeoStat is a software package provided by KAUST + **/ +/** + * + * @file MLE_exact.c + * + * ExaGeoStat exact computation main functions (i.e., generate synthetic dataset, evaluate ML function, and predication). + * + * @version 1.2.0 + * + * @author Sameh Abdulah + * @date 2020-01-19 + * + **/ +#include "../include/MLE_exact_s.h" + +//*************************************************************************************** +void EXAGEOSTAT_MLE_szvg_Tile(MLE_data *data, float *Nrand, double*initial_theta, int n, int dts, int log) +//! Generate Observations Vector (Z) for testing Maximum +/*! Likelihood function -- CHAM-sync + * Returns Z observation vector + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] Nrand: A uniform random vector with size n that is used to generate Z . + * @param[in] initial_theta: Theta vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] n: Problem size (number spatial locations). + * @param[in] dts: tile size (MB) is used only in the case of HiCMA not CHAM. + * @param[in] test: if 0 -> real data mode, 1 ->test data mode. + * @param[in] log: equals one if the user needs to generate log files for his problem. + * */ +{ + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + + //Generate the co-variance matrix C + VERBOSE("Initializing Covariance Matrix (Synthetic Dataset Generation Phase - single precision) ....."); + //EXAGEOSTAT_MLE_scmg_Tile_Async(ChamLower, data->descC, msequence, mrequest, &data->l1, &data->l1, initial_theta, data->dm); + EXAGEOSTAT_MLE_scmg_Tile_Async(ChamLower, data->descC, &data->l1, &data->l1, &data->lm, initial_theta, data->dm, + data->kernel_fun, msequence, mrequest); + VERBOSE(" Done.\n"); + + //Copy Nrand to Z + VERBOSE("Generate Normal Random Distribution Vector Z (Synthetic Dataset Generation Phase - single precision) ....."); + EXAGEOSTAT_MLE_szcpy_Tile_Async(data->descZ, Nrand, msequence, mrequest); + VERBOSE(" Done.\n"); + + //Cholesky factorization for the Co-variance matrix C + VERBOSE("Cholesky factorization of Sigma (Synthetic Dataset Generation Phase - single precision) ....."); + int success = CHAMELEON_spotrf_Tile(ChamLower, data->descC); + SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); + VERBOSE(" Done.\n"); + + //Triangular matrix-matrix multiplication + VERBOSE("Triangular matrix-matrix multiplication Z=L.e (Synthetic Dataset Generation Phase - single precision) ....."); + CHAMELEON_strmm_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, data->descC, data->descZ); + VERBOSE(" Done.\n"); + + //if log==1 write vector to disk + if (log == 1) { + double*z; + CHAM_desc_t *CHAM_descZ = (CHAM_desc_t *) (data->descZ); +#if defined(CHAMELEON_USE_MPI) + z = (double*) malloc(n * sizeof(double)); + CHAMELEON_Tile_to_Lapack( CHAM_descZ, z, n); +#else + z = CHAM_descZ->mat; +#endif + write_vectors(z, data, n); +#if defined(CHAMELEON_USE_MPI) + free(z); +#endif + } + + CHAMELEON_slaset_Tile(ChamUpperLower, 0, 0, data->descC); + VERBOSE("Done Z Vector Generation Phase. (Chameleon Synchronous - single precision)\n"); + VERBOSE("************************************************************\n"); +} + +void EXAGEOSTAT_MLE_szcpy(MLE_data *data, double*streamdata) { + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + VERBOSE("Copy Z from vector to decriptor.\n"); + EXAGEOSTAT_MLE_szcpy_Tile_Async(data->descZ, streamdata, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); + VERBOSE("Done Z copying step.\n"); + VERBOSE("************************************************************\n"); +} + +void EXAGEOSTAT_MLE_szvg_Tile_Async(MLE_data *data, float *Nrand, double*initial_theta, int n, int dts, int log) +//! Generate Observations Vector (Z) for testing Maximum +/*! Likelihood function -- CHAM-Async + * Returns Z observation vector + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] Nrand: A uniform random vector with size n that is used to generate Z . + * @param[in] initial_theta: Theta vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] n: Problem size (number spatial locations). + * @param[in] dts: tile size (MB) is used only in the case of HiCMA not CHAM. + * @param[in] test: if 0 -> real data mode, 1 ->test data mode. + * @param[in] log: equals one if the user needs to generate log files for his problem. + * */ +{ + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + + //Generate the co-variance matrix C + VERBOSE("Initializing Covariance Matrix (Synthetic Dataset Generation Phase - single precision)....."); + EXAGEOSTAT_MLE_scmg_Tile_Async(ChamLower, data->descC, &data->l1, &data->l1, &data->lm, initial_theta, data->dm, + data->kernel_fun, msequence, mrequest); + VERBOSE(" Done.\n"); + + //Copy Nrand to Z + VERBOSE("Generate Normal Random Distribution Vector Z (Synthetic Dataset Generation Phase - single precision) ....."); + EXAGEOSTAT_MLE_szcpy_Tile_Async(data->descZ, Nrand, msequence, mrequest); + VERBOSE(" Done.\n"); + + //Cholesky factorization for the Co-variance matrix C + VERBOSE("Cholesky factorization of Sigma (Synthetic Dataset Generation Phase - single precision) ....."); + int success = CHAMELEON_spotrf_Tile_Async(ChamLower, data->descC, msequence, mrequest); + SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); + VERBOSE(" Done.\n"); + + //Triangular matrix-matrix multiplication + VERBOSE("Triangular matrix-matrix multiplication Z=L.e (Synthetic Dataset Generation Phase - single precision) ....."); + CHAMELEON_strmm_Tile_Async(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, data->descC, data->descZ, msequence, + mrequest); + VERBOSE(" Done.\n"); + + //if log == 1 write vector to disk + if (log == 1) { + double*z; + CHAM_desc_t *CHAM_descZ = (CHAM_desc_t *) (data->descZ); +#if defined(CHAMELEON_USE_MPI) + z = (double*) malloc(n * sizeof(double)); + CHAMELEON_Tile_to_Lapack( CHAM_descZ, z, n); +#else + z = CHAM_descZ->mat; +#endif + write_vectors(z, data, n); + +#if defined(CHAMELEON_USE_MPI) + free(z); +#endif + } + + VERBOSE("Done Z Vector Generation Phase. (Chameleon Asynchronous - single precision)\n"); + VERBOSE("************************************************************\n"); +} + +double EXAGEOSTAT_smle_Tile(unsigned n, const double*theta, double*grad, void *CHAM_data) { + //! Maximum Likelihood Evaluation (MLE) + /*! -- CHAM-sync-single precision. + * Returns the loglikelihhod value for the given theta. + * @param[in] n: unsigned variable used by NLOPT library. + * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] grad: double variable used by NLOPT library. + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. + * */ + //Initialization + double loglik = 0.0, logdet = 0.0, time_facto = 0.0, time_solve = 0.0, logdet_calculate = 0.0, matrix_gen_time = 0.0, zcpy_time = 0.0; + int N, NRHS, success; + double flops = 0.0; + + MLE_data *data = ((MLE_data *) CHAM_data); + data->det = 0; + data->dotp = 0; + + CHAM_desc_t *CHAM_descC = (CHAM_desc_t *) data->descC; + CHAM_desc_t *CHAM_descZ = (CHAM_desc_t *) data->descZ; + CHAM_desc_t *CHAM_descZcpy = (CHAM_desc_t *) data->descZcpy; + CHAM_desc_t *CHAM_descdet = (CHAM_desc_t *) data->descdet; + CHAM_desc_t *CHAM_descproduct = (CHAM_desc_t *) data->descproduct; + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + + N = CHAM_descC->m; + NRHS = CHAM_descZ->n; + START_TIMING(zcpy_time); + if (data->iter_count == 0) { + //Save a copy of descZ into descZcpy for restoring each iteration (Only for the first iteration) + CHAMELEON_slacpy_Tile(ChamUpperLower, CHAM_descZ, CHAM_descZcpy); + } else { + VERBOSE("Re-store the original Z vector..."); + CHAMELEON_slacpy_Tile(ChamUpperLower, CHAM_descZcpy, CHAM_descZ); + VERBOSE(" Done.\n"); + } + STOP_TIMING(zcpy_time); + + //Generate new co-variance matrix C based on new theta + VERBOSE("Generate New Covariance Matrix (single precision)..."); + START_TIMING(matrix_gen_time); + EXAGEOSTAT_MLE_scmg_Tile_Async(ChamLower, CHAM_descC, &data->l1, &data->l1, &data->lm, (double*) theta, data->dm, + data->kernel_fun, msequence, &mrequest[0]); + CHAMELEON_Sequence_Wait(msequence); + STOP_TIMING(matrix_gen_time); + VERBOSE(" Done.\n"); + + //Calculate Cholesky Factorization (C=LL-1) + VERBOSE("Cholesky factorization of Sigma (single precision)..."); + START_TIMING(time_facto); + success = CHAMELEON_spotrf_Tile(ChamLower, CHAM_descC); + STOP_TIMING(time_facto); + SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); + flops = flops + FLOPS_SPOTRF(N); + VERBOSE(" Done.\n"); + + //Calculate log(|C|) --> log(square(|L|)) + VERBOSE("Calculating the log determinant (single precision) ..."); + START_TIMING(logdet_calculate); + EXAGEOSTAT_MLE_smdet_Tile_Async(CHAM_descC, msequence, &mrequest[0], CHAM_descdet); + CHAMELEON_Sequence_Wait(msequence); + logdet = 2 * (float) data->det; + STOP_TIMING(logdet_calculate); + VERBOSE(" Done.\n"); + + //Solving Linear System (L*X=Z)--->inv(L)*Z + VERBOSE("Solving the linear system (single precision)...\n"); + START_TIMING(time_solve); + CHAMELEON_strsm_Tile(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAM_descC, CHAM_descZ); + STOP_TIMING(time_solve); + flops = flops + FLOPS_STRSM(ChamLeft, N, NRHS); + VERBOSE(" Done.\n"); + + + //Calculate MLE likelihood + VERBOSE("Calculating the MLE likelihood function (single precision) ..."); + + CHAMELEON_sgemm_Tile(ChamTrans, ChamNoTrans, 1, CHAM_descZ, CHAM_descZ, 0, CHAM_descproduct); + + loglik = -0.5 * data->dotp - 0.5 * logdet - (double) (N / 2.0) * log(2.0 * PI); + data->variance = theta[0]; + + //Distribute the values in the case of MPI +#if defined(CHAMELEON_USE_MPI) + MPI_Bcast(&loglik,1, MPI_DOUBLE, 0, MPI_COMM_WORLD ); + MPI_Bcast(theta,3, MPI_DOUBLE, 0, MPI_COMM_WORLD ); + if(CHAMELEON_My_Mpi_Rank() == 0) + { +#endif + //Print Iteration Summary + fprintf(stderr, "\n------ddotproduct: %.17g ", data->sdotp); + fprintf(stderr, "\n------logdet: %.17g ", logdet); + //reformat + printf(" %3d- Model Parameters (variance, range, smoothness): (%2.6f, %2.6f, %2.6f) ----> LogLi: %.17g\n", + data->iter_count + 1, data->variance, theta[1], theta[2], loglik); + + if (data->log == 1) + fprintf(data->pFileLog, + " %3d- Model Parameters (variance, range, smoothness): (%2.6f, %2.6f, %2.6f) ----> LogLi: %.3g\n", + data->iter_count + 1, data->variance, theta[1], theta[2], loglik); + + printf(" ---- Facto Time: %6.2f\n", time_facto); + printf(" ---- logdet Time: %6.2f\n", logdet_calculate); + printf(" ---- dtrsm Time: %6.2f\n", time_solve); + printf(" ---- Matrix Generation Time: %6.2f\n", matrix_gen_time); + printf(" ---- Total Time: %6.2f\n", matrix_gen_time + time_facto + logdet_calculate + time_solve); + printf(" ---- Gflop/s: %6.2f\n", flops / 1e9 / (time_facto + time_solve)); +#if defined(CHAMELEON_USE_MPI) + } +#endif + + data->iter_count++; + // for experiments + data->avg_exec_time_per_iter +=/*matrix_gen_time*/+time_facto + logdet_calculate + time_solve; + data->avg_flops_per_iter += flops / 1e9 / (time_facto + time_solve); + data->final_loglik = loglik; + + //output + results.final_loglik = loglik; + return loglik; +} + +double EXAGEOSTAT_smle_Tile_Async(unsigned n, const double*theta, double*grad, void *CHAM_data) { + //! Maximum Likelihood Evaluation (MLE) + /*! -- CHAM-Async + * Returns the loglikelihhod value for the given theta. + * @param[in] n: unsigned variable used by NLOPT library. + * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] grad: double variable used by NLOPT library. + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. + * */ + //Initialization + double loglik = 0.0, logdet = 0.0, time_facto = 0.0, time_solve = 0.0, logdet_calculate = 0.0, matrix_gen_time = 0.0, zcpy_time = 0.0, flops = 0.0; + int N, NRHS, success; + + MLE_data *data = ((MLE_data *) CHAM_data); + data->det = 0; + data->dotp = 0; + + CHAM_desc_t *CHAM_descC = (CHAM_desc_t *) data->descC; + CHAM_desc_t *CHAM_descZ = (CHAM_desc_t *) data->descZ; + CHAM_desc_t *CHAM_descZcpy = (CHAM_desc_t *) data->descZcpy; + CHAM_desc_t *CHAM_descdet = (CHAM_desc_t *) data->descdet; + CHAM_desc_t *CHAM_descproduct = (CHAM_desc_t *) data->descproduct; + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + + N = CHAM_descC->m; + NRHS = CHAM_descZ->n; + START_TIMING(zcpy_time); + if (data->iter_count == 0) + //Save a copy of descZ into descZcpy for restoring each iteration (Only for the first iteration) + CHAMELEON_slacpy_Tile_Async(ChamUpperLower, CHAM_descZ, CHAM_descZcpy, msequence, mrequest); + else { + VERBOSE("re-store the original Z vector (single precision)..."); + CHAMELEON_slacpy_Tile_Async(ChamUpperLower, CHAM_descZcpy, CHAM_descZ, msequence, mrequest); + VERBOSE(" Done.\n"); + } + STOP_TIMING(zcpy_time); + + //Generate new co-variance matrix C based on new theta + VERBOSE("Generate New Covariance Matrix (single precision)..."); + START_TIMING(matrix_gen_time); + //EXAGEOSTAT_MLE_scmg_Tile_Async(ChamLower, CHAM_descC, msequence, mrequest, &data->l1, &data->l1, (double*) theta, data->dm); + EXAGEOSTAT_MLE_scmg_Tile_Async(ChamLower, CHAM_descC, &data->l1, &data->l1, &data->lm, (double*) theta, data->dm, + data->kernel_fun, msequence, &mrequest[0]); + CHAMELEON_Sequence_Wait(msequence); + STOP_TIMING(matrix_gen_time); + VERBOSE(" Done.\n"); + + //Calculate Cholesky Factorization (C=LL-1) + VERBOSE("Cholesky factorization of Sigma (single precision)..."); + START_TIMING(time_facto); + success = CHAMELEON_spotrf_Tile_Async(ChamLower, CHAM_descC, msequence, mrequest); + STOP_TIMING(time_facto); + SUCCESS(success, "Factorization cannot be performed..\n The matrix is not positive definite\n\n"); + flops = flops + FLOPS_SPOTRF(N); + VERBOSE(" Done.\n"); + + //Calculate log(|C|) --> log(square(|L|)) + VERBOSE("Calculating the log determinant (single precision) ..."); + START_TIMING(logdet_calculate); + EXAGEOSTAT_MLE_smdet_Tile_Async(CHAM_descC, msequence, &mrequest[0], CHAM_descdet); + CHAMELEON_Sequence_Wait(msequence); + logdet = 2 * data->det; + STOP_TIMING(logdet_calculate); + VERBOSE(" Done.\n"); + + //Solving Linear System (L*X=Z)--->inv(L)*Z + VERBOSE("Solving the linear system (single precision) ...\n"); + START_TIMING(time_solve); + CHAMELEON_strsm_Tile_Async(ChamLeft, ChamLower, ChamNoTrans, ChamNonUnit, 1, CHAM_descC, CHAM_descZ, msequence, + mrequest); + STOP_TIMING(time_solve); + flops = flops + FLOPS_STRSM(ChamLeft, N, NRHS); + VERBOSE(" Done.\n"); + + //Claculate MLE likelihood + VERBOSE("Calculating the MLE likelihood function (single precision) ..."); + void *ws; + CHAMELEON_sgemm_Tile_Async(ChamTrans, ChamNoTrans, 1, CHAM_descZ, CHAM_descZ, 0, CHAM_descproduct, ws, msequence, + mrequest); + loglik = -0.5 * data->dotp - 0.5 * logdet - (double) (N / 2.0) * log(2.0 * PI); + VERBOSE(" Done.\n"); + + //Distribute the values in the case of MPI +#if defined(CHAMELEON_USE_MPI) + MPI_Bcast(&loglik,1, MPI_DOUBLE, 0, MPI_COMM_WORLD ); + MPI_Bcast(theta,3, MPI_DOUBLE, 0, MPI_COMM_WORLD ); + if(CHAMELEON_My_Mpi_Rank() == 0) + { +#endif + + //reformat + fprintf(stderr, " %3d- Model Parameters (variance, range, smoothness): (%2.6f, %2.6f, %2.6f) ----> LogLi: %2.6f\n", + data->iter_count + 1, theta[0], theta[1], theta[2], loglik); + + if (data->log == 1) + fprintf(data->pFileLog, + " %3d- Model Parameters (variance, range, smoothness): (%2.6f, %2.6f, %2.6f) ----> LogLi: %2.6f\n", + data->iter_count + 1, theta[0], theta[1], theta[2], loglik); + + fprintf(stderr, " ---- Facto Time: %6.2f\n", time_facto); + fprintf(stderr, " ---- logdet Time: %6.2f\n", logdet_calculate); + fprintf(stderr, " ---- dtrsm Time: %6.2f\n", time_solve); + fprintf(stderr, " ---- Matrix Generation Time: %6.2f\n", matrix_gen_time); + fprintf(stderr, " ---- Total Time: %6.2f\n", matrix_gen_time + time_facto + logdet_calculate + time_solve); + fprintf(stderr, " ---- Gflop/s: %6.2f\n", flops / 1e9 / (time_facto + time_solve)); +#if defined(CHAMELEON_USE_MPI) + } +#endif + + data->iter_count++; + // for experiments + data->avg_exec_time_per_iter += matrix_gen_time + time_facto + logdet_calculate + time_solve; + data->avg_flops_per_iter += flops / 1e9 / (time_facto + time_solve); + data->final_loglik = loglik; + + return loglik; +} + +void EXAGEOSTAT_smle_Predict_Allocate(MLE_data *CHAM_data, int nZmiss, int nZobs, int dts, int p_grid, int q_grid, + int mse_flag) { + + CHAM_desc_t *CHAM_descZmiss = NULL; + CHAM_desc_t *CHAM_descC12 = NULL; + CHAM_desc_t *CHAM_descC22 = NULL; + CHAM_desc_t *CHAM_descmse = NULL; + CHAM_desc_t *CHAM_descZactual = NULL; + CHAM_desc_t *CHAM_descZobs = NULL; + MLE_data *data = (MLE_data *) CHAM_data; + + if (nZmiss <= 0) { + fprintf(stderr, " Number of missing values should be positive value\n"); + return; + } + //Descriptors Creation + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descZobs, NULL, ChamRealFloat, dts, dts, dts * dts, nZobs, 1, 0, 0, nZobs, 1, + p_grid, q_grid); + if (mse_flag == 1) { + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descZactual, NULL, ChamRealFloat, dts, dts, dts * dts, nZmiss, 1, 0, 0, + nZmiss, 1, p_grid, q_grid); + + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descmse, &data->mserror, ChamRealFloat, dts, dts, dts * dts, 1, 1, 0, 0, + 1, 1, p_grid, q_grid); + } + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descZmiss, NULL, ChamRealFloat, dts, dts, dts * dts, nZmiss, 1, 0, 0, nZmiss, + 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descC12, NULL, ChamRealFloat, dts, dts, dts * dts, nZmiss, nZobs, 0, 0, + nZmiss, nZobs, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descC22, NULL, ChamRealFloat, dts, dts, dts * dts, nZobs, nZobs, 0, 0, nZobs, + nZobs, p_grid, q_grid); + + //Initiate data descriptors + data->descZmiss = CHAM_descZmiss; + data->descC12 = CHAM_descC12; + data->descC22 = CHAM_descC22; + data->descmse = CHAM_descmse; + data->descZactual = CHAM_descZactual; + data->descZobs = CHAM_descZobs; +} + + +double +EXAGEOSTAT_smle_Predict_Tile(MLE_data *CHAM_data, double*theta, int nZmiss, int nZobs, double*Zobs, double*Zactual, + double*Zmiss, int n) +//! //Predict missing values base on a set of given values and covariance matrix +/*! -- CHAM-sync + * Returns the prediction Mean Square Error (MSE) as double + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. + * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] nZmiss: number of missing values (unknown observations). + * @param[in] nZobs: number of observed values (known observations). + * @param[in] n: number of spatial locations. + * */ +{ + + //initialization + double time_solve = 0.0; + double mat_gen_time = 0.0; + double time_gemm = 0.0; + double time_mse = 0.0; + double flops = 0.0; + + CHAM_desc_t *CHAM_descZmiss = NULL; + CHAM_desc_t *CHAM_descC12 = NULL; + CHAM_desc_t *CHAM_descC22 = NULL; + CHAM_desc_t *CHAM_descmse = NULL; + CHAM_desc_t *CHAM_descZactual = NULL; + CHAM_desc_t *CHAM_descZobs = NULL; + MLE_data *data = (MLE_data *) CHAM_data; + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + data->mserror = 0; + + if (nZmiss <= 0) { + fprintf(stderr, " Number of missing values should be positive value\n"); + return -1; + } + + //Initiate data descriptors + CHAM_descZmiss = data->descZmiss; + CHAM_descC12 = data->descC12; + CHAM_descC22 = data->descC22; + CHAM_descmse = data->descmse; + CHAM_descZactual = data->descZactual; + CHAM_descZobs = data->descZobs; + +#if defined(CHAMELEON_USE_MPI) + MPI_Bcast(&data->variance,1, MPI_DOUBLE, 0, MPI_COMM_WORLD ); +#endif + theta[0] = data->variance; + + printf("estimated parameters: %f - %f - %f\n", theta[0], theta[1], theta[2]); + //Copy data to vectors + VERBOSE("Copy measurments vector to descZobs descriptor..."); + CHAMELEON_Lapack_to_Tile(Zobs, nZobs, CHAM_descZobs); + VERBOSE(" Done.\n"); + + if (Zactual != NULL) { + VERBOSE("Copy actual measurments vector to descZactual descriptor..."); + //EXAGEOSTAT_MLE_szcpy_Tile_Async(CHAM_descZactual, Zactual, msequence, mrequest); + CHAMELEON_Lapack_to_Tile(Zactual, nZmiss, CHAM_descZactual); + VERBOSE(" Done.\n"); + } + + CHAMELEON_Sequence_Wait(msequence); + + START_TIMING(mat_gen_time); + //Generate C22 covariance matrix + VERBOSE("Generate C22 Covariance Matrix... (Prediction Stage - single precision)"); + EXAGEOSTAT_MLE_scmg_Tile_Async(ChamLower, CHAM_descC22, &data->lobs, &data->lobs, &data->lm, theta, data->dm, + data->kernel_fun, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); + VERBOSE(" Done.\n"); + + //Generate C12 covariance matrix + VERBOSE("Generate C12 Covariance Matrix... (Prediction Stage - single precision)"); + //EXAGEOSTAT_MLE_scmg_Tile_Async(ChamLower, CHAM_descC12, msequence, mrequest, &data->lmiss, &data->lobs, theta, data->dm); + EXAGEOSTAT_MLE_dcmg_Tile_Async(ChamLower, CHAM_descC12, &data->lmiss, &data->lobs, &data->lm, theta, data->dm, + data->kernel_fun, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); + //flops = flops + FLOPS_DPOTRF(nZmiss); + VERBOSE(" Done.\n"); + STOP_TIMING(mat_gen_time); + + START_TIMING(time_solve); + //Start prediction + VERBOSE("Calculate dposv C22 Covariance Matrix... (Prediction Stage - single precision)"); + CHAMELEON_sposv_Tile(ChamLower, CHAM_descC22, CHAM_descZobs); + flops = flops + FLOPS_SPOTRF(nZobs); + flops = flops + FLOPS_STRSM(ChamLeft, nZobs, nZobs); + VERBOSE(" Done.\n"); + STOP_TIMING(time_solve); + + START_TIMING(time_gemm); + VERBOSE("Calculate dgemm Zmiss= C12 * Zobs Covariance Matrix... (Prediction Stage - single precision)"); + CHAMELEON_sgemm_Tile(ChamNoTrans, ChamNoTrans, 1, CHAM_descC12, CHAM_descZobs, 0, CHAM_descZmiss); + flops = flops + FLOPS_SGEMM(nZmiss, nZobs, nZobs); + VERBOSE(" Done.\n"); + STOP_TIMING(time_gemm); + + //return back descZmiss to zmiss vector + CHAMELEON_Tile_to_Lapack(CHAM_descZmiss, Zmiss, nZmiss); + //Estimate Mean Square Error + if (Zactual != NULL) { + START_TIMING(time_mse); + VERBOSE("Calculate Mean Square Error (MSE) ... (Prediction Stage) \n"); + EXAGEOSTAT_MLE_smse_Tile_Async(CHAM_descZactual, CHAM_descZmiss, CHAM_descmse, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); + VERBOSE(" Done.\n"); + STOP_TIMING(time_mse); + data->mserror /= nZmiss; + } else + data->mserror = -1; + +#if defined(CHAMELEON_USE_MPI) + if(CHAMELEON_My_Mpi_Rank() == 0) + { +#endif + if (data->log == 1) + fprintf(data->pFileLog, + "\n\n# of missing observations :%d\n\nPrediction Execution Time: %2.6f, Flops: %2.6f, Mean Square Error (MSE): %2.6f\n\n", + nZmiss, (mat_gen_time + time_solve + time_mse), (flops / 1e9 / (time_solve)), data->mserror); + + write_prediction_result("predict_result.dat", n, data->hicma_acc, 0, 0, 0, data->mserror, + (mat_gen_time + time_solve + time_gemm), (flops / 1e9 / (time_solve))); + +#if defined(CHAMELEON_USE_MPI) + } +#endif + return data->mserror; +} + +double EXAGEOSTAT_smle_Predict_Tile_Async(MLE_data *CHAM_data, double*theta, int nZmiss, int nZobs, double*Zobs, + double*Zactual, double*Zmiss, int n) +//! //Predict missing values base on a set of given values and covariance matrix +/*! -- CHAM-Async + * Returns the prediction Mean Square Error (MSE) as double + * @param[in] CHAM_data: MLE_data struct with different MLE inputs. + * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] nZmiss: number of missing values (unknown observations). + * @param[in] nZobs: number of observed values (known observations). + * @param[in] n: number of spatial locations. + * */ +{ + + //initialization + double time_solve = 0.0; + double mat_gen_time = 0.0; + double time_gemm = 0.0; + double time_mse = 0.0; + double flops = 0.0; + + CHAM_desc_t *CHAM_descZmiss = NULL; + CHAM_desc_t *CHAM_descC12 = NULL; + CHAM_desc_t *CHAM_descC22 = NULL; + CHAM_desc_t *CHAM_descmse = NULL; + CHAM_desc_t *CHAM_descZactual = NULL; + CHAM_desc_t *CHAM_descZobs = NULL; + MLE_data *data = (MLE_data *) CHAM_data; + RUNTIME_sequence_t *msequence = (RUNTIME_sequence_t *) data->sequence; + RUNTIME_request_t *mrequest = (RUNTIME_request_t *) data->request; + data->mserror = 0; + + if (nZmiss <= 0) { + fprintf(stderr, " Number of missing values should be positive value\n"); + return -1; + } + + //Initiate data descriptors. + CHAM_descZmiss = data->descZmiss; + CHAM_descC12 = data->descC12; + CHAM_descC22 = data->descC22; + CHAM_descmse = data->descmse; + CHAM_descZactual = data->descZactual; + CHAM_descZobs = data->descZobs; + + //Copy data to vectors. + VERBOSE("Copy measurments vector to descZobs descriptor (single precision)..."); + //CHAMELEON_Lapack_to_Tile_Async( Zobs, nZobs, CHAM_descZobs, msequence, mrequest); + VERBOSE(" Done.\n"); + + if (Zactual != NULL) { + VERBOSE("Copy actual measurments vector to descZactual descriptor (single precision)..."); + VERBOSE(" Done.\n"); + } + + + START_TIMING(mat_gen_time); + //Generate C22 covariance matrix. + VERBOSE("Generate C22 Covariance Matrix... (Prediction Stage - single precision)"); + EXAGEOSTAT_MLE_scmg_Tile_Async(ChamLower, CHAM_descC22, &data->lobs, &data->lobs, &data->lm, theta, data->dm, + data->kernel_fun, msequence, mrequest); + VERBOSE(" Done.\n"); + + //Generate C12 covariance matrix. + VERBOSE("Generate C12 Covariance Matrix... (Prediction Stage - single precision)"); + EXAGEOSTAT_MLE_scmg_Tile_Async(ChamLower, CHAM_descC12, &data->lmiss, &data->lobs, &data->lm, theta, data->dm, + data->kernel_fun, msequence, mrequest); + CHAMELEON_Sequence_Wait(msequence); + VERBOSE(" Done.\n"); + STOP_TIMING(mat_gen_time); + + START_TIMING(time_solve); + //Start prediction. + VERBOSE("Calculate dposv C22 Covariance Matrix... (Prediction Stage - single precision)"); + CHAMELEON_sposv_Tile_Async(ChamLower, CHAM_descC22, CHAM_descZobs, msequence, mrequest); + flops = flops + FLOPS_SPOTRF(nZobs); + flops = flops + FLOPS_STRSM(ChamLeft, nZobs, nZobs); + VERBOSE(" Done.\n"); + STOP_TIMING(time_solve); + + START_TIMING(time_gemm); + VERBOSE("Calculate dgemm Zmiss= C12 * Zobs Covariance Matrix... (Prediction Stage - single precision)"); + void *ws; + CHAMELEON_sgemm_Tile_Async(ChamNoTrans, ChamNoTrans, 1, CHAM_descC12, CHAM_descZobs, 0, CHAM_descZmiss, ws, + msequence, mrequest); + flops = flops + FLOPS_SGEMM(nZmiss, nZobs, nZobs); + VERBOSE(" Done.\n"); + STOP_TIMING(time_gemm); + + //Estimate Mean Square Error + if (Zactual != NULL) { + START_TIMING(time_mse); + VERBOSE("Calculate Mean Square Error (MSE) ... (Prediction Stage - single precision) \n"); + EXAGEOSTAT_MLE_smse_Tile_Async(CHAM_descZactual, CHAM_descZmiss, CHAM_descmse, msequence, mrequest); + VERBOSE(" Done.\n"); + STOP_TIMING(time_mse); + data->mserror /= nZmiss; + } else + data->mserror = -1; + +#if defined(CHAMELEON_USE_MPI) + if(CHAMELEON_My_Mpi_Rank() == 0) + { +#endif + if (data->log == 1) + fprintf(data->pFileLog, + "\n\n# of missing observations :%d\n\nPrediction Execution Time: %2.6f, Flops: %2.6f, Mean Square Error (MSE): %2.6f\n\n", + nZmiss, (mat_gen_time + time_solve + time_mse), (flops / 1e9 / (time_solve)), data->mserror); + + write_prediction_result("predict_result.dat", n, data->hicma_acc, 0, 0, 0, data->mserror, + (mat_gen_time + time_solve + time_gemm), (flops / 1e9 / (time_solve))); +#if defined(CHAMELEON_USE_MPI) + } +#endif + + return data->mserror; +} + +//init Chameleon descriptors +void +EXAGEOSTAT_smle_Call(MLE_data *data, int ncores, int gpus, int dts, int p_grid, int q_grid, int N, int nZobs, int nZmiss) +//! //Initiate CHAM and allocate different descriptors for +/*! CHAMELEON + * Returns MLE_data data with initial values and new descriptors locations. + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] ncores: number of CPU workers. + * @param[in] gpus: number of GPU workers. + * @param[in] dts: tile size (MB). + * @param[in] p_grid: p_grid. + * @param[in] q_grid: q_grid. + * @param[in] N: number of spatial locations. + * @param[in] nZmiss: number of missing values (unknown observations). + * @param[in] nZobs: number of observed values (known observations). + * */ +{ + + RUNTIME_sequence_t *msequence; + RUNTIME_request_t mrequest[2] = {CHAMELEON_SUCCESS, CHAMELEON_SUCCESS}; + CHAM_desc_t *CHAM_descC = NULL; + CHAM_desc_t *CHAM_descZ = NULL; + CHAM_desc_t *CHAM_descZcpy = NULL; + CHAM_desc_t *CHAM_descproduct = NULL; + CHAM_desc_t *CHAM_descdet = NULL; + + // For ditributed system and should be removed + float *Zcpy = (float *) malloc(N * sizeof(float)); + + //Identifies a set of routines sharing common exception handling. + CHAMELEON_Sequence_Create(&msequence); + + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descC, NULL, ChamRealFloat, dts, dts, dts * dts, N, N, 0, 0, N, N, p_grid, + q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descZ, NULL, ChamRealFloat, dts, dts, dts * dts, N, 1, 0, 0, N, 1, p_grid, + q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descZcpy, Zcpy, ChamRealFloat, dts, dts, dts * dts, N, 1, 0, 0, N, 1, p_grid, + q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descproduct, &data->sdotp, ChamRealFloat, dts, dts, dts * dts, 1, 1, 0, 0, 1, + 1, p_grid, q_grid); + EXAGEOSTAT_ALLOCATE_MATRIX_TILE(&CHAM_descdet, &data->det, ChamRealFloat, dts, dts, dts * dts, 1, 1, 0, 0, 1, 1, + p_grid, q_grid); + + //Fill data struct + data->descC = CHAM_descC; + data->descZ = CHAM_descZ; + data->descZcpy = CHAM_descZcpy; + data->descdet = CHAM_descdet; + data->descproduct = CHAM_descproduct; + data->sequence = msequence; + data->request = mrequest; + //stop gsl error handler + gsl_set_error_handler_off(); +} \ No newline at end of file diff --git a/exageostat_exact/src/compute/psdportf.c b/exageostat_exact/src/compute/psdportf.c index 81f5f18..4dafa9b 100755 --- a/exageostat_exact/src/compute/psdportf.c +++ b/exageostat_exact/src/compute/psdportf.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020, King Abdullah University of Science and Technology + * Copyright (c) 2017-2023, King Abdullah University of Science and Technology * All rights reserved. * * @copyright (c) 2009-2014 The University of Tennessee and The University @@ -15,13 +15,13 @@ * * @file psdportf.c * - * MORSE auxiliary routines - * MORSE is a software package provided by Univ. of Tennessee, + * CHAMELEON auxiliary routines + * CHAMELEON is a software package provided by Univ. of Tennessee, * Univ. of California Berkeley and Univ. of Colorado Denver * - * @version 1.1.0 + * @version 1.2.0 * @comment This file has been automatically generated - * from Plasma 2.5.0 for MORSE 1.0.0 + * from Plasma 2.5.0 for CHAMELEON 1.0.0 * @author Sameh Abdulah * @author Jakub Kurzak * @author Hatem Ltaief @@ -34,230 +34,217 @@ * **/ #include "../include/mixed_prec.h" -#define A(m,n) A, m, n + +#define A(m, n) A, m, n #define temp(m) temp, m, 0 + /***************************************************************************//** * Parallel tile Cholesky factorization - dynamic scheduling **/ -void morse_psdpotrf(MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *temp, int diag_thick, - MORSE_sequence_t *sequence, MORSE_request_t *request) -{ - - MORSE_context_t *morse; - MORSE_option_t options; - - int i, k, m, n; - int lda0, ldai, ldak, ldam, ldan, ldtempk; - int tempi, tempkm, tempkn, tempmm, tempnn; - size_t ws_host = 0; - - double zone = (double) 1.0; - double mzone = (double)-1.0; - - morse = morse_context_self(); - if (sequence->status != MORSE_SUCCESS) - return; - RUNTIME_options_init(&options, morse, sequence, request); - - RUNTIME_options_ws_alloc( &options, 0, ws_host ); - - /* - * MorseLower - */ - if (uplo == MorseLower) { - //Convert double to single precision for the lower triangular matrix. - for (n = 0; n < A->nt; n++) - { - tempnn = n == A->nt-1 ? A->n - n*A->nb : A->nb; - ldan = BLKLDD(A, n); - for (m = n+diag_thick; m < A->mt ; m++) - { - - tempmm = m == A->mt-1 ? A->m - m*A->mb : A->mb; - ldam = BLKLDD(A, m); - MORSE_TASK_dsconv( - &options, - tempmm, tempnn, A->mb, - A(m, n), ldam, - A(n, m), ldan); - - } - - } - //********************************************** - for (k = 0; k < A->mt; k++) { - RUNTIME_iteration_push(morse, k); - - tempkm = k == A->mt-1 ? A->m-k*A->mb : A->mb; - tempkn = k == A->nt-1 ? A->n-k*A->nb : A->nb; - ldak = BLKLDD(A, k); - ldtempk = BLKLDD(temp, k); - - options.priority = 2*A->mt - 2*k; - MORSE_TASK_dpotrf( - &options, - MorseLower, tempkm, A->mb, - A(k, k), ldak, A->nb*k); - - MORSE_TASK_dsconv( - &options, - tempkm, tempkm, A->mb, - A(k, k), ldak, - temp(k), ldtempk); - - for (m = k+1; m < A->mt; m++) { - tempmm = m == A->mt-1 ? A->m-m*A->mb : A->mb; - ldam = BLKLDD(A, m); - - options.priority = 2*A->mt - 2*k - m; - if(abs(m-k) < diag_thick) - { - MORSE_TASK_dtrsm( - &options, - MorseRight, MorseLower, MorseTrans, MorseNonUnit, - tempmm, A->mb, A->mb, - zone, A(k, k), ldak, - A(m, k), ldam); - } - else - { - MORSE_TASK_sexageostat_trsm( - &options, - MorseLeft, MorseUpper, MorseTrans, MorseNonUnit, - A->mb, tempmm, A->mb, - zone, temp(k), ldak, - A(k, m), ldak); - - MORSE_TASK_sdconv( - &options, - tempkm, tempmm, A->mb, - A(k, m), ldak, - A(m, k), ldam); - - } - } - - RUNTIME_data_flush( sequence, A(k, k) ); - RUNTIME_data_flush( sequence, temp(k)); //helping in accuracy issue with MPI - for (n = k+1; n < A->nt; n++) { - tempnn = n == A->nt-1 ? A->n-n*A->nb : A->nb; - ldan = BLKLDD(A, n); - ldak = BLKLDD(A, k); - options.priority = 2*A->mt - 2*k - n; - - MORSE_TASK_dsyrk( - &options, - MorseLower, MorseNoTrans, - tempnn, A->nb, A->mb, - -1.0, A(n, k), ldan, - 1.0, A(n, n), ldan); - - if(abs(n-k) < diag_thick) - { - - MORSE_TASK_dsconv( - &options, - tempnn, tempkn, A->mb, - A(n, k), ldan, - A(k, n), ldak); - } - for (m = n+1; m < A->mt; m++) { - tempmm = m == A->mt-1 ? A->m - m*A->mb : A->mb; - ldam = BLKLDD(A, m); - - options.priority = 2*A->mt - 2*k - n - m; - - if(abs(m-n) < diag_thick) - { - MORSE_TASK_dgemm( - &options, - MorseNoTrans, MorseTrans, - tempmm, tempnn, A->mb, A->mb, - mzone, A(m, k), ldam, - A(n, k), ldan, - zone, A(m, n), ldam); - } - else - { - MORSE_TASK_sexageostat_gemm( - &options, - MorseTrans, MorseNoTrans, - tempnn, tempmm, A->mb, A->mb, - mzone, A(k, n), ldak, - A(k, m), ldak, - zone, A(n, m), ldan); - - } - - - } - RUNTIME_data_flush( sequence, A(n, k) ); - RUNTIME_data_flush( sequence, A(k, n) ); //fix pending problem with MPI - } - RUNTIME_iteration_pop(morse); - } - } - /* - * MorseUpper - */ - else { - for (k = 0; k < A->nt; k++) { - RUNTIME_iteration_push(morse, k); - - tempkm = k == A->nt-1 ? A->n-k*A->nb : A->nb; - ldak = BLKLDD(A, k); - - options.priority = 2*A->nt - 2*k; - MORSE_TASK_dpotrf( - &options, - MorseUpper, - tempkm, A->mb, - A(k, k), ldak, A->nb*k); - - for (n = k+1; n < A->nt; n++) { - tempnn = n == A->nt-1 ? A->n - n*A->nb : A->nb; - - options.priority = 2*A->nt - 2*k - n; - MORSE_TASK_dtrsm( - &options, - MorseLeft, MorseUpper, MorseTrans, MorseNonUnit, - A->mb, tempnn, A->mb, - zone, A(k, k), ldak, - A(k, n), ldak); - } - RUNTIME_data_flush( sequence, A(k, k) ); - - for (m = k+1; m < A->mt; m++) { - tempmm = m == A->mt-1 ? A->m - m*A->mb : A->mb; - ldam = BLKLDD(A, m); - - options.priority = 2*A->nt - 2*k - m; - MORSE_TASK_dsyrk( - &options, - MorseUpper, MorseTrans, - tempmm, A->mb, A->mb, - -1.0, A(k, m), ldak, - 1.0, A(m, m), ldam); - - for (n = m+1; n < A->nt; n++) { - tempnn = n == A->nt-1 ? A->n-n*A->nb : A->nb; - - options.priority = 2*A->nt - 2*k - n - m; - MORSE_TASK_dgemm( - &options, - MorseTrans, MorseNoTrans, - tempmm, tempnn, A->mb, A->mb, - mzone, A(k, m), ldak, - A(k, n), ldak, - zone, A(m, n), ldam); - } - RUNTIME_data_flush( sequence, A(k, m) ); - } - - RUNTIME_iteration_pop(morse); - } - } - - RUNTIME_options_ws_free(&options); - RUNTIME_options_finalize(&options, morse); -} +void chameleon_psdpotrf(CHAM_enum uplo, CHAM_desc_t *A, CHAM_desc_t *temp, int diag_thick, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request) { + + CHAM_context_t *chamctxt; + RUNTIME_option_t options; + + int k, m, n; + int ldak, ldam, ldan, ldtempk; + int tempkm, tempkn, tempmm, tempnn; + size_t ws_host = 0; + + double zone = (double) 1.0; + double mzone = (double) -1.0; + + chamctxt = chameleon_context_self(); + if (sequence->status != CHAMELEON_SUCCESS) + return; + RUNTIME_options_init(&options, chamctxt, sequence, request); + RUNTIME_options_ws_alloc(&options, 0, ws_host); + + /* + * ChamLower + */ + if (uplo == ChamLower) { + //Convert double to single precision for the lower triangular matrix. + for (n = 0; n < A->nt; n++) { + tempnn = n == A->nt - 1 ? A->n - n * A->nb : A->nb; + ldan = BLKLDD(A, n); + for (m = n + diag_thick; m < A->mt; m++) { + + tempmm = m == A->mt - 1 ? A->m - m * A->mb : A->mb; + ldam = BLKLDD(A, m); + EXAGEOSTAT_TASK_dsconv( + &options, + tempmm, tempnn, A->mb, + A(m, n), ldam, + A(n, m), ldan); + + } + } + //********************************************** + for (k = 0; k < A->mt; k++) { + RUNTIME_iteration_push(chamctxt, k); + + tempkm = k == A->mt - 1 ? A->m - k * A->mb : A->mb; + tempkn = k == A->nt - 1 ? A->n - k * A->nb : A->nb; + ldak = BLKLDD(A, k); + ldtempk = BLKLDD(temp, k); + + options.priority = 2 * A->mt - 2 * k; + INSERT_TASK_dpotrf( + &options, + ChamLower, tempkm, A->mb, + A(k, k), A->nb * k); + + EXAGEOSTAT_TASK_dsconv( + &options, + tempkm, tempkm, A->mb, + A(k, k), ldak, + temp(k), ldtempk); + + for (m = k + 1; m < A->mt; m++) { + tempmm = m == A->mt - 1 ? A->m - m * A->mb : A->mb; + ldam = BLKLDD(A, m); + + options.priority = 2 * A->mt - 2 * k - m; + if (abs(m - k) < diag_thick) { + INSERT_TASK_dtrsm( + &options, + ChamRight, ChamLower, ChamTrans, ChamNonUnit, + tempmm, A->mb, A->mb, + zone, A(k, k), + A(m, k)); + } else { + EXAGEOSTAT_TASK_sexageostat_trsm( + &options, + ChamLeft, ChamUpper, ChamTrans, ChamNonUnit, + A->mb, tempmm, A->mb, + zone, temp(k), ldak, + A(k, m), ldak); + + EXAGEOSTAT_TASK_sdconv( + &options, + tempkm, tempmm, A->mb, + A(k, m), ldak, + A(m, k), ldam); + + } + } + + RUNTIME_data_flush(sequence, A(k, k)); + RUNTIME_data_flush(sequence, temp(k)); //helping in accuracy issue with MPI + for (n = k + 1; n < A->nt; n++) { + tempnn = n == A->nt - 1 ? A->n - n * A->nb : A->nb; + ldan = BLKLDD(A, n); + ldak = BLKLDD(A, k); + options.priority = 2 * A->mt - 2 * k - n; + + INSERT_TASK_dsyrk( + &options, + ChamLower, ChamNoTrans, + tempnn, A->nb, A->mb, + -1.0, A(n, k), + 1.0, A(n, n)); + + if (abs(n - k) < diag_thick) { + + EXAGEOSTAT_TASK_dsconv( + &options, + tempnn, tempkn, A->mb, + A(n, k), ldan, + A(k, n), ldak); + } + for (m = n + 1; m < A->mt; m++) { + tempmm = m == A->mt - 1 ? A->m - m * A->mb : A->mb; + ldam = BLKLDD(A, m); + + options.priority = 2 * A->mt - 2 * k - n - m; + + if (abs(m - n) < diag_thick) { + INSERT_TASK_dgemm( + &options, + ChamNoTrans, ChamTrans, + tempmm, tempnn, A->mb, A->mb, + mzone, A(m, k), + A(n, k), + zone, A(m, n)); + } else { + EXAGEOSTAT_TASK_sexageostat_gemm( + &options, + ChamTrans, ChamNoTrans, + tempnn, tempmm, A->mb, A->mb, + mzone, A(k, n), ldak, + A(k, m), ldak, + zone, A(n, m), ldan); + + } + } + RUNTIME_data_flush(sequence, A(n, k)); + RUNTIME_data_flush(sequence, A(k, n)); //fix pending problem with MPI + } + RUNTIME_iteration_pop(chamctxt); + } + } + /* + * ChamUpper + */ + else { + for (k = 0; k < A->nt; k++) { + RUNTIME_iteration_push(chamctxt, k); + + tempkm = k == A->nt - 1 ? A->n - k * A->nb : A->nb; + ldak = BLKLDD(A, k); + + options.priority = 2 * A->nt - 2 * k; + INSERT_TASK_dpotrf( + &options, + ChamUpper, + tempkm, A->mb, + A(k, k), A->nb * k); + + for (n = k + 1; n < A->nt; n++) { + tempnn = n == A->nt - 1 ? A->n - n * A->nb : A->nb; + + options.priority = 2 * A->nt - 2 * k - n; + INSERT_TASK_dtrsm( + &options, + ChamLeft, ChamUpper, ChamTrans, ChamNonUnit, + A->mb, tempnn, A->mb, + zone, A(k, k), + A(k, n)); + } + RUNTIME_data_flush(sequence, A(k, k)); + + for (m = k + 1; m < A->mt; m++) { + tempmm = m == A->mt - 1 ? A->m - m * A->mb : A->mb; + ldam = BLKLDD(A, m); + + options.priority = 2 * A->nt - 2 * k - m; + INSERT_TASK_dsyrk( + &options, + ChamUpper, ChamTrans, + tempmm, A->mb, A->mb, + -1.0, A(k, m), + 1.0, A(m, m)); + + for (n = m + 1; n < A->nt; n++) { + tempnn = n == A->nt - 1 ? A->n - n * A->nb : A->nb; + + options.priority = 2 * A->nt - 2 * k - n - m; + INSERT_TASK_dgemm( + &options, + ChamTrans, ChamNoTrans, + tempmm, tempnn, A->mb, A->mb, + mzone, A(k, m), + A(k, n), + zone, A(m, n)); + } + RUNTIME_data_flush(sequence, A(k, m)); + } + + RUNTIME_iteration_pop(chamctxt); + } + } + RUNTIME_options_ws_free(&options); + RUNTIME_options_finalize(&options, chamctxt); +} \ No newline at end of file diff --git a/exageostat_exact/src/compute/sdpotrf.c b/exageostat_exact/src/compute/sdpotrf.c index 4ccb3f0..0fb131d 100755 --- a/exageostat_exact/src/compute/sdpotrf.c +++ b/exageostat_exact/src/compute/sdpotrf.c @@ -12,47 +12,52 @@ * * @file dpotrf.c * - * MORSE computational routines - * MORSE is a software package provided by Univ. of Tennessee, + * CHAMELEON computational routines + * CHAMELEON is a software package provided by Univ. of Tennessee, * Univ. of California Berkeley and Univ. of Colorado Denver * - * @version 1.1.0 + * @version 1.2.0 * @comment This file has been automatically generated - * from Plasma 2.5.0 for MORSE 1.0.0 + * from Plasma 2.5.0 for CHAMELEON 1.0.0 * @author Jakub Kurzak * @author Mathieu Faverge * @author Emmanuel Agullo * @author Cedric Castagnede - * @date 2018-11-11 + * @date 2022-11-09 * @generated d Fri Dec 1 14:38:30 2017 * **/ #include "../include/mixed_prec.h" +#include +#include +#include +#include +#include /***************************************************************************//** * * @ingroup double * - * MORSE_dpotrf - Computes the Cholesky factorization of a symmetric positive definite + * CHAM_dpotrf - Computes the Cholesky factorization of a symmetric positive definite * (or Symmetric positive definite in the real case) matrix A. * The factorization has the form * - * \f[ A = \{_{L\times L^H, if uplo = MorseLower}^{U^H\times U, if uplo = MorseUpper} \f] + * \f[ A = \{_{L\times L^H, if uplo = ChamLower}^{U^H\times U, if uplo = ChamUpper} \f] * * where U is an upper triangular matrix and L is a lower triangular matrix. * ******************************************************************************* * * @param[in] uplo - * = MorseUpper: Upper triangle of A is stored; - * = MorseLower: Lower triangle of A is stored. + * = ChamUpper: Upper triangle of A is stored; + * = ChamLower: Lower triangle of A is stored. * * @param[in] N * The order of the matrix A. N >= 0. * * @param[in,out] A * On entry, the symmetric positive definite (or Symmetric) matrix A. - * If uplo = MorseUpper, the leading N-by-N upper triangular part of A + * If uplo = ChamUpper, the leading N-by-N upper triangular part of A * contains the upper triangular part of the matrix A, and the strictly lower triangular * part of A is not referenced. * If UPLO = 'L', the leading N-by-N lower triangular part of A contains the lower @@ -67,97 +72,98 @@ ******************************************************************************* * * @return - * \retval MORSE_SUCCESS successful exit + * \retval CHAMELEON_SUCCESS successful exit * \retval <0 if -i, the i-th argument had an illegal value * \retval >0 if i, the leading minor of order i of A is not positive definite, so the * factorization could not be completed, and the solution has not been computed. * ******************************************************************************* * - * @sa MORSE_dpotrf_Tile - * @sa MORSE_dpotrf_Tile_Async - * @sa MORSE_cpotrf - * @sa MORSE_dpotrf - * @sa MORSE_spotrf - * @sa MORSE_dpotrs + * @sa CHAMELEON_dpotrf_Tile + * @sa CHAMELEON_dpotrf_Tile_Async + * @sa CHAM_cpotrf + * @sa CHAM_dpotrf + * @sa CHAM_spotrf + * @sa CHAM_dpotrs * ******************************************************************************/ -int MORSE_sdpotrf(MORSE_enum uplo, int N, - double *A, double *temp, int LDA, int diag_thick) -{ +int CHAMELEON_sdpotrf(CHAM_enum uplo, int N, + double*A, double*temp, int LDA, int diag_thick) { int NB; int status; - MORSE_context_t *morse; - MORSE_sequence_t *sequence = NULL; - MORSE_request_t request = MORSE_REQUEST_INITIALIZER; - MORSE_desc_t descAl, descAt; + RUNTIME_sequence_t *sequence = NULL; + RUNTIME_request_t *request = CHAMELEON_SUCCESS; + CHAM_desc_t descAl, descAt; - morse = morse_context_self(); - if (morse == NULL) { - morse_fatal_error("MORSE_diag_dpotrf", "MORSE not initialized"); - return MORSE_ERR_NOT_INITIALIZED; + CHAM_context_t *chamctxt; + chamctxt = chameleon_context_self(); + if (chamctxt == NULL) { + chameleon_fatal_error("CHAM_diag_dpotrf", "CHAM not initialized"); + return CHAMELEON_ERR_NOT_INITIALIZED; + } + + if (chamctxt == NULL) { + chameleon_fatal_error("CHAM_diag_dpotrf", "CHAMELEON not initialized"); + return CHAMELEON_ERR_NOT_INITIALIZED; } /* Check input arguments */ - if ((uplo != MorseUpper) && (uplo != MorseLower)) { - morse_error("MORSE_diag_dpotrf", "illegal value of uplo"); + if ((uplo != ChamUpper) && (uplo != ChamLower)) { + chameleon_error("CHAM_diag_dpotrf", "illegal value of uplo"); return -1; } if (N < 0) { - morse_error("MORSE_diag_dpotrf", "illegal value of N"); + chameleon_error("CHAM_diag_dpotrf", "illegal value of N"); return -2; } if (LDA < chameleon_max(1, N)) { - morse_error("MORSE_diag_dpotrf", "illegal value of LDA"); + chameleon_error("CHAM_diag_dpotrf", "illegal value of LDA"); return -4; } -/* Quick return */ + /* Quick return */ if (chameleon_max(N, 0) == 0) - return MORSE_SUCCESS; + return CHAMELEON_SUCCESS; /* Tune NB depending on M, N & NRHS; Set NBNB */ - status = morse_tune(MORSE_FUNC_DPOSV, N, N, 0); - if (status != MORSE_SUCCESS) { - morse_error("MORSE_diag_dpotrf", "morse_tune() failed"); + status = chameleon_tune(CHAMELEON_FUNC_DPOSV, N, N, 0); + if (status != CHAMELEON_SUCCESS) { + chameleon_error("CHAM_diag_dpotrf", "chameleon_tune() failed"); return status; } /* Set NT */ - NB = MORSE_NB; - - morse_sequence_create( morse, &sequence ); + NB = CHAMELEON_NB; + chameleon_sequence_create(chamctxt, &sequence); /* Submit the matrix conversion */ - morse_dlap2tile( morse, &descAl, &descAt, MorseDescInout, uplo, - A, NB, NB, LDA, N, N, N, sequence, &request ); + chameleon_dlap2tile(chamctxt, &descAl, &descAt, ChamDescInout, uplo, + A, NB, NB, LDA, N, N, N, sequence, &request); /* Call the tile interface */ - MORSE_sdpotrf_Tile_Async(uplo, &descAt, &temp, diag_thick, sequence, &request); + EXAGEOSTAT_sdpotrf_Tile_Async(uplo, &descAt, &temp, diag_thick, sequence, &request); /* Submit the matrix conversion back */ - morse_dtile2lap( morse, &descAl, &descAt, - MorseDescInout, uplo, sequence, &request ); + chameleon_dtile2lap(chamctxt, &descAl, &descAt, + ChamDescInout, uplo, sequence, &request); - morse_sequence_wait( morse, sequence ); + chameleon_sequence_wait(chamctxt, sequence); /* Cleanup the temporary data */ - morse_dtile2lap_cleanup( morse, &descAl, &descAt ); + chameleon_dtile2lap_cleanup(chamctxt, &descAl, &descAt); status = sequence->status; - morse_sequence_destroy( morse, sequence ); + chameleon_sequence_destroy(chamctxt, sequence); return status; - - } /***************************************************************************//** * * @ingroup double_Tile * - * MORSE_dpotrf_Tile - Computes the Cholesky factorization of a symmetric positive definite + * CHAMELEON_dpotrf_Tile - Computes the Cholesky factorization of a symmetric positive definite * or Symmetric positive definite matrix. - * Tile equivalent of MORSE_dpotrf(). + * Tile equivalent of CHAM_dpotrf(). * Operates on matrices stored by tiles. * All matrices are passed through descriptors. * All dimensions are taken from the descriptors. @@ -165,12 +171,12 @@ int MORSE_sdpotrf(MORSE_enum uplo, int N, ******************************************************************************* * * @param[in] uplo - * = MorseUpper: Upper triangle of A is stored; - * = MorseLower: Lower triangle of A is stored. + * = ChamUpper: Upper triangle of A is stored; + * = ChamLower: Lower triangle of A is stored. * * @param[in] A * On entry, the symmetric positive definite (or Symmetric) matrix A. - * If uplo = MorseUpper, the leading N-by-N upper triangular part of A + * If uplo = ChamUpper, the leading N-by-N upper triangular part of A * contains the upper triangular part of the matrix A, and the strictly lower triangular * part of A is not referenced. * If UPLO = 'L', the leading N-by-N lower triangular part of A contains the lower @@ -182,40 +188,38 @@ int MORSE_sdpotrf(MORSE_enum uplo, int N, ******************************************************************************* * * @return - * \retval MORSE_SUCCESS successful exit + * \retval CHAMELEON_SUCCESS successful exit * \retval >0 if i, the leading minor of order i of A is not positive definite, so the * factorization could not be completed, and the solution has not been computed. * ******************************************************************************* * - * @sa MORSE_dpotrf - * @sa MORSE_dpotrf_Tile_Async - * @sa MORSE_cpotrf_Tile - * @sa MORSE_dpotrf_Tile - * @sa MORSE_spotrf_Tile - * @sa MORSE_dpotrs_Tile + * @sa CHAM_dpotrf + * @sa CHAMELEON_dpotrf_Tile_Async + * @sa CHAM_cpotrf_Tile + * @sa CHAMELEON_dpotrf_Tile + * @sa CHAMELEON_spotrf_Tile + * @sa CHAM_dpotrs_Tile * ******************************************************************************/ -int MORSE_sdpotrf_Tile(MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *temp, int diag_thick) -{ - MORSE_context_t *morse; - MORSE_sequence_t *sequence = NULL; - MORSE_request_t request = MORSE_REQUEST_INITIALIZER; +int EXAGEOSTAT_sdpotrf_Tile(CHAM_enum uplo, CHAM_desc_t *A, CHAM_desc_t *temp, int diag_thick) { + CHAM_context_t *chamctxt; + RUNTIME_sequence_t *sequence = NULL; + RUNTIME_request_t *request = CHAMELEON_SUCCESS; int status; - morse = morse_context_self(); - if (morse == NULL) { - morse_fatal_error("MORSE_dpotrf_Tile", "MORSE not initialized"); - return MORSE_ERR_NOT_INITIALIZED; + chamctxt = chameleon_context_self(); + if (chamctxt == NULL) { + chameleon_fatal_error("CHAMELEON_dpotrf_Tile", "CHAMELEON not initialized"); + return CHAMELEON_ERR_NOT_INITIALIZED; } - morse_sequence_create(morse, &sequence); - MORSE_sdpotrf_Tile_Async(uplo, A, temp, diag_thick, sequence, &request); - MORSE_Desc_Flush( A, sequence ); - morse_sequence_wait(morse, sequence); - // RUNTIME_desc_getoncpu(A); + chameleon_sequence_create(chamctxt, &sequence); + EXAGEOSTAT_sdpotrf_Tile_Async(uplo, A, temp, diag_thick, sequence, &request); + CHAMELEON_Desc_Flush(A, sequence); + chameleon_sequence_wait(chamctxt, sequence); status = sequence->status; - morse_sequence_destroy(morse, sequence); + chameleon_sequence_destroy(chamctxt, sequence); return status; } @@ -223,9 +227,9 @@ int MORSE_sdpotrf_Tile(MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *temp, int * * @ingroup double_Tile_Async * - * MORSE_dpotrf_Tile_Async - Computes the Cholesky factorization of a symmetric + * CHAMELEON_dpotrf_Tile_Async - Computes the Cholesky factorization of a symmetric * positive definite or Symmetric positive definite matrix. - * Non-blocking equivalent of MORSE_dpotrf_Tile(). + * Non-blocking equivalent of CHAMELEON_dpotrf_Tile(). * May return before the computation is finished. * Allows for pipelining of operations at runtime. * @@ -240,58 +244,51 @@ int MORSE_sdpotrf_Tile(MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *temp, int * ******************************************************************************* * - * @sa MORSE_dpotrf - * @sa MORSE_dpotrf_Tile - * @sa MORSE_cpotrf_Tile_Async - * @sa MORSE_dpotrf_Tile_Async - * @sa MORSE_spotrf_Tile_Async - * @sa MORSE_dpotrs_Tile_Async + * @sa CHAM_dpotrf + * @sa CHAMELEON_dpotrf_Tile + * @sa CHAM_cpotrf_Tile_Async + * @sa CHAMELEON_dpotrf_Tile_Async + * @sa CHAMELEON_spotrf_Tile_Async + * @sa CHAM_dpotrs_Tile_Async * ******************************************************************************/ -int MORSE_sdpotrf_Tile_Async(MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *temp, int diag_thick, - MORSE_sequence_t *sequence, MORSE_request_t *request) -{ - MORSE_context_t *morse; - - morse = morse_context_self(); - if (morse == NULL) { - morse_fatal_error("MORSE_dpotrf_Tile_Async", "MORSE not initialized"); - return MORSE_ERR_NOT_INITIALIZED; +int EXAGEOSTAT_sdpotrf_Tile_Async(CHAM_enum uplo, CHAM_desc_t *A, CHAM_desc_t *temp, int diag_thick, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request) { + CHAM_context_t *chamctxt; + chamctxt = chameleon_context_self(); + if (chamctxt == NULL) { + chameleon_fatal_error("CHAMELEON_dpotrf_Tile_Async", "CHAMELEON not initialized"); + return CHAMELEON_ERR_NOT_INITIALIZED; } if (sequence == NULL) { - morse_fatal_error("MORSE_dpotrf_Tile_Async", "NULL sequence"); - return MORSE_ERR_UNALLOCATED; + chameleon_fatal_error("CHAMELEON_dpotrf_Tile_Async", "NULL sequence"); + return CHAMELEON_ERR_UNALLOCATED; } if (request == NULL) { - morse_fatal_error("MORSE_dpotrf_Tile_Async", "NULL request"); - return MORSE_ERR_UNALLOCATED; + chameleon_fatal_error("CHAMELEON_dpotrf_Tile_Async", "NULL request"); + return CHAMELEON_ERR_UNALLOCATED; } /* Check sequence status */ - if (sequence->status == MORSE_SUCCESS) - request->status = MORSE_SUCCESS; + if (sequence->status == CHAMELEON_SUCCESS) + request->status = CHAMELEON_SUCCESS; else - return morse_request_fail(sequence, request, MORSE_ERR_SEQUENCE_FLUSHED); + return chameleon_request_fail(sequence, request, CHAMELEON_ERR_SEQUENCE_FLUSHED); /* Check descriptors for correctness */ - if (morse_desc_check(A) != MORSE_SUCCESS) { - morse_error("MORSE_dpotrf_Tile_Async", "invalid descriptor"); - return morse_request_fail(sequence, request, MORSE_ERR_ILLEGAL_VALUE); + if (chameleon_desc_check(A) != CHAMELEON_SUCCESS) { + chameleon_error("CHAMELEON_dpotrf_Tile_Async", "invalid descriptor"); + return chameleon_request_fail(sequence, request, CHAMELEON_ERR_ILLEGAL_VALUE); } /* Check input arguments */ if (A->nb != A->mb) { - morse_error("MORSE_dpotrf_Tile_Async", "only square tiles supported"); - return morse_request_fail(sequence, request, MORSE_ERR_ILLEGAL_VALUE); + chameleon_error("CHAMELEON_dpotrf_Tile_Async", "only square tiles supported"); + return chameleon_request_fail(sequence, request, CHAMELEON_ERR_ILLEGAL_VALUE); } - if (uplo != MorseUpper && uplo != MorseLower) { - morse_error("MORSE_dpotrf_Tile_Async", "illegal value of uplo"); - return morse_request_fail(sequence, request, -1); + if (uplo != ChamUpper && uplo != ChamLower) { + chameleon_error("CHAMELEON_dpotrf_Tile_Async", "illegal value of uplo"); + return chameleon_request_fail(sequence, request, -1); } - /* Quick return */ -/* - if (chameleon_max(N, 0) == 0) - return MORSE_SUCCESS; -*/ - morse_psdpotrf(uplo, A, temp, diag_thick, sequence, request); - return MORSE_SUCCESS; -} + chameleon_psdpotrf(uplo, A, diag_thick, sequence, request); + return CHAMELEON_SUCCESS; +} \ No newline at end of file diff --git a/exageostat_exact/src/include/MLE_exact.h b/exageostat_exact/src/include/MLE_exact.h index 1bbf491..b1bfe48 100644 --- a/exageostat_exact/src/include/MLE_exact.h +++ b/exageostat_exact/src/include/MLE_exact.h @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,63 +11,71 @@ * * ExaGeoStat exact computation main functions header file. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2020-06-06 + * @date 2022-11-09 * **/ #ifndef _MLE_EXACT_H_ #define _MLE_EXACT_H_ + #include "MLE_misc.h" #include "flat_file.h" + #if defined(EXAGEOSTAT_USE_NETCDF) - #include "nc_file.h" + +#include "nc_file.h" + #endif + #include "starpu_exageostat.h" +void EXAGEOSTAT_MLE_dzvg_Tile(MLE_data *data, double*Nrand, double*initial_theta, + int n, int dts, int log); -void MORSE_MLE_dzvg_Tile (MLE_data *data, double *Nrand, double *initial_theta, - int n, int dts, int log); +void EXAGEOSTAT_MLE_dzcpy(MLE_data *data, double*streamdata); -void MORSE_MLE_dzcpy( MLE_data *data, double *streamdata); +void EXAGEOSTAT_MLE_dzvg_Tile_Async(MLE_data *data, double*Nrand, double*initial_theta, + int n, int dts, int log); -void MORSE_MLE_dzvg_Tile_Async (MLE_data *data, double *Nrand, double *initial_theta, - int n, int dts, int log); +double EXAGEOSTAT_dmle_Tile(unsigned n, const double*theta, double*grad, + void *CHAM_data); -double MORSE_dmle_Tile(unsigned n, const double *theta, double *grad, - void *MORSE_data); +double EXAGEOSTAT_dmle_Tile_Async(unsigned n, const double*theta, double*grad, + void *CHAM_data); -double MORSE_dmle_Tile_Async(unsigned n, const double *theta, double *grad, - void *MORSE_data); +double EXAGEOSTAT_dmle_Predict_Tile(MLE_data *CHAM_data, double*theta, int nZmiss, + int nZobs, double*Zobs, double*Zactual, + double*Zmiss, int n); -double MORSE_dmle_Predict_Tile(MLE_data *MORSE_data, double * theta, int nZmiss, - int nZobs, double *Zobs, double *Zactual, - double *Zmiss, int n); +void EXAGEOSTAT_dmle_Predict_Allocate(MLE_data *CHAM_data, int nZmiss, int nZobs, + int dts, int p_grid, int q_grid, + int mse_flag); -void MORSE_dmle_Predict_Allocate(MLE_data *MORSE_data, int nZmiss, int nZobs, - int dts, int p_grid, int q_grid, - int mse_flag); +double EXAGEOSTAT_dmle_Predict_Tile_Async(MLE_data *CHAM_data, double*theta, int nZmiss, + int nZobs, int n); -double MORSE_dmle_Predict_Tile_Async(MLE_data *MORSE_data, double *theta, int nZmiss, - int nZobs, int n); +void EXAGEOSTAT_dmle_Call(MLE_data *data, int ncores, int gpus, + int dts, int p_grid, int q_grid, + int N, int nZobs, int nZmiss); -void MORSE_dmle_Call(MLE_data *data, int ncores,int gpus, - int dts, int p_grid, int q_grid, - int N, int nZobs, int nZmiss); +void EXAGEOSTAT_MLE_szcpy(MLE_data *data, double*streamdata); -void MORSE_MLE_szcpy( MLE_data *data, double *streamdata); +void EXAGEOSTAT_psdpotrf(CHAM_enum uplo, CHAM_desc_t *A, int diag_thick, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); -void morse_psdpotrf(MORSE_enum uplo, MORSE_desc_t *A, int diag_thick, - MORSE_sequence_t *sequence, MORSE_request_t *request); +void EXAGEOSTAT_dmle_mloe_mmom_Allocate(MLE_data *CHAM_data, int nZmiss, int nZobs, + int dts, int p_grid, int q_grid); -void MORSE_dmle_mloe_mmom_Allocate(MLE_data *MORSE_data, int nZmiss, int nZobs, - int dts, int p_grid, int q_grid); +void EXAGEOSTAT_dmle_mloe_mmom_Tile(MLE_data *CHAM_data, double*truth_theta, double*estimatedtheta, + int nZmiss, int nZobs, int n); -void MORSE_dmle_mloe_mmom_Tile(MLE_data *MORSE_data, double * truth_theta, double* estimatedtheta, - int nZmiss, int nZobs, int n); +void EXAGEOSTAT_dmle_mloe_mmom_Tile_Async(MLE_data *CHAM_data, double*truth_theta, double*estimatedtheta, + int nZmiss, int nZobs, int n); -void MORSE_dmle_mloe_mmom_Tile_Async(MLE_data *MORSE_data, double * truth_theta, double* estimatedtheta, - int nZmiss, int nZobs, int n); -#endif +double*EXAGEOSTAT_Fisher_Tile(MLE_data *data, int N, double*initial_theta, + int dts, int p_grid, int q_grid); + +#endif \ No newline at end of file diff --git a/exageostat_exact/src/include/MLE_exact_s.h b/exageostat_exact/src/include/MLE_exact_s.h index a48fc4c..6a00f6a 100644 --- a/exageostat_exact/src/include/MLE_exact_s.h +++ b/exageostat_exact/src/include/MLE_exact_s.h @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020, King Abdullah University of Science and Technology + * Copyright (c) 2017-2023, King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,50 +11,53 @@ * * ExaGeoStat exact computation main functions header file. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2020-06-06 + * @date 2022-11-09 * **/ #ifndef _MLE_EXACT_S_H_ #define _MLE_EXACT_S_H_ + #include "MLE_misc.h" #include "flat_file.h" + #if defined(EXAGEOSTAT_USE_NETCDF) + #include "nc_file.h" + #endif -#include "starpu_exageostat.h" +#include "starpu_exageostat.h" -void MORSE_MLE_szvg_Tile (MLE_data *data, float *Nrand, double *initial_theta, - int n, int dts, int log); -//void MORSE_MLE_zcpy( MLE_data *data, double *streamdata); -void MORSE_MLE_szvg_Tile_Async (MLE_data *data, float *Nrand, double *initial_theta, - int n, int dts, int log); +void EXAGEOSTAT_MLE_szvg_Tile(MLE_data *data, float *Nrand, double*initial_theta, + int n, int dts, int log); -double MORSE_smle_Tile(unsigned n, const double *theta, double *grad, - void *MORSE_data); +void EXAGEOSTAT_MLE_szvg_Tile_Async(MLE_data *data, float *Nrand, double*initial_theta, + int n, int dts, int log); -double MORSE_smle_Tile_Async(unsigned n, const double *theta, - double *grad, void *MORSE_data); +double EXAGEOSTAT_smle_Tile(unsigned n, const double*theta, double*grad, + void *CHAM_data); -double MORSE_smle_Predict_Tile(MLE_data *MORSE_data, double * theta, int nZmiss, - int nZobs, double *Zobs, double *Zactual, - double *Zmiss, int n); +double EXAGEOSTAT_smle_Tile_Async(unsigned n, const double*theta, + double*grad, void *CHAM_data); -void MORSE_smle_Predict_Allocate(MLE_data *MORSE_data, int nZmiss, int nZobs, - int dts, int p_grid, int q_grid, - int mse_flag); +double EXAGEOSTAT_smle_Predict_Tile(MLE_data *CHAM_data, double*theta, int nZmiss, + int nZobs, double*Zobs, double*Zactual, + double*Zmiss, int n); -double MORSE_smle_Predict_Tile_Async(MLE_data *MORSE_data, double * theta, - int nZmiss, int nZobs, double *Zobs, - double *Zactual, double *Zmiss, int n); +void EXAGEOSTAT_smle_Predict_Allocate(MLE_data *CHAM_data, int nZmiss, int nZobs, + int dts, int p_grid, int q_grid, + int mse_flag); -void MORSE_smle_Call(MLE_data *data, int ncores,int gpus, - int dts, int p_grid, int q_grid, - int N, int nZobs, int nZmiss); +double EXAGEOSTAT_smle_Predict_Tile_Async(MLE_data *CHAM_data, double*theta, + int nZmiss, int nZobs, double*Zobs, + double*Zactual, double*Zmiss, int n); +void EXAGEOSTAT_smle_Call(MLE_data *data, int ncores, int gpus, + int dts, int p_grid, int q_grid, + int N, int nZobs, int nZmiss); #endif diff --git a/exageostat_exact/src/include/MLE_ng_exact.h b/exageostat_exact/src/include/MLE_ng_exact.h new file mode 100644 index 0000000..5b9a3da --- /dev/null +++ b/exageostat_exact/src/include/MLE_ng_exact.h @@ -0,0 +1,66 @@ +/** + * + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology + * All rights reserved. + * + * ExaGeoStat is a software package provided by KAUST + **/ +/** + * + * @file MLE_exact.h + * + * ExaGeoStat exact computation main functions header file. + * + * @version 1.2.0 + * + * @author Sameh Abdulah + * @date 2022-11-09 + * + **/ +#ifndef _MLE_NG_EXACT_H_ +#define _MLE_NG_EXACT_H_ + +#include "MLE_misc.h" +#include "flat_file.h" + +#if defined(EXAGEOSTAT_USE_NETCDF) + +#include "nc_file.h" + +#endif + +#include "starpu_exageostat.h" + + +void EXAGEOSTAT_MLE_ng_dzvg_Tile(MLE_data *data, double*Nrand, double*initial_theta, + int n, int dts, int log); + +void EXAGEOSTAT_MLE_ng_dzcpy(MLE_data *data, double*streamdata); + +void EXAGEOSTAT_MLE_ng_dzvg_Tile_Async(MLE_data *data, double*Nrand, double*initial_theta, + int n, int dts, int log); + +double EXAGEOSTAT_dmle_ng_Tile(unsigned n, const double*theta, double*grad, + void *CHAM_data); + +double EXAGEOSTAT_dmle_ng_Tile_Async(unsigned n, const double*theta, double*grad, + void *CHAM_data); + +double EXAGEOSTAT_dmle_ng_Predict_Tile(MLE_data *CHAM_data, double*theta, int nZmiss, + int nZobs, double*Zobs, double*Zactual, + double*Zmiss, int n); + +void EXAGEOSTAT_dmle_ng_Predict_Allocate(MLE_data *CHAM_data, int nZmiss, int nZobs, + int dts, int p_grid, int q_grid, + int mse_flag); + +double EXAGEOSTAT_dmle_ng_Predict_Tile_Async(MLE_data *CHAM_data, double*theta, int nZmiss, + int nZobs, int n); + +void EXAGEOSTAT_dmle_ng_Call(MLE_data *data, int ncores, int gpus, + int dts, int p_grid, int q_grid, + int N, int nZobs, int nZmiss); + +void EXAGEOSTAT_MLE_ng_szcpy(MLE_data *data, double*streamdata); + +#endif diff --git a/exageostat_exact/src/include/MLE_sdexact.h b/exageostat_exact/src/include/MLE_sdexact.h index 497627b..5dcfea3 100644 --- a/exageostat_exact/src/include/MLE_sdexact.h +++ b/exageostat_exact/src/include/MLE_sdexact.h @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020, King Abdullah University of Science and Technology + * Copyright (c) 2017-2023, King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,44 +11,57 @@ * * ExaGeoStat exact computation main functions header file. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2019-08-06 + * @date 2022-11-09 * **/ #ifndef _MLE_SDEXACT_S_H_ #define _MLE_SDEXACT_S_H_ + #include "MLE_misc.h" #include "flat_file.h" + #if defined(EXAGEOSTAT_USE_NETCDF) - #include "nc_file.h" + +#include "nc_file.h" + #endif + #include "starpu_exageostat.h" -void MORSE_MLE_sdregister_Tile (MLE_data *data); -void MORSE_MLE_sdzvg_Tile (MLE_data *data, double *Nrand, double *initial_theta, - int n, int dts, int log); -void MORSE_MLE_sdzcpy( MLE_data *data, double *streamdata); -void MORSE_MLE_sdzvg_Tile_Async (MLE_data *data, double *Nrand, double *initial_theta, - int n, int dts, int log); -double MORSE_sdmle_Tile(unsigned n, const double *theta, double *grad, - void *MORSE_data); -double MORSE_sdmle_Tile_Async(unsigned n, const double *theta, double *grad, - void *MORSE_data); -double MORSE_sdmle_Predict_Tile(MLE_data *MORSE_data, double *theta, int nZmiss, - int nZobs, double *Zobs, double *Zactual, - double *Zmiss, int n); -void MORSE_sdmle_Predict_Allocate(MLE_data *MORSE_data, int nZmiss, int nZobs, - int dts, int p_grid, int q_grid, - int mse_flag); -double MORSE_sdmle_Predict_Tile_Async(MLE_data *MORSE_data, double *theta, int nZmiss, - int nZobs, double *Zobs, double *Zactual, - double *Zmiss, int n); -void MORSE_sdmle_Call(MLE_data *data, int ncores,int gpus, - int dts, int p_grid, int q_grid, - int N, int nZobs, int nZmiss); +void EXAGEOSTAT_MLE_sdregister_Tile(MLE_data *data); + +void EXAGEOSTAT_MLE_sdzvg_Tile(MLE_data *data, double *Nrand, double *initial_theta, + int n, int dts, int log); + +void EXAGEOSTAT_MLE_sdzcpy(MLE_data *data, double *streamdata); + +void EXAGEOSTAT_MLE_sdzvg_Tile_Async(MLE_data *data, double *Nrand, double *initial_theta, + int n, int dts, int log); + +double EXAGEOSTAT_sdmle_Tile(unsigned n, const double *theta, double *grad, + void *CHAM_data); + +double EXAGEOSTAT_sdmle_Tile_Async(unsigned n, const double *theta, double *grad, + void *CHAM_data); + +double EXAGEOSTAT_sdmle_Predict_Tile(MLE_data *CHAM_data, double *theta, int nZmiss, + int nZobs, double *Zobs, double *Zactual, + double *Zmiss, int n); + +void EXAGEOSTAT_sdmle_Predict_Allocate(MLE_data *CHAM_data, int nZmiss, int nZobs, + int dts, int p_grid, int q_grid, + int mse_flag); + +double EXAGEOSTAT_sdmle_Predict_Tile_Async(MLE_data *CHAM_data, double *theta, int nZmiss, + int nZobs, double *Zobs, double *Zactual, + double *Zmiss, int n); +void EXAGEOSTAT_sdmle_Call(MLE_data *data, int ncores, int gpus, + int dts, int p_grid, int q_grid, + int N, int nZobs, int nZmiss); #endif diff --git a/exageostat_exact/src/include/mixed_prec.h b/exageostat_exact/src/include/mixed_prec.h index 41a1153..fb4b8b2 100644 --- a/exageostat_exact/src/include/mixed_prec.h +++ b/exageostat_exact/src/include/mixed_prec.h @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,22 +11,22 @@ * * ExaGeoStat approx computation main functions header file. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2018-11-11 + * @date 2022-11-09 * **/ #ifndef _MIXED_PREC_H_ #define _MIXED_PREC_H_ -#include "starpu_exageostat.h" -#include "common.h" +#include +#include -int MORSE_sdpotrf_Tile(MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *temp, - int diag_thick); -int MORSE_sdpotrf_Tile_Async(MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *temp, - int diag_thick, MORSE_sequence_t *sequence, MORSE_request_t *request); +int EXAGEOSTAT_sdpotrf_Tile(CHAM_enum uplo, CHAM_desc_t *A, CHAM_desc_t *temp, int diag_thick); + +int EXAGEOSTAT_sdpotrf_Tile_Async(CHAM_enum uplo, CHAM_desc_t *A, CHAM_desc_t *temp, + int diag_thick, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); #endif diff --git a/examples/CMakeLists.txt b/examples/CMakeLists.txt index 3d72f69..2d11bde 100644 --- a/examples/CMakeLists.txt +++ b/examples/CMakeLists.txt @@ -1,391 +1,586 @@ cmake_policy(SET CMP0057 NEW) -set( tests_files synthetic_dmle_test.c synthetic_smle_test.c synthetic_sdmle_test.c - synthetic_dmle_locs_rwrapper_test.c synthetic_dmle_rwrapper_test.c real_csv_dmle_test.c - real_csv_smle_test.c real_csv_sdmle_test.c) +set(tests_files synthetic_dmle_test.c synthetic_smle_test.c synthetic_sdmle_test.c + synthetic_dmle_locs_rwrapper_test.c synthetic_dmle_rwrapper_test.c real_csv_dmle_test.c + synthetic_sdmle_rwrapper_test.c real_csv_smle_test.c real_csv_sdmle_test.c) -if(EXAGEOSTAT_USE_NETCDF) +if (EXAGEOSTAT_USE_NETCDF) list(APPEND tests_files real_nc_dmle_1dlocs_test.c real_nc_dmle_2dlocs_test.c real_nc_sdmle_2dlocs_test.c real_nc_sdmle_1dlocs_test.c) -endif() - -foreach(test_src ${tests_files}) - get_filename_component(test_exe ${test_src} NAME_WE) - - -if(EXAGEOSTAT_USE_CUDA) -#message(WARNING "USING CUDA") - cuda_add_executable(${test_exe} ${test_src} examples.c) - set_target_properties(${test_exe} PROPERTIES LINKER_LANGUAGE C ) -else() -#message(WARNING "NOT USING CUDA") - add_executable(${test_exe} ${test_src} examples.c) -endif() - - target_link_libraries(${test_exe} exageostat) - #set_target_properties(test_${test_exe} PROPERTIES OUTPUT_NAME ${test_exe}) - list(APPEND exe_names ${test_exe}) -endforeach() - - -#foreach(test_src ${tests_files}) -# get_filename_component(test_exe ${test_src} NAME_WE) -# add_executable(${test_exe} ${test_src} examples.c) -# target_link_libraries(${test_exe} exageostat) -# #set_target_properties(test_${test_exe} PROPERTIES OUTPUT_NAME ${test_exe}) -# list(APPEND exe_names ${test_exe}) -#endforeach() - -file(DOWNLOAD "https://docs.google.com/uc?export=download&id=0B6mGsgjYG40kOGdNc2cyZzBjelk" "${CMAKE_CURRENT_BINARY_DIR}/marc-sample.tar.gz" EXPECTED_HASH MD5=2978769f72250eeff401f725158587a3) -file(DOWNLOAD "https://docs.google.com/uc?export=download&id=1Ib7W9Y5z7nqL2t9C8bbXFxL3J0E9f34U" "${CMAKE_CURRENT_BINARY_DIR}/wind-sample.tar.gz" EXPECTED_HASH MD5=2103ba786a3b07987ef70b4a37a94e9b) - -add_custom_target( extract_tests_data ALL - DEPENDS ${exe_names} - COMMAND cmake -E tar zxf marc-sample.tar.gz - COMMAND cmake -E tar zxf wind-sample.tar.gz - ) -set( test_env "STARPU_SILENT=1" ) -set( test_env2 "STARPU_LIMIT_CPU_MEM=100" ) -set( test_env3 "STARPU_DISK_SWAP=\"/tmp\"" ) -set( test_env4 "STARPU_DISK_SWAP_BACKEND=unistd" ) -set( test_env5 "STARPU_DISK_SWAP_SIZE=1024" ) - - -#Test(1) -add_test( NAME synthetic_dmle_test_matern_stationary_ooc - COMMAND numactl --interleave=all - ./synthetic_dmle_test - --test - --N=6400 - --dts=512 - --ncores=${NUMBER_OF_CPU} - --computation=exact - --kernel=?:?:? - --ikernel=1:0.1:0.5 - --olb=0.01:0.01:0.01 - --oub=5:5:5 - --zvecs=1 - --opt_iters=10 - --opt_tol=4 - --ooc - --kernel_fun=univariate_matern_stationary -) -set_tests_properties( synthetic_dmle_test_matern_stationary_ooc - PROPERTIES ENVIRONMENT "${test_env};${test_env2};${test_env3};${test_env4};${test_env5}" ) - -#Test(2) -add_test( NAME synthetic_dmle_test_ooc - COMMAND numactl --interleave=all - ./synthetic_dmle_test - --test - --N=6400 - --dts=512 - --ncores=${NUMBER_OF_CPU} - --computation=exact - --kernel=?:?:? - --ikernel=1:0.1:0.5 - --olb=0.01:0.01:0.01 - --oub=5:5:5 - --zvecs=1 - --opt_iters=10 - --opt_tol=4 - --ooc - --kernel_fun=univariate_matern_stationary - -) -set_tests_properties( synthetic_dmle_test_ooc - PROPERTIES ENVIRONMENT "${test_env};${test_env2};${test_env3};${test_env4};${test_env5}" ) - -#Test(3) -add_test( NAME synthetic_sdmle_test_ooc - COMMAND numactl --interleave=all - ./synthetic_sdmle_test - --test - --N=6400 - --dts=512 - --ncores=${NUMBER_OF_CPU} - --computation=exact - --diag_thick=1 - --kernel=?:?:? - --ikernel=1:0.1:0.5 - --olb=0.01:0.01:0.01 - --oub=5:5:5 - --zvecs=1 - --opt_iters=10 - --opt_tol=4 - --ooc - --kernel_fun=univariate_matern_stationary - -) -set_tests_properties( synthetic_sdmle_test_ooc - PROPERTIES ENVIRONMENT "${test_env};${test_env2};${test_env3};${test_env4};${test_env5}" ) - -#Test(4) -add_test( NAME synthetic_smle_test_ooc - COMMAND numactl --interleave=all - ./synthetic_smle_test - --test - --N=6400 - --dts=512 - --ncores=${NUMBER_OF_CPU} - --computation=exact - --kernel=?:?:? - --ikernel=1:0.1:0.5 - --olb=0.01:0.01:0.01 - --oub=5:5:5 - --zvecs=1 - --opt_iters=10 - --opt_tol=4 - --ooc - --kernel_fun=univariate_matern_stationary -) -set_tests_properties( synthetic_smle_test_ooc - PROPERTIES ENVIRONMENT "${test_env};${test_env2};${test_env3};${test_env4};${test_env5}" ) - -#Test(5) - -#add_test( NAME real_csv_dmle_test_t1 -# COMMAND numactl --interleave=all -# ./real_csv_dmle_test -# --dts=560 -# --ncores=${NUMBER_OF_CPU} -# --computation=exact -# --kernel=?:?:? -# --olb=0.01:0.01:0.1 -# --oub=5:5:5 -# --obs_dir=./marc-sample/ppt.complete.Y001 -# --locs_file=./marc-sample/METAinfo -# --predict=10 -# --kernel_fun=univariate_matern_stationary -# --mspe -#) -#set_tests_properties( real_csv_dmle_test_t1 -# PROPERTIES ENVIRONMENT "${test_env}") - -#Test(6) -add_test( NAME synthetic_dmle_test_diag_approx_t1 - COMMAND numactl --interleave=all - ./synthetic_dmle_test - --test - --N=19881 - --dts=960 - --ncores=${NUMBER_OF_CPU} - --computation=diag_approx - --diag_thick=5 - --kernel=?:?:? - --ikernel=1:0.1:0.5 - --olb=0.01:0.01:0.01 - --oub=5:5:5 - --zvecs=1 - --predict=10 - --lts=1900 - --acc=5 - --maxrank=300 - --opt_iters=5 - --opt_tol=2 - --predict=100 - --kernel_fun=univariate_matern_stationary - ) -set_tests_properties( synthetic_dmle_test_diag_approx_t1 - PROPERTIES ENVIRONMENT "${test_env}") -#Test(7) -add_test( NAME synthetic_dmle_test_lr_approx_t1 - COMMAND numactl --interleave=all - ./synthetic_dmle_test - --test - --N=8100 - --dts=960 - --ncores=${NUMBER_OF_CPU} - --computation=lr_approx - --kernel=?:?:? - --ikernel=1:0.1:0.5 - --olb=0.01:0.01:0.01 - --oub=5:5:5 - --zvecs=1 - --predict=100 - --lts=1000 - --acc=7 - --maxrank=400 - --opt_iters=2 - --opt_tol=4 - --kernel_fun=univariate_matern_stationary - ) -set_tests_properties( synthetic_dmle_test_lr_approx_t1 - PROPERTIES ENVIRONMENT "${test_env}") -#Test(8) -#add_test( NAME synthetic_dmle_rwrapper_test_exact_t1 -# COMMAND numactl --interleave=all -# ./synthetic_dmle_rwrapper_test -# --test -# --N=8100 -# --dts=560 -# --ncores=${NUMBER_OF_CPU} -# --computation=exact -# --kernel=?:?:? -# --ikernel=1:0.03:0.5 -# --olb=0.01:0.01:0.01 -# --oub=5:5:5 -# --zvecs=1 -# --predict=10 -# --opt_iters=20 -# --opt_tol=4 -# --kernel_fun=univariate_matern_stationary -# ) -#set_tests_properties( synthetic_dmle_rwrapper_test_exact_t1 -# PROPERTIES ENVIRONMENT "${test_env}") - -#Test(9) -#add_test( NAME synthetic_dmle_locs_rwrapper_test_exact_t1 -# COMMAND numactl --interleave=all -# ./synthetic_dmle_locs_rwrapper_test -# --dts=560 -# --ncores=${NUMBER_OF_CPU} -# --computation=exact -# --kernel=?:?:? -# --ikernel=1:0.03:0.5 -# --olb=0.01:0.01:0.01 -# --oub=5:5:5 -# --zvecs=1 -# --locs_file=./marc-sample/METAinfo -# --predict=10 -# --opt_iters=20 -# --opt_tol=4 -# --kernel_fun=univariate_matern_stationary -# ) -#set_tests_properties( synthetic_dmle_locs_rwrapper_test_exact_t1 -# PROPERTIES ENVIRONMENT "${test_env}") - - - -if(EXAGEOSTAT_USE_NETCDF) -#Test(10) -# add_test( NAME real_nc_dmle_1dlocs_test_exact -# COMMAND numactl --interleave=all -# ./real_nc_dmle_1dlocs_test -# --dts=560 -# --ncores=${NUMBER_OF_CPU} -# --computation=exact -# --kernel=?:?:? -# --olb=1.6:9.6:1.8 -# --oub=1.600004:9.625260:1.840517 -# --obs_dir=./20170901_UV_sample.nc -# --locs_file=./20170901_UV_sample.nc -# --predict=10 -# --dm=gc -# --kernel_fun=univariate_matern_stationary -# ) -#set_tests_properties( real_nc_dmle_1dlocs_test_exact -# PROPERTIES ENVIRONMENT "${test_env};${test_env2};${test_env3};${test_env4};${test_env5}" ) -#Test(11) -# add_test( NAME real_nc_dmle_1dlocs_test_diag_approx -# COMMAND numactl --interleave=all -# ./real_nc_dmle_1dlocs_test -# --dts=560 -# --ncores=${NUMBER_OF_CPU} -# --computation=diag_approx -# --diag_thick=5 -# --kernel=?:?:? -# --olb=1.6:9.6:1.8 -# --oub=1.600004:9.625260:1.840517 -# --obs_dir=./20170901_UV_sample.nc -# --locs_file=./20170901_UV_sample.nc -# --predict=10 -# --dm=gc -# --kernel_fun=univariate_matern_stationary -# ) -# set_tests_properties( real_nc_dmle_1dlocs_test_diag_approx -# PROPERTIES ENVIRONMENT "${test_env}") -endif() -#Test(12) -add_test( NAME synthetic_dmle_test_mloe_mmom - COMMAND numactl --interleave=all - ./synthetic_dmle_test - --test - --N=6400 - --dts=512 - --ncores=${NUMBER_OF_CPU} - --computation=exact - --kernel=?:?:? - --ikernel=1:0.1:0.5 - --olb=0.01:0.01:0.01 - --oub=5:5:5 - --zvecs=1 - --opt_iters=10 - --opt_tol=4 - --predict=10 - --mloe_mmom - --kernel_fun=univariate_matern_stationary -) - -set_tests_properties( synthetic_dmle_test_mloe_mmom - PROPERTIES ENVIRONMENT "${test_env}") - -#Test(13) -add_test( NAME synthetic_dmle_test_bivariate_parsimonious - COMMAND numactl --interleave=all - - ./synthetic_dmle_test - --test - --N=6400 - --dts=512 - --ncores=${NUMBER_OF_CPU} - --computation=exact - --kernel=?:?:?:?:?:? - --ikernel=1:1:0.1:0.5::0.5:0.1 - --olb=0.01:0.01:0.01:0.01:0.01:0.01 - --oub=5:5:5:5:5:5 - --zvecs=1 - --opt_iters=10 - --opt_tol=4 - --predict=10 - --kernel_fun=bivariate_matern_parsimonious -) -set_tests_properties( synthetic_dmle_test_bivariate_parsimonious - PROPERTIES ENVIRONMENT "${test_env}") - -#Test(14) -add_test( NAME synthetic_dmle_test_bivariate_parsimonious_tlr - COMMAND numactl --interleave=all - ./synthetic_dmle_test - --test - --N=1600 - --dts=320 - --ncores=${NUMBER_OF_CPU} - --computation=lr_approx - --kernel=?:?:?:?:?:? - --ikernel=1:1:0.1:0.5::0.5:0.1 - --olb=0.01:0.01:0.01:0.01:0.01:0.01 - --oub=5:5:5:5:5:5 - --zvecs=1 - --opt_iters=5 - --opt_tol=4 - --acc=5 - --maxrank=400 - --lts=600 - --kernel_fun=bivariate_matern_parsimonious - ) -set_tests_properties( synthetic_dmle_test_bivariate_parsimonious_tlr - PROPERTIES ENVIRONMENT "${test_env}") - - -#Test(15) -add_test( NAME synthetic_dmle_test_bivariate_parsimonious_dst - COMMAND numactl --interleave=all - ./synthetic_dmle_test - --test - --N=1600 - --dts=320 - --ncores=${NUMBER_OF_CPU} - --computation=diag_approx - --kernel=?:?:?:?:?:? - --ikernel=1:1:0.1:0.5::0.5:0.1 - --olb=0.01:0.01:0.01:0.01:0.01:0.01 - --oub=5:5:5:5:5:5 - - --zvecs=1 - --opt_iters=10 - --opt_tol=4 - --diag_thick=2 - --kernel_fun=bivariate_matern_parsimonious -) -set_tests_properties( synthetic_dmle_test_bivariate_parsimonious_dst - PROPERTIES ENVIRONMENT "${test_env}") +endif () + +foreach (test_src ${tests_files}) + get_filename_component(test_exe ${test_src} NAME_WE) + if (EXAGEOSTAT_USE_CUDA) + cuda_add_executable(${test_exe} ${test_src} examples.c) + set_target_properties(${test_exe} PROPERTIES LINKER_LANGUAGE C) + else () + add_executable(${test_exe} ${test_src} examples.c) + endif () + + target_link_libraries(${test_exe} exageostat) + list(APPEND exe_names ${test_exe}) +endforeach () + +file(DOWNLOAD "https://docs.google.com/uc?export=download&id=13B0kNFGdTNV3LQOsutHCxtQTSoxTiz1S" "${CMAKE_CURRENT_BINARY_DIR}/marc-sample.tar.gz") +file(DOWNLOAD "https://docs.google.com/uc?export=download&id=1Ib7W9Y5z7nqL2t9C8bbXFxL3J0E9f34U" "${CMAKE_CURRENT_BINARY_DIR}/wind-sample.tar.gz") + +add_custom_target(extract_tests_data ALL + DEPENDS ${exe_names} + COMMAND cmake -E tar zxf marc-sample.tar.gz + COMMAND cmake -E tar zxf wind-sample.tar.gz + ) +set(test_env "STARPU_SILENT=1") +set(test_env2 "STARPU_LIMIT_CPU_MEM=100") +set(test_env3 "STARPU_DISK_SWAP=\"/tmp\"") +set(test_env4 "STARPU_DISK_SWAP_BACKEND=unistd") +set(test_env5 "STARPU_DISK_SWAP_SIZE=1024") + +#Test(1): Univariate Matern Gaussian stationary kernel in dense -- double precision +add_test(NAME synthetic_dmle_test_matern_stationary + COMMAND numactl --interleave=all + ./synthetic_dmle_test + --test + --N=6400 + --dts=512 + --ncores=${NUMBER_OF_CPU} + --computation=exact + --kernel=?:?:? + --ikernel=1:0.1:0.5 + --olb=0.1:0.1:0.1 + --oub=5:5:5 + --zvecs=1 + --opt_iters=10 + --opt_tol=4 + --kernel_fun=univariate_matern_stationary + ) +set_tests_properties(synthetic_dmle_test_matern_stationary + PROPERTIES ENVIRONMENT "${test_env}") + +#Test(2): Univariate Matern Gaussian stationary kernel in dense -- single precision +add_test(NAME synthetic_smle_test_matern_stationary + COMMAND numactl --interleave=all + ./synthetic_smle_test + --test + --N=6400 + --dts=512 + --ncores=${NUMBER_OF_CPU} + --computation=exact + --kernel=?:?:? + --ikernel=1:0.1:0.5 + --olb=0.1:0.1:0.1 + --oub=5:5:5 + --zvecs=1 + --opt_iters=5 + --opt_tol=4 + --kernel_fun=univariate_matern_stationary + ) +set_tests_properties(synthetic_smle_test_matern_stationary + PROPERTIES ENVIRONMENT "${test_env}") + +#Test(3): Univariate Matern Gaussian stationary kernel with Nugget in dense -- double precision +add_test(NAME synthetic_dmle_test_matern_stationary_nugget + COMMAND numactl --interleave=all + ./synthetic_dmle_test + --test + --N=6400 + --dts=512 + --ncores=${NUMBER_OF_CPU} + --computation=exact + --kernel=?:?:?:? + --ikernel=1:0.1:0.5:0.1 + --olb=0.1:0.1:0.1:0.01 + --oub=5:5:5:5 + --zvecs=1 + --opt_iters=10 + --opt_tol=4 + --kernel_fun=univariate_matern_nuggets_stationary + + ) +set_tests_properties(synthetic_dmle_test_matern_stationary_nugget + PROPERTIES ENVIRONMENT "${test_env}") + + +##Test(4): Univariate Matern Gaussian stationary kernel with Nugget in dense -- single precision +#add_test(NAME synthetic_smle_test_matern_stationary_nugget +# COMMAND numactl --interleave=all +# ./synthetic_smle_test +# --test +# --N=6400 +# --dts=512 +# --ncores=${NUMBER_OF_CPU} +# --computation=exact +# --kernel=?:?:?:? +# --ikernel=1:0.1:0.5:0.1 +# --olb=0.01:0.01:0.01:0.01 +# --oub=5:5:5:5 +# --zvecs=1 +# --opt_iters=10 +# --opt_tol=4 +# --kernel_fun=univariate_matern_nuggets_stationary + + +# ) +#set_tests_properties(synthetic_smle_test_matern_stationary_nugget +# PROPERTIES ENVIRONMENT "${test_env}") + +#Test(5): Univariate Matern Gaussian stationary kernel with Nugget in diag_approx -- double precision +add_test(NAME synthetic_dmle_test_matern_stationary_nugget_diag_approx + COMMAND numactl --interleave=all + ./synthetic_dmle_test + --test + --N=6400 + --dts=512 + --ncores=${NUMBER_OF_CPU} + --computation=diag_approx + --kernel=?:?:?:? + --ikernel=1:0.1:0.5:0.1 + --olb=0.01:0.01:0.01:0.01 + --oub=5:5:5:5 + --zvecs=1 + --opt_iters=10 + --opt_tol=4 + --diag_thick=1 + --kernel_fun=univariate_matern_nuggets_stationary + + ) +set_tests_properties(synthetic_dmle_test_matern_stationary_nugget_diag_approx + PROPERTIES ENVIRONMENT "${test_env}") + +#Test(6): Matern Gaussian stationary kernel in dense -- mixed-precision +#add_test(NAME synthetic_sdmle_test +# COMMAND numactl --interleave=all +# ./synthetic_sdmle_test +# --test +# --N=6400 +# --dts=512 +# --ncores=${NUMBER_OF_CPU} +# --computation=exact +# --diag_thick=1 +# --kernel=?:?:? +# --ikernel=1:0.1:0.5 +# --olb=0.1:0.1:0.1 +# --oub=5:5:5 +# --zvecs=1 +# --opt_iters=10 +# --opt_tol=4 +# --kernel_fun=univariate_matern_stationary +# ) +# +#set_tests_properties(synthetic_sdmle_test +# PROPERTIES ENVIRONMENT "${test_env}")#;${test_env2};${test_env3};${test_env4};${test_env5}" ) + +#Test(7): Univariate Matern Gaussian stationary kernel in dense -- double precision +add_test(NAME synthetic_dmle_test_matern_stationary_ooc + COMMAND numactl --interleave=all + ./synthetic_dmle_test + --test + --N=6400 + --dts=512 + --ncores=${NUMBER_OF_CPU} + --computation=exact + --kernel=?:?:? + --ikernel=1:0.1:0.5 + --olb=0.1:0.1:0.1 + --oub=5:5:5 + --zvecs=1 + --opt_iters=10 + --opt_tol=4 + --kernel_fun=univariate_matern_stationary + --ooc + ) +set_tests_properties(synthetic_dmle_test_matern_stationary_ooc + PROPERTIES ENVIRONMENT "${test_env}") + +#Test(8): Univariate Matern Gaussian stationary kernel in diag_approx -- double precision +add_test(NAME synthetic_dmle_test_diag_approx_t1 + COMMAND numactl --interleave=all + ./synthetic_dmle_test + --test + --N=8100 + --dts=512 + --ncores=${NUMBER_OF_CPU} + --computation=diag_approx + --diag_thick=2 + --kernel=?:?:? + --ikernel=1:0.1:0.5 + --olb=0.01:0.01:0.01 + --oub=3:1:3 + --zvecs=1 + --predict=10 + --opt_iters=5 + --opt_tol=2 + --kernel_fun=univariate_matern_stationary + + ) +set_tests_properties(synthetic_dmle_test_diag_approx_t1 + PROPERTIES ENVIRONMENT "${test_env}") + +if (EXAGEOSTAT_USE_HICMA) + #Test(9): Univariate Matern Gaussian stationary kernel in lr_approx -- double precision + add_test(NAME synthetic_dmle_test_lr_approx_t1 + COMMAND numactl --interleave=all + ./synthetic_dmle_test + --test + --N=1600 + --dts=320 + --ncores=${NUMBER_OF_CPU} + --computation=lr_approx + --kernel=1:?:0.5 + --ikernel=1:0.1:0.5 + --olb=0.1:0.1:0.1 + --oub=5:5:5 + --zvecs=1 + --predict=100 + --opt_tol=4 + --mspe + --lts=1000 + --acc=7 + --maxrank=500 + --opt_iters=2 + --opt_tol=4 + --kernel_fun=univariate_matern_stationary + ) + set_tests_properties(synthetic_dmle_test_lr_approx_t1 + PROPERTIES ENVIRONMENT "${test_env}") +endif () + +#Test(10): Univarate Matern Gaussian stationary kernel in dense + MLOE and MMOM -- double precision +add_test(NAME synthetic_dmle_test_mloe_mmom + COMMAND numactl --interleave=all + ./synthetic_dmle_test + --test + --N=6400 + --dts=512 + --ncores=${NUMBER_OF_CPU} + --computation=exact + --kernel=?:?:? + --ikernel=1:0.1:0.5 + --olb=0.1:0.1:0.1 + --oub=5:5:5 + --zvecs=1 + --opt_iters=10 + --opt_tol=4 + --predict=10 + --mloe_mmom + --kernel_fun=univariate_matern_stationary + ) +set_tests_properties(synthetic_dmle_test_mloe_mmom + PROPERTIES ENVIRONMENT "${test_env}") + +#Test(11): Bivariate Parsimonious Matern Gaussian stationary kernel in dense -- double precision +add_test(NAME synthetic_dmle_test_bivariate_parsimonious + COMMAND numactl --interleave=all + ./synthetic_dmle_test + --test + --N=6400 + --dts=512 + --ncores=${NUMBER_OF_CPU} + --computation=exact + --kernel=?:?:?:?:?:? + --ikernel=1:1:0.1:0.5:0.5:0.1 + --olb=0.1:0.1:0.1:0.1:0.1:0.1 + --oub=5:5:5:5:5:5 + --zvecs=1 + --opt_iters=5 + --opt_tol=4 + --predict=10 + --mspe + --kernel_fun=bivariate_matern_parsimonious + ) +set_tests_properties(synthetic_dmle_test_bivariate_parsimonious + PROPERTIES ENVIRONMENT "${test_env}") + +if (EXAGEOSTAT_USE_HICMA) + #Test(12): Bivariate Parsimonious Matern Gaussian stationary kernel in lr_approx -- double precision + # add_test(NAME synthetic_dmle_test_bivariate_parsimonious_tlr + # COMMAND numactl --interleave=all + # ./synthetic_dmle_test + # --test + # --N=1600 + # --dts=320 + # --ncores=${NUMBER_OF_CPU} + # --computation=lr_approx + # --kernel=?:?:?:?:?:? + # --ikernel=1:1:0.1:0.5:0.5:0.1 + # --olb=0.1:0.1:0.1:0.1:0.1:0.1 + # --oub=5:5:5:5:5:5 + # --zvecs=1 + # --opt_iters=5 + # --opt_tol=4 + # --acc=5 + # --maxrank=400 + # --lts=600 + # --kernel_fun=bivariate_matern_parsimonious + # ) + # set_tests_properties(synthetic_dmle_test_bivariate_parsimonious_tlr + # PROPERTIES ENVIRONMENT "${test_env}") +endif () +#Test(13): Bivariate Parsimonious Matern Gaussian stationary kernel in diag_approx -- double precision +add_test(NAME synthetic_dmle_test_bivariate_parsimonious_dst + COMMAND numactl --interleave=all + ./synthetic_dmle_test + --test + --N=1600 + --dts=320 + --ncores=${NUMBER_OF_CPU} + --computation=diag_approx + --kernel=?:?:?:?:?:? + --ikernel=1:1:0.1:0.5:0.5:0.1 + --olb=0.01:0.01:0.01:0.01:0.01:0.01 + --oub=2:2:2:2:2:2 + --zvecs=1 + --opt_iters=7 + --opt_tol=4 + --diag_thick=2 + --kernel_fun=bivariate_matern_parsimonious + ) +set_tests_properties(synthetic_dmle_test_bivariate_parsimonious_dst + PROPERTIES ENVIRONMENT "${test_env}") + +#Test(14): Bivariate Parsimonious Matern Gaussian stationary kernel in diag_approx + MLOE and MMOM -- double precision +add_test(NAME synthetic_dmle_test_bivariate_parsimonious_mloe_mmom + COMMAND numactl --interleave=all + ./synthetic_dmle_test + --test + --N=1600 + --dts=320 + --ncores=${NUMBER_OF_CPU} + --computation=diag_approx + --kernel=?:?:?:?:?:? + --ikernel=1:1:0.1:0.5:0.5:0.1 + --olb=0.1:0.1:0.1:0.1:0.1:0.1 + --oub=5:5:5:5:5:5 + --zvecs=1 + --opt_iters=4 + --opt_tol=4 + --kernel_fun=bivariate_matern_parsimonious + --predict=3 + --diag_thick=1 + --mloe_mmom + ) +set_tests_properties(synthetic_dmle_test_bivariate_parsimonious_mloe_mmom + PROPERTIES ENVIRONMENT "${test_env}") + +#Test(15): Bivariate Flexible Matern Gaussian stationary kernel in dense -- double precision +add_test(NAME synthetic_dmle_test_bivariate_flexible + COMMAND numactl --interleave=all + ./synthetic_dmle_test + --test + --N=8100 + --dts=320 + --ncores=${NUMBER_OF_CPU} + --computation=exact + --kernel=?:?:?:?:?:?:?:?:?:?:? + --ikernel=0.3:0.6:0.01:0.3:0.9:0.9:0.05:0.3:1.5:0.9:0.99 + --olb=0.01:0.01:0.01:0.01:0.01:0.01:0.01:0.01:0.01:0.01:0.01 + --oub=50:50:50:50:50:50:50:50:50:50:50 + --zvecs=1 + --opt_iters=4 + --opt_tol=4 + --kernel_fun=bivariate_matern_flexible + ) +set_tests_properties(synthetic_dmle_test_bivariate_flexible + PROPERTIES ENVIRONMENT "${test_env}") + + +#Test(16): Bivariate Flexible Matern Gaussian stationary kernel in diag_approx -- double precision +add_test(NAME synthetic_dmle_test_bivariate_flexible_diag_approx + COMMAND numactl --interleave=all + ./synthetic_dmle_test + --test + --N=8100 + --dts=320 + --ncores=${NUMBER_OF_CPU} + --computation=diag_approx + --kernel=?:?:?:?:?:?:?:?:?:?:? + --ikernel=0.3:0.6:0.01:0.3:0.9:0.9:0.05:0.3:1.5:0.9:0.99 + --olb=0.01:0.01:0.01:0.01:0.01:0.01:0.01:0.01:0.01:0.01:0.01 + --oub=50:50:50:50:50:50:50:50:50:50:50 + --zvecs=1 + --opt_iters=4 + --opt_tol=4 + --diag_thick=2 + --kernel_fun=bivariate_matern_flexible + ) +set_tests_properties(synthetic_dmle_test_bivariate_flexible_diag_approx + PROPERTIES ENVIRONMENT "${test_env}") + + +#Test(17): Univariate space-time Matern Gaussian stationary kernel in exact -- double precision +add_test(NAME synthetic_dmle_test_space_time + COMMAND numactl --interleave=all + ./synthetic_dmle_test + --test + --N=1600 + --dts=320 + --ncores=${NUMBER_OF_CPU} + --computation=exact + --kernel=?:?:?:?:?:?:0 + --ikernel=1:1:0.1:0.5:0.5:0.1:0 + --olb=0.1:0.1:0.1:0.1:0.1:0.1:0 + --oub=5:5:5:5:5:5:0 + --zvecs=1 + --opt_iters=4 + --opt_tol=20 + --kernel_fun=univariate_spacetime_matern_stationary + --dim=st + --time_slots=5 + ) +set_tests_properties(synthetic_dmle_test_space_time + PROPERTIES ENVIRONMENT "${test_env}") + +#Test(18): Trivariate Parsimonious Matern Gaussian stationary kernel in exact -- double precision +add_test(NAME synthetic_dmle_test_trivariate_matern_parsimonious + COMMAND numactl --interleave=all + ./synthetic_dmle_test + --test + --N=1600 + --dts=300 + --ncores=${NUMBER_OF_CPU} + --computation=exact + --kernel=?:?:?:?:?:?:?:?:?:? + --ikernel=1:1:1:0.1:0.5:1:1.5:0.1:0.1:0 + --olb=0.1:0.1:0.1:0.1:0.1:0.1:0.1:0.1:0.1:0.1 + --oub=5:5:5:5:1:1:5:5:5:5 + --zvecs=1 + --opt_iters=8 + --opt_tol=5 + --diag_thick=2 + --kernel_fun=trivariate_matern_parsimonious + ) +set_tests_properties(synthetic_dmle_test_bivariate_parsimonious + PROPERTIES ENVIRONMENT "${test_env}") + +#Test(19): Trivariate Parsimonious Matern Gaussian stationary kernel in diag_approx -- double precision +add_test(NAME synthetic_dmle_test_trivariate_matern_parsimonious_diag_approx + COMMAND numactl --interleave=all + ./synthetic_dmle_test + --test + --N=1600 + --dts=300 + --ncores=${NUMBER_OF_CPU} + --computation=diag_approx + --kernel=?:?:?:?:?:?:?:?:?:? + --ikernel=1:1:1:0.1:0.5:1:1.5:0.1:0.1:0 + --olb=0.1:0.1:0.1:0.1:0.1:0.1:0.1:0.1:0.1:0.1 + --oub=5:5:5:5:1:1:5:5:5:5 + --zvecs=1 + --opt_iters=4 + --opt_tol=5 + --diag_thick=2 + --kernel_fun=trivariate_matern_parsimonious + ) +set_tests_properties(synthetic_dmle_test_trivariate_matern_parsimonious_diag_approx + PROPERTIES ENVIRONMENT "${test_env}") + + +#Test(20): Trivariate Parsimonious Matern Gaussian stationary kernel in dense (optimization with profiling) -- double precision +add_test(NAME synthetic_dmle_test_trivariate_matern_parsimonious_profile + COMMAND numactl --interleave=all + ./synthetic_dmle_test + --test + --N=8100 + --dts=300 + --ncores=${NUMBER_OF_CPU} + --computation=exact + --kernel=?:?:?:?:?:?:?:?:?:? + --ikernel=1:1:1:0.1:0.5:1:1.5:0.1:0.1:0 + --olb=0.1:0.1:0.1:0.1:0.1:0.1:0.1:0.1:0.1:0.1 + --oub=5:5:5:5:1:1:5:5:5:5 + --zvecs=1 + --opt_iters=5 + --opt_tol=5 + --kernel_fun=trivariate_matern_parsimonious_profile + ) +set_tests_properties(synthetic_dmle_test_trivariate_matern_parsimonious_profile + PROPERTIES ENVIRONMENT "${test_env}") + +#Test(21): Univariate Gaussian non-stationary kernel in dense -- double precision +add_test(NAME synthetic_dmle_test_univariate_matern_non_stat + COMMAND numactl --interleave=all + ./synthetic_dmle_test + --test + --N=6400 + --dts=360 + --ncores=${NUMBER_OF_CPU} + --computation=exact + --kernel=?:?:?:?:?:?:?:?:? + --ikernel=0.04:1.57:0.33:-1:0.8:0.1:-0.5:0.5 + --olb=0.01:0.01:0.01:0.01:0.01:0.01:0.01:0.01 + --oub=5:5:5:5:5:5:5:5 + --zvecs=1 + --opt_iters=1 + --opt_tol=4 + --kernel_fun=univariate_matern_non_stat + ) +set_tests_properties(synthetic_dmle_test_univariate_matern_non_stat + PROPERTIES ENVIRONMENT "${test_env}") + +#Test(22): Univariate non-Gaussian stationary kernel in dense -- double precision +add_test(NAME synthetic_dmle_test_univariate_matern_non_gaussian + COMMAND numactl --interleave=all + ./synthetic_dmle_test + --test + --N=6400 + --dts=320 + --ncores=${NUMBER_OF_CPU} + --computation=exact + --kernel=?:?:?:?:?:? + --ikernel=7.0711:1:0:2:0:0 + --olb=0.01:0.01:-5:0.1:-2:0 + --oub=15:5:5:5:2:2 + --zvecs=1 + --opt_iters=1 + --opt_tol=5 + --kernel_fun=univariate_matern_non_gaussian + ) +set_tests_properties(synthetic_dmle_test_univariate_matern_non_gaussian + PROPERTIES ENVIRONMENT "${test_env}") + +#Test(23): Univariate non-Gaussian stationary kernel in diag_approx -- double precision +#add_test(NAME synthetic_dmle_test_univariate_matern_non_gaussian_diag_approx +# COMMAND numactl --interleave=all +# ./synthetic_dmle_test +# --test +# --N=6400 +# --dts=320 +# --ncores=${NUMBER_OF_CPU} +# --computation=diag_approx +# --kernel=?:?:?:?:?:? +# --ikernel=7.0711:1:0:2:0:0 +# --olb=0.01:0.01:-5:0.1:-2:0 +# --oub=15:5:5:5:2:2 +# --zvecs=1 +# --opt_iters=1 +# --opt_tol=5 +# --diag_thick=2 +# --kernel_fun=univariate_matern_non_gaussian +# ) +#set_tests_properties(synthetic_dmle_test_univariate_matern_non_gaussian_diag_approx +# PROPERTIES ENVIRONMENT "${test_env}") + +if (EXAGEOSTAT_USE_HICMA) + #Test(24): Univariate non-Gaussian stationary kernel in lr_approx -- double precision + add_test(NAME synthetic_dmle_test_univariate_matern_non_gaussian_lr_approx + COMMAND numactl --interleave=all + ./synthetic_dmle_test + --test + --N=6400 + --dts=320 + --ncores=1 + --computation=lr_approx + --kernel=7.0711:1:0:2:0:0 + --ikernel=7.0711:1:0:2:0:0 + --olb=0.01:0.01:-5:0.1:-2:0 + --oub=15:5:5:5:2:2 + --zvecs=1 + --opt_iters=1 + --opt_tol=5 + --acc=7 + --lts=512 + --maxrank=200 + --kernel_fun=univariate_matern_non_gaussian + ) + set_tests_properties(synthetic_dmle_test_univariate_matern_non_gaussian_lr_approx + PROPERTIES ENVIRONMENT "${test_env}") +endif () diff --git a/examples/examples.c b/examples/examples.c index baba6a3..5758233 100644 --- a/examples/examples.c +++ b/examples/examples.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020, King Abdullah University of Science and Technology + * Copyright (c) 2017-2023, King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -9,318 +9,311 @@ * * @file examples.c * - * * - * @version 1.0.0 + * + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2020-01-19 + * @date 2022-11-09 * - **/ + **/ #include "examples.h" +output results; void set_args_default(arguments *arg_values) - //! set default values for input - /*! arguments - * @param[in] arg_values: user arguments - * */ +//! set default values for input +/*! arguments + * @param[in] arg_values: user arguments + * */ { - arg_values->test = 0; - arg_values->check = 0; - arg_values->verbose = 0; - arg_values->zvecs = "1"; - arg_values->computation = "exact"; - arg_values->async = 0; - arg_values->kernel = ""; - arg_values->ikernel = ""; - arg_values->ncores = "1"; - arg_values->gpus = "0"; - arg_values->p = "1"; - arg_values->q = "1"; - arg_values->N = "0"; - arg_values->lts = "0"; - arg_values->dts = "0"; - arg_values->locs_file = ""; - arg_values->obs_dir = ""; - arg_values->obs_dir2 = ""; - arg_values->actualZ_file =""; - arg_values->actualZloc_file = ""; - arg_values->predict = "0"; - arg_values->dm = "ed"; - arg_values->diag_thick = "1"; - arg_values->log = 0; - arg_values->maxrank = "0"; - arg_values->acc = "0"; - arg_values->profile = 0; - arg_values->opt_tol = "5"; - arg_values->opt_max_iters = "-1"; - arg_values->ooc = 0; - // arg_values->precision = "0"; - arg_values->kernel_fun = "univariate_matern_stationary"; - arg_values->mloe_mmom = 0; - arg_values->mloe_mmom_async = 0; - arg_values->mspe = 0; - arg_values->test = 0; - arg_values->check = 0; - arg_values->verbose = 0; - arg_values->zvecs = "1"; - arg_values->computation = "exact"; - arg_values->computation = "matern"; - arg_values->async = 0; - arg_values->kernel = ""; - arg_values->ikernel = ""; - arg_values->ncores = "1"; - arg_values->gpus = "0"; - arg_values->p = "1"; - arg_values->q = "1"; - arg_values->N = "0"; - arg_values->lts = "0"; - arg_values->dts = "0"; - arg_values->locs_file = ""; - arg_values->obs_dir = ""; - arg_values->actualZ_file =""; - arg_values->actualZ_file2 =""; - arg_values->actualZloc_file = ""; - arg_values->predict = "0"; - arg_values->dm = "ed"; - arg_values->diag_thick = "1"; - arg_values->log = 0; - arg_values->maxrank = "0"; - arg_values->acc = "0"; - arg_values->profile = 0; - arg_values->opt_tol = "5"; - arg_values->opt_max_iters = "-1"; - arg_values->ooc = 0; - arg_values->recovery_file = ""; - arg_values->checkpoint_file = ""; - arg_values->dim = "2d"; - arg_values->time_slots = "0"; - arg_values->idw = 0; - // arg_values->precision = "0"; + arg_values->test = 0; + arg_values->check = 0; + arg_values->verbose = 0; + arg_values->zvecs = "1"; + arg_values->computation = "exact"; + arg_values->async = 0; + arg_values->kernel = ""; + arg_values->ikernel = ""; + arg_values->ncores = "1"; + arg_values->gpus = "0"; + arg_values->p = "1"; + arg_values->q = "1"; + arg_values->N = "0"; + arg_values->lts = "0"; + arg_values->dts = "0"; + arg_values->locs_file = ""; + arg_values->obs_dir = ""; + arg_values->obs_dir2 = ""; + arg_values->actualZ_file = ""; + arg_values->actualZloc_file = ""; + arg_values->predict = "0"; + arg_values->dm = "ed"; + arg_values->diag_thick = "1"; + arg_values->log = 0; + arg_values->maxrank = "0"; + arg_values->acc = "0"; + arg_values->profile = 0; + arg_values->opt_tol = "5"; + arg_values->opt_max_iters = "-1"; + arg_values->ooc = 0; + arg_values->kernel_fun = "univariate_matern_stationary"; + arg_values->mloe_mmom = 0; + arg_values->mloe_mmom_async = 0; + arg_values->mspe = 0; + arg_values->test = 0; + arg_values->check = 0; + arg_values->verbose = 0; + arg_values->zvecs = "1"; + arg_values->computation = "exact"; + arg_values->computation = "matern"; + arg_values->async = 0; + arg_values->kernel = ""; + arg_values->ikernel = ""; + arg_values->ncores = "1"; + arg_values->gpus = "0"; + arg_values->p = "1"; + arg_values->q = "1"; + arg_values->N = "0"; + arg_values->lts = "0"; + arg_values->dts = "0"; + arg_values->locs_file = ""; + arg_values->obs_dir = ""; + arg_values->actualZ_file = ""; + arg_values->actualZ_file2 = ""; + arg_values->actualZloc_file = ""; + arg_values->predict = "0"; + arg_values->dm = "ed"; + arg_values->diag_thick = "1"; + arg_values->log = 0; + arg_values->maxrank = "0"; + arg_values->acc = "0"; + arg_values->profile = 0; + arg_values->opt_tol = "5"; + arg_values->opt_max_iters = "-1"; + arg_values->ooc = 0; + arg_values->recovery_file = ""; + arg_values->checkpoint_file = ""; + arg_values->dim = "2d"; + arg_values->time_slots = "0"; + arg_values->idw = 0; } void check_args(arguments *arg_values) { - //! check values for input - /*! arguments - * @param[in] arg_values: user arguments - * */ - if (arg_values->test == 0) { - if (strcmp(arg_values->locs_file,"") == 0 || strcmp(arg_values->obs_dir, "") == 0) { - fprintf(stdout, "(ExaGeoStat Error MSG): Real running mode requires both locs_file and obs_dir path.... \nExaGeoStat terminated \n\n"); - exit(EXIT_FAILURE); - } - } - else { - if (strcmp(arg_values->locs_file,"") != 0 || strcmp(arg_values->obs_dir, "") != 0) - fprintf(stdout, "(ExaGeoStat Warning MSG): Test running mode does not require locs_file and obs_dir paths, any will be ignored-> continue running...\n"); - } - -// if(strcmp(arg_values->computation,"exact") != 0) { -// fprintf(stdout, "(ExaGeoStat Error MSG): approximation is not supported yet, please use only exact computation for now.... \nExaGeoStat terminated \n\n"); -// exit(EXIT_FAILURE); -// } -// if (atoi(arg_values->predict) == 0) { -// if (strcmp(arg_values->actualZ_file,"") != 0 || strcmp(arg_values->actualZloc_file,"") != 0) -// fprintf(stdout, "(ExaGeoStat Warning MSG): Test running mode does not require actualZ_file and actualZloc_file paths, any will be ignored-> continue running...\n"); -// } + //! check values for input + /*! arguments + * @param[in] arg_values: user arguments + * */ + if (arg_values->test == 0) { + if (strcmp(arg_values->locs_file, "") == 0 || strcmp(arg_values->obs_dir, "") == 0) { + fprintf(stdout, + "(ExaGeoStat Error MSG): Real running mode requires both locs_file and obs_dir path.... \nExaGeoStat terminated \n\n"); + exit(EXIT_FAILURE); + } + } else { + if (strcmp(arg_values->locs_file, "") != 0 || strcmp(arg_values->obs_dir, "") != 0) + fprintf(stdout, + "(ExaGeoStat Warning MSG): Test running mode does not require locs_file and obs_dir paths, any will be ignored-> continue running...\n"); + } } -void init(int *test, int *N, int *ncores, int *gpus, int *p_grid, int *q_grid, int *zvecs, int *dts,int *lts, int *nZmiss, int *log, double *initial_theta, double *starting_theta, double *target_theta, double *lb, double *ub, MLE_data *data, arguments *arguments) - //! initialize exageostat by setting several - /*! variables from argument - * Returns MLE_data struct. - * @param[in] arguments: command line arguments. - * @param[out] test: if test=1 ->test running mode if test=0->real running mode. - * @param[out] N: number of spatial locations (problem size). - * @param[out] ncores: number of CPU computing units. - * @param[out] gpus: number of GPU computing units. - * @param[out] p_grid: p_grid in the case of distributed system. - * @param[out] q_grid: q_grid in the case of distributed system. - * @param[out] zvecs: the number of Z vectors that should be generated in the case of test running mode. - * @param[out] dts: dense tile size. - * @param[out] lts: TLR tile size. - * @param[out] nZmiss: number of unknown observation to be predicted in the case of test running mode. - * @param[out] log: determine if log files should be generated or not (log files stored on disk) - * @param[out] initial_theta: initial_theta Vector with three parameter (Variance, Range, Smoothness) - that is used to to generate the Covariance Matrix and initial Z vector. - * @param[out] starting_theta: theta Vector with three parameter (Variance, Range, Smoothness) - that is used to to generate the Covariance Matrix of the first MLE iteration. - * @param[out] target_theta: target theta Vector with three parameter (Variance, Range, Smoothness) unknown theta parameter should be shown as '?' - * @param[out] lb: optimization lower bounds vector ( lb_1, lb_2, lb_3). - * @param[out] ub: optimization upper bounds vector ( ub_1, ub_2, ub_3). - * @param[out] data: MLE_data struct with different MLE inputs. - * @param[out] arguments: command line arguments. - * */ +void +init(int *test, int *N, int *ncores, int *gpus, int *p_grid, int *q_grid, int *zvecs, int *dts, int *lts, int *nZmiss, + int *log, double* initial_theta, double* starting_theta, double* target_theta, double* lb, double* ub, + MLE_data *data, arguments *arguments) +//! initialize exageostat by setting several +/*! variables from argument + * Returns MLE_data struct. + * @param[in] arguments: command line arguments. + * @param[out] test: if test=1 ->test running mode if test=0->real running mode. + * @param[out] N: number of spatial locations (problem size). + * @param[out] ncores: number of CPU computing units. + * @param[out] gpus: number of GPU computing units. + * @param[out] p_grid: p_grid in the case of distributed system. + * @param[out] q_grid: q_grid in the case of distributed system. + * @param[out] zvecs: the number of Z vectors that should be generated in the case of test running mode. + * @param[out] dts: dense tile size. + * @param[out] lts: TLR tile size. + * @param[out] nZmiss: number of unknown observation to be predicted in the case of test running mode. + * @param[out] log: determine if log files should be generated or not (log files stored on disk) + * @param[out] initial_theta: initial_theta Vector with three parameter (Variance, Range, Smoothness) + that is used to to generate the Covariance Matrix and initial Z vector. + * @param[out] starting_theta: theta Vector with three parameter (Variance, Range, Smoothness) + that is used to to generate the Covariance Matrix of the first MLE iteration. + * @param[out] target_theta: target theta Vector with three parameter (Variance, Range, Smoothness) unknown theta parameter should be shown as '?' + * @param[out] lb: optimization lower bounds vector ( lb_1, lb_2, lb_3). + * @param[out] ub: optimization upper bounds vector ( ub_1, ub_2, ub_3). + * @param[out] data: MLE_data struct with different MLE inputs. + * @param[out] arguments: command line arguments. + * */ { - - init_data_values(data); - int i = 0; - int num_params = 0; - *test = arguments->test; - *ncores = atoi(arguments->ncores); - *gpus = atoi(arguments->gpus); - *p_grid = atoi(arguments->p); - *q_grid = atoi(arguments->q); - *N = atoi( arguments->N); - *zvecs = atoi(arguments->zvecs); - *dts = atoi(arguments->dts); - *lts = atoi(arguments->lts); - *nZmiss = atoi(arguments->predict); - *log = arguments->log; - data->computation = arguments->computation;// exact or approx. - //data->c_fun = arguments->c_fun;// matern or pow-exp. - data->async = arguments->async; // 0-->tile 1-->tile_async. - data->locsFPath = arguments->locs_file; - data->obsFPath = arguments->obs_dir; - data->obsFPath2 = arguments->obs_dir2; - data->actualZFPath = arguments->actualZ_file; - data->actualZFPath2 = arguments->actualZ_file2; - data->actualZLocFPath = arguments->actualZloc_file; - data->dm = arguments->dm; - data->diag_thick = atoi(arguments->diag_thick); - data->log = arguments->log; - data->hicma_maxrank = atoi(arguments->maxrank); - data->hicma_acc = atof(arguments->acc); - data->check = arguments->check; - data->verbose = arguments->verbose; - data->opt_tol = atoi(arguments->opt_tol); - data->opt_max_iters = atoi(arguments->opt_max_iters); - data->ooc = arguments->ooc; - data->mloe_mmom = arguments->mloe_mmom; - data->mloe_mmom_async = arguments->mloe_mmom_async; - data->mspe = arguments->mspe; - data->idw = arguments->idw; - data->recovery_file = arguments->recovery_file; - data->checkpoint_file = arguments->checkpoint_file; - printf("%d\n", arguments->time_slots); - - data->time_slots = atoi(arguments->time_slots); - // data->precision = atoi(arguments->precision);// double, sinlge, or mixed. - //data->l2 = data->l1; - data->kernel_fun = arguments->kernel_fun; - //should be improved - location l; - l.x = (double *) malloc(sizeof(double)); - l.y = (double *) malloc(sizeof(double)); - l.x[0] = 0.5; - l.y[0] = 0.5; - data->lm = l; - //**************************************** - - if(strcmp(data->kernel_fun, "univariate_matern_stationary") == 0 || strcmp(data->kernel_fun, "univariate_pow_exp_stationary") == 0) - num_params = 3; - else if(strcmp(data->kernel_fun, "univariate_matern_nuggets_stationary") == 0) - num_params = 4; - else if(strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) - num_params = 9; - else if(strcmp(data->kernel_fun, "bivariate_matern_flexible") == 0) - num_params = 11; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0) - num_params = 6; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0) - num_params = 6; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) - num_params = 6; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) - num_params = 6; - else if(strcmp(data->kernel_fun, "univariate_spacetime_matern_stationary") == 0) - num_params = 7; - else - { - fprintf(stderr,"Choosen kernel is not exist(6)!\n"); - fprintf(stderr, "Called function is: %s\n",__func__); - exit(0); - } - - theta_parser2(lb, arguments->olb, num_params); - theta_parser2(ub, arguments->oub, num_params); - - - if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0 || strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) - { - lb[0] = ub[0] = 1; - lb[1] = ub[1] = 1; - } - //multiplicative scale -remove it for now to apply non-stationary kernel - // lb[0] = ub[0] = 1; - - for(i=0; ikernel_fun, "bivariate_matern_parsimonious") == 0 || - strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || - strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0 || - strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) - { - starting_theta[0] = 1; - starting_theta[1] = 1; - starting_theta[2] = 0.2; - starting_theta[3] = 1; - starting_theta[4] = 1; - starting_theta[5] = 0.22; - } - if(strcmp(data->kernel_fun, "univariate_matern_stationary") == 0) - { - - starting_theta[0] = 0.8; - starting_theta[1] = 70; - starting_theta[2] = 2; - - } - */ - theta_parser(initial_theta, target_theta, starting_theta, arguments->ikernel, arguments->kernel, lb, ub, *test, num_params); - - - //fill results value - results.problem_size = *N; - - results.computation = malloc(strlen(data->computation) + 1); - strcpy(results.computation, data->computation); - - results.kernel = malloc(strlen(data->kernel_fun) + 1); - strcpy(results.kernel, data->kernel_fun); - - if(*test == 1) - results.ds_type = "test"; - else - results.ds_type = "real"; - - if(data->precision == 0) - results.precision = "double"; - else if(data->precision == 1) - results.precision = "single"; - else if(data->precision == 2) - results.precision = "double/single"; - - results.dense_ts = *dts; - - results.lr_ts= *lts; - - results.ncores = *ncores; - - results.ngpus = *gpus; - - results.p = *p_grid; - - results.q = *q_grid; - - results.num_params = num_params; - - - results.initial_theta = (double *) malloc(num_params * sizeof(double)); - results.starting_theta = (double *) malloc(num_params * sizeof(double)); - results.estimated_theta = (double *) malloc(num_params * sizeof(double)); - - for(i=0; ihicma_maxrank; - results.lr_maxrank= data->hicma_acc; - + init_data_values(data); + int i = 0; + int num_params = 0; + *test = arguments->test; + *ncores = atoi(arguments->ncores); + *gpus = atoi(arguments->gpus); + *p_grid = atoi(arguments->p); + *q_grid = atoi(arguments->q); + *N = atoi(arguments->N); + *zvecs = atoi(arguments->zvecs); + *dts = atoi(arguments->dts); + *lts = atoi(arguments->lts); + *nZmiss = atoi(arguments->predict); + *log = arguments->log; + data->computation = arguments->computation;// exact or approx. + data->async = arguments->async; // 0-->tile 1-->tile_async. + data->locsFPath = arguments->locs_file; + data->obsFPath = arguments->obs_dir; + data->obsFPath2 = arguments->obs_dir2; + data->obsFPath3 = arguments->obs_dir3; + data->actualZFPath = arguments->actualZ_file; + data->actualZFPath2 = arguments->actualZ_file2; + data->actualZFPath3 = arguments->actualZ_file3; + data->actualZLocFPath = arguments->actualZloc_file; + data->timeFPath = arguments->time_file; + data->actualTimeFPath = arguments->actualtime_file; + data->dm = arguments->dm; + data->diag_thick = atoi(arguments->diag_thick); + data->log = arguments->log; + data->hicma_maxrank = atoi(arguments->maxrank); + data->hicma_acc = atof(arguments->acc); + data->check = arguments->check; + data->verbose = arguments->verbose; + data->opt_tol = atoi(arguments->opt_tol); + data->opt_max_iters = atoi(arguments->opt_max_iters); + data->ooc = arguments->ooc; + + data->mloe_mmom = arguments->mloe_mmom; + data->mloe_mmom_async = arguments->mloe_mmom_async; + data->mspe = arguments->mspe; + data->idw = arguments->idw; + data->fisher = arguments->fisher; + data->mloe_mmom = arguments->mloe_mmom; + data->mloe_mmom_async = arguments->mloe_mmom_async; + data->mspe = arguments->mspe; + data->idw = arguments->idw; + data->recovery_file = arguments->recovery_file; + data->checkpoint_file = arguments->checkpoint_file; + + data->time_slots = atoi(arguments->time_slots); + data->kernel_fun = arguments->kernel_fun; + //should be improved + location l; + l.x = (double* ) malloc(sizeof(double)); + l.y = (double* ) malloc(sizeof(double)); + l.x[0] = 0.5; + l.y[0] = 0.5; + data->lm = l; + //**************************************** + + if (strcmp(data->kernel_fun, "univariate_matern_stationary") == 0 || + strcmp(data->kernel_fun, "univariate_pow_exp_stationary") == 0) + num_params = 3; + else if (strcmp(data->kernel_fun, "univariate_matern_nuggets_stationary") == 0) + num_params = 4; + else if (strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) + num_params = 9; + else if (strcmp(data->kernel_fun, "bivariate_matern_flexible") == 0) + num_params = 11; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0) + num_params = 6; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0) + num_params = 6; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) + num_params = 6; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) + num_params = 6; + else if (strcmp(data->kernel_fun, "univariate_spacetime_matern_stationary") == 0) + num_params = 7; + else if (strcmp(data->kernel_fun, "bivariate_spacetime_matern_stationary") == 0) + num_params = 10; + else if (strcmp(data->kernel_fun, "trivariate_matern_parsimonious") == 0 || + strcmp(data->kernel_fun, "trivariate_matern_parsimonious_profile") == 0) + num_params = 10; + else if (strcmp(data->kernel_fun, "univariate_matern_non_stat") == 0) + num_params = 8; + else if (strcmp(data->kernel_fun, "univariate_matern_non_gaussian") == 0 || + strcmp(data->kernel_fun, "univariate_exp_non_gaussian") == 0) + num_params = 6; + else { + fprintf(stderr, "Choosen kernel is not exist(6)!\n"); + fprintf(stderr, "Called function is: %s\n", __func__); + exit(0); + } + + theta_parser2(lb, arguments->olb, num_params); + theta_parser2(ub, arguments->oub, num_params); + + + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { + lb[0] = ub[0] = 1; + lb[1] = ub[1] = 1; + } else if (strcmp(data->kernel_fun, "trivariate_matern_parsimonious_profile") == 0) { + lb[0] = ub[0] = 1; + lb[1] = ub[1] = 1; + lb[2] = ub[2] = 1; + } + + for (i = 0; i < num_params; i++) + starting_theta[i] = lb[i];//(double)abs(lb[i])+(double)abs(ub[i])/2.0; + + theta_parser(initial_theta, target_theta, starting_theta, arguments->ikernel, arguments->kernel, lb, ub, *test, + num_params); + + //fill results value + results.problem_size = *N; + + results.computation = malloc(strlen(data->computation) + 1); + strcpy(results.computation, data->computation); + + results.kernel = malloc(strlen(data->kernel_fun) + 1); + strcpy(results.kernel, data->kernel_fun); + + if (*test == 1) + results.ds_type = "test"; + else + results.ds_type = "real"; + + if (data->precision == 0) + results.precision = "double"; + else if (data->precision == 1) + results.precision = "single"; + else if (data->precision == 2) + results.precision = "double/single"; + + results.dense_ts = *dts; + + results.lr_ts = *lts; + + results.ncores = *ncores; + + results.ngpus = *gpus; + + results.p = *p_grid; + + results.q = *q_grid; + + results.num_params = num_params; + + + results.initial_theta = (double* ) malloc(num_params * sizeof(double)); + results.starting_theta = (double* ) malloc(num_params * sizeof(double)); + results.estimated_theta = (double* ) malloc(num_params * sizeof(double)); + + for (i = 0; i < num_params; i++) + results.initial_theta[i] = initial_theta[i];//(double)abs(lb[i])+(double)abs(ub[i])/2.0; + + for (i = 0; i < num_params; i++) + results.starting_theta[i] = starting_theta[i];//(double)abs(lb[i])+(double)abs(ub[i])/2.0; + + results.lr_acc = data->hicma_maxrank; + results.lr_maxrank = data->hicma_acc; + + + results.lr_acc = data->hicma_maxrank; + results.lr_maxrank = data->hicma_acc; } diff --git a/examples/examples.h b/examples/examples.h index ce4883d..cf3684b 100644 --- a/examples/examples.h +++ b/examples/examples.h @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020, King Abdullah University of Science and Technology + * Copyright (c) 2017-2023, King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,12 +11,12 @@ * * Header file of ExaGeoStat main functions. * - * @version 1.0.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2020-01-19 + * @date 2021-07-28 * - **/ + **/ #ifndef _EXAGEOSTAT_EXAMPLES_H_ #define _EXAGEOSTAT_EXAMPLES_H_ @@ -28,262 +28,276 @@ /** **************************************************************************** * EXAGEOSTAT arguments uniquely identifies a set of input arguments **/ -typedef struct -{ - int test; ///< The -t flag -- use testing mode (Synthetic Dataset Generator). - int check ; ///< The -c flag -- use check mode (in the case of approximation only). - char *zvecs ; ///< The number of Z vectors to be tested. - int verbose; ///< The -v flag -- verbose mode. - char *ncores; ///< Number of CPU cores. - char *gpus; ///< Number of GPUs. - char *N; ///< Problem size -- Only in the case of testing mode. - char *p; ///< P in distributed grid. - char *q; ///< q in distributed grid. - char *lts; ///< HiCMA tile size. - char *dts; ///< Chameleon tile size. - char *kernel; ///< Target theta vector output (ex., ?:?:?). - char *ikernel; ///< Initial theta vector -- Only in the case of testing mode (ex., 1:0.1:0.5). - char *olb; ///< Optimizer lower bounds vector (ex., 0.1:0.01:0.01). - char *oub; ///< Optimizer upper bounds vector (ex., 5:5:5). - char *computation; ///< Approx or exact. - //char *c_fun; ///< matern or power-exp --- covariance function to be used. - int async; ///< 0--> tile 1--> tile_async.The --async flag. - char *locs_file; ///< Locations file path -- in the case of real dataset (real mode). - char *obs_dir; ///< Observations file path -- in the case of real dataset (real mode). - char *obs_dir2; ///< Observations file path2 (bivariate case) -- in the case of real dataset (real mode). - char *actualZ_file; ///< Actual observations file path -- in the case of prediction. - char *actualZ_file2; ///< Actual observations file path -- in the case of prediction. - char *actualZloc_file; ///< Actial locations file path -- in the case of prediction. - char *predict; ///< Number of missing values -- in the case of testing mode. - char *dm; ///< Distance metric to be used ed->Euclidian Distance -- gcd->Greate Circle Distance. - char *diag_thick; ///< The thick of used diagonal in the case of diagonal approximation approch. - int log; ///< Generate log files -- 0->do not store generated data, 1-->store generated data. - char *maxrank; ///< Max Rank in the case of LR-HiCMA approx. - char *acc; ///< Accuracy in the case of LR-HiCMA approx. - int profile; ///< profiling the performance of exageostat using FxT. - char *opt_tol; ///< The parameter tol is a tolerance that is used for the purpose of stopping criteria only. - char *opt_max_iters; ///< Maximum number of mle iterations. - int ooc; ///< Support Out-Of-Core (OOC) -- 0->do not support, 1-->support. - char *kernel_fun; ///< Stationary_matern, or non_stationary_matern. - //char *precision; ///< Double, Single, and Mixed. - int mloe_mmom; ///< Use MLOE and MMOM - int mloe_mmom_async; ///< Use MLOE and MMOM Async - int mspe; ///>compute mspe. - int idw; /// tile 1--> tile_async.The --async flag. + char *locs_file; ///< Locations file path -- in the case of real dataset (real mode). + char *time_file; ///< Time file path -- in the case of real dataset (real mode -- space-time kernel). + char *obs_dir; ///< Observations file path -- in the case of real dataset (real mode). + char *obs_dir2; ///< Observations file path2 (bivariate case) -- in the case of real dataset (real mode). + char *obs_dir3; ///< Observations file path3 (bivariate case) -- in the case of real dataset (real mode). + char *actualZ_file; ///< Actual observations file path -- in the case of prediction. + char *actualZ_file2; ///< Actual observations file path -- in the case of prediction. + char *actualZ_file3; ///< Actual observations file path -- in the case of prediction. + char *actualZloc_file; ///< Actual locations file path -- in the case of prediction. + char *actualtime_file; ///< Actual time file path -- in the case of prediction (space-time kernel). + char *predict; ///< Number of missing values -- in the case of testing mode. + char *dm; ///< Distance metric to be used ed->Euclidian Distance -- gcd->Greate Circle Distance. + char *diag_thick; ///< The thick of used diagonal in the case of diagonal approximation approch. + int log; ///< Generate log files -- 0->do not store generated data, 1-->store generated data. + char *maxrank; ///< Max Rank in the case of LR-HiCMA approx. + char *acc; ///< Accuracy in the case of LR-HiCMA approx. + int profile; ///< profiling the performance of exageostat using FxT. + char *opt_tol; ///< The parameter tol is a tolerance that is used for the purpose of stopping criteria only. + char *opt_max_iters; ///< Maximum number of mle iterations. + int ooc; ///< Support Out-Of-Core (OOC) -- 0->do not support, 1-->support. + char *kernel_fun; ///< Stationary_matern, or non_stationary_matern. + int mloe_mmom; ///< Use MLOE and MMOM + int mloe_mmom_async; ///< Use MLOE and MMOM Async + int mspe; ///>compute mspe. + int idw; ///input; + { + {"test", 'a', 0, 0, "Execute in test mode"}, + {"check", 'b', 0, 0, "Produce check output"}, + {"zvecs", 'c', "ZVECS", 0, "number of Z vectors to be tested"}, + {"verbose", 'd', 0, 0, "Produce verbose output"}, + {"ncores", 'e', "NCORES", 0, "Number of cores"}, + {"gpus", 'f', "GPUS", 0, "Number of gpus"}, + {"p", 'g', "P", 0, "p in distributed system"}, + {"q", 'h', "Q", 0, "q in distributed system"}, + {"N", 'i', "MATRIX_SIZE", 0, "Synthetic Matrix Size"}, + {"lts", 'j', "HICMA_TILE_SIZE", 0, "Number of tiles in TLR"}, + {"dts", 'k', "Chameleon_TILE_SIZE", 0, "Number of Tiles in dense"}, + {"kernel", 'l', "KERNEL", 0, "Computation model"}, + {"ikernel", 'm', "IKERNEL", 0, "Initial theta(s) used for testing case generation"}, + {"olb", 'n', "LB", 0, "Optimizer Lower Bounds"}, + {"oub", 'o', "UB", 0, "Optimizer Upper Bounds"}, + {"computation", 'p', "COMPUTATION", 0, "Exact or Approx"}, + {"async", 'q', 0, 0, "Asynchronous"}, + {"locs_file", 'r', "LOCATIONS_FILE", 0, "Read Locations from this Location File"}, + {"obs_dir", 's', "OBSERVATIONS_DIRECTORY", 0, "Read Observations from this directory path"}, + {"obs_dir2", 't', "OBSERVATIONS_DIRECTORY2", 0, "Read Observations from this directory path"}, + {"actualZ_file", 'u', "ACTUALZ_FILE", 0, "Read actual Z from this observation file"}, + {"actualZ_file2", 'v', "ACTUALZ2_FILE", 0, "Read actual Z from this observation file2"}, + {"actualZloc_file", 'w', "ACTUALZLOC_FILE", 0, "Read actual Z locations from this location file"}, + {"predict", 'x', "PREDICT", 0, "Number of Missing Values"}, + {"dm", 'y', "DISTANCE_METRIC", 0, "Distance Metric"}, + {"diag_thick", 'z', "DIAG_THICK", 0, "Diagonal Thick"}, + {"log", 'A', 0, 0, "Store Generated Data (Test mode only)"}, + {"maxrank", 'B', "MAXRANK", 0, "HiCMA Max RANK"}, + {"acc", 'C', "ACC", 0, "HiCMA Accuracy"}, + {"profile", 'D', 0, 0, "Performance profiling"}, + {"opt_tol", 'E', "OPTIMIZATION_TOLERANCE", 0, "Optimization tolerance"}, + {"opt_iters", 'F', "OPTIMIZATION_MAX_ITERS", 0, "Optimization maximum iterations"}, + {"ooc", 'G', 0, 0, "Support Out-Of-Core (OOC) execution"}, + {"kernel_fun", 'H', "Core Kernel", 0, "stationary_matern or nonstationary_matern or bivariate_kernel"}, + {"mloe_mmom", 'I', 0, 0, "use_mloe_mmom"}, + {"mloe_mmom_async", 'J', 0, 0, "use_mloe_mmom_async"}, + {"mspe", 'K', 0, 0, "use_mspe"}, + {"checkpoint_file", 'L', "CHECKPOINT_FILE", 0, "Checkpoint parameters to"}, + {"recovery_file", 'M', "RECOVERY_FILE", 0, "Recover parameters from"}, + {"dim", 'N', "DIMENSION", 0, "Dimension"}, + {"time_slots", 'O', "TIME_SLOT", 0, "time slots"}, + {"idw", 'P', 0, 0, "inverse distance weighted (IDW)"}, + {"time_file", 'Q', "TIME_FILE", 0, "Read time slots from this time File"}, + {"actualtime_file", 'R', "ACTUALZTIME_FILE", 0, "Read actual time slots from this time file"}, + {"obs_dir3", 'S', "OBSERVATIONS_DIRECTORY3", 0, "Read Observations from this directory path"}, + {"actualZ_file3", 'T', "ACTUALZ3_FILE", 0, "Read actual Z from this observation file3"}, + {"fisher", 'U', 0, 0, "Compute Fisher matrix"}, + {0} + }; - switch (key) - { - // case 'Z': - // arguments->precision = arg; - // break; - case 'a': - arguments->test = 1; - break; - case 'b': - arguments->check = 1; - break; - case 'c': - arguments->zvecs = arg; - break; - case 'd': - arguments->verbose = 1; - break; - case 'e': - arguments->ncores = arg; //non-optional; - break; - case 'f': - arguments->gpus = arg; //non-optional; - break; - case 'g': - arguments->p = arg; //non-optional; - break; - case 'h': - arguments->q = arg; - break; - case 'i': - arguments->N = arg; - break; - case 'j': - arguments->lts = arg; //non-optional - break; - case 'k': - arguments->dts = arg; //non-optional - break; - case 'l': - arguments->kernel = arg; - break; - case 'm': - arguments->ikernel = arg; - break; - case 'n': - arguments->olb = arg; - break; - case 'o': - arguments->oub = arg; - break; - case 'p': - arguments->computation = arg; - break; - case 'q': - arguments->async = 1; - break; - case 'r': - arguments->locs_file = arg; - break; - case 's': - arguments->obs_dir = arg; - break; - case 't': - arguments->obs_dir2 = arg; - break; - case 'u': - arguments->actualZ_file = arg; - break; - case 'v': - arguments->actualZ_file2 = arg; - break; - case 'w': - arguments->actualZloc_file = arg; - break; - case 'x': - arguments->predict = arg; - break; - case 'y': - arguments->dm = arg; - break; - case 'z': - arguments->diag_thick = arg; - break; - case 'A': - arguments->log= 1; - break; - case 'B': - arguments->maxrank = arg; - break; - case 'C': - arguments->acc = arg; - break; - case 'D': - arguments->profile= 1; - break; - case 'E': - arguments->opt_tol = arg; - break; - case 'F': - arguments->opt_max_iters = arg; - break; - case 'G': - arguments->ooc= 1; - break; - case 'H': - arguments->kernel_fun = arg; - break; - case 'I': - arguments->mloe_mmom= 1; - break; - case 'J': - arguments->mloe_mmom_async= 1; - break; - case 'K': - arguments->mspe= 1; - break; - case 'L': - arguments->checkpoint_file = arg; - break; - case 'M': - arguments->recovery_file = arg; - break; - case 'N': - arguments->dim = arg; - break; - case 'O': - arguments->time_slots = arg; - break; - case 'P': - arguments->idw = 1; - break; - default: - return ARGP_ERR_UNKNOWN; - } +static error_t parse_opt(int key, char *arg, struct argp_state *state) { + arguments *arguments = state->input; + switch (key) { + case 'a': + arguments->test = 1; + break; + case 'b': + arguments->check = 1; + break; + case 'c': + arguments->zvecs = arg; + break; + case 'd': + arguments->verbose = 1; + break; + case 'e': + arguments->ncores = arg; //non-optional; + break; + case 'f': + arguments->gpus = arg; //non-optional; + break; + case 'g': + arguments->p = arg; //non-optional; + break; + case 'h': + arguments->q = arg; + break; + case 'i': + arguments->N = arg; + break; + case 'j': + arguments->lts = arg; //non-optional + break; + case 'k': + arguments->dts = arg; //non-optional + break; + case 'l': + arguments->kernel = arg; + break; + case 'm': + arguments->ikernel = arg; + break; + case 'n': + arguments->olb = arg; + break; + case 'o': + arguments->oub = arg; + break; + case 'p': + arguments->computation = arg; + break; + case 'q': + arguments->async = 1; + break; + case 'r': + arguments->locs_file = arg; + break; + case 's': + arguments->obs_dir = arg; + break; + case 't': + arguments->obs_dir2 = arg; + break; + case 'u': + arguments->actualZ_file = arg; + break; + case 'v': + arguments->actualZ_file2 = arg; + break; + case 'w': + arguments->actualZloc_file = arg; + break; + case 'x': + arguments->predict = arg; + break; + case 'y': + arguments->dm = arg; + break; + case 'z': + arguments->diag_thick = arg; + break; + case 'A': + arguments->log = 1; + break; + case 'B': + arguments->maxrank = arg; + break; + case 'C': + arguments->acc = arg; + break; + case 'D': + arguments->profile = 1; + break; + case 'E': + arguments->opt_tol = arg; + break; + case 'F': + arguments->opt_max_iters = arg; + break; + case 'G': + arguments->ooc = 1; + break; + case 'H': + arguments->kernel_fun = arg; + break; + case 'I': + arguments->mloe_mmom = 1; + break; + case 'J': + arguments->mloe_mmom_async = 1; + break; + case 'K': + arguments->mspe = 1; + break; + case 'L': + arguments->checkpoint_file = arg; + break; + case 'M': + arguments->recovery_file = arg; + break; + case 'N': + arguments->dim = arg; + break; + case 'O': + arguments->time_slots = arg; + break; + case 'P': + arguments->idw = 1; + break; + case 'Q': + arguments->time_file = arg; + break; + case 'R': + arguments->actualtime_file = arg; + break; + case 'S': + arguments->obs_dir3 = arg; + break; + case 'T': + arguments->actualZ_file3 = arg; + break; + case 'U': + arguments->fisher = 1; + break; + default: + return ARGP_ERR_UNKNOWN; + } - return 0; + return 0; } static char args_doc[] = ""; static char doc[] = -"ExaGeoStat -- A unified geospatial statistic framework to evaluate Maximum Likelihood function using both real and synthetic dataset on CHAMELEON (Dense/DST/mixed-precision) - HiCMA (TLR approximation) - )"; + "ExaGeoStat -- A unified geospatial statistic framework to evaluate Maximum Likelihood function using both real and synthetic dataset on CHAMELEON (Dense/DST/mixed-precision) - HiCMA (TLR approximation) - )"; static struct argp argp = {options, parse_opt, args_doc, doc}; -#endif +#endif \ No newline at end of file diff --git a/examples/mle_flatfile_real.c b/examples/mle_flatfile_real.c index 9b0477d..38e46a7 100644 --- a/examples/mle_flatfile_real.c +++ b/examples/mle_flatfile_real.c @@ -11,188 +11,170 @@ * * A complete example to test ExaGeoStat supported function (i.e., dataset generator, Maximum Likelihood Function (MLE), Prediction) * - * @version 1.0.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2019-08-06 + * @date 2022-11-09 * **/ #include "examples.h" #include "../src/include/MLE.h" -int main(int argc, char **argv) { - - //initialization - double * starting_theta; - double * target_theta; - double * initial_theta; //for testing case - int N, lts, dts, log; - //int i = 0; - int zvecs = 1, nZmiss = 0, test = 0, gpus = 0; - int p_grid, q_grid, ncores; - double opt_f; - arguments arguments; - nlopt_opt opt; - double *streamdata; - MLE_data data; - location *locations; - location *missing_locations; - double* lb = (double *) malloc(3 * sizeof(double)); - double* up = (double *) malloc(3 * sizeof(double)); - //int iseed[4]={0, 0, 0, 1}; - - //Arguments default values - set_args_default(&arguments); - argp_parse(&argp, argc, argv, 0, 0, &arguments); - check_args(&arguments); - - //Memory allocation - starting_theta = (double *) malloc(3 * sizeof(double)); - initial_theta = (double *) malloc(3 * sizeof(double)); - target_theta = (double *) malloc(3 * sizeof(double)); - - //MLE_data data initialization - init(&test, &N, &ncores, &gpus, &p_grid, &q_grid, &zvecs, &dts, <s, &nZmiss, &log, initial_theta, starting_theta, target_theta, lb, up, &data, &arguments); - - exageostat_init(&ncores, &gpus, &dts, <s); - - //kernel parsing - opt=nlopt_create( NLOPT_LN_BOBYQA, 3); //NLOPT_LN_BOBYQA - NLOPT_GN_ORIG_DIRECT - init_optimizer(&opt, lb, up, pow(10, -1.0 * data.opt_tol)); - nlopt_set_maxeval(opt, data.opt_max_iters); - - - //data.l1.x=(double *) malloc(N * sizeof(double)); - //data.l1.y=(double *) malloc(N * sizeof(double)); - - //Read locations from a flat file. - N = countlines(data.locsFPath); - locations = readLocsFile(data.locsFPath, N); - data.l1 = *locations; - - int nZobs = strcmp(data.actualZFPath,"") == 0? (N-nZmiss) : N; - - if(strcmp (data.computation, "exact") == 0) - MORSE_dmle_Call(&data, ncores, gpus, dts, p_grid, q_grid, N, nZobs, nZmiss); - else if (strcmp (data.computation, "diag_approx") == 0) - MORSE_dmle_diag_Call(&data, ncores, gpus, dts, p_grid, q_grid, N, nZobs, nZmiss); - #if defined(EXAGEOSTAT_USE_HICMA) - else if (strcmp (data.computation, "lr_approx") == 0) +int main(int argc, char** argv) { + + //initialization + double* starting_theta; + double* target_theta; + double* initial_theta; //for testing case + int N, lts, dts, log; + int zvecs = 1, nZmiss = 0, test = 0, gpus = 0; + int p_grid, q_grid, ncores; + double opt_f; + arguments arguments; + nlopt_opt opt; + double* streamdata; + MLE_data data; + location *locations; + location *missing_locations; + double* lb = (double* ) malloc(3 * sizeof(double)); + double* up = (double* ) malloc(3 * sizeof(double)); + + //Arguments default values + set_args_default(&arguments); + argp_parse(&argp, argc, argv, 0, 0, &arguments); + check_args(&arguments); + + //Memory allocation + starting_theta = (double* ) malloc(3 * sizeof(double)); + initial_theta = (double* ) malloc(3 * sizeof(double)); + target_theta = (double* ) malloc(3 * sizeof(double)); + + //MLE_data data initialization + init(&test, &N, &ncores, &gpus, &p_grid, &q_grid, &zvecs, &dts, <s, &nZmiss, &log, initial_theta, starting_theta, + target_theta, lb, up, &data, &arguments); + exageostat_init(&ncores, &gpus, &dts, <s); + + //kernel parsing + opt = nlopt_create(NLOPT_LN_BOBYQA, 3); //NLOPT_LN_BOBYQA - NLOPT_GN_ORIG_DIRECT + init_optimizer(&opt, lb, up, pow(10, -1.0 * data.opt_tol)); + nlopt_set_maxeval(opt, data.opt_max_iters); + + N = countlines(data.locsFPath); + locations = readLocsFile(data.locsFPath, N); + data.l1 = *locations; + + int nZobs = strcmp(data.actualZFPath, "") == 0 ? (N - nZmiss) : N; + if (strcmp(data.computation, "exact") == 0) + EXAGEOSTAT_dmle_Call(&data, ncores, gpus, dts, p_grid, q_grid, N, nZobs, nZmiss); + else if (strcmp(data.computation, "diag_approx") == 0) + EXAGEOSTAT_dmle_diag_Call(&data, ncores, gpus, dts, p_grid, q_grid, N, nZobs, nZmiss); +#if defined(EXAGEOSTAT_USE_HICMA) + else if (strcmp (data.computation, "lr_approx") == 0) { - HICMA_dmle_Call(&data, ncores, gpus, lts, p_grid, q_grid, N, nZobs, nZmiss); + EXAGEOSTAT_TLR_dmle_Call(&data, ncores, gpus, lts, p_grid, q_grid, N, nZobs, nZmiss); if (test == 1) data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT; else data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT_POINT; } - #endif - - print_summary(test, N, ncores, gpus, dts, lts, data.computation, zvecs, p_grid, q_grid, data.precision); - - if(arguments.profile == 1) - { - starpu_fxt_autostart_profiling(0); - starpu_fxt_start_profiling(); - } - //read observation file - streamdata = readObsFile(data.obsFPath, N); - locations_obs_zsort_inplace(N, locations, streamdata); - if(strcmp (data.computation, "exact") == 0 || strcmp (data.computation, "diag_approx") == 0) - MORSE_MLE_dzcpy(&data, streamdata); -#if defined(EXAGEOSTAT_USE_HICMA) - else if (strcmp (data.computation, "lr_approx") == 0) - HICMA_MLE_zcpy(&data, streamdata); #endif - if(log == 1 && test == 1) - init_log(&data); - - START_TIMING(data.total_exec_time); - nlopt_set_max_objective(opt, MLE_alg, (void *)&data); - nlopt_optimize(opt, starting_theta, &opt_f); - STOP_TIMING(data.total_exec_time); + print_summary(test, N, ncores, gpus, dts, lts, data.computation, zvecs, p_grid, q_grid, data.precision); + + if (arguments.profile == 1) { + starpu_fxt_autostart_profiling(0); + starpu_fxt_start_profiling(); + } + //read observation file + streamdata = readObsFile(data.obsFPath, N); + locations_obs_zsort_inplace(N, locations, streamdata); + if (strcmp(data.computation, "exact") == 0 || strcmp(data.computation, "diag_approx") == 0) + EXAGEOSTAT_MLE_dzcpy(&data, streamdata); +#if defined(EXAGEOSTAT_USE_HICMA) + else if (strcmp (data.computation, "lr_approx") == 0) + EXAGEOSTAT_TLR_MLE_zcpy(&data, streamdata); +#endif + if (log == 1 && test == 1) + init_log(&data); + + START_TIMING(data.total_exec_time); + nlopt_set_max_objective(opt, MLE_alg, (void *) &data); + nlopt_optimize(opt, starting_theta, &opt_f); + STOP_TIMING(data.total_exec_time); + double prediction_error = 0.0; + print_result(&data, starting_theta, N, zvecs, ncores, dts, test, arguments.ikernel, data.computation, p_grid, + q_grid, data.final_loglik, prediction_error); + if (strcmp(data.actualZLocFPath, "") != 0) { + printf("%s ========\n", data.actualZLocFPath); + nZmiss = countlines(data.actualZLocFPath); + missing_locations = readLocsFile(data.actualZLocFPath, N); + } + + if (nZmiss != 0) { - print_result(&data, starting_theta, N, zvecs, ncores, dts, test, arguments.ikernel, data.computation, p_grid, q_grid, data.final_loglik); - - if (strcmp(data.actualZLocFPath,"") != 0) - { - printf( "%s ========\n", data.actualZLocFPath); - nZmiss = countlines(data.actualZLocFPath); - missing_locations = readLocsFile(data.actualZLocFPath, N); - } - - if(nZmiss != 0){ - - //initialization - double *Zobs; - double *Zactual; - double *Zmiss; + //initialization + double* Zobs; + double* Zactual; + double* Zmiss; - //memory allocation - Zobs = (double *) malloc(nZobs * sizeof(double)); - Zactual = (double *) malloc(nZmiss * sizeof(double)); - Zmiss = (double *) malloc(nZmiss * sizeof(double)); + //memory allocation + Zobs = (double* ) malloc(nZobs * sizeof(double)); + Zactual = (double* ) malloc(nZmiss * sizeof(double)); + Zmiss = (double* ) malloc(nZmiss * sizeof(double)); - if(strcmp (data.computation, "exact") == 0 || strcmp (data.computation, "diag_approx") == 0) - prediction_init(&data, nZmiss, nZobs, dts, p_grid, q_grid, 1); + if (strcmp(data.computation, "exact") == 0 || strcmp(data.computation, "diag_approx") == 0) + prediction_init(&data, nZmiss, nZobs, dts, p_grid, q_grid, 1); #if defined(EXAGEOSTAT_USE_HICMA) - else if (strcmp (data.computation, "lr_approx") == 0) - prediction_init(&data, nZmiss, nZobs, lts, p_grid, q_grid, 1); + else if (strcmp (data.computation, "lr_approx") == 0) + prediction_init(&data, nZmiss, nZobs, lts, p_grid, q_grid, 1); #endif - int j = 0; - for (j = 0; j < 1; j++) - { - if (strcmp(data.actualZLocFPath,"") == 0) - pick_random_points(&data, Zobs, Zactual, nZmiss, nZobs, N); - else - { - Zactual = readObsFile(data.actualZFPath, nZmiss); - MLE_get_zobs(&data, Zobs, N); - data.lmiss = *missing_locations; - data.lobs = *locations; - } - // generate_interior_points(&data, Zobs, NULL, nZmiss, nZobs, N); - double prediction_error = 0.0; - if (strcmp (data.computation, "exact") == 0) - prediction_error = MORSE_dmle_Predict_Tile(&data, starting_theta, nZmiss, nZobs, Zobs, Zactual, Zmiss, N); - else if (strcmp (data.computation, "diag_approx") == 0) - prediction_error = MORSE_dmle_diag_Predict_Tile(&data, starting_theta, nZmiss, nZobs, Zobs, Zactual, Zmiss, N); + int j = 0; + for (j = 0; j < 1; j++) { + if (strcmp(data.actualZLocFPath, "") == 0) + pick_random_points(&data, Zobs, Zactual, nZmiss, nZobs, N); + else { + Zactual = readObsFile(data.actualZFPath, nZmiss); + MLE_get_zobs(&data, Zobs, N); + data.lmiss = *missing_locations; + data.lobs = *locations; + } + // generate_interior_points(&data, Zobs, NULL, nZmiss, nZobs, N); + double prediction_error = 0.0; + if (strcmp(data.computation, "exact") == 0) + prediction_error = EXAGEOSTAT_dmle_Predict_Tile(&data, starting_theta, nZmiss, nZobs, Zobs, Zactual, + Zmiss, N); + else if (strcmp(data.computation, "diag_approx") == 0) + prediction_error = EXAGEOSTAT_dmle_diag_Predict_Tile(&data, starting_theta, nZmiss, nZobs, Zobs, Zactual, + Zmiss, N); #if defined(EXAGEOSTAT_USE_HICMA) - else if (strcmp (data.computation, "lr_approx") == 0) - prediction_error = HICMA_dmle_Predict_Tile(&data, starting_theta, nZmiss, nZobs, Zobs, Zactual, Zmiss, N, lts); + else if (strcmp (data.computation, "lr_approx") == 0) + prediction_error = EXAGEOSTAT_TLR_dmle_Predict_Tile(&data, starting_theta, nZmiss, nZobs, Zobs, Zactual, Zmiss, N, lts); #endif - fprintf(stderr,"Prediction Error: %f \n", prediction_error); - } - - int index=0; - for (index=0; index< nZmiss; index++) - printf ("(%f, %f)\n ", Zactual[index], Zmiss[index]); - - prediction_finalize(&data); - //free memory - free(Zactual); - free(Zobs); - free(Zmiss); - } - - if(log == 1 && test == 1) - finalize_log(&data); - - - + fprintf(stderr, "Prediction Error: %f \n", prediction_error); + } + int index = 0; + for (index = 0; index < nZmiss; index++) + printf("(%f, %f)\n ", Zactual[index], Zmiss[index]); - nlopt_destroy(opt); - MLE_Finalize(&data); + prediction_finalize(&data); + //free memory + free(Zactual); + free(Zobs); + free(Zmiss); + } - if(arguments.profile == 1) - { - starpu_fxt_stop_profiling(); - RUNTIME_profiling_display_efficiency(); - } + if (log == 1 && test == 1) + finalize_log(&data); - return 0; -} + nlopt_destroy(opt); + MLE_Finalize(&data); + if (arguments.profile == 1) { + starpu_fxt_stop_profiling(); + RUNTIME_profiling_display_efficiency(); + } + return 0; +} \ No newline at end of file diff --git a/examples/real_csv_dmle_test.c b/examples/real_csv_dmle_test.c index 7ab3c6a..6742339 100644 --- a/examples/real_csv_dmle_test.c +++ b/examples/real_csv_dmle_test.c @@ -1,553 +1,630 @@ /** * - * Copyright (c) 2017-2020, King Abdullah University of Science and Technology + * Copyright (c) 2017-2023, King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST **/ /** * - * @file zgen_mle_test.c + * @file real_csv_dmle_test.c * * A complete example to test ExaGeoStat supported function (i.e., dataset generator, Maximum Likelihood Function (MLE), Prediction) * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2020-06-06 + * @date 2022-11-09 * **/ #include "examples.h" #include "../src/include/MLE.h" -int main(int argc, char **argv) { +int main(int argc, char** argv) { //initialization - double * starting_theta; - double * target_theta; - double * initial_theta; //for testing case + double* starting_theta; + double* target_theta; + double* initial_theta; //for testing case int N, lts, dts, log; - //int i = 0; int zvecs = 1, nZmiss = 0, test = 0, gpus = 0, num_params = 3; int p_grid, q_grid, ncores; - double opt_f; + double opt_f; int p = 1; - double all_time=0.0; - double pred_time=0.0; + double all_time = 0.0; + double pred_time = 0.0; arguments arguments; nlopt_opt opt; - double *streamdata; - double *streamdata1; - double *streamdata2; + double* streamdata; + double* streamdata1; + double* streamdata2; + double* streamdata3; MLE_data data; location *locations; location *missing_locations; + double* time_slots; + double* missing_time_slots; double prediction_error = 0.0; - //int iseed[4]={0, 0, 0, 1}; + int j = 0; //Arguments default values set_args_default(&arguments); argp_parse(&argp, argc, argv, 0, 0, &arguments); check_args(&arguments); - if(strcmp(arguments.kernel_fun, "univariate_matern_stationary") == 0) - { - num_params = 3; - p = 1; - } - else if(strcmp(arguments.kernel_fun, "univariate_matern_nuggets_stationary") == 0) - { - num_params = 4; - p = 1; - } - else if(strcmp(arguments.kernel_fun, "univariate_matern_non_stationary") == 0) - { - num_params = 9; - p = 1; - } - else if(strcmp(arguments.kernel_fun, "bivariate_matern_flexible") == 0) - { - num_params = 11; - p = 2; - } - else if(strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious") == 0 || strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious_profile") == 0) - { - num_params = 6; - p = 2; - } - else if(strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious2") == 0 || strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) - { - num_params = 6; - p = 2; - } - else if(strcmp(arguments.kernel_fun, "univariate_spacetime_matern_stationary") == 0) - { + if (strcmp(arguments.kernel_fun, "univariate_matern_stationary") == 0) { + num_params = 3; + p = 1; + } else if (strcmp(arguments.kernel_fun, "univariate_matern_nuggets_stationary") == 0) { + num_params = 4; + p = 1; + } else if (strcmp(arguments.kernel_fun, "univariate_matern_non_stationary") == 0) { + num_params = 9; + p = 1; + } else if (strcmp(arguments.kernel_fun, "bivariate_matern_flexible") == 0) { + num_params = 11; + p = 2; + } else if (strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious") == 0 || + strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious_profile") == 0) { + num_params = 6; + p = 2; + } else if (strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious2") == 0 || + strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { + num_params = 6; + p = 2; + } else if (strcmp(arguments.kernel_fun, "univariate_spacetime_matern_stationary") == 0) { num_params = 7; - p = 1; + p = 1; + } else if (strcmp(arguments.kernel_fun, "univariate_matern_non_gaussian") == 0 || + strcmp(arguments.kernel_fun, "univariate_exp_non_gaussian") == 0) { + num_params = 6; + p = 1; + } else if (strcmp(arguments.kernel_fun, "bivariate_spacetime_matern_stationary") == 0) { + num_params = 10; + p = 2; + } else if (strcmp(arguments.kernel_fun, "trivariate_matern_parsimonious") == 0 || + strcmp(arguments.kernel_fun, "trivariate_matern_parsimonious_profile") == 0) { + num_params = 10; + p = 3; + } else if (strcmp(arguments.kernel_fun, "univariate_matern_non_stat") == 0) { + num_params = 8; + p = 1; } - double* lb = (double *) malloc(num_params * sizeof(double)); - double* up = (double *) malloc(num_params * sizeof(double)); + double* lb = (double* ) malloc(num_params * sizeof(double)); + double* up = (double* ) malloc(num_params * sizeof(double)); //Memory allocation - starting_theta = (double *) malloc(num_params * sizeof(double)); - initial_theta = (double *) malloc(num_params * sizeof(double)); - target_theta = (double *) malloc(num_params * sizeof(double)); + starting_theta = (double* ) malloc(num_params * sizeof(double)); + initial_theta = (double* ) malloc(num_params * sizeof(double)); + target_theta = (double* ) malloc(num_params * sizeof(double)); //MLE_data data initialization - init(&test, &N, &ncores, - &gpus, &p_grid, &q_grid, - &zvecs, &dts, <s, - &nZmiss, &log, initial_theta, - starting_theta, target_theta, lb, - up, &data, &arguments); - - if(strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious2") == 0 - || strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious_profile") == 0 - || strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious2_profile") == 0 - ) - { - if(N%dts !=0) - { + init(&test, &N, &ncores, + &gpus, &p_grid, &q_grid, + &zvecs, &dts, <s, + &nZmiss, &log, initial_theta, + starting_theta, target_theta, lb, + up, &data, &arguments); + + if (strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious2") == 0 + || strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious_profile") == 0 + || strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious2_profile") == 0 + ) { + if (N % dts != 0) { printf("please use N divisible by dts, only with parsimonious2\n"); exit(0); } } - - + if (strcmp(arguments.kernel_fun, "trivariate_matern_parsimonious") == 0 || + strcmp(arguments.kernel_fun, "trivariate_matern_parsimonious_profile") == 0) { + if (dts % 3 != 0) { + printf("please use dts divisible by 3, with trivariate_matern_parsimonious\n"); + exit(0); + } + } //kernel parsing - opt=nlopt_create( NLOPT_LN_BOBYQA, num_params); //NLOPT_LN_BOBYQA - NLOPT_GN_ORIG_DIRECT + opt = nlopt_create(NLOPT_LN_BOBYQA, num_params); //NLOPT_LN_BOBYQA - NLOPT_GN_ORIG_DIRECT init_optimizer(&opt, lb, up, pow(10, -1.0 * data.opt_tol)); nlopt_set_maxeval(opt, data.opt_max_iters); - data.precision = 0; - //data.l1.x=(double *) malloc(N * sizeof(double)); - //data.l1.y=(double *) malloc(N * sizeof(double)); //Read locations from a flat file. N = countlines(data.locsFPath); - if(strcmp (arguments.dim, "3d") == 0) - locations = (location *)readLocsFile3d(data.locsFPath, N); - else - { + if (strcmp(arguments.dim, "3d") == 0) + locations = (location *) readLocsFile3d(data.locsFPath, N); + else if (strcmp(arguments.dim, "2d") == 0) { locations = readLocsFile(data.locsFPath, N); locations->z = NULL; + } else if (strcmp(arguments.dim, "st") == 0) { + locations = readLocsFile(data.locsFPath, N); + locations->z = (double* ) malloc(N * sizeof(double)); + locations->z = readTimeFile(data.timeFPath, N); + } else { + printf("Input dimension is not supported. Please use 2d, 3d, or st\n\n"); + exit(0); } - - data.l1 = *locations; + data.l1 = *locations; // data.l1.z =NULL; //TODO - int nZobs = strcmp(data.actualZFPath,"") == 0? (N-nZmiss) : N; + int nZobs = strcmp(data.actualZFPath, "") == 0 ? (N - nZmiss) : N; //To support multivariate case - N= p*N; + N = p * N; exageostat_init(&ncores, &gpus, &dts, <s); - if(strcmp (data.computation, "exact") == 0) - MORSE_dmle_Call(&data, ncores, gpus, dts, p_grid, q_grid, N, nZobs, nZmiss); - else if (strcmp (data.computation, "diag_approx") == 0) - MORSE_dmle_diag_Call(&data, ncores, gpus, dts, p_grid, q_grid, N, nZobs, nZmiss); + if (strcmp(data.computation, "exact") == 0) + if (strcmp(arguments.kernel_fun, "univariate_matern_non_gaussian") == 0 + || strcmp(arguments.kernel_fun, "univariate_exp_non_gaussian") == 0) + EXAGEOSTAT_dmle_ng_Call(&data, ncores, gpus, dts, p_grid, q_grid, N, nZobs, nZmiss); + else + EXAGEOSTAT_dmle_Call(&data, ncores, gpus, dts, p_grid, q_grid, N, nZobs, nZmiss); + else if (strcmp(data.computation, "diag_approx") == 0) + EXAGEOSTAT_dmle_diag_Call(&data, ncores, gpus, dts, p_grid, q_grid, N, nZobs, nZmiss); #if defined(EXAGEOSTAT_USE_HICMA) - else if (strcmp (data.computation, "lr_approx") == 0) - { - HICMA_dmle_Call(&data, ncores, gpus, lts, p_grid, q_grid, N, nZobs, nZmiss); - if (test == 1) - { - - if(strcmp(arguments.kernel_fun, "univariate_matern_stationary") == 0 || strcmp(arguments.kernel_fun, "univariate_matern_nuggets_stationary") == 0) + else if (strcmp(data.computation, "lr_approx") == 0) { + EXAGEOSTAT_TLR_dmle_Call(&data, ncores, gpus, lts, p_grid, q_grid, N, nZobs, nZmiss); + if (test == 1) { + if (strcmp(arguments.kernel_fun, "univariate_matern_stationary") == 0 || + strcmp(arguments.kernel_fun, "univariate_matern_nuggets_stationary") == 0) data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT; - else if(strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious") == 0) + else if (strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious") == 0) data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT_PARSIMONIOUS_BIVARIATE; - else if(strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious2") == 0) + else if (strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious2") == 0) data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT_PARSIMONIOUS2_BIVARIATE; - } - else - { - if(strcmp(arguments.kernel_fun, "univariate_matern_stationary") == 0 || strcmp(arguments.kernel_fun, "univariate_matern_nuggets_stationary") == 0) + else if (strcmp(arguments.kernel_fun, "trivariate_matern_parsimonious") == 0) { + printf("not implemented yet!\n"); + exit(0); + } + } else { + if (strcmp(arguments.kernel_fun, "univariate_matern_stationary") == 0 || + strcmp(arguments.kernel_fun, "univariate_matern_nuggets_stationary") == 0) data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT_POINT; - else if(strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious") == 0) + else if (strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious") == 0) data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT_PARSIMONIOUS_BIVARIATE_POINT; - else if(strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious2") == 0) + else if (strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious2") == 0) data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT_PARSIMONIOUS2_BIVARIATE_POINT; + else if (strcmp(arguments.kernel_fun, "trivariate_matern_parsimonious") == 0) { + printf("not implemented yet!\n"); + exit(0); + } } } #endif - print_summary(test, N, ncores, gpus, dts, lts, data.computation, zvecs, p_grid, q_grid, data.precision); + print_summary(test, N, ncores, gpus, dts, lts, data.computation, zvecs, p_grid, q_grid, data.precision); - if(arguments.profile == 1) - { + if (arguments.profile == 1) { starpu_fxt_autostart_profiling(0); starpu_fxt_start_profiling(); } - //read observation file - if(p == 1) - { + //read observation file + if (p == 1) { //for wind dataset - //double* streamdata_u = (double *) malloc(N * sizeof(double)); - //double *streamdata_v = (double *) malloc(N * sizeof(double)); - streamdata=(double *) malloc(N * sizeof(double)); + + streamdata = (double* ) malloc(N * sizeof(double)); streamdata = readObsFile(data.obsFPath, N); - //streamdata2 = readObsFile(data.obsFPath2, N); - // streamdata=(double *) malloc(N * sizeof(double)); - //Calculate the wind speed. - // for (i=0 ;i < N; i++) - // streamdata[i] = sqrt(pow(streamdata_u[i], 2) + pow(streamdata_v[i], 2)); - locations_obs_zsort_inplace(N, locations, streamdata); + + if (strcmp(data.computation, "exact") != 0) + locations_obs_zsort_inplace(N, locations, streamdata); printf("number of observations: %d\n", N); - } - if(p == 2) - { - streamdata1 = readObsFile(data.obsFPath, N/p); - streamdata2 = readObsFile(data.obsFPath2, N/p); - locations_obs_zsort_inplace(N/2, locations, streamdata1); - locations_obs_zsort_inplace(N/2, locations, streamdata2); - streamdata=(double *) malloc(N * sizeof(double)); - int j=0; + } else if (p == 2) { + printf("%s %s /n", data.obsFPath, data.obsFPath2); + streamdata1 = readObsFile(data.obsFPath, N / p); + streamdata2 = readObsFile(data.obsFPath2, N / p); + + //TODO: ordering should eb reviewd; + //locations_obs_zsort_inplace_bivariate(N/p, locations, streamdata1, streamdata2); + //locations_obs_zsort_inplace(N/2, locations, streamdata2); + streamdata = (double* ) malloc(N * sizeof(double)); + int j = 0; int i = 0; - for(i=0;iz = NULL; + } else if (strcmp(arguments.dim, "st") == 0) { + missing_locations = readLocsFile(data.actualZLocFPath, N); + missing_locations->z = (double* ) malloc(N * sizeof(double)); + missing_locations->z = readTimeFile(data.actualTimeFPath, N); + } else { + printf("Input dimension is not supported. Please use 2d, 3d, or st\n\n"); + exit(0); } - } - - - - - + } - if(nZmiss != 0) - { + if (nZmiss != 0) { //initialization - double *Zobs; - double *Zactual; - double *Zmiss; - int i=0; - double avg_pred_value=0.0; - double avg_pred_value1=0.0; - double avg_pred_value2=0.0; + double* Zobs; + double* Zactual; + double* Zmiss; + int i = 0; + double avg_pred_value = 0.0; + double avg_pred_value1 = 0.0; + double avg_pred_value2 = 0.0; + double avg_pred_value3 = 0.0; int pred_samples = 1; - if(data.mloe_mmom ==1 || data.mloe_mmom_async ==1) - { + if (data.mloe_mmom == 1 || data.mloe_mmom_async == 1) { printf("nZobs: %d, nZmiss:%d\n", nZobs, nZmiss); - nZobs = N; - Zobs = (double *) malloc(p*nZobs * sizeof(double)); - Zactual = (double *) malloc(p*nZmiss * sizeof(double)); - Zmiss = (double *) malloc(p*nZmiss * sizeof(double)); if(p == 2) - { - double* Zactual1 = (double *) malloc(nZmiss * sizeof(double)); - double* Zactual2 = (double *) malloc(nZmiss * sizeof(double)); + nZobs = N; + Zobs = (double* ) malloc(p * nZobs * sizeof(double)); + Zactual = (double* ) malloc(p * nZmiss * sizeof(double)); + Zmiss = (double* ) malloc(p * nZmiss * sizeof(double)); + + if (p == 3) { + double* Zactual1 = (double* ) malloc(nZmiss * sizeof(double)); + double* Zactual2 = (double* ) malloc(nZmiss * sizeof(double)); + double* Zactual3 = (double* ) malloc(nZmiss * sizeof(double)); Zactual1 = readObsFile(data.actualZFPath, nZmiss); Zactual2 = readObsFile(data.actualZFPath2, nZmiss); + Zactual3 = readObsFile(data.actualZFPath3, nZmiss); int j = 0; int i = 0; - for(i=0;ix, NULL, locations->y, NULL, - &initial_theta[0], &initial_theta[1], &initial_theta[2], - &dm_int, &globalveclen, vecs_out); - - - if(strcmp (computation, "exact") == 0) - mle_exact(&n, &ncores, &gpus, - &dts, &p_grid, &q_grid, - locations->x, NULL, locations->y, - NULL, vecs_out, NULL, - lb, &thetalen, ub, - &thetalen, &dm_int, &opt_tol, - &opt_max_iters, theta_out); - - else if(strcmp (computation, "lr_approx") == 0) - mle_tlr(&n, &ncores, &gpus, - <s, &p_grid, &q_grid, - locations->x, NULL, locations->y, - NULL, vecs_out, NULL, - lb, &thetalen, ub, - &thetalen, &hicma_acc, &hicma_maxrank, - &dm_int, &opt_tol, &opt_max_iters, theta_out); - - else if(strcmp (computation, "diag_approx") == 0) - mle_dst(&n, &ncores, &gpus, - &dts, &p_grid, &q_grid, - locations->x, NULL, locations->y, - NULL, vecs_out, NULL, - lb, &thetalen, ub, - &thetalen, &diag_thick, &dm_int, - &opt_tol, &opt_max_iters, theta_out); - - else if(strcmp (computation, "diag_approx") == 0) - mle_dst(locations->x, NULL, locations->y, NULL, vecs_out, NULL, lb, &thetalen, ub, &thetalen, &diag_thick, &dm_int, &n, &opt_tol, &opt_max_iters, &ncores, &gpus, <s, &p_grid, &q_grid,theta_out); - // Old interfaces. - //rexageostat_gen_z(&n, &ncores, &gpus, &dts, &p_grid, &q_grid, &initial_theta[0], &initial_theta[1], &initial_theta[2], &computation_int, &dm_int, &globalveclen, vecs_out); - //rexageostat_likelihood(&n, &ncores, &gpus, &dts, &p_grid, &q_grid, vecs_out, NULL, &vecs_out[n], NULL, &vecs_out[2*n], NULL, lb, &thetalen, ub, &thetalen, &computation_int, &dm_int, theta_out); - - rexageostat_finalize(); - printf("%f - %f - %f\n", theta_out[0], theta_out[1], theta_out[2]); - - //free memory - free(theta_out); - free(vecs_out); - free(ub); - free(lb); - return 0; -} - +int main(int argc, char** argv) { + + //initialization + char* theta; //for testing case + int n, dts, lts;// log, verbose; + char* dm; + char* computation, *clb, *cub; + int dm_int = 0, hicma_acc = 0, hicma_maxrank = 0, diag_thick = 0; + int globalveclen; + int gpus = 0, p_grid, q_grid, ncores; + int thetalen = 3; + char* kernel_fun; + arguments arguments; + double* vecs_out = NULL, *theta_out = NULL; + double* initial_theta = NULL, *lb = NULL, *ub = NULL; + double opt_tol; + int opt_max_iters = 0; + int num_params = 0; + char* locsFPath; + location *locations; + //Arguments default values + set_args_default(&arguments); + argp_parse(&argp, argc, argv, 0, 0, &arguments); + + //read inputs + ncores = atoi(arguments.ncores); + gpus = atoi(arguments.gpus); + p_grid = atoi(arguments.p); + q_grid = atoi(arguments.q); + diag_thick = atoi(arguments.diag_thick); + dts = atoi(arguments.dts); + lts = atoi(arguments.lts); + hicma_acc = atoi(arguments.acc); + hicma_maxrank = atoi(arguments.maxrank); + dm = arguments.dm; + computation = arguments.computation; //approx or exact + theta = arguments.ikernel; + clb = arguments.olb; + cub = arguments.oub; + opt_tol = pow(10, -1.0 * atoi(arguments.opt_tol)); + opt_max_iters = atoi(arguments.opt_max_iters); + locsFPath = arguments.locs_file; + kernel_fun = arguments.kernel_fun; + + if (strcmp(kernel_fun, "univariate_matern_stationary") == 0) + num_params = 3; + else if (strcmp(kernel_fun, "univariate_matern_nuggets_stationary") == 0) + num_params = 4; + else if (strcmp(kernel_fun, "univariate_matern_non_stationary") == 0) + num_params = 9; + else if (strcmp(kernel_fun, "bivariate_matern_flexible") == 0) + num_params = 13; + else if (strcmp(kernel_fun, "bivariate_matern_parsimonious") == 0) + num_params = 6; + else if (strcmp(kernel_fun, "bivariate_matern_parsimonious2") == 0) + num_params = 6; + else if (strcmp(kernel_fun, "bivariate_matern_parsimonious_profile") == 0) + num_params = 6; + else if (strcmp(kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) + num_params = 6; + else if (strcmp(kernel_fun, "univariate_spacetime_matern_stationary") == 0) + num_params = 7; + else if (strcmp(kernel_fun, "bivariate_spacetime_matern_stationary") == 0) + num_params = 10; + else if (strcmp(kernel_fun, "trivariate_matern_parsimonious") == 0 || + strcmp(kernel_fun, "trivariate_matern_parsimonious_profile") == 0) + num_params = 10; + else if (strcmp(kernel_fun, "univariate_matern_non_stat") == 0) + num_params = 8; + else { + fprintf(stderr, "Choosen kernel is not exist!\n"); + fprintf("stderr, Called function is: %s\n", __func__); + exit(0); + } + + if (strcmp(locsFPath, "") == 0) { + printf("Please determine the path of locations file using --locs_file argument\n"); + exit(0); + } + + //Read locations from a flat file. + n = countlines(locsFPath); + locations = readLocsFile(locsFPath, n); + + dm_int = strcmp(dm, "ed") == 0 ? 0 : 1; + + globalveclen = n; + + //Memory allocation + theta_out = (double* ) malloc((num_params + 3) * sizeof(double)); + vecs_out = (double* ) malloc(globalveclen * sizeof(double)); + initial_theta = (double* ) malloc(thetalen * sizeof(double)); + lb = (double* ) malloc(thetalen * sizeof(double)); + ub = (double* ) malloc(thetalen * sizeof(double)); + + + //Parse inputs + theta_parser2(initial_theta, theta, num_params); + theta_parser2(lb, clb, num_params); + theta_parser2(ub, cub, num_params); + + rexageostat_init(&ncores, &gpus, &dts, <s); + + int kernel_len = strlen("univariate_matern_stationary"); + + gen_z_givenlocs_exact(locations->x, NULL, locations->y, NULL, + "univariate_matern_stationary", initial_theta, &num_params, + &dm_int, &n, &ncores, + &gpus, &dts, &p_grid, + &q_grid, &globalveclen, vecs_out); + + if (strcmp(computation, "exact") == 0) + mle_exact(locations->x, NULL, locations->y, + NULL, vecs_out, NULL, + lb, &num_params, ub, + &num_params, "univariate_matern_stationary", + &dm_int, &n, + &opt_tol, &opt_max_iters, &ncores, + &gpus, &dts, &p_grid, + &q_grid, theta_out); + + else if (strcmp(computation, "lr_approx") == 0) + mle_tlr(locations->x, NULL, locations->y, + NULL, vecs_out, NULL, + lb, &num_params, ub, + &num_params, &hicma_acc, &hicma_maxrank, + "univariate_matern_stationary", + &dm_int, &n, &opt_tol, &opt_max_iters, + &ncores, &gpus, &dts, <s, + &p_grid, &q_grid, theta_out); + + else if (strcmp(computation, "diag_approx") == 0) + mle_dst(locations->x, NULL, locations->y, + NULL, vecs_out, NULL, + lb, &num_params, ub, + &num_params, &diag_thick, + "univariate_matern_stationary", &dm_int, + &n, &opt_tol, &opt_max_iters, &ncores, + &gpus, <s, &p_grid, &q_grid, + theta_out); + + + rexageostat_finalize(); + printf("%f - %f - %f\n", theta_out[0], theta_out[1], theta_out[2]); + + //free memory + free(theta_out); + free(vecs_out); + free(ub); + free(lb); + return 0; + +} \ No newline at end of file diff --git a/examples/synthetic_dmle_rwrapper_test.c b/examples/synthetic_dmle_rwrapper_test.c index a4ee8f0..5601beb 100644 --- a/examples/synthetic_dmle_rwrapper_test.c +++ b/examples/synthetic_dmle_rwrapper_test.c @@ -1,165 +1,222 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST **/ /** * - * @file MLE.c + * @file synthetic_dmle_rwrapper_test.c * - * ExaGeoStat main functions. + * ExaGeoStat main function (R-Wrapper test). * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2020-06-06 + * @date 2022-11-09 * **/ #include "examples.h" #include "../src/include/MLE.h" #include "../r-wrappers/include/rwrappers.h" -int main(int argc, char **argv) { +int main(int argc, char** argv) { //initialization - char *theta; //for testing case + char* theta; //for testing case int n, dts, lts;//, log, verbose; int i = 0, seed = 0; - char *dm; - char *computation, *clb, *cub; - char *kernel_fun; - //int computation_int; + int nZmiss, nZobs; + char* dm; + char* computation, *clb, *cub; + char* kernel_fun; int dm_int = 0, hicma_acc = 0, hicma_maxrank = 0, diag_thick = 0, num_params = 0; - //double time_opt = 0.0; int globalveclen; int gpus = 0, p_grid, q_grid, ncores; arguments arguments; - double *vecs_out = NULL, *theta_out = NULL; - double *initial_theta = NULL, *lb = NULL, *ub = NULL; + double* vecs_out = NULL, *miss_vecs = NULL, *theta_out = NULL, *zmiss = NULL, *globalzpredict = NULL, *fisher_out = NULL; + double* initial_theta = NULL, *lb = NULL, *ub = NULL; double opt_tol; int opt_max_iters = 0; + //Arguments default values set_args_default(&arguments); - argp_parse (&argp, argc, argv, 0, 0, &arguments); + argp_parse(&argp, argc, argv, 0, 0, &arguments); //read inputs - n = atoi(arguments.N); - ncores = atoi(arguments.ncores); - gpus = atoi(arguments.gpus); - p_grid = atoi(arguments.p); - q_grid = atoi(arguments.q); - diag_thick = atoi(arguments.diag_thick); - dts = atoi(arguments.dts); - lts = atoi(arguments.lts); - hicma_acc = atoi(arguments.acc); - hicma_maxrank = atoi(arguments.maxrank); - dm = arguments.dm; - computation = arguments.computation; //approx or exact - theta = arguments.ikernel; - clb = arguments.olb; - cub = arguments.oub; - opt_tol = pow(10, -1.0 * atoi(arguments.opt_tol)); - opt_max_iters = atoi(arguments.opt_max_iters); - kernel_fun = arguments.kernel_fun; - dm_int = strcmp(dm, "ed") == 0 ? 0 : 1; - - if(strcmp(kernel_fun, "univariate_matern_stationary") == 0) + n = atoi(arguments.N); + ncores = atoi(arguments.ncores); + gpus = atoi(arguments.gpus); + p_grid = atoi(arguments.p); + q_grid = atoi(arguments.q); + diag_thick = atoi(arguments.diag_thick); + dts = atoi(arguments.dts); + lts = atoi(arguments.lts); + hicma_acc = atoi(arguments.acc); + hicma_maxrank = atoi(arguments.maxrank); + dm = arguments.dm; + computation = arguments.computation; //approx or exact + theta = arguments.ikernel; + clb = arguments.olb; + cub = arguments.oub; + opt_tol = pow(10, -1.0 * atoi(arguments.opt_tol)); + opt_max_iters = atoi(arguments.opt_max_iters); + kernel_fun = arguments.kernel_fun; + dm_int = strcmp(dm, "ed") == 0 ? 0 : 1; + nZmiss = atoi(arguments.predict); + + if (strcmp(kernel_fun, "univariate_matern_stationary") == 0) num_params = 3; - else if(strcmp(kernel_fun, "univariate_matern_non_stationary") == 0) + else if (strcmp(kernel_fun, "univariate_matern_non_stationary") == 0) num_params = 9; - else if(strcmp(kernel_fun, "bivariate_matern_flexible") == 0) + else if (strcmp(kernel_fun, "bivariate_matern_flexible") == 0) num_params = 13; - else if(strcmp(kernel_fun, "bivariate_matern_parsimonious") == 0) + else if (strcmp(kernel_fun, "bivariate_matern_parsimonious") == 0) num_params = 6; - else if(strcmp(kernel_fun, "bivariate_matern_parsimonious2") == 0) + else if (strcmp(kernel_fun, "bivariate_matern_parsimonious2") == 0) num_params = 6; - else if(strcmp(kernel_fun, "bivariate_matern_parsimonious_profile") == 0) + else if (strcmp(kernel_fun, "bivariate_matern_parsimonious_profile") == 0) num_params = 6; - else if(strcmp(kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) + else if (strcmp(kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) num_params = 6; - else if(strcmp(kernel_fun, "univariate_spacetime_matern_stationary") == 0) + else if (strcmp(kernel_fun, "univariate_spacetime_matern_stationary") == 0) num_params = 7; - else - { - fprintf(stderr,"Choosen kernel is not exist!\n"); - fprintf(stderr, "Called function is: %s\n",__func__); + else if (strcmp(kernel_fun, "trivariate_matern_parsimonious") == 0 || + strcmp(kernel_fun, "trivariate_matern_parsimonious_profile") == 0) + num_params = 8; + else if (strcmp(kernel_fun, "univariate_matern_non_stat") == 0) + num_params = 8; + else { + fprintf(stderr, "Choosen kernel is not exist!\n"); + fprintf(stderr, "Called function is: %s\n", __func__); exit(0); } - //num_params = strcmp(data->kernel_fun, "stationary_kernel") == 0? 3 : 9; - globalveclen = num_params * n; + globalveclen = num_params * n; //Memory allocation - theta_out = (double *) malloc((num_params+3) * sizeof(double)); - vecs_out = (double *) malloc(globalveclen * sizeof(double)); - initial_theta = (double *) malloc(num_params * sizeof(double)); - lb = (double *) malloc(num_params * sizeof(double)); - ub = (double *) malloc(num_params * sizeof(double)); - theta_parser2(initial_theta, theta, num_params); + theta_out = (double* ) malloc((num_params + 3) * sizeof(double)); + fisher_out = (double* ) malloc(10 * sizeof(double)); + vecs_out = (double* ) malloc(globalveclen * sizeof(double)); + miss_vecs = (double* ) malloc(globalveclen * sizeof(double)); + initial_theta = (double* ) malloc(num_params * sizeof(double)); + lb = (double* ) malloc(num_params * sizeof(double)); + ub = (double* ) malloc(num_params * sizeof(double)); + theta_parser2(initial_theta, theta, num_params); theta_parser2(lb, clb, num_params); theta_parser2(ub, cub, num_params); - rexageostat_init(&ncores,&gpus, &dts); - - - - gen_z_exact(&initial_theta[0], &initial_theta[1], &initial_theta[2], - &dm_int, &n, &seed, &ncores, - &gpus, &dts, &p_grid, - &q_grid, &globalveclen, vecs_out); - - if(strcmp (computation, "exact") == 0) - if(strcmp(kernel_fun, "univariate_matern_stationary") == 0) - mle_exact(vecs_out, NULL, &vecs_out[n], - NULL, &vecs_out[2*n], NULL, - lb, &num_params, ub, - &num_params, &dm_int, &n, - &opt_tol, &opt_max_iters, &ncores, - &gpus, &dts, &p_grid, - &q_grid, theta_out); + rexageostat_init(&ncores, &gpus, &dts, <s); + + int kernel_len = strlen("univariate_matern_stationary"); + + int k = 0; + // "univariate_matern_stationary" = 0 + gen_z_exact(&k, initial_theta, &num_params, + &dm_int, &n, &seed, &ncores, + &gpus, &dts, &p_grid, + &q_grid, &globalveclen, vecs_out); + + if (strcmp(computation, "exact") == 0) + if (strcmp(kernel_fun, "univariate_matern_stationary") == 0) + mle_exact(vecs_out, NULL, &vecs_out[n], + NULL, &vecs_out[2 * n], NULL, + lb, &num_params, ub, + &num_params, &k, + &dm_int, &n, + &opt_tol, &opt_max_iters, &ncores, + &gpus, &dts, &p_grid, + &q_grid, theta_out); else - mle_exact_non_stat(vecs_out, NULL, &vecs_out[n], - NULL, &vecs_out[2*n], NULL, - lb, &num_params, ub, - &num_params, &dm_int, &n, - &opt_tol, &opt_max_iters, &ncores, - &gpus, &dts, &p_grid, - &q_grid,theta_out); - - else if(strcmp (computation, "lr_approx") == 0) - mle_tlr(vecs_out, NULL, &vecs_out[n], - NULL, &vecs_out[2*n], NULL, + mle_exact_non_stat(vecs_out, NULL, &vecs_out[n], + NULL, &vecs_out[2 * n], NULL, + lb, &num_params, ub, + &num_params, &k, + &dm_int, &n, + &opt_tol, &opt_max_iters, &ncores, + &gpus, &dts, &p_grid, + &q_grid, theta_out); + + else if (strcmp(computation, "lr_approx") == 0) + mle_tlr(vecs_out, NULL, &vecs_out[n], + NULL, &vecs_out[2 * n], NULL, lb, &num_params, ub, &num_params, &hicma_acc, &hicma_maxrank, - &dm_int, &n, &opt_tol, &opt_max_iters, - &ncores, &gpus, <s, - &p_grid, &q_grid,theta_out); + &k, + &dm_int, &n, &opt_tol, &opt_max_iters, + &ncores, &gpus, &dts, <s, + &p_grid, &q_grid, theta_out); - else if(strcmp (computation, "diag_approx") == 0) - mle_dst(vecs_out, NULL, &vecs_out[n], - NULL, &vecs_out[2*n], NULL, + else if (strcmp(computation, "diag_approx") == 0) + mle_dst(vecs_out, NULL, &vecs_out[n], + NULL, &vecs_out[2 * n], NULL, lb, &num_params, ub, - &num_params, &diag_thick, &dm_int, - &n, &opt_tol, &opt_max_iters, &ncores, + &num_params, &diag_thick, + &k, + &dm_int, &n, + &opt_tol, &opt_max_iters, &ncores, &gpus, <s, &p_grid, &q_grid, theta_out); - - - - // rexageostat_gen_z(&n, &ncores, &gpus, &dts, &p_grid, &q_grid, &initial_theta[0], &initial_theta[1], &initial_theta[2], &computation_int, &dm_int, &globalveclen, vecs_out); - // rexageostat_likelihood(&n, &ncores, &gpus, &dts, &p_grid, &q_grid, vecs_out, NULL, &vecs_out[n], NULL, &vecs_out[2*n], NULL, lb, &num_params, ub, &num_params, &computation_int, &dm_int, theta_out); - + //calcualte the fisher matrix + fprintf(stderr, "Calculating the Fisher matrix......\n"); + fisher_general(vecs_out, &vecs_out[n], &n, + theta_out, &num_params, + &dts, &dm_int, &p_grid, &q_grid, + fisher_out); + + for (int iter = 0; iter < 9; iter++) { + if (iter % 3 == 0) + printf("\n"); + fprintf(stderr, " %6.4e ", fisher_out[iter]); + } + printf("\n"); + //data generation for the prediction function + nZobs = n; + seed = 5; //any random value larger than 0 + zmiss = (double* ) malloc(nZmiss * sizeof(double)); + globalzpredict = (double* ) malloc(nZmiss * sizeof(double)); + + if (nZmiss != 0) { + gen_z_exact(&k, initial_theta, + &num_params, + &dm_int, &nZmiss, &seed, &ncores, + &gpus, &dts, &p_grid, + &q_grid, &globalveclen, miss_vecs); + + //prediction function + int comp_mode = 0; + + exact_predict(vecs_out, NULL, &vecs_out[nZobs], + NULL, &vecs_out[2 * nZobs], NULL, + miss_vecs, NULL, &miss_vecs[nZmiss], + NULL, &nZobs, &nZmiss, + &k, + theta_out, &num_params, + &comp_mode, &dm_int, &ncores, + &gpus, &dts, &p_grid, + &q_grid, globalzpredict); + + double mspe = 0; + for (i = 0; i < nZmiss; i++) { + printf("(%f, %f): %f (actual: %f)\n", miss_vecs[i], miss_vecs[nZmiss + i], globalzpredict[i], + miss_vecs[2 * nZmiss + i]); + mspe += pow(miss_vecs[2 * nZmiss + i] - globalzpredict[i], 2); + } + mspe = mspe / nZmiss; + printf("Mean Sqaure Presiction Error (MSPE): %f\n", mspe); + } rexageostat_finalize(); - for(int i=0; i= N) { - fprintf(stderr,"Choosen kernel is not exist(20)!\n"); - fprintf(stderr, "Called function is: %s\n",__func__); - exit(0); + printf("please use nZmiss < N!!\n"); + exit(0); } + int nZobs = strcmp(data.actualZFPath, "") == 0 ? (N - nZmiss) : N; + //To support multivariate case + N = p * N; + results.problem_size = N; + exageostat_init(&ncores, &gpus, &dts, <s); + // Optimizater initialization + + //NLOPT_LN_BOBYQA && NLOPT_LN_SBPLX + opt = nlopt_create(NLOPT_LN_BOBYQA, num_params); + init_optimizer(&opt, lb, up, pow(10, -1.0 * data.opt_tol)); + nlopt_set_maxeval(opt, data.opt_max_iters); + data.precision = 0; + //nomral random generation of e -- ei~N(0, 1) to generate Z + double* Nrand = (double* ) malloc(N * zvecs * sizeof(double)); + printf("Precision: %d,\n", data.precision); + LAPACKE_dlarnv(3, iseed, N * zvecs, Nrand); + + printf("%s\n", arguments.dim); + + //uniform random generation for locations / read locations from disk + if (strcmp(arguments.dim, "2d") == 0) { + printf("2D example......\n"); + locations = GenerateXYLoc(N / p, seed); + data.l1.z = NULL; + } else if (strcmp(arguments.dim, "3d") == 0) { + printf("3D example......\n"); + locations = GenerateXYZLoc(N / p, seed); + } else if (strcmp(arguments.dim, "st") == 0) { + printf("ST example......\n"); + locations = GenerateXYLoc_ST(N / p, data.time_slots, seed); + } else { + printf("Input dimension is not supported. Please use 2d, 3d, or st\n\n"); + exit(0); + } + data.l1 = *locations; + //find x_max, x_min, y_max, y_min + if (strcmp(data.kernel_fun, "univariate_matern_non_stationary") == 0) { + x_max = data.l1.x[0]; + x_min = data.l1.x[0]; + y_max = data.l1.y[0]; + y_min = data.l1.y[0]; + for (i = 1; i < N; i++) { + if (x_max < data.l1.x[i]) + x_max = data.l1.x[i]; + if (x_min > data.l1.x[i]) + x_min = data.l1.x[i]; + if (y_max < data.l1.y[i]) + y_max = data.l1.y[i]; + if (y_max > data.l1.y[i]) + y_max = data.l1.y[i]; + } - double* lb = (double *) malloc(num_params * sizeof(double)); - double* up = (double *) malloc(num_params * sizeof(double)); - int iseed[4]={seed, seed, seed, 1}; - - //Memory allocation - starting_theta = (double *) malloc(num_params * sizeof(double)); - initial_theta = (double *) malloc(num_params * sizeof(double)); - target_theta = (double *) malloc(num_params * sizeof(double)); + data.lm.x[0] = x_min + (x_max - x_min) / 2; + data.lm.y[0] = y_min + (y_max - y_min) / 2; + printf(" The central point is ( %f, %f)\n", data.lm.x[0], data.lm.y[0]); + } + //*************************** + + if (strcmp(data.computation, "exact") == 0) { + if (strcmp(arguments.kernel_fun, "univariate_matern_non_gaussian") == 0 || + strcmp(arguments.kernel_fun, "univariate_exp_non_gaussian") == 0) { + EXAGEOSTAT_dmle_ng_Call(&data, ncores, gpus, dts, p_grid, q_grid, N, nZobs, nZmiss); + } else { + if (data.precision == 0) + EXAGEOSTAT_dmle_Call(&data, ncores, gpus, dts, p_grid, q_grid, N, nZobs, nZmiss); + else + EXAGEOSTAT_smle_Call(&data, ncores, gpus, dts, p_grid, q_grid, N, nZobs, nZmiss); + } + } else if (strcmp(data.computation, "diag_approx") == 0) + EXAGEOSTAT_dmle_diag_Call(&data, ncores, gpus, dts, p_grid, q_grid, N, nZobs, nZmiss); +#if defined(EXAGEOSTAT_USE_HICMA) + else if (strcmp (data.computation, "lr_approx") == 0) + { + if (test == 1) + { + if (strcmp(arguments.kernel_fun, "univariate_matern_non_gaussian") == 0 || + strcmp(arguments.kernel_fun, "univariate_exp_non_gaussian") == 0){ + EXAGEOSTAT_TLR_dmle_ng_Call(&data, ncores, gpus, lts, p_grid, q_grid, N, nZobs, nZmiss); + } + else{ + EXAGEOSTAT_TLR_dmle_Call(&data, ncores, gpus, lts, p_grid, q_grid, N, nZobs, nZmiss); + } - //MLE_data data initialization - init(&test, &N, &ncores, - &gpus, &p_grid, &q_grid, - &zvecs, &dts, <s, - &nZmiss, &log, initial_theta, - starting_theta, target_theta, lb, - up, &data, &arguments); + if(strcmp(arguments.kernel_fun, "univariate_matern_stationary") == 0 || strcmp(arguments.kernel_fun, "univariate_matern_nuggets_stationary") == 0) + data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT; + else if(strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious") == 0) + data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT_PARSIMONIOUS_BIVARIATE; + else if(strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious2") == 0) + data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT_PARSIMONIOUS2_BIVARIATE; + if (strcmp(arguments.kernel_fun, "univariate_matern_non_gaussian") == 0 || + strcmp(arguments.kernel_fun, "univariate_exp_non_gaussian") == 0) + data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT_NON_GAUSSIAN; + } + else + { - if(strcmp(arguments.kernel_fun, "univariate_spacetime_matern_stationary") == 0) - p = data.time_slots; + if(strcmp(arguments.kernel_fun, "univariate_matern_stationary") == 0 || strcmp(arguments.kernel_fun, "univariate_matern_nuggets_stationary") == 0) + data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT_POINT; + else if(strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious") == 0) + data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT_PARSIMONIOUS_BIVARIATE_POINT; + else if(strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious2") == 0) + data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT_PARSIMONIOUS2_BIVARIATE_POINT; + if (strcmp(arguments.kernel_fun, "univariate_matern_non_gaussian") == 0 || + strcmp(arguments.kernel_fun, "univariate_exp_non_gaussian") == 0) + data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT_NON_GAUSSIAN_POINT; + } + } - if(strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious2") == 0 - || strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious2_profile") == 0 - ) - { - if(N%dts !=0) - { - printf("please use N divisible by dts, only with parsimonious2\n"); - exit(0); - } +#endif - } - int nZobs = strcmp(data.actualZFPath,"") == 0? (N-nZmiss) : N; - //To support multivariate case - N= p*N; - - exageostat_init(&ncores, &gpus, &dts, <s); - // Optimizater initialization - //NLOPT_LN_BOBYQA - opt=nlopt_create(NLOPT_LN_BOBYQA, num_params); - init_optimizer(&opt, lb, up, pow(10, -1.0 * data.opt_tol)); - nlopt_set_maxeval(opt, data.opt_max_iters); - data.precision = 0; - //nomral random generation of e -- ei~N(0, 1) to generate Z - double *Nrand = (double *) malloc (N * zvecs * sizeof(double)); - printf("Precision: %d,\n", data.precision); - LAPACKE_dlarnv(3, iseed, N*zvecs, Nrand); - //LAPACKE_slarnv(3, iseed, N*zvecs, Nrand); - - // for(i=0;i data.l1.x[i]) - x_min = data.l1.x[i]; - if(y_max < data.l1.y[i]) - y_max = data.l1.y[i]; - if(y_max > data.l1.y[i]) - y_max = data.l1.y[i]; - } - - data.lm.x[0] = x_min + (x_max-x_min)/2; - data.lm.y[0] = y_min + (y_max-y_min)/2; - printf(" The central point is ( %f, %f)\n", data.lm.x[0], data.lm.y[0]); - } - //*************************** + for (i = 0; i < zvecs; i++) { + //output + results.z_sample = i; + print_summary(test, N, ncores, gpus, dts, lts, data.computation, zvecs, p_grid, q_grid, data.precision); - if(strcmp (data.computation, "exact") == 0) - { - if(data.precision == 0) - MORSE_dmle_Call(&data, ncores, gpus, dts, p_grid, q_grid, N, nZobs, nZmiss); - else - MORSE_smle_Call(&data, ncores, gpus, dts, p_grid, q_grid, N, nZobs, nZmiss); - } - else if (strcmp (data.computation, "diag_approx") == 0) - MORSE_dmle_diag_Call(&data, ncores, gpus, dts, p_grid, q_grid, N, nZobs, nZmiss); -#if defined(EXAGEOSTAT_USE_HICMA) - else if (strcmp (data.computation, "lr_approx") == 0) - { - HICMA_dmle_Call(&data, ncores, gpus, lts, p_grid, q_grid, N, nZobs, nZmiss); - if (test == 1) - { - - if(strcmp(arguments.kernel_fun, "univariate_matern_stationary") == 0 || strcmp(arguments.kernel_fun, "univariate_matern_nuggets_stationary") == 0) - data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT; - else if(strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious") == 0) - data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT_PARSIMONIOUS_BIVARIATE; - else if(strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious2") == 0) - data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT_PARSIMONIOUS2_BIVARIATE; - } - else - { - - if(strcmp(arguments.kernel_fun, "univariate_matern_stationary") == 0 || strcmp(arguments.kernel_fun, "univariate_matern_nuggets_stationary") == 0) - data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT_POINT; - else if(strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious") == 0) - data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT_PARSIMONIOUS_BIVARIATE_POINT; - else if(strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious2") == 0) - data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT_PARSIMONIOUS2_BIVARIATE_POINT; - } - } -#endif - - - for(i=0;i data.l1.x[i]) + x_min = data.l1.x[i]; + if (y_max < data.l1.y[i]) + y_max = data.l1.y[i]; + if (y_max > data.l1.y[i]) + y_max = data.l1.y[i]; } - else - { - fprintf(stderr,"Choosen kernel is not exist(4)!\n"); - fprintf(stderr, "Called function is: %s\n",__func__); - exit(0); - } - - - double* lb = (double *) malloc(num_params * sizeof(double)); - double* up = (double *) malloc(num_params * sizeof(double)); - int iseed[4]={seed, seed, seed, 1}; - - //Memory allocation - starting_theta = (double *) malloc(num_params * sizeof(double)); - initial_theta = (double *) malloc(num_params * sizeof(double)); - target_theta = (double *) malloc(num_params * sizeof(double)); - - //MLE_data data initialization - init(&test, &N, &ncores, - &gpus, &p_grid, &q_grid, - &zvecs, &dts, <s, - &nZmiss, &log, initial_theta, - starting_theta, target_theta, lb, - up, &data, &arguments); - - - if(strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious2") == 0 - || strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious2_profile") == 0 - ) - { - if(N%dts !=0) - { - printf("please use N divisible by dts, only with parsimonious2\n"); - exit(0); - } - - } - - int nZobs = strcmp(data.actualZFPath,"") == 0? (N-nZmiss) : N; - //To support multivariate case - N= p*N; - - exageostat_init(&ncores, &gpus, &dts, <s); - // Optimizater initialization - //NLOPT_LN_BOBYQA - opt=nlopt_create(NLOPT_LN_BOBYQA, num_params); - init_optimizer(&opt, lb, up, pow(10, -1.0 * data.opt_tol)); - nlopt_set_maxeval(opt, data.opt_max_iters); - data.precision = 2; - //nomral random generation of e -- ei~N(0, 1) to generate Z - double *Nrand = (double *) malloc (N * zvecs * sizeof(double)); - printf("Precision: %d,\n", data.precision); - LAPACKE_dlarnv(3, iseed, N*zvecs, Nrand); - //LAPACKE_slarnv(3, iseed, N*zvecs, Nrand); - - // for(i=0;i data.l1.x[i]) - x_min = data.l1.x[i]; - if(y_max < data.l1.y[i]) - y_max = data.l1.y[i]; - if(y_max > data.l1.y[i]) - y_max = data.l1.y[i]; - } - - data.lm.x[0] = x_min + (x_max-x_min)/2; - data.lm.y[0] = y_min + (y_max-y_min)/2; - printf(" The central point is ( %f, %f)\n", data.lm.x[0], data.lm.y[0]); - } - //*************************** - if(strcmp (data.computation, "exact") == 0) - { - MORSE_sdmle_Call(&data, ncores, gpus, dts, p_grid, q_grid, N, nZobs, nZmiss); - MORSE_MLE_sdregister_Tile (&data); - } -/* else if (strcmp (data.computation, "diag_approx") == 0) - MORSE_dmle_diag_Call(&data, ncores, gpus, dts, p_grid, q_grid, N, nZobs, nZmiss); -#if defined(EXAGEOSTAT_USE_HICMA) - else if (strcmp (data.computation, "lr_approx") == 0) - { - HICMA_dmle_Call(&data, ncores, gpus, lts, p_grid, q_grid, N, nZobs, nZmiss); - if (test == 1) - { - - if(strcmp(arguments.kernel_fun, "univariate_matern_stationary") == 0 || strcmp(arguments.kernel_fun, "univariate_matern_nuggets_stationary") == 0) - data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT; - else if(strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious") == 0) - data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT_PARSIMONIOUS_BIVARIATE; - else if(strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious2") == 0) - data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT_PARSIMONIOUS2_BIVARIATE; - } - else - { - - if(strcmp(arguments.kernel_fun, "univariate_matern_stationary") == 0 || strcmp(arguments.kernel_fun, "univariate_matern_nuggets_stationary") == 0) - data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT_POINT; - else if(strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious") == 0) - data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT_PARSIMONIOUS_BIVARIATE_POINT; - else if(strcmp(arguments.kernel_fun, "bivariate_matern_parsimonious2") == 0) - data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT_PARSIMONIOUS2_BIVARIATE_POINT; - } - } -#endif -*/ - - for(i=0;i data.l1.x[i]) + x_min = data.l1.x[i]; + if (y_max < data.l1.y[i]) + y_max = data.l1.y[i]; + if (y_max > data.l1.y[i]) + y_max = data.l1.y[i]; + } + + data.lm.x[0] = x_min + (x_max - x_min) / 2; + data.lm.y[0] = y_min + (y_max - y_min) / 2; + printf(" The central point is ( %f, %f)\n", data.lm.x[0], data.lm.y[0]); + } + //*************************** + + + if (strcmp(data.computation, "exact") == 0) { + if (strcmp(arguments.kernel_fun, "univariate_matern_non_gaussian") == 0 || + strcmp(arguments.kernel_fun, "univariate_exp_non_gaussian") == 0) { + EXAGEOSTAT_dmle_ng_Call(&data, ncores, gpus, dts, p_grid, q_grid, N, nZobs, nZmiss); + } else { + if (data.precision == 0) + EXAGEOSTAT_dmle_Call(&data, ncores, gpus, dts, p_grid, q_grid, N, nZobs, nZmiss); + else + EXAGEOSTAT_smle_Call(&data, ncores, gpus, dts, p_grid, q_grid, N, nZobs, nZmiss); + } + } else if (strcmp(data.computation, "diag_approx") == 0) + EXAGEOSTAT_dmle_diag_Call(&data, ncores, gpus, dts, p_grid, q_grid, N, nZobs, nZmiss); #if defined(EXAGEOSTAT_USE_HICMA) - else if (strcmp (data.computation, "lr_approx") == 0) - { - HICMA_dmle_Call(&data, ncores, gpus, lts, p_grid, q_grid, N, nZobs, nZmiss); - if (test == 1) - { - data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT; - printf("test case: HICMA_STARSH_PROB_GEOSTAT\n"); - } - else - data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT_POINT; - } -#endif - - - for(i=0;i +#include +#include +#include "chameleon/struct.h" +#include "chameleon/tasks.h" #ifdef __cplusplus extern "C" { #endif -/******************************************************************************* +/* + * Get environment variable + */ +#if defined(CHAMELEON_OS_WINDOWS) + +static inline int +chameleon_setenv( const char *var, const char *value, int overwrite ) { + return !(SetEnvironmentVariable( var, value )); +} + +static inline char * +chameleon_getenv( const char *var ) { + char *str; + int len = 512; + int rc; + str = (char*)malloc(len * sizeof(char)); + rc = GetEnvironmentVariable(var, str, len); + if (rc == 0) { + free(str); + str = NULL; + } + return str; +} + +static inline void +chameleon_cleanenv( char *str ) { + if (str != NULL) free(str); +} + +#else /* Other OS systems */ + +static inline int +chameleon_setenv(const char *var, const char *value, int overwrite) { + return setenv(var, value, overwrite); +} + +static inline char * +chameleon_getenv(const char *var) { + return getenv(var); +} + +static inline void +chameleon_cleanenv(char *str) { + (void) str; +} + +#endif + + +static inline int +chameleon_env_is_set_to(char *str, char *value) { + char *val; + if ((val = chameleon_getenv(str)) && + !strcmp(val, value)) + return 1; + return 0; +} + +static inline int +chameleon_env_is_on(char *str) { + return chameleon_env_is_set_to(str, "1"); +} + +static inline int +chameleon_env_is_off(char *str) { + return chameleon_env_is_set_to(str, "0"); +} + +static inline int +chameleon_getenv_get_value_int(char *string, int default_value) { + long int ret; + char *str = chameleon_getenv(string); + if (str == NULL) return default_value; + + if (sscanf(str, "%ld", &ret) != 1) { + perror("sscanf"); + return default_value; + } + + return (int) ret; +} + +/** * Internal routines - **/ -void morse_warning (const char *func_name, const char* msg_text); -void morse_error (const char *func_name, const char* msg_text); -void morse_fatal_error (const char *func_name, const char* msg_text); -int morse_rank (MORSE_context_t *morse); -int morse_tune (MORSE_enum func, int M, int N, int NRHS); - -/******************************************************************************* - * API routines - **/ -int MORSE_Version (int *ver_major, int *ver_minor, int *ver_micro); -int MORSE_Element_Size (int type); -int MORSE_My_Mpi_Rank (void); + */ +void chameleon_warning(const char *func_name, const char *msg_text); + +void chameleon_error(const char *func_name, const char *msg_text); + +void chameleon_fatal_error(const char *func_name, const char *msg_text); + +int chameleon_rank(CHAM_context_t *chamctxt); + +int chameleon_tune(cham_tasktype_t func, int M, int N, int NRHS); #ifdef __cplusplus } #endif -#endif +#endif /* _chameleon_auxiliary_h_ */ diff --git a/include/chameleon_starpu.h b/include/chameleon_starpu.h index 81bcc1b..d4b0500 100644 --- a/include/chameleon_starpu.h +++ b/include/chameleon_starpu.h @@ -9,24 +9,24 @@ **/ /** * - * @file morse_starpu.h + * @file chameleon_starpu.h * - * MORSE codelets kernel - * MORSE is a software package provided by Univ. of Tennessee, + * CHAMELEON codelets kernel + * CHAMELEON is a software package provided by Univ. of Tennessee, * Univ. of California Berkeley and Univ. of Colorado Denver, * and INRIA Bordeaux Sud-Ouest * - * @version 1.0.0 + * @version 1.2.0 * @author Mathieu Faverge * @author Cedric Castagnede * @author Florent Pruvost - * @date 2018-11-11 + * @date 2022-11-09 * **/ -#ifndef _MORSE_STARPU_H_ -#define _MORSE_STARPU_H_ +#ifndef _CHAMELEON_STARPU_H_ +#define _CHAMELEON_STARPU_H_ -#include "chameleon/chameleon_config.h" +#include /* StarPU options */ /* #undef HAVE_STARPU_FXT_PROFILING */ @@ -42,7 +42,9 @@ #if defined(CHAMELEON_USE_MPI) #include #else + #include + #endif #include @@ -107,18 +109,19 @@ typedef struct starpu_conf starpu_conf_t; /** * Access to block pointer and leading dimension */ -#define RTBLKADDR( desc, type, m, n ) ( (starpu_data_handle_t)RUNTIME_data_getaddr( desc, m, n ) ) +#define RTBLKADDR(desc, type, m, n) ( (starpu_data_handle_t)RUNTIME_data_getaddr( desc, m, n ) ) + +void RUNTIME_set_reduction_methods(starpu_data_handle_t handle, CHAM_enum dtyp); -void RUNTIME_set_reduction_methods(starpu_data_handle_t handle, MORSE_enum dtyp); #ifdef CHAMELEON_USE_MPI #ifdef HAVE_STARPU_MPI_CACHED_RECEIVE -int RUNTIME_desc_iscached(const MORSE_desc_t *A, int Am, int An); +int RUNTIME_desc_iscached(const CHAM_desc_t *A, int Am, int An); #endif #endif #if defined(CHAMELEON_USE_MPI) # if defined(HAVE_STARPU_MPI_CACHED_RECEIVE) -# define RUNTIME_ACCESS_WRITE_CACHED(A, Am, An) do { if (RUNTIME_desc_iscached(A, Am, An)) __morse_need_submit = 1; } while(0) +# define RUNTIME_ACCESS_WRITE_CACHED(A, Am, An) do { if (RUNTIME_desc_iscached(A, Am, An)) __cham_need_submit = 1; } while(0) # else # warning "WAR dependencies need starpu_mpi_cached_receive support from StarPU 1.2.1 or greater" # define RUNTIME_ACCESS_WRITE_CACHED(A, Am, An) @@ -130,27 +133,27 @@ int RUNTIME_desc_iscached(const MORSE_desc_t *A, int Am, int An); #ifdef CHAMELEON_ENABLE_PRUNING_STATS #define RUNTIME_PRUNING_STATS_BEGIN_ACCESS_DECLARATION \ - int __morse_exec = 0; \ - int __morse_changed = 0; + int __cham_exec = 0; \ + int __cham_changed = 0; #define RUNTIME_PRUNING_STATS_ACCESS_W(A, Am, An) \ - if (morse_desc_islocal(A, Am, An)) \ - __morse_exec = 1; + if (cham_desc_islocal(A, Am, An)) \ + __cham_exec = 1; #define RUNTIME_PRUNING_STATS_END_ACCESS_DECLARATION \ RUNTIME_total_tasks++; \ - if (__morse_exec) \ + if (__cham_exec) \ RUNTIME_exec_tasks++; \ - else if (__morse_need_submit) \ + else if (__cham_need_submit) \ RUNTIME_comm_tasks++; \ - else if (__morse_changed) \ + else if (__cham_changed) \ RUNTIME_changed_tasks++; #define RUNTIME_PRUNING_STATS_RANK_CHANGED(rank) \ - int __morse_myrank; \ - RUNTIME_comm_rank(&__morse_myrank); \ - __morse_exec = (rank) == __morse_myrank; \ - __morse_changed = 1; \ + int __cham_myrank; \ + RUNTIME_comm_rank(&__cham_myrank); \ + __cham_exec = (rank) == __cham_myrank; \ + __cham_changed = 1; \ #else #define RUNTIME_PRUNING_STATS_BEGIN_ACCESS_DECLARATION @@ -178,4 +181,4 @@ int RUNTIME_desc_iscached(const MORSE_desc_t *A, int Am, int An); #define RUNTIME_END_ACCESS_DECLARATION \ RUNTIME_PRUNING_STATS_END_ACCESS_DECLARATION; -#endif /* _MORSE_STARPU_H_ */ +#endif /* _CHAMELEON_STARPU_H_ */ diff --git a/include/common.h b/include/common.h index ac9c8ff..9f9742d 100644 --- a/include/common.h +++ b/include/common.h @@ -7,52 +7,66 @@ * @copyright (c) 2012-2014 Bordeaux INP, CNRS (LaBRI UMR 5800), Inria, Univ. Bordeaux. All rights reserved. * **/ - /** * * @file common.h * - * MORSE codelets kernel - * MORSE is a software package provided by Univ. of Tennessee, - * Univ. of California Berkeley and Univ. of Colorado Denver, - * and INRIA Bordeaux Sud-Ouest + * @copyright 2009-2014 The University of Tennessee and The University of + * Tennessee Research Foundation. All rights reserved. + * @copyright 2012-2022 Bordeaux INP, CNRS (LaBRI UMR 5800), Inria, + * Univ. Bordeaux. All rights reserved. + * + *** + * + * @brief Chameleon common header file * - * @version 1.0.0 + * @version 1.2.0 * @author Mathieu Faverge * @author Cedric Castagnede - * @date 2018-11-11 + * @author Florent Pruvost + * @date 2022-11-09 * - **/ + */ +/** + * CHAMELEON facilities of interest to both CHAMELEON core developer + * and also of interest to CHAMELEON community contributor. + */ -/******************************************************************************* - * MORSE facilities of interest to both MORSE core developer - * and also of interest to MORSE community contributor. - **/ -#ifndef _MORSE_COMMON_H_ -#define _MORSE_COMMON_H_ +#ifndef _CHAMELEON_COMMON_H_ +#define _CHAMELEON_COMMON_H_ + +#define _GNU_SOURCE 1 + +#include +#include +#include + +/** + * Chameleon header files + */ +#include "chameleon.h" #if defined( _WIN32 ) || defined( _WIN64 ) #include #else + #include + #endif -/** **************************************************************************** +/** * Implementation headers - **/ + */ #if defined(CHAMELEON_USE_CUDA) && !defined(CHAMELEON_SIMULATION) #include #include #include -#if defined(CHAMELEON_USE_CUBLAS_V2) #include #include -#else -#include -#endif #endif + #if defined(CHAMELEON_USE_OPENCL) && !defined(CHAMELEON_SIMULATION) #include #endif @@ -61,10 +75,10 @@ #include #endif -/** **************************************************************************** +/** * Line to avoid conflict with other linear algebra libraries, because, we * don't know why but lapacke provide a wrong interface of lapack in fortran - **/ + */ #ifndef LAPACK_NAME #define LAPACK_NAME(a, b) lapackef77_##a #endif @@ -72,67 +86,61 @@ /** **************************************************************************** * Chameleon header files **/ -#include "morse.h" - #include "global.h" #include "auxiliary.h" #include "context.h" #include "descriptor.h" -#include "tile.h" #include "async.h" -/******************************************************************************* +/** * Global shortcuts - **/ -#define MORSE_RANK morse_rank(morse) -#define MORSE_SIZE morse->world_size -#define MORSE_GRPSIZE morse->group_size -#define MORSE_NB morse->nb -#define MORSE_IB morse->ib -#define MORSE_NBNBSIZE morse->nbnbsize -#define MORSE_IBNBSIZE morse->ibnbsize -#define MORSE_SCHEDULING morse->scheduling -#define MORSE_RHBLK morse->rhblock -#define MORSE_TRANSLATION morse->translation -#define MORSE_PARALLEL morse->parallel_enabled -#define MORSE_PROFILING morse->profiling_enabled -#if defined(CHAMELEON_USE_MPI) -#define MORSE_MPI_RANK morse->my_mpi_rank -#define MORSE_MPI_SIZE morse->mpi_comm_size -#endif + */ +#define CHAMELEON_RANK chameleon_rank(chamctxt) +#define CHAMELEON_NB chamctxt->nb +#define CHAMELEON_IB chamctxt->ib +#define CHAMELEON_RHBLK chamctxt->rhblock +#define CHAMELEON_TRANSLATION chamctxt->translation +#define CHAMELEON_PARALLEL chamctxt->parallel_enabled +#define CHAMELEON_STATISTICS chamctxt->statistics_enabled -/******************************************************************************* +/** * IPT internal define - **/ -#define MorseIPT_NoDep 0 -#define MorseIPT_Panel 1 -#define MorseIPT_All 2 - + */ +#define ChamIPT_NoDep 0 +#define ChamIPT_Panel 1 +#define ChamIPT_All 2 -/******************************************************************************* +/** * Global array of LAPACK constants - **/ -extern char *morse_lapack_constants[]; -#define morse_lapack_const(morse_const) morse_lapack_constants[morse_const][0] + */ +extern char *chameleon_lapack_constants[]; +#define chameleon_lapack_const(chameleon_const) chameleon_lapack_constants[chameleon_const][0] #ifdef __cplusplus extern "C" { #endif -#include "compute_s.h" -#include "compute_d.h" -//#include "compute_ds.h" -#define COMPLEX -#include "compute_c.h" -#include "compute_z.h" -#undef COMPLEX - -/* -void morse_pdlag2s(MORSE_context_t *morse); -void morse_pzlag2c(MORSE_context_t *morse); -void morse_pslag2d(MORSE_context_t *morse); -void morse_pclag2z(MORSE_context_t *morse); -*/ +void chameleon_pmap(cham_uplo_t uplo, CHAM_desc_t *A, + cham_unary_operator_t operator, void *op_args, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +#if defined(__GNUC__) + +static inline int chameleon_asprintf(char **strp, const char *fmt, ...) __attribute__((format(printf, 2, 3))); + +#endif + +static inline int chameleon_asprintf(char **strp, const char *fmt, ...) { + va_list ap; + int rc; + + va_start(ap, fmt); + rc = vsprintf(strp, fmt, ap); + va_end(ap); + + assert(rc != -1); + return rc; +} #ifdef __cplusplus } diff --git a/include/compute_c.h b/include/compute_c.h deleted file mode 100644 index d536029..0000000 --- a/include/compute_c.h +++ /dev/null @@ -1,173 +0,0 @@ -/** - * - * @copyright (c) 2009-2014 The University of Tennessee and The University - * of Tennessee Research Foundation. - * All rights reserved. - * @copyright (c) 2012-2014 Inria. All rights reserved. - * @copyright (c) 2012-2014 Bordeaux INP, CNRS (LaBRI UMR 5800), Inria, Univ. Bordeaux. All rights reserved. - * - **/ - -/** - * - * @file compute_c.h - * - * MORSE auxiliary routines - * MORSE is a software package provided by Univ. of Tennessee, - * Univ. of California Berkeley and Univ. of Colorado Denver - * - * @version 1.0.0 - * @comment This file has been automatically generated - * from Plasma 2.5.0 for MORSE 1.0.0 - * @author Jakub Kurzak - * @author Mathieu Faverge - * @author Emmanuel Agullo - * @author Cedric Castagnede - * @date 2018-11-11 - * @generated c Fri Dec 1 14:38:09 2017 - * - **/ - -/***************************************************************************//** - * Macro for matrix conversion / Lapack interface - **/ -#define morse_cdesc_alloc_diag(descA, mb, nb, lm, ln, i, j, m, n, p, q) \ - descA = morse_desc_init_diag( \ - MorseComplexFloat, (mb), (nb), ((mb)*(nb)), \ - (m), (n), (i), (j), (m), (n), p, q); \ - morse_desc_mat_alloc( &(descA) ); - -#define morse_cdesc_alloc( descA, mb, nb, lm, ln, i, j, m, n, free) \ - descA = morse_desc_init( \ - MorseComplexFloat, (mb), (nb), ((mb)*(nb)), \ - (m), (n), (i), (j), (m), (n), 1, 1); \ - if ( morse_desc_mat_alloc( &(descA) ) ) { \ - morse_error( __func__, "morse_desc_mat_alloc() failed"); \ - {free;}; \ - return MORSE_ERR_OUT_OF_RESOURCES; \ - } - -#define morse_cooplap2tile( descA, A, mb, nb, lm, ln, i, j, m, n, seq, req, free) \ - descA = morse_desc_init( \ - MorseComplexFloat, (mb), (nb), ((mb)*(nb)), \ - (lm), (ln), (i), (j), (m), (n), 1, 1); \ - if ( morse_desc_mat_alloc( &(descA) ) ) { \ - morse_error( __func__, "morse_desc_mat_alloc() failed"); \ - {free;}; \ - return MORSE_ERR_OUT_OF_RESOURCES; \ - } \ - morse_pclapack_to_tile(A, lm, &descA, seq, req); - -#define morse_ciplap2tile( descA, A, mb, nb, lm, ln, i, j, m, n, seq, req) \ - descA = morse_desc_init( \ - MorseComplexFloat, (mb), (nb), ((mb)*(nb)), \ - (lm), (ln), (i), (j), (m), (n), 1, 1); \ - descA.mat = A; \ - MORSE_cgecfi_Async((lm), (ln), (A), MorseCM, (mb), (nb), \ - MorseCCRB, (mb), (nb), (seq), (req)); - - -#define morse_cooptile2lap( descA, A, mb, nb, lm, ln, seq, req) \ - morse_pctile_to_lapack(&descA, A, lm, seq, req); - -#define morse_ciptile2lap( descA, A, mb, nb, lm, ln, seq, req) \ - MORSE_cgecfi_Async((lm), (ln), (A), MorseCCRB, (mb), (nb), \ - MorseCM, (mb), (nb), (seq), (req)); - -/***************************************************************************//** - * Declarations of internal sequential functions - **/ -int morse_cshift(MORSE_context_t *morse, int m, int n, MORSE_Complex32_t *A, - int nprob, int me, int ne, int L, - MORSE_sequence_t *sequence, MORSE_request_t *request); - -/***************************************************************************//** - * Declarations of parallel functions (dynamic scheduling) - alphabetical order - **/ -void morse_pcbarrier_pnl2tl(MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcbarrier_row2tl(MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcbarrier_tl2pnl(MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcbarrier_tl2row(MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcgebrd_gb2bd(MORSE_enum uplo, MORSE_desc_t *A, float *D, float *E, MORSE_desc_t *T, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcgebrd_ge2gb(MORSE_desc_t A, MORSE_desc_t T, MORSE_desc_t D, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcgelqf(MORSE_desc_t *A, MORSE_desc_t *T, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcgelqfrh(MORSE_desc_t *A, MORSE_desc_t *T, MORSE_desc_t *D, int BS, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcgemm(MORSE_enum transA, MORSE_enum transB, MORSE_Complex32_t alpha, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_Complex32_t beta, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcgeqrf(MORSE_desc_t *A, MORSE_desc_t *T, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcgeqrfrh(MORSE_desc_t *A, MORSE_desc_t *T, MORSE_desc_t *D, int BS, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcgetmi2(MORSE_enum idep, MORSE_enum odep, MORSE_enum storev, int m, int n, int mb, int nb, MORSE_Complex32_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcgetrf_incpiv(MORSE_desc_t *A, MORSE_desc_t *L, int *IPIV, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcgetrf_nopiv(MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcgetrf_reclap(MORSE_desc_t *A, int *IPIV, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcgetrf_rectil(MORSE_desc_t *A, int *IPIV, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pchegst(MORSE_enum itype, MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_sequence_t *sequence, MORSE_request_t *request); -#ifdef COMPLEX -void morse_pchemm(MORSE_enum side, MORSE_enum uplo, MORSE_Complex32_t alpha, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_Complex32_t beta, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcherk(MORSE_enum uplo, MORSE_enum trans, float alpha, MORSE_desc_t *A, float beta, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcher2k(MORSE_enum uplo, MORSE_enum trans, MORSE_Complex32_t alpha, MORSE_desc_t *A, MORSE_desc_t *B, float beta, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -#endif -void morse_pchetrd_he2hb(MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *T, MORSE_desc_t *E, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pclacpy(MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pclag2z(MORSE_desc_t *A, MORSE_desc_t *SB, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pclange(MORSE_enum norm, MORSE_desc_t *A, float *result, MORSE_sequence_t *sequence, MORSE_request_t *request); -#ifdef COMPLEX -void morse_pclanhe(MORSE_enum norm, MORSE_enum uplo, MORSE_desc_t *A, float *result, MORSE_sequence_t *sequence, MORSE_request_t *request); -#endif -void morse_pclansy(MORSE_enum norm, MORSE_enum uplo, MORSE_desc_t *A, float *result, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pclantr(MORSE_enum norm, MORSE_enum uplo, MORSE_enum diag, MORSE_desc_t *A, float *result, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pclascal(MORSE_enum uplo, MORSE_Complex32_t alpha, MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pclaset( MORSE_enum uplo, MORSE_Complex32_t alpha, MORSE_Complex32_t beta, MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pclaset2(MORSE_enum uplo, MORSE_Complex32_t alpha, MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pclaswp(MORSE_desc_t *B, int *IPIV, int inc, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pclaswpc(MORSE_desc_t *B, int *IPIV, int inc, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pclauum(MORSE_enum uplo, MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -#ifdef COMPLEX -void morse_pcplghe(float bump, MORSE_enum uplo, MORSE_desc_t *A, unsigned long long int seed, MORSE_sequence_t *sequence, MORSE_request_t *request ); -#endif -void morse_pcplgsy(MORSE_Complex32_t bump, MORSE_enum uplo, MORSE_desc_t *A, unsigned long long int seed, MORSE_sequence_t *sequence, MORSE_request_t *request ); -void morse_pcplrnt(MORSE_desc_t *A, unsigned long long int seed, MORSE_sequence_t *sequence, MORSE_request_t *request ); -void morse_pcpotrf(MORSE_enum uplo, MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcpotrimm(MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcshift(int, int, int, MORSE_Complex32_t *, int *, int, int, int, MORSE_sequence_t*, MORSE_request_t*); -void morse_pcsymm(MORSE_enum side, MORSE_enum uplo, MORSE_Complex32_t alpha, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_Complex32_t beta, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcsyrk(MORSE_enum uplo, MORSE_enum trans, MORSE_Complex32_t alpha, MORSE_desc_t *A, MORSE_Complex32_t beta, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcsyr2k(MORSE_enum uplo, MORSE_enum trans, MORSE_Complex32_t alpha, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_Complex32_t beta, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcsytrf(MORSE_enum uplo, MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pctile2band(MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *descAB, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pctpgqrt( int L, MORSE_desc_t *V1, MORSE_desc_t *T1, MORSE_desc_t *V2, MORSE_desc_t *T2, MORSE_desc_t *Q1, MORSE_desc_t *Q2, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request ); -void morse_pctpqrt( int L, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *T, MORSE_sequence_t *sequence, MORSE_request_t *request ); -void morse_pctradd(MORSE_enum uplo, MORSE_enum trans, MORSE_Complex32_t alpha, MORSE_desc_t *A, MORSE_Complex32_t beta, MORSE_desc_t *B, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pctrmm(MORSE_enum side, MORSE_enum uplo, MORSE_enum transA, MORSE_enum diag, MORSE_Complex32_t alpha, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pctrsm(MORSE_enum side, MORSE_enum uplo, MORSE_enum transA, MORSE_enum diag, MORSE_Complex32_t alpha, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pctrsmpl(MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *L, int *IPIV, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pctrsmrv(MORSE_enum side, MORSE_enum uplo, MORSE_enum transA, MORSE_enum diag, MORSE_Complex32_t alpha, MORSE_desc_t *A, MORSE_desc_t *W, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pctrtri(MORSE_enum uplo, MORSE_enum diag, MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcungbr(MORSE_enum side, MORSE_desc_t *A, MORSE_desc_t *O, MORSE_desc_t *T, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcungbrrh(MORSE_enum side, MORSE_desc_t *A, MORSE_desc_t *O, MORSE_desc_t *T, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcungqr(MORSE_desc_t *A, MORSE_desc_t *Q, MORSE_desc_t *T, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcungqrrh(MORSE_desc_t *A, MORSE_desc_t *Q, MORSE_desc_t *T, MORSE_desc_t *D,int BS, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcunglq(MORSE_desc_t *A, MORSE_desc_t *Q, MORSE_desc_t *T, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcunglqrh(MORSE_desc_t *A, MORSE_desc_t *Q, MORSE_desc_t *T, MORSE_desc_t *D, int BS, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcungtr(MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *Q, MORSE_desc_t *T, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcunmqr(MORSE_enum side, MORSE_enum trans, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *T, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcunmqrrh(MORSE_enum side, MORSE_enum trans, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *T, MORSE_desc_t *D, int BS, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcunmlq(MORSE_enum side, MORSE_enum trans, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *T, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcunmlqrh(MORSE_enum side, MORSE_enum trans, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *T, MORSE_desc_t *D, int BS, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcbuild( MORSE_enum uplo, MORSE_desc_t *A, void *user_data, void* user_build_callback, MORSE_sequence_t *sequence, MORSE_request_t *request ); - -void morse_pcgelqf_param(const libhqr_tree_t *qrtree, MORSE_desc_t *A, MORSE_desc_t *TS, MORSE_desc_t *TT, MORSE_desc_t *D, - MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcgeqrf_param(const libhqr_tree_t *qrtree, MORSE_desc_t *A, MORSE_desc_t *TS, MORSE_desc_t *TT, MORSE_desc_t *D, - MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcunmlq_param(const libhqr_tree_t *qrtree, MORSE_enum side, MORSE_enum trans, - MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *TS, MORSE_desc_t *TT, MORSE_desc_t *D, - MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcunmqr_param(const libhqr_tree_t *qrtree, MORSE_enum side, MORSE_enum trans, - MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *TS, MORSE_desc_t *TT, MORSE_desc_t *D, - MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcunglq_param(const libhqr_tree_t *qrtree, MORSE_desc_t *A, MORSE_desc_t *Q, - MORSE_desc_t *TS, MORSE_desc_t *TT, MORSE_desc_t *D, - MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pcungqr_param(const libhqr_tree_t *qrtree, MORSE_desc_t *A, MORSE_desc_t *Q, - MORSE_desc_t *TS, MORSE_desc_t *TT, MORSE_desc_t *D, - MORSE_sequence_t *sequence, MORSE_request_t *request); diff --git a/include/compute_d.h b/include/compute_d.h index 0e6bfa6..4e55101 100644 --- a/include/compute_d.h +++ b/include/compute_d.h @@ -11,136 +11,263 @@ * * @brief Chameleon computational functions header * - * @version 1.0.0 + * @version 1.2.0 * @comment This file has been automatically generated - * from Plasma 2.5.0 for MORSE 1.0.0 + * from Plasma 2.5.0 for CHAMELEON 1.0.0 * @author Jakub Kurzak * @author Mathieu Faverge * @author Emmanuel Agullo * @author Cedric Castagnede - * @date 2018-11-11 + * @date 2022-11-09 * @generated d Wed Oct 31 11:23:28 2018 * */ /** * LAPACK/Tile Descriptor accesses */ -#define MorseDescInput 1 -#define MorseDescOutput 2 -#define MorseDescInout (MorseDescInput | MorseDescOutput) +#include +#include +#include + +#define ChamDescInput 1 +#define ChamDescOutput 2 +#define ChamDescInout (ChamDescInput | ChamDescOutput) /** * Macro for matrix conversion / Lapack interface */ -#define morse_ddesc_alloc_diag( descA, mb, nb, lm, ln, i, j, m, n, p, q) \ - descA = morse_desc_init_diag( \ - MorseRealDouble, (mb), (nb), ((mb)*(nb)), \ +#define chameleon_ddesc_alloc_diag(descA, mb, nb, lm, ln, i, j, m, n, p, q) \ + descA = chameleon_desc_init_diag( \ + ChamRealDouble, (mb), (nb), ((mb)*(nb)), \ (m), (n), (i), (j), (m), (n), p, q); \ - morse_desc_mat_alloc( &(descA) ); \ + chameleon_desc_mat_alloc( &(descA) ); \ RUNTIME_desc_create( &(descA) ); -#define morse_ddesc_alloc( descA, mb, nb, lm, ln, i, j, m, n, free) \ - descA = morse_desc_init( \ - MorseRealDouble, (mb), (nb), ((mb)*(nb)), \ +#define chameleon_ddesc_alloc(descA, mb, nb, lm, ln, i, j, m, n, free) \ + descA = chameleon_desc_init( \ + ChamRealDouble, (mb), (nb), ((mb)*(nb)), \ (m), (n), (i), (j), (m), (n), 1, 1); \ - if ( morse_desc_mat_alloc( &(descA) ) ) { \ - morse_error( __func__, "morse_desc_mat_alloc() failed"); \ + if ( chameleon_desc_mat_alloc( &(descA) ) ) { \ + chameleon_error( __func__, "chameleon_desc_mat_alloc() failed"); \ {free;}; \ - return MORSE_ERR_OUT_OF_RESOURCES; \ + return CHAMELEON_ERR_OUT_OF_RESOURCES; \ } \ RUNTIME_desc_create( &(descA) ); /** * Declarations of internal sequential functions */ -int morse_dshift(MORSE_context_t *morse, int m, int n, double *A, - int nprob, int me, int ne, int L, - MORSE_sequence_t *sequence, MORSE_request_t *request); +int chameleon_dshift(CHAM_context_t *CHAM, int m, int n, double* A, + int nprob, int me, int ne, int L, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); /** * Declarations of parallel functions (dynamic scheduling) - alphabetical order */ -void morse_pdbarrier_pnl2tl(MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdbarrier_row2tl(MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdbarrier_tl2pnl(MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdbarrier_tl2row(MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdgebrd_gb2bd(MORSE_enum uplo, MORSE_desc_t *A, double *D, double *E, MORSE_desc_t *T, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdgebrd_ge2gb(MORSE_desc_t *A, MORSE_desc_t *T, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdgelqf(MORSE_desc_t *A, MORSE_desc_t *T, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdgelqfrh(MORSE_desc_t *A, MORSE_desc_t *T, MORSE_desc_t *D, int BS, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdgemm(MORSE_enum transA, MORSE_enum transB, double alpha, MORSE_desc_t *A, MORSE_desc_t *B, double beta, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdgeqrf(MORSE_desc_t *A, MORSE_desc_t *T, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdgeqrfrh(MORSE_desc_t *A, MORSE_desc_t *T, MORSE_desc_t *D, int BS, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdgetmi2(MORSE_enum idep, MORSE_enum odep, MORSE_enum storev, int m, int n, int mb, int nb, double *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdgetrf_incpiv(MORSE_desc_t *A, MORSE_desc_t *L, MORSE_desc_t *D, int *IPIV, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdgetrf_nopiv(MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdgetrf_reclap(MORSE_desc_t *A, int *IPIV, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdgetrf_rectil(MORSE_desc_t *A, int *IPIV, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdsygst(MORSE_enum itype, MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdsymm(MORSE_enum side, MORSE_enum uplo, double alpha, MORSE_desc_t *A, MORSE_desc_t *B, double beta, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdsyrk(MORSE_enum uplo, MORSE_enum trans, double alpha, MORSE_desc_t *A, double beta, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdsyr2k(MORSE_enum uplo, MORSE_enum trans, double alpha, MORSE_desc_t *A, MORSE_desc_t *B, double beta, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdsytrd_sy2sb(MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *T, MORSE_desc_t *E, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdlacpy(MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdlag2s(MORSE_desc_t *A, MORSE_desc_t *SB, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdlange(MORSE_enum norm, MORSE_desc_t *A, double *result, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdlansy(MORSE_enum norm, MORSE_enum uplo, MORSE_desc_t *A, double *result, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdlansy(MORSE_enum norm, MORSE_enum uplo, MORSE_desc_t *A, double *result, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdlantr(MORSE_enum norm, MORSE_enum uplo, MORSE_enum diag, MORSE_desc_t *A, double *result, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdlascal(MORSE_enum uplo, double alpha, MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdlaset( MORSE_enum uplo, double alpha, double beta, MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdlaset2(MORSE_enum uplo, double alpha, MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdlaswp(MORSE_desc_t *B, int *IPIV, int inc, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdlaswpc(MORSE_desc_t *B, int *IPIV, int inc, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdlauum(MORSE_enum uplo, MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdplgsy(double bump, MORSE_enum uplo, MORSE_desc_t *A, unsigned long long int seed, MORSE_sequence_t *sequence, MORSE_request_t *request ); -void morse_pdplgsy(double bump, MORSE_enum uplo, MORSE_desc_t *A, unsigned long long int seed, MORSE_sequence_t *sequence, MORSE_request_t *request ); -void morse_pdplrnt(MORSE_desc_t *A, unsigned long long int seed, MORSE_sequence_t *sequence, MORSE_request_t *request ); -void morse_pdpotrf(MORSE_enum uplo, MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdpotrimm(MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdshift(int, int, int, double *, int *, int, int, int, MORSE_sequence_t*, MORSE_request_t*); -void morse_pdsymm(MORSE_enum side, MORSE_enum uplo, double alpha, MORSE_desc_t *A, MORSE_desc_t *B, double beta, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdsyrk(MORSE_enum uplo, MORSE_enum trans, double alpha, MORSE_desc_t *A, double beta, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdsyr2k(MORSE_enum uplo, MORSE_enum trans, double alpha, MORSE_desc_t *A, MORSE_desc_t *B, double beta, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdsytrf(MORSE_enum uplo, MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdtile2band(MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *descAB, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdtpgqrt( int L, MORSE_desc_t *V1, MORSE_desc_t *T1, MORSE_desc_t *V2, MORSE_desc_t *T2, MORSE_desc_t *Q1, MORSE_desc_t *Q2, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request ); -void morse_pdtpqrt( int L, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *T, MORSE_sequence_t *sequence, MORSE_request_t *request ); -void morse_pdtradd(MORSE_enum uplo, MORSE_enum trans, double alpha, MORSE_desc_t *A, double beta, MORSE_desc_t *B, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdtrmm(MORSE_enum side, MORSE_enum uplo, MORSE_enum transA, MORSE_enum diag, double alpha, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdtrsm(MORSE_enum side, MORSE_enum uplo, MORSE_enum transA, MORSE_enum diag, double alpha, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdtrsmpl(MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *L, int *IPIV, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdtrsmrv(MORSE_enum side, MORSE_enum uplo, MORSE_enum transA, MORSE_enum diag, double alpha, MORSE_desc_t *A, MORSE_desc_t *W, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdtrtri(MORSE_enum uplo, MORSE_enum diag, MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdorgbr(MORSE_enum side, MORSE_desc_t *A, MORSE_desc_t *O, MORSE_desc_t *T, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdorgbrrh(MORSE_enum side, MORSE_desc_t *A, MORSE_desc_t *O, MORSE_desc_t *T, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdorgqr(MORSE_desc_t *A, MORSE_desc_t *Q, MORSE_desc_t *T, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdorgqrrh(MORSE_desc_t *A, MORSE_desc_t *Q, MORSE_desc_t *T, MORSE_desc_t *D,int BS, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdorglq(MORSE_desc_t *A, MORSE_desc_t *Q, MORSE_desc_t *T, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdorglqrh(MORSE_desc_t *A, MORSE_desc_t *Q, MORSE_desc_t *T, MORSE_desc_t *D, int BS, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdorgtr(MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *Q, MORSE_desc_t *T, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdormqr(MORSE_enum side, MORSE_enum trans, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *T, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdormqrrh(MORSE_enum side, MORSE_enum trans, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *T, MORSE_desc_t *D, int BS, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdormlq(MORSE_enum side, MORSE_enum trans, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *T, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdormlqrh(MORSE_enum side, MORSE_enum trans, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *T, MORSE_desc_t *D, int BS, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdbuild( MORSE_enum uplo, MORSE_desc_t *A, void *user_data, void* user_build_callback, MORSE_sequence_t *sequence, MORSE_request_t *request ); - -void morse_pdgelqf_param(const libhqr_tree_t *qrtree, MORSE_desc_t *A, MORSE_desc_t *TS, MORSE_desc_t *TT, MORSE_desc_t *D, - MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdgeqrf_param(const libhqr_tree_t *qrtree, MORSE_desc_t *A, MORSE_desc_t *TS, MORSE_desc_t *TT, MORSE_desc_t *D, - MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdormlq_param(const libhqr_tree_t *qrtree, MORSE_enum side, MORSE_enum trans, - MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *TS, MORSE_desc_t *TT, MORSE_desc_t *D, - MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdormqr_param(const libhqr_tree_t *qrtree, MORSE_enum side, MORSE_enum trans, - MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *TS, MORSE_desc_t *TT, MORSE_desc_t *D, - MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdorglq_param(const libhqr_tree_t *qrtree, MORSE_desc_t *A, MORSE_desc_t *Q, - MORSE_desc_t *TS, MORSE_desc_t *TT, MORSE_desc_t *D, - MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdorgqr_param(const libhqr_tree_t *qrtree, MORSE_desc_t *A, MORSE_desc_t *Q, - MORSE_desc_t *TS, MORSE_desc_t *TT, MORSE_desc_t *D, - MORSE_sequence_t *sequence, MORSE_request_t *request); +void chameleon_pdbarrier_pnl2tl(CHAM_desc_t *A, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdbarrier_row2tl(CHAM_desc_t *A, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdbarrier_tl2pnl(CHAM_desc_t *A, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdbarrier_tl2row(CHAM_desc_t *A, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdgebrd_gb2bd(CHAM_enum uplo, CHAM_desc_t *A, double* D, double* E, CHAM_desc_t *T, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdgebrd_ge2gb(CHAM_desc_t *A, CHAM_desc_t *T, CHAM_desc_t *D, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); + +void chameleon_pdgelqf(CHAM_desc_t *A, CHAM_desc_t *T, CHAM_desc_t *D, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); + +void chameleon_pdgelqfrh(CHAM_desc_t *A, CHAM_desc_t *T, CHAM_desc_t *D, int BS, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); + +void chameleon_pdgemm(CHAM_enum transA, CHAM_enum transB, double alpha, CHAM_desc_t *A, CHAM_desc_t *B, double beta, + CHAM_desc_t *C, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdgeqrf(CHAM_desc_t *A, CHAM_desc_t *T, CHAM_desc_t *D, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); + +void chameleon_pdgeqrfrh(CHAM_desc_t *A, CHAM_desc_t *T, CHAM_desc_t *D, int BS, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); + +void chameleon_pdgetmi2(CHAM_enum idep, CHAM_enum odep, CHAM_enum storev, int m, int n, int mb, int nb, double* A, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdgetrf_incpiv(CHAM_desc_t *A, CHAM_desc_t *L, CHAM_desc_t *D, int *IPIV, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); + +void chameleon_pdgetrf_nopiv(CHAM_desc_t *A, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdgetrf_reclap(CHAM_desc_t *A, int *IPIV, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdgetrf_rectil(CHAM_desc_t *A, int *IPIV, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdsygst(CHAM_enum itype, CHAM_enum uplo, CHAM_desc_t *A, CHAM_desc_t *B, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); + +void chameleon_pdsymm(CHAM_enum side, CHAM_enum uplo, double alpha, CHAM_desc_t *A, CHAM_desc_t *B, double beta, + CHAM_desc_t *C, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdsyrk(CHAM_enum uplo, CHAM_enum trans, double alpha, CHAM_desc_t *A, double beta, CHAM_desc_t *C, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdsyr2k(CHAM_enum uplo, CHAM_enum trans, double alpha, CHAM_desc_t *A, CHAM_desc_t *B, double beta, + CHAM_desc_t *C, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void +chameleon_pdsytrd_sy2sb(CHAM_enum uplo, CHAM_desc_t *A, CHAM_desc_t *T, CHAM_desc_t *E, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); + +void chameleon_pdlacpy(CHAM_enum uplo, CHAM_desc_t *A, CHAM_desc_t *B, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); + +void chameleon_pdlag2s(CHAM_desc_t *A, CHAM_desc_t *SB, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdlange(CHAM_enum norm, CHAM_desc_t *A, double* result, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); + +void chameleon_pdlansy(CHAM_enum norm, CHAM_enum uplo, CHAM_desc_t *A, double* result, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); + +void chameleon_pdlansy(CHAM_enum norm, CHAM_enum uplo, CHAM_desc_t *A, double* result, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); + +void chameleon_pdlantr(CHAM_enum norm, CHAM_enum uplo, CHAM_enum diag, CHAM_desc_t *A, double* result, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdlascal(CHAM_enum uplo, double alpha, CHAM_desc_t *A, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); + +void chameleon_pdlaset(CHAM_enum uplo, double alpha, double beta, CHAM_desc_t *A, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); + +void chameleon_pdlaset2(CHAM_enum uplo, double alpha, CHAM_desc_t *A, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); + +void chameleon_pdlaswp(CHAM_desc_t *B, int *IPIV, int inc, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdlaswpc(CHAM_desc_t *B, int *IPIV, int inc, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdlauum(CHAM_enum uplo, CHAM_desc_t *A, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdplgsy(double bump, CHAM_enum uplo, CHAM_desc_t *A, unsigned long long int seed, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdplgsy(double bump, CHAM_enum uplo, CHAM_desc_t *A, unsigned long long int seed, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdplrnt(CHAM_desc_t *A, unsigned long long int seed, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); + +void chameleon_pdpotrf(CHAM_enum uplo, CHAM_desc_t *A, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdpotrimm(CHAM_enum uplo, CHAM_desc_t *A, CHAM_desc_t *B, CHAM_desc_t *C, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); + +void chameleon_pdshift(int, int, int, double* , int *, int, int, int, RUNTIME_sequence_t *, RUNTIME_request_t *); + +void chameleon_pdsymm(CHAM_enum side, CHAM_enum uplo, double alpha, CHAM_desc_t *A, CHAM_desc_t *B, double beta, + CHAM_desc_t *C, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdsyrk(CHAM_enum uplo, CHAM_enum trans, double alpha, CHAM_desc_t *A, double beta, CHAM_desc_t *C, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdsyr2k(CHAM_enum uplo, CHAM_enum trans, double alpha, CHAM_desc_t *A, CHAM_desc_t *B, double beta, + CHAM_desc_t *C, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdsytrf(CHAM_enum uplo, CHAM_desc_t *A, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdtile2band(CHAM_enum uplo, CHAM_desc_t *A, CHAM_desc_t *descAB, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); + +void chameleon_pdtpgqrt(int L, CHAM_desc_t *V1, CHAM_desc_t *T1, CHAM_desc_t *V2, CHAM_desc_t *T2, CHAM_desc_t *Q1, + CHAM_desc_t *Q2, CHAM_desc_t *D, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdtpqrt(int L, CHAM_desc_t *A, CHAM_desc_t *B, CHAM_desc_t *T, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); + +void chameleon_pdtradd(CHAM_enum uplo, CHAM_enum trans, double alpha, CHAM_desc_t *A, double beta, CHAM_desc_t *B, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdtrmm(CHAM_enum side, CHAM_enum uplo, CHAM_enum transA, CHAM_enum diag, double alpha, CHAM_desc_t *A, + CHAM_desc_t *B, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdtrsm(CHAM_enum side, CHAM_enum uplo, CHAM_enum transA, CHAM_enum diag, double alpha, CHAM_desc_t *A, + CHAM_desc_t *B, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdtrsmpl(CHAM_desc_t *A, CHAM_desc_t *B, CHAM_desc_t *L, int *IPIV, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); + +void chameleon_pdtrsmrv(CHAM_enum side, CHAM_enum uplo, CHAM_enum transA, CHAM_enum diag, double alpha, CHAM_desc_t *A, + CHAM_desc_t *W, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdtrtri(CHAM_enum uplo, CHAM_enum diag, CHAM_desc_t *A, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); + +void chameleon_pdorgbr(CHAM_enum side, CHAM_desc_t *A, CHAM_desc_t *O, CHAM_desc_t *T, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); + +void chameleon_pdorgbrrh(CHAM_enum side, CHAM_desc_t *A, CHAM_desc_t *O, CHAM_desc_t *T, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); + +void chameleon_pdorgqr(CHAM_desc_t *A, CHAM_desc_t *Q, CHAM_desc_t *T, CHAM_desc_t *D, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); + +void chameleon_pdorgqrrh(CHAM_desc_t *A, CHAM_desc_t *Q, CHAM_desc_t *T, CHAM_desc_t *D, int BS, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdorglq(CHAM_desc_t *A, CHAM_desc_t *Q, CHAM_desc_t *T, CHAM_desc_t *D, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); + +void chameleon_pdorglqrh(CHAM_desc_t *A, CHAM_desc_t *Q, CHAM_desc_t *T, CHAM_desc_t *D, int BS, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdorgtr(CHAM_enum uplo, CHAM_desc_t *A, CHAM_desc_t *Q, CHAM_desc_t *T, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); + +void chameleon_pdormqr(CHAM_enum side, CHAM_enum trans, CHAM_desc_t *A, CHAM_desc_t *B, CHAM_desc_t *T, CHAM_desc_t *D, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void +chameleon_pdormqrrh(CHAM_enum side, CHAM_enum trans, CHAM_desc_t *A, CHAM_desc_t *B, CHAM_desc_t *T, CHAM_desc_t *D, + int BS, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdormlq(CHAM_enum side, CHAM_enum trans, CHAM_desc_t *A, CHAM_desc_t *B, CHAM_desc_t *T, CHAM_desc_t *D, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void +chameleon_pdormlqrh(CHAM_enum side, CHAM_enum trans, CHAM_desc_t *A, CHAM_desc_t *B, CHAM_desc_t *T, CHAM_desc_t *D, + int BS, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdbuild(CHAM_enum uplo, CHAM_desc_t *A, void *user_data, void *user_build_callback, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void +chameleon_pdgelqf_param(const libhqr_tree_t *qrtree, CHAM_desc_t *A, CHAM_desc_t *TS, CHAM_desc_t *TT, CHAM_desc_t *D, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void +chameleon_pdgeqrf_param(const libhqr_tree_t *qrtree, CHAM_desc_t *A, CHAM_desc_t *TS, CHAM_desc_t *TT, CHAM_desc_t *D, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdormlq_param(const libhqr_tree_t *qrtree, CHAM_enum side, CHAM_enum trans, + CHAM_desc_t *A, CHAM_desc_t *B, CHAM_desc_t *TS, CHAM_desc_t *TT, CHAM_desc_t *D, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdormqr_param(const libhqr_tree_t *qrtree, CHAM_enum side, CHAM_enum trans, + CHAM_desc_t *A, CHAM_desc_t *B, CHAM_desc_t *TS, CHAM_desc_t *TT, CHAM_desc_t *D, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdorglq_param(const libhqr_tree_t *qrtree, CHAM_desc_t *A, CHAM_desc_t *Q, + CHAM_desc_t *TS, CHAM_desc_t *TT, CHAM_desc_t *D, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); + +void chameleon_pdorgqr_param(const libhqr_tree_t *qrtree, CHAM_desc_t *A, CHAM_desc_t *Q, + CHAM_desc_t *TS, CHAM_desc_t *TT, CHAM_desc_t *D, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request); /** @@ -148,51 +275,51 @@ void morse_pdorgqr_param(const libhqr_tree_t *qrtree, MORSE_desc_t *A, MORSE_des * LAPACK interface calls */ static inline int -morse_dlap2tile( MORSE_context_t *morse, - MORSE_desc_t *descAl, MORSE_desc_t *descAt, - MORSE_enum mode, MORSE_enum uplo, - double *A, int mb, int nb, int lm, int ln, int m, int n, - MORSE_sequence_t *seq, MORSE_request_t *req ) -{ +chameleon_dlap2tile(CHAM_context_t *CHAM, + CHAM_desc_t *descAl, CHAM_desc_t *descAt, + CHAM_enum mode, CHAM_enum uplo, + double* A, int mb, int nb, int lm, int ln, int m, int n, + RUNTIME_sequence_t *seq, RUNTIME_request_t *req) { /* Initialize the Lapack descriptor */ - *descAl = morse_desc_init_user( MorseRealDouble, mb, nb, (mb)*(nb), - lm, ln, 0, 0, m, n, 1, 1, - morse_getaddr_cm, morse_getblkldd_cm, NULL ); + void *mat; + int result = chameleon_desc_init(descAt, mat, + ChamRealDouble, mb, nb, (mb) * (nb), + lm, ln, 0, 0, m, n, 1, 1, + chameleon_getaddr_cm, chameleon_getblkldd_cm, NULL); descAl->mat = A; - descAl->styp = MorseCM; + descAl->styp = ChamCM; /* Initialize the tile descriptor */ - *descAt = morse_desc_init( MorseRealDouble, mb, nb, (mb)*(nb), - lm, ln, 0, 0, m, n, 1, 1 ); + result = chameleon_desc_init(descAt, mat, ChamRealDouble, mb, nb, (mb) * (nb), + lm, ln, 0, 0, m, n, 1, 1, chameleon_getaddr_cm, chameleon_getblkldd_cm, NULL); - if ( MORSE_TRANSLATION == MORSE_OUTOFPLACE ) { - if ( morse_desc_mat_alloc( descAt ) ) { - morse_error( "morse_dlap2tile", "morse_desc_mat_alloc() failed"); - return MORSE_ERR_OUT_OF_RESOURCES; - } + CHAM_context_t *chamctxt; + chamctxt = chameleon_context_self(); + if (chamctxt == NULL) { + chameleon_fatal_error("CHAM_diag_dpotrf", "CHAM not initialized"); + return CHAMELEON_ERR_NOT_INITIALIZED; + } + + if (CHAMELEON_TRANSLATION == ChamOutOfPlace) { - RUNTIME_desc_create( descAl ); - RUNTIME_desc_create( descAt ); - if ( mode & MorseDescInput ) { - morse_pdlacpy( uplo, descAl, descAt, seq, req ); + RUNTIME_desc_create(descAl); + RUNTIME_desc_create(descAt); + + if (mode & ChamDescInput) { + chameleon_pdlacpy(uplo, descAl, descAt, seq, req); } - } - else { - morse_fatal_error( "morse_dlap2tile", "INPLACE translation not supported yet"); + } else { + chameleon_fatal_error("chameleon_dlap2tile", "INPLACE translation not supported yet"); descAt->mat = A; - RUNTIME_desc_create( descAl ); - RUNTIME_desc_create( descAt ); + RUNTIME_desc_create(descAl); + RUNTIME_desc_create(descAt); - if ( mode & MorseDescInput ) { - /* MORSE_dgecfi_Async( lm, ln, A, MorseCM, mb, nb, */ - /* MorseCCRB, mb, nb, seq, req ); */ - } - return MORSE_ERR_NOT_SUPPORTED; + return CHAMELEON_ERR_NOT_SUPPORTED; } - return MORSE_SUCCESS; + return CHAMELEON_SUCCESS; } /** @@ -200,27 +327,27 @@ morse_dlap2tile( MORSE_context_t *morse, * in LAPACK interface calls */ static inline int -morse_dtile2lap( MORSE_context_t *morse, MORSE_desc_t *descAl, MORSE_desc_t *descAt, - MORSE_enum mode, MORSE_enum uplo, MORSE_sequence_t *seq, MORSE_request_t *req ) -{ - if ( MORSE_TRANSLATION == MORSE_OUTOFPLACE ) { - if ( mode & MorseDescOutput ) { - morse_pdlacpy( uplo, descAt, descAl, seq, req ); - } +chameleon_dtile2lap(CHAM_context_t *CHAM, CHAM_desc_t *descAl, CHAM_desc_t *descAt, + CHAM_enum mode, CHAM_enum uplo, RUNTIME_sequence_t *seq, RUNTIME_request_t *req) { + CHAM_context_t *chamctxt; + chamctxt = chameleon_context_self(); + if (chamctxt == NULL) { + chameleon_fatal_error("CHAM_diag_dpotrf", "CHAM not initialized"); + return CHAMELEON_ERR_NOT_INITIALIZED; } - else { - morse_fatal_error( "morse_dtile2lap", "INPLACE translation not supported yet"); - if ( mode & MorseDescOutput ) { - /* MORSE_dgecfi_Async( descAl->lm, descAl->ln, descAl->mat, */ - /* MorseCCRB, descAl->mb, descAl->nb, */ - /* MorseCM, descAl->mb, descAl->nb, seq, req ); */ + + if (CHAMELEON_TRANSLATION == ChamOutOfPlace) { + if (mode & ChamDescOutput) { + chameleon_pdlacpy(uplo, descAt, descAl, seq, req); } - return MORSE_ERR_NOT_SUPPORTED; + } else { + chameleon_fatal_error("chameleon_dtile2lap", "INPLACE translation not supported yet"); + return CHAMELEON_ERR_NOT_SUPPORTED; } - RUNTIME_desc_flush( descAl, seq ); - RUNTIME_desc_flush( descAt, seq ); + RUNTIME_desc_flush(descAl, seq); + RUNTIME_desc_flush(descAt, seq); - return MORSE_SUCCESS; + return CHAMELEON_SUCCESS; } /** @@ -228,11 +355,14 @@ morse_dtile2lap( MORSE_context_t *morse, MORSE_desc_t *descAl, MORSE_desc_t *des * conversions in LAPACK interface calls */ static inline void -morse_dtile2lap_cleanup( MORSE_context_t *morse, MORSE_desc_t *descAl, MORSE_desc_t *descAt ) -{ - if ( MORSE_TRANSLATION == MORSE_OUTOFPLACE ) { - morse_desc_mat_free( descAt ); +chameleon_dtile2lap_cleanup(CHAM_context_t *CHAM, CHAM_desc_t *descAl, CHAM_desc_t *descAt) { + CHAM_context_t *chamctxt; + chamctxt = chameleon_context_self(); + + + if (CHAMELEON_TRANSLATION == ChamOutOfPlace) { + chameleon_desc_destroy(descAt); } - RUNTIME_desc_destroy( descAl ); - RUNTIME_desc_destroy( descAt ); + RUNTIME_desc_destroy(descAl); + RUNTIME_desc_destroy(descAt); } diff --git a/include/compute_s.h b/include/compute_s.h deleted file mode 100644 index b38625a..0000000 --- a/include/compute_s.h +++ /dev/null @@ -1,173 +0,0 @@ -/** - * - * @copyright (c) 2009-2014 The University of Tennessee and The University - * of Tennessee Research Foundation. - * All rights reserved. - * @copyright (c) 2012-2014 Inria. All rights reserved. - * @copyright (c) 2012-2014 Bordeaux INP, CNRS (LaBRI UMR 5800), Inria, Univ. Bordeaux. All rights reserved. - * - **/ - -/** - * - * @file compute_s.h - * - * MORSE auxiliary routines - * MORSE is a software package provided by Univ. of Tennessee, - * Univ. of California Berkeley and Univ. of Colorado Denver - * - * @version 1.0.0 - * @comment This file has been automatically generated - * from Plasma 2.5.0 for MORSE 1.0.0 - * @author Jakub Kurzak - * @author Mathieu Faverge - * @author Emmanuel Agullo - * @author Cedric Castagnede - * @date 2018-11-11 - * @generated s Fri Dec 1 14:38:09 2017 - * - **/ - -/***************************************************************************//** - * Macro for matrix conversion / Lapack interface - **/ -#define morse_sdesc_alloc_diag(descA, mb, nb, lm, ln, i, j, m, n, p, q) \ - descA = morse_desc_init_diag( \ - MorseRealFloat, (mb), (nb), ((mb)*(nb)), \ - (m), (n), (i), (j), (m), (n), p, q); \ - morse_desc_mat_alloc( &(descA) ); - -#define morse_sdesc_alloc( descA, mb, nb, lm, ln, i, j, m, n, free) \ - descA = morse_desc_init( \ - MorseRealFloat, (mb), (nb), ((mb)*(nb)), \ - (m), (n), (i), (j), (m), (n), 1, 1); \ - if ( morse_desc_mat_alloc( &(descA) ) ) { \ - morse_error( __func__, "morse_desc_mat_alloc() failed"); \ - {free;}; \ - return MORSE_ERR_OUT_OF_RESOURCES; \ - } - -#define morse_sooplap2tile( descA, A, mb, nb, lm, ln, i, j, m, n, seq, req, free) \ - descA = morse_desc_init( \ - MorseRealFloat, (mb), (nb), ((mb)*(nb)), \ - (lm), (ln), (i), (j), (m), (n), 1, 1); \ - if ( morse_desc_mat_alloc( &(descA) ) ) { \ - morse_error( __func__, "morse_desc_mat_alloc() failed"); \ - {free;}; \ - return MORSE_ERR_OUT_OF_RESOURCES; \ - } \ - morse_pslapack_to_tile(A, lm, &descA, seq, req); - -#define morse_siplap2tile( descA, A, mb, nb, lm, ln, i, j, m, n, seq, req) \ - descA = morse_desc_init( \ - MorseRealFloat, (mb), (nb), ((mb)*(nb)), \ - (lm), (ln), (i), (j), (m), (n), 1, 1); \ - descA.mat = A; \ - MORSE_sgecfi_Async((lm), (ln), (A), MorseCM, (mb), (nb), \ - MorseCCRB, (mb), (nb), (seq), (req)); - - -#define morse_sooptile2lap( descA, A, mb, nb, lm, ln, seq, req) \ - morse_pstile_to_lapack(&descA, A, lm, seq, req); - -#define morse_siptile2lap( descA, A, mb, nb, lm, ln, seq, req) \ - MORSE_sgecfi_Async((lm), (ln), (A), MorseCCRB, (mb), (nb), \ - MorseCM, (mb), (nb), (seq), (req)); - -/***************************************************************************//** - * Declarations of internal sequential functions - **/ -int morse_sshift(MORSE_context_t *morse, int m, int n, float *A, - int nprob, int me, int ne, int L, - MORSE_sequence_t *sequence, MORSE_request_t *request); - -/***************************************************************************//** - * Declarations of parallel functions (dynamic scheduling) - alphabetical order - **/ -void morse_psbarrier_pnl2tl(MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psbarrier_row2tl(MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psbarrier_tl2pnl(MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psbarrier_tl2row(MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psgebrd_gb2bd(MORSE_enum uplo, MORSE_desc_t *A, float *D, float *E, MORSE_desc_t *T, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psgebrd_ge2gb(MORSE_desc_t A, MORSE_desc_t T, MORSE_desc_t D, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psgelqf(MORSE_desc_t *A, MORSE_desc_t *T, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psgelqfrh(MORSE_desc_t *A, MORSE_desc_t *T, MORSE_desc_t *D, int BS, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psgemm(MORSE_enum transA, MORSE_enum transB, float alpha, MORSE_desc_t *A, MORSE_desc_t *B, float beta, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psgeqrf(MORSE_desc_t *A, MORSE_desc_t *T, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psgeqrfrh(MORSE_desc_t *A, MORSE_desc_t *T, MORSE_desc_t *D, int BS, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psgetmi2(MORSE_enum idep, MORSE_enum odep, MORSE_enum storev, int m, int n, int mb, int nb, float *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psgetrf_incpiv(MORSE_desc_t *A, MORSE_desc_t *L, int *IPIV, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psgetrf_nopiv(MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psgetrf_reclap(MORSE_desc_t *A, int *IPIV, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psgetrf_rectil(MORSE_desc_t *A, int *IPIV, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pssygst(MORSE_enum itype, MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_sequence_t *sequence, MORSE_request_t *request); -#ifdef COMPLEX -void morse_pssymm(MORSE_enum side, MORSE_enum uplo, float alpha, MORSE_desc_t *A, MORSE_desc_t *B, float beta, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pssyrk(MORSE_enum uplo, MORSE_enum trans, float alpha, MORSE_desc_t *A, float beta, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pssyr2k(MORSE_enum uplo, MORSE_enum trans, float alpha, MORSE_desc_t *A, MORSE_desc_t *B, float beta, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -#endif -void morse_pssytrd_sy2sb(MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *T, MORSE_desc_t *E, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pslacpy(MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pslag2d(MORSE_desc_t *A, MORSE_desc_t *SB, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pslange(MORSE_enum norm, MORSE_desc_t *A, float *result, MORSE_sequence_t *sequence, MORSE_request_t *request); -#ifdef COMPLEX -void morse_pslansy(MORSE_enum norm, MORSE_enum uplo, MORSE_desc_t *A, float *result, MORSE_sequence_t *sequence, MORSE_request_t *request); -#endif -void morse_pslansy(MORSE_enum norm, MORSE_enum uplo, MORSE_desc_t *A, float *result, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pslantr(MORSE_enum norm, MORSE_enum uplo, MORSE_enum diag, MORSE_desc_t *A, float *result, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pslascal(MORSE_enum uplo, float alpha, MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pslaset( MORSE_enum uplo, float alpha, float beta, MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pslaset2(MORSE_enum uplo, float alpha, MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pslaswp(MORSE_desc_t *B, int *IPIV, int inc, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pslaswpc(MORSE_desc_t *B, int *IPIV, int inc, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pslauum(MORSE_enum uplo, MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -#ifdef COMPLEX -void morse_psplgsy(float bump, MORSE_enum uplo, MORSE_desc_t *A, unsigned long long int seed, MORSE_sequence_t *sequence, MORSE_request_t *request ); -#endif -void morse_psplgsy(float bump, MORSE_enum uplo, MORSE_desc_t *A, unsigned long long int seed, MORSE_sequence_t *sequence, MORSE_request_t *request ); -void morse_psplrnt(MORSE_desc_t *A, unsigned long long int seed, MORSE_sequence_t *sequence, MORSE_request_t *request ); -void morse_pspotrf(MORSE_enum uplo, MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pspotrimm(MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psshift(int, int, int, float *, int *, int, int, int, MORSE_sequence_t*, MORSE_request_t*); -void morse_pssymm(MORSE_enum side, MORSE_enum uplo, float alpha, MORSE_desc_t *A, MORSE_desc_t *B, float beta, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pssyrk(MORSE_enum uplo, MORSE_enum trans, float alpha, MORSE_desc_t *A, float beta, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pssyr2k(MORSE_enum uplo, MORSE_enum trans, float alpha, MORSE_desc_t *A, MORSE_desc_t *B, float beta, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pssytrf(MORSE_enum uplo, MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pstile2band(MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *descAB, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pstpgqrt( int L, MORSE_desc_t *V1, MORSE_desc_t *T1, MORSE_desc_t *V2, MORSE_desc_t *T2, MORSE_desc_t *Q1, MORSE_desc_t *Q2, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request ); -void morse_pstpqrt( int L, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *T, MORSE_sequence_t *sequence, MORSE_request_t *request ); -void morse_pstradd(MORSE_enum uplo, MORSE_enum trans, float alpha, MORSE_desc_t *A, float beta, MORSE_desc_t *B, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pstrmm(MORSE_enum side, MORSE_enum uplo, MORSE_enum transA, MORSE_enum diag, float alpha, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pstrsm(MORSE_enum side, MORSE_enum uplo, MORSE_enum transA, MORSE_enum diag, float alpha, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pstrsmpl(MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *L, int *IPIV, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pstrsmrv(MORSE_enum side, MORSE_enum uplo, MORSE_enum transA, MORSE_enum diag, float alpha, MORSE_desc_t *A, MORSE_desc_t *W, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pstrtri(MORSE_enum uplo, MORSE_enum diag, MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psorgbr(MORSE_enum side, MORSE_desc_t *A, MORSE_desc_t *O, MORSE_desc_t *T, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psorgbrrh(MORSE_enum side, MORSE_desc_t *A, MORSE_desc_t *O, MORSE_desc_t *T, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psorgqr(MORSE_desc_t *A, MORSE_desc_t *Q, MORSE_desc_t *T, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psorgqrrh(MORSE_desc_t *A, MORSE_desc_t *Q, MORSE_desc_t *T, MORSE_desc_t *D,int BS, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psorglq(MORSE_desc_t *A, MORSE_desc_t *Q, MORSE_desc_t *T, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psorglqrh(MORSE_desc_t *A, MORSE_desc_t *Q, MORSE_desc_t *T, MORSE_desc_t *D, int BS, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psorgtr(MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *Q, MORSE_desc_t *T, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psormqr(MORSE_enum side, MORSE_enum trans, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *T, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psormqrrh(MORSE_enum side, MORSE_enum trans, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *T, MORSE_desc_t *D, int BS, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psormlq(MORSE_enum side, MORSE_enum trans, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *T, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psormlqrh(MORSE_enum side, MORSE_enum trans, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *T, MORSE_desc_t *D, int BS, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psbuild( MORSE_enum uplo, MORSE_desc_t *A, void *user_data, void* user_build_callback, MORSE_sequence_t *sequence, MORSE_request_t *request ); - -void morse_psgelqf_param(const libhqr_tree_t *qrtree, MORSE_desc_t *A, MORSE_desc_t *TS, MORSE_desc_t *TT, MORSE_desc_t *D, - MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psgeqrf_param(const libhqr_tree_t *qrtree, MORSE_desc_t *A, MORSE_desc_t *TS, MORSE_desc_t *TT, MORSE_desc_t *D, - MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psormlq_param(const libhqr_tree_t *qrtree, MORSE_enum side, MORSE_enum trans, - MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *TS, MORSE_desc_t *TT, MORSE_desc_t *D, - MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psormqr_param(const libhqr_tree_t *qrtree, MORSE_enum side, MORSE_enum trans, - MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *TS, MORSE_desc_t *TT, MORSE_desc_t *D, - MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psorglq_param(const libhqr_tree_t *qrtree, MORSE_desc_t *A, MORSE_desc_t *Q, - MORSE_desc_t *TS, MORSE_desc_t *TT, MORSE_desc_t *D, - MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_psorgqr_param(const libhqr_tree_t *qrtree, MORSE_desc_t *A, MORSE_desc_t *Q, - MORSE_desc_t *TS, MORSE_desc_t *TT, MORSE_desc_t *D, - MORSE_sequence_t *sequence, MORSE_request_t *request); diff --git a/include/compute_z.h b/include/compute_z.h deleted file mode 100644 index 3b331a1..0000000 --- a/include/compute_z.h +++ /dev/null @@ -1,173 +0,0 @@ -/** - * - * @copyright (c) 2009-2014 The University of Tennessee and The University - * of Tennessee Research Foundation. - * All rights reserved. - * @copyright (c) 2012-2014 Inria. All rights reserved. - * @copyright (c) 2012-2014 Bordeaux INP, CNRS (LaBRI UMR 5800), Inria, Univ. Bordeaux. All rights reserved. - * - **/ - -/** - * - * @file compute_z.h - * - * MORSE auxiliary routines - * MORSE is a software package provided by Univ. of Tennessee, - * Univ. of California Berkeley and Univ. of Colorado Denver - * - * @version 1.0.0 - * @comment This file has been automatically generated - * from Plasma 2.5.0 for MORSE 1.0.0 - * @author Jakub Kurzak - * @author Mathieu Faverge - * @author Emmanuel Agullo - * @author Cedric Castagnede - * @date 2018-11-11 - * @precisions normal z -> c d s - * - **/ - -/***************************************************************************//** - * Macro for matrix conversion / Lapack interface - **/ -#define morse_zdesc_alloc_diag(descA, mb, nb, lm, ln, i, j, m, n, p, q) \ - descA = morse_desc_init_diag( \ - MorseComplexDouble, (mb), (nb), ((mb)*(nb)), \ - (m), (n), (i), (j), (m), (n), p, q); \ - morse_desc_mat_alloc( &(descA) ); - -#define morse_zdesc_alloc( descA, mb, nb, lm, ln, i, j, m, n, free) \ - descA = morse_desc_init( \ - MorseComplexDouble, (mb), (nb), ((mb)*(nb)), \ - (m), (n), (i), (j), (m), (n), 1, 1); \ - if ( morse_desc_mat_alloc( &(descA) ) ) { \ - morse_error( __func__, "morse_desc_mat_alloc() failed"); \ - {free;}; \ - return MORSE_ERR_OUT_OF_RESOURCES; \ - } - -#define morse_zooplap2tile( descA, A, mb, nb, lm, ln, i, j, m, n, seq, req, free) \ - descA = morse_desc_init( \ - MorseComplexDouble, (mb), (nb), ((mb)*(nb)), \ - (lm), (ln), (i), (j), (m), (n), 1, 1); \ - if ( morse_desc_mat_alloc( &(descA) ) ) { \ - morse_error( __func__, "morse_desc_mat_alloc() failed"); \ - {free;}; \ - return MORSE_ERR_OUT_OF_RESOURCES; \ - } \ - morse_pzlapack_to_tile(A, lm, &descA, seq, req); - -#define morse_ziplap2tile( descA, A, mb, nb, lm, ln, i, j, m, n, seq, req) \ - descA = morse_desc_init( \ - MorseComplexDouble, (mb), (nb), ((mb)*(nb)), \ - (lm), (ln), (i), (j), (m), (n), 1, 1); \ - descA.mat = A; \ - MORSE_zgecfi_Async((lm), (ln), (A), MorseCM, (mb), (nb), \ - MorseCCRB, (mb), (nb), (seq), (req)); - - -#define morse_zooptile2lap( descA, A, mb, nb, lm, ln, seq, req) \ - morse_pztile_to_lapack(&descA, A, lm, seq, req); - -#define morse_ziptile2lap( descA, A, mb, nb, lm, ln, seq, req) \ - MORSE_zgecfi_Async((lm), (ln), (A), MorseCCRB, (mb), (nb), \ - MorseCM, (mb), (nb), (seq), (req)); - -/***************************************************************************//** - * Declarations of internal sequential functions - **/ -int morse_zshift(MORSE_context_t *morse, int m, int n, MORSE_Complex64_t *A, - int nprob, int me, int ne, int L, - MORSE_sequence_t *sequence, MORSE_request_t *request); - -/***************************************************************************//** - * Declarations of parallel functions (dynamic scheduling) - alphabetical order - **/ -void morse_pzbarrier_pnl2tl(MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzbarrier_row2tl(MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzbarrier_tl2pnl(MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzbarrier_tl2row(MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzgebrd_gb2bd(MORSE_enum uplo, MORSE_desc_t *A, double *D, double *E, MORSE_desc_t *T, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzgebrd_ge2gb(MORSE_desc_t A, MORSE_desc_t T, MORSE_desc_t D, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzgelqf(MORSE_desc_t *A, MORSE_desc_t *T, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzgelqfrh(MORSE_desc_t *A, MORSE_desc_t *T, MORSE_desc_t *D, int BS, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzgemm(MORSE_enum transA, MORSE_enum transB, MORSE_Complex64_t alpha, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_Complex64_t beta, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzgeqrf(MORSE_desc_t *A, MORSE_desc_t *T, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzgeqrfrh(MORSE_desc_t *A, MORSE_desc_t *T, MORSE_desc_t *D, int BS, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzgetmi2(MORSE_enum idep, MORSE_enum odep, MORSE_enum storev, int m, int n, int mb, int nb, MORSE_Complex64_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzgetrf_incpiv(MORSE_desc_t *A, MORSE_desc_t *L, int *IPIV, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzgetrf_nopiv(MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzgetrf_reclap(MORSE_desc_t *A, int *IPIV, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzgetrf_rectil(MORSE_desc_t *A, int *IPIV, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzhegst(MORSE_enum itype, MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_sequence_t *sequence, MORSE_request_t *request); -#ifdef COMPLEX -void morse_pzhemm(MORSE_enum side, MORSE_enum uplo, MORSE_Complex64_t alpha, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_Complex64_t beta, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzherk(MORSE_enum uplo, MORSE_enum trans, double alpha, MORSE_desc_t *A, double beta, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzher2k(MORSE_enum uplo, MORSE_enum trans, MORSE_Complex64_t alpha, MORSE_desc_t *A, MORSE_desc_t *B, double beta, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -#endif -void morse_pzhetrd_he2hb(MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *T, MORSE_desc_t *E, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzlacpy(MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzlag2c(MORSE_desc_t *A, MORSE_desc_t *SB, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzlange(MORSE_enum norm, MORSE_desc_t *A, double *result, MORSE_sequence_t *sequence, MORSE_request_t *request); -#ifdef COMPLEX -void morse_pzlanhe(MORSE_enum norm, MORSE_enum uplo, MORSE_desc_t *A, double *result, MORSE_sequence_t *sequence, MORSE_request_t *request); -#endif -void morse_pzlansy(MORSE_enum norm, MORSE_enum uplo, MORSE_desc_t *A, double *result, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzlantr(MORSE_enum norm, MORSE_enum uplo, MORSE_enum diag, MORSE_desc_t *A, double *result, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzlascal(MORSE_enum uplo, MORSE_Complex64_t alpha, MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzlaset( MORSE_enum uplo, MORSE_Complex64_t alpha, MORSE_Complex64_t beta, MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzlaset2(MORSE_enum uplo, MORSE_Complex64_t alpha, MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzlaswp(MORSE_desc_t *B, int *IPIV, int inc, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzlaswpc(MORSE_desc_t *B, int *IPIV, int inc, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzlauum(MORSE_enum uplo, MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -#ifdef COMPLEX -void morse_pzplghe(double bump, MORSE_enum uplo, MORSE_desc_t *A, unsigned long long int seed, MORSE_sequence_t *sequence, MORSE_request_t *request ); -#endif -void morse_pzplgsy(MORSE_Complex64_t bump, MORSE_enum uplo, MORSE_desc_t *A, unsigned long long int seed, MORSE_sequence_t *sequence, MORSE_request_t *request ); -void morse_pzplrnt(MORSE_desc_t *A, unsigned long long int seed, MORSE_sequence_t *sequence, MORSE_request_t *request ); -void morse_pzpotrf(MORSE_enum uplo, MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzpotrimm(MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzshift(int, int, int, MORSE_Complex64_t *, int *, int, int, int, MORSE_sequence_t*, MORSE_request_t*); -void morse_pzsymm(MORSE_enum side, MORSE_enum uplo, MORSE_Complex64_t alpha, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_Complex64_t beta, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzsyrk(MORSE_enum uplo, MORSE_enum trans, MORSE_Complex64_t alpha, MORSE_desc_t *A, MORSE_Complex64_t beta, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzsyr2k(MORSE_enum uplo, MORSE_enum trans, MORSE_Complex64_t alpha, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_Complex64_t beta, MORSE_desc_t *C, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzsytrf(MORSE_enum uplo, MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pztile2band(MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *descAB, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pztpgqrt( int L, MORSE_desc_t *V1, MORSE_desc_t *T1, MORSE_desc_t *V2, MORSE_desc_t *T2, MORSE_desc_t *Q1, MORSE_desc_t *Q2, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request ); -void morse_pztpqrt( int L, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *T, MORSE_sequence_t *sequence, MORSE_request_t *request ); -void morse_pztradd(MORSE_enum uplo, MORSE_enum trans, MORSE_Complex64_t alpha, MORSE_desc_t *A, MORSE_Complex64_t beta, MORSE_desc_t *B, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pztrmm(MORSE_enum side, MORSE_enum uplo, MORSE_enum transA, MORSE_enum diag, MORSE_Complex64_t alpha, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pztrsm(MORSE_enum side, MORSE_enum uplo, MORSE_enum transA, MORSE_enum diag, MORSE_Complex64_t alpha, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pztrsmpl(MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *L, int *IPIV, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pztrsmrv(MORSE_enum side, MORSE_enum uplo, MORSE_enum transA, MORSE_enum diag, MORSE_Complex64_t alpha, MORSE_desc_t *A, MORSE_desc_t *W, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pztrtri(MORSE_enum uplo, MORSE_enum diag, MORSE_desc_t *A, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzungbr(MORSE_enum side, MORSE_desc_t *A, MORSE_desc_t *O, MORSE_desc_t *T, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzungbrrh(MORSE_enum side, MORSE_desc_t *A, MORSE_desc_t *O, MORSE_desc_t *T, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzungqr(MORSE_desc_t *A, MORSE_desc_t *Q, MORSE_desc_t *T, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzungqrrh(MORSE_desc_t *A, MORSE_desc_t *Q, MORSE_desc_t *T, MORSE_desc_t *D,int BS, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzunglq(MORSE_desc_t *A, MORSE_desc_t *Q, MORSE_desc_t *T, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzunglqrh(MORSE_desc_t *A, MORSE_desc_t *Q, MORSE_desc_t *T, MORSE_desc_t *D, int BS, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzungtr(MORSE_enum uplo, MORSE_desc_t *A, MORSE_desc_t *Q, MORSE_desc_t *T, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzunmqr(MORSE_enum side, MORSE_enum trans, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *T, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzunmqrrh(MORSE_enum side, MORSE_enum trans, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *T, MORSE_desc_t *D, int BS, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzunmlq(MORSE_enum side, MORSE_enum trans, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *T, MORSE_desc_t *D, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzunmlqrh(MORSE_enum side, MORSE_enum trans, MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *T, MORSE_desc_t *D, int BS, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzbuild( MORSE_enum uplo, MORSE_desc_t *A, void *user_data, void* user_build_callback, MORSE_sequence_t *sequence, MORSE_request_t *request ); - -void morse_pzgelqf_param(const libhqr_tree_t *qrtree, MORSE_desc_t *A, MORSE_desc_t *TS, MORSE_desc_t *TT, MORSE_desc_t *D, - MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzgeqrf_param(const libhqr_tree_t *qrtree, MORSE_desc_t *A, MORSE_desc_t *TS, MORSE_desc_t *TT, MORSE_desc_t *D, - MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzunmlq_param(const libhqr_tree_t *qrtree, MORSE_enum side, MORSE_enum trans, - MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *TS, MORSE_desc_t *TT, MORSE_desc_t *D, - MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzunmqr_param(const libhqr_tree_t *qrtree, MORSE_enum side, MORSE_enum trans, - MORSE_desc_t *A, MORSE_desc_t *B, MORSE_desc_t *TS, MORSE_desc_t *TT, MORSE_desc_t *D, - MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzunglq_param(const libhqr_tree_t *qrtree, MORSE_desc_t *A, MORSE_desc_t *Q, - MORSE_desc_t *TS, MORSE_desc_t *TT, MORSE_desc_t *D, - MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pzungqr_param(const libhqr_tree_t *qrtree, MORSE_desc_t *A, MORSE_desc_t *Q, - MORSE_desc_t *TS, MORSE_desc_t *TT, MORSE_desc_t *D, - MORSE_sequence_t *sequence, MORSE_request_t *request); diff --git a/include/context.h b/include/context.h index 78b49d7..2c4fb21 100644 --- a/include/context.h +++ b/include/context.h @@ -1,47 +1,45 @@ /** * - * @copyright (c) 2009-2014 The University of Tennessee and The University - * of Tennessee Research Foundation. - * All rights reserved. - * @copyright (c) 2012-2014 Inria. All rights reserved. - * @copyright (c) 2012-2014 Bordeaux INP, CNRS (LaBRI UMR 5800), Inria, Univ. Bordeaux. All rights reserved. + * @file context.h * - **/ - -/** + * @copyright 2009-2014 The University of Tennessee and The University of + * Tennessee Research Foundation. All rights reserved. + * @copyright 2012-2022 Bordeaux INP, CNRS (LaBRI UMR 5800), Inria, + * Univ. Bordeaux. All rights reserved. * - * @file control/context.h + *** * - * MORSE auxiliary routines - * MORSE is a software package provided by Univ. of Tennessee, - * Univ. of California Berkeley and Univ. of Colorado Denver + * @brief Chameleon context header * - * @version 1.0.0 + * @version 1.2.0 * @author Jakub Kurzak * @author Cedric Augonnet * @author Mathieu Faverge * @author Cedric Castagnede - * @date 2018-11-11 + * @author Florent Pruvost + * @date 2022-11-09 * - **/ -#ifndef _MORSE_CONTEXT_H_ -#define _MORSE_CONTEXT_H_ + */ +#ifndef _chameleon_context_h_ +#define _chameleon_context_h_ -#include "chameleon/morse_struct.h" +#include "chameleon/struct.h" -/******************************************************************************* +/** * Routines to handle threads context - **/ + */ #ifdef __cplusplus extern "C" { #endif -MORSE_context_t* morse_context_create (); -MORSE_context_t* morse_context_self (); -int morse_context_destroy (); +CHAM_context_t *chameleon_context_create(); + +CHAM_context_t *chameleon_context_self(); + +int chameleon_context_destroy(); #ifdef __cplusplus } #endif -#endif +#endif /* _chameleon_context_h_ */ diff --git a/include/descriptor.h b/include/descriptor.h index 1b049f1..b628bf7 100644 --- a/include/descriptor.h +++ b/include/descriptor.h @@ -1,81 +1,86 @@ /** * - * @copyright (c) 2009-2014 The University of Tennessee and The University - * of Tennessee Research Foundation. - * All rights reserved. - * @copyright (c) 2012-2014 Inria. All rights reserved. - * @copyright (c) 2012-2014 Bordeaux INP, CNRS (LaBRI UMR 5800), Inria, Univ. Bordeaux. All rights reserved. + * @file descriptor.h * - **/ - -/** + * @copyright 2009-2014 The University of Tennessee and The University of + * Tennessee Research Foundation. All rights reserved. + * @copyright 2012-2021 Bordeaux INP, CNRS (LaBRI UMR 5800), Inria, + * Univ. Bordeaux. All rights reserved. * - * @file control/descriptor.h + *** * - * MORSE auxiliary routines - * MORSE is a software package provided by Univ. of Tennessee, - * Univ. of California Berkeley and Univ. of Colorado Denver + * @brief Chameleon descriptor header * - * @version 1.0.0 + * @version 1.2.0 * @author Jakub Kurzak * @author Mathieu Faverge * @author Cedric Castagnede - * @date 2018-11-11 + * @author Florent Pruvost + * @author Guillaume Sylvand + * @author Raphael Boucherie + * @author Samuel Thibault + * @date 2022-11-09 * - **/ -#ifndef _MORSE_DESCRIPTOR_H_ -#define _MORSE_DESCRIPTOR_H_ + */ +#ifndef _chameleon_descriptor_h_ +#define _chameleon_descriptor_h_ #include -#include "chameleon/chameleon_config.h" -#include "chameleon/morse_struct.h" +#include "chameleon/include/chameleon/struct.h" #include "auxiliary.h" +#include "chameleon/include/chameleon/constants.h" + #ifdef __cplusplus extern "C" { #endif -/******************************************************************************* +/** * Internal routines - **/ -inline static void* morse_geteltaddr(const MORSE_desc_t *A, int m, int n, int eltsize); -inline static void* morse_getaddr_cm (const MORSE_desc_t *A, int m, int n); -inline static void* morse_getaddr_ccrb (const MORSE_desc_t *A, int m, int n); -inline static void* morse_getaddr_null (const MORSE_desc_t *A, int m, int n); -inline static int morse_getblkldd_cm (const MORSE_desc_t *A, int m); -inline static int morse_getblkldd_ccrb(const MORSE_desc_t *A, int m); - -/***************************************************************** + */ +inline static void *chameleon_geteltaddr(const CHAM_desc_t *A, int m, int n, int eltsize); + +inline static void *chameleon_getaddr_cm(const CHAM_desc_t *A, int m, int n); + +inline static void *chameleon_getaddr_ccrb(const CHAM_desc_t *A, int m, int n); + +inline static void *chameleon_getaddr_null(const CHAM_desc_t *A, int m, int n); + +inline static void *chameleon_getaddr_diag(const CHAM_desc_t *A, int m, int n); + +inline static int chameleon_getblkldd_cm(const CHAM_desc_t *A, int m); + +inline static int chameleon_getblkldd_ccrb(const CHAM_desc_t *A, int m); + +/** * Data distributions */ -inline static int morse_getrankof_2d(const MORSE_desc_t *desc, int m, int n); -inline static int morse_getrankof_2d_diag(const MORSE_desc_t *desc, int m, int n); - -MORSE_desc_t morse_desc_init(MORSE_enum dtyp, int mb, int nb, int bsiz, - int lm, int ln, int i, int j, int m, int n, int p, int q); -MORSE_desc_t morse_desc_init_diag(MORSE_enum dtyp, int mb, int nb, int bsiz, - int lm, int ln, int i, int j, int m, int n, int p, int q); -MORSE_desc_t morse_desc_init_user(MORSE_enum dtyp, int mb, int nb, int bsiz, - int lm, int ln, int i, int j, - int m, int n, int p, int q, - void* (*get_blkaddr)( const MORSE_desc_t*, int, int ), - int (*get_blkldd)( const MORSE_desc_t*, int ), - int (*get_rankof)( const MORSE_desc_t*, int, int )); -MORSE_desc_t* morse_desc_submatrix(MORSE_desc_t *descA, int i, int j, int m, int n); - -int morse_desc_check (MORSE_desc_t *desc); -int morse_desc_mat_alloc(MORSE_desc_t *desc); -int morse_desc_mat_free (MORSE_desc_t *desc); - -#define BLKLDD(A, k) A->get_blkldd( A,k ) - -/******************************************************************************* +int chameleon_getrankof_2d(const CHAM_desc_t *desc, int m, int n); + +int chameleon_getrankof_2d_diag(const CHAM_desc_t *desc, int m, int n); + +int chameleon_desc_init(CHAM_desc_t *desc, void *mat, + cham_flttype_t dtyp, int mb, int nb, int bsiz, + int lm, int ln, int i, int j, + int m, int n, int p, int q, + void *(*get_blkaddr)(const CHAM_desc_t *, int, int), + int (*get_blkldd)(const CHAM_desc_t *, int), + int (*get_rankof)(const CHAM_desc_t *, int, int)); + +CHAM_desc_t *chameleon_desc_submatrix(CHAM_desc_t *descA, int i, int j, int m, int n); + +void chameleon_desc_destroy(CHAM_desc_t *desc); + +int chameleon_desc_check(const CHAM_desc_t *desc); + +#define BLKLDD(A, k) A->get_blkldd( A, k ) + +/** * Internal function to return address of block (m,n) with m,n = block indices - **/ -inline static void* morse_getaddr_ccrb(const MORSE_desc_t *A, int m, int n) -{ + */ +inline static void *chameleon_getaddr_ccrb(const CHAM_desc_t *A, int m, int n) { size_t mm = m + A->i / A->mb; size_t nn = n + A->j / A->nb; - size_t eltsize = MORSE_Element_Size(A->dtyp); + size_t eltsize = CHAMELEON_Element_Size(A->dtyp); size_t offset = 0; #if defined(CHAMELEON_USE_MPI) @@ -84,30 +89,28 @@ inline static void* morse_getaddr_ccrb(const MORSE_desc_t *A, int m, int n) nn = nn / A->q; #endif - if (mm < (size_t)(A->llm1)) { - if (nn < (size_t)(A->lln1)) - offset = (size_t)(A->bsiz) * (mm + (size_t)(A->llm1) * nn); + if (mm < (size_t) (A->llm1)) { + if (nn < (size_t) (A->lln1)) + offset = (size_t) (A->bsiz) * (mm + (size_t) (A->llm1) * nn); else - offset = A->A12 + ((size_t)(A->mb * (A->lln%A->nb)) * mm); - } - else { - if (nn < (size_t)(A->lln1)) - offset = A->A21 + ((size_t)((A->llm%A->mb) * A->nb) * nn); + offset = A->A12 + ((size_t) (A->mb * (A->lln % A->nb)) * mm); + } else { + if (nn < (size_t) (A->lln1)) + offset = A->A21 + ((size_t) ((A->llm % A->mb) * A->nb) * nn); else offset = A->A22; } - return (void*)((intptr_t)A->mat + (offset*eltsize) ); + return (void *) ((intptr_t) A->mat + (offset * eltsize)); } -/******************************************************************************* +/** * Internal function to return address of block (m,n) with m,n = block indices - **/ -inline static void *morse_getaddr_cm(const MORSE_desc_t *A, int m, int n) -{ + */ +inline static void *chameleon_getaddr_cm(const CHAM_desc_t *A, int m, int n) { size_t mm = m + A->i / A->mb; size_t nn = n + A->j / A->nb; - size_t eltsize = MORSE_Element_Size(A->dtyp); + size_t eltsize = CHAMELEON_Element_Size(A->dtyp); size_t offset = 0; #if defined(CHAMELEON_USE_MPI) @@ -116,27 +119,50 @@ inline static void *morse_getaddr_cm(const MORSE_desc_t *A, int m, int n) nn = nn / A->q; #endif - offset = (size_t)(A->llm * A->nb) * nn + (size_t)(A->mb) * mm; - return (void*)((intptr_t)A->mat + (offset*eltsize) ); + offset = (size_t) (A->llm * A->nb) * nn + (size_t) (A->mb) * mm; + return (void *) ((intptr_t) A->mat + (offset * eltsize)); } -/******************************************************************************* +/** + * Internal function to return address of block (m,n) with m,n = block indices + */ +inline static void *chameleon_getaddr_diag(const CHAM_desc_t *A, int m, int n) { + assert(m == n); + return chameleon_getaddr_ccrb(A, m, 0); +} + +/** * Internal function to return address of block (m,n) with m,n = block indices * This version lets the runtime allocate on-demand. - **/ -inline static void *morse_getaddr_null(const MORSE_desc_t *A, int m, int n) -{ - (void)A; (void)m; (void)n; + */ +inline static void *chameleon_getaddr_null(const CHAM_desc_t *A, int m, int n) { + (void) A; + (void) m; + (void) n; return NULL; } -/******************************************************************************* +/** + * Internal function to return address of block (m,n) with m,n = block indices + */ +inline static CHAM_tile_t *chameleon_desc_gettile(const CHAM_desc_t *A, int m, int n) { + size_t mm = m + A->i / A->mb; + size_t nn = n + A->j / A->nb; + size_t offset = 0; + + assert(A->tiles != NULL); + + offset = A->lmt * nn + mm; + return A->tiles + offset; +} + +/** * Internal function to return address of element A(m,n) with m,n = matrix indices - **/ -inline static void* morse_geteltaddr(const MORSE_desc_t *A, int m, int n, int eltsize) // Not used anywhere ?! + */ +inline static void *chameleon_geteltaddr(const CHAM_desc_t *A, int m, int n, int eltsize) // Not used anywhere ?! { - size_t mm = (m + A->i)/A->mb; - size_t nn = (n + A->j)/A->nb; + size_t mm = (m + A->i) / A->mb; + size_t nn = (n + A->j) / A->nb; size_t offset = 0; #if defined(CHAMELEON_USE_MPI) @@ -145,106 +171,86 @@ inline static void* morse_geteltaddr(const MORSE_desc_t *A, int m, int n, int el nn = nn / A->q; #endif - if (mm < (size_t)(A->llm1)) { - if (nn < (size_t)(A->lln1)) - offset = A->bsiz*(mm+A->llm1*nn) + m%A->mb + A->mb*(n%A->nb); + if (mm < (size_t) (A->llm1)) { + if (nn < (size_t) (A->lln1)) + offset = A->bsiz * (mm + A->llm1 * nn) + m % A->mb + A->mb * (n % A->nb); else - offset = A->A12 + (A->mb*(A->lln%A->nb)*mm) + m%A->mb + A->mb*(n%A->nb); - } - else { - if (nn < (size_t)(A->lln1)) - offset = A->A21 + ((A->llm%A->mb)*A->nb*nn) + m%A->mb + (A->llm%A->mb)*(n%A->nb); + offset = A->A12 + (A->mb * (A->lln % A->nb) * mm) + m % A->mb + A->mb * (n % A->nb); + } else { + if (nn < (size_t) (A->lln1)) + offset = A->A21 + ((A->llm % A->mb) * A->nb * nn) + m % A->mb + (A->llm % A->mb) * (n % A->nb); else - offset = A->A22 + m%A->mb + (A->llm%A->mb)*(n%A->nb); + offset = A->A22 + m % A->mb + (A->llm % A->mb) * (n % A->nb); } - return (void*)((intptr_t)A->mat + (offset*eltsize) ); + return (void *) ((intptr_t) A->mat + (offset * eltsize)); } -/******************************************************************************* +/** * Internal function to return the leading dimension of element A(m,*) with m,n = block indices - **/ -inline static int morse_getblkldd_ccrb(const MORSE_desc_t *A, int m) -{ + */ +inline static int chameleon_getblkldd_ccrb(const CHAM_desc_t *A, int m) { int mm = m + A->i / A->mb; - return ( ((mm+1) == A->lmt) && ((A->lm % A->mb) != 0)) ? A->lm % A->mb : A->mb; + return (((mm + 1) == A->lmt) && ((A->lm % A->mb) != 0)) ? A->lm % A->mb : A->mb; } -inline static int morse_getblkldd_cm(const MORSE_desc_t *A, int m) { - (void)m; +inline static int chameleon_getblkldd_cm(const CHAM_desc_t *A, int m) { + (void) m; return A->llm; } - -/******************************************************************************* - * Internal function to return MPI rank of element A(m,n) with m,n = block indices - **/ -inline static int morse_getrankof_2d(const MORSE_desc_t *desc, int m, int n) -{ - return (m % desc->p) * desc->q + (n % desc->q); -} - -/******************************************************************************* - * Internal function to return MPI rank of element DIAG(m,0) with m,n = block indices - **/ -inline static int morse_getrankof_2d_diag(const MORSE_desc_t *desc, int m, int n) -{ - assert( n == 0 ); - return (m % desc->p) * desc->q + (m % desc->q); -} - - -/******************************************************************************* +/** * Detect if the tile is local or not - **/ -inline static int morse_desc_islocal( const MORSE_desc_t *A, int m, int n ) -{ + */ +inline static int chameleon_desc_islocal(const CHAM_desc_t *A, int m, int n) { #if defined(CHAMELEON_USE_MPI) return (A->myrank == A->get_rankof(A, m, n)); #else - (void)A; (void)m; (void)n; + (void) A; + (void) m; + (void) n; return 1; #endif /* defined(CHAMELEON_USE_MPI) */ } -/******************************************************************************* +/** * Declare data accesses of codelets using these macros, for instance: - * MORSE_BEGIN_ACCESS_DECLARATION - * MORSE_ACCESS_R(A, Am, An) - * MORSE_ACCESS_R(B, Bm, Bn) - * MORSE_ACCESS_RW(C, Cm, Cn) - * MORSE_END_ACCESS_DECLARATION + * CHAMELEON_BEGIN_ACCESS_DECLARATION + * CHAMELEON_ACCESS_R(A, Am, An) + * CHAMELEON_ACCESS_R(B, Bm, Bn) + * CHAMELEON_ACCESS_RW(C, Cm, Cn) + * CHAMELEON_END_ACCESS_DECLARATION */ -#define MORSE_BEGIN_ACCESS_DECLARATION { \ - unsigned __morse_need_submit = 0; \ +#define CHAMELEON_BEGIN_ACCESS_DECLARATION { \ + unsigned __chameleon_need_submit = 0; \ RUNTIME_BEGIN_ACCESS_DECLARATION -#define MORSE_ACCESS_R(A, Am, An) do { \ - if (morse_desc_islocal(A, Am, An)) __morse_need_submit = 1; \ +#define CHAMELEON_ACCESS_R(A, Am, An) do { \ + if (chameleon_desc_islocal(A, Am, An)) __chameleon_need_submit = 1; \ RUNTIME_ACCESS_R(A, Am, An); \ } while(0) -#define MORSE_ACCESS_W(A, Am, An) do { \ - if (morse_desc_islocal(A, Am, An)) __morse_need_submit = 1; \ +#define CHAMELEON_ACCESS_W(A, Am, An) do { \ + if (chameleon_desc_islocal(A, Am, An)) __chameleon_need_submit = 1; \ RUNTIME_ACCESS_W(A, Am, An); \ } while(0) -#define MORSE_ACCESS_RW(A, Am, An) do { \ - if (morse_desc_islocal(A, Am, An)) __morse_need_submit = 1; \ +#define CHAMELEON_ACCESS_RW(A, Am, An) do { \ + if (chameleon_desc_islocal(A, Am, An)) __chameleon_need_submit = 1; \ RUNTIME_ACCESS_RW(A, Am, An); \ } while(0) -#define MORSE_RANK_CHANGED(rank) do {\ - __morse_need_submit = 1; \ +#define CHAMELEON_RANK_CHANGED(rank) do {\ + __chameleon_need_submit = 1; \ RUNTIME_RANK_CHANGED(rank); \ } while (0) -#define MORSE_END_ACCESS_DECLARATION \ +#define CHAMELEON_END_ACCESS_DECLARATION \ RUNTIME_END_ACCESS_DECLARATION; \ - if (!__morse_need_submit) return; \ + if (!__chameleon_need_submit) return; \ } #ifdef __cplusplus } #endif -#endif +#endif /* _chameleon_descriptor_h_ */ diff --git a/include/exageostat-constants.h b/include/exageostat-constants.h deleted file mode 100644 index e0b89b4..0000000 --- a/include/exageostat-constants.h +++ /dev/null @@ -1,52 +0,0 @@ -/** - * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology - * All rights reserved. - * - * ExaGeoStat is a software package provided by KAUST - **/ -/** - * - * @file exageostat-constants.h - * - * Auxiliary functions that are needed by ExaGeoStat. - * - * @version 1.0.0 - * - * @author Sameh Abdulah - * @date 2020-05-02 - * - **/ -#ifndef __EXAGEOSTAT_CONSTANTS_H__ -#define __EXAGEOSTAT_CONSTANTS_H__ - -//! Enum for kernel types -enum EXAGEOSTAT_KERNEL -{ - STARSH_BACKEND_NOTSELECTED = -2, - //!< Kernel has not been yet selected. - STARSH_BACKEND_NOTSUPPORTED = -1, - //!< Error, kernel is not supported. - UNIVARIATE_MATERN_STATIONARY = 0, - //!< Univariate matern stationary kernel. - UNIVARIATE_POW_EXP_STATIONARY = 1, - //!< Univariate powered exponential stationary kernel. - UNIVARIATE_SQR_EXP_STATIONARY = 2, - //!< Univariate square exponential stationary kernel. - UNIVARIATE_MATERN_NON_STATIONARY = 3, - //!< Univariate matern nonstationary kernel. - BIVARIATE_MATERN_PARSIMONIOUS = 4, - //!< Bivariate matern parsimonious kernel. - BIVARIATE_MATERN_PARSIMONIOUS2 = 5, - //!< Bivariate matern parsimonious2 kernel. - BIVARIATE_MATERN_PARSIMONIOUS_PROFILE = 6, - //!< Bivariate matern parsimonious kernel (profile). - BIVARIATE_MATERN_PARSIMONIOUS2_PROFILE = 7, - //!< Bivariate matern parsimonious2 kernel (profile). - BIVARIATE_MATERN_FLEXIBLE = 8, - //!< Bivariate matern flexiable kernel. - BIVARIATE_MATERN_FLEXIBLE_PROFILE = 9 - //!< Bivariate matern flexiable kernel (profile). -}; - -#endif // __EXAGEOSTAT_CONSTANTS_H__ diff --git a/include/exageostat_config.h.in b/include/exageostat_config.h.in index 2a1cf23..bff3b7d 100644 --- a/include/exageostat_config.h.in +++ b/include/exageostat_config.h.in @@ -12,12 +12,12 @@ * * @file chameleon_config.h * - * MORSE main header - * MORSE is a software package provided by Univ. of Tennessee, + * CHAMELEON main header + * CHAMELEON is a software package provided by Univ. of Tennessee, * Univ. of California Berkeley and Univ. of Colorado Denver, * and INRIA Bordemisc Sud-Ouest * - * @version 0.9.1 + * @version 1.2.0 * @author Florent Pruvost * @date 2017-01-06 * diff --git a/include/flops.h b/include/flops.h index 23bb2bc..2dfe884 100644 --- a/include/flops.h +++ b/include/flops.h @@ -17,7 +17,7 @@ * @version 1.0.0 * @author Mathieu Faverge * @author Cedric Castagnede - * @date 2018-11-11 + * @date 2022-11-09 * **/ /* @@ -40,7 +40,7 @@ /* * Level 2 BLAS - */ + */ #define FMULS_GEMV(__m, __n) ((double)(__m) * (double)(__n) + 2. * (double)(__m)) #define FADDS_GEMV(__m, __n) ((double)(__m) * (double)(__n) ) @@ -55,8 +55,8 @@ #define FMULS_GEMM(__m, __n, __k) ((double)(__m) * (double)(__n) * (double)(__k)) #define FADDS_GEMM(__m, __n, __k) ((double)(__m) * (double)(__n) * (double)(__k)) -#define FMULS_SYMM(__side, __m, __n) ( ( (__side) == MorseLeft ) ? FMULS_GEMM((__m), (__m), (__n)) : FMULS_GEMM((__m), (__n), (__n)) ) -#define FADDS_SYMM(__side, __m, __n) ( ( (__side) == MorseLeft ) ? FADDS_GEMM((__m), (__m), (__n)) : FADDS_GEMM((__m), (__n), (__n)) ) +#define FMULS_SYMM(__side, __m, __n) ( ( (__side) == ChamLeft ) ? FMULS_GEMM((__m), (__m), (__n)) : FMULS_GEMM((__m), (__n), (__n)) ) +#define FADDS_SYMM(__side, __m, __n) ( ( (__side) == ChamLeft ) ? FADDS_GEMM((__m), (__m), (__n)) : FADDS_GEMM((__m), (__n), (__n)) ) #define FMULS_HEMM FMULS_SYMM #define FADDS_HEMM FADDS_SYMM @@ -74,8 +74,8 @@ #define FADDS_TRMM_2(__m, __n) (0.5 * (double)(__n) * (double)(__m) * ((double)(__m)-1.)) -#define FMULS_TRMM(__side, __m, __n) ( ( (__side) == MorseLeft ) ? FMULS_TRMM_2((__m), (__n)) : FMULS_TRMM_2((__n), (__m)) ) -#define FADDS_TRMM(__side, __m, __n) ( ( (__side) == MorseLeft ) ? FADDS_TRMM_2((__m), (__n)) : FADDS_TRMM_2((__n), (__m)) ) +#define FMULS_TRMM(__side, __m, __n) ( ( (__side) == ChamLeft ) ? FMULS_TRMM_2((__m), (__n)) : FMULS_TRMM_2((__n), (__m)) ) +#define FADDS_TRMM(__side, __m, __n) ( ( (__side) == ChamLeft ) ? FADDS_TRMM_2((__m), (__n)) : FADDS_TRMM_2((__n), (__m)) ) #define FMULS_TRSM FMULS_TRMM #define FADDS_TRSM FMULS_TRMM @@ -175,12 +175,12 @@ /* * Level 2 BLAS - */ + */ #define FLOPS_ZGEMV(__m, __n) (6. * FMULS_GEMV((__m), (__n)) + 2.0 * FADDS_GEMV((__m), (__n)) ) #define FLOPS_CGEMV(__m, __n) (6. * FMULS_GEMV((__m), (__n)) + 2.0 * FADDS_GEMV((__m), (__n)) ) #define FLOPS_DGEMV(__m, __n) ( FMULS_GEMV((__m), (__n)) + FADDS_GEMV((__m), (__n)) ) #define FLOPS_SGEMV(__m, __n) ( FMULS_GEMV((__m), (__n)) + FADDS_GEMV((__m), (__n)) ) - + #define FLOPS_ZHEMV(__n) (6. * FMULS_HEMV((__n)) + 2.0 * FADDS_HEMV((__n)) ) #define FLOPS_CHEMV(__n) (6. * FMULS_HEMV((__n)) + 2.0 * FADDS_HEMV((__n)) ) @@ -188,7 +188,7 @@ #define FLOPS_CSYMV(__n) (6. * FMULS_SYMV((__n)) + 2.0 * FADDS_SYMV((__n)) ) #define FLOPS_DSYMV(__n) ( FMULS_SYMV((__n)) + FADDS_SYMV((__n)) ) #define FLOPS_SSYMV(__n) ( FMULS_SYMV((__n)) + FADDS_SYMV((__n)) ) - + /* * Level 3 BLAS */ @@ -204,7 +204,7 @@ #define FLOPS_CSYMM(__side, __m, __n) (6. * FMULS_SYMM(__side, (__m), (__n)) + 2.0 * FADDS_SYMM(__side, (__m), (__n)) ) #define FLOPS_DSYMM(__side, __m, __n) ( FMULS_SYMM(__side, (__m), (__n)) + FADDS_SYMM(__side, (__m), (__n)) ) #define FLOPS_SSYMM(__side, __m, __n) ( FMULS_SYMM(__side, (__m), (__n)) + FADDS_SYMM(__side, (__m), (__n)) ) - + #define FLOPS_ZHERK(__k, __n) (6. * FMULS_HERK((__k), (__n)) + 2.0 * FADDS_HERK((__k), (__n)) ) #define FLOPS_CHERK(__k, __n) (6. * FMULS_HERK((__k), (__n)) + 2.0 * FADDS_HERK((__k), (__n)) ) @@ -212,7 +212,7 @@ #define FLOPS_CSYRK(__k, __n) (6. * FMULS_SYRK((__k), (__n)) + 2.0 * FADDS_SYRK((__k), (__n)) ) #define FLOPS_DSYRK(__k, __n) ( FMULS_SYRK((__k), (__n)) + FADDS_SYRK((__k), (__n)) ) #define FLOPS_SSYRK(__k, __n) ( FMULS_SYRK((__k), (__n)) + FADDS_SYRK((__k), (__n)) ) - + #define FLOPS_ZHER2K(__k, __n) (6. * FMULS_HER2K((__k), (__n)) + 2.0 * FADDS_HER2K((__k), (__n)) ) #define FLOPS_CHER2K(__k, __n) (6. * FMULS_HER2K((__k), (__n)) + 2.0 * FADDS_HER2K((__k), (__n)) ) @@ -220,17 +220,17 @@ #define FLOPS_CSYR2K(__k, __n) (6. * FMULS_SYR2K((__k), (__n)) + 2.0 * FADDS_SYR2K((__k), (__n)) ) #define FLOPS_DSYR2K(__k, __n) ( FMULS_SYR2K((__k), (__n)) + FADDS_SYR2K((__k), (__n)) ) #define FLOPS_SSYR2K(__k, __n) ( FMULS_SYR2K((__k), (__n)) + FADDS_SYR2K((__k), (__n)) ) - + #define FLOPS_ZTRMM(__side, __m, __n) (6. * FMULS_TRMM(__side, (__m), (__n)) + 2.0 * FADDS_TRMM(__side, (__m), (__n)) ) #define FLOPS_CTRMM(__side, __m, __n) (6. * FMULS_TRMM(__side, (__m), (__n)) + 2.0 * FADDS_TRMM(__side, (__m), (__n)) ) #define FLOPS_DTRMM(__side, __m, __n) ( FMULS_TRMM(__side, (__m), (__n)) + FADDS_TRMM(__side, (__m), (__n)) ) #define FLOPS_STRMM(__side, __m, __n) ( FMULS_TRMM(__side, (__m), (__n)) + FADDS_TRMM(__side, (__m), (__n)) ) - + #define FLOPS_ZTRSM(__side, __m, __n) (6. * FMULS_TRSM(__side, (__m), (__n)) + 2.0 * FADDS_TRSM(__side, (__m), (__n)) ) #define FLOPS_CTRSM(__side, __m, __n) (6. * FMULS_TRSM(__side, (__m), (__n)) + 2.0 * FADDS_TRSM(__side, (__m), (__n)) ) #define FLOPS_DTRSM(__side, __m, __n) ( FMULS_TRSM(__side, (__m), (__n)) + FADDS_TRSM(__side, (__m), (__n)) ) #define FLOPS_STRSM(__side, __m, __n) ( FMULS_TRSM(__side, (__m), (__n)) + FADDS_TRSM(__side, (__m), (__n)) ) - + /* * Lapack */ diff --git a/include/global.h b/include/global.h index 9a804fa..d6ec790 100644 --- a/include/global.h +++ b/include/global.h @@ -1,120 +1,112 @@ /** * - * @copyright (c) 2009-2014 The University of Tennessee and The University - * of Tennessee Research Foundation. - * All rights reserved. - * @copyright (c) 2012-2014 Inria. All rights reserved. - * @copyright (c) 2012-2014 Bordeaux INP, CNRS (LaBRI UMR 5800), Inria, Univ. Bordeaux. All rights reserved. + * @file global.h * - **/ - -/** + * @copyright 2009-2014 The University of Tennessee and The University of + * Tennessee Research Foundation. All rights reserved. + * @copyright 2012-2022 Bordeaux INP, CNRS (LaBRI UMR 5800), Inria, + * Univ. Bordeaux. All rights reserved. * - * @file global.h + *** * - * MORSE auxiliary routines - * MORSE is a software package provided by Univ. of Tennessee, - * Univ. of California Berkeley and Univ. of Colorado Denver + * @brief Chameleon global variables header * - * @version 1.0.0 + * @version 1.2.0 * @author Jakub Kurzak * @author Piotr Luszczek * @author Cedric Castagnede - * @date 2018-11-11 + * @author Florent Pruvost + * @author Mathieu Faverge + * @date 2022-11-09 * - **/ - -/******************************************************************************* - * MORSE internals of interest to MORSE core developers, but not necessarily - * of interest to MORSE community contributors. - **/ -#ifndef _MORSE_GLOBAL_H_ -#define _MORSE_GLOBAL_H_ - -#if defined( _WIN32 ) || defined( _WIN64 ) -#include "control/morsewinthread.h" -#else -#include -#endif + */ +/** + * CHAMELEON internals of interest to CHAMELEON core developers, but not necessarily + * of interest to CHAMELEON community contributors. + */ +#ifndef _chameleon_global_h_ +#define _chameleon_global_h_ -/******************************************************************************* +/** * Numerical operations - **/ -#define MORSE_FUNC_SGELS 1 -#define MORSE_FUNC_SPOSV 2 -#define MORSE_FUNC_SGESV 3 -#define MORSE_FUNC_DGELS 4 -#define MORSE_FUNC_DPOSV 5 -#define MORSE_FUNC_DGESV 6 -#define MORSE_FUNC_CGELS 7 -#define MORSE_FUNC_CPOSV 8 -#define MORSE_FUNC_CGESV 9 -#define MORSE_FUNC_ZGELS 10 -#define MORSE_FUNC_ZPOSV 11 -#define MORSE_FUNC_ZGESV 12 -#define MORSE_FUNC_ZCGESV 13 -#define MORSE_FUNC_DSGESV 14 -#define MORSE_FUNC_ZCPOSV 15 -#define MORSE_FUNC_DSPOSV 16 -#define MORSE_FUNC_DSGELS 17 -#define MORSE_FUNC_ZCGELS 18 -#define MORSE_FUNC_SGEMM 19 -#define MORSE_FUNC_DGEMM 20 -#define MORSE_FUNC_CGEMM 21 -#define MORSE_FUNC_ZGEMM 22 -#define MORSE_FUNC_SSYMM 23 -#define MORSE_FUNC_DSYMM 24 -#define MORSE_FUNC_CSYMM 25 -#define MORSE_FUNC_ZSYMM 26 -#define MORSE_FUNC_CHERK 27 -#define MORSE_FUNC_ZHERK 28 -#define MORSE_FUNC_SSYRK 29 -#define MORSE_FUNC_DSYRK 30 -#define MORSE_FUNC_CSYRK 31 -#define MORSE_FUNC_ZSYRK 32 -#define MORSE_FUNC_CHEMM 33 -#define MORSE_FUNC_ZHEMM 34 -#define MORSE_FUNC_ZHEEV 35 -#define MORSE_FUNC_CHEEV 36 -#define MORSE_FUNC_DSYEV 37 -#define MORSE_FUNC_SSYEV 38 -#define MORSE_FUNC_ZHEEVD 39 -#define MORSE_FUNC_CHEEVD 40 -#define MORSE_FUNC_DSYEVD 41 -#define MORSE_FUNC_SSYEVD 42 -#define MORSE_FUNC_ZHEGST 43 -#define MORSE_FUNC_CHEGST 44 -#define MORSE_FUNC_DSYGST 45 -#define MORSE_FUNC_SSYGST 46 -#define MORSE_FUNC_ZHEGV 47 -#define MORSE_FUNC_CHEGV 48 -#define MORSE_FUNC_DSYGV 49 -#define MORSE_FUNC_SSYGV 50 -#define MORSE_FUNC_ZHEGVD 51 -#define MORSE_FUNC_CHEGVD 52 -#define MORSE_FUNC_DSYGVD 53 -#define MORSE_FUNC_SSYGVD 54 -#define MORSE_FUNC_ZHETRD 55 -#define MORSE_FUNC_CHETRD 56 -#define MORSE_FUNC_DSYTRD 57 -#define MORSE_FUNC_SSYTRD 58 -#define MORSE_FUNC_ZGESVD 59 -#define MORSE_FUNC_CGESVD 60 -#define MORSE_FUNC_DGESVD 61 -#define MORSE_FUNC_SGESVD 62 -#define MORSE_FUNC_ZGEEV 63 -#define MORSE_FUNC_CGEEV 64 -#define MORSE_FUNC_DGEEV 65 -#define MORSE_FUNC_SGEEV 66 -#define MORSE_FUNC_ZGEHRD 67 -#define MORSE_FUNC_CGEHRD 68 -#define MORSE_FUNC_DGEHRD 69 -#define MORSE_FUNC_SGEHRD 70 -#define MORSE_FUNC_ZGEBRD 71 -#define MORSE_FUNC_CGEBRD 72 -#define MORSE_FUNC_DGEBRD 73 -#define MORSE_FUNC_SGEBRD 74 -#define MORSE_FUNC_ZSYSV 75 -#define MORSE_FUNC_CSYSV 76 + */ +#define CHAMELEON_FUNC_SGELS 1 +#define CHAMELEON_FUNC_SPOSV 2 +#define CHAMELEON_FUNC_SGESV 3 +#define CHAMELEON_FUNC_DGELS 4 +#define CHAMELEON_FUNC_DPOSV 5 +#define CHAMELEON_FUNC_DGESV 6 +#define CHAMELEON_FUNC_CGELS 7 +#define CHAMELEON_FUNC_CPOSV 8 +#define CHAMELEON_FUNC_CGESV 9 +#define CHAMELEON_FUNC_ZGELS 10 +#define CHAMELEON_FUNC_ZPOSV 11 +#define CHAMELEON_FUNC_ZGESV 12 +#define CHAMELEON_FUNC_ZCGESV 13 +#define CHAMELEON_FUNC_DSGESV 14 +#define CHAMELEON_FUNC_ZCPOSV 15 +#define CHAMELEON_FUNC_DSPOSV 16 +#define CHAMELEON_FUNC_DSGELS 17 +#define CHAMELEON_FUNC_ZCGELS 18 +#define CHAMELEON_FUNC_SGEMM 19 +#define CHAMELEON_FUNC_DGEMM 20 +#define CHAMELEON_FUNC_CGEMM 21 +#define CHAMELEON_FUNC_ZGEMM 22 +#define CHAMELEON_FUNC_SSYMM 23 +#define CHAMELEON_FUNC_DSYMM 24 +#define CHAMELEON_FUNC_CSYMM 25 +#define CHAMELEON_FUNC_ZSYMM 26 +#define CHAMELEON_FUNC_CHERK 27 +#define CHAMELEON_FUNC_ZHERK 28 +#define CHAMELEON_FUNC_SSYRK 29 +#define CHAMELEON_FUNC_DSYRK 30 +#define CHAMELEON_FUNC_CSYRK 31 +#define CHAMELEON_FUNC_ZSYRK 32 +#define CHAMELEON_FUNC_CHEMM 33 +#define CHAMELEON_FUNC_ZHEMM 34 +#define CHAMELEON_FUNC_ZHEEV 35 +#define CHAMELEON_FUNC_CHEEV 36 +#define CHAMELEON_FUNC_DSYEV 37 +#define CHAMELEON_FUNC_SSYEV 38 +#define CHAMELEON_FUNC_ZHEEVD 39 +#define CHAMELEON_FUNC_CHEEVD 40 +#define CHAMELEON_FUNC_DSYEVD 41 +#define CHAMELEON_FUNC_SSYEVD 42 +#define CHAMELEON_FUNC_ZHEGST 43 +#define CHAMELEON_FUNC_CHEGST 44 +#define CHAMELEON_FUNC_DSYGST 45 +#define CHAMELEON_FUNC_SSYGST 46 +#define CHAMELEON_FUNC_ZHEGV 47 +#define CHAMELEON_FUNC_CHEGV 48 +#define CHAMELEON_FUNC_DSYGV 49 +#define CHAMELEON_FUNC_SSYGV 50 +#define CHAMELEON_FUNC_ZHEGVD 51 +#define CHAMELEON_FUNC_CHEGVD 52 +#define CHAMELEON_FUNC_DSYGVD 53 +#define CHAMELEON_FUNC_SSYGVD 54 +#define CHAMELEON_FUNC_ZHETRD 55 +#define CHAMELEON_FUNC_CHETRD 56 +#define CHAMELEON_FUNC_DSYTRD 57 +#define CHAMELEON_FUNC_SSYTRD 58 +#define CHAMELEON_FUNC_ZGESVD 59 +#define CHAMELEON_FUNC_CGESVD 60 +#define CHAMELEON_FUNC_DGESVD 61 +#define CHAMELEON_FUNC_SGESVD 62 +#define CHAMELEON_FUNC_ZGEEV 63 +#define CHAMELEON_FUNC_CGEEV 64 +#define CHAMELEON_FUNC_DGEEV 65 +#define CHAMELEON_FUNC_SGEEV 66 +#define CHAMELEON_FUNC_ZGEHRD 67 +#define CHAMELEON_FUNC_CGEHRD 68 +#define CHAMELEON_FUNC_DGEHRD 69 +#define CHAMELEON_FUNC_SGEHRD 70 +#define CHAMELEON_FUNC_ZGEBRD 71 +#define CHAMELEON_FUNC_CGEBRD 72 +#define CHAMELEON_FUNC_DGEBRD 73 +#define CHAMELEON_FUNC_SGEBRD 74 +#define CHAMELEON_FUNC_ZSYSV 75 +#define CHAMELEON_FUNC_CSYSV 76 + +typedef int CHAM_enum; -#endif +#endif /* _chameleon_global_h_ */ diff --git a/include/morse_starpu.h b/include/morse_starpu.h deleted file mode 100755 index 95ddcd4..0000000 --- a/include/morse_starpu.h +++ /dev/null @@ -1,69 +0,0 @@ -/** - * - * @copyright (c) 2009-2014 The University of Tennessee and The University - * of Tennessee Research Foundation. - * All rights reserved. - * @copyright (c) 2012-2014 Inria. All rights reserved. - * @copyright (c) 2012-2014 Bordemisc INP, CNRS (LaBRI UMR 5800), Inria, Univ. Bordemisc. All rights reserved. - * - **/ - -/** - * - * @file morse_starpu.h - * - * MORSE codelets kernel - * MORSE is a software package provided by Univ. of Tennessee, - * Univ. of California Berkeley and Univ. of Colorado Denver, - * and INRIA Bordemisc Sud-Ouest - * - * @version 1.0.0 - * @author Mathieu Faverge - * @author Cedric Castagnede - * @date 2018-11-11 - * - **/ - -/******************************************************************************/ - -/* - * MORSE facilities of interest to both src and magmablas directories - **/ -#ifndef _MORSE_STARPU_H_ -#define _MORSE_STARPU_H_ - -#if defined(CHAMELEON_USE_MPI) -#include -#else -#include -#endif - -#include - -#if defined(CHAMELEON_USE_CUDA) -#include -#include -#endif - -#include "cblas.h" -#include "runtime/starpu/runtime_codelet_d.h" -#include "runtime/starpu/runtime_profiling.h" -#include "runtime/starpu/runtime_codelet_profile.h" -#include "runtime/starpu/runtime_workspace.h" -typedef struct starpu_conf starpu_conf_t; - -/** **************************************************************************** - * MPI Redefinitions - **/ -#if defined(CHAMELEON_USE_MPI) -#undef STARPU_REDUX -#define starpu_insert_task(...) starpu_mpi_insert_task(MPI_COMM_WORLD, __VA_ARGS__) -#endif - -/** **************************************************************************** - * Access to block pointer and leading dimension - **/ - -void RUNTIME_set_reduction_methods(starpu_data_handle_t handle, MORSE_enum dtyp); - -#endif /* _MORSE_STARPU_H_ */ diff --git a/include/morse_tasks_ds.h b/include/morse_tasks_ds.h deleted file mode 100644 index 84f14c7..0000000 --- a/include/morse_tasks_ds.h +++ /dev/null @@ -1,46 +0,0 @@ -/** - * - * @copyright (c) 2009-2014 The University of Tennessee and The University - * of Tennessee Research Foundation. - * All rights reserved. - * @copyright (c) 2012-2014 Inria. All rights reserved. - * @copyright (c) 2012-2014 Bordeaux INP, CNRS (LaBRI UMR 5800), Inria, Univ. Bordeaux. All rights reserved. - * - **/ - -/** - * - * @file morse_tasks_ds.h - * - * MORSE auxiliary routines - * MORSE is a software package provided by Univ. of Tennessee, - * Univ. of California Berkeley and Univ. of Colorado Denver - * - * @version 2.5.0 - * @comment This file has been automatically generated - * from Plasma 2.5.0 for MORSE 1.0.0 - * @author Jakub Kurzak - * @author Hatem Ltaief - * @author Mathieu Faverge - * @author Emmanuel Agullo - * @author Cedric Castagnede - * @date 2010-11-15 - * @generated ds Mon Dec 18 10:18:50 2017 - * - **/ -#ifndef _MORSE_TASKS_D_H_ -#define _MORSE_TASKS_D_H_ - -/** **************************************************************************** - * Declarations of QUARK wrappers (called by MORSE) - alphabetical order - **/ -void MORSE_TASK_slag2d(MORSE_option_t *options, - int m, int n, int nb, - MORSE_desc_t *A, int Am, int An, int lda, - MORSE_desc_t *B, int Bm, int Bn, int ldb); -void MORSE_TASK_dlag2s(MORSE_option_t *options, - int m, int n, int nb, - MORSE_desc_t *A, int Am, int An, int lda, - MORSE_desc_t *B, int Bm, int Bn, int ldb); - -#endif diff --git a/include/morse_tasks_zc.h b/include/morse_tasks_zc.h deleted file mode 100644 index bbba2c6..0000000 --- a/include/morse_tasks_zc.h +++ /dev/null @@ -1,57 +0,0 @@ -/** - * - * @copyright (c) 2009-2014 The University of Tennessee and The University - * of Tennessee Research Foundation. - * All rights reserved. - * @copyright (c) 2012-2014 Inria. All rights reserved. - * @copyright (c) 2012-2014 Bordeaux INP, CNRS (LaBRI UMR 5800), Inria, Univ. Bordeaux. All rights reserved. - * - **/ - -/** - * - * @file morse_tasks_zc.h - * - * MORSE auxiliary routines - * MORSE is a software package provided by Univ. of Tennessee, - * Univ. of California Berkeley and Univ. of Colorado Denver - * - * @version 2.5.0 - * @comment This file has been automatically generated - * from Plasma 2.5.0 for MORSE 1.0.0 - * @author Jakub Kurzak - * @author Hatem Ltaief - * @author Mathieu Faverge - * @author Emmanuel Agullo - * @author Cedric Castagnede - * @date 2010-11-15 - * @precisions mixed zc -> ds - * - **/ -#ifndef _MORSE_TASKS_Zv_H_ -#define _MORSE_TASKS_Zv_H_ - -/** **************************************************************************** - * Declarations of QUARK wrappers (called by MORSE) - alphabetical order - **/ -void MORSE_TASK_slag2d(MORSE_option_t *options, - int m, int n, int nb, - MORSE_desc_t *A, int Am, int An, int lda, - MORSE_desc_t *B, int Bm, int Bn, int ldb); - -void MORSE_TASK_dlag2s(MORSE_option_t *options, - int m, int n, int nb, - MORSE_desc_t *A, int Am, int An, int lda, - MORSE_desc_t *B, int Bm, int Bn, int ldb); - -void MORSE_TASK_sdconv(const MORSE_option_t *options, - int m, int n, int nb, - const MORSE_desc_t *A, int Am, int An, int lda, - const MORSE_desc_t *B, int Bm, int Bn, int ldb); - -void MORSE_TASK_dsconv(const MORSE_option_t *options, - int m, int n, int nb, - const MORSE_desc_t *A, int Am, int An, int lda, - const MORSE_desc_t *B, int Bm, int Bn, int ldb); - -#endif diff --git a/include/runtime_codelet_d.h b/include/runtime_codelet_d.h deleted file mode 100644 index 2f87fb2..0000000 --- a/include/runtime_codelet_d.h +++ /dev/null @@ -1,144 +0,0 @@ -/** - * - * @copyright (c) 2009-2014 The University of Tennessee and The University - * of Tennessee Research Foundation. - * All rights reserved. - * @copyright (c) 2012-2014 Inria. All rights reserved. - * @copyright (c) 2012-2014 Bordeaux INP, CNRS (LaBRI UMR 5800), Inria, Univ. Bordeaux. All rights reserved. - * - **/ - -/** - * - * @file runtime_codelet_d.h - * - * MORSE codelets kernel - * MORSE is a software package provided by Univ. of Tennessee, - * Univ. of California Berkeley and Univ. of Colorado Denver, - * and INRIA Bordeaux Sud-Ouest - * - * @version 1.0.0 - * @author Cedric Augonnet - * @author Mathieu Faverge - * @author Cedric Castagnede - * @date 2018-11-11 - * @generated d Fri Dec 1 14:38:51 2017 - * - **/ - -#ifndef _CODELETS_D_H_ -#define _CODELETS_D_H_ - -#include -#include "runtime/starpu/runtime_codelets.h" - -#include "chameleon/morse_tasks_d.h" -#include "chameleon/morse_tasks_ds.h" -#if !defined(CHAMELEON_SIMULATION) -#include "coreblas/coreblas_d.h" -#if defined(CHAMELEON_USE_CUDA) -#include "cudablas.h" -#endif -#endif - -/* - * Management functions - */ -DCODELETS_HEADER(tile_zero) - -/* - * BLAS 1 functions - */ -DCODELETS_HEADER(axpy) - -/* - * BLAS 3 functions - */ -DCODELETS_HEADER(gemm) -DCODELETS_HEADER(symm) -DCODELETS_HEADER(syr2k) -DCODELETS_HEADER(syrk) -DCODELETS_HEADER(symm) -DCODELETS_HEADER(syr2k) -DCODELETS_HEADER(syrk) -DCODELETS_HEADER(trmm) -DCODELETS_HEADER(trsm) - -/* - * LAPACK functions - */ -DCODELETS_HEADER(gelqt) -DCODELETS_HEADER(geqrt) -DCODELETS_HEADER(gessm) -DCODELETS_HEADER(gessq) -DCODELETS_HEADER(getrf) -DCODELETS_HEADER(getrf_incpiv) -DCODELETS_HEADER(getrf_nopiv) -DCODELETS_HEADER(syrfb) -DCODELETS_HEADER(lauum) -DCODELETS_HEADER(potrf) -DCODELETS_HEADER(ssssm) -DCODELETS_HEADER(syssq) -DCODELETS_HEADER(trasm) -DCODELETS_HEADER(trssq) -DCODELETS_HEADER(trtri) -DCODELETS_HEADER(tpqrt) -DCODELETS_HEADER(tpmqrt) -DCODELETS_HEADER(tslqt) -DCODELETS_HEADER(tsmlq) -DCODELETS_HEADER(tsmqr) -DCODELETS_HEADER(tsmlq_hetra1) -DCODELETS_HEADER(tsmqr_hetra1) -DCODELETS_HEADER(tsqrt) -DCODELETS_HEADER(tstrf) -DCODELETS_HEADER(ttlqt) -DCODELETS_HEADER(ttmlq) -DCODELETS_HEADER(ttmqr) -DCODELETS_HEADER(ttqrt) -DCODELETS_HEADER(ormlq) -DCODELETS_HEADER(ormqr) - -/* - * Auxiliary functions - */ -DCODELETS_HEADER(geadd) -DCODELETS_HEADER(he2ge) -DCODELETS_HEADER(lascal) -DCODELETS_HEADER(tradd) -DCODELETS_HEADER(lacpy) -DCODELETS_HEADER(lange) -DCODELETS_HEADER(lange_max) -DCODELETS_HEADER(lansy) -DCODELETS_HEADER(lantr) -DCODELETS_HEADER(laset) -DCODELETS_HEADER(laset2) -DCODELETS_HEADER(latro) -DCODELETS_HEADER(plssq) -DCODELETS_HEADER(plssq2) - -/* - * MIXED PRECISION functions - */ -DCODELETS_HEADER(lag2s) -DCODELETS_HEADER(dsconv) -DCODELETS_HEADER(sdconv) -/* - * DZ functions - */ -DCODELETS_HEADER(asum) - -/* - * CPU only functions - */ -DCODELETS_HEADER(plrnt) -DCODELETS_HEADER(build) - -#if defined(PRECISION_z) || defined(PRECISION_c) -DCODELETS_HEADER(syssq) -DCODELETS_HEADER(lansy) -DCODELETS_HEADER(plgsy) -DCODELETS_HEADER(sytrf_nopiv) -#endif -DCODELETS_HEADER(plgsy) - -#endif /* _CODELETS_D_H_ */ diff --git a/include/runtime_codelet_s.h b/include/runtime_codelet_s.h deleted file mode 100755 index 68711f1..0000000 --- a/include/runtime_codelet_s.h +++ /dev/null @@ -1,137 +0,0 @@ -/** - * - * @file runtime_codelet_s.h - * - * @copyright 2009-2014 The University of Tennessee and The University of - * Tennessee Research Foundation. All rights reserved. - * @copyright 2012-2014 Bordeaux INP, CNRS (LaBRI UMR 5800), Inria, - * Univ. Bordeaux. All rights reserved. - * - *** - * - * @brief Chameleon StarPU float codelets header - * - * @version 1.0.0 - * @author Cedric Augonnet - * @author Mathieu Faverge - * @author Cedric Castagnede - * @date 2011-06-01 - * @generated s Sun Nov 25 16:59:42 2018 - * - */ -#ifndef _CODELETS_S_H_ -#define _CODELETS_S_H_ - -#include -#include "runtime/starpu/runtime_codelets.h" - -#include "chameleon/morse_tasks_d.h" -#include "chameleon/morse_tasks_ds.h" -#if !defined(CHAMELEON_SIMULATION) -#include "coreblas/coreblas_d.h" -#if defined(CHAMELEON_USE_CUDA) -#include "cudablas.h" -#endif -#endif -/* - * Management functions - */ -SCODELETS_HEADER(tile_zero) - -/* - * BLAS 1 functions - */ -SCODELETS_HEADER(axpy) - -/* - * BLAS 3 functions - */ -SCODELETS_HEADER(gemm) -SCODELETS_HEADER(symm) -SCODELETS_HEADER(syr2k) -SCODELETS_HEADER(syrk) -SCODELETS_HEADER(symm) -SCODELETS_HEADER(syr2k) -SCODELETS_HEADER(syrk) -SCODELETS_HEADER(trmm) -SCODELETS_HEADER(trsm) - -/* - * LAPACK functions - */ -SCODELETS_HEADER(gelqt) -SCODELETS_HEADER(geqrt) -SCODELETS_HEADER(gessm) -SCODELETS_HEADER(gessq) -SCODELETS_HEADER(getrf) -SCODELETS_HEADER(getrf_incpiv) -SCODELETS_HEADER(getrf_nopiv) -SCODELETS_HEADER(syrfb) -SCODELETS_HEADER(lauum) -SCODELETS_HEADER(potrf) -SCODELETS_HEADER(ssssm) -SCODELETS_HEADER(syssq) -SCODELETS_HEADER(trasm) -SCODELETS_HEADER(trssq) -SCODELETS_HEADER(trtri) -SCODELETS_HEADER(tplqt) -SCODELETS_HEADER(tpqrt) -SCODELETS_HEADER(tpmlqt) -SCODELETS_HEADER(tpmqrt) -SCODELETS_HEADER(tslqt) -SCODELETS_HEADER(tsmlq) -SCODELETS_HEADER(tsmqr) -SCODELETS_HEADER(tsmlq_hetra1) -SCODELETS_HEADER(tsmqr_hetra1) -SCODELETS_HEADER(tsqrt) -SCODELETS_HEADER(tstrf) -SCODELETS_HEADER(ttlqt) -SCODELETS_HEADER(ttmlq) -SCODELETS_HEADER(ttmqr) -SCODELETS_HEADER(ttqrt) -SCODELETS_HEADER(ormlq) -SCODELETS_HEADER(ormqr) - -/* - * Auxiliary functions - */ -SCODELETS_HEADER(geadd) -SCODELETS_HEADER(he2ge) -SCODELETS_HEADER(lascal) -SCODELETS_HEADER(tradd) -SCODELETS_HEADER(lacpy) -SCODELETS_HEADER(lange) -SCODELETS_HEADER(lange_max) -SCODELETS_HEADER(lansy) -SCODELETS_HEADER(lantr) -SCODELETS_HEADER(laset) -SCODELETS_HEADER(laset2) -SCODELETS_HEADER(latro) -SCODELETS_HEADER(plssq) -SCODELETS_HEADER(plssq2) - -/* - * MIXED PRECISION functions - */ -SCODELETS_HEADER(lag2d) - -/* - * DZ functions - */ -SCODELETS_HEADER(asum) - -/* - * CPU only functions - */ -SCODELETS_HEADER(plrnt) -SCODELETS_HEADER(build) - -#if defined(PRECISION_z) || defined(PRECISION_c) -SCODELETS_HEADER(syssq) -SCODELETS_HEADER(lansy) -SCODELETS_HEADER(plgsy) -SCODELETS_HEADER(sytrf_nopiv) -#endif -SCODELETS_HEADER(plgsy) - -#endif /* _CODELETS_S_H_ */ diff --git a/include/tile.h b/include/tile.h deleted file mode 100644 index fc298b2..0000000 --- a/include/tile.h +++ /dev/null @@ -1,63 +0,0 @@ -/** - * - * @copyright (c) 2009-2014 The University of Tennessee and The University - * of Tennessee Research Foundation. - * All rights reserved. - * @copyright (c) 2012-2014 Inria. All rights reserved. - * @copyright (c) 2012-2014 Bordeaux INP, CNRS (LaBRI UMR 5800), Inria, Univ. Bordeaux. All rights reserved. - * - **/ - -/** - * - * @file tile.h - * - * MORSE auxiliary routines - * MORSE is a software package provided by Univ. of Tennessee, - * Univ. of California Berkeley and Univ. of Colorado Denver - * - * @version 1.0.0 - * @author Jakub Kurzak - * @author Cedric Castagnede - * @date 2018-11-11 - * - **/ -#ifndef _MORSE_TILE_H_ -#define _MORSE_TILE_H_ - -#if defined( _WIN32 ) || defined( _WIN64 ) -typedef __int64 int64_t; -#else -#include -#endif - -#define ELTADDR(A, type, m, n) (type *)morse_geteltaddr(A, m, n) -#define ELTLDD(A, k) ( ( (((k)-1)/(A).mb) + (A).i/(A).mb) < (A).lm1 ? (A).mb : (A).lm%(A).mb ) - -#ifdef __cplusplus -extern "C" { -#endif - -/******************************************************************************* - * Internal routines - dynamic scheduling - **/ -void morse_pztile_to_lapack(MORSE_desc_t*, MORSE_Complex64_t*, int, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pctile_to_lapack(MORSE_desc_t*, MORSE_Complex32_t*, int, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdtile_to_lapack(MORSE_desc_t*, double*, int, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pstile_to_lapack(MORSE_desc_t*, float*, int, MORSE_sequence_t *sequence, MORSE_request_t *request); - -void morse_pzlapack_to_tile(MORSE_Complex64_t*, int, MORSE_desc_t*, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pclapack_to_tile(MORSE_Complex32_t*, int, MORSE_desc_t*, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdlapack_to_tile(double*, int, MORSE_desc_t*, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pslapack_to_tile(float*, int, MORSE_desc_t*, MORSE_sequence_t *sequence, MORSE_request_t *request); - -void morse_pztile_zero(MORSE_desc_t *dA, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pctile_zero(MORSE_desc_t *dA, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pdtile_zero(MORSE_desc_t *dA, MORSE_sequence_t *sequence, MORSE_request_t *request); -void morse_pstile_zero(MORSE_desc_t *dA, MORSE_sequence_t *sequence, MORSE_request_t *request); - -#ifdef __cplusplus -} -#endif - -#endif diff --git a/lapack_version/LAPACKE_MLE b/lapack_version/LAPACKE_MLE new file mode 100755 index 0000000000000000000000000000000000000000..0ce0bbd73e5915f13308999e0bb604656ef414d3 GIT binary patch literal 23712 zcmch93wTu3wf~t+0uji}1QQ90deA`wC6fdR5^7*V5;&0wq!1Li$Ye5^Nm3@6d@~aS z_|6BVpIWx@k z-~au8-+zB|&f073wbowyz4ke0_7@slOL9ymMTQ(@p+eaCtDKC)?~1Z#6+;DWzLKvv 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**/ +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include "flops.h" +#include +#include "plasma_types.h" +//#include +//Sameh Testing MOde +#define MIN_RAND -0.4 +#define MAX_RAND 0.4 +#define R 2 +#define L 3 +#define USAGE(args, details) \ + printf( " Proper Usage is : ./main_genton "args" \n" \ + details); + +#define PI (3.141592653589793) + +#define START_TIMING(_t) \ + _t =- cWtime(); + +#define STOP_TIMING(_t) \ + _t += cWtime(); + +double cWtime(void) { + struct timeval tp; + gettimeofday(&tp, NULL); + return tp.tv_sec + 1e-6 * tp.tv_usec; +} + +enum blas_order_type { + blas_rowmajor = 101, blas_colmajor = 102 +}; + +enum blas_cmach_type { + blas_base = 151, + blas_t = 152, + blas_rnd = 153, + blas_ieee = 154, + blas_emin = 155, + blas_emax = 156, + blas_eps = 157, + blas_prec = 158, + blas_underflow = 159, + blas_overflow = 160, + blas_sfmin = 161 +}; + +enum blas_norm_type { + blas_one_norm = 171, + blas_real_one_norm = 172, + blas_two_norm = 173, + blas_frobenius_norm = 174, + blas_inf_norm = 175, + blas_real_inf_norm = 176, + blas_max_norm = 177, + blas_real_max_norm = 178 +}; + +static void BLAS_error(char *rname, int err, int val, int x) { + fprintf( stderr, "%s %d %d %d\n", rname, err, val, x); + abort(); +} + +static +void BLAS_dge_norm(enum blas_order_type order, enum blas_norm_type norm, int m, + int n, const double *a, int lda, double *res) { + int i, j; + float anorm, v; + char rname[] = "BLAS_dge_norm"; + + if (order != blas_colmajor) + BLAS_error(rname, -1, order, 0); + + if (norm == blas_frobenius_norm) { + anorm = 0.0f; + for (j = n; j; --j) { + for (i = m; i; --i) { + v = a[0]; + anorm += v * v; + a++; + } + a += lda - m; + } + anorm = sqrt(anorm); + } else if (norm == blas_inf_norm) { + anorm = 0.0f; + for (i = 0; i < m; ++i) { + v = 0.0f; + for (j = 0; j < n; ++j) { + v += fabs(a[i + j * lda]); + } + if (v > anorm) + anorm = v; + } + } else { + BLAS_error(rname, -2, norm, 0); + return; + } + + if (res) + *res = anorm; +} + +static +double BLAS_dpow_di(double x, int n) { + double rv = 1.0; + + if (n < 0) { + n = -n; + x = 1.0 / x; + } + + for (; n; n >>= 1, x *= x) { + if (n & 1) + rv *= x; + } + + return rv; +} + +static +double BLAS_dfpinfo(enum blas_cmach_type cmach) { + double eps = 1.0, r = 1.0, o = 1.0, b = 2.0; + int t = 53, l = 1024, m = -1021; + char rname[] = "BLAS_dfpinfo"; + + if ((sizeof eps) == sizeof(float)) { + t = 24; + l = 128; + m = -125; + } else { + t = 53; + l = 1024; + m = -1021; + } + + /* for (i = 0; i < t; ++i) eps *= half; */ + eps = BLAS_dpow_di(b, -t); + /* for (i = 0; i >= m; --i) r *= half; */ + r = BLAS_dpow_di(b, m - 1); + + o -= eps; + /* for (i = 0; i < l; ++i) o *= b; */ + o = (o * BLAS_dpow_di(b, l - 1)) * b; + + switch (cmach) { + case blas_eps: + return eps; + case blas_sfmin: + return r; + default: + BLAS_error(rname, -1, cmach, 0); + break; + } + return 0.0; +} + +static int check_factorization(int, double*, double*, int, int, double); +//static int check_solution(int, int, double*, int, double*, double*, int, double); + +static int GenerateDistanceMatrix(int n); +static int GenerateCovMatrix(double* C, double * X, double * Y, int N, double *theta); +static double CalculateDistance(double x1, double y1, double x2, double y2); +static double uniform_distribution(double rangeLow, double rangeHigh); +//static void writetofile(char* fname, int m, int n, double* a, int lda); +//static void print_matrix(char* desc, int m, int n, double* a, int lda); + +int LAPACKE_ML_GenerateZVec_tile(double * initial_theta); +double LAPACKE_MLE(unsigned n, const double * theta, double * grad, void * my_func_data); +void LAPACKE_ML_finalize(); +void write_to_file(char * path, int matrix_size,int nthreads, double gflops, double avg_time); + +double * C ; +double * XLOCs,*YLOCs; +double * Z; +double * Zcpy; +double * Ccpy; +size_t N,NRHS,LDC,LDZ,check,verbose; +int iter_count = 0; +int ncores; +int num_params = 6; +int main(int argc, char **argv) { + + /* Check for number of arguments*/ + if (argc != 8) { + USAGE("NCORES N TS CHECK VERBOSE", + " - NCORES : number of cores\n" " - N : the size of the matrix\n" //sameh + " - CHECK : check the factorization and the solution\n" " - VERBOSE : verbose\n"); + return -1; + } + + ncores = atoi(argv[1]); + N = atoi(argv[2]); + //int ts = atoi(argv[3]); + check = atoi(argv[3]); + verbose = atoi(argv[4]); + double time_opt=0.0; + double max_theta_hat=0.0; + NRHS = 1; + LDC = N; + LDZ = N; + + printf("================================================================================================ N:%d\n",N); + + //Memory Allocation + C = (double *) malloc((size_t)LDC *(size_t) N * sizeof(double)); + Z = (double *) malloc(LDZ * (size_t)NRHS * sizeof(double)); + Zcpy = (double *) malloc(LDZ * (size_t)NRHS * sizeof(double)); + XLOCs = (double *) malloc((size_t)N * sizeof(double)); + YLOCs = (double *) malloc((size_t)N * sizeof(double)); + + if (check == 1) + Ccpy = (double *) malloc(LDC * N * sizeof(double)); + + /* Check if unable to allocate memory */ + if ((!C) || (!Z) || (!Zcpy)) { + printf("Out of Memory for C, Zcpy and Z\n "); + return -2; + } + + if (check == 1 && (!Ccpy)) { + printf("Out of Memory for Ccpy\n "); + return -2; + } + + //stop gsl error handler + gsl_set_error_handler_off () ; + + double * initial_theta=(double *) malloc(num_params * sizeof(double)); + + initial_theta[0]=atof(argv[5]); + initial_theta[1]=atof(argv[6]); + initial_theta[2]=atof(argv[7]); + initial_theta[3]=atof(argv[8]); + initial_theta[4]=atof(argv[9]); + initial_theta[5]=atof(argv[10]); + + + // Generate Observations Vector (Z) for testing phase + LAPACKE_ML_GenerateZVec_tile(initial_theta); + + + double * starting_theta=(double *) malloc(num_params * sizeof(double)); + starting_theta[0]=1; + starting_theta[1]=0.1; + starting_theta[2]=0.5; + starting_theta[3]=1; + starting_theta[4]=0.1; + starting_theta[5]=0.5; + + nlopt_opt opt; + opt=nlopt_create( NLOPT_LN_BOBYQA, num_params); + double lb[6]={0.01, 0.01, 0.01, 0.01, 0.01, 0.01}; + double up[6]={5, 5, 5, 4, 5, 5}; + nlopt_set_lower_bounds(opt, lb); + nlopt_set_upper_bounds(opt, up); + double * opt_f; + nlopt_set_xtol_rel(opt, 1e-5); + + + START_TIMING(time_opt); + + nlopt_set_max_objective(opt, LAPACKE_MLE ,NULL ); + nlopt_optimize(opt, starting_theta, &opt_f); + //Maximum Likelihood (Optimization Phase using dlib library) + //LAPACKE_MLE(0.5); + //LAPACKE_MLE(0.9); + STOP_TIMING(time_opt); + + + + printf("No. of iteration to converage=%d\n",iter_count); + printf("Total Optimization Time= %6.2f\n",time_opt); + printf("Max Theta_hat: %6.2f\n",max_theta_hat); + + //Free Memory Allocation + LAPACKE_ML_finalize(); + + return 0; +} + + + + + +//Generate Observations Vector (Z) for testing Maximum Likelihood function +int LAPACKE_ML_GenerateZVec_tile(double * initial_theta) { + + //Initialization + double flops=0; + double eps; + int info_factorization; + double time_gen=0.0; + double time_dportf=0.0; + + + eps = BLAS_dfpinfo(blas_eps); + + if (verbose == 1) + fprintf(stderr, "Initializing Distance Matrix ...\n"); + + + //Uniform random generation of distance matrix (For testing Phase) + GenerateDistanceMatrix(N); + + //printf(" ---- Matrix Generation Time: %6.2f\n", time_gen); + + + if (verbose == 1) + fprintf(stderr, "Done ...\n"); + + START_TIMING(time_gen); + if (verbose == 1) + fprintf(stderr, "Initializing Co-variance Matrix ...\n"); + //Generate co-variance matrix C + GenerateCovMatrix(C, XLOCs,YLOCs, N, initial_theta); + STOP_TIMING(time_gen); + /* + int index2=0; + for (index2=0;index2 <16*16 ;index2++) + { printf("%f ",C[index2],C[index2]); + if((index2+1)%16==0) + printf("\n"); + } + printf("\n"); + exit(0); + */ + printf(" ---- Matrix Generation Time: %6.2f\n", time_gen); + + + if (verbose == 1) + fprintf(stderr, "Done ...\n"); + + + + if (check == 1) + LAPACKE_dlacpy(LAPACK_COL_MAJOR,'L', N, N, C, LDC, Ccpy, LDC); + + //For Matlab Test + //writetofile("matrix.txt", N, N, C, N); //Sameh; + + if (verbose == 1) + fprintf(stderr, "Cholesky factorization of Sigma (Generation Phase) ...\n"); + + //Cholesky factorization + START_TIMING(time_dportf); + + int success = LAPACKE_dpotrf(LAPACK_COL_MAJOR,'L', N, C, LDC); + + STOP_TIMING(time_dportf); + + printf("dportf execution time: %f\n",time_dportf); + /* if (!success) { + printf("Factorization cannot be performed..\n" + "The matrix is not positive definite\n\n"); + exit(0); + } + */ + + flops = flops + FLOPS_DPOTRF(N); + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + //**************************TESTING DPOTRF + if (check == 1) { + fprintf(stderr, "\n"); + fprintf(stderr, "\n"); + info_factorization = check_factorization(N, Ccpy, C, LDC, PlasmaLower, eps); + if (info_factorization == 0) { + printf("***************************************************\n"); + printf(" ---- TESTING DPOTRF (%s)............ PASSED !\n", "LOWER"); + printf("***************************************************\n"); + } + fprintf(stderr, "\n\n"); + } + //********************************************* + + if (verbose == 1) + fprintf(stderr, "Initialization of measurement vector ..."); + + + + //Generate Z Vector based on C + int * iseed = (int *) malloc(4 * sizeof(int)); + iseed[0] = 0; + iseed[1] = 0; + iseed[2] = 0; + iseed[3] = 1; + + //Uniform random generation of e -- ei~N(0,1) + LAPACKE_dlarnv(3, iseed, N, Z); + + //Calculate Z=V.e where C=VV-1 + cblas_dtrmm(CblasColMajor, CblasLeft, CblasLower, CblasNoTrans, CblasNonUnit, + N, NRHS, 1, C, LDC, Z, LDZ); + + //Copy Z to Zcpy + LAPACKE_dlacpy(LAPACK_COL_MAJOR,'L', N, NRHS, Z, LDZ, Zcpy, LDZ); + + //int index=0; + //for (index=0;index <16;index++) + //printf("%d - ",Z[index]); + //exit(0); + + if (verbose == 1) + fprintf(stderr, "\nDone Z Vector Generation Phase.\n"); + + + return 0; +} + +double LAPACKE_MLE(unsigned n, const double * theta, double * grad, void * my_func_data) { + + //Initialization + double theta_hat,det=1.0,logdet=0.0; + double eps; + int info_factorization; + int i=0; + double time_facto = 0.0, time_solve = 0.0, logdet_calculate = 0.0, time_gen=0.0; + double flops = 0.0; + + eps = BLAS_dfpinfo(blas_eps); + + START_TIMING(time_gen); + + //Generate new co-variance matrix C based on new theta + GenerateCovMatrix(C, XLOCs, YLOCs, N, (double*)theta); + + STOP_TIMING(time_gen); + + + + printf("\n Matrix Generation Time: %6.2f\n", time_gen); + + if (check == 1) + LAPACKE_dlacpy(CblasColMajor,PlasmaGeneral, N, N, C, LDC, Ccpy, LDC); + + //re-store old Z + LAPACKE_dlacpy(CblasColMajor,PlasmaGeneral, N, NRHS, Zcpy, LDZ, Z, LDZ); + + + + //Calculate Cholesky Factorization (C=LL-1) + if (verbose == 1) + fprintf(stderr, "--Cholesky factorization of Sigma..."); + //printf ("N: %d\n",N); + + //int k=0; + // for (k=0;k log(square(|L|)) + if (verbose == 1) + fprintf(stderr, "Calculating the log determinant ..."); + + START_TIMING(logdet_calculate); + + for (i = 0; i < N; i++) + det = det * C[i * N + i]; + + logdet= det==0?0:2*log(det); + + STOP_TIMING(logdet_calculate); + + + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + if (verbose == 1) + printf("log-determinant=%f\n\n", logdet); + + + //Solving Linear System (L*X=Z)--->inv(L)*Z + if (verbose == 1) + fprintf(stderr, "Solving the linear system ...\n"); + + + START_TIMING(time_solve); + + //Compute triangular solve LC*X = Z + cblas_dtrsm(CblasColMajor,CblasLeft, CblasLower, CblasNoTrans, CblasNonUnit, N, NRHS, 1, C, LDC, Z, LDZ); //Sameh NRHS=1 Result is overwritten over Z + + STOP_TIMING(time_solve); + + flops = flops + FLOPS_DTRSM(PlasmaLeft,N, NRHS); + + if (verbose == 1) + fprintf(stderr, "Calculating the log likelihood ..."); + theta_hat = -0.5 * cblas_ddot(N, Z, 1, Z, 1) - 0.5 * logdet + - (double) (N / 2) * log(2 * PI); + + + + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + // Print Iteration Summary + printf("***************************************************\n"); + printf("logdet: %f, dotp: %f, expr2:%f\n",logdet,cblas_ddot(N, Z, 1, Z, 1), ((double) (N / 2) * log(2 * PI))); + printf(" ---- Facto Time: %6.2f\n", time_facto); + printf(" ---- logdet Time: %6.2f\n", logdet_calculate); + printf(" ---- dtrsm Time: %6.2f\n", time_solve); + printf(" ---- Total Time: %6.2f\n", time_facto + logdet_calculate + time_solve+time_gen); + printf(" ---- Gflop/s: %6.2f\n", flops / 1e9 / (time_facto + time_solve)); + printf("***************************************************\n"); + + + write_to_file("results.txt",N,64, (flops / 1e9 / (time_facto + time_solve)), (time_facto + logdet_calculate + time_solve+time_gen)); + + exit(0); + iter_count++; + return theta_hat; +} + +void LAPACKE_ML_finalize() { + + //writetofile("theta_hat.txt", iter, 1, theta_hat_plot, sizeof(theta) / sizeof(double)); + //writetofile("theta.txt", iter, 1, theta, sizeof(theta) / sizeof(double)); + free(C); + free(Z); + free(Zcpy); + if (check == 1) { + free(Ccpy); + + } +} + +/*------------------------------------------------------------------------ + * Check the factorization of the matrix A2 + */ +static int check_factorization(int N, double *A1, double *A2, int LDA, int uplo, + double eps) { + double Anorm, Rnorm; + double alpha; + int info_factorization; + int i, j; + + double *Residual = (double *) malloc(N * N * sizeof(double)); + double *L1 = (double *) malloc(N * N * sizeof(double)); + double *L2 = (double *) malloc(N * N * sizeof(double)); + double *work = (double *) malloc(N * sizeof(double)); + + memset((void*) L1, 0, N * N * sizeof(double)); + memset((void*) L2, 0, N * N * sizeof(double)); + + alpha = 1.0; + + LAPACKE_dlacpy_work(LAPACK_COL_MAJOR, ' ', N, N, A1, LDA, Residual, N); + + /* Dealing with L'L or U'U */ + if (uplo == PlasmaUpper) { + LAPACKE_dlacpy_work(LAPACK_COL_MAJOR, 'u', N, N, A2, LDA, L1, N); + LAPACKE_dlacpy_work(LAPACK_COL_MAJOR, 'u', N, N, A2, LDA, L2, N); + cblas_dtrmm(CblasColMajor, CblasLeft, CblasUpper, CblasTrans, CblasNonUnit, + N, N, (alpha), L1, N, L2, N); + } else { + LAPACKE_dlacpy_work(LAPACK_COL_MAJOR, 'l', N, N, A2, LDA, L1, N); + LAPACKE_dlacpy_work(LAPACK_COL_MAJOR, 'l', N, N, A2, LDA, L2, N); + cblas_dtrmm(CblasColMajor, CblasRight, CblasLower, CblasTrans, CblasNonUnit, + N, N, (alpha), L1, N, L2, N); + } + + /* Compute the Residual || A -L'L|| */ + for (i = 0; i < N; i++) + for (j = 0; j < N; j++) + Residual[j * N + i] = L2[j * N + i] - Residual[j * N + i]; + + BLAS_dge_norm(blas_colmajor, blas_inf_norm, N, N, Residual, N, &Rnorm); + BLAS_dge_norm(blas_colmajor, blas_inf_norm, N, N, A1, LDA, &Anorm); + + printf("========================================================\n"); + printf("Checking the Cholesky Factorization \n"); + printf("-- ||L'L-A||_oo/(||A||_oo.N.eps) = %e \n", Rnorm / (Anorm * N * eps)); + + if ( isnan(Rnorm / (Anorm * N * eps)) || isinf(Rnorm / (Anorm * N * eps)) + || (Rnorm / (Anorm * N * eps) > 60.0)) { + printf("-- Factorization is suspicious ! \n"); + info_factorization = 1; + } else { + printf("-- Factorization is CORRECT ! \n"); + info_factorization = 0; + } + + free(Residual); + free(L1); + free(L2); + free(work); + + return info_factorization; +} + +/*------------------------------------------------------------------------ + * Check the accuracy of the solution of the linear system + */ +/* + static int check_solution(int N, int NRHS, double *A1, int LDA, double *B1, + double *B2, int LDB, double eps) { + int info_solution; + double Rnorm, Anorm, Xnorm, Bnorm; + double alpha, beta; + double *work = (double *) malloc(N * sizeof(double)); + + eps = LAPACKE_dlamch_work('e'); + + alpha = 1.0; + beta = -1.0; + + Xnorm = LAPACKE_dlange_work(LAPACK_COL_MAJOR, lapack_const(PlasmaInfNorm), N, + NRHS, B2, LDB, work); + Anorm = LAPACKE_dlange_work(LAPACK_COL_MAJOR, lapack_const(PlasmaInfNorm), N, N, + A1, LDA, work); + Bnorm = LAPACKE_dlange_work(LAPACK_COL_MAJOR, lapack_const(PlasmaInfNorm), N, + NRHS, B1, LDB, work); + + cblas_dgemm(CblasColMajor, CblasNoTrans, CblasNoTrans, N, NRHS, N, (alpha), A1, + LDA, B2, LDB, (beta), B1, LDB); + Rnorm = LAPACKE_dlange_work(LAPACK_COL_MAJOR, lapack_const(PlasmaInfNorm), N, + NRHS, B1, LDB, work); + + printf("============\n"); + printf("Checking the Residual of the solution \n"); + printf("-- ||Ax-B||_oo/((||A||_oo||x||_oo+||B||_oo).N.eps) = %e \n", + Rnorm / ((Anorm * Xnorm + Bnorm) * N * eps)); + + if ( isnan(Rnorm / ((Anorm * Xnorm + Bnorm) * N * eps)) + || (Rnorm / ((Anorm * Xnorm + Bnorm) * N * eps) > 10.0)) { + printf("-- The solution is suspicious ! \n"); + info_solution = 1; + } else { + printf("-- The solution is CORRECT ! \n"); + info_solution = 0; + } + + free(work); + + return info_solution; + } + */ +//Sameh +/* Auxiliary routine: printing a matrix */ +/* + void print_matrix(char* desc, int m, int n, double* a, int lda) { + int i, j; + printf("\n %s\n", desc); + for (i = 0; i < m; i++) { + for (j = 0; j < n; j++) + printf(" %6.4f", a[j * lda + i]); + printf("\n"); + } + } + + void writetofile(char* fname, int m, int n, double* a, int lda) { + int i, j; + FILE *file = fopen(fname, "w"); + for (i = 0; i < m; i++) { + for (j = 0; j < n - 1; j++) + fprintf(file, "%6.2f,", a[j * lda + i]); + fprintf(file, "%6.2f", a[j * lda + i]); + fprintf(file, "\n"); + } + + fclose(file); + } + +*/ + +double uniform_distribution(double rangeLow, double rangeHigh) { + double myRand = (double) rand() / (double) (1.0 + RAND_MAX); + double range = rangeHigh - rangeLow; + double myRand_scaled = (myRand * range) + rangeLow; + return myRand_scaled; +} + +double CalculateDistance(double x1, double y1, double x2, double y2) { + return sqrt(pow((x1 - x2), 2) + pow((y1 - y2), 2)); + //return distance; +} + +int GenerateDistanceMatrix( int n) { + int r=0, l=0; + int index=0; + int sqrtn=sqrt(n); + double * Xt = (double *) calloc((size_t)sqrtn, sizeof(double)); + double * Yt = (double *) 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b/lapack_version/PLASMA_MLE.c new file mode 100755 index 0000000..f5ac854 --- /dev/null +++ b/lapack_version/PLASMA_MLE.c @@ -0,0 +1,733 @@ +/** + * + * @file testing_dposv.c + * + * PLASMA testing routines + * PLASMA is a software package provided by Univ. of Tennessee, + * Univ. of California Berkeley and Univ. of Colorado Denver + * + * @version 2.8.0 + * @author Bilel Hadri, Hatem Ltaief + * @date 2010-11-15 + * @generated d Fri Jan 22 15:11:13 2016 + * + **/ +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include "flops.h" + +//Sameh Testing MOde +#define MIN_RAND -0.4 +#define MAX_RAND 0.4 +#define R 2 +#define L 3 +#define THETA 0.1//weak=0.03, medium=0.1, strong=0.3 +#define USAGE(args, details) \ + printf(" Proper Usage is : ./main_genton "args" \n" \ + details); + +#define PI (3.141592653589793) + +#define START_TIMING(_t) \ + _t =- cWtime(); + +#define STOP_TIMING(_t) \ + _t += cWtime(); + +double cWtime(void) { + struct timeval tp; + gettimeofday(&tp, NULL); + return tp.tv_sec + 1e-6 * tp.tv_usec; +} + +enum blas_order_type { + blas_rowmajor = 101, blas_colmajor = 102 +}; + +enum blas_cmach_type { + blas_base = 151, + blas_t = 152, + blas_rnd = 153, + blas_ieee = 154, + blas_emin = 155, + blas_emax = 156, + blas_eps = 157, + blas_prec = 158, + blas_underflow = 159, + blas_overflow = 160, + blas_sfmin = 161 +}; + +enum blas_norm_type { + blas_one_norm = 171, + blas_real_one_norm = 172, + blas_two_norm = 173, + blas_frobenius_norm = 174, + blas_inf_norm = 175, + blas_real_inf_norm = 176, + blas_max_norm = 177, + blas_real_max_norm = 178 +}; + +static void BLAS_error(char *rname, int err, int val, int x) { + fprintf( stderr, "%s %d %d %d\n", rname, err, val, x); + abort(); +} + +static +void BLAS_dge_norm(enum blas_order_type order, enum blas_norm_type norm, int m, + int n, const double *a, int lda, double *res) { + int i, j; + float anorm, v; + char rname[] = "BLAS_dge_norm"; + + if (order != blas_colmajor) + BLAS_error(rname, -1, order, 0); + + if (norm == blas_frobenius_norm) { + anorm = 0.0f; + for (j = n; j; --j) { + for (i = m; i; --i) { + v = a[0]; + anorm += v * v; + a++; + } + a += lda - m; + } + anorm = sqrt(anorm); + } else if (norm == blas_inf_norm) { + anorm = 0.0f; + for (i = 0; i < m; ++i) { + v = 0.0f; + for (j = 0; j < n; ++j) { + v += fabs(a[i + j * lda]); + } + if (v > anorm) + anorm = v; + } + } else { + BLAS_error(rname, -2, norm, 0); + return; + } + + if (res) + *res = anorm; +} + +static +double BLAS_dpow_di(double x, int n) { + double rv = 1.0; + + if (n < 0) { + n = -n; + x = 1.0 / x; + } + + for (; n; n >>= 1, x *= x) { + if (n & 1) + rv *= x; + } + + return rv; +} + +static +double BLAS_dfpinfo(enum blas_cmach_type cmach) { + double eps = 1.0, r = 1.0, o = 1.0, b = 2.0; + int t = 53, l = 1024, m = -1021; + char rname[] = "BLAS_dfpinfo"; + + if ((sizeof eps) == sizeof(float)) { + t = 24; + l = 128; + m = -125; + } else { + t = 53; + l = 1024; + m = -1021; + } + + /* for (i = 0; i < t; ++i) eps *= half; */ + eps = BLAS_dpow_di(b, -t); + /* for (i = 0; i >= m; --i) r *= half; */ + r = BLAS_dpow_di(b, m - 1); + + o -= eps; + /* for (i = 0; i < l; ++i) o *= b; */ + o = (o * BLAS_dpow_di(b, l - 1)) * b; + + switch (cmach) { + case blas_eps: + return eps; + case blas_sfmin: + return r; + default: + BLAS_error(rname, -1, cmach, 0); + break; + } + return 0.0; +} + +static int check_factorization(int, double*, double*, int, int, double); +//static int check_solution(int, int, double*, int, double*, double*, int, double); + +static int GenerateDistanceMatrix(double* dist_matrix, int n); +static int GenerateCovMatrix(double* C, double * dist_matrix, int N, + double theta); +static double CalculateDistance(double x1, double y1, double x2, double y2); +static double uniform_distribution(double rangeLow, double rangeHigh); +//static void writetofile(char* fname, int m, int n, double* a, int lda); +//static void print_matrix(char* desc, int m, int n, double* a, int lda); + +int PLASMA_ML_GenerateZVec_tile(); +double PLASMA_MLE(double theta); +void PLASMA_ML_finalize(); + + +double * C ; +double * dist_matrix; +double * Z; +double * Zcpy; +double * Ccpy; +int N,NRHS,LDC,LDZ,check,verbose; +int iter_count=0; + + +int main(int argc, char **argv) { + + /* Check for number of arguments*/ + if (argc != 6) { + USAGE("NCORES N TS CHECK VERBOSE", + " - NCORES : number of cores\n" " - N : the size of the matrix\n" " - TS : tile size\n" //sameh + " - CHECK : check the factorization and the solution\n" " - VERBOSE : verbose\n"); + return -1; + } + + int ncores = atoi(argv[1]); + N = atoi(argv[2]); + int ts = atoi(argv[3]); + check = atoi(argv[4]); + verbose = atoi(argv[5]); + /*------------------------------------------------------------- + * Initialization of PLASMA + */ + PLASMA_Init(ncores); + PLASMA_Disable(PLASMA_AUTOTUNING); + PLASMA_Set(PLASMA_TILE_SIZE, ts); + PLASMA_Set(PLASMA_SCHEDULING_MODE, PLASMA_DYNAMIC_SCHEDULING); + PLASMA_Enable(PLASMA_WARNINGS); + PLASMA_Enable(PLASMA_ERRORS); + /*-------------------------------------------------------------*/ + + double time_opt=0.0; + double starting_theta=0.5; + double max_theta_hat=0.0; + NRHS = 1; + LDC = N; + LDZ = N; + + //Memory Allocation + C = (double *) malloc(LDC * N * sizeof(double)); + dist_matrix = (double *) malloc(LDC * N * sizeof(double)); + Z = (double *) malloc(LDZ * NRHS * sizeof(double)); + Zcpy = (double *) malloc(LDZ * NRHS * sizeof(double)); + + + if (check == 1) + Ccpy = (double *) malloc(LDC * N * sizeof(double)); + + /* Check if unable to allocate memory */ + if ((!C) || (!Z) || (!dist_matrix) || (!Zcpy)) { + printf("Out of Memory for C, dist_matrix, Zcpy and Z\n "); + return -2; + } + + if (check == 1 && (!Ccpy)) { + printf("Out of Memory for Ccpy\n "); + return -2; + } + + + + // Generate Observations Vector (Z) for testing phase + PLASMA_ML_GenerateZVec_tile(); + + + START_TIMING(time_opt); + //Maximum Likelihood (Optimization Phase using dlib library) + /*max_theta_hat=dlib::find_max_single_variable ( + PLASMA_MLE, + starting_theta, + 0.00001, //begin + 10, //end + 1e-5, //epsilon + 1000, //number of iterations + 1 + );*/ +PLASMA_MLE(0.09); + + +//PLASMA_MLE(0.9); + STOP_TIMING(time_opt); + + + + printf("No. of iteration to converage=%d\n",iter_count); + printf("Total Optimization Time= %6.2f\n",time_opt); + printf("Max Theta_hat: %6.2f\n",max_theta_hat); + + //Free Memory Allocation + PLASMA_ML_finalize(); + + return 0; +} + + + + + +//Generate Observations Vector (Z) for testing Maximum Likelihood function +int PLASMA_ML_GenerateZVec_tile() { + + //Initialization + double flops=0; + double eps; + int info_factorization; + + + eps = BLAS_dfpinfo(blas_eps); + + if (verbose == 1) + fprintf(stderr, "Initializing Distance Matrix ...\n"); + + + //Uniform random generation of distance matrix (For testing Phase) + GenerateDistanceMatrix(dist_matrix, N); + + if (verbose == 1) + fprintf(stderr, "Done ...\n"); + + if (verbose == 1) + fprintf(stderr, "Initializing Co-variance Matrix ...\n"); + //Generate co-variance matrix C + GenerateCovMatrix(C, dist_matrix, N, THETA); + + if (verbose == 1) + fprintf(stderr, "Done ...\n"); + + if (check == 1) + PLASMA_dlacpy(PlasmaUpperLower, N, N, C, LDC, Ccpy, LDC); + + //For Matlab Test + //writetofile("matrix.txt", N, N, C, N); //Sameh; + + if (verbose == 1) + fprintf(stderr, "Cholesky factorization of Sigma (Generation Phase) ...\n"); + + //Cholesky factorization + int success = PLASMA_dpotrf(PlasmaLower, N, C, LDC); + + if (success != PLASMA_SUCCESS) { + printf("Factorization cannot be performed..\n" + "The matrix is not positive definite\n\n"); + exit(0); + } + + + flops = flops + FLOPS_DPOTRF(N); + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + //**************************TESTING DPOTRF + if (check == 1) { + fprintf(stderr, "\n"); + fprintf(stderr, "\n"); + info_factorization = check_factorization(N, Ccpy, C, LDC, PlasmaLower, eps); + if (info_factorization == 0) { + printf("***************************************************\n"); + printf(" ---- TESTING DPOTRF (%s)............ PASSED !\n", "LOWER"); + printf("***************************************************\n"); + } + fprintf(stderr, "\n\n"); + } + //********************************************* + + if (verbose == 1) + fprintf(stderr, "Initialization of measurement vector ..."); + + + + //Generate Z Vector based on C + int * iseed = (int *) malloc(4 * sizeof(int)); + iseed[0] = 371; + iseed[1] = 371; + iseed[2] = 371; + iseed[3] = 371; + + //Uniform random generation of e -- ei~N(0,1) + LAPACKE_dlarnv(3, iseed, N, Z); + + //Calculate Z=V.e where C=VV-1 + cblas_dtrmv(CblasColMajor, CblasLower, CblasNoTrans, CblasNonUnit, N, C, + LDC, Z, 1); + + //Copy Z to Zcpy + PLASMA_dlacpy(PlasmaUpperLower, N, NRHS, Z, LDZ, Zcpy, LDZ); + + + if (verbose == 1) + fprintf(stderr, "Done Z Vector Generation Phase.\n"); + + + return 0; +} + +double PLASMA_MLE(double theta_val) { + + //Initialization + double theta_hat,det=1.0,logdet=0.0; + double eps; + int info_factorization; + int i=0; + double time_facto = 0.0, time_solve = 0.0, logdet_calculate = 0.0; + double flops = 0.0; + + eps = BLAS_dfpinfo(blas_eps); + + + //Generate new co-variance matrix C based on new theta + GenerateCovMatrix(C, dist_matrix, N, theta_val); + + + if (check == 1) + PLASMA_dlacpy(PlasmaUpperLower, N, N, C, LDC, Ccpy, LDC); + + //re-store old Z + PLASMA_dlacpy(PlasmaUpperLower, N, NRHS, Zcpy, LDZ, Z, LDZ); + + + + //Calculate Cholesky Factorization (C=LL-1) + if (verbose == 1) + fprintf(stderr, "Cholesky factorization of Sigma..."); + + START_TIMING(time_facto); + int success = PLASMA_dpotrf(PlasmaLower, N, C, LDC); + STOP_TIMING(time_facto); + + if (success != PLASMA_SUCCESS) { + printf("Factorization cannot be performed..\n" + "The matrix is not positive definite\n\n"); + + exit(0); + } + + + flops = flops + FLOPS_DPOTRF(N); + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + //**************************TESTING DPOTRF + if (check == 1) { + fprintf(stderr, "\n"); + fprintf(stderr, "\n"); + info_factorization = check_factorization(N, Ccpy, C, LDC, PlasmaLower, eps); + if (info_factorization == 0) { + printf("***************************************************\n"); + printf(" ---- TESTING DPOTRF (%s)............ PASSED !\n", "LOWER"); + printf("***************************************************\n"); + } + fprintf(stderr, "\n\n"); + } + ///*********************************************************** + + + //Calculate log(|C|) --> log(square(|L|)) + if (verbose == 1) + fprintf(stderr, "Calculating the log determinant ..."); + + START_TIMING(logdet_calculate); + + for (i = 0; i < N; i++) + det = det * C[i * N + i]; + + logdet= det==0? 0:log(det*det); + + + STOP_TIMING(logdet_calculate); + + + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + if (verbose == 1) + printf("log-determinant=%f\n\n", logdet); + + + //Solving Linear System (L*X=Z)--->inv(L)*Z + if (verbose == 1) + fprintf(stderr, "Solving the linear system ...\n"); + + + START_TIMING(time_solve); + + //Compute triangular solve LC*X = Z + PLASMA_dtrsm(PlasmaLeft, PlasmaLower, PlasmaNoTrans, PlasmaNonUnit, N, NRHS, 1, + C, LDC, Z, LDZ); //Sameh NRHS=1 Result is overwritten over Z + + STOP_TIMING(time_solve); + + flops = flops + FLOPS_DTRSM(PlasmaLeft,N, NRHS); + + if (verbose == 1) + fprintf(stderr, "Calculating the log likelihood ..."); + theta_hat = -0.5 * cblas_ddot(N, Z, 1, Z, 1) - 0.5 * logdet + - (double) (N / 2) * log(2 * PI); + + + + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + // Print Iteration Summary + printf("***************************************************\n"); + printf("logdet: %f, expr1: %f, expr2:%f\n",logdet,(-0.5 * cblas_ddot(N, Z, 1, Z, 1)), ((double) (N / 2) * log(2 * PI))); + printf(" ---- Theta: %2.6f ---- Theta_hat: %2.6f\n", theta_val, theta_hat); + printf(" ---- Facto Time: %6.2f\n", time_facto); + printf(" ---- logdet Time: %6.2f\n", logdet_calculate); + printf(" ---- dtrsm Time: %6.2f\n", time_solve); + printf(" ---- Total Time: %6.2f\n", time_facto + logdet_calculate + time_solve); + printf(" ---- Gflop/s: %6.2f\n", flops / 1e9 / (time_facto + logdet_calculate + time_solve)); + printf("***************************************************\n"); + + + iter_count++; + return theta_hat; +} + +void PLASMA_ML_finalize() { + + //writetofile("theta_hat.txt", iter, 1, theta_hat_plot, sizeof(theta) / sizeof(double)); + //writetofile("theta.txt", iter, 1, theta, sizeof(theta) / sizeof(double)); + free(C); + free(Z); + free(Zcpy); + if (check == 1) { + free(Ccpy); + + } +} + +/*------------------------------------------------------------------------ + * Check the factorization of the matrix A2 + */ +static int check_factorization(int N, double *A1, double *A2, int LDA, int uplo, + double eps) { + double Anorm, Rnorm; + double alpha; + int info_factorization; + int i, j; + + double *Residual = (double *) malloc(N * N * sizeof(double)); + double *L1 = (double *) malloc(N * N * sizeof(double)); + double *L2 = (double *) malloc(N * N * sizeof(double)); + double *work = (double *) malloc(N * sizeof(double)); + + memset((void*) L1, 0, N * N * sizeof(double)); + memset((void*) L2, 0, N * N * sizeof(double)); + + alpha = 1.0; + + LAPACKE_dlacpy_work(LAPACK_COL_MAJOR, ' ', N, N, A1, LDA, Residual, N); + + /* Dealing with L'L or U'U */ + if (uplo == PlasmaUpper) { + LAPACKE_dlacpy_work(LAPACK_COL_MAJOR, 'u', N, N, A2, LDA, L1, N); + LAPACKE_dlacpy_work(LAPACK_COL_MAJOR, 'u', N, N, A2, LDA, L2, N); + cblas_dtrmm(CblasColMajor, CblasLeft, CblasUpper, CblasTrans, CblasNonUnit, + N, N, (alpha), L1, N, L2, N); + } else { + LAPACKE_dlacpy_work(LAPACK_COL_MAJOR, 'l', N, N, A2, LDA, L1, N); + LAPACKE_dlacpy_work(LAPACK_COL_MAJOR, 'l', N, N, A2, LDA, L2, N); + cblas_dtrmm(CblasColMajor, CblasRight, CblasLower, CblasTrans, CblasNonUnit, + N, N, (alpha), L1, N, L2, N); + } + + /* Compute the Residual || A -L'L|| */ + for (i = 0; i < N; i++) + for (j = 0; j < N; j++) + Residual[j * N + i] = L2[j * N + i] - Residual[j * N + i]; + + BLAS_dge_norm(blas_colmajor, blas_inf_norm, N, N, Residual, N, &Rnorm); + BLAS_dge_norm(blas_colmajor, blas_inf_norm, N, N, A1, LDA, &Anorm); + + printf("========================================================\n"); + printf("Checking the Cholesky Factorization \n"); + printf("-- ||L'L-A||_oo/(||A||_oo.N.eps) = %e \n", Rnorm / (Anorm * N * eps)); + + if ( isnan(Rnorm / (Anorm * N * eps)) || isinf(Rnorm / (Anorm * N * eps)) + || (Rnorm / (Anorm * N * eps) > 60.0)) { + printf("-- Factorization is suspicious ! \n"); + info_factorization = 1; + } else { + printf("-- Factorization is CORRECT ! \n"); + info_factorization = 0; + } + + free(Residual); + free(L1); + free(L2); + free(work); + + return info_factorization; +} + +/*------------------------------------------------------------------------ + * Check the accuracy of the solution of the linear system + */ +/* +static int check_solution(int N, int NRHS, double *A1, int LDA, double *B1, + double *B2, int LDB, double eps) { + int info_solution; + double Rnorm, Anorm, Xnorm, Bnorm; + double alpha, beta; + double *work = (double *) malloc(N * sizeof(double)); + + eps = LAPACKE_dlamch_work('e'); + + alpha = 1.0; + beta = -1.0; + + Xnorm = LAPACKE_dlange_work(LAPACK_COL_MAJOR, lapack_const(PlasmaInfNorm), N, + NRHS, B2, LDB, work); + Anorm = LAPACKE_dlange_work(LAPACK_COL_MAJOR, lapack_const(PlasmaInfNorm), N, N, + A1, LDA, work); + Bnorm = LAPACKE_dlange_work(LAPACK_COL_MAJOR, lapack_const(PlasmaInfNorm), N, + NRHS, B1, LDB, work); + + cblas_dgemm(CblasColMajor, CblasNoTrans, CblasNoTrans, N, NRHS, N, (alpha), A1, + LDA, B2, LDB, (beta), B1, LDB); + Rnorm = LAPACKE_dlange_work(LAPACK_COL_MAJOR, lapack_const(PlasmaInfNorm), N, + NRHS, B1, LDB, work); + + printf("============\n"); + printf("Checking the Residual of the solution \n"); + printf("-- ||Ax-B||_oo/((||A||_oo||x||_oo+||B||_oo).N.eps) = %e \n", + Rnorm / ((Anorm * Xnorm + Bnorm) * N * eps)); + + if ( isnan(Rnorm / ((Anorm * Xnorm + Bnorm) * N * eps)) + || (Rnorm / ((Anorm * Xnorm + Bnorm) * N * eps) > 10.0)) { + printf("-- The solution is suspicious ! \n"); + info_solution = 1; + } else { + printf("-- The solution is CORRECT ! \n"); + info_solution = 0; + } + + free(work); + + return info_solution; +} +*/ +//Sameh +/* Auxiliary routine: printing a matrix */ +/* +void print_matrix(char* desc, int m, int n, double* a, int lda) { + int i, j; + printf("\n %s\n", desc); + for (i = 0; i < m; i++) { + for (j = 0; j < n; j++) + printf(" %6.4f", a[j * lda + i]); + printf("\n"); + } +} + +void writetofile(char* fname, int m, int n, double* a, int lda) { + int i, j; + FILE *file = fopen(fname, "w"); + for (i = 0; i < m; i++) { + for (j = 0; j < n - 1; j++) + fprintf(file, "%6.2f,", a[j * lda + i]); + fprintf(file, "%6.2f", a[j * lda + i]); + fprintf(file, "\n"); + } + + fclose(file); +} + +*/ + +double uniform_distribution(double rangeLow, double rangeHigh) { + double myRand = (double) rand() / (double) (1.0 + RAND_MAX); + double range = rangeHigh - rangeLow; + double myRand_scaled = (myRand * range) + rangeLow; + return myRand_scaled; +} + +double CalculateDistance(double x1, double y1, double x2, double y2) { + double distance = sqrt(pow((x1 - x2), 2) + pow((y1 - y2), 2)); + return distance; +} + +int GenerateDistanceMatrix(double* dist_matrix, int n) { + + + + double * X = (double *) malloc(n * sizeof(double)); + double * Y = (double *) malloc(n * sizeof(double)); + + + int i, j; + + for (i = 0; i < n; i++) { + X[i] = (R - 0.5 + uniform_distribution(MIN_RAND, MAX_RAND)) + * sqrt((double) n); + Y[i] = (L - 0.5 + uniform_distribution(MIN_RAND, MAX_RAND)) + * sqrt((double) n); + } + + + printf("n=%d\n",n); + + for (i = 0; i < n; i++) { + + dist_matrix[i * n + i] = 1; //theta_1=1 + for (j = i + 1; j < n; j++) { + double dist = CalculateDistance(X[i], Y[i], X[j], Y[j]); + dist_matrix[i * n + j] = dist; + dist_matrix[j * n + i] = dist; + + } + } + + return 1; +} + +int GenerateCovMatrix(double* C, double* dist_matrix, int N, double theta) { + int i; + for (i = 0; i < N * N; i++) { + + C[i] = exp(-dist_matrix[i] / theta); + + } + + for (i = 0; i < N; i++) { + C[i * N + i] = 1; //theta_1=1 + } + + return 1; +} + diff --git a/lapack_version/flops.h b/lapack_version/flops.h new file mode 100755 index 0000000..48584b8 --- /dev/null +++ b/lapack_version/flops.h @@ -0,0 +1,352 @@ +/** + * + * @file flops.h + * + * File provided by Univ. of Tennessee, + * + * @version 1.0.0 + * @author Mathieu Faverge + * @date 2010-12-20 + * + **/ +/* + * This file provide the flops formula for all Level 3 BLAS and some + * Lapack routines. Each macro uses the same size parameters as the + * function associated and provide one formula for additions and one + * for multiplications. Example to use these macros: + * + * FLOPS_ZGEMM( m, n, k ) + * + * All the formula are reported in the LAPACK Lawn 41: + * http://www.netlib.org/lapack/lawns/lawn41.ps + */ +#ifndef _FLOPS_H_ +#define _FLOPS_H_ + +/************************************************************************ + * Generic formula coming from LAWN 41 + ***********************************************************************/ + +/* + * Level 2 BLAS + */ +#define FMULS_GEMV(__m, __n) ((double)(__m) * (double)(__n) + 2. * (double)(__m)) +#define FADDS_GEMV(__m, __n) ((double)(__m) * (double)(__n) ) + +#define FMULS_SYMV(__n) FMULS_GEMV( (__n), (__n) ) +#define FADDS_SYMV(__n) FADDS_GEMV( (__n), (__n) ) +#define FMULS_HEMV FMULS_SYMV +#define FADDS_HEMV FADDS_SYMV + +/* + * Level 3 BLAS + */ +#define FMULS_GEMM(__m, __n, __k) ((double)(__m) * (double)(__n) * (double)(__k)) +#define FADDS_GEMM(__m, __n, __k) ((double)(__m) * (double)(__n) * (double)(__k)) + +#define FMULS_SYMM(__side, __m, __n) ( ( (__side) == PlasmaLeft ) ? FMULS_GEMM((__m), (__m), (__n)) : FMULS_GEMM((__m), (__n), (__n)) ) +#define FADDS_SYMM(__side, __m, __n) ( ( (__side) == PlasmaLeft ) ? FADDS_GEMM((__m), (__m), (__n)) : FADDS_GEMM((__m), (__n), (__n)) ) +#define FMULS_HEMM FMULS_SYMM +#define FADDS_HEMM FADDS_SYMM + +#define FMULS_SYRK(__k, __n) (0.5 * (double)(__k) * (double)(__n) * ((double)(__n)+1.)) +#define FADDS_SYRK(__k, __n) (0.5 * (double)(__k) * (double)(__n) * ((double)(__n)+1.)) +#define FMULS_HERK FMULS_SYRK +#define FADDS_HERK FADDS_SYRK + +#define FMULS_SYR2K(__n, __k) ((double)(__k) * (double)(__n) * (double)(__n) ) +#define FADDS_SYR2K(__n, __k) ((double)(__k) * (double)(__n) * (double)(__n) + (double)(__n)) +#define FMULS_HER2K FMULS_SYR2K +#define FADDS_HER2K FADDS_SYR2K + +#define FMULS_TRMM_2(__m, __n) (0.5 * (double)(__n) * (double)(__m) * ((double)(__m)+1.)) +#define FADDS_TRMM_2(__m, __n) (0.5 * (double)(__n) * (double)(__m) * ((double)(__m)-1.)) + + +#define FMULS_TRMM(__side, __m, __n) ( ( (__side) == PlasmaLeft ) ? FMULS_TRMM_2((__m), (__n)) : FMULS_TRMM_2((__n), (__m)) ) +#define FADDS_TRMM(__side, __m, __n) ( ( (__side) == PlasmaLeft ) ? FADDS_TRMM_2((__m), (__n)) : FADDS_TRMM_2((__n), (__m)) ) + +#define FMULS_TRSM FMULS_TRMM +#define FADDS_TRSM FMULS_TRMM + +/* + * Lapack + */ +#define FMULS_GETRF(__m, __n) ( ((__m) < (__n)) ? (0.5 * (double)(__m) * ((double)(__m) * ((double)(__n) - (1./3.) * (__m) - 1. ) + (double)(__n)) + (2. / 3.) * (__m)) \ + : (0.5 * (double)(__n) * ((double)(__n) * ((double)(__m) - (1./3.) * (__n) - 1. ) + (double)(__m)) + (2. / 3.) * (__n)) ) +#define FADDS_GETRF(__m, __n) ( ((__m) < (__n)) ? (0.5 * (double)(__m) * ((double)(__m) * ((double)(__n) - (1./3.) * (__m) ) - (double)(__n)) + (1. / 6.) * (__m)) \ + : (0.5 * (double)(__n) * ((double)(__n) * ((double)(__m) - (1./3.) * (__n) ) - (double)(__m)) + (1. / 6.) * (__n)) ) + +#define FMULS_GETRI(__n) ( (double)(__n) * ((5. / 6.) + (double)(__n) * ((2. / 3.) * (double)(__n) + 0.5)) ) +#define FADDS_GETRI(__n) ( (double)(__n) * ((5. / 6.) + (double)(__n) * ((2. / 3.) * (double)(__n) - 1.5)) ) + +#define FMULS_GETRS(__n, __nrhs) ((double)(__nrhs) * (double)(__n) * (double)(__n) ) +#define FADDS_GETRS(__n, __nrhs) ((double)(__nrhs) * (double)(__n) * ((double)(__n) - 1. )) + +#define FMULS_POTRF(__n) ((double)(__n) * (((1. / 6.) * (double)(__n) + 0.5) * (double)(__n) + (1. / 3.))) +#define FADDS_POTRF(__n) ((double)(__n) * (((1. / 6.) * (double)(__n) ) * (double)(__n) - (1. / 6.))) + +#define FMULS_POTRI(__n) ( (double)(__n) * ((2. / 3.) + (double)(__n) * ((1. / 3.) * (double)(__n) + 1. )) ) +#define FADDS_POTRI(__n) ( (double)(__n) * ((1. / 6.) + (double)(__n) * ((1. / 3.) * (double)(__n) - 0.5)) ) + +#define FMULS_POTRS(__n, __nrhs) ((double)(__nrhs) * (double)(__n) * ((double)(__n) + 1. )) +#define FADDS_POTRS(__n, __nrhs) ((double)(__nrhs) * (double)(__n) * ((double)(__n) - 1. )) + +//SPBTRF +//SPBTRS +//SSYTRF +//SSYTRI +//SSYTRS + +#define FMULS_GEQRF(__m, __n) (((__m) > (__n)) ? ((double)(__n) * ((double)(__n) * ( 0.5-(1./3.) * (double)(__n) + (double)(__m)) + (double)(__m) + 23. / 6.)) \ + : ((double)(__m) * ((double)(__m) * ( -0.5-(1./3.) * (double)(__m) + (double)(__n)) + 2.*(double)(__n) + 23. / 6.)) ) +#define FADDS_GEQRF(__m, __n) (((__m) > (__n)) ? ((double)(__n) * ((double)(__n) * ( 0.5-(1./3.) * (double)(__n) + (double)(__m)) + 5. / 6.)) \ + : ((double)(__m) * ((double)(__m) * ( -0.5-(1./3.) * (double)(__m) + (double)(__n)) + (double)(__n) + 5. / 6.)) ) + +#define FMULS_GEQLF(__m, __n) FMULS_GEQRF(__m, __n) +#define FADDS_GEQLF(__m, __n) FADDS_GEQRF(__m, __n) + +#define FMULS_GERQF(__m, __n) (((__m) > (__n)) ? ((double)(__n) * ((double)(__n) * ( 0.5-(1./3.) * (double)(__n) + (double)(__m)) + (double)(__m) + 29. / 6.)) \ + : ((double)(__m) * ((double)(__m) * ( -0.5-(1./3.) * (double)(__m) + (double)(__n)) + 2.*(double)(__n) + 29. / 6.)) ) +#define FADDS_GERQF(__m, __n) (((__m) > (__n)) ? ((double)(__n) * ((double)(__n) * ( -0.5-(1./3.) * (double)(__n) + (double)(__m)) + (double)(__m) + 5. / 6.)) \ + : ((double)(__m) * ((double)(__m) * ( 0.5-(1./3.) * (double)(__m) + (double)(__n)) + + 5. / 6.)) ) + +#define FMULS_GELQF(__m, __n) FMULS_GERQF(__m, __n) +#define FADDS_GELQF(__m, __n) FADDS_GERQF(__m, __n) + +#define FMULS_UNGQR(__m, __n, __k) ((double)(__k) * (2.* (double)(__m) * (double)(__n) + 2. * (double)(__n) - 5./3. + (double)(__k) * ( 2./3. * (double)(__k) - ((double)(__m) + (double)(__n)) - 1.))) +#define FADDS_UNGQR(__m, __n, __k) ((double)(__k) * (2.* (double)(__m) * (double)(__n) + (double)(__n) - (double)(__m) + 1./3. + (double)(__k) * ( 2./3. * (double)(__k) - ((double)(__m) + (double)(__n)) ))) +#define FMULS_UNGQL FMULS_UNGQR +#define FMULS_ORGQR FMULS_UNGQR +#define FMULS_ORGQL FMULS_UNGQR +#define FADDS_UNGQL FADDS_UNGQR +#define FADDS_ORGQR FADDS_UNGQR +#define FADDS_ORGQL FADDS_UNGQR + +#define FMULS_UNGRQ(__m, __n, __k) ((double)(__k) * (2.* (double)(__m) * (double)(__n) + (double)(__m) + (double)(__n) - 2./3. + (double)(__k) * ( 2./3. * (double)(__k) - ((double)(__m) + (double)(__n)) - 1.))) +#define FADDS_UNGRQ(__m, __n, __k) ((double)(__k) * (2.* (double)(__m) * (double)(__n) + (double)(__m) - (double)(__n) + 1./3. + (double)(__k) * ( 2./3. * (double)(__k) - ((double)(__m) + (double)(__n)) ))) +#define FMULS_UNGLQ FMULS_UNGRQ +#define FMULS_ORGRQ FMULS_UNGRQ +#define FMULS_ORGLQ FMULS_UNGRQ +#define FADDS_UNGLQ FADDS_UNGRQ +#define FADDS_ORGRQ FADDS_UNGRQ +#define FADDS_ORGLQ FADDS_UNGRQ + +#define FMULS_GEQRS(__m, __n, __nrhs) ((double)(__nrhs) * ((double)(__n) * ( 2.* (double)(__m) - 0.5 * (double)(__n) + 2.5))) +#define FADDS_GEQRS(__m, __n, __nrhs) ((double)(__nrhs) * ((double)(__n) * ( 2.* (double)(__m) - 0.5 * (double)(__n) + 0.5))) + +//UNMQR, UNMLQ, UNMQL, UNMRQ (Left) +//UNMQR, UNMLQ, UNMQL, UNMRQ (Right) + +#define FMULS_TRTRI(__n) ((double)(__n) * ((double)(__n) * ( 1./6. * (double)(__n) + 0.5 ) + 1./3.)) +#define FADDS_TRTRI(__n) ((double)(__n) * ((double)(__n) * ( 1./6. * (double)(__n) - 0.5 ) + 1./3.)) + +#define FMULS_GEHRD(__n) ( (double)(__n) * ((double)(__n) * (5./3. *(double)(__n) + 0.5) - 7./6.) - 13. ) +#define FADDS_GEHRD(__n) ( (double)(__n) * ((double)(__n) * (5./3. *(double)(__n) - 1. ) - 2./3.) - 8. ) + +#define FMULS_SYTRD(__n) ( (double)(__n) * ( (double)(__n) * ( 2./3. * (double)(__n) + 2.5 ) - 1./6. ) - 15.) +#define FADDS_SYTRD(__n) ( (double)(__n) * ( (double)(__n) * ( 2./3. * (double)(__n) + 1. ) - 8./3. ) - 4.) +#define FMULS_HETRD FMULS_SYTRD +#define FADDS_HETRD FADDS_SYTRD + +#define FMULS_GEBRD(__m, __n) ( ((__m) >= (__n)) ? ((double)(__n) * ((double)(__n) * (2. * (double)(__m) - 2./3. * (double)(__n) + 2. ) + 20./3.)) \ + : ((double)(__m) * ((double)(__m) * (2. * (double)(__n) - 2./3. * (double)(__m) + 2. ) + 20./3.)) ) +#define FADDS_GEBRD(__m, __n) ( ((__m) >= (__n)) ? ((double)(__n) * ((double)(__n) * (2. * (double)(__m) - 2./3. * (double)(__n) + 1. ) - (double)(__m) + 5./3.)) \ + : ((double)(__m) * ((double)(__m) * (2. * (double)(__n) - 2./3. * (double)(__m) + 1. ) - (double)(__n) + 5./3.)) ) + + +/******************************************************************************* + * Users functions + ******************************************************************************/ + +/* + * Level 2 BLAS + */ +#define FLOPS_ZGEMV(__m, __n) (6. * FMULS_GEMV((__m), (__n)) + 2.0 * FADDS_GEMV((__m), (__n)) ) +#define FLOPS_CGEMV(__m, __n) (6. * FMULS_GEMV((__m), (__n)) + 2.0 * FADDS_GEMV((__m), (__n)) ) +#define FLOPS_DGEMV(__m, __n) ( FMULS_GEMV((__m), (__n)) + FADDS_GEMV((__m), (__n)) ) +#define FLOPS_SGEMV(__m, __n) ( FMULS_GEMV((__m), (__n)) + FADDS_GEMV((__m), (__n)) ) + +#define FLOPS_ZHEMV(__n) (6. * FMULS_HEMV((__n)) + 2.0 * FADDS_HEMV((__n)) ) +#define FLOPS_CHEMV(__n) (6. * FMULS_HEMV((__n)) + 2.0 * FADDS_HEMV((__n)) ) + +#define FLOPS_ZSYMV(__n) (6. * FMULS_SYMV((__n)) + 2.0 * FADDS_SYMV((__n)) ) +#define FLOPS_CSYMV(__n) (6. * FMULS_SYMV((__n)) + 2.0 * FADDS_SYMV((__n)) ) +#define FLOPS_DSYMV(__n) ( FMULS_SYMV((__n)) + FADDS_SYMV((__n)) ) +#define FLOPS_SSYMV(__n) ( FMULS_SYMV((__n)) + FADDS_SYMV((__n)) ) + +/* + * Level 3 BLAS + */ +#define FLOPS_ZGEMM(__m, __n, __k) (6. * FMULS_GEMM((__m), (__n), (__k)) + 2.0 * FADDS_GEMM((__m), (__n), (__k)) ) +#define FLOPS_CGEMM(__m, __n, __k) (6. * FMULS_GEMM((__m), (__n), (__k)) + 2.0 * FADDS_GEMM((__m), (__n), (__k)) ) +#define FLOPS_DGEMM(__m, __n, __k) ( FMULS_GEMM((__m), (__n), (__k)) + FADDS_GEMM((__m), (__n), (__k)) ) +#define FLOPS_SGEMM(__m, __n, __k) ( FMULS_GEMM((__m), (__n), (__k)) + FADDS_GEMM((__m), (__n), (__k)) ) + +#define FLOPS_ZHEMM(__side, __m, __n) (6. * FMULS_HEMM(__side, (__m), (__n)) + 2.0 * FADDS_HEMM(__side, (__m), (__n)) ) +#define FLOPS_CHEMM(__side, __m, __n) (6. * FMULS_HEMM(__side, (__m), (__n)) + 2.0 * FADDS_HEMM(__side, (__m), (__n)) ) + +#define FLOPS_ZSYMM(__side, __m, __n) (6. * FMULS_SYMM(__side, (__m), (__n)) + 2.0 * FADDS_SYMM(__side, (__m), (__n)) ) +#define FLOPS_CSYMM(__side, __m, __n) (6. * FMULS_SYMM(__side, (__m), (__n)) + 2.0 * FADDS_SYMM(__side, (__m), (__n)) ) +#define FLOPS_DSYMM(__side, __m, __n) ( FMULS_SYMM(__side, (__m), (__n)) + FADDS_SYMM(__side, (__m), (__n)) ) +#define FLOPS_SSYMM(__side, __m, __n) ( FMULS_SYMM(__side, (__m), (__n)) + FADDS_SYMM(__side, (__m), (__n)) ) + +#define FLOPS_ZHERK(__k, __n) (6. * FMULS_HERK((__k), (__n)) + 2.0 * FADDS_HERK((__k), (__n)) ) +#define FLOPS_CHERK(__k, __n) (6. * FMULS_HERK((__k), (__n)) + 2.0 * FADDS_HERK((__k), (__n)) ) + +#define FLOPS_ZSYRK(__k, __n) (6. * FMULS_SYRK((__k), (__n)) + 2.0 * FADDS_SYRK((__k), (__n)) ) +#define FLOPS_CSYRK(__k, __n) (6. * FMULS_SYRK((__k), (__n)) + 2.0 * FADDS_SYRK((__k), (__n)) ) +#define FLOPS_DSYRK(__k, __n) ( FMULS_SYRK((__k), (__n)) + FADDS_SYRK((__k), (__n)) ) +#define FLOPS_SSYRK(__k, __n) ( FMULS_SYRK((__k), (__n)) + FADDS_SYRK((__k), (__n)) ) + +#define FLOPS_ZHER2K(__k, __n) (6. * FMULS_HER2K((__k), (__n)) + 2.0 * FADDS_HER2K((__k), (__n)) ) +#define FLOPS_CHER2K(__k, __n) (6. * FMULS_HER2K((__k), (__n)) + 2.0 * FADDS_HER2K((__k), (__n)) ) + +#define FLOPS_ZSYR2K(__n, __k) (6. * FMULS_SYR2K((__n), (__k)) + 2.0 * FADDS_SYR2K((__n), (__k)) ) +#define FLOPS_CSYR2K(__n, __k) (6. * FMULS_SYR2K((__n), (__k)) + 2.0 * FADDS_SYR2K((__n), (__k)) ) +#define FLOPS_DSYR2K(__n, __k) ( FMULS_SYR2K((__n), (__k)) + FADDS_SYR2K((__n), (__k)) ) +#define FLOPS_SSYR2K(__n, __k) ( FMULS_SYR2K((__n), (__k)) + FADDS_SYR2K((__n), (__k)) ) + +#define FLOPS_ZTRMM(__side, __m, __n) (6. * FMULS_TRMM(__side, (__m), (__n)) + 2.0 * FADDS_TRMM(__side, (__m), (__n)) ) +#define FLOPS_CTRMM(__side, __m, __n) (6. * FMULS_TRMM(__side, (__m), (__n)) + 2.0 * FADDS_TRMM(__side, (__m), (__n)) ) +#define FLOPS_DTRMM(__side, __m, __n) ( FMULS_TRMM(__side, (__m), (__n)) + FADDS_TRMM(__side, (__m), (__n)) ) +#define FLOPS_STRMM(__side, __m, __n) ( FMULS_TRMM(__side, (__m), (__n)) + FADDS_TRMM(__side, (__m), (__n)) ) + +#define FLOPS_ZTRSM(__side, __m, __n) (6. * FMULS_TRSM(__side, (__m), (__n)) + 2.0 * FADDS_TRSM(__side, (__m), (__n)) ) +#define FLOPS_CTRSM(__side, __m, __n) (6. * FMULS_TRSM(__side, (__m), (__n)) + 2.0 * FADDS_TRSM(__side, (__m), (__n)) ) +#define FLOPS_DTRSM(__side, __m, __n) ( FMULS_TRSM(__side, (__m), (__n)) + FADDS_TRSM(__side, (__m), (__n)) ) +#define FLOPS_STRSM(__side, __m, __n) ( FMULS_TRSM(__side, (__m), (__n)) + FADDS_TRSM(__side, (__m), (__n)) ) + +/* + * Lapack + */ +#define FLOPS_ZGETRF(__m, __n) (6. * FMULS_GETRF((__m), (__n)) + 2.0 * FADDS_GETRF((__m), (__n)) ) +#define FLOPS_CGETRF(__m, __n) (6. * FMULS_GETRF((__m), (__n)) + 2.0 * FADDS_GETRF((__m), (__n)) ) +#define FLOPS_DGETRF(__m, __n) ( FMULS_GETRF((__m), (__n)) + FADDS_GETRF((__m), (__n)) ) +#define FLOPS_SGETRF(__m, __n) ( FMULS_GETRF((__m), (__n)) + FADDS_GETRF((__m), (__n)) ) + +#define FLOPS_ZGETRI(__n) (6. * FMULS_GETRI((__n)) + 2.0 * FADDS_GETRI((__n)) ) +#define FLOPS_CGETRI(__n) (6. * FMULS_GETRI((__n)) + 2.0 * FADDS_GETRI((__n)) ) +#define FLOPS_DGETRI(__n) ( FMULS_GETRI((__n)) + FADDS_GETRI((__n)) ) +#define FLOPS_SGETRI(__n) ( FMULS_GETRI((__n)) + FADDS_GETRI((__n)) ) + +#define FLOPS_ZGETRS(__n, __nrhs) (6. * FMULS_GETRS((__n), (__nrhs)) + 2.0 * FADDS_GETRS((__n), (__nrhs)) ) +#define FLOPS_CGETRS(__n, __nrhs) (6. * FMULS_GETRS((__n), (__nrhs)) + 2.0 * FADDS_GETRS((__n), (__nrhs)) ) +#define FLOPS_DGETRS(__n, __nrhs) ( FMULS_GETRS((__n), (__nrhs)) + FADDS_GETRS((__n), (__nrhs)) ) +#define FLOPS_SGETRS(__n, __nrhs) ( FMULS_GETRS((__n), (__nrhs)) + FADDS_GETRS((__n), (__nrhs)) ) + +#define FLOPS_ZPOTRF(__n) (6. * FMULS_POTRF((__n)) + 2.0 * FADDS_POTRF((__n)) ) +#define FLOPS_CPOTRF(__n) (6. * FMULS_POTRF((__n)) + 2.0 * FADDS_POTRF((__n)) ) +#define FLOPS_DPOTRF(__n) ( FMULS_POTRF((__n)) + FADDS_POTRF((__n)) ) +#define FLOPS_SPOTRF(__n) ( FMULS_POTRF((__n)) + FADDS_POTRF((__n)) ) + +#define FLOPS_ZPOTRI(__n) (6. * FMULS_POTRI((__n)) + 2.0 * FADDS_POTRI((__n)) ) +#define FLOPS_CPOTRI(__n) (6. * FMULS_POTRI((__n)) + 2.0 * FADDS_POTRI((__n)) ) +#define FLOPS_DPOTRI(__n) ( FMULS_POTRI((__n)) + FADDS_POTRI((__n)) ) +#define FLOPS_SPOTRI(__n) ( FMULS_POTRI((__n)) + FADDS_POTRI((__n)) ) + +#define FLOPS_ZPOTRS(__n, __nrhs) (6. * FMULS_POTRS((__n), (__nrhs)) + 2.0 * FADDS_POTRS((__n), (__nrhs)) ) +#define FLOPS_CPOTRS(__n, __nrhs) (6. * FMULS_POTRS((__n), (__nrhs)) + 2.0 * FADDS_POTRS((__n), (__nrhs)) ) +#define FLOPS_DPOTRS(__n, __nrhs) ( FMULS_POTRS((__n), (__nrhs)) + FADDS_POTRS((__n), (__nrhs)) ) +#define FLOPS_SPOTRS(__n, __nrhs) ( FMULS_POTRS((__n), (__nrhs)) + FADDS_POTRS((__n), (__nrhs)) ) + +#define FLOPS_ZGEQRF(__m, __n) (6. * FMULS_GEQRF((__m), (__n)) + 2.0 * FADDS_GEQRF((__m), (__n)) ) +#define FLOPS_CGEQRF(__m, __n) (6. * FMULS_GEQRF((__m), (__n)) + 2.0 * FADDS_GEQRF((__m), (__n)) ) +#define FLOPS_DGEQRF(__m, __n) ( FMULS_GEQRF((__m), (__n)) + FADDS_GEQRF((__m), (__n)) ) +#define FLOPS_SGEQRF(__m, __n) ( FMULS_GEQRF((__m), (__n)) + FADDS_GEQRF((__m), (__n)) ) + +#define FLOPS_ZGEQLF(__m, __n) (6. * FMULS_GEQLF((__m), (__n)) + 2.0 * FADDS_GEQLF((__m), (__n)) ) +#define FLOPS_CGEQLF(__m, __n) (6. * FMULS_GEQLF((__m), (__n)) + 2.0 * FADDS_GEQLF((__m), (__n)) ) +#define FLOPS_DGEQLF(__m, __n) ( FMULS_GEQLF((__m), (__n)) + FADDS_GEQLF((__m), (__n)) ) +#define FLOPS_SGEQLF(__m, __n) ( FMULS_GEQLF((__m), (__n)) + FADDS_GEQLF((__m), (__n)) ) + +#define FLOPS_ZGERQF(__m, __n) (6. * FMULS_GERQF((__m), (__n)) + 2.0 * FADDS_GERQF((__m), (__n)) ) +#define FLOPS_CGERQF(__m, __n) (6. * FMULS_GERQF((__m), (__n)) + 2.0 * FADDS_GERQF((__m), (__n)) ) +#define FLOPS_DGERQF(__m, __n) ( FMULS_GERQF((__m), (__n)) + FADDS_GERQF((__m), (__n)) ) +#define FLOPS_SGERQF(__m, __n) ( FMULS_GERQF((__m), (__n)) + FADDS_GERQF((__m), (__n)) ) + +#define FLOPS_ZGELQF(__m, __n) (6. * FMULS_GELQF((__m), (__n)) + 2.0 * FADDS_GELQF((__m), (__n)) ) +#define FLOPS_CGELQF(__m, __n) (6. * FMULS_GELQF((__m), (__n)) + 2.0 * FADDS_GELQF((__m), (__n)) ) +#define FLOPS_DGELQF(__m, __n) ( FMULS_GELQF((__m), (__n)) + FADDS_GELQF((__m), (__n)) ) +#define FLOPS_SGELQF(__m, __n) ( FMULS_GELQF((__m), (__n)) + FADDS_GELQF((__m), (__n)) ) + +#define FLOPS_ZUNGQR(__m, __n, __k) (6. * FMULS_UNGQR((__m), (__n), (__k)) + 2.0 * FADDS_UNGQR((__m), (__n), (__k)) ) +#define FLOPS_CUNGQR(__m, __n, __k) (6. * FMULS_UNGQR((__m), (__n), (__k)) + 2.0 * FADDS_UNGQR((__m), (__n), (__k)) ) +#define FLOPS_DUNGQR(__m, __n, __k) ( FMULS_UNGQR((__m), (__n), (__k)) + FADDS_UNGQR((__m), (__n), (__k)) ) +#define FLOPS_SUNGQR(__m, __n, __k) ( FMULS_UNGQR((__m), (__n), (__k)) + FADDS_UNGQR((__m), (__n), (__k)) ) + +#define FLOPS_ZUNGQL(__m, __n, __k) (6. * FMULS_UNGQL((__m), (__n), (__k)) + 2.0 * FADDS_UNGQL((__m), (__n), (__k)) ) +#define FLOPS_CUNGQL(__m, __n, __k) (6. * FMULS_UNGQL((__m), (__n), (__k)) + 2.0 * FADDS_UNGQL((__m), (__n), (__k)) ) +#define FLOPS_DUNGQL(__m, __n, __k) ( FMULS_UNGQL((__m), (__n), (__k)) + FADDS_UNGQL((__m), (__n), (__k)) ) +#define FLOPS_SUNGQL(__m, __n, __k) ( FMULS_UNGQL((__m), (__n), (__k)) + FADDS_UNGQL((__m), (__n), (__k)) ) + +#define FLOPS_ZORGQR(__m, __n, __k) (6. * FMULS_ORGQR((__m), (__n), (__k)) + 2.0 * FADDS_ORGQR((__m), (__n), (__k)) ) +#define FLOPS_CORGQR(__m, __n, __k) (6. * FMULS_ORGQR((__m), (__n), (__k)) + 2.0 * FADDS_ORGQR((__m), (__n), (__k)) ) +#define FLOPS_DORGQR(__m, __n, __k) ( FMULS_ORGQR((__m), (__n), (__k)) + FADDS_ORGQR((__m), (__n), (__k)) ) +#define FLOPS_SORGQR(__m, __n, __k) ( FMULS_ORGQR((__m), (__n), (__k)) + FADDS_ORGQR((__m), (__n), (__k)) ) + +#define FLOPS_ZORGQL(__m, __n, __k) (6. * FMULS_ORGQL((__m), (__n), (__k)) + 2.0 * FADDS_ORGQL((__m), (__n), (__k)) ) +#define FLOPS_CORGQL(__m, __n, __k) (6. * FMULS_ORGQL((__m), (__n), (__k)) + 2.0 * FADDS_ORGQL((__m), (__n), (__k)) ) +#define FLOPS_DORGQL(__m, __n, __k) ( FMULS_ORGQL((__m), (__n), (__k)) + FADDS_ORGQL((__m), (__n), (__k)) ) +#define FLOPS_SORGQL(__m, __n, __k) ( FMULS_ORGQL((__m), (__n), (__k)) + FADDS_ORGQL((__m), (__n), (__k)) ) + +#define FLOPS_ZUNGRQ(__m, __n, __k) (6. * FMULS_UNGRQ((__m), (__n), (__k)) + 2.0 * FADDS_UNGRQ((__m), (__n), (__k)) ) +#define FLOPS_CUNGRQ(__m, __n, __k) (6. * FMULS_UNGRQ((__m), (__n), (__k)) + 2.0 * FADDS_UNGRQ((__m), (__n), (__k)) ) +#define FLOPS_DUNGRQ(__m, __n, __k) ( FMULS_UNGRQ((__m), (__n), (__k)) + FADDS_UNGRQ((__m), (__n), (__k)) ) +#define FLOPS_SUNGRQ(__m, __n, __k) ( FMULS_UNGRQ((__m), (__n), (__k)) + FADDS_UNGRQ((__m), (__n), (__k)) ) + +#define FLOPS_ZUNGLQ(__m, __n, __k) (6. * FMULS_UNGLQ((__m), (__n), (__k)) + 2.0 * FADDS_UNGLQ((__m), (__n), (__k)) ) +#define FLOPS_CUNGLQ(__m, __n, __k) (6. * FMULS_UNGLQ((__m), (__n), (__k)) + 2.0 * FADDS_UNGLQ((__m), (__n), (__k)) ) +#define FLOPS_DUNGLQ(__m, __n, __k) ( FMULS_UNGLQ((__m), (__n), (__k)) + FADDS_UNGLQ((__m), (__n), (__k)) ) +#define FLOPS_SUNGLQ(__m, __n, __k) ( FMULS_UNGLQ((__m), (__n), (__k)) + FADDS_UNGLQ((__m), (__n), (__k)) ) + +#define FLOPS_ZORGRQ(__m, __n, __k) (6. * FMULS_ORGRQ((__m), (__n), (__k)) + 2.0 * FADDS_ORGRQ((__m), (__n), (__k)) ) +#define FLOPS_CORGRQ(__m, __n, __k) (6. * FMULS_ORGRQ((__m), (__n), (__k)) + 2.0 * FADDS_ORGRQ((__m), (__n), (__k)) ) +#define FLOPS_DORGRQ(__m, __n, __k) ( FMULS_ORGRQ((__m), (__n), (__k)) + FADDS_ORGRQ((__m), (__n), (__k)) ) +#define FLOPS_SORGRQ(__m, __n, __k) ( FMULS_ORGRQ((__m), (__n), (__k)) + FADDS_ORGRQ((__m), (__n), (__k)) ) + +#define FLOPS_ZORGLQ(__m, __n, __k) (6. * FMULS_ORGLQ((__m), (__n), (__k)) + 2.0 * FADDS_ORGLQ((__m), (__n), (__k)) ) +#define FLOPS_CORGLQ(__m, __n, __k) (6. * FMULS_ORGLQ((__m), (__n), (__k)) + 2.0 * FADDS_ORGLQ((__m), (__n), (__k)) ) +#define FLOPS_DORGLQ(__m, __n, __k) ( FMULS_ORGLQ((__m), (__n), (__k)) + FADDS_ORGLQ((__m), (__n), (__k)) ) +#define FLOPS_SORGLQ(__m, __n, __k) ( FMULS_ORGLQ((__m), (__n), (__k)) + FADDS_ORGLQ((__m), (__n), (__k)) ) + +#define FLOPS_ZGEQRS(__m, __n, __nrhs) (6. * FMULS_GEQRS((__m), (__n), (__nrhs)) + 2.0 * FADDS_GEQRS((__m), (__n), (__nrhs)) ) +#define FLOPS_CGEQRS(__m, __n, __nrhs) (6. * FMULS_GEQRS((__m), (__n), (__nrhs)) + 2.0 * FADDS_GEQRS((__m), (__n), (__nrhs)) ) +#define FLOPS_DGEQRS(__m, __n, __nrhs) ( FMULS_GEQRS((__m), (__n), (__nrhs)) + FADDS_GEQRS((__m), (__n), (__nrhs)) ) +#define FLOPS_SGEQRS(__m, __n, __nrhs) ( FMULS_GEQRS((__m), (__n), (__nrhs)) + FADDS_GEQRS((__m), (__n), (__nrhs)) ) + +#define FLOPS_ZTRTRI(__n) (6. * FMULS_TRTRI((__n)) + 2.0 * FADDS_TRTRI((__n)) ) +#define FLOPS_CTRTRI(__n) (6. * FMULS_TRTRI((__n)) + 2.0 * FADDS_TRTRI((__n)) ) +#define FLOPS_DTRTRI(__n) ( FMULS_TRTRI((__n)) + FADDS_TRTRI((__n)) ) +#define FLOPS_STRTRI(__n) ( FMULS_TRTRI((__n)) + FADDS_TRTRI((__n)) ) + +#define FLOPS_ZGEHRD(__n) (6. * FMULS_GEHRD((__n)) + 2.0 * FADDS_GEHRD((__n)) ) +#define FLOPS_CGEHRD(__n) (6. * FMULS_GEHRD((__n)) + 2.0 * FADDS_GEHRD((__n)) ) +#define FLOPS_DGEHRD(__n) ( FMULS_GEHRD((__n)) + FADDS_GEHRD((__n)) ) +#define FLOPS_SGEHRD(__n) ( FMULS_GEHRD((__n)) + FADDS_GEHRD((__n)) ) + +#define FLOPS_ZHETRD(__n) (6. * FMULS_HETRD((__n)) + 2.0 * FADDS_HETRD((__n)) ) +#define FLOPS_CHETRD(__n) (6. * FMULS_HETRD((__n)) + 2.0 * FADDS_HETRD((__n)) ) + +#define FLOPS_ZSYTRD(__n) (6. * FMULS_SYTRD((__n)) + 2.0 * FADDS_SYTRD((__n)) ) +#define FLOPS_CSYTRD(__n) (6. * FMULS_SYTRD((__n)) + 2.0 * FADDS_SYTRD((__n)) ) +#define FLOPS_DSYTRD(__n) ( FMULS_SYTRD((__n)) + FADDS_SYTRD((__n)) ) +#define FLOPS_SSYTRD(__n) ( FMULS_SYTRD((__n)) + FADDS_SYTRD((__n)) ) + +#define FLOPS_ZGEBRD(__m, __n) (6. * FMULS_GEBRD((__m), (__n)) + 2.0 * FADDS_GEBRD((__m), (__n)) ) +#define FLOPS_CGEBRD(__m, __n) (6. * FMULS_GEBRD((__m), (__n)) + 2.0 * FADDS_GEBRD((__m), (__n)) ) +#define FLOPS_DGEBRD(__m, __n) ( FMULS_GEBRD((__m), (__n)) + FADDS_GEBRD((__m), (__n)) ) +#define FLOPS_SGEBRD(__m, __n) ( FMULS_GEBRD((__m), (__n)) + FADDS_GEBRD((__m), (__n)) ) + +#ifdef USE_MATCOV_TILED +#define FLOPS_DCovMat(__m, __n, _l, _type_mat) ( (_type_mat) == 1 ? ((30. + (_l) * 115) * ( (double)(__m) * ((double)(__m) + 1.) / 2.0)) : ( ( _type_mat) == 3 ? ((30. + (_l) * 103) * (double)(__m) * (double)(__n) ) : ((30. + (_l) * 90) * (double)(__m) * (double)(__n) ) ) ) +#else +#define FLOPS_DCovMat(__m, __n) ( 2.0 * (double)(__m) * (double)(__n) ) +#endif + +#ifdef USE_INTERSAMPLE + #define FLOPS_Intersample(__m, __n) ( (double)(__m) * (double)(__n) * 20) + //TODO generate a correct formula +#endif + +#endif /* _FLOPS_H_ */ diff --git a/lapack_version/test.c b/lapack_version/test.c new file mode 100755 index 0000000..1c36064 --- /dev/null +++ b/lapack_version/test.c @@ -0,0 +1,44 @@ +#include +#include +#include +#include +#include "time.h" +using namespace std; + +int main () +{ + +clock_t begin = clock(); + int n=400000, m=1000; + double x=0,y=0; + double s=0; + vector< double > shifts(n,0); + + + #pragma omp parallel for + for (int j=0; j +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include "flops.h" + +//Sameh Testing MOde +#define MIN_RAND -0.4 +#define MAX_RAND 0.4 +#define R 2 +#define L 3 +#define THETA 0.1//weak=0.03, medium=0.1, strong=0.3 +#define USAGE(args, details) \ + printf(" Proper Usage is : ./main_genton "args" \n" \ + details); + +#define PI (3.141592653589793) + +#define START_TIMING(_t) \ + _t =- cWtime(); + +#define STOP_TIMING(_t) \ + _t += cWtime(); + +double cWtime(void) { + struct timeval tp; + gettimeofday(&tp, NULL); + return tp.tv_sec + 1e-6 * tp.tv_usec; +} + +enum blas_order_type { + blas_rowmajor = 101, blas_colmajor = 102 +}; + +enum blas_cmach_type { + blas_base = 151, + blas_t = 152, + blas_rnd = 153, + blas_ieee = 154, + blas_emin = 155, + blas_emax = 156, + blas_eps = 157, + blas_prec = 158, + blas_underflow = 159, + blas_overflow = 160, + blas_sfmin = 161 +}; + +enum blas_norm_type { + blas_one_norm = 171, + blas_real_one_norm = 172, + blas_two_norm = 173, + blas_frobenius_norm = 174, + blas_inf_norm = 175, + blas_real_inf_norm = 176, + blas_max_norm = 177, + blas_real_max_norm = 178 +}; + +static void BLAS_error(char *rname, int err, int val, int x) { + fprintf( stderr, "%s %d %d %d\n", rname, err, val, x); + abort(); +} + +static +void BLAS_dge_norm(enum blas_order_type order, enum blas_norm_type norm, int m, + int n, const double *a, int lda, double *res) { + int i, j; + float anorm, v; + char rname[] = "BLAS_dge_norm"; + + if (order != blas_colmajor) + BLAS_error(rname, -1, order, 0); + + if (norm == blas_frobenius_norm) { + anorm = 0.0f; + for (j = n; j; --j) { + for (i = m; i; --i) { + v = a[0]; + anorm += v * v; + a++; + } + a += lda - m; + } + anorm = sqrt(anorm); + } else if (norm == blas_inf_norm) { + anorm = 0.0f; + for (i = 0; i < m; ++i) { + v = 0.0f; + for (j = 0; j < n; ++j) { + v += fabs(a[i + j * lda]); + } + if (v > anorm) + anorm = v; + } + } else { + BLAS_error(rname, -2, norm, 0); + return; + } + + if (res) + *res = anorm; +} + +static +double BLAS_dpow_di(double x, int n) { + double rv = 1.0; + + if (n < 0) { + n = -n; + x = 1.0 / x; + } + + for (; n; n >>= 1, x *= x) { + if (n & 1) + rv *= x; + } + + return rv; +} + +static +double BLAS_dfpinfo(enum blas_cmach_type cmach) { + double eps = 1.0, r = 1.0, o = 1.0, b = 2.0; + int t = 53, l = 1024, m = -1021; + char rname[] = "BLAS_dfpinfo"; + + if ((sizeof eps) == sizeof(float)) { + t = 24; + l = 128; + m = -125; + } else { + t = 53; + l = 1024; + m = -1021; + } + + /* for (i = 0; i < t; ++i) eps *= half; */ + eps = BLAS_dpow_di(b, -t); + /* for (i = 0; i >= m; --i) r *= half; */ + r = BLAS_dpow_di(b, m - 1); + + o -= eps; + /* for (i = 0; i < l; ++i) o *= b; */ + o = (o * BLAS_dpow_di(b, l - 1)) * b; + + switch (cmach) { + case blas_eps: + return eps; + case blas_sfmin: + return r; + default: + BLAS_error(rname, -1, cmach, 0); + break; + } + return 0.0; +} + +static int check_factorization(int, double*, double*, int, int, double); +static int check_solution(int, int, double*, int, double*, double*, int, double); + +static int GenerateDistanceMatrix(double* dist_matrix, int n); +static int GenerateCovMatrix(double* C, double * dist_matrix, int N, + double theta); +static int GenerateZVec(double* C, int N, double* Z, int LDC); +static double CalculateDistance(double x1, double y1, double x2, double y2); +static double uniform_distribution(double rangeLow, double rangeHigh); +static void writetofile(char* fname, int m, int n, double* a, int lda); +static void print_matrix(char* desc, int m, int n, double* a, int lda); +double PLAMSA_Likelihood(int N, int ts, int check,int verbose); +void PLASMA_GenerateZVec(int N , int ts, int Check,int verbose); +static void init(int N,int ts,int check,int verbose); + +int main(int argc, char **argv) { + + /* Check for number of arguments*/ + if (argc != 6) { + USAGE("NCORES N TS CHECK VERBOSE", + " - NCORES : number of cores\n" " - N : the size of the matrix\n" " - TS : tile size\n" //sameh + " - CHECK : check the factorization and the solution\n" " - VERBOSE : verbose\n"); + return -1; + } + + int ncores = atoi(argv[1]); + int N = atoi(argv[2]); + int ts = atoi(argv[3]); + int check = atoi(argv[4]); + int verbose = atoi(argv[5]); + + + init(N,ts,check,verbose); + + + + + + double find_max_single_variable ( + const funct& f, + double& starting_point, + const double begin = -1e200, + const double end = 1e200, + const double eps = 1e-3, + const long max_iter = 100, + const double initial_search_radius = 1 + ) + +} + +void init(int N,int ts,double *C, double * dist_matrix, double *Z, double * Zcpy, double *Ccpy, int check, int verbose) +{ + int NRHS = 1; + int LDC = N; + int LDZ = N; + + /*------------------------------------------------------------- + * Initialization of PLASMA + */ + PLASMA_Init(ncores); + PLASMA_Disable(PLASMA_AUTOTUNING); + PLASMA_Set(PLASMA_TILE_SIZE, ts); + PLASMA_Set(PLASMA_SCHEDULING_MODE, PLASMA_DYNAMIC_SCHEDULING); + PLASMA_Enable(PLASMA_WARNINGS); + PLASMA_Enable(PLASMA_ERRORS); + + /*-------------------------------------------------------------*/ + + //Allocate memory + *C = (double *) malloc(LDC * N * sizeof(double)); + *dist_matrix = (double *) malloc(LDC * N * sizeof(double)); + *Z = (double *) malloc(LDZ * NRHS * sizeof(double)); + + *Zcpy = (double *) malloc(LDZ * NRHS * sizeof(double)); + + if (check == 1) + Ccpy = (double *) malloc(LDC * N * sizeof(double)); + + /* Check if unable to allocate memory */ + if ((!C) || (!Z) || (!dist_matrix) || (!Zcpy)) { + printf("Out of Memory for C, dist_matrix, Zcpy and Z\n "); + return -2; + } + + if (check == 1 && (!Ccpy)) { + printf("Out of Memory for Ccpy\n "); + return -2; + + } + +return 0; +} + + + + +void PLASMA_GenerateZVec(int N, int ts, int check,int verbose) +{ + double eps; + double theta_hat; + int info_factorization; + int i; + double time_facto = 0.0, time_solve = 0.0, logdet_calculate = 0.0; + double flops = 0.0; + + + eps = BLAS_dfpinfo(blas_eps); + + if (verbose == 1) + fprintf(stderr, "Initializing Distance Matrix ...\n"); + + //Uniform random generation of distance matrix + GenerateDistanceMatrix(dist_matrix, N); + + if (verbose == 1) + fprintf(stderr, "Done ...\n"); + + if (verbose == 1) + fprintf(stderr, "Initializing Co-variance Matrix ...\n"); + //Generate co-variance matrix C + GenerateCovMatrix(C, dist_matrix, N, THETA); + + if (verbose == 1) + fprintf(stderr, "Done ...\n"); + + if (check == 1) + PLASMA_dlacpy(PlasmaUpperLower, N, N, C, LDC, Ccpy, LDC); + + //For Matlab Test + //writetofile("matrix.txt", N, N, C, N); //Sameh; + + + +//to be removed + //print_matrix("Matrix C", N, N, C, N); + + + + + if (verbose == 1) + fprintf(stderr, + "Cholesky factorization of Sigma (Generation Phase) ...\n"); + + //Cholesky factorization + int success = PLASMA_dpotrf(PlasmaLower, N, C, LDC); + + if (success != PLASMA_SUCCESS) { + printf("Factorization cannot be performed..\n" + "The matrix is not positive definite\n\n"); + exit(0); + } + + //**************************TESTING DPOTRF + flops = flops + FLOPS_DPOTRF(N); + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + if (check == 1) { + fprintf(stderr, "\n"); + fprintf(stderr, "\n"); + info_factorization = check_factorization(N, Ccpy, C, LDC, PlasmaLower, + eps); + if (info_factorization == 0) { + printf("***************************************************\n"); + printf(" ---- TESTING DPOTRF (%s)............ PASSED !\n", "LOWER"); + printf("***************************************************\n"); + } + fprintf(stderr, "\n\n"); + } + //********************************************* + + if (verbose == 1) + fprintf(stderr, "Initialization of measurement vector ..."); + + +//to be removed +print_matrix("C after cholesky:\n", N, N, C, N); + + + +//Generate Z Vector + GenerateZVec(C, N, Z, LDC); + +//for matlab test + //writetofile("z.txt", N, 1, Z, N); //Sameh(); + + PLASMA_dlacpy(PlasmaUpperLower, N, NRHS, Z, LDZ, Zcpy, LDZ); + + if (verbose == 1) + fprintf(stderr, " Done Generation Phase.\n"); +} + +//to be removed +//print_matrix("Z Vector", N, 1, Z, N); + + +//exit(0); + +// PLASMA Routines + + + +double PLASMA_Likelihood() +{ + int iter; + + int range = 30; + + double * theta = (double *) malloc(range * sizeof(double)); + + double value = 0.0; + i = 0; + for (value = 0.0; value < 0.3; value += 0.01) { + theta[i++] = value; + } + + double * theta_hat_plot = (double *) malloc(range * sizeof(double)); + + + + + + + + + for (iter = 0; iter < range; iter++) { + + //Initialization + + //Generate co-variance matrix C + GenerateCovMatrix(C, dist_matrix, N, theta[iter]); + + //For Matlab Test + //writetofile("matrix.txt", N, N, C, N); //Sameh; + + if (check == 1) + PLASMA_dlacpy(PlasmaUpperLower, N, N, C, LDC, Ccpy, LDC); + + //re-store old Z + PLASMA_dlacpy(PlasmaUpperLower, N, NRHS, Zcpy, LDZ, Z, LDZ); + + //print_matrix("Test2", N, 1, Z, N); + + if (verbose == 1) + fprintf(stderr, "Cholesky factorization of Sigma..."); + + //print_matrix("Segma Matrix(2)", N, N, C, N); + + START_TIMING(time_facto); + int success = PLASMA_dpotrf(PlasmaLower, N, C, LDC); + STOP_TIMING(time_facto); + + if (success != PLASMA_SUCCESS) { + printf("Factorization cannot be performed..\n" + "The matrix is not positive definite\n\n"); + + exit(0); + } + + //**************************TESTING DPOTRF + flops = flops + FLOPS_DPOTRF(N); + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + if (check == 1) { + fprintf(stderr, "\n"); + fprintf(stderr, "\n"); + info_factorization = check_factorization(N, Ccpy, C, LDC, + PlasmaLower, eps); + if (info_factorization == 0) { + printf("***************************************************\n"); + printf(" ---- TESTING DPOTRF (%s)............ PASSED !\n", + "LOWER"); + printf("***************************************************\n"); + } + fprintf(stderr, "\n\n"); + } + ///*********************************************************** + + + +//print_matrix ("Test",N,N,C,N); + + if (verbose == 1) + fprintf(stderr, "Calculating the log determinant ..."); + + START_TIMING(logdet_calculate); + double det = C[0]; + for (i = 1; i < N; i++) + det = det * C[i * N + i]; + + double logdet = 2 * log(det); + STOP_TIMING(logdet_calculate); + + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + if (verbose == 1) + fprintf(stderr, "Solving the linear system ...\n"); + + if (verbose == 1) + printf("log-determinant=%f\n\n", logdet); //Sameh + + START_TIMING(time_solve); + //Compute triangular solve C*X = Z + PLASMA_dtrsm(PlasmaLeft, PlasmaLower, PlasmaNoTrans, PlasmaNonUnit, N, + NRHS, 1, C, LDC, Z, LDZ); //Sameh NRHS=1 Result is overwritten over Z + STOP_TIMING(time_solve); + + flops = flops + FLOPS_DPOTRS(N, NRHS); + + /* + * int info_solution; + if (verbose == 1) + fprintf(stderr, " Done.\n"); + if (check == 1) { + fprintf(stderr, "\n"); + fprintf(stderr, "\n"); + info_solution = check_solution(N, NRHS, Ccpy, LDC, Zcpy, Z, LDZ, eps); + if (info_solution == 0) { + printf("***************************************************\n"); + printf(" ---- TESTING dtrsm (%s)............ PASSED !\n", "LOWER"); + printf("***************************************************\n"); + } + fprintf(stderr, "\n"); + fprintf(stderr, "\n"); + } + */ + + // print_matrix("Test", N, 1, Z, N); + if (verbose == 1) + fprintf(stderr, "Calculating the log likelihood ..."); + theta_hat = -0.5 * cblas_ddot(N, Z, 1, Z, 1) - 0.5 * logdet + - (double) (N / 2) * log(2 * PI); + + //Plotting + theta_hat_plot[iter] = theta_hat; + + //printf("theta_hat=%f.....", theta_hat); + //printf("logdet=%f.....", -0.5 * logdet); + //printf("expr1=%f.....", -0.5 * cblas_ddot(N, Z, 1, Z, 1)); + + //printf("expr2=%f\n\n", -((double) N / 2 * log(2 * PI))); + printf("\n{-0.5 * cblas_ddot(N, Z, 1, Z, 1)}=%f.....", -0.5 * cblas_ddot(N, Z, 1, Z, 1)); + + printf("{-((double) N / 2 * log(2 * PI))}=%f\n\n", -((double) N / 2 * log(2 * PI))); + + //New************************** + + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + //printf("***************************************************\n"); + //printf(" ---- Number of cores: %d\n", ncores); + //printf(" ---- Number of locations: %d\n", N); + printf(" ---- Theta: %2.6f ---- Theta_hat: %2.6f\n", theta[iter], + theta_hat); + printf(" ---- Facto Time: %6.2f\n", time_facto); + printf(" ---- logdet Time: %6.2f\n", logdet_calculate); + printf(" ---- dtrsm Time: %6.2f\n", time_solve); + printf(" ---- Total Time: %6.2f\n", + time_facto + logdet_calculate + time_solve); + //printf(" ---- Gflop/s: %6.2f\n", flops / 1e9 / (time_facto + logdet_calculate+time_solve)); + printf("***************************************************\n"); + + } //end loop + + writetofile("theta_hat.txt", iter, 1, theta_hat_plot, + sizeof(theta) / sizeof(double)); + writetofile("theta.txt", iter, 1, theta, sizeof(theta) / sizeof(double)); + + free(C); + free(Z); + if (check == 1) { + free(Ccpy); + free(Zcpy); + } + + return 0; +} + +/*------------------------------------------------------------------------ + * Check the factorization of the matrix A2 + */ +static int check_factorization(int N, double *A1, double *A2, int LDA, int uplo, + double eps) { + double Anorm, Rnorm; + double alpha; + int info_factorization; + int i, j; + + double *Residual = (double *) malloc(N * N * sizeof(double)); + double *L1 = (double *) malloc(N * N * sizeof(double)); + double *L2 = (double *) malloc(N * N * sizeof(double)); + double *work = (double *) malloc(N * sizeof(double)); + + memset((void*) L1, 0, N * N * sizeof(double)); + memset((void*) L2, 0, N * N * sizeof(double)); + + alpha = 1.0; + + LAPACKE_dlacpy_work(LAPACK_COL_MAJOR, ' ', N, N, A1, LDA, Residual, N); + + /* Dealing with L'L or U'U */ + if (uplo == PlasmaUpper) { + LAPACKE_dlacpy_work(LAPACK_COL_MAJOR, 'u', N, N, A2, LDA, L1, N); + LAPACKE_dlacpy_work(LAPACK_COL_MAJOR, 'u', N, N, A2, LDA, L2, N); + cblas_dtrmm(CblasColMajor, CblasLeft, CblasUpper, CblasTrans, + CblasNonUnit, N, N, (alpha), L1, N, L2, N); + } else { + LAPACKE_dlacpy_work(LAPACK_COL_MAJOR, 'l', N, N, A2, LDA, L1, N); + LAPACKE_dlacpy_work(LAPACK_COL_MAJOR, 'l', N, N, A2, LDA, L2, N); + cblas_dtrmm(CblasColMajor, CblasRight, CblasLower, CblasTrans, + CblasNonUnit, N, N, (alpha), L1, N, L2, N); + } + + /* Compute the Residual || A -L'L|| */ + for (i = 0; i < N; i++) + for (j = 0; j < N; j++) + Residual[j * N + i] = L2[j * N + i] - Residual[j * N + i]; + + BLAS_dge_norm(blas_colmajor, blas_inf_norm, N, N, Residual, N, &Rnorm); + BLAS_dge_norm(blas_colmajor, blas_inf_norm, N, N, A1, LDA, &Anorm); + + printf("========================================================\n"); + printf("Checking the Cholesky Factorization \n"); + printf("-- ||L'L-A||_oo/(||A||_oo.N.eps) = %e \n", + Rnorm / (Anorm * N * eps)); + + if ( isnan(Rnorm / (Anorm * N * eps)) || isinf(Rnorm / (Anorm * N * eps)) + || (Rnorm / (Anorm * N * eps) > 60.0)) { + printf("-- Factorization is suspicious ! \n"); + info_factorization = 1; + } else { + printf("-- Factorization is CORRECT ! \n"); + info_factorization = 0; + } + + free(Residual); + free(L1); + free(L2); + free(work); + + return info_factorization; +} + +/*------------------------------------------------------------------------ + * Check the accuracy of the solution of the linear system + */ + +static int check_solution(int N, int NRHS, double *A1, int LDA, double *B1, + double *B2, int LDB, double eps) { + int info_solution; + double Rnorm, Anorm, Xnorm, Bnorm; + double alpha, beta; + double *work = (double *) malloc(N * sizeof(double)); + + eps = LAPACKE_dlamch_work('e'); + + alpha = 1.0; + beta = -1.0; + + Xnorm = LAPACKE_dlange_work(LAPACK_COL_MAJOR, lapack_const(PlasmaInfNorm), + N, NRHS, B2, LDB, work); + Anorm = LAPACKE_dlange_work(LAPACK_COL_MAJOR, lapack_const(PlasmaInfNorm), + N, N, A1, LDA, work); + Bnorm = LAPACKE_dlange_work(LAPACK_COL_MAJOR, lapack_const(PlasmaInfNorm), + N, NRHS, B1, LDB, work); + + cblas_dgemm(CblasColMajor, CblasNoTrans, CblasNoTrans, N, NRHS, N, (alpha), + A1, LDA, B2, LDB, (beta), B1, LDB); + Rnorm = LAPACKE_dlange_work(LAPACK_COL_MAJOR, lapack_const(PlasmaInfNorm), + N, NRHS, B1, LDB, work); + + printf("============\n"); + printf("Checking the Residual of the solution \n"); + printf("-- ||Ax-B||_oo/((||A||_oo||x||_oo+||B||_oo).N.eps) = %e \n", + Rnorm / ((Anorm * Xnorm + Bnorm) * N * eps)); + + if ( isnan(Rnorm / ((Anorm * Xnorm + Bnorm) * N * eps)) + || (Rnorm / ((Anorm * Xnorm + Bnorm) * N * eps) > 10.0)) { + printf("-- The solution is suspicious ! \n"); + info_solution = 1; + } else { + printf("-- The solution is CORRECT ! \n"); + info_solution = 0; + } + + free(work); + + return info_solution; +} + +//Sameh +/* Auxiliary routine: printing a matrix */ + +void print_matrix(char* desc, int m, int n, double* a, int lda) { + int i, j; + printf("\n %s\n", desc); + for (i = 0; i < m; i++) { + for (j = 0; j < n; j++) + printf(" %6.4f", a[j * lda + i]); + printf("\n"); + } +} + +void writetofile(char* fname, int m, int n, double* a, int lda) { + +// if (n == 1) { + // printf(" %6.2f\n\n", a[2]); + // exit(0); + //} + int i, j; + FILE *file = fopen(fname, "w"); + for (i = 0; i < m; i++) { + for (j = 0; j < n - 1; j++) + fprintf(file, "%6.2f,", a[j * lda + i]); + fprintf(file, "%6.2f", a[j * lda + i]); + fprintf(file, "\n"); + } + + fclose(file); +} + +double uniform_distribution(double rangeLow, double rangeHigh) { + double myRand = (double) rand() / (double) (1.0 + RAND_MAX); + double range = rangeHigh - rangeLow; + double myRand_scaled = (myRand * range) + rangeLow; + return myRand_scaled; +} + +double CalculateDistance(double x1, double y1, double x2, double y2) { + double distance = sqrt(pow((x1 - x2), 2) + pow((y1 - y2), 2)); + return distance; +} + +int GenerateDistanceMatrix(double* dist_matrix, int n) { + + double * X = (double *) malloc(n * sizeof(double)); + double * Y = (double *) malloc(n * sizeof(double)); + + int i, j; + + for (i = 0; i < n; i++) { + X[i] = (R - 0.5 + uniform_distribution(MIN_RAND, MAX_RAND)) + * sqrt((double) n); + Y[i] = (L - 0.5 + uniform_distribution(MIN_RAND, MAX_RAND)) + * sqrt((double) n); + } + + for (i = 0; i < n; i++) { + dist_matrix[i * n + i] = 1; //theta_1=1 + for (j = i + 1; j < n; j++) { + double dist = CalculateDistance(X[i], Y[i], X[j], Y[j]); + dist_matrix[i * n + j] = dist; + dist_matrix[j * n + i] = dist; + + } + } + + //print_matrix("Distance Matrix", n, n, dist_matrix, n); + + return 1; +} + +int GenerateCovMatrix(double* C, double* dist_matrix, int N, double theta) { + + //printf("Theta=%f\n", theta); + + int i; + for (i = 0; i < N * N; i++) { + + C[i] = exp(-dist_matrix[i] / theta); + + } + + for (i = 0; i < N; i++) { + C[i * N + i] = 1; //theta_1=1 + } + + //print_matrix("Segma Matrix", N, N, C, N); + //exit(0); + + return 1; +} + +int GenerateZVec(double* C, int N, double* Z, int LDC) { + + int * iseed = (int *) malloc(4 * sizeof(int)); + iseed[0] = 371; + iseed[1] = 371; + iseed[2] = 371; + iseed[3] = 371; + + //print_matrix("Z Vector", N, 1, Z, N); + + //Uniform random generation of e -- ei~N(0,1) + LAPACKE_dlarnv(3, iseed, N, Z); + + print_matrix("Z (old) Vector", N, 1, Z, N); + + //Calculate Z=V.e + cblas_dtrmv(CblasColMajor, CblasLower, CblasNoTrans, CblasNonUnit, N, C, + LDC, Z, 1); + + print_matrix("Z Vector", N, 1, Z, N); +exit(0); +//multiple triangular matrix with vector + return 1; +} diff --git a/misc/compute/MLE_misc.c b/misc/compute/MLE_misc.c index d3b19e4..5b3bde1 100644 --- a/misc/compute/MLE_misc.c +++ b/misc/compute/MLE_misc.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,233 +11,288 @@ * * Auxiliary functions that are needed by ExaGeoStat. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2020-06-06 + * @date 2022-11-09 * **/ #include "../include/MLE_misc.h" +#include <../src/include/MLE.h> //*************************************************************************************** void init_data_values(MLE_data *data) - //! initiate data struct with default values - /*! - * @param[in] data: MLE_data struct with different MLE inputs. - * */ +//! initiate data struct with default values +/*! + * @param[in] data: MLE_data struct with different MLE inputs. + * */ { - data->variance = 1.0; ///< Variance parameter. - data->computation = "exact"; ///< exact or approx computation. - data->c_fun = "matern"; ///< exact or approx computation. - data->test = 0; ///< test or real-data computation. - data->iter_count = 0; ///< number of iterations to converge. - data->l1.x = NULL; ///< 2D locations for the first dataset (X vector). - data->l1.y = NULL; //< 2D locations for the first dataset (Y vector). - data->l1.z = NULL; //< 3D locations for the first dataset (Y vector) - data->lmiss.x = NULL; ///< 2D locations for the missing data (X vector) (prediction stage). - data->lmiss.y = NULL; ///< 2D locations for the missing data (Y vector) (prediction stage). - data->lmiss.z = NULL; ///< 2D locations for the missing data (Y vector) (prediction stage). - data->lobs.x = NULL; ///< 2D locations for the observed data (X vector) (prediction stage). - data->lobs.y = NULL; ///< 2D locations for the observed data (Y vector) (prediction stage). - data->lm.x = NULL; ///< 2D locations for the median data point (X vector). - data->lm.y = NULL; ///< 2D locations for the median data point (Y vector). - data->lobs.z = NULL; ///< 2D locations for the observed data (Y vector) (prediction stage). - data->descC = NULL; ///< Covariance matrix C descriptor. - data->descZ = NULL; ///< Measurements Z descriptor. - data->Adense = NULL; ///< Dense matrix descriptor in the case of approximation mode - accuracy check. - data->Adense2 = NULL; ///< Dense matrix descriptor2 in the case of approximation mode - accuracy check. - data->descZcpy = NULL; ///< A copy of Measurements Z descriptor. - data->descdet = NULL; ///< Determinant descriptor. - data->descproduct = NULL; ///< Dot product descriptor. - data->descZmiss = NULL; ///< Missing measurements descriptor. - data->descC12 = NULL; ///< Covariance Matrix C12 descriptor. - data->descC22 = NULL; ///< Covariance Matrix C22 descriptor. - data->descZactual = NULL; ///< Actual Measurements Z descriptor. - data->descZobs = NULL; ///< observed Measurements Z descriptor. - data->descmse = NULL; ///< Mean Square Error (MSE) descriptor. - data->sequence = NULL; ///< MORSE sequence. - data->request = NULL; ///< MORSE request. - data->verbose = 0; ///< Verbose indicator. - data->log = 0; ///< Log files generation indicator, 0-->no, 1-->yes. - data->avg_exec_time_per_iter = 0; ///< Avergae execution time per iteration (only used in verbose mode). - data->total_exec_time = 0.0; ///< Total execution time (only used in verbose mode). - data->avg_flops_per_iter = 0.0; ///< Avergae flops per iteration (only used in verbose mode). - data->final_loglik = 0.0; ///< Final log likelihood value. - data->locsFPath = ""; ///< Locations file path -- in the case of real dataset (real mode). - data->obsFPath = ""; ///< Observations file path -- in the case of real dataset (real mode). - data->obsFPath2 = ""; ///< Observations file path -- in the case of real dataset (real mode). - data->actualZFPath = ""; ///< Actual observations file path -- in the case of prediction. - data->actualZFPath2 = ""; ///< Actual observations file path -- in the case of prediction. - data->actualZLocFPath = ""; ///< Actial locations file path -- in the case of prediction. - data->det = 0.0; ///< determinant value. - data->dotp = 0.0; ///< dot product value. - data->mserror = 0.0; ///< Mean Square Error (MSE) value. - data->mserror1 = 0.0; ///< Mean Square Error (MSE) value. - data->mserror2 = 0.0; ///< Mean Square Error (MSE) value. - data->dm = "ed"; ///< Distance metric to be used ed->Euclidian Distance -- gcd->Great Circle Distance. - data->diag_thick = 0; ///< The thick of used diagonal in the case of diagonal approximation approach. - data->nFileLog = NULL; ///< log file name (only used if log -->1). - data->pFileLog = NULL; ///< log file path (only used if log -->1). - data->hicma_maxrank = 0; ///< Max Rank in the case of LR-HiCMA approx - data->hicma_data_type = 0; /// to define the problem typr to HiCMA (HICMA_STARSH_PROB_GEOSTAT (Synthetic) or HICMA_STARSH_PROB_GEOSTAT_POINT (real)) - data->hicma_descC = NULL; ///< HiCMA descC descriptor (for accuracy check). - data->hicma_descZ = NULL; ///< HiCMA descZ descriptor. - data->hicma_descCD = NULL; ///< HiCMA descCD descriptor. - data->hicma_descCUV = NULL; ///< HiCMA descCUV descriptor. - data->hicma_descCrk = NULL; ///< HiCMA descCrk descriptor. - data->hicma_descZcpy = NULL; ///< A copy of Measurements Z descriptor. - data->hicma_descdet = NULL; ///< Determinant descriptor. - data->hicma_descproduct = NULL; ///< Dot product descriptor. - data->hicma_descC12D = NULL; ///< HiCMA descCD descriptor. - data->hicma_descC12UV = NULL; ///< HiCMA descCUV descriptor. - data->hicma_descC12rk = NULL; ///< HiCMA descCrk descriptor. - data->hicma_descC22D = NULL; ///< HiCMA descCD descriptor. - data->hicma_descC22UV = NULL; ///< HiCMA descCUV descriptor. - data->hicma_descC22rk = NULL; ///< HiCMA descCrk descriptor. - data-> hicma_acc = 9; ///< Accuracy in the case of LR-HiCMA approx. - data->hsequence = NULL; ///< HiCMA sequence. - data->hrequest = NULL; ///< HiCMA request. - data->opt_tol = 5; ///< The parameter tol is a tolerance that is used for the purpose of stopping criteria only. - data->opt_max_iters = -1; ///< Maximum number of mle iterations. - data->ooc = 0; ///< Support Out-Of-Core execution, 0-->no, 1-->yes. - data->kernel_fun = "univariate_matern_stationary";///< stationary_matern, or non_stationary_matern. - data->precision = 0; ///< Double, single, or mixed. - data->desck_t = NULL; - data->desck_a = NULL; - data->desck_ttmp = NULL; - data->desck_atmp = NULL; - data->descK_ttmp = NULL; - data->descK_t = NULL; - data->descK_a = NULL; - data->descexpr1 = NULL; - data->descexpr2 = NULL; - data->descexpr3 = NULL; - data->descexpr4 = NULL; - data->expr1 = 0; - data->expr2 = 0; - data->expr3 = 0; - data->expr4 = 0; - data->mloe_mmom = 0; - data->mloe_mmom_async = 0; - data->mloe = 0; - data->mmom = 0; - data->checkpoint_file = ""; - data->recovery_file = ""; + data->variance = 1.0; ///< Variance parameter. + data->variance1 = 1.0; ///< Variance1 parameter. + data->variance2 = 1.0; ///< Variance2 parameter. + data->variance3 = 1.0; ///< Variance3 parameter. + data->computation = "exact"; ///< Exact or approx computation. + data->c_fun = "univariate_matern_stationary"; ///< Matern or pow-exp kernels. + data->test = 0; ///< Test or real-data computation. + data->iter_count = 0; ///< Number of iterations to converge. + data->l1.x = NULL; ///< 2D locations for the first dataset (X vector). + data->l1.y = NULL; ///< 2D locations for the first dataset (Y vector). + data->l1.z = NULL; ///< 3D locations for the first dataset (Z vector) + data->lmiss.x = NULL; ///< 2D locations for the missing data (X vector) (prediction stage). + data->lmiss.y = NULL; ///< 2D locations for the missing data (Y vector) (prediction stage). + data->lmiss.z = NULL; ///< 2D locations for the missing data (Z vector) (prediction stage). + data->lobs.x = NULL; ///< 2D locations for the observed data (X vector) (prediction stage). + data->lobs.y = NULL; ///< 2D locations for the observed data (Y vector) (prediction stage). + data->lobs.z = NULL; ///< 2D locations for the observed data (Z vector) (prediction stage). + data->lm.x = NULL; ///< 2D locations for the median data point (X vector). + data->lm.y = NULL; ///< 2D locations for the median data point (Y vector). + data->lm.z = NULL; ///< 2D locations for the median data point (Z vector). + data->descC = NULL; ///< Covariance matrix C descriptor. + data->descZ = NULL; ///< Measurements Z descriptor. + data->descZ1 = NULL; ///< Measurements Z1 descriptor. + data->descZ2 = NULL; ///< Measurements Z2 descriptor. + data->descZ3 = NULL; ///< Measurements Z3 descriptor. + data->Adense = NULL; ///< Dense matrix descriptor in the case of approximation mode - accuracy check. + data->Adense2 = NULL; ///< Dense matrix descriptor2 in the case of approximation mode - accuracy check. + data->descZcpy = NULL; ///< A copy of Measurements Z descriptor. + data->descdet = NULL; ///< Determinant descriptor. + data->descsum - NULL; ///< Sum descriptor (non-Gaussian). + data->descproduct = NULL; ///< Dot product descriptor. + data->descproduct1 = NULL; ///< Dot product descriptor. + data->descproduct2 = NULL; ///< Dot product descriptor. + data->descproduct3 = NULL; ///< Dot product descriptor. + data->descZmiss = NULL; ///< Missing measurements descriptor. + data->descC11 = NULL; ///< Covariance Matrix C11 descriptor. + data->descC21 = NULL; ///< Covariance Matrix C21 descriptor. + data->descC12 = NULL; ///< Covariance Matrix C12 descriptor. + data->descC22 = NULL; ///< Covariance Matrix C22 descriptor. + data->descZactual = NULL; ///< Actual Measurements Z descriptor. + data->descZobs = NULL; ///< observed Measurements Z descriptor. + data->descmse = NULL; ///< Mean Square Error (MSE) descriptor. + data->descmse1 = NULL; ///< Mean Square Error (MSE) descriptor. + data->descmse2 = NULL; ///< Mean Square Error (MSE) descriptor. + data->descmse3 = NULL; ///< Mean Square Error (MSE) descriptor. + data->descZtrace = NULL; ///< Trace descriptor. + data->sequence = NULL; ///< CHAMELEON sequence. + data->request = NULL; ///< CHAMELEON request. + data->verbose = 0; ///< Verbose indicator. + data->check = 0; ///< Check indicator -- approximation mode. + data->log = 0; ///< Log files generation indicator, 0-->no, 1-->yes. + data->avg_exec_time_per_iter = 0; ///< Average execution time per iteration (only used in verbose mode). + data->total_exec_time = 0.0; ///< Total execution time (only used in verbose mode). + data->avg_flops_per_iter = 0.0; ///< Average flops per iteration (only used in verbose mode). + data->avg_generation_per_iter = 0.0; + data->avg_solve_per_iter = 0.0; + data->avg_cholesky_per_iter = 0.0; + data->final_loglik = 0.0; ///< Final log likelihood value. + data->locsFPath = ""; ///< Locations file path -- in the case of real dataset (real mode). + data->timeFPath = ""; ///< Time file path -- in the case of real dataset (real mode -- space-time kernel). + data->obsFPath = ""; ///< Observations file path -- in the case of real dataset (real mode). + data->obsFPath2 = ""; ///< Observations file path -- in the case of real dataset (real mode). + data->obsFPath3 = ""; ///< Observations file path -- in the case of real dataset (real mode). + data->actualZFPath = ""; ///< Actual observations file path -- in the case of prediction. + data->actualZFPath2 = ""; ///< Actual observations file path -- in the case of prediction. + data->actualZFPath3 = ""; ///< Actual observations file path -- in the case of prediction. + data->actualZLocFPath = ""; ///< Actual locations file path -- in the case of prediction. + data->det = 0.0; ///< Determinant value. + data->sum = 0.0; ///< Sum value (non-Gaussian). + data->dotp = 0.0; ///< Dot product value. + data->dotp1 = 0.0; ///< Double dot1 product value. + data->dotp2 = 0.0; ///< Double dot2 product value. + data->dotp3 = 0.0; ///< Double dot3 product value. + data->sdotp = 0.0; ///< Single dot product value. + data->mserror = 0.0; ///< Mean Square Error (MSE) value. + data->mserror1 = 0.0; ///< Mean Square Error (MSE) value. + data->mserror2 = 0.0; ///< Mean Square Error (MSE) value. + data->mserror3 = 0.0; ///< Mean Square Error (MSE) value. + data->dm = "ed"; ///< Distance metric to be used ed->Euclidian Distance -- gcd->Great Circle Distance. + data->diag_thick = 0; ///< The thick of used diagonal in the case of diagonal approximation approach. + data->nFileLog = NULL; ///< Log file name (only used if log -->1). + data->pFileLog = NULL; ///< Log file path (only used if log -->1). + data->hicma_maxrank = 0; ///< Max Rank in the case of LR-HiCMA approx + data->hicma_data_type = 0; ///< To define the problem typr to HiCMA (HICMA_STARSH_PROB_GEOSTAT (Synthetic) or HICMA_STARSH_PROB_GEOSTAT_POINT (real)) + data->hicma_descC = NULL; ///< HiCMA descC descriptor (for accuracy check). + data->hicma_descZ = NULL; ///< HiCMA descZ descriptor. + data->hicma_descCD = NULL; ///< HiCMA descCD descriptor. + data->hicma_descCUV = NULL; ///< HiCMA descCUV descriptor. + data->hicma_descCrk = NULL; ///< HiCMA descCrk descriptor. + data->hicma_descZcpy = NULL; ///< A copy of Measurements Z descriptor. + data->hicma_descdet = NULL; ///< Determinant descriptor. + data->hicma_descproduct = NULL; ///< Dot product descriptor. + data->hicma_descC12D = NULL; ///< HiCMA descCD descriptor. + data->hicma_descC12UV = NULL; ///< HiCMA descCUV descriptor. + data->hicma_descC12rk = NULL; ///< HiCMA descCrk descriptor. + data->hicma_descC22D = NULL; ///< HiCMA descCD descriptor. + data->hicma_descC22UV = NULL; ///< HiCMA descCUV descriptor. + data->hicma_descC22rk = NULL; ///< HiCMA descCrk descriptor. + data->hicma_acc = 9; ///< Accuracy in the case of LR-HiCMA approx. + data->hsequence = NULL; ///< HiCMA sequence. + data->hrequest = NULL; ///< HiCMA request. + data->opt_tol = 5; ///< The parameter tol is a tolerance that is used for the purpose of stopping criteria only. + data->opt_max_iters = -1; ///< Maximum number of mle iterations. + data->ooc = 0; ///< Support Out-Of-Core execution, 0-->no, 1-->yes. + data->kernel_fun = "univariate_matern_stationary";///< stationary_matern, or non_stationary_matern. + data->precision = 0; ///< Double, single, or mixed. + //Mixed Precision + data->desctemp = NULL; ///< Temporary descriptor for mixed precision Cholesky factorization. + data->desctemp22 = NULL; ///< Temporary descriptor for mixed precision Cholesky factorization. + //MLOE and MMOM + data->desck_t = NULL; + data->desck_a = NULL; + data->desck_ttmp = NULL; + data->desck_atmp = NULL; + data->descK_t = NULL; + data->descK_a = NULL; + data->descexpr1 = NULL; + data->descexpr2 = NULL; + data->descexpr3 = NULL; + data->descexpr4 = NULL; + data->descestimatedalpha = NULL; + data->desctruthalpha = NULL; + data->desc_mloe_mmom = NULL; + data->descmloe = NULL; + data->descmmom = NULL; + data->expr1 = 0.0; + data->expr2 = 0.0; + data->expr3 = 0.0; + data->expr4 = 0.0; + data->mloe = 0.0; + data->mmom = 0.0; + data->mloe_mmom = 0; + data->mloe_mmom_async = 0; + data->mspe = 0; + data->recovery_file = ""; + data->checkpoint_file = ""; + data->recovery_file = ""; + data->time_slots = 0; + data->idw = 0; + data->fisher = 0; + //for non-Gaussian prediction + data->descr = NULL; + data->descrcpy = NULL; //init result struct - results.problem_size = -1; - results.computation = NULL; - results.kernel = NULL; - results.ds_type = NULL; - results.precision = NULL; - results.z_sample = -1; - results.dense_ts = -1; - results.lr_ts = -1; - results.lr_acc = -1; - results.lr_maxrank = -1; - results.ncores = -1; - results.ngpus = -1; - results.p = -1; - results.q = -1; - results.num_params = -1; - results.initial_theta = NULL; - results.starting_theta = NULL; - results.estimated_theta = NULL; - results.final_loglik = -1; - results.time_per_iteration = -1; - results.flops_per_iteration = -1; - results.total_mle_time = -1; - results.mse_pred1 = -1; - results.mse_pred2 = -1; - results.mse_pred = -1; - results.total_pred_time = -1; - results.total_pred_flops = -1; - results.mloe = -1; - results.mmom = -1; - results.mloe_exec = NULL; - results.total_mloe_mmom_time = -1; - results.total_mloe_mmom_flops = -1; - data->checkpoint_file = ""; - data->recovery_file = ""; - data->time_slots = 0; - data->idw = 0 ; + results.problem_size = -1; + results.computation = NULL; + results.kernel = NULL; + results.ds_type = NULL; + results.precision = NULL; + results.z_sample = -1; + results.dense_ts = -1; + results.lr_ts = -1; + results.lr_acc = -1; + results.lr_maxrank = -1; + results.ncores = -1; + results.ngpus = -1; + results.p = -1; + results.q = -1; + results.num_params = -1; + results.initial_theta = NULL; + results.starting_theta = NULL; + results.estimated_theta = NULL; + results.final_loglik = -1; + results.time_per_iteration = -1; + results.cholesky_per_iter = -1; + results.flops_per_iteration = -1; + results.generation_per_iter = -1; + results.solve_per_iter = -1; + results.total_mle_time = -1; + results.mse_pred1 = -1; + results.mse_pred2 = -1; + results.mse_pred3 = -1; + results.mse_pred = -1; + results.trace_pred_sum = -1; + results.trace_pred_mean = -1; + results.total_pred_time = -1; + results.total_pred_flops = -1; + results.mloe = -1; + results.mmom = -1; + results.mloe_exec = NULL; + results.total_mloe_mmom_time = -1; + results.matrix_gen_mloe_mmom_time = -1; + results.cho_fact_mloe_mmom_time = -1; + results.loop_mloe_mmom_time = -1; + results.total_mloe_mmom_flops = -1; + results.fisher_00 = -1; + results.fisher_11 = -1; + results.fisher_22 = -1; + results.fisher_time = -1; } - - static uint32_t Compact1By1(uint32_t x) - //! Collect every second bit into lower part of input +//! Collect every second bit into lower part of input { x &= 0x55555555; // x = -f-e -d-c -b-a -9-8 -7-6 -5-4 -3-2 -1-0 - x = (x ^ (x >> 1)) & 0x33333333; + x = (x ^ (x >> 1)) & 0x33333333; // x = --fe --dc --ba --98 --76 --54 --32 --10 - x = (x ^ (x >> 2)) & 0x0f0f0f0f; + x = (x ^ (x >> 2)) & 0x0f0f0f0f; // x = ---- fedc ---- ba98 ---- 7654 ---- 3210 - x = (x ^ (x >> 4)) & 0x00ff00ff; + x = (x ^ (x >> 4)) & 0x00ff00ff; // x = ---- ---- fedc ba98 ---- ---- 7654 3210 - x = (x ^ (x >> 8)) & 0x0000ffff; + x = (x ^ (x >> 8)) & 0x0000ffff; // x = ---- ---- ---- ---- fedc ba98 7654 3210 return x; } static uint32_t DecodeMorton2X(uint32_t code) - //! Decode first input +//! Decode first input { return Compact1By1(code >> 0); } static uint32_t DecodeMorton2Y(uint32_t code) - //! Decode second input +//! Decode second input { return Compact1By1(code >> 1); } static uint32_t Part1By1(uint32_t x) - //! Spread lower bits of input +//! Spread lower bits of input { x &= 0x0000ffff; // x = ---- ---- ---- ---- fedc ba98 7654 3210 - x = (x ^ (x << 8)) & 0x00ff00ff; + x = (x ^ (x << 8)) & 0x00ff00ff; // x = ---- ---- fedc ba98 ---- ---- 7654 3210 - x = (x ^ (x << 4)) & 0x0f0f0f0f; + x = (x ^ (x << 4)) & 0x0f0f0f0f; // x = ---- fedc ---- ba98 ---- 7654 ---- 3210 - x = (x ^ (x << 2)) & 0x33333333; + x = (x ^ (x << 2)) & 0x33333333; // x = --fe --dc --ba --98 --76 --54 --32 --10 - x = (x ^ (x << 1)) & 0x55555555; + x = (x ^ (x << 1)) & 0x55555555; // x = -f-e -d-c -b-a -9-8 -7-6 -5-4 -3-2 -1-0 return x; } + static int compare_uint32(const void *a, const void *b) - //! Compare two uint32_t +//! Compare two uint32_t { - uint32_t _a = *(uint32_t *)a; - uint32_t _b = *(uint32_t *)b; - if(_a < _b) return -1; - if(_a == _b) return 0; + uint32_t _a = *(uint32_t *) a; + uint32_t _b = *(uint32_t *) b; + if (_a < _b) return -1; + if (_a == _b) return 0; return 1; } static int compare_sdata(const void *a, const void *b) - //! Compare two sdata +//! Compare two sdata { - sdata _a = *(sdata *)a; - sdata _b = *(sdata *)b; - if(_a.xy < _b.xy) return -1; - if(_a.xy == _b.xy) return 0; + sdata _a = *(sdata *) a; + sdata _b = *(sdata *) b; + if (_a.xy < _b.xy) return -1; + if (_a.xy == _b.xy) return 0; return 1; } static uint32_t EncodeMorton2(uint32_t x, uint32_t y) - //! Encode two inputs into one +//! Encode two inputs into one { return (Part1By1(y) << 1) + Part1By1(x); } -static void zsort_locations(int n, location * locations) +static void zsort_locations(int n, location *locations) //! Sort in Morton order (input points must be in [0;1]x[0;1] square]) { // Some sorting, required by spatial statistics code @@ -245,28 +300,24 @@ static void zsort_locations(int n, location * locations) uint16_t x, y; uint32_t z[n]; // Encode data into vector z - for(i = 0; i < n; i++) - { - x = (uint16_t)(locations->x[i]*(double)UINT16_MAX +.5); - y = (uint16_t)(locations->y[i]*(double)UINT16_MAX +.5); - //printf("%f %f -> %u %u\n", points[i], points[i+n], x, y); + for (i = 0; i < n; i++) { + x = (uint16_t) (locations->x[i] * (double) UINT16_MAX + .5); + y = (uint16_t) (locations->y[i] * (double) UINT16_MAX + .5); z[i] = EncodeMorton2(x, y); } // Sort vector z qsort(z, n, sizeof(uint32_t), compare_uint32); // Decode data from vector z - for(i = 0; i < n; i++) - { + for (i = 0; i < n; i++) { x = DecodeMorton2X(z[i]); y = DecodeMorton2Y(z[i]); - locations->x[i] = (double)x/(double)UINT16_MAX; - locations->y[i] = (double)y/(double)UINT16_MAX; - //printf("%lu (%u %u) -> %f %f\n", z[i], x, y, points[i], points[i+n]); + locations->x[i] = (double) x / (double) UINT16_MAX; + locations->y[i] = (double) y / (double) UINT16_MAX; } } static uint64_t Part1By3(uint64_t x) - // Spread lower bits of input +// Spread lower bits of input { x &= 0x000000000000ffff; // x = ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- fedc ba98 7654 3210 @@ -280,14 +331,15 @@ static uint64_t Part1By3(uint64_t x) // x = ---f ---e ---d ---c ---b ---a ---9 ---8 ---7 ---6 ---5 ---4 ---3 ---2 ---1 ---0 return x; } + static uint64_t EncodeMorton3(uint64_t x, uint64_t y, uint64_t z) - // Encode 3 inputs into one +// Encode 3 inputs into one { return (Part1By3(z) << 2) + (Part1By3(y) << 1) + Part1By3(x); } static uint64_t Compact1By3(uint64_t x) - // Collect every 4-th bit into lower part of input +// Collect every 4-th bit into lower part of input { x &= 0x1111111111111111; // x = ---f ---e ---d ---c ---b ---a ---9 ---8 ---7 ---6 ---5 ---4 ---3 ---2 ---1 ---0 @@ -301,147 +353,136 @@ static uint64_t Compact1By3(uint64_t x) // x = ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- fedc ba98 7654 3210 return x; } + static uint64_t DecodeMorton3X(uint64_t code) - // Decode first input +// Decode first input { return Compact1By3(code >> 0); } static uint64_t DecodeMorton3Y(uint64_t code) - // Decode second input +// Decode second input { return Compact1By3(code >> 1); } static uint64_t DecodeMorton3Z(uint64_t code) - // Decode third input +// Decode third input { return Compact1By3(code >> 2); } -static void zsort_locations_3d(int n, location * locations) - //! Sort in Morton order (input points must be in [0;1]x[0;1] square]) +static void zsort_locations_3d(int n, location *locations) +//! Sort in Morton order (input points must be in [0;1]x[0;1] square]) { // Some sorting, required by spatial statistics code int i; uint16_t x, y, z; uint64_t Z[n]; // Encode data into vector z - for(i = 0; i < n; i++) - { - x = (uint16_t)(locations->x[i]*(double)UINT16_MAX +.5); - y = (uint16_t)(locations->y[i]*(double)UINT16_MAX +.5); - z = (uint16_t)(locations->z[i]*(double)UINT16_MAX +.5); + for (i = 0; i < n; i++) { + x = (uint16_t) (locations->x[i] * (double) UINT16_MAX + .5); + y = (uint16_t) (locations->y[i] * (double) UINT16_MAX + .5); + z = (uint16_t) (locations->z[i] * (double) UINT16_MAX + .5); Z[i] = EncodeMorton3(x, y, z); } // Sort vector z qsort(Z, n, sizeof(uint64_t), compare_uint32); // Decode data from vector z - for(i = 0; i < n; i++) - { + for (i = 0; i < n; i++) { x = DecodeMorton3X(Z[i]); y = DecodeMorton3Y(Z[i]); z = DecodeMorton3Z(Z[i]); - locations->x[i] = (double)x/(double)UINT16_MAX; - locations->y[i] = (double)y/(double)UINT16_MAX; - locations->z[i] = (double)z/(double)UINT16_MAX; + locations->x[i] = (double) x / (double) UINT16_MAX; + locations->y[i] = (double) y / (double) UINT16_MAX; + locations->z[i] = (double) z / (double) UINT16_MAX; } } static void radix_sort_recursive(uint32_t *data, int count, int ndim, - int *order, int *tmp_order, int sdim, int sbit, - int lo, int hi) - // Hierarchical radix sort to get Z-order of particles. - // This function is static not to be visible outside this module. + int *order, int *tmp_order, int sdim, int sbit, + int lo, int hi) +// Hierarchical radix sort to get Z-order of particles. +// This function is static not to be visible outside this module. { int i, lo_last = lo, hi_last = hi; - uint32_t *sdata = data+sdim*count; + uint32_t *sdata = data + sdim * count; uint32_t check = 1 << sbit; - for(i = lo; i <= hi; i++) - { - if((sdata[order[i]] & check) == 0) - { + for (i = lo; i <= hi; i++) { + if ((sdata[order[i]] & check) == 0) { tmp_order[lo_last] = order[i]; lo_last++; - } - else - { + } else { tmp_order[hi_last] = order[i]; hi_last--; } } - for(i = lo; i <= hi; i++) + for (i = lo; i <= hi; i++) order[i] = tmp_order[i]; - if(sdim > 0) - { - if(lo_last-lo > 1) - radix_sort_recursive(data, count, ndim, order, tmp_order, sdim-1, - sbit, lo, lo_last-1); - if(hi-hi_last > 1) - radix_sort_recursive(data, count, ndim, order, tmp_order, sdim-1, - sbit, hi_last+1, hi); - } - else if(sbit > 0) - { - if(lo_last-lo > 1) - radix_sort_recursive(data, count, ndim, order, tmp_order, ndim-1, - sbit-1, lo, lo_last-1); - if(hi-hi_last > 1) - radix_sort_recursive(data, count, ndim, order, tmp_order, ndim-1, - sbit-1, hi_last+1, hi); + if (sdim > 0) { + if (lo_last - lo > 1) + radix_sort_recursive(data, count, ndim, order, tmp_order, sdim - 1, + sbit, lo, lo_last - 1); + if (hi - hi_last > 1) + radix_sort_recursive(data, count, ndim, order, tmp_order, sdim - 1, + sbit, hi_last + 1, hi); + } else if (sbit > 0) { + if (lo_last - lo > 1) + radix_sort_recursive(data, count, ndim, order, tmp_order, ndim - 1, + sbit - 1, lo, lo_last - 1); + if (hi - hi_last > 1) + radix_sort_recursive(data, count, ndim, order, tmp_order, ndim - 1, + sbit - 1, hi_last + 1, hi); } } static int radix_sort(uint32_t *data, int count, int ndim, - int *order) - // Auxiliary sorting function for starsh_particles_zsort_inpace(). - // This function is static not to be visible outside this module. + int *order) +// Auxiliary sorting function for starsh_particles_zsort_inpace(). +// This function is static not to be visible outside this module. { int *tmp_order = (int *) malloc(count * sizeof(int)); - radix_sort_recursive(data, count, ndim, order, tmp_order, ndim-1, 31, 0, count-1); + radix_sort_recursive(data, count, ndim, order, tmp_order, ndim - 1, 31, 0, count - 1); free(tmp_order); return 0; } -int locations_obs_zsort_inplace(int n, location *locations, double *z) - //! Sort particles in Z-order (Morton order). - /*! This function must be used after initializing @ref STARSH_particles with - * your own data by starsh_particles_init() or starsh_particles_new(). - * - * @sa starsh_particles_init(), starsh_particles_new(). - * @ingroup app-particles - * */ +int locations_obs_zsort_inplace(int n, location *locations, double* z) +//! Sort particles in Z-order (Morton order). +/*! This function must be used after initializing @ref STARSH_particles with + * your own data by starsh_particles_init() or starsh_particles_new(). + * + * @sa starsh_particles_init(), starsh_particles_new(). + * @ingroup app-particles + * */ { int i; int j;//new_j, tmp_j; int count = n; int ndim = 2; int info; - double *point = (double *) malloc(ndim * count * sizeof(double)); - double *ptr1; - double *minmax; // min is stored in lower part, max is stored in upper part + double* point = (double* ) malloc(ndim * count * sizeof(double)); + double* ptr1; + double* minmax; // min is stored in lower part, max is stored in upper part //double tmp_x; - for(i = 0; i< count; i++) - { - point[i] = locations->x[i]; - point[i+count] = locations->y[i]; + for (i = 0; i < count; i++) { + point[i] = locations->x[i]; + point[i + count] = locations->y[i]; } - // I think count should be replaced by ndim - minmax = (double *) malloc(2 * count * sizeof(double)); + // I think count should be replaced by ndim + minmax = (double* ) malloc(2 * count * sizeof(double)); - for(i = 0; i < ndim; i++) - { - ptr1 = point+i*count; // i-th dimension + for (i = 0; i < ndim; i++) { + ptr1 = point + i * count; // i-th dimension minmax[i] = ptr1[0]; - minmax[i+ndim] = minmax[i]; - for(j = 1; j < count; j++) - { - if(minmax[i] > ptr1[j]) + minmax[i + ndim] = minmax[i]; + for (j = 1; j < count; j++) { + if (minmax[i] > ptr1[j]) minmax[i] = ptr1[j]; - else if (minmax[i+ndim] < ptr1[j]) - minmax[i+ndim] = ptr1[j]; + else if (minmax[i + ndim] < ptr1[j]) + minmax[i + ndim] = ptr1[j]; } } // Now minmax[0:ndim] and minmax[ndim:2*ndim] store minimal and maximal @@ -449,44 +490,38 @@ int locations_obs_zsort_inplace(int n, location *locations, double *z) uint32_t *uint_point = (uint32_t *) malloc(ndim * count * sizeof(uint32_t)); uint32_t *uint_ptr1; double min, range; - for(i = 0; i < ndim; i++) - { - uint_ptr1 = uint_point+i*count; - ptr1 = point+i*count; + for (i = 0; i < ndim; i++) { + uint_ptr1 = uint_point + i * count; + ptr1 = point + i * count; min = minmax[i]; - range = minmax[i+ndim]-min; - for(j = 0; j < count; j++) - uint_ptr1[j] = (ptr1[j]-min)/range*UINT32_MAX; + range = minmax[i + ndim] - min; + for (j = 0; j < count; j++) + uint_ptr1[j] = (ptr1[j] - min) / range * UINT32_MAX; } free(minmax); // Now uint_ptr1 contains initial coordinates, rescaled to range // [0, UINT32_MAX] and converted to uint32_t type to use special radix sort // Prepare indexes to store sort order int *order = (int *) malloc(count * sizeof(int)); - for(j = 0; j < count; j++) + for (j = 0; j < count; j++) order[j] = j; info = radix_sort(uint_point, count, ndim, order); - if(info != 0) - { + if (info != 0) { free(uint_point); free(order); return info; } - double *new_point = (double *) malloc(ndim * count * sizeof(double)); - double *new_z = (double *) malloc( count * sizeof(double)); - for(j = 0; j < count; j++) - { - for(i = 0; i < ndim; i++) - new_point[count*i+j] = point[count*i+order[j]]; + double* new_point = (double* ) malloc(ndim * count * sizeof(double)); + double* new_z = (double* ) malloc(count * sizeof(double)); + for (j = 0; j < count; j++) { + for (i = 0; i < ndim; i++) + new_point[count * i + j] = point[count * i + order[j]]; new_z[j] = z[order[j]]; } - for(i = 0; i< count; i++) - { + for (i = 0; i < count; i++) { locations->x[i] = new_point[i]; - locations->y[i] = new_point[i+count]; + locations->y[i] = new_point[i + count]; z[i] = new_z[i]; - //printf("%f - %f - %f\n",locations->x[i], locations->y[i], z[i]); - } free(new_point); free(point); @@ -497,8 +532,7 @@ int locations_obs_zsort_inplace(int n, location *locations, double *z) } - -//int locations_obs_zsort_inplace(int n, location *locations, double *z) +int locations_obs_zsort_inplace_bivariate(int n, location *locations, double* z, double* z2) //! Sort particles in Z-order (Morton order). /*! This function must be used after initializing @ref STARSH_particles with * your own data by starsh_particles_init() or starsh_particles_new(). @@ -506,79 +540,187 @@ int locations_obs_zsort_inplace(int n, location *locations, double *z) * @sa starsh_particles_init(), starsh_particles_new(). * @ingroup app-particles * */ -/*{ - int i; - int j, new_j, tmp_j; - int count = n; - int ndim = 2; - int info; - double *point = data->point; //******** - double *ptr1; - double *minmax; // min is stored in lower part, max is stored in upper part - double tmp_x; - minmax = (double *) malloc(2 * count * sizeof(double)); - -//Stop -for(i = 0; i < ndim; i++) -{ -ptr1 = point+i*count; // i-th dimension -minmax[i] = ptr1[0]; -minmax[i+ndim] = minmax[i]; -for(j = 1; j < count; j++) { -if(minmax[i] > ptr1[j]) -minmax[i] = ptr1[j]; -else if (minmax[i+ndim] < ptr1[j]) -minmax[i+ndim] = ptr1[j]; -} -} -// Now minmax[0:ndim] and minmax[ndim:2*ndim] store minimal and maximal -// values of coordinates -uint32_t *uint_point; -STARSH_MALLOC(uint_point, count*ndim); -uint32_t *uint_ptr1; -double min, range; -for(i = 0; i < ndim; i++) -{ -uint_ptr1 = uint_point+i*count; -ptr1 = point+i*count; -min = minmax[i]; -range = minmax[i+ndim]-min; -for(j = 0; j < count; j++) -uint_ptr1[j] = (ptr1[j]-min)/range*UINT32_MAX; -} -free(minmax); -// Now uint_ptr1 contains initial coordinates, rescaled to range -// [0, UINT32_MAX] and converted to uint32_t type to use special radix sort -// Prepare indexes to store sort order -STARSH_int *order; -STARSH_MALLOC(order, count); -for(j = 0; j < count; j++) -order[j] = j; -info = radix_sort(uint_point, count, ndim, order); -if(info != STARSH_SUCCESS) -{ -free(uint_point); -free(order); -return info; + int i; + int j;//new_j, tmp_j; + int count = n; + int ndim = 2; + int info; + double* point = (double* ) malloc(ndim * count * sizeof(double)); + double* ptr1; + double* minmax; // min is stored in lower part, max is stored in upper part + //double tmp_x; + for (i = 0; i < count; i++) { + point[i] = locations->x[i]; + point[i + count] = locations->y[i]; + } + + // I think count should be replaced by ndim + minmax = (double* ) malloc(2 * count * sizeof(double)); + + for (i = 0; i < ndim; i++) { + ptr1 = point + i * count; // i-th dimension + minmax[i] = ptr1[0]; + minmax[i + ndim] = minmax[i]; + for (j = 1; j < count; j++) { + if (minmax[i] > ptr1[j]) + minmax[i] = ptr1[j]; + else if (minmax[i + ndim] < ptr1[j]) + minmax[i + ndim] = ptr1[j]; + } + } + // Now minmax[0:ndim] and minmax[ndim:2*ndim] store minimal and maximal + // values of coordinates + uint32_t *uint_point = (uint32_t *) malloc(ndim * count * sizeof(uint32_t)); + uint32_t *uint_ptr1; + double min, range; + for (i = 0; i < ndim; i++) { + uint_ptr1 = uint_point + i * count; + ptr1 = point + i * count; + min = minmax[i]; + range = minmax[i + ndim] - min; + for (j = 0; j < count; j++) + uint_ptr1[j] = (ptr1[j] - min) / range * UINT32_MAX; + } + free(minmax); + // Now uint_ptr1 contains initial coordinates, rescaled to range + // [0, UINT32_MAX] and converted to uint32_t type to use special radix sort + // Prepare indexes to store sort order + int *order = (int *) malloc(count * sizeof(int)); + for (j = 0; j < count; j++) + order[j] = j; + info = radix_sort(uint_point, count, ndim, order); + if (info != 0) { + free(uint_point); + free(order); + return info; + } + double* new_point = (double* ) malloc(ndim * count * sizeof(double)); + double* new_z = (double* ) malloc(count * sizeof(double)); + double* new_z2 = (double* ) malloc(count * sizeof(double)); + for (j = 0; j < count; j++) { + for (i = 0; i < ndim; i++) + new_point[count * i + j] = point[count * i + order[j]]; + new_z[j] = z[order[j]]; + new_z2[j] = z2[order[j]]; + } + for (i = 0; i < count; i++) { + locations->x[i] = new_point[i]; + locations->y[i] = new_point[i + count]; + z[i] = new_z[i]; + z2[i] = new_z2[i]; + } + free(new_point); + free(point); + free(new_z); + free(new_z2); + free(uint_point); + free(order); + return 0; } -double *new_point; -STARSH_MALLOC(new_point, count*ndim); -for(j = 0; j < count; j++) + + +int locations_obs_zsort_inplace_trivariate(int n, location *locations, double* z, double* z2, double* z3) +//! Sort particles in Z-order (Morton order). +/*! This function must be used after initializing @ref STARSH_particles with + * your own data by starsh_particles_init() or starsh_particles_new(). + * + * @sa starsh_particles_init(), starsh_particles_new(). + * @ingroup app-particles + * */ { -for(i = 0; i < ndim; i++) -new_point[count*i+j] = point[count*i+order[j]]; -} -data->point = new_point; -free(point); -free(uint_point); -free(order); -return STARSH_SUCCESS; + int i; + int j;//new_j, tmp_j; + int count = n; + int ndim = 2; + int info; + double* point = (double* ) malloc(ndim * count * sizeof(double)); + double* ptr1; + double* minmax; // min is stored in lower part, max is stored in upper part + //double tmp_x; + for (i = 0; i < count; i++) { + point[i] = locations->x[i]; + point[i + count] = locations->y[i]; + } + + // I think count should be replaced by ndim + minmax = (double* ) malloc(2 * count * sizeof(double)); + + for (i = 0; i < ndim; i++) { + ptr1 = point + i * count; // i-th dimension + minmax[i] = ptr1[0]; + minmax[i + ndim] = minmax[i]; + for (j = 1; j < count; j++) { + if (minmax[i] > ptr1[j]) + minmax[i] = ptr1[j]; + else if (minmax[i + ndim] < ptr1[j]) + minmax[i + ndim] = ptr1[j]; + } + } + // Now minmax[0:ndim] and minmax[ndim:2*ndim] store minimal and maximal + // values of coordinates + uint32_t *uint_point = (uint32_t *) malloc(ndim * count * sizeof(uint32_t)); + uint32_t *uint_ptr1; + double min, range; + for (i = 0; i < ndim; i++) { + uint_ptr1 = uint_point + i * count; + ptr1 = point + i * count; + min = minmax[i]; + range = minmax[i + ndim] - min; + for (j = 0; j < count; j++) + uint_ptr1[j] = (ptr1[j] - min) / range * UINT32_MAX; + } + free(minmax); + // Now uint_ptr1 contains initial coordinates, rescaled to range + // [0, UINT32_MAX] and converted to uint32_t type to use special radix sort + // Prepare indexes to store sort order + int *order = (int *) malloc(count * sizeof(int)); + for (j = 0; j < count; j++) + order[j] = j; + info = radix_sort(uint_point, count, ndim, order); + if (info != 0) { + free(uint_point); + free(order); + return info; + } + double* new_point = (double* ) malloc(ndim * count * sizeof(double)); + double* new_z = (double* ) malloc(count * sizeof(double)); + double* new_z2 = (double* ) malloc(count * sizeof(double)); + double* new_z3 = (double* ) malloc(count * sizeof(double)); + for (j = 0; j < count; j++) { + for (i = 0; i < ndim; i++) + new_point[count * i + j] = point[count * i + order[j]]; + new_z[j] = z[order[j]]; + new_z2[j] = z2[order[j]]; + new_z3[j] = z3[order[j]]; + } + for (i = 0; i < count; i++) { + locations->x[i] = new_point[i]; + locations->y[i] = new_point[i + count]; + z[i] = new_z[i]; + z2[i] = new_z2[i]; + z3[i] = new_z3[i]; + + } + free(new_point); + free(point); + free(new_z); + free(new_z2); + free(new_z3); + free(uint_point); + free(order); + return 0; } -*/ +//! Sort particles in Z-order (Morton order). +/*! This function must be used after initializing @ref STARSH_particles with + * your own data by starsh_particles_init() or starsh_particles_new(). + * + * @sa starsh_particles_init(), starsh_particles_new(). + * @ingroup app-particles + * */ -void zsort_locations_obs(int n, location *locations, double *z) - //! Sort in Morton order (input points must be in [0;1]x[0;1] square]) +void zsort_locations_obs(int n, location *locations, double* z) +//! Sort in Morton order (input points must be in [0;1]x[0;1] square]) { // Some sorting, required by spatial statistics code int i; @@ -586,30 +728,28 @@ void zsort_locations_obs(int n, location *locations, double *z) sdata z_struct[n]; // Encode data into vector z - for(i = 0; i < n; i++) - { - x = (uint16_t)(locations->x[i]*(double)UINT16_MAX +.5); - y = (uint16_t)(locations->y[i]*(double)UINT16_MAX +.5); + for (i = 0; i < n; i++) { + x = (uint16_t) (locations->x[i] * (double) UINT16_MAX + .5); + y = (uint16_t) (locations->y[i] * (double) UINT16_MAX + .5); z_struct[i].xy = EncodeMorton2(x, y); - z_struct[i].z = z[i]; + z_struct[i].z = z[i]; } // Sort vector z qsort(z_struct, n, sizeof(sdata), compare_sdata); // Decode data from vector z - for(i = 0; i < n; i++) - { + for (i = 0; i < n; i++) { x = DecodeMorton2X(z_struct[i].xy); y = DecodeMorton2Y(z_struct[i].xy); - locations->x[i] = (double)x/(double)UINT16_MAX; - locations->y[i] = (double)y/(double)UINT16_MAX; - z[i] = z_struct[i].z; + locations->x[i] = (double) x / (double) UINT16_MAX; + locations->y[i] = (double) y / (double) UINT16_MAX; + z[i] = z_struct[i].z; } } -double uniform_distribution(double rangeLow, double rangeHigh) - //! Generate uniform distribution between rangeLow , rangeHigh +double uniform_distribution(double rangeLow, double rangeHigh) +//! Generate uniform distribution between rangeLow , rangeHigh { // unsigned int *seed = &exageostat_seed; double myRand = (double) rand() / (double) (1.0 + RAND_MAX); @@ -618,42 +758,30 @@ double uniform_distribution(double rangeLow, double rangeHigh) return myRand_scaled; } -location* GenerateXYLoc(int n, int seed) - //! Generate XY location for exact computation (MOORSE) +location *GenerateXYLoc(int n, int seed) +//! Generate XY location for exact computation (MORSE) { //initalization - int i = 0 ,index = 0, j = 0; - // unsigned int *seed = &exageostat_seed; + int i = 0, index = 0, j = 0; srand(seed); - location* locations = (location *) malloc( sizeof(location*)); + location *locations = (location *) malloc(sizeof(location *)); //Allocate memory - locations->x = (double *) malloc(n * sizeof(double)); - locations->y = (double *) malloc(n * sizeof(double)); - locations->z = NULL; - // if(strcmp(locs_file, "") == 0) - // { - - int sqrtn = sqrt(n); + locations->x = (double* ) malloc(n * sizeof(double)); + locations->y = (double* ) malloc(n * sizeof(double)); + locations->z = NULL; - //Check if the input is square number or not - if(pow(sqrtn,2) != n) - { - printf("n=%d, Please use a perfect square number to generate a valid synthetic dataset.....\n\n", n); - exit(0); - } + int sqrtn = ceil(sqrt(n)); - int *grid = (int *) calloc((int)sqrtn, sizeof(int)); + int *grid = (int *) calloc((int) sqrtn, sizeof(int)); - for(i = 0; i < sqrtn; i++) - { - grid[i] = i+1; + for (i = 0; i < sqrtn; i++) { + grid[i] = i + 1; } - for(i = 0; i < sqrtn; i++) - for(j = 0; j < sqrtn; j++){ - locations->x[index] = (grid[i]-0.5+uniform_distribution(-0.4, 0.4))/sqrtn; - locations->y[index] = (grid[j]-0.5+uniform_distribution(-0.4, 0.4))/sqrtn; - //printf("%f, %f\n", locations->x[index], locations->y[index]); + for (i = 0; i < sqrtn && index < n; i++) + for (j = 0; j < sqrtn && index < n; j++) { + locations->x[index] = (grid[i] - 0.5 + uniform_distribution(-0.4, 0.4)) / sqrtn; + locations->y[index] = (grid[j] - 0.5 + uniform_distribution(-0.4, 0.4)) / sqrtn; index++; } free(grid); @@ -661,45 +789,59 @@ location* GenerateXYLoc(int n, int seed) return locations; } +location *GenerateXYLoc_R(int n) +//! Generate XY location for exact computation (MORSE) +{ + printf("%d\n", n); + //initalization + int i = 0, index = 0, j = 0; + location *locations = (location *) malloc(sizeof(location *)); + //Allocate memory + locations->x = (double* ) malloc(n * sizeof(double)); + locations->y = (double* ) malloc(n * sizeof(double)); + locations->z = NULL; + + + int sqrtn = ceil(sqrt(n)); + + printf("%f", sqrtn); + for (i = 0; i <= sqrtn && index < n; i++) + for (j = 0; j <= sqrtn && index < n; j++) { + locations->x[index] = i / (sqrtn - 1); + locations->y[index] = j / (sqrtn - 1); + index++; + } + zsort_locations(n, locations); + + return locations; +} -location* GenerateXYZLoc(int n, int seed) - //! Generate XY location for exact computation (MOORSE) +location *GenerateXYZLoc(int n, int seed) +//! Generate XY location for exact computation (MOORSE) { //initalization - int i = 0 ,index = 0, j = 0, k = 0; - // unsigned int *seed = &exageostat_seed; + int i = 0, index = 0, j = 0, k = 0; srand(seed); - location* locations = (location *) malloc( sizeof(location*)); + location *locations = (location *) malloc(sizeof(location)); //Allocate memory - locations->x = (double *) malloc(n * sizeof(double)); - locations->y = (double *) malloc(n * sizeof(double)); - locations->z = (double *) malloc(n * sizeof(double)); + locations->x = (double* ) malloc(n * sizeof(double)); + locations->y = (double* ) malloc(n * sizeof(double)); + locations->z = (double* ) malloc(n * sizeof(double)); - int cbrtn = cbrt(n); + int cbrtn = ceil(cbrt(n)); - //Check if the input is square number or not - if(pow(cbrtn, 3) != n) - { - printf("Please use a perfect cubic number to generate a valid synthetic dataset.....\n\n"); - exit(0); + int *grid = (int *) calloc((int) cbrtn, sizeof(int)); + for (i = 0; i < cbrtn; i++) { + grid[i] = i + 1; } - int *grid = (int *) calloc((int)cbrtn, sizeof(int)); - for(i = 0; i < cbrtn; i++) - { - grid[i] = i+1; - } - - printf("cbrtn:%d\n", cbrtn); - - for(i = 0; i < cbrtn; i++) - for(j = 0; j < cbrtn; j++) - for(k = 0; k < cbrtn; k++) - { - locations->x[index] = (grid[i]-0.5+uniform_distribution(-0.4, 0.4))/cbrtn; - locations->y[index] = (grid[j]-0.5+uniform_distribution(-0.4, 0.4))/cbrtn; - locations->z[index] = (grid[k]-0.5+uniform_distribution(-0.4, 0.4))/cbrtn; + for (i = 0; i < cbrtn && index < n; i++) + for (j = 0; j < cbrtn && index < n; j++) + for (k = 0; k < cbrtn && index < n; k++) { + locations->x[index] = (grid[i] - 0.5 + uniform_distribution(-0.4, 0.4)) / cbrtn; + locations->y[index] = (grid[j] - 0.5 + uniform_distribution(-0.4, 0.4)) / cbrtn; + locations->z[index] = (grid[k] - 0.5 + uniform_distribution(-0.4, 0.4)) / cbrtn; index++; } free(grid); @@ -707,121 +849,132 @@ location* GenerateXYZLoc(int n, int seed) return locations; } - -location* GenerateXYLoc_ST(int n, int t_slots, int seed) - //! Generate XY location for exact computation (MOORSE) +/*****************************************************************************************************************/ +location *GenerateXYLoc_reg(int n, int seed) +//! Generate XY location for exact computation (MORSE) { //initalization - int i = 0 ,index = 0, j = 0; - n/=t_slots; ///to be modified - // unsigned int *seed = &exageostat_seed; + int i = 0, index = 0, j = 0; srand(seed); - location* locations = (location *) malloc( sizeof(location*)); + location *locations = (location *) malloc(sizeof(location *)); //Allocate memory - locations->x = (double *) malloc(n * t_slots * sizeof(double)); - locations->y = (double *) malloc(n * t_slots * sizeof(double)); - locations->z = (double *) malloc(n * t_slots * sizeof(double)); - // if(strcmp(locs_file, "") == 0) - // { - int sqrtn = sqrt(n); - - //Check if the input is square number or not - if(pow(sqrtn,2) != n) - { - printf("n=%d, Please use a perfect square number to generate a valid synthetic dataset.....\n\n", n); - exit(0); - } + locations->x = (double* ) malloc(n * sizeof(double)); + locations->y = (double* ) malloc(n * sizeof(double)); + locations->z = NULL; - int *grid = (int *) calloc((int)sqrtn, sizeof(int)); + int sqrtn = ceil(sqrt(n)); - for(i = 0; i < sqrtn; i++) - { - grid[i] = i+1; + int *grid = (int *) calloc((int) sqrtn, sizeof(int)); + + for (i = 0; i < sqrtn; i++) { + grid[i] = i + 1; } - for(i = 0; i < sqrtn; i++) - for(j = 0; j < sqrtn; j++){ - locations->x[index] = (grid[i]-0.5+uniform_distribution(-0.4, 0.4))/sqrtn; - locations->y[index] = (grid[j]-0.5+uniform_distribution(-0.4, 0.4))/sqrtn; - //printf("%f, %f\n", locations->x[index], locations->y[index]); + for (i = 0; i < sqrtn && index < n; i++) + for (j = 0; j < sqrtn && index < n; j++) { + locations->x[index] = ((double) grid[i]) * 3 / sqrtn; + locations->y[index] = ((double) grid[j]) * 3 / sqrtn; + printf("%f, %f\n", locations->x[index], locations->y[index]); index++; } + free(grid); + zsort_locations(n, locations); + return locations; +} + +location *GenerateXYLoc_ST(int n, int t_slots, int seed) +//! Generate XY location for exact computation (MOORSE) +{ + //initalization + int i = 0, index = 0, j = 0; + + srand(seed); + location *locations = (location *) malloc(sizeof(location)); + //Allocate memory + locations->x = (double* ) malloc(n * t_slots * sizeof(double)); + locations->y = (double* ) malloc(n * t_slots * sizeof(double)); + locations->z = (double* ) malloc(n * t_slots * sizeof(double)); + + int sqrtn = ceil(sqrt(n)); + + int *grid = (int *) calloc((int) sqrtn, sizeof(int)); - for(j=0;jx[i+j*n]= locations->x[i]; - locations->y[i+j*n]= locations->y[i]; - locations->z[i+j*n] = (double)j+1; - // printf("%f, %f, %f\n", locations->x[i+j*n], locations->y[i+j*n], locations->z[i+j*n]); - //printf("%f, %f, %f\n", locations->x[0], locations->y[0], locations->z[0]); - //printf("%d\n",i+j*n); + for (i = 0; i < sqrtn; i++) { + grid[i] = i + 1; + } + + for (i = 0; i < sqrtn && index < n; i++) + for (j = 0; j < sqrtn && index < n; j++) { + locations->x[index] = (grid[i] - 0.5 + uniform_distribution(-0.4, 0.4)) / sqrtn; + locations->y[index] = (grid[j] - 0.5 + uniform_distribution(-0.4, 0.4)) / sqrtn; + locations->z[index] = 1.0; + index++; } - // exit(0); - // free(grid); - // zsort_locations_3d(n, locations); - //printf("%f, %f, %f\n", locations->x[18], locations->y[18], locations->z[18]); - //exit(0); - //printf("%d\n",i+j*n); + + for (j = 1; j < t_slots; j++) { + for (i = 0; i < n; i++) { + locations->x[i + j * n] = locations->x[i]; + locations->y[i + j * n] = locations->y[i]; + locations->z[i + j * n] = (double) (j + 1); + } + } return locations; } -void print_dmatrix(char* desc, int m, int n, double* a, int lda) - //! print matrix contents (only for testing accuracy should be removed in release) +void print_dmatrix(char *desc, int m, int n, double* a, int lda) +//! print matrix contents (only for testing accuracy should be removed in release) { int i, j; - fprintf(stderr,"\n %s\n", desc); + fprintf(stderr, "\n %s\n", desc); for (i = 0; i < m; i++) { for (j = 0; j < n; j++) fprintf(stderr, " %6.4e", a[i + lda * j]); - fprintf(stderr,"\n"); + fprintf(stderr, "\n"); } } -void print_diagonal(char* desc, int m, double* a, int lda) +void print_diagonal(char *desc, int m, double* a, int lda) //! print matrix contents (only for testing accuracy should be removed in release) { int i, j; - fprintf(stderr,"\n %s\n", desc); + fprintf(stderr, "\n %s\n", desc); for (i = 0; i < m; i++) { fprintf(stderr, " %6.4e - ", a[i + lda * i]); } - fprintf(stderr,"\n"); + fprintf(stderr, "\n"); } -void print_smatrix(char* desc, int m, int n, float* a, int lda) +void print_smatrix(char *desc, int m, int n, float *a, int lda) //! print matrix contents (only for testing accuracy should be removed in release) { int i, j; - fprintf(stderr,"\n %s\n", desc); + fprintf(stderr, "\n %s\n", desc); for (i = 0; i < m; i++) { for (j = 0; j < n; j++) fprintf(stderr, " %6.4e", a[i + lda * j]); - fprintf(stderr,"\n"); + fprintf(stderr, "\n"); } } int countlines(char *filename) - //!count the number of samples in real running mode +//!count the number of samples in real running mode { - FILE *fp = fopen(filename,"r"); + FILE *fp = fopen(filename, "r"); int ch = 0; int lines = 0; - if (fp == NULL) - { - fprintf(stderr,"cannot open locations file\n"); + if (fp == NULL) { + fprintf(stderr, "cannot open locations file\n"); return 0; } - while(!feof(fp)) - { + while (!feof(fp)) { ch = fgetc(fp); - if(ch == '\n') + if (ch == '\n') lines++; } @@ -832,70 +985,65 @@ int countlines(char *filename) } -void write_to_file(char * path, int matrix_size,int ncores,int tile_size, int test, char *computation, int async, char *obsFPath,double total_exec_time,double avg_exec_time_per_iter, double avg_flops_per_iter , int p_grid, int q_grid, double final_loglik, int n) +void write_to_file(char *path, int matrix_size, int ncores, int tile_size, int test, char *computation, int async, + char *obsFPath, double total_exec_time, double avg_exec_time_per_iter, double avg_flops_per_iter, + int p_grid, int q_grid, double final_loglik, int n) //! write results in detail (only for testing accuracy should be removed in release) { FILE *pFile; double peakperfomrance; - double percent; - pFile = fopen(path,"a"); - if(pFile == NULL) { - fprintf(stderr,"Cannot access the results path(1)\n"); + double percent; + pFile = fopen(path, "a"); + if (pFile == NULL) { + fprintf(stderr, "Cannot access the results path(1)\n"); exit(0); } - peakperfomrance = q_grid*p_grid*ncores*16*2.3; - percent = avg_flops_per_iter/peakperfomrance; + peakperfomrance = q_grid * p_grid * ncores * 16 * 2.3; + percent = avg_flops_per_iter / peakperfomrance; fprintf(pFile, "%d\t", n); fprintf(pFile, "%d\t", ncores); - fprintf(pFile, "%d\t", q_grid*p_grid); + fprintf(pFile, "%d\t", q_grid * p_grid); fprintf(pFile, "%f\t", total_exec_time); fprintf(pFile, "%f\t", avg_exec_time_per_iter); fprintf(pFile, "%f\t\t", avg_flops_per_iter); fprintf(pFile, "%f\t", peakperfomrance); fprintf(pFile, "%f\t", percent); fprintf(pFile, "%d-", tile_size); - // fprintf(pFile, "%s-", ikernel); fprintf(pFile, "%s-", computation); - if(async == 0) + if (async == 0) fprintf(pFile, "SYNC-"); else fprintf(pFile, "ASYNC-"); - if(test == 1) + if (test == 1) fprintf(pFile, "%d-", matrix_size); else fprintf(pFile, "%s-", obsFPath); fprintf(pFile, "%f \n", final_loglik); fclose(pFile); - } -void theta_parser2(double *theta_vec, char * kern, int num_params) - //! parse the theta vector, example: "1:0.5:0.1" -> {1, 0.5, 0.1} +void theta_parser2(double* theta_vec, char *kern, int num_params) +//! parse the theta vector, example: "1:0.5:0.1" -> {1, 0.5, 0.1} { int i = 0; - if(!strcmp(kern,"")) - { - for( i = 0 ; i < num_params; i++) + if (!strcmp(kern, "")) { + for (i = 0; i < num_params; i++) theta_vec[i] = -1; } - char * token; - while( (token = strsep(&kern,":")) != NULL ) - { - if (strcmp(token,"?")) - theta_vec[i] = strtod(token,NULL); + char *token; + while ((token = strsep(&kern, ":")) != NULL) { + if (strcmp(token, "?")) + theta_vec[i] = (double) strtod(token, NULL); else theta_vec[i] = -1; i++; } - - } -void write_pred_vector(double *zvec, MLE_data * data, int n, double mserror) -{ +void write_pred_vector(double* zvec, MLE_data *data, int n, double mserror) { /*! * Returns initial_theta, starting_theta, target_theta. * @param[in] zvec: measurements vector. @@ -904,67 +1052,103 @@ void write_pred_vector(double *zvec, MLE_data * data, int n, double mserror) * */ FILE *pFile; - pFile = fopen("predict_values.txt","w+"); - if(pFile == NULL) { - fprintf(stderr,"Cannot access the results path(1)\n"); + pFile = fopen("predict_values.txt", "w+"); + if (pFile == NULL) { + fprintf(stderr, "Cannot access the results path(1)\n"); exit(0); } fprintf(pFile, "MSPE: %2.6f\n", mserror); - int i=0; - for(i=0;il1; struct stat st = {0}; - char * nFileZ = (char *) malloc(50 * sizeof(char)); - char * temp = (char *) malloc(50 * sizeof(char)); - char * nFileXY = (char *) malloc(50 * sizeof(char)); - data->nFileLog = (char *) malloc(50 * sizeof(char)); + char *nFileZ = (char *) malloc(100 * sizeof(char)); + char *nFileZ2 = (char *) malloc(100 * sizeof(char)); + char *nFileZ3 = (char *) malloc(100 * sizeof(char)); + char *temp = (char *) malloc(100 * sizeof(char)); + char *nFileXY = (char *) malloc(100 * sizeof(char)); + data->nFileLog = (char *) malloc(100 * sizeof(char)); + int p = 1; //Create New directory if not exist - if (stat("./synthetic_ds", &st) == -1) + if (stat("./synthetic_ds", &st) == -1) mkdir("./synthetic_ds", 0700); - - snprintf(nFileZ, 50, "%s%d%s", "./synthetic_ds/Z_", n,"_"); - snprintf(nFileXY, 50, "%s%d%s", "./synthetic_ds/LOC_", n,"_"); - snprintf(data->nFileLog, 50, "%s%d%s", "./synthetic_ds/log_", n,"_"); - - snprintf(temp, 50, "%s%d", data->nFileLog , i); - while(doesFileExist(temp) == 1) - { + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) + p = 2; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) + p = 2; + else if (strcmp(data->kernel_fun, "univariate_spacetime_matern_stationary") == 0) + p = 1; + else if (strcmp(data->kernel_fun, "bivariate_spacetime_matern_stationary") == 0) + p = 2; + else if (strcmp(data->kernel_fun, "trivariate_matern_parsimonious") == 0 || + strcmp(data->kernel_fun, "trivariate_matern_parsimonious_profile") == 0) + p = 3; + snprintf(nFileZ, 100, "%s%d%s%s%s", "./synthetic_ds/Z1_", n / p, "_", data->kernel_fun, "_"); + snprintf(nFileZ2, 100, "%s%d%s%s%s", "./synthetic_ds/Z2_", n / p, "_", data->kernel_fun, "_"); + snprintf(nFileZ3, 100, "%s%d%s%s%s", "./synthetic_ds/Z3_", n / p, "_", data->kernel_fun, "_"); + snprintf(nFileXY, 100, "%s%d%s%s%s", "./synthetic_ds/LOC_", n / p, "_", data->kernel_fun, "_"); + snprintf(data->nFileLog, 100, "%s%d%s%s%s", "./synthetic_ds/log_", n / p, "_", data->kernel_fun, "_"); + + snprintf(temp, 100, "%s%d", data->nFileLog, i); + while (doesFileExist(temp) == 1) { i++; - snprintf(temp, 50, "%s%d", data->nFileLog , i); + snprintf(temp, 100, "%s%d", data->nFileLog, i); } sprintf(temp, "%d", i); strcat(nFileZ, temp); strcat(nFileXY, temp); + strcat(nFileZ2, temp); + strcat(nFileZ3, temp); strcat(data->nFileLog, temp); - pFileZ = fopen(nFileZ, "w+"); - pFileXY = fopen(nFileXY, "w+"); - - - for(i=0;iz ==NULL) + pFileXY = fopen(nFileXY, "w+"); + + if (p == 1) + for (i = 0; i < n; i++) + fprintf(pFileZ, "%f\n", zvec[i]); + else if (p == 2) { + pFileZ2 = fopen(nFileZ2, "w+"); + for (i = 0; i < n; i += 2) { + fprintf(pFileZ, "%f\n", zvec[i]); + fprintf(pFileZ2, "%f\n", zvec[i + 1]); + } + fclose(pFileZ2); + } else if (p == 3) { + pFileZ2 = fopen(nFileZ2, "w+"); + pFileZ3 = fopen(nFileZ3, "w+"); + for (i = 0; i < n; i += 3) { + fprintf(pFileZ, "%f\n", zvec[i]); + fprintf(pFileZ2, "%f\n", zvec[i + 1]); + fprintf(pFileZ3, "%f\n", zvec[i + 2]); + } + fclose(pFileZ2); + fclose(pFileZ3); + } + for (i = 0; i < n / p; i++) { + if (l->z == NULL) fprintf(pFileXY, "%f,%f\n", l->x[i], l->y[i]); else fprintf(pFileXY, "%f,%f,%f\n", l->x[i], l->y[i], l->z[i]); @@ -974,29 +1158,25 @@ void write_vectors(double * zvec, MLE_data * data, int n) fclose(pFileXY); } -void write_to_thetafile(char * path, double *theta, int num_params, - int n, double time_per_iter, - int total_no_iters, - double prediction_error, - double mloe, - double mmom) - //! write results (only for testing accuracy should be removed in release) +void write_to_thetafile(char *path, double* theta, int num_params, + int n, double time_per_iter, + int total_no_iters, + double prediction_error, + double mloe, + double mmom) +//! write results (only for testing accuracy should be removed in release) { FILE *pFile; + pFile = fopen(path, "a"); - pFile = fopen(path,"a"); - - if(pFile == NULL) { + if (pFile == NULL) { printf("Cannot access the results path(3)\n"); exit(0); } - for(int i=0; i 1) - { + if (n > 1) { size_t i; - // unsigned int *seed = &exageostat_seed; - // size_t jj = i + rand() / (RAND_MAX / (n - i) + 1); - for (i = 0; i < n - 1; i++) - { + + for (i = 0; i < n - 1; i++) { size_t j = i + rand() / (RAND_MAX / (n - i) + 1); double t = array[j]; @@ -1108,16 +1256,41 @@ void shuffle(double *array, location * locations, size_t n) } } -void shuffle2(double *array, double *array2, location * locations, size_t n) - //! shuffle an array +void shuffle2(double* array, double* array2, location *locations, size_t n) +//! shuffle an array { - if (n > 1) - { + if (n > 1) { + size_t i; + + for (i = 0; i < n - 1; i++) { + size_t j = i + rand() / (RAND_MAX / (n - i) + 1); + + double t = array[j]; + array[j] = array[i]; + array[i] = t; + double t2 = array2[j]; + array2[j] = array2[i]; + array2[i] = t2; + double xtemp = locations->x[j]; + locations->x[j] = locations->x[i]; + locations->x[i] = xtemp; + double ytemp = locations->y[j]; + locations->y[j] = locations->y[i]; + locations->y[i] = ytemp; + + } + } +} + + +void shuffle3(double* array, double* array2, double* array3, location *locations, size_t n) +//! shuffle an array +{ + if (n > 1) { size_t i; // unsigned int *seed = &exageostat_seed; // size_t jj = i + rand() / (RAND_MAX / (n - i) + 1); - for (i = 0; i < n - 1; i++) - { + for (i = 0; i < n - 1; i++) { size_t j = i + rand() / (RAND_MAX / (n - i) + 1); double t = array[j]; @@ -1126,6 +1299,9 @@ void shuffle2(double *array, double *array2, location * locations, size_t n) double t2 = array2[j]; array2[j] = array2[i]; array2[i] = t2; + double t3 = array3[j]; + array3[j] = array3[i]; + array3[i] = t3; double xtemp = locations->x[j]; locations->x[j] = locations->x[i]; locations->x[i] = xtemp; @@ -1137,34 +1313,32 @@ void shuffle2(double *array, double *array2, location * locations, size_t n) } } -void theta_parser(double *initial_theta, double *target_theta, double *starting_theta, - char *ikernel, char *kernel, double *lb, - double *up, int test, int num_params) - //! Parse initial_theta, target_theta, starting_theta, inputs - /*! - * Returns initial_theta, starting_theta, target_theta. - * @param[out] initial_theta: initial_theta Vector with three parameter (Variance, Range, Smoothness) - that is used to to generate the Covariance Matrix and initial Z vector. - * @param[out] starting_theta: theta Vector with three parameter (Variance, Range, Smoothness) - that is used to to generate the Covariance Matrix of the first MLE iteration. - * @param[out] target_theta: target theta Vector with three parameter (Variance, Range, Smoothness) unknown theta parameter should be shown as '?'. - * @param[in] ikernel: initial_theta Vector as string. - * @param[in] kernel: target_theta Vector as string. - * @param[in] lb: optimization lower bounds vector ( lb_1, lb_2, lb_3). - * @param[in] up: optimization upper bounds vector ( ub_1, ub_2, ub_3). - * @param[in] test: if test=1 ->test running mode, test=0-> real running mode. - * */ +void theta_parser(double* initial_theta, double* target_theta, double* starting_theta, + char *ikernel, char *kernel, double* lb, + double* up, int test, int num_params) +//! Parse initial_theta, target_theta, starting_theta, inputs +/*! + * Returns initial_theta, starting_theta, target_theta. + * @param[out] initial_theta: initial_theta Vector with three parameter (Variance, Range, Smoothness) + that is used to to generate the Covariance Matrix and initial Z vector. + * @param[out] starting_theta: theta Vector with three parameter (Variance, Range, Smoothness) + that is used to to generate the Covariance Matrix of the first MLE iteration. + * @param[out] target_theta: target theta Vector with three parameter (Variance, Range, Smoothness) unknown theta parameter should be shown as '?'. + * @param[in] ikernel: initial_theta Vector as string. + * @param[in] kernel: target_theta Vector as string. + * @param[in] lb: optimization lower bounds vector ( lb_1, lb_2, lb_3). + * @param[in] up: optimization upper bounds vector ( ub_1, ub_2, ub_3). + * @param[in] test: if test=1 ->test running mode, test=0-> real running mode. + * */ { int i = 0; - // if (strcmp (initial_theta, "") != 0) + theta_parser2(initial_theta, ikernel, num_params); theta_parser2(target_theta, kernel, num_params); - for(i = 0; i < num_params; i++) - { - if(target_theta[i] != -1) - { + for (i = 0; i < num_params; i++) { + if (target_theta[i] != -1) { lb[i] = target_theta[i]; up[i] = target_theta[i]; starting_theta[i] = target_theta[i]; @@ -1173,15 +1347,15 @@ void theta_parser(double *initial_theta, double *target_theta, double *starting_ } -void init_optimizer( nlopt_opt * opt, double *lb, double *up, double tol) - //! Initialize the NLOPT optimizer - /*! - * Returns nlopt_opt object. - * @param[in] lb: optimization lower bounds vector ( lb_1, lb_2, lb_3). - * @param[in] up: optimization upper bounds vector ( ub_1, ub_2, ub_3). - * @param[in] tol: a tolerance that is used for the purpose of stopping criteria only. - * @param[out] opt: nlopt_opt object. - * */ +void init_optimizer(nlopt_opt *opt, double* lb, double* up, double tol) +//! Initialize the NLOPT optimizer +/*! + * Returns nlopt_opt object. + * @param[in] lb: optimization lower bounds vector ( lb_1, lb_2, lb_3). + * @param[in] up: optimization upper bounds vector ( ub_1, ub_2, ub_3). + * @param[in] tol: a tolerance that is used for the purpose of stopping criteria only. + * @param[out] opt: nlopt_opt object. + * */ { //initalizing opt library nlopt_set_lower_bounds(*opt, lb); @@ -1189,42 +1363,45 @@ void init_optimizer( nlopt_opt * opt, double *lb, double *up, double tol) nlopt_set_ftol_abs(*opt, tol); } -void print_summary(int test, int N, int ncores, int gpus, int ts, int lts, char *computation, int zvecs, int p_grid, int q_grid, int precision) - //! print the summary of MLE inputs. +void print_summary(int test, int N, int ncores, int gpus, int ts, int lts, char *computation, int zvecs, int p_grid, + int q_grid, int precision) +//! print the summary of MLE inputs. { #if defined(CHAMELEON_USE_MPI) if ( MORSE_My_Mpi_Rank() == 0 ) { #endif - fprintf(stderr,"********************SUMMARY**********************\n"); - if(test == 0) - fprintf(stderr,"#Execution Mode: Real Dataset\n"); - else - fprintf(stderr,"#Synthetic Dataset\n"); - fprintf(stderr,"Number of Locations: %d\n", N); - fprintf(stderr,"#Threads per node: %d\n", ncores); - fprintf(stderr,"#GPUs: %d\n", gpus); - if(precision ==0) - fprintf(stderr,"#Double Precision!\n"); - else if(precision ==1) - fprintf(stderr,"#Single Precision!\n"); - else if(precision == 2) - fprintf(stderr,"#Single/Double Precision!\n"); - if (strcmp (computation, "exact") == 0 || strcmp (computation, "diag_approx") == 0) - fprintf(stderr,"#Dense Tile Size: %d\n", ts); - else - fprintf(stderr,"LR Tile Size: %d\n", lts); - fprintf(stderr,"#%s computation\n", computation); - fprintf(stderr,"#Obervation Vectors (Z): %d\n", zvecs); - fprintf(stderr,"p=%d, q=%d\n", p_grid, q_grid); - fprintf(stderr,"***************************************************\n"); + fprintf(stderr, "********************SUMMARY**********************\n"); + if (test == 0) + fprintf(stderr, "#Execution Mode: Real Dataset\n"); + else + fprintf(stderr, "#Synthetic Dataset\n"); + fprintf(stderr, "Number of Locations: %d\n", N); + fprintf(stderr, "#Threads per node: %d\n", ncores); + fprintf(stderr, "#GPUs: %d\n", gpus); + if (precision == 0) + fprintf(stderr, "#Double Precision!\n"); + else if (precision == 1) + fprintf(stderr, "#Single Precision!\n"); + else if (precision == 2) + fprintf(stderr, "#Single/Double Precision!\n"); + if (strcmp(computation, "exact") == 0 || strcmp(computation, "diag_approx") == 0) + fprintf(stderr, "#Dense Tile Size: %d\n", ts); + else + fprintf(stderr, "LR Tile Size: %d\n", lts); + fprintf(stderr, "#%s computation\n", computation); + fprintf(stderr, "#Obervation Vectors (Z): %d\n", zvecs); + fprintf(stderr, "p=%d, q=%d\n", p_grid, q_grid); + fprintf(stderr, "***************************************************\n"); #if defined(CHAMELEON_USE_MPI) } #endif } -int print_result(MLE_data *data, double *starting_theta, int N, int zvecs, int ncores, int ts, int test, double *initial_theta, char *computation, int p_grid, int q_grid, double final_loglik, double prediction_error) +int print_result(MLE_data *data, double* starting_theta, int N, int zvecs, int ncores, int ts, int test, + double* initial_theta, char *computation, int p_grid, int q_grid, double final_loglik, + double prediction_error) //! print results (only for testing accuracy should be removed in release) { int num_params; @@ -1233,250 +1410,144 @@ int print_result(MLE_data *data, double *starting_theta, int N, int zvecs, int n { #endif - if(strcmp(data->kernel_fun, "univariate_matern_stationary") == 0 || - strcmp(data->kernel_fun, "univariate_pow_exp_stationary") == 0) - num_params = 3; - else if(strcmp(data->kernel_fun, "univariate_matern_nuggets_stationary") == 0) - num_params = 4; - else if(strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) - num_params = 9; - else if(strcmp(data->kernel_fun, "bivariate_matern_flexible") == 0) - num_params = 11; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0) - num_params = 6; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0) - num_params = 6; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) - num_params = 6; - else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) - num_params = 6; - else if(strcmp(data->kernel_fun, "univariate_spacetime_matern_stationary") == 0) - num_params = 7; - else - { - fprintf(stderr,"Choosen kernel is not exist(7)!\n"); - fprintf(stderr, "Called function is: %s\n",__func__); - exit(0); - } - //num_params = strcmp(data->kernel_fun, "stationary_kernel") == 0? 3 : 9; - printf("********************SUMMARY*****************************\n"); - printf("#Total Number of Iterations=%d\n",data->iter_count); - printf("#Total Optimization Time= %6.2f\n", data->total_exec_time); - printf("#Found Maximum at ("); - int i=0; - if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0 || strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) - { + if (strcmp(data->kernel_fun, "univariate_matern_stationary") == 0 || + strcmp(data->kernel_fun, "univariate_pow_exp_stationary") == 0) + num_params = 3; + else if (strcmp(data->kernel_fun, "univariate_matern_nuggets_stationary") == 0) + num_params = 4; + else if (strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) + num_params = 9; + else if (strcmp(data->kernel_fun, "bivariate_matern_flexible") == 0) + num_params = 11; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0) + num_params = 6; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0) + num_params = 6; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) + num_params = 6; + else if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) + num_params = 6; + else if (strcmp(data->kernel_fun, "univariate_spacetime_matern_stationary") == 0) + num_params = 7; + else if (strcmp(data->kernel_fun, "bivariate_spacetime_matern_stationary") == 0) + num_params = 10; + else if (strcmp(data->kernel_fun, "trivariate_matern_parsimonious") == 0 || + strcmp(data->kernel_fun, "trivariate_matern_parsimonious_profile") == 0) + num_params = 10; + else if (strcmp(data->kernel_fun, "univariate_matern_non_stat") == 0) + num_params = 8; + else if (strcmp(data->kernel_fun, "univariate_matern_non_gaussian") == 0 || + strcmp(data->kernel_fun, "univariate_exp_non_gaussian") == 0) + num_params = 6; + else { + fprintf(stderr, "Choosen kernel is not exist(7)!\n"); + fprintf(stderr, "Called function is: %s\n", __func__); + exit(0); + } + //num_params = strcmp(data->kernel_fun, "stationary_kernel") == 0? 3 : 9; + printf("********************SUMMARY*****************************\n"); + printf("#Total Number of Iterations=%d\n", data->iter_count); + printf("#Total Optimization Time= %6.2f\n", data->total_exec_time); + printf("#Found Maximum at ("); + int i = 0; + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { + printf("%2.6f, %2.6f,", data->variance1, data->variance2); + i = 2; + } else if (strcmp(data->kernel_fun, "trivariate_matern_parsimonious_profile") == 0) { + printf("%2.6f, %2.6f, %2.6f,", data->variance1, data->variance2, data->variance3); + i = 3; + } else + i = 0; + + for (; i < num_params - 1; i++) + printf("%0.8f, ", starting_theta[i]); + printf("%0.8f", starting_theta[i]); + printf(") \n"); + + printf("#Number of Locations: %d\n", results.problem_size); + printf("#Computation: %s\n", results.computation); + printf("#Kernel: %s\n", results.kernel); + printf("#Dataset: %s\n", results.ds_type); + printf("#Precision: %s\n", results.precision); + printf("#Sample: %d\n", results.z_sample); + printf("#Dense tile size: %d\n", results.dense_ts); + printf("#LR tile size (if used): %d\n", results.lr_ts); + printf("#LR accuracy/max_rank (if used): %d/%d\n", results.lr_acc, results.lr_maxrank); + printf("#CPU cores per node: %d\n", results.ncores); + printf("#GPUs per node: %d\n", results.ngpus); + printf("#p_grid: %d, q_grid: %d\n", results.p, results.q); + printf("***************************************************\n\n"); + + if (data->log == 1) { + + fprintf(data->pFileLog, "Total Number of Iterations=%d\n", data->iter_count); + fprintf(data->pFileLog, "Total Optimization Time= %6.2f secs\n", data->total_exec_time); + fprintf(data->pFileLog, "Found Maximum at ("); + if (strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0 || + strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) { printf("%2.6f, %2.6f,", data->variance1, data->variance2); i = 2; - } - else + } else if (strcmp(data->kernel_fun, "trivariate_matern_parsimonious_profile") == 0) { + printf("%2.6f, %2.6f, %2.6f,", data->variance1, data->variance2, data->variance3); + i = 3; + } else i = 0; - for(;ilog == 1) - { - - fprintf(data->pFileLog,"Total Number of Iterations=%d\n", data->iter_count); - fprintf(data->pFileLog,"Total Optimization Time= %6.2f secs\n", data->total_exec_time); - fprintf(data->pFileLog,"Found Maximum at ("); - if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0 || strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) - { - printf("%2.6f, %2.6f,", data->variance1, data->variance2); - i = 2; - } - else - i = 0; + for (; i < num_params; i++) + fprintf(data->pFileLog, "%g, ", starting_theta[i]); + fprintf(stderr, ")\n"); + } - for(;ipFileLog,"%g, ", starting_theta[i]); - fprintf(stderr,")\n"); - } + results.time_per_iteration = data->avg_exec_time_per_iter / data->iter_count; + results.flops_per_iteration = data->avg_flops_per_iter / data->iter_count; + results.total_mle_time = data->avg_exec_time_per_iter; - results.time_per_iteration = data->avg_exec_time_per_iter/data->iter_count; - results.flops_per_iteration = data->avg_flops_per_iter/data->iter_count; - results.total_mle_time = data->avg_exec_time_per_iter; + FILE *pFile; + pFile = fopen("results.log", "a"); - FILE *pFile; - pFile = fopen("results.log","a"); + if (pFile == NULL) { + printf("Cannot access the results path(3)\n"); + return -1; + } - if(pFile == NULL) { - printf("Cannot access the results path(3)\n"); - return -1; - } + fprintf(pFile, "%d ", results.problem_size); + fprintf(pFile, "%s(", results.computation); + fprintf(pFile, "%d) ", results.lr_acc); + + for (int i = 0; i < results.num_params; i++) + fprintf(pFile, "%6.6f ", results.initial_theta[i]); + + for (int i = 0; i < results.num_params; i++) + fprintf(pFile, "%6.6f ", results.estimated_theta[i]); + + fprintf(pFile, "%6.6f ", results.final_loglik); + fprintf(pFile, "%6.6f ", results.time_per_iteration); + fprintf(pFile, "%6.6f ", results.flops_per_iteration); + fprintf(pFile, "%6.6f ", results.total_mle_time); + + fprintf(pFile, "%6.6f ", results.mse_pred1); + fprintf(pFile, "%6.6f ", results.mse_pred2); + fprintf(pFile, "%6.6f ", results.mse_pred); + fprintf(pFile, "%6.4e ", results.trace_pred_sum); + fprintf(pFile, "%6.4e ", results.trace_pred_mean); + fprintf(pFile, "%6.6f ", results.total_pred_time); + fprintf(pFile, "%6.6f ", results.total_pred_flops); + + fprintf(pFile, "%6.6f ", results.mloe); + fprintf(pFile, "%6.6f ", results.mmom); + fprintf(pFile, "%s ", results.mloe_exec); + fprintf(pFile, "%6.2f ", results.total_mloe_mmom_time); + fprintf(pFile, "%6.2f ", results.matrix_gen_mloe_mmom_time); + fprintf(pFile, "%6.2f ", results.cho_fact_mloe_mmom_time); + fprintf(pFile, "%6.2f ", results.loop_mloe_mmom_time); + fprintf(pFile, "%6.2f ", results.total_mloe_mmom_flops); + fprintf(pFile, "%6.8f ", results.fisher_00); + fprintf(pFile, "%6.8f ", results.fisher_11); + fprintf(pFile, "%6.8f ", results.fisher_22); + fprintf(pFile, "%6.2f\n\n", results.fisher_time); - fprintf(pFile, "%d ", results.problem_size); - fprintf(pFile, "%s ", results.computation); - fprintf(pFile, "%s ", results.kernel); - fprintf(pFile, "%s ", results.ds_type); - fprintf(pFile, "%s ", results.precision); - fprintf(pFile, "%d ", results.z_sample); - fprintf(pFile, "%d ", results.dense_ts); - fprintf(pFile, "%d ", results.lr_ts); - fprintf(pFile, "%d ", results.lr_acc); - fprintf(pFile, "%d ", results.lr_maxrank); - fprintf(pFile, "%d ", results.ncores); - fprintf(pFile, "%d ", results.ngpus); - fprintf(pFile, "%d ", results.p); - fprintf(pFile, "%d ", results.q); - - for(int i=0; iasync, data->obsFPath, data->total_exec_time, data->avg_exec_time_per_iter, data->avg_flops_per_iter, data->precision, data->diag_thick, data->final_loglik, N); - - - - // char str[80]; - // char buf[12]; - // if(strcmp(data->kernel_fun, "univariate_matern_stationary") == 0) - // strcpy(str, "u-station"); - // else if(strcmp(data->kernel_fun, "univariate_pow_exp_stationary") == 0) - // strcpy(str, "u-pow-exp-station"); - // else if(strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) - // strcpy(str, "u-non-station"); - // else if(strcmp(data->kernel_fun, "bivariate_matern_flexible") == 0) - // strcpy(str, "b-matern-flex"); - // else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0) - // strcpy(str, "b-matern-pars"); - // else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0) - // strcpy(str, "b-matern-pars2"); - // else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0) - // strcpy(str, "b-matern-pars-pro"); - // else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) - // strcpy(str, "b-matern-pars2-pro"); - - // strcat(str, "-"); - // strcat(str, "theta-"); - // strcat(str, data->computation); - // strcat(str, "-"); - // if(strcmp (data->computation, "exact") == 0) - // { - - // sprintf(buf, "%d", data->diag_thick); - // strcat(str, buf); - // strcat(str, "-0-0-"); - // } - // else if(strcmp (data->computation, "lr_approx") == 0) - // { - // strcat(str, "0-"); - // sprintf(buf, "%d", data->hicma_acc); - // strcat(str, buf); - // strcat(str, "-"); - // sprintf(buf, "%d", data->hicma_maxrank); - // strcat(str, buf); - // strcat(str, "-"); - // } - // else if (strcmp (data->computation, "diag_approx") == 0) - // { - // sprintf(buf, "%d", data->diag_thick); - // strcat(str, buf); - // strcat(str, "-0-0-"); - // } - - // if(data->async==0) - // strcat(str, "syn-"); - // else - // strcat(str, "asyn-"); - // if(data->precision == 0) - // strcat(str, "d_prec-"); - // else if(data->precision ==1) - // strcat(str, "s_prec-"); - // else if(data->precision == 2) - // { - // strcat(str, "sd_prec-"); - // } - // - // if(strcmp(data->locsFPath,"") == 0) - // { - // for(int i=0; i<6; i++) - // { - - // sprintf(buf, "%0.3f-", initial_theta[i]); - // strcat(str, buf); - // } - // } - // else - // { - // strcat(str, "real-"); - // } - - // sprintf(buf, "%d", N); - // strcat(str, buf); - // strcat(str, ".txt"); - - // printf("%s\n", str); - //exit(0); - // if(strcmp(data->kernel_fun, "univariate_matern_stationary") == 0 || strcmp(data->kernel_fun, "univariate_pow_exp_stationary") == 0) - // num_params = 3; - // else if(strcmp(data->kernel_fun, "univariate_matern_non_stationary") == 0) - // num_params = 9; - // else if(strcmp(data->kernel_fun, "bivariate_matern_flexible") == 0) - // num_params = 11; - // else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious") == 0) - // num_params = 6; - // else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious2") == 0) - // num_params = 6; - // else if(strcmp(data->kernel_fun, "bivariate_matern_parsimonious_profile") == 0 || strcmp(data->kernel_fun, "bivariate_matern_parsimonious2_profile") == 0) - // { - // starting_theta[0] = data->variance1; - // starting_theta[1] = data->variance2; - // num_params = 6; - // } - // else - // { - // fprintf(stderr,"Choosen kernel is not exist(5)!\n"); - // fprintf(stderr, "Called function is: %s\n",__func__); - // exit(0); - // } - //num_params = strcmp(data->kernel_fun, "stationary_kernel") == 0? 3 : 9; - // write_to_thetafile(str, starting_theta, num_params, zvecs, data->avg_exec_time_per_iter,data->iter_count, prediction_error, data->mloe, data->mmom ); - fclose(pFile); + fclose(pFile); #if defined(CHAMELEON_USE_MPI) } #endif @@ -1484,14 +1555,13 @@ int print_result(MLE_data *data, double *starting_theta, int N, int zvecs, int n double cWtime(void) - //! get time +//! get time { struct timeval tp; gettimeofday(&tp, NULL); return tp.tv_sec + 1e-6 * tp.tv_usec; } -//void readlocfile(char* loc_file, int n, location* l1) //! Read real location file /*! * Returns locations l1. @@ -1499,44 +1569,19 @@ double cWtime(void) * @param[in] n : number of spatial locations (observations). * @param[out] l1 : location struct with (x,y) locations. */ -/*{ - FILE * fp; - char * line = NULL; - size_t len = 0; - ssize_t read; - char * pch; - int i=0; - fp = fopen(loc_file, "r"); - if (fp == NULL) - { - printf("cannot read locations file: %s\n", loc_file); - exit(EXIT_FAILURE); - } - while ((read = getline(&line, &len, fp)) != -1 && i < n) { - pch = strtok (line,","); - while (pch != NULL) - { - l1->x[i] = atof(pch); - pch = strtok (NULL, ","); - l1->y[i] = atof(pch); - pch = strtok (NULL, ","); - } - i++; - } - - fclose(fp); - } - */ -void write_prediction_result(char * path, int matrix_size,int no_missing, double MSE1, double MSE2, double MSE, double solve_time, double flops) - //! write prediction results (only for testing accuracy should be removed in release). + +void +write_prediction_result(char *path, int matrix_size, int no_missing, double MSE1, double MSE2, double MSE3, double MSE, + double solve_time, double flops) +//! write prediction results (only for testing accuracy should be removed in release). { FILE *pFile; - pFile = fopen(path,"a"); + pFile = fopen(path, "a"); - if(pFile == NULL) { + if (pFile == NULL) { - fprintf(stderr,"Cannot access the results path(2)\n"); + fprintf(stderr, "Cannot access the results path(2)\n"); exit(0); } @@ -1544,214 +1589,73 @@ void write_prediction_result(char * path, int matrix_size,int no_missing, double fprintf(pFile, "%d\t", no_missing); fprintf(pFile, "%f\t", MSE1); fprintf(pFile, "%f\t", MSE2); + fprintf(pFile, "%f\t", MSE3); fprintf(pFile, "%f\t", MSE); fprintf(pFile, "%6.2f secs\t", solve_time); - fprintf(pFile, "%6.2f Gflops\n", flops); + fprintf(pFile, "%6.2f Gflops\n", flops); fclose(pFile); - } // check if the file exist or not int doesFileExist(const char *filename) - /*! variables from argument - * Returns 0 if file not exist and 1 if file exist. - * @param[in] filename: file path. - */ +/*! variables from argument + * Returns 0 if file not exist and 1 if file exist. + * @param[in] filename: file path. + */ { struct stat st; int result = stat(filename, &st); return result == 0; } -void init_log (MLE_data * data) - //! init and open log files if log==1 - /*! - * Returns MLE_data struct with new log files. - * @param[out] data: MLE_data struct with different MLE inputs. - */ +void init_log(MLE_data *data) +//! init and open log files if log==1 +/*! + * Returns MLE_data struct with new log files. + * @param[out] data: MLE_data struct with different MLE inputs. + */ { #if defined(CHAMELEON_USE_MPI) if ( MORSE_My_Mpi_Rank() == 0 ) { #endif - data->pFileLog = fopen(data->nFileLog, "w+"); - fprintf (data->pFileLog, "\t\tlog file is generated by ExaGeoStat application\n"); - fprintf (data->pFileLog, "\t\t============================================\n"); + data->pFileLog = fopen(data->nFileLog, "w+"); + fprintf(data->pFileLog, "\t\tlog file is generated by ExaGeoStat application\n"); + fprintf(data->pFileLog, "\t\t============================================\n"); #if defined(CHAMELEON_USE_MPI) } #endif } -void finalize_log (MLE_data * data) - //! finalize and close log files if log==1 - /*! - * Returns MLE_data struct with new log files. - * @param[out] data: MLE_data struct with different MLE inputs. - */ +void finalize_log(MLE_data *data) +//! finalize and close log files if log==1 +/*! + * Returns MLE_data struct with new log files. + * @param[out] data: MLE_data struct with different MLE inputs. + */ { #if defined(CHAMELEON_USE_MPI) if ( MORSE_My_Mpi_Rank() == 0 ) { #endif - fclose(data->pFileLog); + fclose(data->pFileLog); #if defined(CHAMELEON_USE_MPI) } #endif } -/* -//check accuracy -acc_struct check_acc(MLE_data *data, int n, int ts) -{ -#if defined(EXAGEOSTAT_USE_HICMA) -int main_print_index = 0; -int print_mat = 0; -int M = n; -int N = n /ts * data->hicma_maxrank; -int MB = ts; -int main_print_mat = 0; -int LDA = M; -int check = 1; -int set_diag = 0; -double diagVal = M; - -acc_struct acc; -MORSE_desc_t *descAD = data->hicma_descCD; -MORSE_desc_t *descAUV = data->hicma_descCUV; -MORSE_desc_t *descDense = data->descC; -MORSE_desc_t *descArk = data->hicma_descCrk; -double *Adense2 = data->Adense2; -double *Adense = data->Adense; -double *Ahicma = (double *) malloc(n * n * sizeof(double)); -double *AhicmaT = (double *) malloc(n * n * sizeof(double)); - - -HICMA_zuncompress(MorseLower, descAUV, descDense, descArk); -HICMA_zdiag_vec2mat(descAD, descDense); -//PASTE_CODE_FREE_MATRIX( descAD ); //@KADIRLBL001 -descAD = descDense; // descAD was only diagonals. -// After this line, descAD is dense matrix containing approximate L -// So no need to adapt below code for descAD containg only diagonals. - -////PROGRESS("checking accuracy"); -if( MORSE_My_Mpi_Rank()==0){ -#ifndef COMPLEX -double one = 1.0, zero = 0.0, minusone = -1.0, diagVal = M; -if(main_print_mat){printf("data->Adense2\n");/*printmat(data->Adense2,M,M,LDA,MB, MB);*/ /*} - double* swork = calloc(2*M, sizeof(double)); - double normA; - {size_t i, j; - for(j = 0; j < M; j++){ - for(i = 0; i < j; i++){ - Adense2[j*LDA+i] = zero; - } - } - } - -//PROGRESS("normaA started"); -HICMA_znormest(M, M, data->Adense2, &normA, swork); -// Ahicma: result of TLR potrf -MORSE_Tile_to_Lapack(descAD, Ahicma, n); -//PASTE_TILE_TO_LAPACK( descAD, Ahicma, check, double, LDA, M ); -{size_t i, j; -for(j = 0; j < M; j++){ -for(i = 0; i < j; i++){ -Ahicma[j*LDA+i] = zero; -} -} -} - -if(set_diag){size_t j; for(j = 0; j < M; j++){ Ahicma[j*LDA+j] = diagVal; } } -//if(main_print_mat){printf("Ahicma\n");printmat(Ahicma,M,M,LDA, MB, MB);} - -//LAPACKE_dpotrf(LAPACK_COL_MAJOR, 'L', M, Ahicma, LDA); -// AhicmaT: transpose of Ahicma -//PROGRESS("copy descAd into AhicmaT started"); - -MORSE_Tile_to_Lapack(descAD, AhicmaT, n); -//PASTE_TILE_TO_LAPACK( descAD, AhicmaT, check, double, LDA, M ); - -{size_t i, j; -for(j = 0; j < M; j++){ -for(i = 0; i < j; i++){ -data->Adense[j*LDA+i] = zero; -} -} -} - - -//if(main_print_mat){printf("Ahicma-upperzero\n");printmat(Ahicma,M,M,LDA, MB, MB);} -//PROGRESS("Transpose A started"); -//LAPACKE_dge_trans(LAPACK_COL_MAJOR, M, M, Ahicma, LDA, AhicmaT, LDA); -//if(main_print_mat){printf("AhicmaT\n");printmat(AhicmaT,M,M,LDA, MB, MB);} -//PROGRESS("TRMM started"); -cblas_dtrmm (CblasColMajor, CblasLeft, CblasLower, CblasNoTrans, CblasNonUnit, M, M, one, Ahicma, LDA, AhicmaT, LDA); -//if(main_print_mat){printf("Ahicma*AhicmaT\n");printmat(AhicmaT,M,M,LDA, MB, MB);} -//double tmpnorm;normest(M, M, AhicmaT, &tmpnorm, swork);printf("tmpnorm:%e\n",tmpnorm); -{size_t i, j; -for(j = 0; j < M; j++){ -for(i = 0; i < j; i++){ -AhicmaT[j*LDA+i] = zero; -} -} -} - -size_t nelm = M * M; -if(main_print_mat)printf("nelm:%zu M:%d N:%d\n", nelm, M, N); -//PROGRESS("DAXPY started"); -cblas_daxpy(nelm, minusone, AhicmaT, 1, data->Adense, 1); -//if(main_print_mat){printf("data->Adense-(Ahicma*AhicmaT)\n");printmat(data->Adense,M,M,LDA, MB, MB);} - - -//PROGRESS("Norm of difference started"); -HICMA_znormest(M, M, data->Adense, &acc.normDenseAppDiff, swork); -acc.accuracyDenseAppDiff = acc.normDenseAppDiff/normA; -acc.normA = normA; -//acc.normDenseAppDiff = normDenseAppDiff; -//printf("normA:%.2e normDenseAppdiff:%.2e Accuracy: %.2e\n", normA, normDenseAppDiff, accuracyDenseAppDiff); -#endif -} else { - - MORSE_Tile_to_Lapack(descAD, Ahicma, n); - MORSE_Tile_to_Lapack(descAD, AhicmaT, n); - - //PASTE_TILE_TO_LAPACK( descAD, Ahicma, check, double, LDA, M ); - //PASTE_TILE_TO_LAPACK( descAD, AhicmaT, check, double, LDA, M ); -} -//PROGRESS("checking accuracy is finished"); - - -// PASTE_CODE_FREE_MATRIX( descAUV ); -//PROGRESS("descAUV is freed"); -//if(check == 0) { // If there is no check, then descAD and descDense are different. Refer to @KADIRLBL001 -// PASTE_CODE_FREE_MATRIX( descAD ); -//PROGRESS("descAD is freed"); -// } -// PASTE_CODE_FREE_MATRIX( descArk ); -//PROGRESS("descArk is freed"); - -// PASTE_CODE_FREE_MATRIX( descDense ); -//PROGRESS("descDense is freed"); -//PROGRESS("freed descs"); -return acc; -#endif -} -*/ - -void split_data(MLE_data * data, location *locations, double *Z, double *Zactual, int *N, int nZmiss) -{ +void split_data(MLE_data *data, location *locations, double* Z, double* Zactual, int *N, int nZmiss) { int i = 0; - int nZobs = *N-nZmiss; + int nZobs = *N - nZmiss; shuffle(Z, locations, *N); - data->l1.x = (double *) malloc(nZobs * sizeof(double)); - data->l1.y = (double *) malloc(nZobs * sizeof(double)); - data->lmiss.x = (double *) malloc(nZmiss * sizeof(double)); - data->lmiss.y = (double *) malloc(nZmiss * sizeof(double)); + data->l1.x = (double* ) malloc(nZobs * sizeof(double)); + data->l1.y = (double* ) malloc(nZobs * sizeof(double)); + data->lmiss.x = (double* ) malloc(nZmiss * sizeof(double)); + data->lmiss.y = (double* ) malloc(nZmiss * sizeof(double)); - for( i = 0; i < nZobs; i++) - { + for (i = 0; i < nZobs; i++) { data->l1.x[i] = locations->x[i]; data->l1.y[i] = locations->y[i]; } @@ -1759,8 +1663,7 @@ void split_data(MLE_data * data, location *locations, double *Z, double *Zactual data->lobs.x = data->l1.x; data->lobs.y = data->l1.y; - for( i = 0; i < nZmiss; i++) - { + for (i = 0; i < nZmiss; i++) { data->lmiss.x[i] = locations->x[i + nZobs]; data->lmiss.y[i] = locations->y[i + nZobs]; Zactual[i] = Z[i + nZobs]; @@ -1769,42 +1672,39 @@ void split_data(MLE_data * data, location *locations, double *Z, double *Zactual } -void pick_random_points_noshuffle(MLE_data *data, double *Zobs, double *Zactual, int nZmiss, int nZobs, int N) -{ +void pick_random_points_noshuffle(MLE_data *data, double* Zobs, double* Zactual, int nZmiss, int nZobs, int N) { //initialization location l; location *lmiss; location *lobs; - double *Z; + double* Z; int i = 0; //memory allocation - Z = (double *) malloc(N * sizeof(double)); - l.x = (double *) malloc(N/2 * sizeof(double)); - l.y = (double *) malloc(N/2 * sizeof(double)); + Z = (double* ) malloc(N * sizeof(double)); + l.x = (double* ) malloc(N / 2 * sizeof(double)); + l.y = (double* ) malloc(N / 2 * sizeof(double)); //copy observed measurments MLE_get_zobs(data, Z, N); - for( i = 0; i < N/2 ; i++) - { - l.x[i]=data->l1.x[i]; - l.y[i]=data->l1.y[i]; + for (i = 0; i < N / 2; i++) { + l.x[i] = data->l1.x[i]; + l.y[i] = data->l1.y[i]; } - // shuffle(Z, &l, N); - for( i = 0; i < nZobs ; i++) - Zobs[i] = Z[nZmiss+i]; + for (i = 0; i < nZobs; i++) + Zobs[i] = Z[nZmiss + i]; - for ( i = 0; i < nZmiss; i++) + for (i = 0; i < nZmiss; i++) Zactual[i] = Z[i]; lmiss = &(data->lmiss); lobs = &(data->lobs); lmiss->x = l.x; lmiss->y = l.y; - lobs->x = &l.x[nZmiss]; - lobs->y = &l.y[nZmiss]; + lobs->x = &l.x[nZmiss]; + lobs->y = &l.y[nZmiss]; locations_obs_zsort_inplace(nZobs, lobs, Zobs); locations_obs_zsort_inplace(nZmiss, lmiss, Zactual); @@ -1812,47 +1712,42 @@ void pick_random_points_noshuffle(MLE_data *data, double *Zobs, double *Zactual, free(Z); } -void pick_random_points(MLE_data *data, double *Zobs, double *Zactual, int nZmiss, int nZobs, int N) -{ +void pick_random_points(MLE_data *data, double* Zobs, double* Zactual, int nZmiss, int nZobs, int N) { //initialization location l; location *lmiss; location *lobs; - double *Z; + double* Z; int i = 0; //memory allocation - Z = (double *) malloc(N * sizeof(double)); - l.x = (double *) malloc(N * sizeof(double)); - l.y = (double *) malloc(N * sizeof(double)); - + Z = (double* ) malloc(N * sizeof(double)); + l.x = (double* ) malloc(N * sizeof(double)); + l.y = (double* ) malloc(N * sizeof(double)); //copy observed measurments MLE_get_zobs(data, Z, N); - for( i = 0; i < N ; i++) - { - l.x[i]=data->l1.x[i]; - l.y[i]=data->l1.y[i]; + for (i = 0; i < N; i++) { + l.x[i] = data->l1.x[i]; + l.y[i] = data->l1.y[i]; } shuffle(Z, &l, N); - for( i = 0; i < nZobs ; i++) - Zobs[i] = Z[nZmiss+i]; + for (i = 0; i < nZobs; i++) + Zobs[i] = Z[nZmiss + i]; - for ( i = 0; i < nZmiss; i++) + for (i = 0; i < nZmiss; i++) Zactual[i] = Z[i]; - - lmiss = &(data->lmiss); lobs = &(data->lobs); lmiss->x = l.x; lmiss->y = l.y; - lobs->x = &l.x[nZmiss]; - lobs->y = &l.y[nZmiss]; + lobs->x = &l.x[nZmiss]; + lobs->y = &l.y[nZmiss]; locations_obs_zsort_inplace(nZobs, lobs, Zobs); locations_obs_zsort_inplace(nZmiss, lmiss, Zactual); @@ -1861,151 +1756,189 @@ void pick_random_points(MLE_data *data, double *Zobs, double *Zactual, int nZmis } -void pick_random_points2(MLE_data *data, double *Zobs, double *Zactual, int nZmiss, int nZobs, int N) -{ +void pick_random_points2(MLE_data *data, double* Zobs, double* Zactual, int nZmiss, int nZobs, int N) { //initialization location l; location *lmiss; location *lobs; - double *Z; - double *Z1; - double *Z2; + double* Z; + double* Z1; + double* Z2; int i = 0; int p = 2; - - - //memory allocation - Z = (double *) malloc(N * sizeof(double)); - l.x = (double *) malloc(N/p * sizeof(double)); - l.y = (double *) malloc(N/p * sizeof(double)); - Z1 = (double *) malloc(N * sizeof(double)); - Z2 = (double *) malloc(N * sizeof(double)); + Z = (double* ) malloc(N * sizeof(double)); + l.x = (double* ) malloc(N / p * sizeof(double)); + l.y = (double* ) malloc(N / p * sizeof(double)); + Z1 = (double* ) malloc(N * sizeof(double)); + Z2 = (double* ) malloc(N * sizeof(double)); //copy observed measurments MLE_get_zobs(data, Z, N); - double sum=0; - int j=0; - for(i=0;il1.x[i]; - l.y[i]=data->l1.y[i]; + for (i = 0; i < N / p; i++) { + l.x[i] = data->l1.x[i]; + l.y[i] = data->l1.y[i]; } - shuffle2(Z1, Z2, &l, N/p); - - + shuffle2(Z1, Z2, &l, N / p); //actual vector - j=0; - for( i = 0; i < nZmiss ; i++) - { - Zactual[j] =Z1[i]; - Zactual[j+1]=Z2[i]; - j+=2; + j = 0; + for (i = 0; i < nZmiss; i++) { + Zactual[j] = Z1[i]; + Zactual[j + 1] = Z2[i]; + printf("%f, %f, ---%f, %f\n", l.x[i], l.y[i], Z1[i], Z2[i]); + j += 2; } - // printf("nZmiss: %d, N:%d\n", nZmiss, N); //observation vector - j=0; - for( i = 0; i < nZobs ; i++) - { - Zobs[j]=Z1[nZmiss+i]; - Zobs[j+1]=Z2[nZmiss+i]; - j+=2; + j = 0; + for (i = 0; i < nZobs; i++) { + Zobs[j] = Z1[nZmiss + i]; + Zobs[j + 1] = Z2[nZmiss + i]; + j += 2; } - /* printf("nZobs=%d\n", nZobs); - for(i=0;i<2*nZmiss+1;i++) - { - printf("%f - %f - %f\n", Z1[i], Z2[i], Zactual[i]); - } - - exit(0); - */ - lmiss = &(data->lmiss); lobs = &(data->lobs); lmiss->x = l.x; lmiss->y = l.y; - lobs->x = &l.x[nZmiss]; - lobs->y = &l.y[nZmiss]; + lobs->x = &l.x[nZmiss]; + lobs->y = &l.y[nZmiss]; //TODO: check why using them give wrong answer // locations_obs_zsort_inplace(nZobs, lobs, Zobs); // locations_obs_zsort_inplace(nZmiss, lmiss, Zactual); - // locations_obs_zsort_inplace(nZobs, lobs, &Zobs[nZobs/2]); - // locations_obs_zsort_inplace(nZmiss, lmiss, &Zactual[nZmiss/2]); - // free(Z); - free(Z1); free(Z2); + free(Z1); + free(Z2); } -void generate_interior_points(MLE_data *data, double *Zobs, double *Zactual, int nZmiss, int nZobs, int N) -{ + +void pick_random_points3(MLE_data *data, double* Zobs, double* Zactual, int nZmiss, int nZobs, int N) { //initialization location l; location *lmiss; location *lobs; - double *Z; + double* Z; + double* Z1; + double* Z2; + double* Z3; int i = 0; + int p = 3; - if(nZmiss >= nZobs) - { - fprintf(stderr,"Cannot generate missing locations larger than or equal the observed ones\n"); + //memory allocation + Z = (double* ) malloc(N * sizeof(double)); + l.x = (double* ) malloc(N / p * sizeof(double)); + l.y = (double* ) malloc(N / p * sizeof(double)); + Z1 = (double* ) malloc(N * sizeof(double)); + Z2 = (double* ) malloc(N * sizeof(double)); + Z3 = (double* ) malloc(N * sizeof(double)); + //copy observed measurments + MLE_get_zobs(data, Z, N); + + double sum = 0; + int j = 0; + for (i = 0; i < N; i += 3) { + Z1[j] = Z[i]; + Z2[j++] = Z[i + 1]; + Z3[j++] = Z[i + 2]; + } + + for (i = 0; i < N / p; i++) { + l.x[i] = data->l1.x[i]; + l.y[i] = data->l1.y[i]; + } + + shuffle3(Z1, Z2, Z3, &l, N / p); + + //actual vector + j = 0; + for (i = 0; i < nZmiss; i++) { + Zactual[j] = Z1[i]; + Zactual[j + 1] = Z2[i]; + Zactual[j + 2] = Z3[i]; + j += 3; + } + + //observation vector + j = 0; + for (i = 0; i < nZobs; i++) { + Zobs[j] = Z1[nZmiss + i]; + Zobs[j + 1] = Z2[nZmiss + i]; + Zobs[j + 2] = Z3[nZmiss + i]; + j += 3; + } + + lmiss = &(data->lmiss); + lobs = &(data->lobs); + lmiss->x = l.x; + lmiss->y = l.y; + lobs->x = &l.x[nZmiss]; + lobs->y = &l.y[nZmiss]; + + //TODO: check why using them give wrong answer + // locations_obs_zsort_inplace(nZobs, lobs, Zobs); + // locations_obs_zsort_inplace(nZmiss, lmiss, Zactual); + + free(Z1); + free(Z2); + free(Z3); +} + +void generate_interior_points(MLE_data *data, double* Zobs, double* Zactual, int nZmiss, int nZobs, int N) { + //initialization + location l; + location *lmiss; + location *lobs; + double* Z; + int i = 0; + + if (nZmiss >= nZobs) { + fprintf(stderr, "Cannot generate missing locations larger than or equal the observed ones\n"); return; } //memory allocation - Z = (double *) malloc(N * sizeof(double)); - l.x = (double *) malloc(N * sizeof(double)); - l.y = (double *) malloc(N * sizeof(double)); + Z = (double* ) malloc(N * sizeof(double)); + l.x = (double* ) malloc(N * sizeof(double)); + l.y = (double* ) malloc(N * sizeof(double)); //copy observed measurments MLE_get_zobs(data, Z, N); - - for( i = 0; i < N ; i++) - { - l.x[i]=data->l1.x[i]; - l.y[i]=data->l1.y[i]; + for (i = 0; i < N; i++) { + l.x[i] = data->l1.x[i]; + l.y[i] = data->l1.y[i]; } shuffle(Z, &l, N); - for( i = 0; i < nZobs ; i++) - Zobs[i] = Z[nZmiss+i]; - + for (i = 0; i < nZobs; i++) + Zobs[i] = Z[nZmiss + i]; lmiss = &(data->lmiss); - lobs = &(data->lobs); + lobs = &(data->lobs); - for (i =0; ix = l.x; lmiss->y = l.y; - lobs->x = &l.x[nZmiss]; - lobs->y = &l.y[nZmiss]; + lobs->x = &l.x[nZmiss]; + lobs->y = &l.y[nZmiss]; free(Z); } @@ -2013,10 +1946,12 @@ void generate_interior_points(MLE_data *data, double *Zobs, double *Zactual, int static double deg2rad(double deg) { return (deg * PI / 180); } + // This function converts radians to decimal degrees static double rad2deg(double rad) { return (rad * 180 / PI); } + /** * Returns the distance between two points on the Earth. * Direct translation from http://en.wikipedia.org/wiki/Haversine_formula @@ -2032,141 +1967,128 @@ static double distanceEarth(double lat1d, double lon1d, double lat2d, double lon lon1r = deg2rad(lon1d); lat2r = deg2rad(lat2d); lon2r = deg2rad(lon2d); - u = sin((lat2r - lat1r)/2); - v = sin((lon2r - lon1r)/2); + u = sin((lat2r - lat1r) / 2); + v = sin((lon2r - lon1r) / 2); return 2.0 * earthRadiusKm * asin(sqrt(u * u + cos(lat1r) * cos(lat2r) * v * v)); } static double calculateDistance(double x1, double y1, double x2, double y2, int distance_metric) { - if(distance_metric == 1) + if (distance_metric == 1) return distanceEarth(x1, y1, x2, y2); - return sqrt(pow((x2 - x1), 2) + pow((y2 - y1), 2)); + return sqrt(pow((x2 - x1), 2) + pow((y2 - y1), 2)); } - - -double core_matern_vector (double x0, double y0, double x1, double y1, double *localtheta, int distance_metric) { +double core_matern_vector(double x0, double y0, double x1, double y1, double* localtheta, int distance_metric) { int i, j; double expr = 0.0; double con = 0.0; double sigma_square = localtheta[0];// * localtheta[0]; - con = pow(2,(localtheta[2]-1)) * tgamma(localtheta[2]); - con = 1.0/con; + con = pow(2, (localtheta[2] - 1)) * tgamma(localtheta[2]); + con = 1.0 / con; con = sigma_square * con; - expr = calculateDistance(x0, y0, x1, y1, distance_metric)/localtheta[1]; - //printf("expr = %f\n", expr); - if(expr == 0) + expr = calculateDistance(x0, y0, x1, y1, distance_metric) / localtheta[1]; + if (expr == 0) return sigma_square /*+ 1e-4*/; else - return con*pow(expr, localtheta[2])*gsl_sf_bessel_Knu(localtheta[2],expr); // Matern Function + return con * pow(expr, localtheta[2]) * gsl_sf_bessel_Knu(localtheta[2], expr); // Matern Function } -void fwrite_array(int m, int n, int ld, double* arr, char* file){ - FILE* fp = fopen(file, "w"); - if(fp == NULL){ +void fwrite_array(int m, int n, int ld, double* arr, char *file) { + FILE *fp = fopen(file, "w"); + if (fp == NULL) { fprintf(stderr, "File %s cannot be opened to write\n", file); exit(1); } int i, j; fprintf(fp, "%d %d\n", m, n); - for(i = 0; i < m; i++){ - for(j = 0; j < n; j++){ - fprintf(fp, "%d\t", (int)arr[ld*j+i] ); + for (i = 0; i < m; i++) { + for (j = 0; j < n; j++) { + fprintf(fp, "%d\t", (int) arr[ld * j + i]); } - fprintf(fp, "\n" ); + fprintf(fp, "\n"); } fclose(fp); } -void print_array(int m, int n, int ld, double* arr, FILE* fp){ +void print_array(int m, int n, int ld, double* arr, FILE *fp) { int i, j; fprintf(fp, "%d %d\n", m, n); - for(i = 0; i < m; i++){ - for(j = 0; j < n; j++){ - fprintf(fp, "%d\t", (int)arr[ld*j+i] ); + for (i = 0; i < m; i++) { + for (j = 0; j < n; j++) { + fprintf(fp, "%d\t", (int) arr[ld * j + i]); } - fprintf(fp, "\n" ); + fprintf(fp, "\n"); } } + void checkpointing(char *path, int iter_count, double* theta, double loglik, int num_params) - //! write prediction results (only for testing accuracy should be removed in release). +//! write prediction results (only for testing accuracy should be removed in release). { FILE *pFile; - pFile = fopen(path,"a"); + pFile = fopen(path, "a"); - if(pFile == NULL) { + if (pFile == NULL) { - fprintf(stderr,"Cannot access the results path\n"); + fprintf(stderr, "Cannot access the results path\n"); exit(0); } fprintf(pFile, "%d ", iter_count); - for(int i=0; ilmiss; - location* lobs= &data->lobs; - double* mspe = (double *) malloc(3 * sizeof(double)); - for (j=0; jx[j]; - y2=lmiss->y[j]; - for(i=0; ix[i]; - y1=lobs->y[i]; - dij = calculateDistance( x1, y1, x2, y2, 0); - if(dij != 0) - { - sigma_1 += z_obs[i]/pow(dij, n); + location *lmiss = &data->lmiss; + location *lobs = &data->lobs; + double* mspe = (double* ) malloc(3 * sizeof(double)); + for (j = 0; j < nZmiss; j++) { + x2 = lmiss->x[j]; + y2 = lmiss->y[j]; + for (i = 0; i < nZobs; i++) { + x1 = lobs->x[i]; + y1 = lobs->y[i]; + dij = calculateDistance(x1, y1, x2, y2, 0); + if (dij != 0) { + sigma_1 += z_obs[i] / pow(dij, n); sigma_2 += 1.0 / pow(dij, n); } } - z_miss[j] = sigma_1/sigma_2; - if(j % 2 == 0 ) - error1 += pow((z_actual[j]-z_miss[j]), 2); + z_miss[j] = sigma_1 / sigma_2; + if (j % 2 == 0) + error1 += pow((z_actual[j] - z_miss[j]), 2); else - error2 += pow((z_actual[j]-z_miss[j]), 2); - error += pow((z_actual[j]-z_miss[j]), 2); + error2 += pow((z_actual[j] - z_miss[j]), 2); + error += pow((z_actual[j] - z_miss[j]), 2); sigma_1 = 0; sigma_2 = 0; } - mspe[0]=error/nZmiss; - mspe[1]=error1/(nZmiss/2); - mspe[2]=error2/(nZmiss/2); + mspe[0] = error / nZmiss; + mspe[1] = error1 / (nZmiss / 2); + mspe[2] = error2 / (nZmiss / 2); return mspe; } +int print_predicted_values(location *lmiss, double* Zactual, double* Zmiss, int nZmiss, int p) +//! print results (only for testing accuracy should be removed in release) + +{ + int i; + FILE *pFile; +#if defined(CHAMELEON_USE_MPI) + if ( MORSE_My_Mpi_Rank() == 0 ) + { +#endif + + char buffer[100]; + + time_t t = time(NULL); + struct tm *pp = localtime(&t); + + strftime(buffer, 100, "predicted_values_%B_%d_%Y_%T", pp); + + printf("%s\n", buffer); + + pFile = fopen(buffer, "w"); + + if (pFile == NULL) { + printf("Cannot access the path\n"); + return -1; + } + + fprintf(pFile, "( x , y ) ----> var:i (Z_actual, Z_predict)\n"); + int j = 0, k = 0; + for (int index = 0; index < nZmiss; index++) { + fprintf(pFile, "(%3.6f, %3.6f) ----> ", lmiss->x[index], lmiss->y[index]); + + for (k = 0; k < p - 1; k++) { + fprintf(pFile, "var:%d (%3.6f, %3.6f) - ", k, Zactual[j], Zmiss[j]); + j++; + } + + fprintf(pFile, "var:%d (%3.6f, %3.6f)\n", k, Zactual[j], Zmiss[j]); + j++; + } + fclose(pFile); +#if defined(CHAMELEON_USE_MPI) + } +#endif + return 0; +} diff --git a/misc/compute/flat_file.c b/misc/compute/flat_file.c index a71b295..a927cd7 100644 --- a/misc/compute/flat_file.c +++ b/misc/compute/flat_file.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,149 +11,165 @@ * * Auxiliary functions that are used to read and process flat files. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2018-11-11 + * @date 2022-11-09 * **/ #include "../include/flat_file.h" + //*************************************************************************************** -location* readLocsFile(char *locs_file, int n) - //! Read 2D locations from a given - /*! flatfile - * Returns location struct. - * @param[in] locs_file: 2D location file. - * @param[in] n : number of spatial locations. - * */ +location *readLocsFile(char *locs_file, int n) +//! Read 2D locations from a given +/*! flatfile + * Returns location struct. + * @param[in] locs_file: 2D location file. + * @param[in] n : number of spatial locations. + * */ { FILE *fp; int i = 0; char *line = NULL; - size_t len = 0; + size_t len = 0; ssize_t read; - char *pch; - location *locations; - + char *pch; + location *locations; fp = fopen(locs_file, "r"); - if (fp == NULL) - { + if (fp == NULL) { printf("cannot read locations file\n"); - printf("%s: \n",locs_file); + printf("%s: \n", locs_file); return NULL; - } - else - { + } else { //Allocate memory - locations = (location *) malloc(sizeof(location*)); - locations->x = (double *) malloc(n * sizeof(double)); - locations->y = (double *) malloc(n * sizeof(double)); + locations = (location *) malloc(sizeof(location)); + locations->x = (double* ) malloc(n * sizeof(double)); + locations->y = (double* ) malloc(n * sizeof(double)); } while ((read = getline(&line, &len, fp)) != -1) { pch = strtok(line, ","); - while (pch != NULL) - { + while (pch != NULL) { locations->x[i] = atof(pch); - pch = strtok (NULL, ","); + pch = strtok(NULL, ","); locations->y[i] = atof(pch); - pch = strtok (NULL, ","); + pch = strtok(NULL, ","); } i++; } fclose(fp); if (line) free(line); - // zsort_locations(n,locations); return locations; } - - -location* readLocsFile3d(char *locs_file, int n) - //! Read 2D locations from a given - /*! flatfile - * Returns location struct. - * @param[in] locs_file: 2D location file. - * @param[in] n : number of spatial locations. - * */ +location *readLocsFile3d(char *locs_file, int n) +//! Read 2D locations from a given +/*! flatfile + * Returns location struct. + * @param[in] locs_file: 2D location file. + * @param[in] n : number of spatial locations. + * */ { FILE *fp; int i = 0; char *line = NULL; - size_t len = 0; + size_t len = 0; ssize_t read; char *pch; location *locations; - fp = fopen(locs_file, "r"); - if (fp == NULL) - { + if (fp == NULL) { printf("cannot open location file%s\n", locs_file); exit(EXIT_FAILURE); - } - else - { + } else { //Allocate memory - locations = (location *) malloc(sizeof(location*)); - locations->x = (double *) malloc(n * sizeof(double)); - locations->y = (double *) malloc(n * sizeof(double)); - locations->z = (double *) malloc(n * sizeof(double)); + locations = (location *) malloc(sizeof(location)); + locations->x = (double* ) malloc(n * sizeof(double)); + locations->y = (double* ) malloc(n * sizeof(double)); + locations->z = (double* ) malloc(n * sizeof(double)); } while ((read = getline(&line, &len, fp)) != -1) { pch = strtok(line, ","); - while (pch != NULL) - { + while (pch != NULL) { locations->x[i] = atof(pch); - pch = strtok (NULL, ","); + pch = strtok(NULL, ","); locations->y[i] = atof(pch); - pch = strtok (NULL, ","); + pch = strtok(NULL, ","); locations->z[i] = atof(pch); - pch = strtok (NULL, ","); + pch = strtok(NULL, ","); } i++; } fclose(fp); if (line) free(line); - // zsort_locations(n,locations); return locations; } -double * readObsFile(char *obsfile, int n) - //! Read real observation file - /* Returns observations struct. - * @param[in] obsfile: observation file path. - * @param[in] n : number of spatial locations (observations). - * @param[out] streamdata: observations vector. - */ + +double* readObsFile(char *obsfile, int n) +//! Read real observation file +/* Returns observations vector. + * @param[in] obsfile: observation file path. + * @param[in] n : number of spatial locations (observations). + * @param[out] streamdata: observations vector. + */ { - FILE * fp; - char * line = NULL; - size_t len = 0; + FILE *fp; + char *line = NULL; + size_t len = 0; ssize_t read; - int count = 0; - - double *z_vec = (double *) malloc(n * sizeof(double)); + int count = 0; + double* z_vec = (double* ) malloc(n * sizeof(double)); fp = fopen(obsfile, "r"); - if (fp == NULL) - { + if (fp == NULL) { printf("readObsFile:cannot open observations file: %s\n", obsfile); exit(EXIT_FAILURE); } while ((read = getline(&line, &len, fp)) != -1) - z_vec[count++]=atof(line); + z_vec[count++] = atof(line); fclose(fp); free(line); - return z_vec; } + +double* readTimeFile(char *timefile, int n) +//! Read real time file (space-time modeling) +/* Returns time vector. + * @param[in] timefile: time file path. + * @param[in] n : number of spatial locations (observations). + * @param[out] streamdata: time vector. + */ +{ + FILE *fp; + char *line = NULL; + size_t len = 0; + ssize_t read; + int count = 0; + + double* time_vec = (double* ) malloc(n * sizeof(double)); + + fp = fopen(timefile, "r"); + if (fp == NULL) { + printf("readTimeFile:cannot open time file: %s\n", timefile); + exit(EXIT_FAILURE); + } + + while ((read = getline(&line, &len, fp)) != -1) + time_vec[count++] = atof(line); + + fclose(fp); + free(line); + + return time_vec; +} \ No newline at end of file diff --git a/misc/compute/nc_file.c b/misc/compute/nc_file.c index ab36f00..1ec6f83 100644 --- a/misc/compute/nc_file.c +++ b/misc/compute/nc_file.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,21 +11,22 @@ * * Auxiliary functions that are used to read and process netCDF files. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2018-11-11 + * @date 2022-11-09 * **/ #include "../include/nc_file.h" + //*************************************************************************************** int openFileNC(MLE_data *data, char *filename) - //!Open the NetCDF file. - /*! - * returns ncid: netCDF file identifier. - * @param[in] data: MLE_data struct with different MLE inputs. - * @param[in] filename: netCDF location file. - */ +//!Open the NetCDF file. +/*! + * returns ncid: netCDF file identifier. + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] filename: netCDF location file. + */ { VERBOSE("Open the given NetCDF file... "); @@ -34,24 +35,21 @@ int openFileNC(MLE_data *data, char *filename) printf("Error: %s\n", nc_strerror(retval)); VERBOSE("Done \n"); return ncid; - } - int countlinesNC(int ncid, char *dim1, char *dim2) - //!Retrieve number of measurements. - /*! - * @param[in] ncid: netCDF file identifier. - * @param[in] dim1: size of dimension 1. - * @param[in] dim2: size of dimension 2. - */ +//!Retrieve number of measurements. +/*! + * @param[in] ncid: netCDF file identifier. + * @param[in] dim1: size of dimension 1. + * @param[in] dim2: size of dimension 2. + */ { int retval; - size_t lat_len; - int lat_varid; - size_t lon_len; - int lon_varid; - //double *lats_in, *lons_in; + size_t lat_len; + int lat_varid; + size_t lon_len; + int lon_varid; //Retrieve latitiude dim length. if ((retval = nc_inq_dimid(ncid, dim1, &lat_varid))) @@ -59,7 +57,7 @@ int countlinesNC(int ncid, char *dim1, char *dim2) if ((retval = nc_inq_dimlen(ncid, lat_varid, &lat_len))) printf("Error: %s\n", nc_strerror(retval)); //Retrieve longitude dim length. - if ((retval = nc_inq_dimid(ncid, dim2 , &lon_varid))) + if ((retval = nc_inq_dimid(ncid, dim2, &lon_varid))) printf("Error: %s\n", nc_strerror(retval)); if ((retval = nc_inq_dimlen(ncid, lon_varid, &lon_len))) printf("Error: %s\n", nc_strerror(retval)); @@ -68,41 +66,41 @@ int countlinesNC(int ncid, char *dim1, char *dim2) } void readLocsNC_1d(MLE_data *data, int ncid) - //! Read 1D locations from a given - /*! netCDF file - * Returns location struct inside the data struct. - * @param[in] data: MLE_data struct with different MLE inputs. - * @param[in] ncid: netCDF file identifier. - * */ +//! Read 1D locations from a given +/*! netCDF file + * Returns location struct inside the data struct. + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] ncid: netCDF file identifier. + * */ { int retval; - size_t lat_len; - int lat_varid; - size_t lon_len; - int lon_varid; - double *lats_in, *lons_in; + size_t lat_len; + int lat_varid; + size_t lon_len; + int lon_varid; + double* lats_in, *lons_in; int i, j, n, index; location *locations = &data->l1; VERBOSE("Read LOCS from the given NetCDF file... "); //Retrieve latitiude dim length. - if ((retval = nc_inq_dimid(ncid,"latitude",&lat_varid))) + if ((retval = nc_inq_dimid(ncid, "latitude", &lat_varid))) printf("Error: %s\n", nc_strerror(retval)); if ((retval = nc_inq_dimlen(ncid, lat_varid, &lat_len))) printf("Error: %s\n", nc_strerror(retval)); //Retrieve longitude dim length. - if ((retval = nc_inq_dimid(ncid,"longitude", &lon_varid))) + if ((retval = nc_inq_dimid(ncid, "longitude", &lon_varid))) printf("Error: %s\n", nc_strerror(retval)); if ((retval = nc_inq_dimlen(ncid, lon_varid, &lon_len))) printf("Error: %s\n", nc_strerror(retval)); - n = lat_len * lon_len; + n = lat_len * lon_len; //Aloocate Memory - lats_in = (double *) malloc(lat_len * sizeof(double)); - lons_in = (double *) malloc(lon_len * sizeof(double)); - locations->x = (double *) malloc(n * sizeof(double)); - locations->y = (double *) malloc(n * sizeof(double)); + lats_in = (double* ) malloc(lat_len * sizeof(double)); + lons_in = (double* ) malloc(lon_len * sizeof(double)); + locations->x = (double* ) malloc(n * sizeof(double)); + locations->y = (double* ) malloc(n * sizeof(double)); //Get the varids of the latitude and longitude coordinate variables. if ((retval = nc_inq_varid(ncid, "latitude", &lat_varid))) @@ -117,54 +115,50 @@ void readLocsNC_1d(MLE_data *data, int ncid) printf("Error: %s\n", nc_strerror(retval)); index = 0; - for (i = 0; i < lat_len ; i++) - for (j = 0; j < lon_len ; j++) - { - locations->x[index] = lats_in[i]; - locations->y[index++] = lons_in[j]; + for (i = 0; i < lat_len; i++) + for (j = 0; j < lon_len; j++) { + locations->x[index] = lats_in[i]; + locations->y[index++] = lons_in[j]; } VERBOSE("Done \n"); - //zsort_locations(n,locations); free(lats_in); free(lons_in); } - void readLocsNC_2d(MLE_data *data, int ncid) - //! Read 2D locations from a given - /*! netCDF file - * Returns location struct. - * @param[in] data: MLE_data struct with different MLE inputs. - * @param[in] ncid: netCDF file identifier. - * */ +//! Read 2D locations from a given +/*! netCDF file + * Returns location struct. + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] ncid: netCDF file identifier. + * */ { int retval; - size_t sn_len; - int lat_varid; - size_t we_len; - int lon_varid; - //int i, j, index; - int n; + size_t sn_len; + int lat_varid; + size_t we_len; + int lon_varid; + int n; location *locations = &data->l1; VERBOSE("Read LOCS from the given NetCDF file... "); //Retrieve latitiude dim length. - if ((retval = nc_inq_dimid(ncid,"west_east",&lat_varid))) + if ((retval = nc_inq_dimid(ncid, "west_east", &lat_varid))) printf("Error: %s\n", nc_strerror(retval)); if ((retval = nc_inq_dimlen(ncid, lat_varid, &we_len))) printf("Error: %s\n", nc_strerror(retval)); //Retrieve longitude dim length. - if ((retval = nc_inq_dimid(ncid,"south_north", &lon_varid))) + if ((retval = nc_inq_dimid(ncid, "south_north", &lon_varid))) printf("Error: %s\n", nc_strerror(retval)); if ((retval = nc_inq_dimlen(ncid, lon_varid, &sn_len))) printf("Error: %s\n", nc_strerror(retval)); - n = we_len * sn_len; + n = we_len * sn_len; //Aloocate Memory - locations->x = (double *) malloc(n * sizeof(double)); - locations->y = (double *) malloc(n * sizeof(double)); + locations->x = (double* ) malloc(n * sizeof(double)); + locations->y = (double* ) malloc(n * sizeof(double)); //Get the varids of the latitude and longitude coordinate variables. if ((retval = nc_inq_varid(ncid, "XLAT", &lat_varid))) @@ -178,51 +172,42 @@ void readLocsNC_2d(MLE_data *data, int ncid) if ((retval = nc_get_var_double(ncid, lon_varid, locations->y))) printf("Error: %s\n", nc_strerror(retval)); - /* - for(index = 0 ; index < 10; index++) - printf("%f - %f - %f -%f\n", locations->x[index], locations->y[index]); - */ - VERBOSE("Done \n"); - //zsort_locations(n,locations); } -void readVarNCs(MLE_data *data, int ncid, char *varname, double *data_in , char *dim1, char *dim2) - //! Read Read observations from - /*! a given NetCDF variable. - * Returns location struct. - * @param[in] data: MLE_data struct with different MLE inputs. - * @param[in] ncid: netCDF file identifier. - * @param[in] varname: NetCDF variable name. - * @param[out] data_in: data vector. - * @param[in] dim1: size of dimension 1. - * @param[in] dim2: size of dimension 2. - * */ +void readVarNCs(MLE_data *data, int ncid, char *varname, double* data_in, char *dim1, char *dim2) +//! Read Read observations from +/*! a given NetCDF variable. + * Returns location struct. + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] ncid: netCDF file identifier. + * @param[in] varname: NetCDF variable name. + * @param[out] data_in: data vector. + * @param[in] dim1: size of dimension 1. + * @param[in] dim2: size of dimension 2. + * */ { int varid; int retval; size_t lat_len; - int lat_varid; + int lat_varid; size_t lon_len; - int lon_varid; - //int n; + int lon_varid; VERBOSE("Read observations from the given NetCDF variable... "); //Retrieve latitiude dim length. if ((retval = nc_inq_dimid(ncid, dim1, &lat_varid))) printf("Error: %s\n", nc_strerror(retval)); - if ((retval = nc_inq_dimlen(ncid,lat_varid,&lat_len))) + if ((retval = nc_inq_dimlen(ncid, lat_varid, &lat_len))) printf("Error: %s\n", nc_strerror(retval)); //Retrieve longitude dim length. - if ((retval = nc_inq_dimid(ncid, dim2,&lon_varid))) + if ((retval = nc_inq_dimid(ncid, dim2, &lon_varid))) printf("Error: %s\n", nc_strerror(retval)); - if ((retval = nc_inq_dimlen(ncid,lon_varid,&lon_len))) + if ((retval = nc_inq_dimlen(ncid, lon_varid, &lon_len))) printf("Error: %s\n", nc_strerror(retval)); - //n = lat_len * lon_len; size_t start[] = {0, 0, 0}; /* start at first value */ size_t count[] = {1, lat_len, lon_len}; //wind_speed - // size_t count[] = {1, lon_len, lat_len}; //rain, temp //Get the varid of the data variable, based on its name. if ((retval = nc_inq_varid(ncid, varname, &varid))) printf("Error: %s\n", nc_strerror(retval)); @@ -230,21 +215,14 @@ void readVarNCs(MLE_data *data, int ncid, char *varname, double *data_in , char printf("Error: %s\n", nc_strerror(retval)); VERBOSE("DONE\n"); - - /* - int i; - for(i =0;i<500;i++) - printf("%e\n", data_in[i]); - */ } - void closeFileNC(MLE_data *data, int ncid) - //!Close the NetCDF file. - /*! - * @param[in] ncid: netCDF file identifier. - * @param[in] data: MLE_data struct with different MLE inputs. - */ +//!Close the NetCDF file. +/*! + * @param[in] ncid: netCDF file identifier. + * @param[in] data: MLE_data struct with different MLE inputs. + */ { int retval; @@ -252,5 +230,4 @@ void closeFileNC(MLE_data *data, int ncid) if ((retval = nc_close(ncid))) printf("Error: %s\n", nc_strerror(retval)); VERBOSE("Done\n"); -} - +} \ No newline at end of file diff --git a/misc/include/MLE_misc.h b/misc/include/MLE_misc.h index dc78477..f411200 100644 --- a/misc/include/MLE_misc.h +++ b/misc/include/MLE_misc.h @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,14 +11,15 @@ * * Header file of auxiliary functions that are needed by ExaGeoStat. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2020-06-06 + * @date 2022-11-09 * **/ #ifndef _MLE_MISC_H_ #define _MLE_MISC_H_ + #include #include #include @@ -34,15 +35,16 @@ #include #include "common.h" #include "descriptor.h" -#include "chameleon/morse_runtime.h" +#include "chameleon/runtime.h" #include #include -#include +#include #include #include #include #include "../../include/flops.h" #include + #if defined(CHAMELEON_USE_MPI) #include #else @@ -51,10 +53,11 @@ #include #include #endif + #include #include #include -#include "../../include/morse_starpu.h" +#include "../../include/chameleon_starpu.h" /** **************************************************************************** * PI value **/ @@ -71,90 +74,53 @@ * Stop timing macro **/ #define STOP_TIMING(_t) _t += cWtime(); -/*******************************************************************************/ -/** - * Internal function to return address of block (m,n) with m,n = block indices - */ - - -inline static void *chameleon_getaddr_null(const MORSE_desc_t *A, int m, int n) -{ - (void)A; (void)m; (void)n; - return NULL; -} - - -/** - * Internal function to return the leading dimension of element A(m,*) with m,n = block indices - */ -inline static int chameleon_getblkldd_ccrb(const MORSE_desc_t *A, int m) -{ - int mm = m + A->i / A->mb; - return ( ((mm+1) == A->lmt) && ((A->lm % A->mb) != 0)) ? A->lm % A->mb : A->mb; -} - -/** - * Internal function to return MPI rank of element A(m,n) with m,n = block indices - */ -inline static int chameleon_getrankof_2d(const MORSE_desc_t *desc, int m, int n) -{ - - if(m>=n) - return (m % desc->p) * desc->q + (n % desc->q); - else - return (n % desc->p) * desc->q + (m % desc->q); -} - /** **************************************************************************** * Allocate matrix in different modes **/ -#define EXAGEOSTAT_ALLOCATE_MATRIX_TILE(_desc_, _memspace_, _type2_, _mb_, _nb_, _mbXnb_ , _lda_, _n_, _smb_, _snb_, _m_, _n2_, _p_, _q_) \ +#define EXAGEOSTAT_ALLOCATE_MATRIX_TILE(_desc_, _memspace_, _type2_, _mb_, _nb_, _mbXnb_, _lda_, _n_, _smb_, _snb_, _m_, _n2_, _p_, _q_) \ if (data->ooc && _memspace_ == NULL && _mb_ != 1 && _nb_ !=1) \ -MORSE_Desc_Create_OOC(_desc_, _type2_, _mb_, _nb_, _mbXnb_, _lda_, _n_, _smb_, _snb_, _m_, _n2_, \ +CHAMELEON_Desc_Create_OOC(_desc_, _type2_, _mb_, _nb_, _mbXnb_, _lda_, _n_, _smb_, _snb_, _m_, _n2_, \ _p_, _q_); \ else \ -MORSE_Desc_Create(_desc_, _memspace_, _type2_, _mb_, _nb_, _mbXnb_, _lda_, _n_,_smb_, _snb_ , _m_, _n2_, \ - _p_, _q_); \ - - +CHAMELEON_Desc_Create(_desc_, _memspace_, _type2_, _mb_, _nb_, _mbXnb_, _lda_, _n_,_smb_, _snb_ , _m_, _n2_, \ + _p_, _q_); \ -#define EXAGEOSTAT_ALLOCATE_FULL_MATRIX_TILE(_desc_, _memspace_, _type2_, _mb_, _nb_, _mbXnb_ , _lda_, _n_, _smb_, _snb_, _m_, _n2_, _p_, _q_) \ +#define EXAGEOSTAT_ALLOCATE_FULL_MATRIX_TILE(_desc_, _memspace_, _type2_, _mb_, _nb_, _mbXnb_, _lda_, _n_, _smb_, _snb_, _m_, _n2_, _p_, _q_) \ if (data->ooc && _memspace_ == NULL && _mb_ != 1 && _nb_ !=1) \ -MORSE_Desc_Create_OOC(_desc_, _type2_, _mb_, _nb_, _mbXnb_, _lda_, _n_, _smb_, _snb_, _m_, _n2_, \ +CHAMELEON_Desc_Create_OOC(_desc_, _type2_, _mb_, _nb_, _mbXnb_, _lda_, _n_, _smb_, _snb_, _m_, _n2_, \ _p_, _q_); \ else \ -MORSE_Desc_Create_User(_desc_, _memspace_, _type2_, _mb_, _nb_, _mbXnb_, _lda_, _n_,_smb_, _snb_ , _m_, _n2_, \ - _p_, _q_, morse_getaddr_null, morse_getblkldd_ccrb, chameleon_getrankof_2d ); \ +CHAMELEON_Desc_Create_User(_desc_, _memspace_, _type2_, _mb_, _nb_, _mbXnb_, _lda_, _n_,_smb_, _snb_ , _m_, _n2_, \ + _p_, _q_, chameleon_getaddr_null, chameleon_getblkldd_ccrb, chameleon_getrankof_2d ); \ -#define EXAGEOSTAT_ALLOCATE_DIAG_MATRIX_TILE(_desc_, _memspace_, _type2_, _mb_, _nb_, _mbXnb_ , _lda_, _n_, _smb_, _snb_, _m_, _n2_, _p_, _q_) \ +#define EXAGEOSTAT_ALLOCATE_DIAG_MATRIX_TILE(_desc_, _memspace_, _type2_, _mb_, _nb_, _mbXnb_, _lda_, _n_, _smb_, _snb_, _m_, _n2_, _p_, _q_) \ if (data->ooc && _memspace_ == NULL && _mb_ != 1 && _nb_ !=1) \ -MORSE_Desc_Create_OOC(_desc_, _type2_, _mb_, _nb_, _mbXnb_, _lda_, _n_, _smb_, _snb_, _m_, _n2_, \ +CHAMELEON_Desc_Create_OOC(_desc_, _type2_, _mb_, _nb_, _mbXnb_, _lda_, _n_, _smb_, _snb_, _m_, _n2_, \ _p_, _q_); \ else \ -MORSE_Desc_Create_User(_desc_, _memspace_, _type2_, _mb_, _nb_, _mbXnb_, _lda_, _n_,_smb_, _snb_ , _m_, _n2_, \ - _p_, _q_, morse_getaddr_null, morse_getblkldd_ccrb, morse_getrankof_2d_diag ); \ +CHAMELEON_Desc_Create_User(_desc_, _memspace_, _type2_, _mb_, _nb_, _mbXnb_, _lda_, _n_,_smb_, _snb_ , _m_, _n2_, \ + _p_, _q_, chameleon_getaddr_null, chameleon_getblkldd_ccrb, chameleon_getrankof_2d_diag ); \ /** **************************************************************************** * Structure for identifies two dimensions struct with two vectors (x and y). **/ typedef struct { - double *x; ///< Values in X dimension. - double *y; ///< Values in Y dimension. - double *z; ///< Values in Z dimension. + double* x; ///< Values in X dimension. + double* y; ///< Values in Y dimension. + double* z; ///< Values in Z dimension. } location; - /** **************************************************************************** * Structure for reading real datasets through STARS-H **/ typedef struct { double xy; ///< Locations (x, y) - double z; ///< Measurements. + double z; ///< Measurements. } sdata; @@ -162,11 +128,11 @@ typedef struct { * Structure for output results **/ typedef struct { - int problem_size; - char* computation; - char* kernel; - char* ds_type; - char* precision; + int problem_size; + char *computation; + char *kernel; + char *ds_type; + char *precision; int z_sample; int dense_ts; int lr_ts; @@ -177,142 +143,155 @@ typedef struct { int p; int q; int num_params; - double *initial_theta; - double *starting_theta; - double *estimated_theta; + double* initial_theta; + double* starting_theta; + double* estimated_theta; double final_loglik; double time_per_iteration; + double cholesky_per_iter; double flops_per_iteration; + double generation_per_iter; + double solve_per_iter; double total_mle_time; double mse_pred1; double mse_pred2; + double mse_pred3; double mse_pred; + double trace_pred_sum; + double trace_pred_mean; double total_pred_time; double total_pred_flops; double mloe; double mmom; - char* mloe_exec; + char *mloe_exec; double total_mloe_mmom_time; double matrix_gen_mloe_mmom_time; double cho_fact_mloe_mmom_time; double loop_mloe_mmom_time; - double total_mloe_mmom_flops; + double total_mloe_mmom_flops; + double fisher_00; + double fisher_11; + double fisher_22; + double fisher_time; } output; - - -/** **************************************************************************** - * Structure for uniquely identifies three different parameters for accuracy - * measurments accuracyDenseAppDiff, normDenseAppDiff, and normA. - **/ -/*typedef struct{ - double accuracyDenseAppDiff; ///< Accuracy different between dense format and approx format. - double normDenseAppDiff; ///< Norm difference between dense format and approx format. - double normA; ///< normA. - } acc_struct; - */ - /** **************************************************************************** * Structure for uniquely identifies different variables that are needed * by EXAGEOSTAT to ease arguments pass. **/ -typedef struct -{ - double variance; ///< Variance parameter. - double variance1; ///< Variance1 parameter. - double variance2; ///< Variance2 parameter. - char *computation; ///< Exact or approx computation. - char *c_fun; ///< Matern or pow-exp kernels. - int test; ///< Synthetic or real dataset execution. - int async; ///< Running mode: synchronous or asynchronous. - int iter_count; ///< Number of iterations to converge. - location l1; ///< 2D locations for the first dataset. - location lmiss; ///< 2D locations for the missing data (prediction stage). - location lobs; ///< 2D locations for the observed data (prediction stage). - location lm; ///< 2D locations for the median data point. - void *descC; ///< Covariance matrix C descriptor. - void *descsubC11; ///< Covariance sub matrix C11 descriptor. - void *descsubC12; ///< Covariance sub matrix C12 descriptor. - void *descsubC21; ///< Covariance sub matrix C21 descriptor. - void *descsubC22; ///< Covariance sub matrix C22 descriptor. - void *descZ; ///< Measurements Z descriptor. - void *descZ1; ///< Measurements Z1 submatrix descriptor. - void *descZ2; ///< Measurements Z2 submatrix descriptor. - double *Adense; ///< Dense matrix descriptor in the case of approximation mode - accuracy check. - double *Adense2; ///< Dense matrix descriptor2 in the case of approximation mode - accuracy check. - void *descZcpy; ///< A copy of Measurements Z descriptor. - void *descdet; ///< Determinant descriptor. - void *descproduct; ///< Dot product descriptor. - void *descproduct1; ///< Dot product descriptor. - void *descproduct2; ///< Dot product descriptor. - void *descZmiss; ///< Missing measurements descriptor. - void *descC12; ///< Covariance Matrix C12 descriptor. - void *descC22; ///< Covariance Matrix C22 descriptor. - void *descZactual; ///< Actual Measurements Z descriptor. - void *descZobs; ///< observed Measurements Z descriptor. - void *descmse1; ///< Mean Square Error (MSE) descriptor. - void *descmse2; ///< Mean Square Error (MSE) descriptor. - void *descmse; ///< Mean Square Error (MSE) descriptor. - void *sequence; ///< MORSE sequence. - void *request; ///< MORSE request. - int verbose; ///< Verbose indicator. - int check; ///< Check indicator -- approximation mode. - int log; ///< Log files generation indicator, 0--> no, 1--> yes. - double avg_exec_time_per_iter; ///< Avergae execution time per iteration (only used in verbose mode). - double total_exec_time; ///< Total execution time (only used in verbose mode). - double avg_flops_per_iter; ///< Avergae flops per iteration (only used in verbose mode). - double final_loglik; ///< Final log likelihood value. - char *locsFPath; ///< Locations file path -- in the case of real dataset (real mode). - char *obsFPath; ///< Observations file path -- in the case of real dataset (real mode). - char *obsFPath2; ///< Observations file path2 (bivariate case) -- in the case of real dataset (real mode). - char *actualZFPath; ///< Actual observations file path -- in the case of prediction. - char *actualZFPath2; ///< Actual observations file path -- in the case of prediction. - char *actualZLocFPath; ///< Actial locations file path -- in the case of prediction. - double det; ///< determinant value. - double dotp; ///< double dot product value. - double dotp1; ///< double dot2 product value. - double dotp2; ///< double dot3 product value. - float sdotp; ///< single dot product value. - double mserror; ///< Mean Square Error (MSE) value. - double mserror1; ///< Mean Square Error (MSE) value, variable 1 in case of bivariate. - double mserror2; ///< Mean Square Error (MSE) value, variable 2 in case of bivariate. - char *dm; ///< Distance metric to be used ed->Euclidian Distance -- gcd->Great Circle Distance. - int diag_thick; ///< The thick of used diagonal in the case of diagonal approximation approach. - char *nFileLog; ///< log file name (only used if log -->1). - FILE *pFileLog; ///< log file path (only used if log -->1). - int hicma_maxrank; ///< Max Rank in the case of LR-HiCMA approx - int hicma_data_type; ///< To define the type of the problem to HiCMA (HICMA_STARSH_PROB_GEOSTAT (Synthetic) or HICMA_STARSH_PROB_GEOSTAT_POINT (real)) - void *hicma_descC; ///< HiCMA descC descriptor (for accuracy check). - void *hicma_descZ; ///< HiCMA descZ descriptor. - void *hicma_descCD; ///< HiCMA descCD descriptor. - void *hicma_descCUV; ///< HiCMA descCUV descriptor. - void *hicma_descCrk; ///< HiCMA descCrk descriptor. - void *hicma_descZcpy; ///< A copy of Measurements Z descriptor. - void *hicma_descdet; ///< Determinant descriptor. - void *hicma_descproduct; ///< Dot product descriptor. - void *hicma_descC12D; ///< HiCMA descCD descriptor. - void *hicma_descC12UV; ///< HiCMA descCUV descriptor. - void *hicma_descC12rk; ///< HiCMA descCrk descriptor. - void *hicma_descC22D; ///< HiCMA descCD descriptor. - void *hicma_descC22UV; ///< HiCMA descCUV descriptor. - void *hicma_descC22rk; ///< HiCMA descCrk descriptor. - double hicma_acc; ///< Accuracy in the case of LR-HiCMA approx. - void *hsequence; ///< HiCMA sequence. - void *hrequest; ///< HiCMA request. - int opt_tol; ///< The parameter tol is a tolerance that is used for the purpose of stopping criteria only. - int opt_max_iters; ///< Maximum number of mle iterations. - int ooc; ///< Support Out-Of-Core execution, 0-->no, 1-->yes. - char* kernel_fun; ///< stationary_matern, or non_stationary_matern. - int precision; ///< (0)Double, (1)Single, and (2)Mixed. +typedef struct { + double variance; ///< Variance parameter. + double variance1; ///< Variance1 parameter. + double variance2; ///< Variance2 parameter. + double variance3; ///< Variance3 parameter. + char *computation; ///< Exact or approx computation. + char *c_fun; ///< Matern or pow-exp kernels. + int test; ///< Synthetic or real dataset execution. + int async; ///< Running mode: synchronous or asynchronous. + int iter_count; ///< Number of iterations to converge. + location l1; ///< 2D locations for the first dataset. + location lmiss; ///< 2D locations for the missing data (prediction stage). + location lobs; ///< 2D locations for the observed data (prediction stage). + location lm; ///< 2D locations for the median data point. + void *descC; ///< Covariance matrix C descriptor. + void *descsubC11; ///< Covariance sub matrix C11 descriptor. + void *descsubC12; ///< Covariance sub matrix C12 descriptor. + void *descsubC21; ///< Covariance sub matrix C21 descriptor. + void *descsubC22; ///< Covariance sub matrix C22 descriptor. + void *descZ; ///< Measurements Z descriptor. + void *descZ1; ///< Measurements Z1 submatrix descriptor. + void *descZ2; ///< Measurements Z2 submatrix descriptor. + void *descZ3; ///< Measurements Z3 submatrix descriptor. + double* Adense; ///< Dense matrix descriptor in the case of approximation mode - accuracy check. + double* Adense2; ///< Dense matrix descriptor2 in the case of approximation mode - accuracy check. + void *descZcpy; ///< A copy of Measurements Z descriptor. + void *descdet; ///< Determinant descriptor. + void *descsum; ///< Sum descriptor (non-Gaussian). + void *descproduct; ///< Dot product descriptor. + void *descproduct1; ///< Dot product descriptor. + void *descproduct2; ///< Dot product descriptor. + void *descproduct3; ///< Dot product descriptor. + void *descZmiss; ///< Missing measurements descriptor. + void *descC11; ///< Covariance Matrix C11 descriptor. + void *descC21; ///< Covariance Matrix C21 descriptor. + void *descC12; ///< Covariance Matrix C12 descriptor. + void *descC22; ///< Covariance Matrix C22 descriptor. + void *descZactual; ///< Actual Measurements Z descriptor. + void *descZobs; ///< observed Measurements Z descriptor. + void *descmse; ///< Mean Square Error (MSE) descriptor. + void *descmse1; ///< Mean Square Error (MSE) descriptor. + void *descmse2; ///< Mean Square Error (MSE) descriptor. + void *descmse3; ///< Mean Square Error (MSE) descriptor. + void *descZtrace; ///< Trace descriptor. + void *sequence; ///< CHAMELEON sequence. + void *request; ///< CHAMELEON request. + int verbose; ///< Verbose indicator. + int check; ///< Check indicator -- approximation mode. + int log; ///< Log files generation indicator, 0--> no, 1--> yes. + double avg_exec_time_per_iter; ///< Avergae execution time per iteration (only used in verbose mode). + double total_exec_time; ///< Total execution time (only used in verbose mode). + double avg_flops_per_iter; ///< Average flops per iteration (only used in verbose mode). + double avg_generation_per_iter; + double avg_solve_per_iter; + double avg_cholesky_per_iter; + double final_loglik; ///< Final log likelihood value. + char *locsFPath; ///< Locations file path -- in the case of real dataset (real mode). + char *timeFPath; ///< Time file path -- in the case of real dataset (real mode -- space-time kernel). + char *obsFPath; ///< Observations file path -- in the case of real dataset (real mode). + char *obsFPath2; ///< Observations file path2 (bivariate case) -- in the case of real dataset (real mode). + char *obsFPath3; ///< Observations file path3 (bivariate case) -- in the case of real dataset (real mode). + char *actualZFPath; ///< Actual observations file path -- in the case of prediction. + char *actualZFPath2; ///< Actual observations file path -- in the case of prediction. + char *actualZFPath3; ///< Actual observations file path -- in the case of prediction. + char *actualZLocFPath; ///< Actual locations file path -- in the case of prediction. + char *actualTimeFPath; ///< Actual time file path -- in the case of prediction (space-time kernel). + double det; ///< Determinant value. + double sum; ///< Sum value (non-Gaussian). + double dotp; ///< Double dot product value. + double dotp1; ///< Double dot1 product value. + double dotp2; ///< Double dot2 product value. + double dotp3; ///< Double dot3 product value. + float sdotp; ///< Single dot product value. + double mserror; ///< Mean Square Error (MSE) value. + double mserror1; ///< Mean Square Error (MSE) value, variable 1 in case of bivariate. + double mserror2; ///< Mean Square Error (MSE) value, variable 2 in case of bivariate. + double mserror3; ///< Mean Square Error (MSE) value, variable 3 in case of bivariate. + char *dm; ///< Distance metric to be used ed->Euclidian Distance -- gcd->Great Circle Distance. + int diag_thick; ///< The thick of used diagonal in the case of diagonal approximation approach. + char *nFileLog; ///< Log file name (only used if log -->1). + FILE *pFileLog; ///< Log file path (only used if log -->1). + int hicma_maxrank; ///< Max Rank in the case of LR-HiCMA approx + int hicma_data_type; ///< To define the type of the problem to HiCMA (HICMA_STARSH_PROB_GEOSTAT (Synthetic) or HICMA_STARSH_PROB_GEOSTAT_POINT (real)) + void *hicma_descC; ///< HiCMA descC descriptor (for accuracy check). + void *hicma_descZ; ///< HiCMA descZ descriptor. + void *hicma_descCD; ///< HiCMA descCD descriptor. + void *hicma_descCUV; ///< HiCMA descCUV descriptor. + void *hicma_descCrk; ///< HiCMA descCrk descriptor. + void *hicma_descZcpy; ///< A copy of Measurements Z descriptor. + void *hicma_descdet; ///< Determinant descriptor. + void *hicma_descproduct; ///< Dot product descriptor. + void *hicma_descC12D; ///< HiCMA descCD descriptor. + void *hicma_descC12UV; ///< HiCMA descCUV descriptor. + void *hicma_descC12rk; ///< HiCMA descCrk descriptor. + void *hicma_descC22D; ///< HiCMA descCD descriptor. + void *hicma_descC22UV; ///< HiCMA descCUV descriptor. + void *hicma_descC22rk; ///< HiCMA descCrk descriptor. + double hicma_acc; ///< Accuracy in the case of LR-HiCMA approx. + void *hsequence; ///< HiCMA sequence. + void *hrequest; ///< HiCMA request. + int opt_tol; ///< The parameter tol is a tolerance that is used for the purpose of stopping criteria only. + int opt_max_iters; ///< Maximum number of mle iterations. + int ooc; ///< Support Out-Of-Core execution, 0-->no, 1-->yes. + char *kernel_fun; ///< stationary_matern, or non_stationary_matern. + int precision; ///< (0)Double, (1)Single, and (2)Mixed. //Mixed Precision - void *desctemp; ///< Temporary descriptor for mixed precision Cholesky factorization. - void *desctemp22; ///< Temporary descriptor for mixed precision Cholesky factorization. + void *desctemp; ///< Temporary descriptor for mixed precision Cholesky factorization. + void *desctemp22; ///< Temporary descriptor for mixed precision Cholesky factorization. //MLOE and MMOM void *desck_t; void *desck_a; void *desck_ttmp; void *desck_atmp; - void *descK_ttmp; void *descK_t; void *descK_a; void *descexpr1; @@ -322,28 +301,34 @@ typedef struct void *descestimatedalpha; void *desctruthalpha; void *desc_mloe_mmom; - double expr1; - double expr2; - double expr3; - double expr4; + void *descmloe; + void *descmmom; + double expr1; + double expr2; + double expr3; + double expr4; double mloe; - double mmom; + double mmom; int mloe_mmom; int mloe_mmom_async; int mspe; - char* recovery_file; - char* checkpoint_file; + char *recovery_file; + char *checkpoint_file; int time_slots; int idw; + int fisher; + //for non-Gaussian prediction + void *descr; + void *descrcpy; } MLE_data; /** **************************************************************************** * Verbose Macro. **/ -#define VERBOSE(str) \ - if (data->verbose == 1 && MORSE_My_Mpi_Rank() == 0){ \ - fprintf(stdout, "%s", str); \ +#define VERBOSE(str) \ + if (data->verbose == 1 && CHAMELEON_My_Mpi_Rank() == 0){ \ + fprintf(stdout, "%s", str); \ fflush(stdout);\ } @@ -351,120 +336,140 @@ typedef struct * Success Macro. **/ #define SUCCESS(success, str) \ - if (success != MORSE_SUCCESS){ \ + if (success != CHAMELEON_SUCCESS){ \ fprintf(stdout, "%s", str);\ fflush(stdout);\ exit(EXIT_FAILURE);\ } -output results; +extern output results; -void pick_random_points(MLE_data *data, double *Zobs, double *Zactual, - int nZmiss, int nZobs, int N); +void pick_random_points(MLE_data *data, double* Zobs, double* Zactual, + int nZmiss, int nZobs, int N); -void generate_interior_points(MLE_data *data, double *Zobs, double *Zactual, - int nZmiss, int nZobs, int N); +void generate_interior_points(MLE_data *data, double* Zobs, double* Zactual, + int nZmiss, int nZobs, int N); -void split_data(MLE_data * data, location *locations, double *Z, - double *Zactual, - int *N, int nZmiss); +void split_data(MLE_data *data, location *locations, double* Z, + double* Zactual, + int *N, int nZmiss); void init_data_values(MLE_data *data); -int locations_obs_zsort_inplace(int n, location *locations, double *z); +int locations_obs_zsort_inplace(int n, location *locations, double* z); -void zsort_locations_obs(int n, location *locations, double *z); +void zsort_locations_obs(int n, location *locations, double* z); double uniform_distribution(double rangeLow, double rangeHigh); -void print_dmatrix(char* desc, int m, int n, - double* a, int lda); +void print_dmatrix(char *desc, int m, int n, + double* a, int lda); -void print_diagonal(char* desc, int m, double* a, - int lda); +void print_diagonal(char *desc, int m, double* a, + int lda); -void print_smatrix(char* desc, int m, int n, - float* a, int lda); +void print_smatrix(char *desc, int m, int n, + float *a, int lda); -location* GenerateXYLoc(int n, int seed); +location *GenerateXYLoc(int n, int seed); +location *GenerateXYZLoc(int n, int seed); int countlines(char *filename); void checkpointing(char *path, int iter_count, double* theta, - double loglik, int num_params); + double loglik, int num_params); -bool recover(char *path, int iter_count, double* theta, - double* loglik, int num_params); +bool recover(char *path, int iter_count, double* theta, + double* loglik, int num_params); -void write_to_file(char * path, int matrix_size,int ncores, - int tile_size, int test, char *computation, - int async, char *obsFPath,double total_exec_time, - double avg_exec_time_per_iter, double avg_flops_per_iter, - int p_grid, int q_grid, double final_loglik, int n); +void write_to_file(char *path, int matrix_size, int ncores, + int tile_size, int test, char *computation, + int async, char *obsFPath, double total_exec_time, + double avg_exec_time_per_iter, double avg_flops_per_iter, + int p_grid, int q_grid, double final_loglik, int n); -void theta_parser2(double *theta_vec, char * kern, int num_params); +void theta_parser2(double* theta_vec, char *kern, int num_params); -void write_vectors(double * zvec, MLE_data * data, int n); +void write_vectors(double* zvec, MLE_data *data, int n); -void write_to_thetafile(char * path, double *theta, int num_params, - int n, double time_per_iter, int total_no_iters, - double prediction_error, double mloe, double mmom); -//void readObsFile(char *obsfile, int n, double * streamdata); +void write_to_thetafile(char *path, double* theta, int num_params, + int n, double time_per_iter, int total_no_iters, + double prediction_error, double mloe, double mmom); -void shuffle(double *array, location* locations, size_t n); +void shuffle(double* array, location *locations, size_t n); -void theta_parser(double *initial_theta, double *target_theta, - double *starting_theta, char *ikernel, char *kernel, - double *lb, double *up, int test, int num_params); +void theta_parser(double* initial_theta, double* target_theta, + double* starting_theta, char *ikernel, char *kernel, + double* lb, double* up, int test, int num_params); -void init_optimizer(nlopt_opt* opt, double *lb, double *up, - double tol); +void init_optimizer(nlopt_opt *opt, double* lb, double* up, + double tol); void print_summary(int test, int N, int ncores, int gpus, - int ts, int lts, char *computation, - int zvecs, int p_grid, int q_grid, int precision); + int ts, int lts, char *computation, + int zvecs, int p_grid, int q_grid, int precision); -int print_result(MLE_data *data, double *starting_theta, int N, - int zvecs, int ncores, int ts, int test, - double *initial_theta, char *computation, - int p_grid, int q_grid, double final_loglik, - double prediction_error); +int print_result(MLE_data *data, double* starting_theta, int N, + int zvecs, int ncores, int ts, int test, + double* initial_theta, char *computation, + int p_grid, int q_grid, double final_loglik, + double prediction_error); double cWtime(void); -void readlocfile(char* loc_file, int n, location* l1); +void readlocfile(char *loc_file, int n, location *l1); void write_prediction_result(char *path, int matrix_size, int no_missing, - double MSE1, double MSE2, double MSE, - double solve_time, double flops); + double MSE1, double MSE2, double MSE3, double MSE, + double solve_time, double flops); int doesFileExist(const char *filename); -void init_log (MLE_data * data); +void init_log(MLE_data *data); + +void finalize_log(MLE_data *data); -void finalize_log (MLE_data * data); //acc_struct check_acc(MLE_data * HICMA_data, int n, int ts); -double core_matern_vector (double x0, double y0, double x1, - double y1, double *localtheta, int distance_metric); - -void pick_random_points2(MLE_data *data, double *Zobs, double *Zactual, - int nZmiss, int nZobs, int N); - -location* GenerateXYLoc_ST(int n, int t_slots, int seed); -void pick_random_points_noshuffle(MLE_data *data, double *Zobs, double *Zactual, - int nZmiss, int nZobs, int N); - -double* pred_idw(MLE_data *data, double *z_miss, double *z_actual, - double*z_obs, int nZmiss, int nZobs); - -void write_to_estimatedtheta(char * path, double *theta, int num_params, - int n, double prediction_time, - double mloe_mmom_time, - double prediction_error1, - double prediction_error2, - double prediction_error, - double mloe, - double mmom, - int zvecs); -#endif +double core_matern_vector(double x0, double y0, double x1, + double y1, double* localtheta, int distance_metric); + +void pick_random_points2(MLE_data *data, double* Zobs, double* Zactual, + int nZmiss, int nZobs, int N); + +void pick_random_points3(MLE_data *data, double* Zobs, double* Zactual, int nZmiss, int nZobs, int N); + +location *GenerateXYLoc_ST(int n, int t_slots, int seed); + +location *GenerateXYLoc_reg(int n, int seed); + +location *GenerateXYLoc_Expand(int n, int seed); + +void pick_random_points_noshuffle(MLE_data *data, double* Zobs, double* Zactual, + int nZmiss, int nZobs, int N); + +double* pred_idw(MLE_data *data, double* z_miss, double* z_actual, + double* z_obs, int nZmiss, int nZobs); + +void write_to_estimatedtheta(char *path, double* theta, int num_params, + int n, double prediction_time, + double mloe_mmom_time, + double prediction_error1, + double prediction_error2, + double prediction_error3, + double prediction_error, + double mloe, + double mmom, + int zvecs); + +int print_predicted_values(location *lmiss, double* Zactual, + double* Zmiss, int nZmiss, int p); + +void shuffle3(double* array, double* array2, double* array3, + location *locations, size_t n); + +void fwrite_array(int m, int n, int ld, double* arr, char *file); + +void print_array(int m, int n, int ld, double* arr, FILE *fp); + +#endif \ No newline at end of file diff --git a/misc/include/flat_file.h b/misc/include/flat_file.h index 0db9a45..0fd7caf 100644 --- a/misc/include/flat_file.h +++ b/misc/include/flat_file.h @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,17 +11,23 @@ * * Heade file of auxiliary functions that are used to read and process flat files. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2018-11-11 + * @date 2022-11-09 * **/ #ifndef _FLAT_FILE_H_ #define _FLAT_FILE_H_ + #include "MLE_misc.h" -location* readLocsFile(char *locs_file, int n); -double * readObsFile(char *obsfile, int n); +location *readLocsFile(char *locs_file, int n); + +location *readLocsFile3d(char *locs_file, int n); + +double* readObsFile(char *obsfile, int n); + +double* readTimeFile(char *timefile, int n); #endif diff --git a/misc/include/nc_file.h b/misc/include/nc_file.h index e840679..e8d39a3 100644 --- a/misc/include/nc_file.h +++ b/misc/include/nc_file.h @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,18 +11,19 @@ * * Heade file of auxiliary functions that are used to read and process flat files. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2018-11-11 + * @date 2022-11-09 * **/ #ifndef _NC_FILE_H_ #define _NC_FILE_H_ + #include -#include "MLE_misc.h" +#include -int openFileNC(MLE_data* data, char *filename); +int openFileNC(MLE_data *data, char *filename); int countlinesNC(int ncid, char *dim1, char *dim2); @@ -31,8 +32,8 @@ void readLocsNC_1d(MLE_data *data, int ncid); void readLocsNC_2d(MLE_data *data, int ncid); void readVarNCs(MLE_data *data, int ncid, char *varname, - double *data_in, char *dim1, char *dim2); + double* data_in, char *dim1, char *dim2); -void closeFileNC(MLE_data* data, int ncid); +void closeFileNC(MLE_data *data, int ncid); #endif diff --git a/misc_scripts/access_isambard.sh b/misc_scripts/access_isambard.sh new file mode 100644 index 0000000..7d12fa2 --- /dev/null +++ b/misc_scripts/access_isambard.sh @@ -0,0 +1,5 @@ +ssh ri-sabdulah@isambard.gw4.ac.uk +hint: p@100? + +ssh xcil00 +progress : STARS-H does not compile with GSL diff --git a/sc20-artifacts/sc20-installation-scripts/arm-armpl-starpu1.2.9-installation-script.sh b/misc_scripts/build-arm-isambard.sh similarity index 64% rename from sc20-artifacts/sc20-installation-scripts/arm-armpl-starpu1.2.9-installation-script.sh rename to misc_scripts/build-arm-isambard.sh index 7abf839..ec177e3 100644 --- a/sc20-artifacts/sc20-installation-scripts/arm-armpl-starpu1.2.9-installation-script.sh +++ b/misc_scripts/build-arm-isambard.sh @@ -12,7 +12,6 @@ echo 'module swap PrgEnv-cray PrgEnv-allinea' >> $SETUP_DIR/pkg_config.sh echo 'ARMPLLIBS="-larmpl"' >> $SETUP_DIR/pkg_config.sh echo 'ARMPLROOT="/opt/allinea/19.2.0.0/opt/arm/armpl-19.2.0_ThunderX2CN99_SUSE-12_arm-hpc-compiler_19.2_aarch64-linux"' >> $SETUP_DIR/pkg_config.sh -#module load allinea/19.0.0.1 ================== NLOPT export SETUP_DIR=$PWD @@ -33,23 +32,6 @@ export LD_LIBRARY_PATH=$NLOPTROOT/nlopt_install/lib:$LD_LIBRARY_PATH echo 'export PKG_CONFIG_PATH='$NLOPTROOT'/nlopt_install/lib/pkgconfig:$PKG_CONFIG_PATH' >> $SETUP_DIR/pkg_config.sh echo 'export LD_LIBRARY_PATH='$NLOPTROOT'/nlopt_install/lib:$LD_LIBRARY_PATH' >> $SETUP_DIR/pkg_config.sh ======================FXT -#cd $SETUP_DIR -#if [ ! -d "fxtrace" ]; then -# wget http://mirror.rackdc.com/savannah/fkt/fxt-0.3.7.tar.gz -# tar -zxvf fxt-0.3.7.tar.gz -#fi -#cd fxt-0.3.7 -#[[ -d fxtrace_install ]] || mkdir fxtrace_install -#CC=cc CXX=CC ./configure --prefix=$PWD/fxtrace_install/ -#make -j -#make -j install -#FXTROOT=$PWD -#export PKG_CONFIG_PATH=$FXTROOT/fxtrace_install/lib/pkgconfig:$PKG_CONFIG_PATH -#export LD_LIBRARY_PATH=$FXTROOT/fxtrace_install/lib:$LD_LIBRARY_PATH -#export CPATH=$FXTROOT/fxtrace_install/include:$CPATH -#echo 'export PKG_CONFIG_PATH='$FXTROOT'/fxtrace_install/lib/pkgconfig:'$PKG_CONFIG_PATH'' >> pkg_config.sh -#echo 'export LD_LIBRARY_PATH='$FXTROOT'/fxtrace_install/lib:'$LD_LIBRARY_PATH'' >> pkg_config.sh -#echo 'export CPATH='$FXTROOT'/fxtrace_install/include:'$CPATH'' >> pkg_config.sh ========================GSL cd $SETUP_DIR if [ ! -d "gsl-2.4" ]; then @@ -86,14 +68,13 @@ echo 'export PKG_CONFIG_PATH='$HWLOCROOT'/hwloc_install/lib/pkgconfig:$PKG_CONFI echo 'export LD_LIBRARY_PATH='$HWLOCROOT'/hwloc_install/lib:$LD_LIBRARY_PATH' >> $SETUP_DIR/pkg_config.sh ==========================starpu cd $SETUP_DIR -if [ ! -d "starpu-1.2.9" ]; then - wget http://starpu.gforge.inria.fr/files/starpu-1.2.9/starpu-1.2.9.tar.gz - tar -zxvf starpu-1.2.9.tar.gz +if [ ! -d "starpu-1.2.6" ]; then + wget http://starpu.gforge.inria.fr/files/starpu-1.2.6/starpu-1.2.6.tar.gz + tar -zxvf starpu-1.2.6.tar.gz fi -cd starpu-1.2.9 +cd starpu-1.2.6 [[ -d starpu_install ]] || mkdir starpu_install CC=cc CXX=CC ./configure --prefix=$PWD/starpu_install/ --disable-cuda --disable-opencl --disable-build-doc --disable-export-dynamic --disable-mpi-check --with-mpicc=`which cc` -#--with-fxt=$FXTROOT make -j make -j install export STARPUROOT=$PWD @@ -109,9 +90,9 @@ echo 'export CPATH='$STARPUROOT'/starpu_install/include/starpu/1.2/:$CPATH' >> $ ================================= cd $SETUP_DIR -rm -rf exageostat +rm -rf exageostatr # Check if we are already in exageostat repo dir or not. -if git -C $PWD remote -v | grep -q 'https://github.com/ecrc/exageostat' +if git -C $PWD remote -v | grep -q 'https://github.com/ecrc/exageostatr' then # we are, lets go to the top dir (where .git is) until test -d $PWD/.git ; @@ -119,8 +100,8 @@ then cd .. done; else - git clone https://github.com/ecrc/exageostat - cd exageostat + git clone https://github.com/ecrc/exageostatr + cd exageostatr fi git pull git submodule update --init --recursive @@ -132,27 +113,6 @@ export CHAMELEONDIR=$EXAGEOSTATDEVDIR/hicma/chameleon export STARSHDIR=$EXAGEOSTATDEVDIR/stars-h - - -# STARS-H - -cd $STARSHDIR -rm -rf build -mkdir -p build/install_dir -cd build - - -CFLAGS="-I${ARMPLROOT}/include" cmake .. -DCMAKE_CXX_COMPILER=CC -DCMAKE_C_COMPILER=cc -DCMAKE_Fortran_COMPILER=ftn -DCMAKE_INSTALL_PREFIX=$PWD/install_dir -DMPI=OFF -DOPENMP=OFF -DSTARPU=OFF -DGSL=OFF -DBLAS_LIBRARIES="-L${ARMPLROOT}/lib ${ARMPLLIBS}" -DBLAS_COMPILER_FLAGS="-fopenmp -mcpu=native -I${ARMPLROOT}/include" -DCBLAS_DIR="-L${ARMPLROOT}/lib ${ARMPLLIBS}" - -make -j -make install - -export PKG_CONFIG_PATH=$STARSHDIR/build/install_dir/lib/pkgconfig:$PKG_CONFIG_PATH -export LD_LIBRARY_PATH=$STARSHDIR/build/install_dir/lib/pkgconfig:$LD_LIBRARY_PATH -#echo 'export PKG_CONFIG_PATH='$STARSHDIR'/build/install_dir/lib/pkgconfig:$PKG_CONFIG_PATH' >> $SETUP_DIR/pkg_config.sh -#echo 'export PKG_CONFIG_PATH='$STARSHDIR'/build/install_dir/lib/pkgconfig:$PKG_CONFIG_PATH '>> $SETUP_DIR/pkg_config.sh - -========================================== ========================================== ## CHAMELEON cd $CHAMELEONDIR @@ -168,32 +128,9 @@ make -j 4 # CHAMELEON parallel build seems to be fixed make install export PKG_CONFIG_PATH=$CHAMELEONDIR/build/install_dir/lib/pkgconfig:$PKG_CONFIG_PATH -echo 'export PKG_CONFIG_PATH='$CHAMELEONDIR'/build/install_dir/lib/pkgconfig:$PKG_CONFIG_PATH' >> $SETUP_DIR/pkg_config.sh - - -================== - -# HICMA -cd $HICMADIR -rm -rf build -mkdir -p build/install_dir -cd build - - -cmake .. -DCMAKE_CXX_COMPILER=CC -DCMAKE_C_COMPILER=cc -DCMAKE_Fortran_COMPILER=ftn -DCMAKE_INSTALL_PREFIX=$PWD/install_dir -DCMAKE_COLOR_MAKEFILE:BOOL=ON -DCMAKE_VERBOSE_MAKEFILE:BOOL=ON -DBUILD_SHARED_LIBS=OFF -DSTARPU_DIR=$STARPUROOT/starpu_install -DBLAS_LIBRARIES="-Wl,--no-as-needed;-L${ARMPLROOT}/lib;${ARMPLLIBS};-lpthread;-lm;-ldl" -DBLAS_COMPILER_FLAGS="-I${ARMPLROOT}/include" -DLAPACK_LIBRARIES="-Wl,--no-as-needed;-L${ARMPLROOT}/lib;${ARMPLLIBS} -lpthread;-lm;-ldl" -DCBLAS_DIR="${ARMPLROOT}" -DLAPACKE_DIR="${ARMPLROOT}" -DTMG_DIR="${ARMPLROOT}" -DMPI_C_COMPILER=`which cc` -DHICMA_USE_MPI=1 - - -make -j 4 && make install -make install - -export PKG_CONFIG_PATH=$HICMADIR/build/install_dir/lib/pkgconfig:$PKG_CONFIG_PATH -export LD_LIBRARY_PATH=$HICMADIR/build/install_dir/lib/:$LD_LIBRARY_PATH -export CPATH=$HICMADIR/build/install_dir/include/coreblas:$CPATH +echo 'export PKG_CONFIG_PATH='$CHAMELEONDIR'/build/install_dir/lib/pkgconfig:$PKG_CONFIG_PATH' >> $SETUP_DIR/pkg_config.sh -echo 'export PKG_CONFIG_PATH='$HICMADIR'/build/install_dir/lib/pkgconfig:$PKG_CONFIG_PATH' >> $SETUP_DIR/pkg_config.sh -echo 'export LD_LIBRARY_PATH='$HICMADIR'/build/install_dir/lib/:$LD_LIBRARY_PATH' >> $SETUP_DIR/pkg_config.sh -echo 'export CPATH='$HICMADIR'/build/install_dir/include/coreblas:$CPATH' >> $SETUP_DIR/pkg_config.sh ================== #exageostat cd ~/develop @@ -204,17 +141,6 @@ mkdir -p build/install_dir cd build module load cray-netcdf-hdf5parallel/4.6.3.0 -cmake .. -DCMAKE_CXX_COMPILER=CC -DCMAKE_C_COMPILER=cc -DCMAKE_Fortran_COMPILER=ftn -DCMAKE_INSTALL_PREFIX=$PWD/install_dir -DCMAKE_COLOR_MAKEFILE:BOOL=ON -DCMAKE_VERBOSE_MAKEFILE:BOOL=ON -DBUILD_SHARED_LIBS=OFF -DSTARPU_DIR=$STARPUROOT/starpu_install -DBLAS_LIBRARIES="-Wl,--no-as-needed;-L${ARMPLROOT}/lib;${ARMPLLIBS};-lpthread;-lm;-ldl" -DBLAS_COMPILER_FLAGS="-I${ARMPLROOT}/include" -DLAPACK_LIBRARIES="-Wl,--no-as-needed;-L${ARMPLROOT}/lib;${ARMPLLIBS} -lpthread;-lm;-ldl" -DCBLAS_DIR="${ARMPLROOT}" -DLAPACKE_DIR="${ARMPLROOT}" -DMPI_C_COMPILER=`which cc` -DEXAGEOSTAT_USE_HICMA=ON -DEXAGEOSTAT_USE_NETCDF=OFF -DEXAGEOSTAT_USE_MPI=1 - - - - - - -make -j 4 && make install - - - - - +cmake .. -DCMAKE_CXX_COMPILER=CC -DCMAKE_C_COMPILER=cc -DCMAKE_Fortran_COMPILER=ftn -DCMAKE_INSTALL_PREFIX=$PWD/install_dir -DCMAKE_COLOR_MAKEFILE:BOOL=ON -DCMAKE_VERBOSE_MAKEFILE:BOOL=ON -DBUILD_SHARED_LIBS=OFF -DSTARPU_DIR=$STARPUROOT/starpu_install -DBLAS_LIBRARIES="-Wl,--no-as-needed;-L${ARMPLROOT}/lib;${ARMPLLIBS};-lpthread;-lm;-ldl" -DBLAS_COMPILER_FLAGS="-I${ARMPLROOT}/include" -DLAPACK_LIBRARIES="-Wl,--no-as-needed;-L${ARMPLROOT}/lib;${ARMPLLIBS} -lpthread;-lm;-ldl" -DCBLAS_DIR="${ARMPLROOT}" -DLAPACKE_DIR="${ARMPLROOT}" -DMPI_C_COMPILER=`which cc` -DEXAGEOSTAT_USE_HICMA=OFF -DEXAGEOSTAT_USE_NETCDF=OFF -DEXAGEOSTAT_USE_MPI=1 +make -j 4 && make install \ No newline at end of file diff --git a/misc_scripts/build-gpu-summit.sh b/misc_scripts/build-gpu-summit.sh new file mode 100644 index 0000000..1d25b89 --- /dev/null +++ b/misc_scripts/build-gpu-summit.sh @@ -0,0 +1,139 @@ +export SETUP_DIR=$PWD +module load gcc/4.8.5 +module load openblas/0.3.5-nothreads +module load cuda/9.2.148 +module load cmake/3.9.2 +pause_info(){ + echo "Please press enter key to proceed"; read + echo "=================" +} + pause_info + +echo 'module load gcc/4.8.5' >> $SETUP_DIR/pkg_config.sh +echo 'module load openblas/0.3.5-nothreads' >> $SETUP_DIR/pkg_config.sh +echo 'module load cuda/9.2.148' >> $SETUP_DIR/pkg_config.sh +echo 'module load cmake/3.9.2' >> $SETUP_DIR/pkg_config.sh +================== NLOPT +export SETUP_DIR=$PWD +rm -rf exageostatr +cd $SETUP_DIR +if [ ! -d "nlopt-2.4.2" ]; then + wget http://ab-initio.mit.edu/nlopt/nlopt-2.4.2.tar.gz + tar -zxvf nlopt-2.4.2.tar.gz +fi +cd nlopt-2.4.2 +[[ -d nlopt_install ]] || mkdir nlopt_install + ./configure --prefix=$PWD/nlopt_install/ --enable-shared --without-guile +make -j +make -j install +export NLOPTROOT=$PWD +export PKG_CONFIG_PATH=$NLOPTROOT/nlopt_install/lib/pkgconfig:$PKG_CONFIG_PATH +export LD_LIBRARY_PATH=$NLOPTROOT/nlopt_install/lib:$LD_LIBRARY_PATH +echo 'export PKG_CONFIG_PATH='$NLOPTROOT'/nlopt_install/lib/pkgconfig:$PKG_CONFIG_PATH' >> $SETUP_DIR/pkg_config.sh +echo 'export LD_LIBRARY_PATH='$NLOPTROOT'/nlopt_install/lib:$LD_LIBRARY_PATH' >> $SETUP_DIR/pkg_config.sh +pause_info +======================FXT +========================GSL +module load gsl +========================hwloc +cd $SETUP_DIR +if [ ! -d "hwloc-1.11.5" ]; then + wget https://download.open-mpi.org/release/hwloc/v1.11/hwloc-1.11.5.tar.gz + tar -zxvf hwloc-1.11.5.tar.gz +fi +cd hwloc-1.11.5 +[[ -d hwloc_install ]] || mkdir hwloc_install + + ./configure --prefix=$PWD/hwloc_install --disable-libxml2 -disable-pci --enable-shared=yes + +make -j +make -j install +export HWLOCROOT=$PWD +export PKG_CONFIG_PATH=$HWLOCROOT/hwloc_install/lib/pkgconfig:$PKG_CONFIG_PATH +export LD_LIBRARY_PATH=$HWLOCROOT/hwloc_install/lib:$LD_LIBRARY_PATH + +echo 'export PKG_CONFIG_PATH='$HWLOCROOT'/hwloc_install/lib/pkgconfig:$PKG_CONFIG_PATH' >> $SETUP_DIR/pkg_config.sh +echo 'export LD_LIBRARY_PATH='$HWLOCROOT'/hwloc_install/lib:$LD_LIBRARY_PATH' >> $SETUP_DIR/pkg_config.sh +pause_info + +#module load hwloc +==========================starpu +cd $SETUP_DIR +if [ ! -d "starpu-1.2.8" ]; then + wget http://starpu.gforge.inria.fr/files/starpu-1.2.8/starpu-1.2.8.tar.gz + tar -zxvf starpu-1.2.8.tar.gz +fi +cd starpu-1.2.8 +rm -rf starpu_install +[[ -d starpu_install ]] || mkdir starpu_install + +LDFLAGS=-L/sw/summit/cuda/9.2.148/lib64 FC=gfortran CC=gcc CXX=g++ ./configure --prefix=$PWD/starpu_install --disable-opencl --enable-cuda --enable-maxcudadev=6 --with-cuda-dir=/sw/summit/cuda/9.2.148 --with-cuda-include-dir=/sw/summit/cuda/9.2.148/include --with-cuda-lib-dir=/sw/summit/cuda/9.2.148/lib64 --disable-build-doc --disable-export-dynamic --disable-mpi-check --disable-full-gdb-information + +make -j +make -j install +export STARPUROOT=$PWD +export PKG_CONFIG_PATH=$STARPUROOT/starpu_install/lib/pkgconfig:$PKG_CONFIG_PATH +export LD_LIBRARY_PATH=$STARPUROOT/starpu_install/lib:$LD_LIBRARY_PATH +export CPATH=$STARPUROOT/starpu_install/include/starpu/1.2/:$CPATH + +echo 'export PKG_CONFIG_PATH='$STARPUROOT'/starpu_install/lib/pkgconfig:$PKG_CONFIG_PATH' >> $SETUP_DIR/pkg_config.sh +echo 'export LD_LIBRARY_PATH='$STARPUROOT'/starpu_install/lib:$LD_LIBRARY_PATH' >> $SETUP_DIR/pkg_config.sh +echo 'export CPATH='$STARPUROOT'/starpu_install/include/starpu/1.2/:$CPATH' >> $SETUP_DIR/pkg_config.sh + pause_info + ================================= +cd $SETUP_DIR +rm -rf exageostatr +# Check if we are already in exageostat repo dir or not. +if git -C $PWD remote -v | grep -q 'https://github.com/ecrc/exageostatr' +then + # we are, lets go to the top dir (where .git is) + until test -d $PWD/.git ; + do + cd .. + done; +else + git clone https://github.com/ecrc/exageostatr + cd exageostatr +fi +git pull +git submodule update --init --recursive + +export EXAGEOSTATDEVDIR=$PWD/src +cd $EXAGEOSTATDEVDIR +export CHAMELEONDIR=$EXAGEOSTATDEVDIR/hicma/chameleon +================= +## CHAMELEON +cd $CHAMELEONDIR +rm -rf build +mkdir -p build/install_dir +cd build + cmake .. -DCMAKE_CXX_COMPILER=g++ -DCMAKE_C_COMPILER=gcc -DCMAKE_Fortran_COMPILER=gfortran -DCMAKE_INSTALL_PREFIX=$PWD/install_dir -DCMAKE_COLOR_MAKEFILE:BOOL=ON -DCMAKE_VERBOSE_MAKEFILE:BOOL=ON -DBUILD_SHARED_LIBS=OFF -DCHAMELEON_ENABLE_EXAMPLE=OFF -DCHAMELEON_ENABLE_TESTING=ON -DCHAMELEON_ENABLE_TIMING=ON -DCHAMELEON_USE_MPI=ON -DCHAMELEON_USE_CUDA=ON -DCHAMELEON_SCHED_QUARK=OFF -DCHAMELEON_SCHED_STARPU=ON -DSTARPU_DIR=$STARPUROOT/starpu_install +make -j 4 # CHAMELEON parallel build seems to be fixed +make install + +export PKG_CONFIG_PATH=$CHAMELEONDIR/build/install_dir/lib/pkgconfig:$PKG_CONFIG_PATH +export LD_LIBRARY_PATH=$CHAMELEONDIR/build/install_dir/lib/:$LD_LIBRARY_PATH +export CPATH=$CHAMELEONDIR/build/install_dir/include/coreblas:$CPATH +export CPATH=/ccs/home/abdullsm/codes/exageostatr/src/hicma/chameleon/build/install_dir/include/:$CPATH + +echo 'export PKG_CONFIG_PATH='$CHAMELEONDIR'/build/install_dir/lib/pkgconfig:$PKG_CONFIG_PATH' >> $SETUP_DIR/pkg_config.sh +echo 'export LD_LIBRARY_PATH='$CHAMELEONDIR'/build/install_dir/lib/:$LD_LIBRARY_PATH' >> $SETUP_DIR/pkg_config.sh +echo 'export CPATH='$CHAMELEONDIR'/build/install_dir/include/coreblas:$CPATH' >> $SETUP_DIR/pkg_config.sh + +echo 'export CPATH='$CHAMELEONDIR'/build/install_dir/include:$CPATH' >> $SETUP_DIR/pkg_config.sh + pause_info + +================== +#exageostat +cd ~/develop +git clone https://github.com/ecrc/exageostat-dev +cd exageostat-dev +git submodule update --init --recursive + +rm -rf build +mkdir -p build/install_dir +cd build +cmake .. -DCMAKE_CXX_COMPILER=g++ -DCMAKE_C_COMPILER=gcc -DCMAKE_Fortran_COMPILER=gfortran -DCMAKE_INSTALL_PREFIX=$PWD/install_dir -DCMAKE_COLOR_MAKEFILE:BOOL=ON -DCMAKE_VERBOSE_MAKEFILE:BOOL=ON -DBUILD_SHARED_LIBS=OFF -DEXAGEOSTAT_USE_HICMA=OFF -DEXAGEOSTAT_USE_NETCDF=OFF -DEXAGEOSTAT_USE_MPI=ON -DEXAGEOSTAT_USE_CUDA=OFF -DCMAKE_BUILD_TYPE=Release -DCFLAGS="/sw/summit/cuda/9.2.148/include" + + +make && make install \ No newline at end of file diff --git a/sc20-artifacts/sc20-installation-scripts/intel-mkl-starpu1.2.9-installation-openmpi-script.sh b/misc_scripts/build-openmpi-mkl-mpi-starpu1.8-ibex.sh similarity index 96% rename from sc20-artifacts/sc20-installation-scripts/intel-mkl-starpu1.2.9-installation-openmpi-script.sh rename to misc_scripts/build-openmpi-mkl-mpi-starpu1.8-ibex.sh index b0b82e4..47ec902 100644 --- a/sc20-artifacts/sc20-installation-scripts/intel-mkl-starpu1.2.9-installation-openmpi-script.sh +++ b/misc_scripts/build-openmpi-mkl-mpi-starpu1.8-ibex.sh @@ -1,8 +1,6 @@ -module load gcc +module load gcc/6.4.0 module load openmpi module load intel -module load cmake -#module load cmake git clone https://github.com/ecrc/exageostat export EXAGEOSTATDEVDIR=$PWD/exageostat mkdir codes @@ -10,7 +8,6 @@ SETUP_DIR=$(pwd)/codes CUDAVALUE="OFF" MPIVALUE="ON" BUILD_DEPENDENCIES="true" -#MAKE=${MAKE:-make -j $(cpucores) -l $((cpucores + 1))} cd exageostat git pull @@ -18,6 +15,8 @@ git submodule update --init --recursive cd $SETUP_DIR +mv ../exageostat/hicma ./ +mv ../exageostat/stars-h ./ export HICMADIR=$PWD/hicma export CHAMELEONDIR=$PWD/hicma/chameleon export STARSHDIR=$PWD/stars-h @@ -84,8 +83,6 @@ else fi fi -#module load mpich/3.3/gnu6.4.0-cuda9.2 - # hwloc if pkg-config --exists hwloc then @@ -118,8 +115,6 @@ else fi fi - - # StarPU if pkg-config --exists starpu-1.2 @@ -131,8 +126,8 @@ else then echo "Building StarPU..." cd $SETUP_DIR - wget http://starpu.gforge.inria.fr/files/starpu-1.2.9/starpu-1.2.9.tar.gz -O - | tar -zx - cd starpu-1.2.9 + wget http://starpu.gforge.inria.fr/files/starpu-1.2.8/starpu-1.2.8.tar.gz -O - | tar -zx + cd starpu-1.2.8 [[ -d starpu_install ]] || mkdir starpu_install sed -i 's/MPI_Address/MPI_Get_address/g' mpi/examples/user_datatype/my_interface.c if [ "$CUDAVALUE" == "ON" ]; then @@ -167,6 +162,7 @@ sed -i 's/MPI_Address/MPI_Get_address/g' mpi/examples/user_datatype/my_interface fi fi +module load cmake/3.13.4/gnu-6.4.0 # CHAMELEON if pkg-config --exists chameleon then @@ -200,8 +196,6 @@ else fi fi - - # starsh if pkg-config --exists --atleast-version=0.1.1 starsh then @@ -236,8 +230,6 @@ fi module unload cmake module load cmake/3.9.4/gnu-6.4.0 -#export PATH=$PATH:/sw/csgv/openmpi/4.0.1/el7.6_gnu6.4.0_cuda10.1.105/bin -#export CPATH=$CPATH:/sw/csgv/openmpi/4.0.1/el7.6_gnu6.4.0_cuda10.1.105/bin # hicma if pkg-config --exists hicma then @@ -257,7 +249,6 @@ else export PKG_CONFIG_PATH=$HICMADIR/build/install_dir/lib/pkgconfig:$PKG_CONFIG_PATH export LD_LIBRARY_PATH=$HICMADIR/build/install_dir/lib:$LD_LIBRARY_PATH - echo 'export PKG_CONFIG_PATH='$HICMADIR'/build/install_dir/lib/pkgconfig:$PKG_CONFIG_PATH' >> $SETUP_DIR/pkg_config_cpu.sh echo 'export LD_LIBRARY_PATH='$HICMADIR'/build/install_dir/lib:$LD_LIBRARY_PATH' >> $SETUP_DIR/pkg_config_cpu.sh else @@ -270,10 +261,6 @@ else fi fi - - - - # exageostat if pkg-config --exists exageostat then @@ -299,6 +286,4 @@ else echo "" err=1 fi -fi - - +fi \ No newline at end of file diff --git a/sc20-artifacts/sc20-installation-scripts/v100-cuda-openblas-starpu1.2.9-installation-script.sh b/misc_scripts/build-openmpi-openblas-cuda10-starpu1.8-ibex.sh similarity index 97% rename from sc20-artifacts/sc20-installation-scripts/v100-cuda-openblas-starpu1.2.9-installation-script.sh rename to misc_scripts/build-openmpi-openblas-cuda10-starpu1.8-ibex.sh index cc347fe..e1f1a00 100644 --- a/sc20-artifacts/sc20-installation-scripts/v100-cuda-openblas-starpu1.2.9-installation-script.sh +++ b/misc_scripts/build-openmpi-openblas-cuda10-starpu1.8-ibex.sh @@ -1,10 +1,6 @@ -module load gcc -module load cuda -module load openmpi -module load cmake -#module load cmake/3.13.4/gnu-6.4.0 (do not use) - -#module load cmake +module load gcc/6.4.0 +module load cuda/10.1.105 +module load openmpi/4.0.1/gnu6.4.0_cuda10.1.105 git clone https://github.com/ecrc/exageostat export EXAGEOSTATDEVDIR=$PWD/exageostat mkdir codes @@ -12,13 +8,15 @@ SETUP_DIR=$(pwd)/codes CUDAVALUE="ON" MPIVALUE="ON" BUILD_DEPENDENCIES="true" -#MAKE=${MAKE:-make -j $(cpucores) -l $((cpucores + 1))} cd exageostat git pull git submodule update --init --recursive cd $SETUP_DIR + +mv ../exageostat/hicma ./ +mv ../exageostat/stars-h ./ export HICMADIR=$PWD/hicma export CHAMELEONDIR=$PWD/hicma/chameleon export STARSHDIR=$PWD/stars-h @@ -53,7 +51,6 @@ else fi fi - # gsl if pkg-config --exists --atleast-version=2 gsl then @@ -116,8 +113,6 @@ else fi fi -#module load mpich/3.3/gnu6.4.0-cuda9.2 - # hwloc if pkg-config --exists hwloc then @@ -150,8 +145,6 @@ else fi fi - - # StarPU if pkg-config --exists starpu-1.2 @@ -169,9 +162,9 @@ else sed -i 's/MPI_Address/MPI_Get_address/g' mpi/examples/user_datatype/my_interface.c if [ "$CUDAVALUE" == "ON" ]; then if [ "$MPIVALUE" == "ON" ]; then - CFLAGS=-w ./configure --disable-starpufft --enable-cuda --disable-opencl --prefix=$PWD/starpu_install --enable-blas-lib=none --disable-starpu-top --disable-starpufft --disable-build-doc --disable-starpufft-examples --disable-fortran --with-perf-model-dir=$PWD/starpu_install --enable-maxcudadev=8 + CFLAGS=-w ./configure --disable-starpufft --enable-cuda --disable-opencl --prefix=$PWD/starpu_install --enable-blas-lib=none --disable-starpu-top --disable-starpufft --disable-build-doc --disable-starpufft-examples --disable-fortran --with-perf-model-dir=$PWD/starpu_install else - CFLAGS=-w ./configure --disable-starpufft --enable-cuda --disable-opencl --prefix=$PWD/starpu_install --enable-blas-lib=none --disable-starpu-top --disable-starpufft --disable-build-doc --disable-starpufft-examples --disable-mpi --disable-fortran --with-perf-model-dir=$PWD/starpu_install --enable-maxcudadev=8 + CFLAGS=-w ./configure --disable-starpufft --enable-cuda --disable-opencl --prefix=$PWD/starpu_install --enable-blas-lib=none --disable-starpu-top --disable-starpufft --disable-build-doc --disable-starpufft-examples --disable-mpi --disable-fortran --with-perf-model-dir=$PWD/starpu_install fi else if [ "$MPIVALUE" == "ON" ]; then @@ -199,6 +192,7 @@ sed -i 's/MPI_Address/MPI_Get_address/g' mpi/examples/user_datatype/my_interface fi fi +module load cmake/3.13.4/gnu-6.4.0 # CHAMELEON if pkg-config --exists chameleon then @@ -232,8 +226,6 @@ else fi fi - - # starsh if pkg-config --exists --atleast-version=0.1.1 starsh then @@ -265,6 +257,9 @@ else fi fi +module unload cmake + +module load cmake/3.9.4/gnu-6.4.0 export PATH=$PATH:/sw/csgv/openmpi/4.0.1/el7.6_gnu6.4.0_cuda10.1.105/bin export CPATH=$CPATH:/sw/csgv/openmpi/4.0.1/el7.6_gnu6.4.0_cuda10.1.105/bin # hicma @@ -299,7 +294,6 @@ else fi fi - # exageostat if pkg-config --exists exageostat then @@ -325,6 +319,4 @@ else echo "" err=1 fi -fi - - +fi \ No newline at end of file diff --git a/sc20-artifacts/sc20-installation-scripts/build-w-gpu-without-mpi.sh b/misc_scripts/build-w-gpu-without-mpi.sh similarity index 93% rename from sc20-artifacts/sc20-installation-scripts/build-w-gpu-without-mpi.sh rename to misc_scripts/build-w-gpu-without-mpi.sh index 9e38248..c0c5ffc 100644 --- a/sc20-artifacts/sc20-installation-scripts/build-w-gpu-without-mpi.sh +++ b/misc_scripts/build-w-gpu-without-mpi.sh @@ -6,19 +6,16 @@ module load cuda/9.0 module load magma/2.3.0-gcc-5.5.0-openblas-cuda-9.0 module load cmake/3.9.6 module load hwloc/1.11.8-gcc-5.5.0 -#module load openmpi/3.0.0-gcc-5.5.0 module load fxt/0.3.7-gcc-5.5.0 - module load starpu/1.2.4-gcc-5.5.0-cuda-9.0-openblas-openmpi-3.0.0-fxt +module load starpu/1.2.4-gcc-5.5.0-cuda-9.0-openblas-openmpi-3.0.0-fxt module load gsl/2.4-gcc-5.5.0 module load nlopt/2.4.2-gcc-5.5.0 module load r/3.2.3 module load hdf5/1.10.1-gcc-5.5.0 module load netcdf/4.5.0-gcc-5.5.0 - git config --global credential.helper 'cache --timeout=36000' - # BASH verbose mode #set -x SETUP_DIR="/home/abdullsm/codes" @@ -111,11 +108,6 @@ echo 'module load r/3.2.3' >> ~/.bashrc echo 'module load hdf5/1.10.1-gcc-5.5.0' >> ~/.bashrc echo 'module load netcdf/4.5.0-gcc-5.5.0' >> ~/.bashrc -#MKL -#echo '. '$MKLROOT'/bin/mklvars.sh intel64' >> ~/.bashrc -#echo 'export MKLROOT='$MKL_DIR >> ~/.bashrc -#echo 'export LD_PRELOAD='$MKL_DIR'/lib/intel64/libmkl_core.so:'$MKL_DIR'/lib/intel64/libmkl_sequential.so' >> ~/.bashrc - #starpu echo 'export PKG_CONFIG_PATH='$STARPUROOT'/starpu_install/lib/pkgconfig:$PKG_CONFIG_PATH' >> ~/.bashrc echo 'export LD_LIBRARY_PATH='$STARPUROOT'/starpu_install/lib:$LD_LIBRARY_PATH' >> ~/.bashrc diff --git a/misc_scripts/build-without-mpi.sh b/misc_scripts/build-without-mpi.sh new file mode 100755 index 0000000..b9763c8 --- /dev/null +++ b/misc_scripts/build-without-mpi.sh @@ -0,0 +1,123 @@ +#!/bin/bash -le +module load ecrc-extras +module load mkl/2018-initial +module load gcc/5.5.0 +module load cmake/3.9.6 +module load hwloc/1.11.8-gcc-5.5.0 +module load fxt/0.3.7-gcc-5.5.0 +module load starpu/1.2.6-gcc-5.5.0-mkl-openmpi-3.0.0-fxt +module load gsl/2.4-gcc-5.5.0 +module load nlopt/2.4.2-gcc-5.5.0 +module load r/3.2.3 +module load hdf5/1.10.1-gcc-5.5.0 +module load netcdf/4.5.0-gcc-5.5.0 + + +git config --global credential.helper 'cache --timeout=36000' + + +# BASH verbose mode +#set -x +SETUP_DIR="/home/abdullsm/codes" + +echo 'The installation directory is '$SETUP_DIR +echo 'The mkl root directory is '$MKL_DIR + +#***************************************************************************** clean bashrc from previous installation +sed -i '/## EXAGEOSTAT-INSTALLATION-BEGIN/,/## EXAGEOSTAT-INSTALLATION-END/d' ~/.bashrc +#************************************************************************ Install Chameleon - Stars-H - HiCMA +cd $SETUP_DIR +# Check if we are already in exageostat repo dir or not. +[[ -d trash ]] || mkdir trash +DATE=`date +%Y-%m-%d` +if [ -d exageostat-dev ]; then + rm -rf ./trash/$DATE/ + mv ./exageostat-dev ./trash/$DATE/ +fi +if [ -d hicma ]; then + rm -rf ./trash/$DATE/ + mv ./hicma ./trash/$DATE/ +fi +if [ -d chameleon ]; then + rm -rf ./trash/$DATE/ + mv ./chameleon ./trash/$DATE/ +fi +if [ -d stars-h ]; then + rm -rf ./trash/$DATE/ + mv ./stars-h ./trash/$DATE/ +fi + +git clone https://github.com/ecrc/exageostat-dev +cd exageostat-dev +git submodule update --init --recursive +EXAGEOSTATROOT=$PWD +#Copy hicma, and stars-H to set_up directory +mv stars-h $SETUP_DIR +mv hicma $SETUP_DIR +############################# Chameleon Installation +cd $SETUP_DIR +cd hicma +cd chameleon +CHAMELEONROOT=$PWD +echo $CHAMELEONROOT +mkdir -p build/installdir +cd build +CC=gcc cmake .. -DCMAKE_BUILD_TYPE=Debug -DCHAMELEON_USE_MPI=OFF -DCMAKE_INSTALL_PREFIX=$PWD/installdir -DBUILD_SHARED_LIBS=ON +make -j +make install +export PKG_CONFIG_PATH=$CHAMELEONROOT/build/installdir/lib/pkgconfig:$PKG_CONFIG_PATH +export LD_LIBRARY_PATH=$CHAMELEONROOT/build/installdir/lib:$LD_LIBRARY_PATH +############################# Stars-H Installation +cd $SETUP_DIR +cd stars-h +STARSHROOT=$PWD +mkdir -p build/installdir +cd build +CC=gcc cmake .. -DCMAKE_INSTALL_PREFIX=$PWD/installdir/ -DCMAKE_C_FLAGS=-fPIC -DMPI=OFF -DOPENMP=OFF -DSTARPU=OFF +make -j +make install +export PKG_CONFIG_PATH=$STARSHROOT/build/installdir/lib/pkgconfig:$PKG_CONFIG_PATH +export LD_LIBRARY_PATH=$STARSHROOT/build/installdir/lib:$LD_LIBRARY_PATH +############################# HiCMA Installation +cd $SETUP_DIR +cd hicma +HICMAROOT=$PWD +mkdir -p build/installdir +cd build +CC=gcc cmake .. -DCMAKE_INSTALL_PREFIX=$PWD/installdir -DHICMA_USE_MPI=OFF -DCMAKE_C_FLAGS=-fPIC +make -j +make install +export PKG_CONFIG_PATH=$HICMAROOT/build/installdir/lib/pkgconfig:$PKG_CONFIG_PATH +export LD_LIBRARY_PATH=$HICMAROOT/build/installdir/lib:$LD_LIBRARY_PATH +#***************************************************************************** edit bashrc file +echo '## EXAGEOSTAT-INSTALLATION-BEGIN' >> ~/.bashrc +echo 'module load ecrc-extras' >> ~/.bashrc +echo 'module load mkl/2018-initial' >> ~/.bashrc +echo 'module load gcc/5.5.0' >> ~/.bashrc +echo 'module load cmake/3.9.6' >> ~/.bashrc +echo 'module load hwloc/1.11.8-gcc-5.5.0' >> ~/.bashrc +echo 'module load fxt/0.3.7-gcc-5.5.0' >> ~/.bashrc +echo 'module load starpu/1.2.6-gcc-5.5.0-mkl-openmpi-3.0.0-fxt' >> ~/.bashrc +echo 'module load gsl/2.4-gcc-5.5.0' >> ~/.bashrc +echo 'module load nlopt/2.4.2-gcc-5.5.0' >> ~/.bashrc +echo 'module load r/3.2.3' >> ~/.bashrc +echo 'module load hdf5/1.10.1-gcc-5.5.0' >> ~/.bashrc +echo 'module load netcdf/4.5.0-gcc-5.5.0' >> ~/.bashrc + +#starpu +echo 'export PKG_CONFIG_PATH='$STARPUROOT'/starpu_install/lib/pkgconfig:$PKG_CONFIG_PATH' >> ~/.bashrc +echo 'export LD_LIBRARY_PATH='$STARPUROOT'/starpu_install/lib:$LD_LIBRARY_PATH' >> ~/.bashrc +#CHAMELEON +echo 'export PKG_CONFIG_PATH='$CHAMELEONROOT'/build/installdir/lib/pkgconfig:$PKG_CONFIG_PATH' >> ~/.bashrc +echo 'export LD_LIBRARY_PATH='$CHAMELEONROOT'/build/installdir/lib:$LD_LIBRARY_PATH' >> ~/.bashrc +#HICMA +echo 'export PKG_CONFIG_PATH='$HICMAROOT'/build/installdir/lib/pkgconfig:$PKG_CONFIG_PATH' >> ~/.bashrc +echo 'export LD_LIBRARY_PATH='$HICMAROOT'/build/installdir/lib:$LD_LIBRARY_PATH' >> ~/.bashrc +echo 'export CPATH='$HICMAROOT'/build/installdir/include:$CPATH' >> ~/.bashrc +#STARS-H +echo 'export PKG_CONFIG_PATH='$STARSHROOT'/build/installdir/lib/pkgconfig:$PKG_CONFIG_PATH' >> ~/.bashrc +echo 'export LD_LIBRARY_PATH='$STARSHROOT'/build/installdir/lib:$LD_LIBRARY_PATH' >> ~/.bashrc +echo 'export CPATH='$STARSHROOT'/build/installdir/include:$CPATH' >> ~/.bashrc +#end +echo '## EXAGEOSTAT-INSTALLATION-END' >> ~/.bashrc +################################################################################## \ No newline at end of file diff --git a/sc20-artifacts/sc20-installation-scripts/cray-xc40-installation-script.sh b/misc_scripts/cray-xc40-installation-script.sh similarity index 98% rename from sc20-artifacts/sc20-installation-scripts/cray-xc40-installation-script.sh rename to misc_scripts/cray-xc40-installation-script.sh index 885f125..165eb37 100644 --- a/sc20-artifacts/sc20-installation-scripts/cray-xc40-installation-script.sh +++ b/misc_scripts/cray-xc40-installation-script.sh @@ -106,7 +106,7 @@ mkdir -p build/install_dir cd build -LDFLAGS=-lrt cmake .. -DCMAKE_CXX_COMPILER=CC -DCMAKE_C_COMPILER=cc -DCMAKE_Fortran_COMPILER=ftn -DCMAKE_INSTALL_PREFIX=$PWD/install_dir -DCMAKE_COLOR_MAKEFILE:BOOL=ON -DCMAKE_VERBOSE_MAKEFILE:BOOL=ON -DBUILD_SHARED_LIBS=OFF -DCHAMELEON_ENABLE_EXAMPLE=ON -DCHAMELEON_ENABLE_TESTING=ON -DCHAMELEON_ENABLE_TIMING=ON -DCHAMELEON_USE_MPI=ON -DCHAMELEON_USE_CUDA=OFF -DCHAMELEON_USE_MAGMA=OFF -DCHAMELEON_SCHED_QUARK=OFF -DCHAMELEON_SCHED_STARPU=ON -DCHAMELEON_USE_FXT=OFF -DSTARPU_DIR=$STARPUROOT/starpu_install -DBLAS_LIBRARIES="-Wl,--no-as-needed;-L${MKLROOT}/lib;-lmkl_intel_lp64;-lmkl_core;-lmkl_sequential;-lpthread;-lm;-ldl" -DBLAS_COMPILER_FLAGS="-m64;-I${MKLROOT}/include" -DLAPACK_LIBRARIES="-Wl,--no-as-needed;-L${MKLROOT}/lib;-lmkl_intel_lp64;-lmkl_core;-lmkl_sequential;-lpthread;-lm;-ldl" -DCBLAS_DIR="${MKLROOT}" -DLAPACKE_DIR="${MKLROOT}" -DTMG_DIR="${MKLROOT}" -DMORSE_VERBOSE_FIND_PACKAGE=ON -DMPI_C_COMPILER=/opt/cray/pe/craype/2.6.3/bin/cc +LDFLAGS=-lrt cmake .. -DCMAKE_CXX_COMPILER=CC -DCMAKE_C_COMPILER=cc -DCMAKE_Fortran_COMPILER=ftn -DCMAKE_INSTALL_PREFIX=$PWD/install_dir -DCMAKE_COLOR_MAKEFILE:BOOL=ON -DCMAKE_VERBOSE_MAKEFILE:BOOL=ON -DBUILD_SHARED_LIBS=OFF -DCHAMELEON_ENABLE_EXAMPLE=ON -DCHAMELEON_ENABLE_TESTING=ON -DCHAMELEON_ENABLE_TIMING=ON -DCHAMELEON_USE_MPI=ON -DCHAMELEON_USE_CUDA=OFF -DCHAMELEON_USE_MAGMA=OFF -DCHAMELEON_SCHED_QUARK=OFF -DCHAMELEON_SCHED_STARPU=ON -DCHAMELEON_USE_FXT=OFF -DSTARPU_DIR=$STARPUROOT/starpu_install -DBLAS_LIBRARIES="-Wl,--no-as-needed;-L${MKLROOT}/lib;-lmkl_intel_lp64;-lmkl_core;-lmkl_sequential;-lpthread;-lm;-ldl" -DBLAS_COMPILER_FLAGS="-m64;-I${MKLROOT}/include" -DLAPACK_LIBRARIES="-Wl,--no-as-needed;-L${MKLROOT}/lib;-lmkl_intel_lp64;-lmkl_core;-lmkl_sequential;-lpthread;-lm;-ldl" -DCBLAS_DIR="${MKLROOT}" -DLAPACKE_DIR="${MKLROOT}" -DTMG_DIR="${MKLROOT}" -DCHAMELEON_VERBOSE_FIND_PACKAGE=ON -DMPI_C_COMPILER=/opt/cray/pe/craype/2.6.3/bin/cc make -j # CHAMELEON parallel build seems to be fixed diff --git a/misc_scripts/install-script-shared-mkl-nomodules.sh b/misc_scripts/install-script-shared-mkl-nomodules.sh new file mode 100644 index 0000000..f40e700 --- /dev/null +++ b/misc_scripts/install-script-shared-mkl-nomodules.sh @@ -0,0 +1,251 @@ +#!/bin/bash -x + + +# variables +export BASEDIR=$PWD +export SETUP_DIR="/home/qadirga/codes" +export TMPDIR=/tmp/_$$ + +mkdir -p $TMPDIR + +#SETUP_DIR=$1 +if [ -z "$SETUP_DIR" ]; then +# Use RLIBS for setup dir +arr=(`Rscript -e '.libPaths()' | gawk '{printf "%s ",$2}'`) +for i in ${!arr[*]}; +do + dir=`echo ${arr[$i]}|tr -d \"` + if [ -d "$dir" ] && [ -w "$dir" ] + then + SETUP_DIR="$dir/exageostat" + break + fi +done +fi +mkdir -p $SETUP_DIR + +if [ -z "$SETUP_DIR" ] +then + echo "Check your .libPaths() in R. Could not find a writable directory." + exit 1; +fi + +if [ -n "$MKLROOT" ] && [ -d "$MKLROOT" ]; then + echo "mkl_dir directory exists!" + echo "Great... continue set-up" +else + echo "MKLROOT Directory does not exist!... Please define and export MKLROOT variable" + exit 1 +fi +PREFIX=$SETUP_DIR + + +echo 'The installation directory is '$SETUP_DIR +echo 'The mkl root directory is '$MKLROOT + +############################## Check OS +echo "Finding the current os type" +echo +osType=$(uname) +case "$osType" in + "Darwin") + { + echo "Running on Mac OSX." + CURRENT_OS="OSX" + } ;; + "Linux") + { + echo "Running on LINUX." + CURRENT_OS="LINUX" + } ;; + *) + { + echo "Unsupported OS, exiting" + exit + } ;; + +esac + +################################################# +export MKLROOT=$MKLROOT +. $MKLROOT/bin/mklvars.sh intel64 + + + +export PKG_CONFIG_PATH=$PREFIX/lib/pkgconfig:$PKG_CONFIG_PATH +rpaths="-Wl,-rpath=$PREFIX/lib -Wl,-rpath=$PREFIX/libs -L$PREFIX/lib " +echo "LDFLAGS += $rpaths " >> src/Makefile + +#***************************************************************************** +set -e + +if [ $CURRENT_OS == "LINUX" ] +then + export LD_LIBRARY_PATH=$PREFIX/lib:$LD_LIBRARY_PATH +else + export DYLD_LIBRARY_PATH=$PREFIX/lib:$DYLD_LIBRARY_PATH +fi + +#*****************************************************************************install Nlopt +cd $SETUP_DIR +if [ ! -d "nlopt-2.4.2" ]; then + wget http://ab-initio.mit.edu/nlopt/nlopt-2.4.2.tar.gz + tar -zxvf nlopt-2.4.2.tar.gz +fi +cd nlopt-2.4.2 +[[ -d nlopt_install ]] || mkdir nlopt_install +./configure --prefix=$PWD/nlopt_install/ --enable-shared --without-guile +make -j +make -j install +export NLOPTROOT=$PWD +export PKG_CONFIG_PATH=$NLOPTROOT/nlopt_install/lib/pkgconfig:$PKG_CONFIG_PATH +export LD_LIBRARY_PATH=$NLOPTROOT/nlopt_install/lib:$LD_LIBRARY_PATH + +echo 'export PKG_CONFIG_PATH='$NLOPTROOT'/nlopt_install/lib/pkgconfig:$PKG_CONFIG_PATH' >> $SETUP_DIR/pkg_config.sh +echo 'export LD_LIBRARY_PATH='$NLOPTROOT'/nlopt_install/lib:$LD_LIBRARY_PATH' >> $SETUP_DIR/pkg_config.sh + +#========================hwloc +cd $SETUP_DIR +if [ ! -d "hwloc-2.0.2" ]; then + wget https://download.open-mpi.org/release/hwloc/v2.0/hwloc-2.0.2.tar.gz + tar -zxvf hwloc-2.0.2.tar.gz +fi +cd hwloc-2.0.2 +[[ -d hwloc_install ]] || mkdir hwloc_install +./configure --prefix=$PWD/hwloc_install --disable-libxml2 -disable-pci --enable-shared=yes + +make -j +make -j install +export HWLOCROOT=$PWD +export PKG_CONFIG_PATH=$HWLOCROOT/hwloc_install/lib/pkgconfig:$PKG_CONFIG_PATH +export LD_LIBRARY_PATH=$HWLOCROOT/hwloc_install/lib:$LD_LIBRARY_PATH +echo 'export PKG_CONFIG_PATH='$HWLOCROOT'/hwloc_install/lib/pkgconfig:$PKG_CONFIG_PATH' >> $SETUP_DIR/pkg_config.sh +echo 'export LD_LIBRARY_PATH='$HWLOCROOT'/hwloc_install/lib:$LD_LIBRARY_PATH' >> $SETUP_DIR/pkg_config.sh +#================================ +cd $SETUP_DIR +if [ ! -d "gsl-2.4" ]; then + wget https://ftp.gnu.org/gnu/gsl/gsl-2.4.tar.gz + tar -zxvf gsl-2.4.tar.gz +fi +cd gsl-2.4 +[[ -d gsl_install ]] || mkdir gsl_install + ./configure --prefix=$PWD/gsl_install/ +make -j +make -j install +export GSLROOT=$PWD +export PKG_CONFIG_PATH=$GSLROOT/gsl_install/lib/pkgconfig:$PKG_CONFIG_PATH +export LD_LIBRARY_PATH=$GSLROOT/gsl_install/lib:$LD_LIBRARY_PATH + +echo 'export PKG_CONFIG_PATH='$GSLROOT'/gsl_install/lib/pkgconfig:$PKG_CONFIG_PATH' >> $SETUP_DIR/pkg_config.sh +echo 'export LD_LIBRARY_PATH='$GSLROOT'/gsl_install/lib:$LD_LIBRARY_PATH' >> $SETUP_DIR/pkg_config.sh +#================================ +#================================ +cd $SETUP_DIR +if [ ! -d "starpu-1.2.5" ]; then + wget http://starpu.gforge.inria.fr/files/starpu-1.2.5/starpu-1.2.5.tar.gz + tar -zxvf starpu-1.2.5.tar.gz +fi +cd starpu-1.2.5 +[[ -d starpu_install ]] || mkdir starpu_install +./configure --prefix=$SETUP_DIR/starpu-1.2.5/starpu_install -disable-cuda --disable-opencl --enable-shared --disable-build-doc --disable-export-dynamic --disable-mpi-check +make -j +make -j install +export STARPUROOT=$PWD +export PKG_CONFIG_PATH=$STARPUROOT/starpu_install/lib/pkgconfig:$PKG_CONFIG_PATH +export LD_LIBRARY_PATH=$STARPUROOT/starpu_install/lib:$LD_LIBRARY_PATH +export CPATH=$STARPUROOT/starpu_install/include/starpu/1.2:$CPATH +echo 'export PKG_CONFIG_PATH='$STARPUROOT'/starpu_install/lib/pkgconfig:$PKG_CONFIG_PATH' >> $SETUP_DIR/pkg_config.sh +echo 'export LD_LIBRARY_PATH='$STARPUROOT'/starpu_install/lib:$LD_LIBRARY_PATH' >> $SETUP_DIR/pkg_config.sh +echo 'export CPATH='$STARPUROOT'/starpu_install/include/starpu/1.2:$CPATH' >> $SETUP_DIR/pkg_config.sh + +#************************************************************************ Install Chameleon - Stars-H - HiCMA +cd $SETUP_DIR +# Check if we are already in exageostat repo dir or not. +if git -C $PWD remote -v | grep -q 'https://github.com/ecrc/exageostatr' +then + # we are, lets go to the top dir (where .git is) + until test -d $PWD/.git ; + do + cd .. + done; +else + git clone https://github.com/ecrc/exageostatr + cd exageostatr +fi +git pull +git submodule update --init --recursive + +export EXAGEOSTATDEVDIR=$PWD/src +cd $EXAGEOSTATDEVDIR +rm -rf hicma +rm -rf stars-h +git clone https://github.com/SAbdulah/hicma +cd hicma +git submodule update --init --recursive +cd .. +git clone https://github.com/SAbdulah/stars-h +cd stars-h +git submodule update --init --recursive +cd .. +export HICMADIR=$EXAGEOSTATDEVDIR/hicma +export CHAMELEONDIR=$EXAGEOSTATDEVDIR/hicma/chameleon +export STARSHDIR=$EXAGEOSTATDEVDIR/stars-h + +## STARS-H +cd $STARSHDIR +rm -rf build +mkdir -p build/install_dir + + +cd build + +cmake .. -DCMAKE_INSTALL_PREFIX=$STARSHDIR/build/install_dir -DMPI=OFF -DOPENMP=OFF -DSTARPU=OFF -DCMAKE_C_FLAGS="-fPIC" + +make -j +make install + +export PKG_CONFIG_PATH=$STARSHDIR/build/install_dir/lib/pkgconfig:$PKG_CONFIG_PATH +export LD_LIBRARY_PATH=$STARSHDIR/build/install_dir/lib:$LD_LIBRARY_PATH + +echo 'export PKG_CONFIG_PATH='$STARSHDIR'/build/install_dir/lib/pkgconfig:$PKG_CONFIG_PATH' >> $SETUP_DIR/pkg_config.sh +echo 'export PKG_CONFIG_PATH='$STARSHDIR'/build/install_dir/lib/pkgconfig:$PKG_CONFIG_PATH' >> $SETUP_DIR/pkg_config.sh + +## CHAMELEON +cd $CHAMELEONDIR +rm -rf build +mkdir -p build/install_dir +cd build + + + cmake .. -DCMAKE_INSTALL_PREFIX=$PWD/install_dir -DCMAKE_COLOR_MAKEFILE:BOOL=ON -DCMAKE_VERBOSE_MAKEFILE:BOOL=ON -DBUILD_SHARED_LIBS=ON -DCHAMELEON_ENABLE_EXAMPLE=ON -DCHAMELEON_ENABLE_TESTING=ON -DCHAMELEON_ENABLE_TIMING=ON -DCHAMELEON_USE_MPI=OFF -DCHAMELEON_USE_CUDA=OFF -DCHAMELEON_USE_MAGMA=OFF -DCHAMELEON_SCHED_QUARK=OFF -DCHAMELEON_SCHED_STARPU=ON -DCHAMELEON_USE_FXT=OFF -DSTARPU_DIR=$STARPUROOT/starpu_install -DCHAMELEON_VERBOSE_FIND_PACKAGE=ON + +make -j # CHAMELEON parallel build seems to be fixed +make install + +export PKG_CONFIG_PATH=$CHAMELEONDIR/build/install_dir/lib/pkgconfig:$PKG_CONFIG_PATH +export LD_LIBRARY_PATH=$CHAMELEONDIR/build/install_dir/lib:$LD_LIBRARY_PATH +export CPATH=$CHAMELEONDIR/build/install_dir/include/coreblas:$CPATH + + +echo 'export PKG_CONFIG_PATH='$CHAMELEONDIR'/build/install_dir/lib/pkgconfig:$PKG_CONFIG_PATH' >> $SETUP_DIR/pkg_config.sh +echo 'export LD_LIBRARY_PATH='$CHAMELEONDIR'/build/install_dir/lib:$LD_LIBRARY_PATH' >> $SETUP_DIR/pkg_config.sh +echo 'export CPATH='$CHAMELEONDIR'/build/install_dir/include/coreblas:$CPATH' >> $SETUP_DIR/pkg_config.sh + +#HICMA +cd $HICMADIR +rm -rf build +mkdir -p build/install_dir +cd build +#=============== +cmake .. -DCMAKE_INSTALL_PREFIX=$PWD/install_dir -DCMAKE_COLOR_MAKEFILE:BOOL=ON -DCMAKE_VERBOSE_MAKEFILE:BOOL=ON -DBUILD_SHARED_LIBS=ON -DHICMA_USE_MPI=OFF + +make -j +make install + +export PKG_CONFIG_PATH=$HICMADIR/build/install_dir/lib/pkgconfig:$PKG_CONFIG_PATH +export LD_LIBRARY_PATH=$HICMADIR/build/install_dir/lib:$LD_LIBRARY_PATH + + +echo 'export PKG_CONFIG_PATH='$HICMADIR'/build/install_dir/lib/pkgconfig:$PKG_CONFIG_PATH' >> $SETUP_DIR/pkg_config.sh +echo 'export LD_LIBRARY_PATH='$HICMADIR'/build/install_dir/lib:$LD_LIBRARY_PATH' >> $SETUP_DIR/pkg_config.sh + diff --git a/plasma_version/MLE.c b/plasma_version/MLE.c new file mode 100755 index 0000000..f14a9c6 --- /dev/null +++ b/plasma_version/MLE.c @@ -0,0 +1,2719 @@ +/** + * + * @file MLE.c + * + * MLE is a software package provided by KAUST, + * King Abdullah University of Science and Technology - ECRC + * + * @version 1.0.0 + * @author Sameh Abdulsh + * @date 2021-01-24 + * + **/ +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include "flops.h" +#include +#include + + +// For Bessel Function (Do not change) +#define ACC 40.0 +#define BIGNO 1.0e10 +#define BIGNI 1.0e-10 +//tiling +#define BLKLDD(A, k) ( ( (k) + (A).i/(A).mb) < (A).lm1 ? (A).mb : (A).lm%(A).mb ) +#define mBLKLDD(A, k) A->get_blkldd( A,k ) +#define A(m,n) (double *)plasma_getaddr(A, m, n) +//Sameh Testing MOde +#define MIN_RAND -0.4 +#define MAX_RAND 0.4 +#define R 2 +#define L 3 +//#define THETA1 1 //weak=0.03, medium=0.1, strong=0.3 +//#define THETA2 0.05 +//#define THETA3 1 +#define USAGE(args, details) \ + printf(" Proper Usage is : ./main_genton "args" \n" \ + details); + +#define PI (3.141592653589793) + +#define START_TIMING(_t) \ + _t =- cWtime(); + +#define STOP_TIMING(_t) \ + _t += cWtime(); + +double cWtime(void) { + struct timeval tp; + gettimeofday(&tp, NULL); + return tp.tv_sec + 1e-6 * tp.tv_usec; +} + + + +static double CalculateDistance(double x1, double y1, double x2, double y2); +static double uniform_distribution(double rangeLow, double rangeHigh); +//static void writetofile(char* fname, int m, int n, double* a, int lda); +static void print_matrix(char* desc, int m, int n, double* a, int lda); +int PLASMA_MLE_GenZVec_Tile_Async(PLASMA_desc *descA, int * r, PLASMA_sequence *sequence, + PLASMA_request *request); +int EXAGEOSTAT_MLE_GenZVec_Tile_Async(CHAM_desc_t *descA, int * r,RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request); +static int GenerateXYLoc(int n, char * locs_file,int based_sys); +static double CalculateDistance(double x1, double y1, double x2, double y2); +static double uniform_distribution(double rangeLow, double rangeHigh); +//tiling +static void CORE_dGenCovMat_quark(Quark *quark); +static void CORE_dGenZVec_quark(Quark *quark); +static int PLASMA_MLE_GenCovMat_Tile_Async(PLASMA_desc *descA, + PLASMA_sequence *sequence, PLASMA_request *request, double * theta); +static int EXAGEOSTAT_MLE_GenCovMat_Tile_Async(CHAM_desc_t *descA, + RUNTIME_sequence_t *sequence, RUNTIME_request_t *request, double * theta); +static void QUARK_CORE_dGenCovMat(Quark *quark, Quark_Task_Flags *task_flags, + int m, int n, double *A, int lda, int m0, int n0, double * theta); +static void matcov_comp_Tile(double * A, int m, int n, int m0, int n0, double * theta); +static void CORE_det_quark(Quark *quark); +static void det_comp_Tile(double * A, int m, int n, int m0, int n0,double * determinant) ; +static void QUARK_CORE_det(Quark *quark, Quark_Task_Flags *task_flags, int m, + int n, double *A, int lda, int m0, int n0, double * determinant ); +static int PLASMA_MLE_det_Tile_Async(PLASMA_desc *descA, PLASMA_sequence *sequence, + PLASMA_request *request,double * result); +static int PLASMA_MLE_det_Tile(PLASMA_desc *descA, PLASMA_sequence *sequence, + PLASMA_request *request,double * det_acc); +static int EXAGEOSTAT_MLE_det_Tile_Async(CHAM_desc_t *descA, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request,double * result); +void QUARK_CORE_dGenZVec(Quark *quark, Quark_Task_Flags *task_flags, int m, + int n, double *A, int lda, int m0, int n0, double * r); +void veccov_comp_Tile(double * Z, int m, int n, int m0, int n0, double *r); +int PLASMA_ML_GenerateZVec_Tile(char * obs_di,int obs_timestamp, int * r); +double PLASMA_MLE_Tile(unsigned n, const double * theta, double * grad, void * my_func_data); +void ML_finalize(); +int PLASMA_ML_GenerateZVec_Tile_Async(char * obs_dir, int obs_timestamp,int * r); +double PLASMA_MLE_Tile_Async(unsigned n, const double * theta, double * grad, void * my_func_data); +int EXAGEOSTAT_ML_GenerateZVec_Tile(char * obs_dir, int obs_timestamp, int * r); +double EXAGEOSTAT_MLE_Tile(unsigned n, const double * theta, double * grad, void * my_func_data); +int EXAGEOSTAT_ML_GenerateZVec_Tile_Async(char * obs_dir, int obs_timestamp, int * seeds); +double EXAGEOSTAT_MLE_Tile_Async(unsigned n, const double * theta, double * grad, void * my_func_data); +int EXAGEOSTAT_MLE_det_Tile(CHAM_desc_t *descA, RUNTIME_sequence_t *sequence, + RUNTIME_request_t *request,double * det_acc) ; +int countlines(char *filename); +double bessy( int n, double x ); +static double bessy1( double x ); +static double bessy0( double x ); +static double bessj1( double x ); +static double bessj0( double x ); +void theta_parser(double * theta_vec,char * kern); +//for experiments +void write_to_file(char * path, int matrix_size,int ncores,int tile_size, int test, char * ikernel, int based_system, int async, char *obs_dir,int obs_timestamp,double total_exec_time,double avg_exec_time_per_iter, double avg_flops_per_iter); + + + +double * C ; +double * Z; +double * Zcpy; +double * Ccpy; +//******************************************************************** +PLASMA_desc *descC = NULL; +PLASMA_desc *descZ = NULL; +PLASMA_desc *descZcpy = NULL; +CHAM_desc_t *CHAM_descC = NULL; +CHAM_desc_t *CHAMELEON_descZ = NULL; +CHAM_desc_t *CHAMELEON_descZcpy = NULL; +double * X; +double * Y; +//PLASMA sequence uniquely identifies a set of asynchronous function calls sharing common exception handling. +PLASMA_sequence *sequence; +//PLASMA request uniquely identifies each asynchronous function call. +PLASMA_request request[19] = { PLASMA_REQUEST_INITIALIZER, + PLASMA_REQUEST_INITIALIZER, PLASMA_REQUEST_INITIALIZER, + PLASMA_REQUEST_INITIALIZER, PLASMA_REQUEST_INITIALIZER, + PLASMA_REQUEST_INITIALIZER, PLASMA_REQUEST_INITIALIZER, + PLASMA_REQUEST_INITIALIZER, PLASMA_REQUEST_INITIALIZER, + PLASMA_REQUEST_INITIALIZER, PLASMA_REQUEST_INITIALIZER, + PLASMA_REQUEST_INITIALIZER, PLASMA_REQUEST_INITIALIZER, + PLASMA_REQUEST_INITIALIZER, PLASMA_REQUEST_INITIALIZER, + PLASMA_REQUEST_INITIALIZER, PLASMA_REQUEST_INITIALIZER, + PLASMA_REQUEST_INITIALIZER, PLASMA_REQUEST_INITIALIZER }; +//MORSE sequence uniquely identifies a set of asynchronous function calls sharing common exception handling. +RUNTIME_sequence_t *msequence; +//MORSE request uniquely identifies each asynchronous function call. +RUNTIME_request_t mrequest[19] = { CHAMELEON_SUCCESS, + CHAMELEON_SUCCESS, CHAMELEON_SUCCESS, + CHAMELEON_SUCCESS, CHAMELEON_SUCCESS, + CHAMELEON_SUCCESS, CHAMELEON_SUCCESS, + CHAMELEON_SUCCESS, CHAMELEON_SUCCESS, + CHAMELEON_SUCCESS, CHAMELEON_SUCCESS, + CHAMELEON_SUCCESS, CHAMELEON_SUCCESS, + CHAMELEON_SUCCESS, CHAMELEON_SUCCESS, + CHAMELEON_SUCCESS, CHAMELEON_SUCCESS, + CHAMELEON_SUCCESS, CHAMELEON_SUCCESS }; +//*************************************************************************************** + +int N,NRHS,LDC,LDZ,ts,async,check,verbose; +int iter_count=0; +int based_sys; +double *target_theta; +double *initial_theta; +char *kernel; +char *ikernel; + +//to collect results +double avg_exec_time_per_iter; +double total_exec_time; +double avg_flops_per_iter; +double final_theta_hat; + +const char *argp_program_version ="Version 1.0"; +const char *argp_program_bug_address =""; +struct arguments +{ + // char *args[0]; /* ncores, N, ts, locs_file, obs_dir, and obs_timestamp */ + int test; /* The -t flag (USE Synthetic Dataset*/ + int check ; /* The -c flag */ + char *zvecs ; /* The number of Z vectors to be tested */ + int verbose; /* The -v flag */ + char *ncores; //Number of cores + char *N; //Matrix size (Only in the case of Synthetic dataset) + char *ts; //Tiling size + char *kernel; + char *ikernel; + int chameleon; // 0--> plasma 1-->chameleon The -sys flag + int async; // 0-->tile 1-->tile_async The -async flag + char *locs_file; // Locations files (in the case of real dataset + char *obs_dir; // Observations directory in the case of real dataset + int timestamp; // Observations timestamp + +}; + +static struct argp_option options[] = +{ + {"test", 't', 0, 0, "Execute in test mode"}, + {"check", 'c', 0, 0, "Produce check output"}, + {"zvecs", 'z', "ZVECS", 0, "number of Z vectors to be tested"}, + {"verbose", 'v', 0, 0, "Produce verbose output"}, + {"ncores", 'n', "NCORES", 0, "Number of Cores"}, + {"N", 's', "MATRIX_SIZE", 0, "Synthetic Matrix Size"}, + {"ts", 'e', "TILE_SIZE", 0, "Number of Tiles"}, + {"kernel", 'k', "KERNEL", 0, "Computation Model"}, + {"ikernel", 'i', "IKERNEL", 0, "Initial theta(s) used for Testing case Generation"}, + {"chameleon", 'b', 0, 0, "Use Chameleon Instead of Plasma"}, + {"async", 'a', 0, 0, "Asynchronous"}, + {"locs_file", 'l', "LOCATIONS_FILE", 0, "Read Locations from this Location File"}, + {"obs_dir", 'o', "OBSERVATIONS_DIRECTORY", 0, "Read Observations from this Directory Path"}, + {"timestamp", 'p', "TIMESTAMP", 0, "Observation Timestamp"}, + {0} +}; + + + + static error_t +parse_opt (int key, char *arg, struct argp_state *state) +{ + struct arguments *arguments = state->input; + + switch (key) + { + case 't': + arguments->test = 1; + break; + case 'c': + arguments->check = 1; + break; + case 'v': + arguments->verbose = 1; + break; + case 'k': + arguments->kernel = arg; + break; + case 'i': + arguments->ikernel = arg; + break; + case 'z': + arguments->zvecs = arg; + break; + case 'n': + arguments->ncores = arg; //non-optional; + break; + case 's': + arguments->N = arg; + break; + case 'e': + arguments->ts = arg; //non-optional + break; + case 'b': + arguments->chameleon = 1; + break; + case 'a': + arguments->async = 1; + break; + case 'l': + arguments->locs_file = arg; + break; + case 'o': + arguments->obs_dir = arg; + break; + case 'p': + arguments->timestamp = arg; + break; + default: + return ARGP_ERR_UNKNOWN; + } + return 0; +} + +static char args_doc[] = ""; + +static char doc[] = +"NLE -- A program to evaluate Maximum Likelihood function using both real and synthetic dataset on two different platforms (PLASMA (default) and Chameleon)"; + +static struct argp argp = {options, parse_opt, args_doc, doc}; + + + +int main(int argc, char **argv) { + + //initialization + double *starting_theta; + char *token; + int i = 0; + int locs; + double time_opt = 0.0; + double max_theta_hat = 0.0; + int zvecs = 1; + int iseed = 0; + //For experiments + avg_exec_time_per_iter = 0; + total_exec_time = 0; + avg_flops_per_iter = 0; + + + struct arguments arguments; + FILE *outstream; + arguments.test = 0; /* execute in test mode */ + arguments.check = 0; /* The -c flag */ + arguments.verbose = 0; /* The -v flag */ + arguments.zvecs = "1"; /* The number of Z vectors to be tested*/ + arguments.chameleon = 0; // 0--> plasma 1-->chameleon The -sys flag + arguments.async = 0; // 0-->tile 1-->tile_async The -async flag + arguments.kernel = ""; // target Kernel + arguments.ikernel = ""; // initial Kernel + arguments.ncores = "1"; //Number of cores + arguments.N = "0"; //Matrix size (Only in the case oif sysnthetic dataset) + arguments.ts = "0"; //Tiling size + arguments.locs_file = ""; // Locations files (in the case of real dataset + arguments.obs_dir = ""; // Observations directory in the case of real dataset + arguments.timestamp = 0; // obstervations timestamp + + + + + argp_parse (&argp, argc, argv, 0, 0, &arguments); + + int test = arguments.test; + int ncores = atoi(arguments.ncores); + N = atoi( arguments.N); + zvecs = atoi(arguments.zvecs); + kernel=arguments.kernel; + ikernel=arguments.ikernel; + ts = atoi(arguments.ts); + based_sys = arguments.chameleon;// 0--> plasma 1-->chameleon + async= arguments.async; // 0-->tile 1-->tile_async + char *locs_file= arguments.locs_file; + char *obs_dir= arguments.obs_dir; + int obs_timestamp=arguments.timestamp; + check = arguments.check; + verbose = arguments.verbose; + int num_params = 6; + //stop gsl error handler + gsl_set_error_handler_off () ; + + starting_theta=(double *) malloc(num_params * sizeof(double)); + double * avg_target_theta=(double *) malloc(num_params * sizeof(double)); + + for (i = 0; i < num_params; i++) + { + avg_target_theta[i] = 6; + } + + starting_theta[0] = 0.3; + starting_theta[1] = 0.3; + starting_theta[2] = 0.3; + starting_theta[3] = 0.3; + starting_theta[4] = 0.3; + starting_theta[5] = 0.3; + + target_theta = (double *) malloc(num_params * sizeof(double)); + initial_theta = (double *) malloc(num_params * sizeof(double)); + + if(test ==0 && (strcmp(locs_file,"")==0 || + strcmp(obs_dir,"") ==0 || obs_timestamp==0 || N >0 )) + { + printf("\nIn real mode: please use locs_file, obs_dir, and obs_timestamp arguments only and ignore N (Matrix Size)\n\n"); + exit(0); + } + else if(test ==1 && (strcmp(locs_file,"")!=0 || strcmp(obs_dir,"") !=0 || obs_timestamp!=0 || N ==0 )) + + { + printf("\nIn test mode: please use N (Matrix Size), ikernel and ignore locs_file, obs_dir, and obs_timestamp arguments\n\n"); + exit(0); + + } + + //kernel parsing + if (test==1) + theta_parser(initial_theta,ikernel); + + theta_parser(target_theta,kernel); + + + if(strcmp(locs_file,"")!=0) + { + printf("locs file: %s\n",locs_file); + locs= countlines(locs_file); + N=locs; + } + + + NRHS = 1; + LDC = N; + LDZ = N; + + printf("N: %d\n",N); + //Memory Allocation + X = (double *) calloc((size_t)N, sizeof(double)); + Y = (double *) calloc(N , sizeof(double)); + C = (double *) calloc((size_t)LDC * (size_t)N , sizeof(double)); + Z = (double *) calloc(LDZ * NRHS , sizeof(double)); + Zcpy = (double *) calloc(LDZ * NRHS , sizeof(double)); + + //printf("RLIMIT_DATA%d",RLIMIT_DATA); + + /* Check if unable to allocate memory */ + if ((!C) || (!Z) || (!Zcpy) ||(!X) || (!Y)) { + printf("Out of Memory for C, Zcpy , Z, X, and Y\n "); + return -2; + } + + + // GenerateXYLoc(N,locs_file,based_sys); + + //exit(0); + nlopt_opt opt; + //Initial nlopt (Optimization) + opt=nlopt_create(/*NLOPT_GN_CRS2_LM*/NLOPT_LN_BOBYQA , num_params); + + double lb[3]={0.01, 0.01, 0.01, 0.01, 0.01, 0.01}; + double up[3]={1.0, 1.0, 1.0, 1.0, 1.0, 1.0}; + + //if(test==1) + for(i=0;inumber of rows in tile , ts -->number of columns in tile, ts*ts-->title size (number of elements), N -->number of rows in the whole matrix, N --> number pf columns in the whole matrix + PLASMA_Desc_Create(&descC, C, PlasmaRealDouble, ts, ts, ts * ts, LDC, N, 0, + 0, LDC, N); + + PLASMA_Desc_Create(&descZ, Z, PlasmaRealDouble, ts, ts,ts*ts, LDZ, NRHS , 0, 0, LDZ, NRHS); + + PLASMA_Desc_Create(&descZcpy, Zcpy, PlasmaRealDouble, ts, ts, ts*ts, LDZ, NRHS, 0, 0,LDZ, NRHS); + + // Generate Observations Vector (Z) for testing phase + if(async==0) + { + PLASMA_ML_GenerateZVec_Tile(obs_dir,obs_timestamp,&r[i*N]); + START_TIMING(time_opt); + + //Maximum Likelihood (Optimization Phase using nlopt library) + nlopt_set_max_objective(opt, PLASMA_MLE_Tile, NULL); + nlopt_optimize(opt, starting_theta, &opt_f); + + STOP_TIMING(time_opt); + } + + else + { + PLASMA_ML_GenerateZVec_Tile_Async(obs_dir,obs_timestamp,&r[i*N]); + + START_TIMING(time_opt); + + nlopt_set_max_objective(opt, PLASMA_MLE_Tile_Async, NULL); + nlopt_optimize(opt, starting_theta, &opt_f); + + STOP_TIMING(time_opt); + } + + } + + // MORSE based- system + else + { + + /*------------------------------------------------------------- + * Initialization of Morse + */ + CHAMELEON_Init(ncores,1); //CHAMELEON_init(NCPU,NGPU); + CHAMELEON_Disable(PLASMA_AUTOTUNING); + CHAMELEON_Set(PLASMA_TILE_SIZE, ts); + CHAMELEON_Set(PLASMA_SCHEDULING_MODE, PLASMA_DYNAMIC_SCHEDULING); + CHAMELEON_Enable(PLASMA_WARNINGS); + CHAMELEON_Enable(PLASMA_ERRORS); + /*-------------------------------------------------------------*/ + + // GenerateXYLoc(N,locs_file,based_sys); + + //Identifies a set of routines sharing common exception handling. + CHAMELEON_Sequence_Create(&msequence); + + //Create matrix descriptor -- ts -->number of rows in tile , ts -->number of columns in tile, ts*ts-->title size (number of elements), N -->number of rows in the whole matrix, N --> number pf columns in the whole matrix + CHAMELEON_Desc_Create(&CHAM_descC, C, ChamRealDouble, ts, ts, ts * ts, LDC, N, 0, + 0, LDC, N,1,1); + + CHAMELEON_Desc_Create(&CHAMELEON_descZ, Z, ChamRealDouble, ts, ts,ts*ts, LDZ, NRHS , 0, 0, LDZ, NRHS,1,1); + + CHAMELEON_Desc_Create(&CHAMELEON_descZcpy, Zcpy, ChamRealDouble, ts, ts, ts*ts, LDZ, NRHS, 0, 0,LDZ, NRHS,1,1); + + + + // Generate Observations Vector (Z) for testing phase + if(async==0) + { + EXAGEOSTAT_ML_GenerateZVec_Tile(obs_dir,obs_timestamp,&r[i*N]); + START_TIMING(time_opt); + EXAGEOSTAT_MLE_Tile(1,starting_theta,NULL,NULL); + //Maximum Likelihood (Optimization Phase using dlib library) + STOP_TIMING(time_opt); + } + + else + { + EXAGEOSTAT_ML_GenerateZVec_Tile_Async(obs_dir,obs_timestamp,&r[i*N]); + START_TIMING(time_opt); + + nlopt_set_max_objective(opt, EXAGEOSTAT_MLE_Tile_Async, NULL); + nlopt_optimize(opt, starting_theta, &opt_f); + + STOP_TIMING(time_opt); + } + + + } + + printf("Total Number of Iterations=%d\n",iter_count); + printf("Total Optimization Time= %6.2f\n",time_opt); + printf("Found Maximum at f(%g, %g, %g) \n", starting_theta[0], + starting_theta[1],starting_theta[2]); + int j=0; + for(j=0;j<3;j++) + avg_target_theta[j]+=starting_theta[j]; + + // for experiments + total_exec_time=time_opt; + avg_exec_time_per_iter=avg_exec_time_per_iter/iter_count; + avg_flops_per_iter=avg_flops_per_iter/iter_count; + + if(zvecs==1) + write_to_file("results.txt",N,ncores,ts,test,ikernel,based_sys,async,obs_dir,obs_timestamp,total_exec_time,avg_exec_time_per_iter,avg_flops_per_iter); + + } + + printf("\n**************************************************************************************\n"); + printf("Average Maximum using (%d) Z vectors at f(%g, %g, %g) \n", zvecs, avg_target_theta[0]/zvecs, avg_target_theta[1]/zvecs,avg_target_theta[2]/zvecs); + //Free Memory Allocation + ML_finalize(); + nlopt_destroy(opt); + + return 0; +} + + + +//Generate Observations Vector (Z) for testing Maximum Likelihood function +int PLASMA_ML_GenerateZVec_Tile (char * obs_dir, int obs_timestamp, int * r) { + + //Initialization + double flops=0; + + if(strcmp(obs_dir,"")==0) + + { + + //Set C diagonal equals to 1 (simple case) + PLASMA_dlaset_Tile(PlasmaUpperLower, 0, 1, descC); + + if (verbose == 1) + fprintf(stderr, "Initializing Co-variance Matrix ...\n"); + + //Generate co-variance matrix C + PLASMA_MLE_GenCovMat_Tile_Async(descC, sequence, &request[1], initial_theta); + + if (verbose == 1) + fprintf(stderr, "Done ...\n"); + + + + + // int IPV; + // PLASMA_dgetrf_Tile(descC,&IPV); + // double res=0; + // PLASMA_dgecon_Tile(PlasmaOneNorm,descC,PlasmaOneNorm,&res); + // printf("res: %f\n",res); + // exit(0); + + + + if (verbose == 1) + fprintf(stderr, + "Cholesky factorization of Sigma (Generation Phase) ...\n"); + + + //Cholesky factorization + int success = PLASMA_dpotrf_Tile(PlasmaLower, descC); + + if (success != PLASMA_SUCCESS) { + printf("Factorization cannot be performed..\n" + "The matrix is not positive definite\n\n"); + exit(0); + } + + flops = flops + FLOPS_DPOTRF(N); + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + // Generate Z Vector + PLASMA_MLE_GenZVec_Tile_Async(descZ, r, sequence, &request[1]); + + PLASMA_dtrmm_Tile(PlasmaLeft,PlasmaLower,PlasmaNoTrans,PlasmaNonUnit,1,descC,descZ); + } + else + { + + if (verbose == 1) + fprintf(stderr, + "Reading observations from dir ...\n"); + + FILE * fp; + char * line = NULL; + size_t len = 0; + ssize_t read; + char * pch; + int str_count=0; + char* zeroes; + char integer_string[32]; + int i=0; + + char * obs_dir_name=(char *) malloc(50 * sizeof(char)); + + for(i=0;i<103;i++) + { + + strcpy(obs_dir_name, obs_dir); + + sprintf(integer_string, "%d", (i+1)); + + if(i<9) + zeroes="00"; + else if(i>=9&&i<99) + zeroes="0"; + else + zeroes=""; + + strcat(obs_dir_name,"/ppt.complete.Y"); + + strcat(obs_dir_name,zeroes); + strcat(obs_dir_name,integer_string); + + + + fp = fopen(obs_dir_name, "r"); + if (fp == NULL) + exit(EXIT_FAILURE); + + while ((read = getline(&line, &len, fp)) != -1) { + str_count=0; + + pch = strtok (line," ,"); + while (pch != NULL) + { + if(str_count==obs_timestamp) + Z[i]=atof(pch); + pch = strtok (NULL, " ,"); + str_count++; + } + + + } + + } + + + if (line) + free(line); + } + + + + //Copy Z to Zcpy + PLASMA_dlacpy_Tile(PlasmaUpperLower ,descZ,descZcpy); + + + if (verbose == 1) + fprintf(stderr, "Done Z Vector Generation Phase.\n"); + + + + + return 0; + +} + + + +//Generate Observations Vector (Z) for testing Maximum Likelihood function +int PLASMA_ML_GenerateZVec_Tile_Async(char * obs_dir, int obs_timestamp, int * r) { + + //Initialization + double flops=0; + + + if(strcmp(obs_dir,"")==0) + + { + + // PLASMA_dlaset_Tile_Async(PlasmaUpperLower, 0, 1, descC,sequence, &request[1]); + + + if (verbose == 1) + fprintf(stderr, "Initializing Co-variance Matrix ...\n"); + + + //Generate co-variance matrix C + PLASMA_MLE_GenCovMat_Tile_Async(descC, sequence, &request[1], initial_theta); + + + //exit(0); + if (verbose == 1) + fprintf(stderr, "Done ...\n"); + + //PLASMA_Sequence_Wait(sequence); + //print_matrix("nn",N,N,C,N); + //exit(0); + + + + + if (verbose == 1) + fprintf(stderr, + "Cholesky factorization of Sigma (Generation Phase) ...\n"); + + + //Cholesky factorization + int success = PLASMA_dpotrf_Tile_Async(PlasmaLower, descC, sequence, &request[1]); + + if (success != PLASMA_SUCCESS) { + printf("Factorization cannot be performed..\n" + "The matrix is not positive definite\n\n"); + exit(0); + } + + flops = flops + FLOPS_DPOTRF(N); + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + // Generate Z Vector + PLASMA_MLE_GenZVec_Tile_Async(descZ, r, sequence, &request[1]); + + PLASMA_dtrmm_Tile_Async(PlasmaLeft,PlasmaLower,PlasmaNoTrans,PlasmaNonUnit,1,descC,descZ,sequence, &request[1]); + } + else + { + + if (verbose == 1) + fprintf(stderr, + "Reading observations from dir ...\n"); + + FILE * fp; + char * line = NULL; + size_t len = 0; + ssize_t read; + char * pch; + int str_count=0; + char* zeroes; + char integer_string[32]; + int i=0; + + char * obs_dir_name=(char *) malloc(50 * sizeof(char)); + + for(i=0;i<103;i++) + { + + strcpy(obs_dir_name, obs_dir); + + sprintf(integer_string, "%d", (i+1)); + + if(i<9) + zeroes="00"; + else if(i>=9&&i<99) + zeroes="0"; + else + zeroes=""; + + strcat(obs_dir_name,"/ppt.complete.Y"); + + strcat(obs_dir_name,zeroes); + strcat(obs_dir_name,integer_string); + + + + fp = fopen(obs_dir_name, "r"); + if (fp == NULL) + exit(EXIT_FAILURE); + + while ((read = getline(&line, &len, fp)) != -1) { + str_count=0; + + pch = strtok (line," ,"); + while (pch != NULL) + { + if(str_count==obs_timestamp) + Z[i]=atof(pch); + pch = strtok (NULL, " ,"); + str_count++; + } + + + } + + } + + + if (line) + free(line); + } + + + + //Copy Z to Zcpy + PLASMA_dlacpy_Tile_Async(PlasmaUpperLower ,descZ,descZcpy,sequence, &request[1]); + + + if (verbose == 1) + fprintf(stderr, "Done Z Vector Generation Phase.\n"); + + + + + return 0; + + +} + + +//Generate Observations Vector (Z) for testing Maximum Likelihood function +int EXAGEOSTAT_ML_GenerateZVec_Tile(char * obs_dir, int obs_timestamp,int * r) { + + //Initialization + double flops=0; + + if(strcmp(obs_dir,"")==0) + { + + if (verbose == 1) + fprintf(stderr, "Initializing Co-variance Matrix ...\n"); + + + //Generate co-variance matrix C + EXAGEOSTAT_MLE_GenCovMat_Tile_Async(CHAM_descC, msequence, &mrequest[1], initial_theta); + + if (verbose == 1) + fprintf(stderr, "Done ...\n"); + + + if (verbose == 1) + fprintf(stderr, + "Cholesky factorization of Sigma (Generation Phase) ...\n"); + + //Cholesky factorization + int success = EXAGEOSTAT_dpotrf_Tile(ChamLower, CHAM_descC); + + if (success != PLASMA_SUCCESS) { + printf("Factorization cannot be performed..\n" + "The matrix is not positive definite\n\n"); + exit(0); + } + + flops = flops + FLOPS_DPOTRF(N); + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + // Generate Z Vector + EXAGEOSTAT_MLE_GenZVec_Tile_Async(CHAMELEON_descZ, r, msequence, &mrequest[1]); + + EXAGEOSTAT_dtrmm_Tile(ChamLeft,ChamLower,ChamNoTrans,ChamNonUnit,1,CHAM_descC,CHAMELEON_descZ); + } + else + { + if (verbose == 1) + fprintf(stderr, + "Reading observations from dir ...\n"); + + FILE * fp; + char * line = NULL; + size_t len = 0; + ssize_t read; + char * pch; + int str_count=0; + char* zeroes; + char integer_string[32]; + int i=0; + + char * obs_dir_name=(char *) malloc(50 * sizeof(char)); + + for(i=0;i<103;i++) + { + + strcpy(obs_dir_name, obs_dir); + + sprintf(integer_string, "%d", (i+1)); + + if(i<9) + zeroes="00"; + else if(i>=9&&i<99) + zeroes="0"; + else + zeroes=""; + + strcat(obs_dir_name,"/ppt.complete.Y"); + + strcat(obs_dir_name,zeroes); + strcat(obs_dir_name,integer_string); + + + + fp = fopen(obs_dir_name, "r"); + if (fp == NULL) + exit(EXIT_FAILURE); + + while ((read = getline(&line, &len, fp)) != -1) { + str_count=0; + + pch = strtok (line," ,"); + while (pch != NULL) + { + if(str_count==obs_timestamp) + Z[i]=atof(pch); + pch = strtok (NULL, " ,"); + str_count++; + } + + + } + + } + + + if (line) + free(line); + } + + //Copy Z to Zcpy + EXAGEOSTAT_dlacpy_Tile(ChamUpperLower ,CHAMELEON_descZ,CHAMELEON_descZcpy); + + + if (verbose == 1) + fprintf(stderr, "Done Z Vector Generation Phase.\n"); + + + + + return 0; + +} + +int EXAGEOSTAT_ML_GenerateZVec_Tile_Async(char * obs_dir, int obs_timestamp, int * r) { + + //Initialization + double flops=0; + + if(strcmp(obs_dir,"")==0) + { + //Set C diagonal equals to 1 (simple case) + if (verbose == 1) + fprintf(stderr, "Initializing Co-variance Matrix ...\n"); + + + //Generate co-variance matrix C + EXAGEOSTAT_MLE_GenCovMat_Tile_Async(CHAM_descC, msequence, &mrequest[1], initial_theta); + + + //exit(0); + + if (verbose == 1) + fprintf(stderr, "Done ...\n"); + + + if (verbose == 1) + fprintf(stderr, + "Cholesky factorization of Sigma (Generation Phase) ...\n"); + + //Cholesky factorization + int success = EXAGEOSTAT_dpotrf_Tile_Async(ChamLower, CHAM_descC,msequence,&mrequest[1]); + + if (success != PLASMA_SUCCESS) { + printf("Factorization cannot be performed..\n" + "The matrix is not positive definite\n\n"); + exit(0); + } + + flops = flops + FLOPS_DPOTRF(N); + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + // Generate Z Vector + EXAGEOSTAT_MLE_GenZVec_Tile_Async(CHAMELEON_descZ, r,msequence, &mrequest[1]); + + EXAGEOSTAT_dtrmm_Tile_Async(ChamLeft,ChamLower,ChamNoTrans,ChamNonUnit,1,CHAM_descC,CHAMELEON_descZ,msequence,&mrequest[1]); + } + else + { + if (verbose == 1) + fprintf(stderr, + "Reading observations from dir ...\n"); + + FILE * fp; + char * line = NULL; + size_t len = 0; + ssize_t read; + char * pch; + int str_count=0; + char* zeroes; + char integer_string[32]; + int i=0; + + char * obs_dir_name=(char *) malloc(50 * sizeof(char)); + + for(i=0;i<103;i++) + { + + strcpy(obs_dir_name, obs_dir); + + sprintf(integer_string, "%d", (i+1)); + + if(i<9) + zeroes="00"; + else if(i>=9&&i<99) + zeroes="0"; + else + zeroes=""; + + strcat(obs_dir_name,"/ppt.complete.Y"); + + strcat(obs_dir_name,zeroes); + strcat(obs_dir_name,integer_string); + + + + fp = fopen(obs_dir_name, "r"); + if (fp == NULL) + exit(EXIT_FAILURE); + + while ((read = getline(&line, &len, fp)) != -1) { + str_count=0; + + pch = strtok (line," ,"); + while (pch != NULL) + { + if(str_count==obs_timestamp) + Z[i]=atof(pch); + pch = strtok (NULL, " ,"); + str_count++; + } + + + } + + } + + + if (line) + free(line); + } + + //Copy Z to Zcpy + EXAGEOSTAT_dlacpy_Tile_Async(ChamUpperLower ,CHAMELEON_descZ,CHAMELEON_descZcpy,msequence,&mrequest[1]); + + + if (verbose == 1) + fprintf(stderr, "Done Z Vector Generation Phase.\n"); + + + + + return 0; + + +} + + +double PLASMA_MLE_Tile(unsigned n, const double * theta, double * grad, void * my_func_data) +{ + + + //printf("******************8hi\n"); + //exit(0); + //Initialization + double theta_hat,det=1.0,logdet=0.0; + double matrix_gen_time=0.0; double time_facto = 0.0, time_solve = 0.0, logdet_calculate = 0.0; + double flops = 0.0; + + + + + // PLASMA_dlaset_Tile(PlasmaUpperLower, 0, 1, descC); + + START_TIMING(matrix_gen_time); + //Generate new co-variance matrix C based on new theta + PLASMA_MLE_GenCovMat_Tile_Async(descC, sequence, &request[1], theta); + STOP_TIMING(matrix_gen_time); + + //re-store old Z + PLASMA_dlacpy_Tile(PlasmaUpperLower ,descZcpy,descZ); + + + //Calculate Cholesky Factorization (C=LL-1) + if (verbose == 1) + fprintf(stderr, "Cholesky factorization of Sigma..."); + + START_TIMING(time_facto); + int success = PLASMA_dpotrf_Tile(PlasmaLower, descC); + + STOP_TIMING(time_facto); + + if (success != PLASMA_SUCCESS) { + printf("Factorization cannot be performed..\n" + "The matrix is not positive definite\n\n"); + + exit(0); + } + + + + flops = flops + FLOPS_DPOTRF(N); + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + //Calculate log(|C|) --> log(square(|L|)) + if (verbose == 1) + fprintf(stderr, "Calculating the log determinant ..."); + + + + START_TIMING(logdet_calculate); + + + + PLASMA_MLE_det_Tile(descC, sequence, &request[1],&det); + + + logdet= det==0?0:log(det*det); + + + STOP_TIMING(logdet_calculate); + + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + if (verbose == 1) + printf("log-determinant=%f\n\n", logdet); + + + //Solving Linear System (L*X=Z)--->inv(L)*Z + if (verbose == 1) + fprintf(stderr, "Solving the linear system ...\n"); + + + START_TIMING(time_solve); + + //Compute triangular solve LC*X = Z + PLASMA_dtrsm_Tile (PlasmaLeft,PlasmaLower,PlasmaNoTrans,PlasmaNonUnit,1,descC,descZ); + + STOP_TIMING(time_solve); + + flops = flops + FLOPS_DTRSM(PlasmaLeft,N, NRHS); + + if (verbose == 1) + fprintf(stderr, "Calculating the log likelihood ..."); + theta_hat = -0.5 * cblas_ddot(N, Z, 1, Z, 1) - 0.5 * logdet + - (double) (N / 2) * log(2 * PI); + + + + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + // Print Iteration Summary + printf("***************************************************\n"); + printf("------logdet: %2.6f ",logdet); + printf("------expr1: %2.6f ",(-0.5 * cblas_ddot(N, Z, 1, Z, 1))); + printf("------expr2: %2.6f ",((double) (N / 2) * log(2 * PI))); + printf(" ---- Theta1: %2.6f ---- Theta2: %2.6f ---- Theta3: %2.6f ----Theta_hat: %2.6f\n", theta[0], theta[1], theta[2], theta_hat); + printf(" ---- Facto Time: %6.2f\n", time_facto); + printf(" ---- logdet Time: %6.2f\n", logdet_calculate); + printf(" ---- dtrsm Time: %6.2f\n", time_solve); + printf(" ---- Matrix Generation Time: %6.2f\n", matrix_gen_time); + printf(" ---- Total Time: %6.2f\n", matrix_gen_time+time_facto + logdet_calculate + time_solve); + printf(" ---- Gflop/s: %6.2f\n", flops / 1e9 / (time_facto +logdet_calculate+ time_solve)); + printf("***************************************************\n"); + + + iter_count++; + + + // for experiments + avg_exec_time_per_iter+=matrix_gen_time+time_facto + logdet_calculate + time_solve; + avg_flops_per_iter+=flops / 1e9 / (time_facto + logdet_calculate+time_solve); + final_theta_hat=theta_hat; + + + return theta_hat; +} + +double PLASMA_MLE_Tile_Async(unsigned n, const double * theta, double * grad, void * my_func_data) { + + //Initialization + double theta_hat,det=1.0,logdet=0.0; + double time_facto = 0.0, time_solve = 0.0, logdet_calculate = 0.0, matrix_gen_time=0.0; + double flops = 0.0; + + + + + // PLASMA_dlaset_Tile_Async(PlasmaUpperLower, 0, 1, descC,sequence,&request[1]); + + //printf("%f: %f:%f \n",theta[0],theta[1],theta[2]); + //exit(0); + START_TIMING(matrix_gen_time); + //Generate new co-variance matrix C based on new theta + PLASMA_MLE_GenCovMat_Tile_Async(descC, sequence, &request[1], theta); + STOP_TIMING(matrix_gen_time); + + // PLASMA_Sequence_Wait(sequence); + + //printf("%f: %f:%f \n",theta[0],theta[1],theta[2]); + //print_matrix("test:",N,N,C,N); + + //char x[12]; + //scanf("%s",x); + //exit(0); + //re-store old Z + PLASMA_dlacpy_Tile_Async(PlasmaUpperLower ,descZcpy,descZ,sequence,&request[1]); + + + + //Calculate Cholesky Factorization (C=LL-1) + if (verbose == 1) + fprintf(stderr, "Cholesky factorization of Sigma..."); + + START_TIMING(time_facto); + int success = PLASMA_dpotrf_Tile_Async(PlasmaLower, descC,sequence,&request[1]); + + + STOP_TIMING(time_facto); + + if (success != PLASMA_SUCCESS) { + printf("Factorization cannot be performed..\n" + "The matrix is not positive definite\n\n"); + + exit(0); + } + + + + flops = flops + FLOPS_DPOTRF(N); + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + //***************************************************************************************************************Stop + + + //Solving Linear System (L*X=Z)--->inv(L)*Z + if (verbose == 1) + fprintf(stderr, "Solving the linear system ...\n"); + + + START_TIMING(time_solve); + + //Compute triangular solve LC*X = Z + PLASMA_dtrsm_Tile_Async (PlasmaLeft,PlasmaLower,PlasmaNoTrans,PlasmaNonUnit,1,descC,descZ,sequence,&request[1]); + + STOP_TIMING(time_solve); + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + flops = flops + FLOPS_DTRSM(PlasmaLeft,N, NRHS); + + //Calculate log(|C|) --> log(square(|L|)) + if (verbose == 1) + fprintf(stderr, "Calculating the log determinant ..."); + + START_TIMING(logdet_calculate); + + + + + PLASMA_Sequence_Wait(sequence); + PLASMA_MLE_det_Tile(descC, sequence, &request[1],&det); + + + + logdet= det==0? 0:log(det*det); + + + STOP_TIMING(logdet_calculate); + + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + if (verbose == 1) + printf("log-determinant=%f\n\n", logdet); + + + + + if (verbose == 1) + fprintf(stderr, "Calculating the log likelihood ..."); + theta_hat = -0.5 * cblas_ddot(N, Z, 1, Z, 1) - 0.5 * logdet + - (double) (N / 2) * log(2 * PI); + + + + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + // Print Iteration Summary + printf("***************************************************\n"); + printf("------logdet: %2.6f ",logdet); + printf("------expr1: %2.6f ",(-0.5 * cblas_ddot(N, Z, 1, Z, 1))); + printf("------expr2: %2.6f ",((double) (N / 2) * log(2 * PI))); + printf(" ---- Theta1: %2.6f ---- Theta2: %2.6f ---- Theta3: %2.6f ----Theta_hat: %2.6f\n", theta[0], theta[1], theta[2], theta_hat); + printf(" ---- Facto Time: %6.2f\n", time_facto); + printf(" ---- logdet Time: %6.2f\n", logdet_calculate); + printf(" ---- dtrsm Time: %6.2f\n", time_solve); + printf(" ---- Matrix Generation Time: %6.2f\n", matrix_gen_time); + printf(" ---- Total Time: %6.2f\n", matrix_gen_time+time_facto + logdet_calculate + time_solve); + printf(" ---- Gflop/s: %6.2f\n", flops / 1e9 / (time_facto +logdet_calculate+ time_solve)); + printf("***************************************************\n"); + + + iter_count++; + + + // for experiments + avg_exec_time_per_iter+=matrix_gen_time+time_facto + logdet_calculate + time_solve; + avg_flops_per_iter+=flops / 1e9 / (time_facto + logdet_calculate+time_solve); + final_theta_hat=theta_hat; + + + + return theta_hat; +} + + +double EXAGEOSTAT_MLE_Tile(unsigned n, const double * theta, double * grad, void * my_func_data) { + + //Initialization + double theta_hat,det=1.0,logdet=0.0; + double time_facto = 0.0, time_solve = 0.0, logdet_calculate = 0.0, matrix_gen_time=0.0; + double flops = 0.0; + double test_time; + + START_TIMING(test_time); + + START_TIMING(matrix_gen_time); + //Generate new co-variance matrix C based on new theta + EXAGEOSTAT_MLE_GenCovMat_Tile_Async(CHAM_descC, msequence, &mrequest[1], theta); + STOP_TIMING(matrix_gen_time); + + + START_TIMING(test_time); + //re-store old Z + EXAGEOSTAT_dlacpy_Tile(ChamUpperLower ,CHAMELEON_descZcpy,CHAMELEON_descZ); + STOP_TIMING(test_time); + + //Calculate Cholesky Factorization (C=LL-1) + if (verbose == 1) + fprintf(stderr, "Cholesky factorization of Sigma..."); + + START_TIMING(time_facto); + int success = EXAGEOSTAT_dpotrf_Tile(ChamLower, CHAM_descC); + + STOP_TIMING(time_facto); + + if (success != PLASMA_SUCCESS) { + printf("Factorization cannot be performed..\n" + "The matrix is not positive definite\n\n"); + + exit(0); + } + + //STOP_TIMING(test_time); + + + flops = flops + FLOPS_DPOTRF(N); + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + //Calculate log(|C|) --> log(square(|L|)) + if (verbose == 1) + fprintf(stderr, "Calculating the log determinant ..."); + + START_TIMING(logdet_calculate); + + + + + EXAGEOSTAT_MLE_det_Tile(CHAM_descC, msequence, &mrequest[1],&det); + + + logdet= det==0?0:2*log(det); + + + STOP_TIMING(logdet_calculate); + + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + + if (verbose == 1) + printf("log-determinant=%f\n\n", logdet); + + + //Solving Linear System (L*X=Z)--->inv(L)*Z + if (verbose == 1) + fprintf(stderr, "Solving the linear system ...\n"); + + + START_TIMING(time_solve); + + //Compute triangular solve LC*X = Z + EXAGEOSTAT_dtrsm_Tile(ChamLeft,ChamLower,ChamNoTrans,ChamNonUnit,1,CHAM_descC,CHAMELEON_descZ); + + STOP_TIMING(time_solve); + + flops = flops + FLOPS_DTRSM(ChamLeft,N, NRHS); + + if (verbose == 1) + fprintf(stderr, "Calculating the log likelihood ..."); + theta_hat = -0.5 * cblas_ddot(N, Z, 1, Z, 1) - 0.5 * logdet + - (double) (N / 2) * log(2 * PI); + + //STOP_TIMING(test_time); + + + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + // Print Iteration Summary + printf("***************************************************\n"); + printf("------logdet: %2.6f ",logdet); + printf("------expr1: %2.6f ",(-0.5 * cblas_ddot(N, Z, 1, Z, 1))); + printf("------expr2: %2.6f ",((double) (N / 2) * log(2 * PI))); + printf(" ---- Theta1: %2.6f ---- Theta2: %2.6f ---- Theta3: %2.6f ----Theta_hat: %2.6f\n", theta[0], theta[1], theta[2], theta_hat); + printf(" ---- Facto Time: %6.2f\n", time_facto); + printf(" ---- logdet Time: %6.2f\n", logdet_calculate); + printf(" ---- dtrsm Time: %6.2f\n", time_solve); + printf(" ---- Matrix Generation Time: %6.2f\n", matrix_gen_time); + printf(" ---- Test Time: %6.2f\n", test_time); + + printf(" ---- Total Time: %6.2f\n", matrix_gen_time+time_facto + logdet_calculate + time_solve); + printf(" ---- Gflop: %6.2f\n", flops / 1e9 ); + printf(" ---- Gflop/s: %6.2f\n", flops / 1e9 / (time_facto + time_solve)); + printf("***************************************************\n"); + + + iter_count++; + + + // for experiments + avg_exec_time_per_iter+=matrix_gen_time+time_facto + logdet_calculate + time_solve; + avg_flops_per_iter+=flops / 1e9 / (time_facto + logdet_calculate+time_solve); + final_theta_hat=theta_hat; + + //to be removed + //if((flops / 1e9 / (time_facto + time_solve))<700) + //{ + //exit(0); + //} + + return theta_hat; +} + +double EXAGEOSTAT_MLE_Tile_Async(unsigned n, const double * theta, double * grad, void * my_func_data) { + + //Initialization + double theta_hat,det=1.0,logdet=0.0; + double time_facto = 0.0, time_solve = 0.0, logdet_calculate = 0.0, matrix_gen_time=0.0; + double flops = 0.0; + + START_TIMING(matrix_gen_time); + //Generate new co-variance matrix C based on new theta + EXAGEOSTAT_MLE_GenCovMat_Tile_Async(CHAM_descC, msequence, &mrequest[1], theta); + STOP_TIMING(matrix_gen_time); + + //re-store old Z + EXAGEOSTAT_dlacpy_Tile_Async(ChamUpperLower ,CHAMELEON_descZcpy,CHAMELEON_descZ,msequence,&mrequest[1]); + + + + //Calculate Cholesky Factorization (C=LL-1) + if (verbose == 1) + fprintf(stderr, "Cholesky factorization of Sigma..."); + + START_TIMING(time_facto); + int success = EXAGEOSTAT_dpotrf_Tile_Async(ChamLower, CHAM_descC, msequence,&mrequest[1]); + + + STOP_TIMING(time_facto); + + if (success != CHAMELEON_SUCCESS) { + printf("Factorization cannot be performed..\n" + "The matrix is not positive definite\n\n"); + + exit(0); + } + + + + flops = flops + FLOPS_DPOTRF(N); + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + //***************************************************************************************************************Stop + + + //Solving Linear System (L*X=Z)--->inv(L)*Z + if (verbose == 1) + fprintf(stderr, "Solving the linear system ...\n"); + + + START_TIMING(time_solve); + + //Compute triangular solve LC*X = Z + EXAGEOSTAT_dtrsm_Tile_Async (ChamLeft,ChamLower,ChamNoTrans,ChamNonUnit,1,CHAM_descC,CHAMELEON_descZ,msequence,&mrequest[1]); + + STOP_TIMING(time_solve); + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + flops = flops + FLOPS_DTRSM(ChamLeft,N, NRHS); + + //Calculate log(|C|) --> log(square(|L|)) + if (verbose == 1) + fprintf(stderr, "Calculating the log determinant ..."); + + START_TIMING(logdet_calculate); + + + + + CHAMELEON_Sequence_Wait(msequence); + EXAGEOSTAT_MLE_det_Tile(CHAM_descC, msequence, &mrequest[1],&det); + + + + logdet= det==0? 0:log(det*det); + + + STOP_TIMING(logdet_calculate); + + + + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + if (verbose == 1) + printf("log-determinant=%f\n\n", logdet); + + + + + if (verbose == 1) + fprintf(stderr, "Calculating the log likelihood ..."); + theta_hat = -0.5 * cblas_ddot(N, Z, 1, Z, 1) - 0.5 * logdet + - (double) (N / 2) * log(2 * PI); + + + + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + // Print Iteration Summary + printf("***************************************************\n"); + printf("------logdet: %2.6f ",logdet); + printf("------expr1: %2.6f ",(-0.5 * cblas_ddot(N, Z, 1, Z, 1))); + printf("------expr2: %2.6f ",((double) (N / 2) * log(2 * PI))); + printf(" ---- Theta1: %2.6f ---- Theta2: %2.6f ---- Theta3: %2.6f ----Theta_hat: %2.6f\n", theta[0], theta[1], theta[2], theta_hat); + printf(" ---- Facto Time: %6.2f\n", time_facto); + printf(" ---- logdet Time: %6.2f\n", logdet_calculate); + printf(" ---- dtrsm Time: %6.2f\n", time_solve); + printf(" ---- Matrix Generation Time: %6.2f\n", matrix_gen_time); + printf(" ---- Total Time: %6.2f\n", matrix_gen_time+time_facto + logdet_calculate + time_solve); + printf(" ---- Gflop/s: %6.2f\n", flops / 1e9 / (time_facto +logdet_calculate+ time_solve)); + printf("***************************************************\n"); + + + iter_count++; + + + // for experiments + avg_exec_time_per_iter+=matrix_gen_time+time_facto + logdet_calculate + time_solve; + avg_flops_per_iter+=flops / 1e9 / (time_facto + logdet_calculate+time_solve); + final_theta_hat=theta_hat; + + return theta_hat; +} + +void ML_finalize() { + + //writetofile("theta_hat.txt", iter, 1, theta_hat_plot, sizeof(theta) / sizeof(double)); + //writetofile("theta.txt", iter, 1, theta, sizeof(theta) / sizeof(double)); + free(C); + free(Z); + free(Zcpy); + if (check == 1) { + free(Ccpy); + + } +} + + + +double uniform_distribution(double rangeLow, double rangeHigh) { + double myRand = (double) rand() / (double) (1.0 + RAND_MAX); + double range = rangeHigh - rangeLow; + double myRand_scaled = (myRand * range) + rangeLow; + return myRand_scaled; +} + +double CalculateDistance(double x1, double y1, double x2, double y2) { + double distance = sqrt(pow((x1 - x2), 2) + pow((y1 - y2), 2)); + return distance; +} + + +int GenerateXYLoc(int n, char * locs_file, int based_sys) { + + + int i; + + if(strcmp(locs_file,"")==0) + { + //Uniform random generation of distance matrix (For testing Phase) + if (verbose == 1) + fprintf(stderr, "Initializing Locations ...\n"); + + for (i = 0; i < n; i++) { + X[i] = (R - 0.5 + uniform_distribution(MIN_RAND, MAX_RAND)) + * sqrt((double) n); + Y[i] = (L - 0.5 + uniform_distribution(MIN_RAND, MAX_RAND)) + * sqrt((double) n); + } + } + else + { + + //exit(0); + if (verbose == 1) + fprintf(stderr, "Reading Locations from file ...\n"); + + + FILE * fp; + char * line = NULL; + size_t len = 0; + ssize_t read; + char * pch; + int str_count=0; + + fp = fopen(locs_file, "r"); + if (fp == NULL) + exit(EXIT_FAILURE); + + //avoid header + read = getline(&line, &len, fp); + while ((read = getline(&line, &len, fp)) != -1) { + str_count=0; + + pch = strtok (line," ,"); + while (pch != NULL) + { + if(str_count==1) + X[i]=atof(pch); + else if(str_count==2) + Y[i]=atof(pch); + pch = strtok (NULL, " ,"); + str_count++; + } + + // printf("X[i]=: %f, Y[i]=: %f\n", X[i],Y[i]); + i++; + + } + + fclose(fp); + if (line) + free(line); + + printf("\nMatrix Size: %d, \n\n",N); + } + + return 0; +} + +int PLASMA_MLE_GenCovMat_Tile_Async(PLASMA_desc *descA, PLASMA_sequence *sequence, + PLASMA_request *request, double * theta) { + + //Dynamic scheduler functions + Quark *quark; + Quark_Task_Flags task_flags = Quark_Task_Flags_Initializer; + int m, n; + int ldam; + int tempnn, tempmm; + PLASMA_desc A = *descA; + + + //printf("%f, %f, %f, \n", theta[0],theta[1],theta[2]); + //exit(0); + + //get Quark for PLASMA + PLASMA_Get_Quark(&quark); + + //Set various task level flags. This flag data structure is then provided when the task is created/inserted. Each flag can take a value which is either an integer or a pointer. + QUARK_Task_Flag_Set(&task_flags, TASK_SEQUENCE, + (intptr_t) sequence->quark_sequence); + + //mt is the number of tile rows of the sub-matrix -- nt is the number of tile columns of the sub-matrix -- mb the number of rows in a tile + for (m = 0; m < A.mt; m++) { + tempmm = m == A.mt - 1 ? A.m - m * A.mb : A.mb; + ldam = BLKLDD(A, m); + + for (n = 0; n < A.nt; n++) { + //if( n > m) break; + tempnn = n == A.nt - 1 ? A.n - n * A.nb : A.nb; + QUARK_CORE_dGenCovMat(quark, &task_flags, tempmm, tempnn, A(m, n),ldam, m * A.mb, n * A.nb, theta); + } + + } + + return PLASMA_SUCCESS; +} + + + +int PLASMA_MLE_GenZVec_Tile_Async(PLASMA_desc *descA, int * r, PLASMA_sequence *sequence, + PLASMA_request *request) { + + + //Dynamic scheduler functions + Quark *quark; + Quark_Task_Flags task_flags = Quark_Task_Flags_Initializer; + int m; + int ldam; + int tempmm; + PLASMA_desc A = *descA; + + //get Quark for PLASMA + PLASMA_Get_Quark(&quark); + + //Set various task level flags. This flag data structure is then provided when the task is created/inserted. Each flag can take a value which is either an integer or a pointer. + QUARK_Task_Flag_Set(&task_flags, TASK_SEQUENCE, + (intptr_t) sequence->quark_sequence); + + + + + + + //mt is the number of tile rows of the sub-matrix -- nt is the number of tile columns of the sub-matrix -- mb the number of rows in a tile + for (m = 0; m < A.mt; m++) { + tempmm = m == A.mt - 1 ? A.m - m * A.mb : A.mb; + ldam= BLKLDD(A, m); + + + QUARK_CORE_dGenZVec(quark, &task_flags, tempmm, 1, A(m,0 ),ldam, m * A.mb, 0, r); + } + + return PLASMA_SUCCESS; +} + + +int PLASMA_MLE_det_Tile_Async(PLASMA_desc *descA, PLASMA_sequence *sequence, + PLASMA_request *request,double * det_acc) { + + + //Dynamic scheduler functions + Quark *quark; + Quark_Task_Flags task_flags = Quark_Task_Flags_Initializer; + int m, n; + int ldam; + int tempnn, tempmm; + PLASMA_desc A = *descA; + + *det_acc=1; + + + //get Quark for PLASMA + PLASMA_Get_Quark(&quark); + + //Set various task level flags. This flag data structure is then provided when the task is created/inserted. Each flag can take a value which is either an integer or a pointer. + QUARK_Task_Flag_Set(&task_flags, TASK_SEQUENCE, + (intptr_t) sequence->quark_sequence); + + + //mt is the number of tile rows of the sub-matrix -- nt is the number of tile columns of the sub-matrix -- mb the number of rows in a tile + for (m = 0; m < A.mt; m++) { + tempmm = m == A.mt - 1 ? A.m - m * A.mb : A.mb; + ldam = BLKLDD(A, m); + + for (n = 0; n < A.nt; n++) { + //generate the Lower and diagonal tiles if symmetric + // if(part == 1 && n > m) break; + tempnn = n == A.nt - 1 ? A.n - n * A.nb : A.nb; + QUARK_CORE_det(quark, &task_flags, tempmm, tempnn, A(m, n),ldam, m * A.mb, n * A.nb, det_acc); + + + } + + } + + + QUARK_Barrier(quark); + + return PLASMA_SUCCESS; +} + + +void QUARK_CORE_dGenCovMat(Quark *quark, Quark_Task_Flags *task_flags, int m, + int n, double *A, int lda, int m0, int n0, double * theta) { + /*DAG_CORE_GenCovMat; + Called by the master thread. Add a new task to the scheduler, providing the data pointers, sizes, and dependency information. + This function provides the main user interface for the user to write data-dependent algorithms.*/ + //printf("%f, %f, %f, \n", theta[0],theta[1],theta[2]); + //exit(0); + + + QUARK_Insert_Task(quark, CORE_dGenCovMat_quark, task_flags, sizeof(int), &m, + VALUE, sizeof(int), &n, VALUE, sizeof(double) * lda * n, A, + OUTPUT | LOCALITY, sizeof(int), &lda, VALUE, sizeof(int), &m0, + VALUE, sizeof(int), &n0, VALUE, 3*sizeof(double), theta, INPUT, 0); + +} + +void QUARK_CORE_dGenZVec(Quark *quark, Quark_Task_Flags *task_flags, int m, + int n, double *A, int lda, int m0, int n0, double * r) { + /*DAG_CORE_GenCovMat; + Called by the master thread. Add a new task to the scheduler, providing the data pointers, sizes, and dependency information. + This function provides the main user interface for the user to write data-dependent algorithms.*/ + QUARK_Insert_Task(quark, CORE_dGenZVec_quark, task_flags, sizeof(int), &m, + VALUE, sizeof(int), &n, VALUE, sizeof(double) * lda * n, A, + OUTPUT | LOCALITY, sizeof(int), &lda, VALUE, sizeof(int), &m0, + VALUE, sizeof(int), &n0, VALUE,sizeof(double)*lda*n,r,INPUT, 0); + + +} + + + +void QUARK_CORE_det(Quark *quark, Quark_Task_Flags *task_flags, int m, + int n, double *A, int lda, int m0, int n0, double * determinant ) { + /*DAG_CORE_GenCovMat; + Called by the master thread. Add a new task to the scheduler, providing the data pointers, sizes, and dependency information. + This function provides the main user interface for the user to write data-dependent algorithms.*/ + QUARK_Insert_Task(quark, CORE_det_quark, task_flags, sizeof(int), &m, + VALUE, sizeof(int), &n, VALUE, sizeof(double) * lda * n, A, + INPUT, sizeof(int), &lda, VALUE, sizeof(int), &m0, + VALUE, sizeof(int), &n0, VALUE, sizeof(double), determinant, INOUT, 0); + +} + +void CORE_dGenCovMat_quark(Quark *quark) { + + int m; + int n; + double *A; + int lda; + int m0; + int n0; + double * theta; + + + quark_unpack_args_7(quark, m, n, A, lda, m0, n0, theta); + + //printf("%f, %f, %f, \n", theta[0],theta[1],theta[2]); + //exit(0); + + matcov_comp_Tile(A, m, n, m0, n0, theta); + +} + +void CORE_dGenZVec_quark(Quark *quark) { + + int m; + int n; + double *A; + int lda; + int m0; + int n0; + double * r; + + quark_unpack_args_7(quark, m, n, A, lda, m0, n0,r); + veccov_comp_Tile(A, m, n, m0, n0,r); + +} + + +void CORE_det_quark(Quark *quark) { + + int m; + int n; + double *A; + int lda; + int m0; + int n0; + double *determinant; + + quark_unpack_args_7(quark, m, n, A, lda, m0, n0, determinant); + det_comp_Tile(A, m, n, m0, n0,determinant); +} + +void matcov_comp_Tile(double * A, int m, int n, int m0, int n0, double * theta) { + + + + int i, j; + int x = m0; + int y = n0; + + double dist=0.0; + double expr=0.0; + double con=0.0; + + + + con=pow(2,(theta[2]-1)) * tgamma(theta[2]); + + con=1.0/con; + con=theta[0]*con; + + for (i = 0; i < m; i++) { + y = n0; + + for (j = 0; j < n; j++) { + + expr=CalculateDistance(X[x], Y[x], X[y], Y[y])/theta[1]; + expr= expr==0? 1e-10:expr; + A[i + j * m]=con*pow(expr,theta[2])*gsl_sf_bessel_Knu(theta[2],expr); // Matern Function + + //if(r1!=r2) + //printf("%f - %f - %f - %f - %f - %f - %f - %f - %f\n",A[i + j * m],X[x],Y[x],X[y],Y[y],theta[1],con,expr,gsl_sf_bessel_Knu(theta[2],expr)); + + y++; + } + x++; + } + + /* + + for (i = 0; i < m; i++) { + y = n0; + for (j = 0; j < n; j++) { + A[i + j * m] = + A[i + j * m] == 1 ? +1 : +exp(-CalculateDistance(X[x], Y[x], X[y], Y[y]) / theta[1]); + +y++; +} +x++; +} +*/ +} + + + + + +void det_comp_Tile(double * A, int m, int n, int m0, int n0,double * res) { + + //*res=1; + //printf("yes\n"); + int i, j; + int x = m0; + int y = n0; + + for (i = 0; i < m; i++) { + y = n0; + for (j = 0; j < n; j++) { + if(x==y) + { + *res*=A[i + j * m]; + if(*res==0) + return; + //printf("A[i+j*m: %f \n",A[i+j*m]); + } + + y++; + } + x++; + } + + //printf("*res= %f\n", *res); +} + + + + +void veccov_comp_Tile(double * Z, int m, int n, int m0, int n0, double *r) { + + int i=0; + + for(i=0;istatus != CHAMELEON_SUCCESS) + return -2; + RUNTIME_options_init(&options, morse, sequence, request); + + int m, n, m0, n0; + int ldam; + int tempmm,tempnn; + CHAM_desc_t A = *descA; + + struct starpu_codelet *cl=&cl_dGenCovMat; + + + + + for(m=0; mstatus != CHAMELEON_SUCCESS) + return -2; + RUNTIME_options_init(&options, morse, sequence, request); + + int m,m0,n0; + int ldam; + int tempmm, tempnn; + CHAM_desc_t A = *descA; + + + + struct starpu_codelet *cl=&cl_GenZVec; + + + for (m = 0; m < A.mt; m++) { + tempmm = m == A.mt-1 ? A.m - m * A.mb : A.mb; + ldam = mBLKLDD(descA, m); + + tempnn=1; + + double *data=(double*)morse_getaddr_ccrb(descA,m,0); + + m0= m * A.mb; + n0= 0; + + starpu_insert_task(cl, + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &tempnn, sizeof(int), + STARPU_VALUE, &data, sizeof(double*), + STARPU_VALUE, &ldam, sizeof(int), + STARPU_VALUE, &m0, sizeof(int), + STARPU_VALUE, &n0, sizeof(int), + STARPU_VALUE, &r, sizeof(double), + 0); + + } + + RUNTIME_options_finalize(&options, morse); + CHAMELEON_TASK_dataflush_all(); + return CHAMELEON_SUCCESS; +} + + +//*****************************************************************************(3) +void CORE_det_starpu(void *buffers[],void *cl_arg){ + int m; + int n; + double *A; + int lda; + int m0; + int n0; + double *determinant; + + starpu_codelet_unpack_args(cl_arg, &m, &n, &A, &lda, &m0, &n0, &determinant); + det_comp_Tile(A, m, n, m0, n0, determinant); + + //printf("det=%f:\n", determinant); +} + +static struct starpu_codelet cl_det = +{ + .where = STARPU_CPU, + .cpu_funcs = {CORE_det_starpu}, + .nbuffers = 0 +}; + + +int EXAGEOSTAT_MLE_det_Tile_Async(CHAM_desc_t *descA, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request, double * det_acc) { + + CHAM_context_t *morse; + RUNTIME_option_t options; + morse = chameleon_context_self(); + if (sequence->status != CHAMELEON_SUCCESS) + return -2; + + RUNTIME_options_init(&options, morse, sequence, request); + + int m,n,m0,n0; + int ldam; + int tempmm, tempnn; + CHAM_desc_t A = *descA; + *det_acc=1.0; + //double det_val=*det_acc; + struct starpu_codelet *cl=&cl_det; + + for(m=0; m= 0) */ + /* Note that for x == 0 the functions bessy and bessk are not */ + /* defined and a blank is returned. */ + /*------------------------------------------------------------*/ +{ + int j; + double by,bym,byp,tox; + + + if (n < 0 || x == 0.0) + { + double dblank; + // setdblank_c( &dblank ); + return( dblank ); + } + if (n == 0) + return( bessy0(x) ); + if (n == 1) + return( bessy1(x) ); + + tox=2.0/x; + by=bessy1(x); + bym=bessy0(x); + for (j=1;j m) break; +tempnn = n == A.nt - 1 ? A.n - n * A.nb : A.nb; + +m0=m*A.mb; +n0=n*A.nb; + +det_comp_Tile(A(m,n), tempmm, tempnn, m0, n0,det_acc); + + + +} + +} + + +PLASMA_Sequence_Wait(); + + +return PLASMA_SUCCESS; +} +*/ + + + + + +int PLASMA_MLE_det_Tile(PLASMA_desc *descA, PLASMA_sequence *sequence, + PLASMA_request *request,double * det_acc) { + + + //Dynamic scheduler functions + Quark *quark; + Quark_Task_Flags task_flags = Quark_Task_Flags_Initializer; + int m, n, m0, n0; + int ldam; + int tempnn, tempmm; + PLASMA_desc A = *descA; + + *det_acc=1; + + + //get Quark for PLASMA + PLASMA_Get_Quark(&quark); + + //Set various task level flags. This flag data structure is then provided when the task is created/inserted. Each flag can take a value which is either an integer or a pointer. + QUARK_Task_Flag_Set(&task_flags, TASK_SEQUENCE, + (intptr_t) sequence->quark_sequence); + + + //mt is the number of tile rows of the sub-matrix -- nt is the number of tile columns of the sub-matrix -- mb the number of rows in a tile + for (m = 0; m < A.mt; m++) { + tempmm = m == A.mt - 1 ? A.m - m * A.mb : A.mb; + ldam = BLKLDD(A, m); + + for (n = 0; n < A.nt; n++) { + //generate the Lower and diagonal tiles if symmetric + // if(part == 1 && n > m) break; + tempnn = n == A.nt - 1 ? A.n - n * A.nb : A.nb; + + m0=m*A.mb; + n0=n*A.nb; + + det_comp_Tile(A(m,n), tempmm, tempnn, m0, n0,det_acc); + + + } + + } + + + QUARK_Barrier(quark); + + return PLASMA_SUCCESS; +} + + +int EXAGEOSTAT_MLE_det_Tile(CHAM_desc_t *descA, RUNTIME_sequence_t *sequence, RUNTIME_request_t *request, double * det_acc) { + + CHAM_context_t *morse; + RUNTIME_option_t options; + morse = chameleon_context_self(); + if (sequence->status != CHAMELEON_SUCCESS) + return -2; + + RUNTIME_options_init(&options, morse, sequence, request); + + int m,n,m0,n0; + int ldam; + int tempmm, tempnn; + CHAM_desc_t A = *descA; + *det_acc=1.0; + //double det_val=*det_acc; + struct starpu_codelet *cl=&cl_det; + + for(m=0; m (__n)) ? ((double)(__n) * ((double)(__n) * ( 0.5-(1./3.) * (double)(__n) + (double)(__m)) + (double)(__m) + 23. / 6.)) \ + : ((double)(__m) * ((double)(__m) * ( -0.5-(1./3.) * (double)(__m) + (double)(__n)) + 2.*(double)(__n) + 23. / 6.)) ) +#define FADDS_GEQRF(__m, __n) (((__m) > (__n)) ? ((double)(__n) * ((double)(__n) * ( 0.5-(1./3.) * (double)(__n) + (double)(__m)) + 5. / 6.)) \ + : ((double)(__m) * ((double)(__m) * ( -0.5-(1./3.) * (double)(__m) + (double)(__n)) + (double)(__n) + 5. / 6.)) ) + +#define FMULS_GEQLF(__m, __n) FMULS_GEQRF(__m, __n) +#define FADDS_GEQLF(__m, __n) FADDS_GEQRF(__m, __n) + +#define FMULS_GERQF(__m, __n) (((__m) > (__n)) ? ((double)(__n) * ((double)(__n) * ( 0.5-(1./3.) * (double)(__n) + (double)(__m)) + (double)(__m) + 29. / 6.)) \ + : ((double)(__m) * ((double)(__m) * ( -0.5-(1./3.) * (double)(__m) + (double)(__n)) + 2.*(double)(__n) + 29. / 6.)) ) +#define FADDS_GERQF(__m, __n) (((__m) > (__n)) ? ((double)(__n) * ((double)(__n) * ( -0.5-(1./3.) * (double)(__n) + (double)(__m)) + (double)(__m) + 5. / 6.)) \ + : ((double)(__m) * ((double)(__m) * ( 0.5-(1./3.) * (double)(__m) + (double)(__n)) + + 5. / 6.)) ) + +#define FMULS_GELQF(__m, __n) FMULS_GERQF(__m, __n) +#define FADDS_GELQF(__m, __n) FADDS_GERQF(__m, __n) + +#define FMULS_UNGQR(__m, __n, __k) ((double)(__k) * (2.* (double)(__m) * (double)(__n) + 2. * (double)(__n) - 5./3. + (double)(__k) * ( 2./3. * (double)(__k) - ((double)(__m) + (double)(__n)) - 1.))) +#define FADDS_UNGQR(__m, __n, __k) ((double)(__k) * (2.* (double)(__m) * (double)(__n) + (double)(__n) - (double)(__m) + 1./3. + (double)(__k) * ( 2./3. * (double)(__k) - ((double)(__m) + (double)(__n)) ))) +#define FMULS_UNGQL FMULS_UNGQR +#define FMULS_ORGQR FMULS_UNGQR +#define FMULS_ORGQL FMULS_UNGQR +#define FADDS_UNGQL FADDS_UNGQR +#define FADDS_ORGQR FADDS_UNGQR +#define FADDS_ORGQL FADDS_UNGQR + +#define FMULS_UNGRQ(__m, __n, __k) ((double)(__k) * (2.* (double)(__m) * (double)(__n) + (double)(__m) + (double)(__n) - 2./3. + (double)(__k) * ( 2./3. * (double)(__k) - ((double)(__m) + (double)(__n)) - 1.))) +#define FADDS_UNGRQ(__m, __n, __k) ((double)(__k) * (2.* (double)(__m) * (double)(__n) + (double)(__m) - (double)(__n) + 1./3. + (double)(__k) * ( 2./3. * (double)(__k) - ((double)(__m) + (double)(__n)) ))) +#define FMULS_UNGLQ FMULS_UNGRQ +#define FMULS_ORGRQ FMULS_UNGRQ +#define FMULS_ORGLQ FMULS_UNGRQ +#define FADDS_UNGLQ FADDS_UNGRQ +#define FADDS_ORGRQ FADDS_UNGRQ +#define FADDS_ORGLQ FADDS_UNGRQ + +#define FMULS_GEQRS(__m, __n, __nrhs) ((double)(__nrhs) * ((double)(__n) * ( 2.* (double)(__m) - 0.5 * (double)(__n) + 2.5))) +#define FADDS_GEQRS(__m, __n, __nrhs) ((double)(__nrhs) * ((double)(__n) * ( 2.* (double)(__m) - 0.5 * (double)(__n) + 0.5))) + +//UNMQR, UNMLQ, UNMQL, UNMRQ (Left) +//UNMQR, UNMLQ, UNMQL, UNMRQ (Right) + +#define FMULS_TRTRI(__n) ((double)(__n) * ((double)(__n) * ( 1./6. * (double)(__n) + 0.5 ) + 1./3.)) +#define FADDS_TRTRI(__n) ((double)(__n) * ((double)(__n) * ( 1./6. * (double)(__n) - 0.5 ) + 1./3.)) + +#define FMULS_GEHRD(__n) ( (double)(__n) * ((double)(__n) * (5./3. *(double)(__n) + 0.5) - 7./6.) - 13. ) +#define FADDS_GEHRD(__n) ( (double)(__n) * ((double)(__n) * (5./3. *(double)(__n) - 1. ) - 2./3.) - 8. ) + +#define FMULS_SYTRD(__n) ( (double)(__n) * ( (double)(__n) * ( 2./3. * (double)(__n) + 2.5 ) - 1./6. ) - 15.) +#define FADDS_SYTRD(__n) ( (double)(__n) * ( (double)(__n) * ( 2./3. * (double)(__n) + 1. ) - 8./3. ) - 4.) +#define FMULS_HETRD FMULS_SYTRD +#define FADDS_HETRD FADDS_SYTRD + +#define FMULS_GEBRD(__m, __n) ( ((__m) >= (__n)) ? ((double)(__n) * ((double)(__n) * (2. * (double)(__m) - 2./3. * (double)(__n) + 2. ) + 20./3.)) \ + : ((double)(__m) * ((double)(__m) * (2. * (double)(__n) - 2./3. * (double)(__m) + 2. ) + 20./3.)) ) +#define FADDS_GEBRD(__m, __n) ( ((__m) >= (__n)) ? ((double)(__n) * ((double)(__n) * (2. * (double)(__m) - 2./3. * (double)(__n) + 1. ) - (double)(__m) + 5./3.)) \ + : ((double)(__m) * ((double)(__m) * (2. * (double)(__n) - 2./3. * (double)(__m) + 1. ) - (double)(__n) + 5./3.)) ) + + +/******************************************************************************* + * Users functions + ******************************************************************************/ + +/* + * Level 2 BLAS + */ +#define FLOPS_ZGEMV(__m, __n) (6. * FMULS_GEMV((__m), (__n)) + 2.0 * FADDS_GEMV((__m), (__n)) ) +#define FLOPS_CGEMV(__m, __n) (6. * FMULS_GEMV((__m), (__n)) + 2.0 * FADDS_GEMV((__m), (__n)) ) +#define FLOPS_DGEMV(__m, __n) ( FMULS_GEMV((__m), (__n)) + FADDS_GEMV((__m), (__n)) ) +#define FLOPS_SGEMV(__m, __n) ( FMULS_GEMV((__m), (__n)) + FADDS_GEMV((__m), (__n)) ) + +#define FLOPS_ZHEMV(__n) (6. * FMULS_HEMV((__n)) + 2.0 * FADDS_HEMV((__n)) ) +#define FLOPS_CHEMV(__n) (6. * FMULS_HEMV((__n)) + 2.0 * FADDS_HEMV((__n)) ) + +#define FLOPS_ZSYMV(__n) (6. * FMULS_SYMV((__n)) + 2.0 * FADDS_SYMV((__n)) ) +#define FLOPS_CSYMV(__n) (6. * FMULS_SYMV((__n)) + 2.0 * FADDS_SYMV((__n)) ) +#define FLOPS_DSYMV(__n) ( FMULS_SYMV((__n)) + FADDS_SYMV((__n)) ) +#define FLOPS_SSYMV(__n) ( FMULS_SYMV((__n)) + FADDS_SYMV((__n)) ) + +/* + * Level 3 BLAS + */ +#define FLOPS_ZGEMM(__m, __n, __k) (6. * FMULS_GEMM((__m), (__n), (__k)) + 2.0 * FADDS_GEMM((__m), (__n), (__k)) ) +#define FLOPS_CGEMM(__m, __n, __k) (6. * FMULS_GEMM((__m), (__n), (__k)) + 2.0 * FADDS_GEMM((__m), (__n), (__k)) ) +#define FLOPS_DGEMM(__m, __n, __k) ( FMULS_GEMM((__m), (__n), (__k)) + FADDS_GEMM((__m), (__n), (__k)) ) +#define FLOPS_SGEMM(__m, __n, __k) ( FMULS_GEMM((__m), (__n), (__k)) + FADDS_GEMM((__m), (__n), (__k)) ) + +#define FLOPS_ZHEMM(__side, __m, __n) (6. * FMULS_HEMM(__side, (__m), (__n)) + 2.0 * FADDS_HEMM(__side, (__m), (__n)) ) +#define FLOPS_CHEMM(__side, __m, __n) (6. * FMULS_HEMM(__side, (__m), (__n)) + 2.0 * FADDS_HEMM(__side, (__m), (__n)) ) + +#define FLOPS_ZSYMM(__side, __m, __n) (6. * FMULS_SYMM(__side, (__m), (__n)) + 2.0 * FADDS_SYMM(__side, (__m), (__n)) ) +#define FLOPS_CSYMM(__side, __m, __n) (6. * FMULS_SYMM(__side, (__m), (__n)) + 2.0 * FADDS_SYMM(__side, (__m), (__n)) ) +#define FLOPS_DSYMM(__side, __m, __n) ( FMULS_SYMM(__side, (__m), (__n)) + FADDS_SYMM(__side, (__m), (__n)) ) +#define FLOPS_SSYMM(__side, __m, __n) ( FMULS_SYMM(__side, (__m), (__n)) + FADDS_SYMM(__side, (__m), (__n)) ) + +#define FLOPS_ZHERK(__k, __n) (6. * FMULS_HERK((__k), (__n)) + 2.0 * FADDS_HERK((__k), (__n)) ) +#define FLOPS_CHERK(__k, __n) (6. * FMULS_HERK((__k), (__n)) + 2.0 * FADDS_HERK((__k), (__n)) ) + +#define FLOPS_ZSYRK(__k, __n) (6. * FMULS_SYRK((__k), (__n)) + 2.0 * FADDS_SYRK((__k), (__n)) ) +#define FLOPS_CSYRK(__k, __n) (6. * FMULS_SYRK((__k), (__n)) + 2.0 * FADDS_SYRK((__k), (__n)) ) +#define FLOPS_DSYRK(__k, __n) ( FMULS_SYRK((__k), (__n)) + FADDS_SYRK((__k), (__n)) ) +#define FLOPS_SSYRK(__k, __n) ( FMULS_SYRK((__k), (__n)) + FADDS_SYRK((__k), (__n)) ) + +#define FLOPS_ZHER2K(__k, __n) (6. * FMULS_HER2K((__k), (__n)) + 2.0 * FADDS_HER2K((__k), (__n)) ) +#define FLOPS_CHER2K(__k, __n) (6. * FMULS_HER2K((__k), (__n)) + 2.0 * FADDS_HER2K((__k), (__n)) ) + +#define FLOPS_ZSYR2K(__n, __k) (6. * FMULS_SYR2K((__n), (__k)) + 2.0 * FADDS_SYR2K((__n), (__k)) ) +#define FLOPS_CSYR2K(__n, __k) (6. * FMULS_SYR2K((__n), (__k)) + 2.0 * FADDS_SYR2K((__n), (__k)) ) +#define FLOPS_DSYR2K(__n, __k) ( FMULS_SYR2K((__n), (__k)) + FADDS_SYR2K((__n), (__k)) ) +#define FLOPS_SSYR2K(__n, __k) ( FMULS_SYR2K((__n), (__k)) + FADDS_SYR2K((__n), (__k)) ) + +#define FLOPS_ZTRMM(__side, __m, __n) (6. * FMULS_TRMM(__side, (__m), (__n)) + 2.0 * FADDS_TRMM(__side, (__m), (__n)) ) +#define FLOPS_CTRMM(__side, __m, __n) (6. * FMULS_TRMM(__side, (__m), (__n)) + 2.0 * FADDS_TRMM(__side, (__m), (__n)) ) +#define FLOPS_DTRMM(__side, __m, __n) ( FMULS_TRMM(__side, (__m), (__n)) + FADDS_TRMM(__side, (__m), (__n)) ) +#define FLOPS_STRMM(__side, __m, __n) ( FMULS_TRMM(__side, (__m), (__n)) + FADDS_TRMM(__side, (__m), (__n)) ) + +#define FLOPS_ZTRSM(__side, __m, __n) (6. * FMULS_TRSM(__side, (__m), (__n)) + 2.0 * FADDS_TRSM(__side, (__m), (__n)) ) +#define FLOPS_CTRSM(__side, __m, __n) (6. * FMULS_TRSM(__side, (__m), (__n)) + 2.0 * FADDS_TRSM(__side, (__m), (__n)) ) +#define FLOPS_DTRSM(__side, __m, __n) ( FMULS_TRSM(__side, (__m), (__n)) + FADDS_TRSM(__side, (__m), (__n)) ) +#define FLOPS_STRSM(__side, __m, __n) ( FMULS_TRSM(__side, (__m), (__n)) + FADDS_TRSM(__side, (__m), (__n)) ) + +/* + * Lapack + */ +#define FLOPS_ZGETRF(__m, __n) (6. * FMULS_GETRF((__m), (__n)) + 2.0 * FADDS_GETRF((__m), (__n)) ) +#define FLOPS_CGETRF(__m, __n) (6. * FMULS_GETRF((__m), (__n)) + 2.0 * FADDS_GETRF((__m), (__n)) ) +#define FLOPS_DGETRF(__m, __n) ( FMULS_GETRF((__m), (__n)) + FADDS_GETRF((__m), (__n)) ) +#define FLOPS_SGETRF(__m, __n) ( FMULS_GETRF((__m), (__n)) + FADDS_GETRF((__m), (__n)) ) + +#define FLOPS_ZGETRI(__n) (6. * FMULS_GETRI((__n)) + 2.0 * FADDS_GETRI((__n)) ) +#define FLOPS_CGETRI(__n) (6. * FMULS_GETRI((__n)) + 2.0 * FADDS_GETRI((__n)) ) +#define FLOPS_DGETRI(__n) ( FMULS_GETRI((__n)) + FADDS_GETRI((__n)) ) +#define FLOPS_SGETRI(__n) ( FMULS_GETRI((__n)) + FADDS_GETRI((__n)) ) + +#define FLOPS_ZGETRS(__n, __nrhs) (6. * FMULS_GETRS((__n), (__nrhs)) + 2.0 * FADDS_GETRS((__n), (__nrhs)) ) +#define FLOPS_CGETRS(__n, __nrhs) (6. * FMULS_GETRS((__n), (__nrhs)) + 2.0 * FADDS_GETRS((__n), (__nrhs)) ) +#define FLOPS_DGETRS(__n, __nrhs) ( FMULS_GETRS((__n), (__nrhs)) + FADDS_GETRS((__n), (__nrhs)) ) +#define FLOPS_SGETRS(__n, __nrhs) ( FMULS_GETRS((__n), (__nrhs)) + FADDS_GETRS((__n), (__nrhs)) ) + +#define FLOPS_ZPOTRF(__n) (6. * FMULS_POTRF((__n)) + 2.0 * FADDS_POTRF((__n)) ) +#define FLOPS_CPOTRF(__n) (6. * FMULS_POTRF((__n)) + 2.0 * FADDS_POTRF((__n)) ) +#define FLOPS_DPOTRF(__n) ( FMULS_POTRF((__n)) + FADDS_POTRF((__n)) ) +#define FLOPS_SPOTRF(__n) ( FMULS_POTRF((__n)) + FADDS_POTRF((__n)) ) + +#define FLOPS_ZPOTRI(__n) (6. * FMULS_POTRI((__n)) + 2.0 * FADDS_POTRI((__n)) ) +#define FLOPS_CPOTRI(__n) (6. * FMULS_POTRI((__n)) + 2.0 * FADDS_POTRI((__n)) ) +#define FLOPS_DPOTRI(__n) ( FMULS_POTRI((__n)) + FADDS_POTRI((__n)) ) +#define FLOPS_SPOTRI(__n) ( FMULS_POTRI((__n)) + FADDS_POTRI((__n)) ) + +#define FLOPS_ZPOTRS(__n, __nrhs) (6. * FMULS_POTRS((__n), (__nrhs)) + 2.0 * FADDS_POTRS((__n), (__nrhs)) ) +#define FLOPS_CPOTRS(__n, __nrhs) (6. * FMULS_POTRS((__n), (__nrhs)) + 2.0 * FADDS_POTRS((__n), (__nrhs)) ) +#define FLOPS_DPOTRS(__n, __nrhs) ( FMULS_POTRS((__n), (__nrhs)) + FADDS_POTRS((__n), (__nrhs)) ) +#define FLOPS_SPOTRS(__n, __nrhs) ( FMULS_POTRS((__n), (__nrhs)) + FADDS_POTRS((__n), (__nrhs)) ) + +#define FLOPS_ZGEQRF(__m, __n) (6. * FMULS_GEQRF((__m), (__n)) + 2.0 * FADDS_GEQRF((__m), (__n)) ) +#define FLOPS_CGEQRF(__m, __n) (6. * FMULS_GEQRF((__m), (__n)) + 2.0 * FADDS_GEQRF((__m), (__n)) ) +#define FLOPS_DGEQRF(__m, __n) ( FMULS_GEQRF((__m), (__n)) + FADDS_GEQRF((__m), (__n)) ) +#define FLOPS_SGEQRF(__m, __n) ( FMULS_GEQRF((__m), (__n)) + FADDS_GEQRF((__m), (__n)) ) + +#define FLOPS_ZGEQLF(__m, __n) (6. * FMULS_GEQLF((__m), (__n)) + 2.0 * FADDS_GEQLF((__m), (__n)) ) +#define FLOPS_CGEQLF(__m, __n) (6. * FMULS_GEQLF((__m), (__n)) + 2.0 * FADDS_GEQLF((__m), (__n)) ) +#define FLOPS_DGEQLF(__m, __n) ( FMULS_GEQLF((__m), (__n)) + FADDS_GEQLF((__m), (__n)) ) +#define FLOPS_SGEQLF(__m, __n) ( FMULS_GEQLF((__m), (__n)) + FADDS_GEQLF((__m), (__n)) ) + +#define FLOPS_ZGERQF(__m, __n) (6. * FMULS_GERQF((__m), (__n)) + 2.0 * FADDS_GERQF((__m), (__n)) ) +#define FLOPS_CGERQF(__m, __n) (6. * FMULS_GERQF((__m), (__n)) + 2.0 * FADDS_GERQF((__m), (__n)) ) +#define FLOPS_DGERQF(__m, __n) ( FMULS_GERQF((__m), (__n)) + FADDS_GERQF((__m), (__n)) ) +#define FLOPS_SGERQF(__m, __n) ( FMULS_GERQF((__m), (__n)) + FADDS_GERQF((__m), (__n)) ) + +#define FLOPS_ZGELQF(__m, __n) (6. * FMULS_GELQF((__m), (__n)) + 2.0 * FADDS_GELQF((__m), (__n)) ) +#define FLOPS_CGELQF(__m, __n) (6. * FMULS_GELQF((__m), (__n)) + 2.0 * FADDS_GELQF((__m), (__n)) ) +#define FLOPS_DGELQF(__m, __n) ( FMULS_GELQF((__m), (__n)) + FADDS_GELQF((__m), (__n)) ) +#define FLOPS_SGELQF(__m, __n) ( FMULS_GELQF((__m), (__n)) + FADDS_GELQF((__m), (__n)) ) + +#define FLOPS_ZUNGQR(__m, __n, __k) (6. * FMULS_UNGQR((__m), (__n), (__k)) + 2.0 * FADDS_UNGQR((__m), (__n), (__k)) ) +#define FLOPS_CUNGQR(__m, __n, __k) (6. * FMULS_UNGQR((__m), (__n), (__k)) + 2.0 * FADDS_UNGQR((__m), (__n), (__k)) ) +#define FLOPS_DUNGQR(__m, __n, __k) ( FMULS_UNGQR((__m), (__n), (__k)) + FADDS_UNGQR((__m), (__n), (__k)) ) +#define FLOPS_SUNGQR(__m, __n, __k) ( FMULS_UNGQR((__m), (__n), (__k)) + FADDS_UNGQR((__m), (__n), (__k)) ) + +#define FLOPS_ZUNGQL(__m, __n, __k) (6. * FMULS_UNGQL((__m), (__n), (__k)) + 2.0 * FADDS_UNGQL((__m), (__n), (__k)) ) +#define FLOPS_CUNGQL(__m, __n, __k) (6. * FMULS_UNGQL((__m), (__n), (__k)) + 2.0 * FADDS_UNGQL((__m), (__n), (__k)) ) +#define FLOPS_DUNGQL(__m, __n, __k) ( FMULS_UNGQL((__m), (__n), (__k)) + FADDS_UNGQL((__m), (__n), (__k)) ) +#define FLOPS_SUNGQL(__m, __n, __k) ( FMULS_UNGQL((__m), (__n), (__k)) + FADDS_UNGQL((__m), (__n), (__k)) ) + +#define FLOPS_ZORGQR(__m, __n, __k) (6. * FMULS_ORGQR((__m), (__n), (__k)) + 2.0 * FADDS_ORGQR((__m), (__n), (__k)) ) +#define FLOPS_CORGQR(__m, __n, __k) (6. * FMULS_ORGQR((__m), (__n), (__k)) + 2.0 * FADDS_ORGQR((__m), (__n), (__k)) ) +#define FLOPS_DORGQR(__m, __n, __k) ( FMULS_ORGQR((__m), (__n), (__k)) + FADDS_ORGQR((__m), (__n), (__k)) ) +#define FLOPS_SORGQR(__m, __n, __k) ( FMULS_ORGQR((__m), (__n), (__k)) + FADDS_ORGQR((__m), (__n), (__k)) ) + +#define FLOPS_ZORGQL(__m, __n, __k) (6. * FMULS_ORGQL((__m), (__n), (__k)) + 2.0 * FADDS_ORGQL((__m), (__n), (__k)) ) +#define FLOPS_CORGQL(__m, __n, __k) (6. * FMULS_ORGQL((__m), (__n), (__k)) + 2.0 * FADDS_ORGQL((__m), (__n), (__k)) ) +#define FLOPS_DORGQL(__m, __n, __k) ( FMULS_ORGQL((__m), (__n), (__k)) + FADDS_ORGQL((__m), (__n), (__k)) ) +#define FLOPS_SORGQL(__m, __n, __k) ( FMULS_ORGQL((__m), (__n), (__k)) + FADDS_ORGQL((__m), (__n), (__k)) ) + +#define FLOPS_ZUNGRQ(__m, __n, __k) (6. * FMULS_UNGRQ((__m), (__n), (__k)) + 2.0 * FADDS_UNGRQ((__m), (__n), (__k)) ) +#define FLOPS_CUNGRQ(__m, __n, __k) (6. * FMULS_UNGRQ((__m), (__n), (__k)) + 2.0 * FADDS_UNGRQ((__m), (__n), (__k)) ) +#define FLOPS_DUNGRQ(__m, __n, __k) ( FMULS_UNGRQ((__m), (__n), (__k)) + FADDS_UNGRQ((__m), (__n), (__k)) ) +#define FLOPS_SUNGRQ(__m, __n, __k) ( FMULS_UNGRQ((__m), (__n), (__k)) + FADDS_UNGRQ((__m), (__n), (__k)) ) + +#define FLOPS_ZUNGLQ(__m, __n, __k) (6. * FMULS_UNGLQ((__m), (__n), (__k)) + 2.0 * FADDS_UNGLQ((__m), (__n), (__k)) ) +#define FLOPS_CUNGLQ(__m, __n, __k) (6. * FMULS_UNGLQ((__m), (__n), (__k)) + 2.0 * FADDS_UNGLQ((__m), (__n), (__k)) ) +#define FLOPS_DUNGLQ(__m, __n, __k) ( FMULS_UNGLQ((__m), (__n), (__k)) + FADDS_UNGLQ((__m), (__n), (__k)) ) +#define FLOPS_SUNGLQ(__m, __n, __k) ( FMULS_UNGLQ((__m), (__n), (__k)) + FADDS_UNGLQ((__m), (__n), (__k)) ) + +#define FLOPS_ZORGRQ(__m, __n, __k) (6. * FMULS_ORGRQ((__m), (__n), (__k)) + 2.0 * FADDS_ORGRQ((__m), (__n), (__k)) ) +#define FLOPS_CORGRQ(__m, __n, __k) (6. * FMULS_ORGRQ((__m), (__n), (__k)) + 2.0 * FADDS_ORGRQ((__m), (__n), (__k)) ) +#define FLOPS_DORGRQ(__m, __n, __k) ( FMULS_ORGRQ((__m), (__n), (__k)) + FADDS_ORGRQ((__m), (__n), (__k)) ) +#define FLOPS_SORGRQ(__m, __n, __k) ( FMULS_ORGRQ((__m), (__n), (__k)) + FADDS_ORGRQ((__m), (__n), (__k)) ) + +#define FLOPS_ZORGLQ(__m, __n, __k) (6. * FMULS_ORGLQ((__m), (__n), (__k)) + 2.0 * FADDS_ORGLQ((__m), (__n), (__k)) ) +#define FLOPS_CORGLQ(__m, __n, __k) (6. * FMULS_ORGLQ((__m), (__n), (__k)) + 2.0 * FADDS_ORGLQ((__m), (__n), (__k)) ) +#define FLOPS_DORGLQ(__m, __n, __k) ( FMULS_ORGLQ((__m), (__n), (__k)) + FADDS_ORGLQ((__m), (__n), (__k)) ) +#define FLOPS_SORGLQ(__m, __n, __k) ( FMULS_ORGLQ((__m), (__n), (__k)) + FADDS_ORGLQ((__m), (__n), (__k)) ) + +#define FLOPS_ZGEQRS(__m, __n, __nrhs) (6. * FMULS_GEQRS((__m), (__n), (__nrhs)) + 2.0 * FADDS_GEQRS((__m), (__n), (__nrhs)) ) +#define FLOPS_CGEQRS(__m, __n, __nrhs) (6. * FMULS_GEQRS((__m), (__n), (__nrhs)) + 2.0 * FADDS_GEQRS((__m), (__n), (__nrhs)) ) +#define FLOPS_DGEQRS(__m, __n, __nrhs) ( FMULS_GEQRS((__m), (__n), (__nrhs)) + FADDS_GEQRS((__m), (__n), (__nrhs)) ) +#define FLOPS_SGEQRS(__m, __n, __nrhs) ( FMULS_GEQRS((__m), (__n), (__nrhs)) + FADDS_GEQRS((__m), (__n), (__nrhs)) ) + +#define FLOPS_ZTRTRI(__n) (6. * FMULS_TRTRI((__n)) + 2.0 * FADDS_TRTRI((__n)) ) +#define FLOPS_CTRTRI(__n) (6. * FMULS_TRTRI((__n)) + 2.0 * FADDS_TRTRI((__n)) ) +#define FLOPS_DTRTRI(__n) ( FMULS_TRTRI((__n)) + FADDS_TRTRI((__n)) ) +#define FLOPS_STRTRI(__n) ( FMULS_TRTRI((__n)) + FADDS_TRTRI((__n)) ) + +#define FLOPS_ZGEHRD(__n) (6. * FMULS_GEHRD((__n)) + 2.0 * FADDS_GEHRD((__n)) ) +#define FLOPS_CGEHRD(__n) (6. * FMULS_GEHRD((__n)) + 2.0 * FADDS_GEHRD((__n)) ) +#define FLOPS_DGEHRD(__n) ( FMULS_GEHRD((__n)) + FADDS_GEHRD((__n)) ) +#define FLOPS_SGEHRD(__n) ( FMULS_GEHRD((__n)) + FADDS_GEHRD((__n)) ) + +#define FLOPS_ZHETRD(__n) (6. * FMULS_HETRD((__n)) + 2.0 * FADDS_HETRD((__n)) ) +#define FLOPS_CHETRD(__n) (6. * FMULS_HETRD((__n)) + 2.0 * FADDS_HETRD((__n)) ) + +#define FLOPS_ZSYTRD(__n) (6. * FMULS_SYTRD((__n)) + 2.0 * FADDS_SYTRD((__n)) ) +#define FLOPS_CSYTRD(__n) (6. * FMULS_SYTRD((__n)) + 2.0 * FADDS_SYTRD((__n)) ) +#define FLOPS_DSYTRD(__n) ( FMULS_SYTRD((__n)) + FADDS_SYTRD((__n)) ) +#define FLOPS_SSYTRD(__n) ( FMULS_SYTRD((__n)) + FADDS_SYTRD((__n)) ) + +#define FLOPS_ZGEBRD(__m, __n) (6. * FMULS_GEBRD((__m), (__n)) + 2.0 * FADDS_GEBRD((__m), (__n)) ) +#define FLOPS_CGEBRD(__m, __n) (6. * FMULS_GEBRD((__m), (__n)) + 2.0 * FADDS_GEBRD((__m), (__n)) ) +#define FLOPS_DGEBRD(__m, __n) ( FMULS_GEBRD((__m), (__n)) + FADDS_GEBRD((__m), (__n)) ) +#define FLOPS_SGEBRD(__m, __n) ( FMULS_GEBRD((__m), (__n)) + FADDS_GEBRD((__m), (__n)) ) + +#ifdef USE_MATCOV_TILED +#define FLOPS_DCovMat(__m, __n, _l, _type_mat) ( (_type_mat) == 1 ? ((30. + (_l) * 115) * ( (double)(__m) * ((double)(__m) + 1.) / 2.0)) : ( ( _type_mat) == 3 ? ((30. + (_l) * 103) * (double)(__m) * (double)(__n) ) : ((30. + (_l) * 90) * (double)(__m) * (double)(__n) ) ) ) +#else +#define FLOPS_DCovMat(__m, __n) ( 2.0 * (double)(__m) * (double)(__n) ) +#endif + +#ifdef USE_INTERSAMPLE + #define FLOPS_Intersample(__m, __n) ( (double)(__m) * (double)(__n) * 20) + //TODO generate a correct formula +#endif + +#endif /* _FLOPS_H_ */ diff --git a/plasma_version/test_script.sh b/plasma_version/test_script.sh new file mode 100755 index 0000000..6b20d67 --- /dev/null +++ b/plasma_version/test_script.sh @@ -0,0 +1,158 @@ +###################################################################################### Real Dataset +#ncores=4; + +#for ((ts=300;ts<=900;ts+=100)) +#do +# for ((b=ncores; b<=32; b*=2)) +# do + +# for((c=1; c<=1; c+=1)) +# do +# ./MLE --ncores=$b --ts=$ts --locs_file=./NCAR_pinfill_temperatures/METAinfo --obs_dir=./NCAR_pinfill_temperatures --timestamp=$c --async > ./results/$a-$ts-$b-atp-matern-NCAR_pinfill_temperatures.txt + # ./MLE --ncores=$b --ts=$ts --locs_file=./NCAR_pinfill_temperatures/METAinfo --obs_dir=./NCAR_pinfill_temperatures --timestamp=$c --chameleon > ./results/$a-$ts-$b-stc-matern-NCAR_pinfill_temperatures.txt + # ./MLE --ncores=$b --ts=$ts --locs_file=./NCAR_pinfill_precipitation/METAinfo --obs_dir=./NCAR_pinfill_precipitation --timestamp=$c --async > ./results/$a-$ts-$b-atp-matern-NCAR_pinfill_precipitation.txt + # ./MLE --ncores=$b --ts=$ts --locs_file=./NCAR_pinfill_precipitation/METAinfo --obs_dir=./NCAR_pinfill_precipitation --timestamp=$c --chameleon > ./results/$a-$ts-$b-stc-matern-NCAR_pinfill_precipitation.txt + + +# done + # done +#done + + +############################################################################################################################################################################################################### +#N=14000; + +#for ((a=N; a <= 46000 ; a+=8000)) # Double parentheses, and "LIMIT" with no "$". +#do +# last_ts=$a/28; +# for ((ts=200;ts<=$last_ts;ts+=100)) +# do +# if [ $a -le 30000 ] + # then + # ts=300; +# last_ts=200; + # fi + #./MLE --test --N=$a --ts=$ts --ncores=$b --async --kernel=1:?:0.5 --ikernel=1:0.1:0.5 > ./results/$a-$ts-$b-atp-exp.txt + # numactl --interleave=all ./MLE --test --N=$a --ts=$ts --ncores=28 --async --kernel=1:?:0.5 --ikernel=1:0.1:0.5 > ./results/$a-$ts-$b-stc-exp.txt + # ./MLE --test --N=$a --ts=$ts --ncores=$b --async --kernel=?:?:? --ikernel=1:0.05:1 > ./results/$a-$ts-$b-atp-matern.txt + # ./MLE --test --N=$a --ts=$ts --ncores=$b --chameleon --kernel=?:?:? --ikernel=1:0.05:1 > ./results/$a-$ts-$b-stc-matern.txt + +# done + +#done + + + +############################################################################################################################################################################################################### +N=100000; +ncores1=26; + +for ((a=N; a <= 150000 ; a+=25000)) # Double parentheses, and "LIMIT" with no "$". +do +echo N=$a +echo ncores=$ncores1 + for ((ts=400; ts<=(($a/$ncores1)); ts+=50)) + do +echo ts=$ts + + STARPU_SILENT=1 numactl --interleave=all ./MLE --test --N=$a --ts=$ts --ncores=$ncores1 --chameleon --kernel=1:?:0.5 --ikernel=1:0.1:0.5 > ./results/$a-$ts-$b-atp-exp.txt + # ./MLE --test --N=$a --ts=$ts --ncores=$b --chameleon --kernel=1:?:0.5 --ikernel=1:0.1:0.5 > ./results/$a-$ts-$b-stc-exp.txt + # ./MLE --test --N=$a --ts=$ts --ncores=$b --async --kernel=?:?:? --ikernel=1:0.05:1 > ./results/$a-$ts-$b-atp-matern.txt + # ./MLE --test --N=$a --ts=$ts --ncores=$b --chameleon --kernel=?:?:? --ikernel=1:0.05:1 > ./results/$a-$ts-$b-stc-matern.txt + done + +done + + + +############################################################################################################################################################################################################### +#N=30000; + +#for ((a=N; a <= 120000 ; a+=30000)) # Double parentheses, and "LIMIT" with no "$". +#do + +#last_ts=($a/64) + # for ((ts=300;ts<=last_ts;ts+=100)) + # do +# if [ $a -le 14000 ] + # then + # ts=300; +# last_ts=200; + # fi +# if [ $a -le 22000 ] + # then + # ts=500; +# last_ts=200; + # fi +# if [ $a -le 30000 ] + # then + # ts=700; +# last_ts=200; + # fi +# if [ $a -le 38000 ] + # then + # ts=700; +# last_ts=200; + # fi +# if [ $a -le 46000 ] + # then + # ts=700; +# last_ts=200; + # fi + + #./MLE --test --N=$a --ts=$ts --ncores=$b --async --kernel=1:?:0.5 --ikernel=1:0.1:0.5 > ./results/$a-$ts-$b-atp-exp.txt +# numactl --interleave=all ./MLE --test --N=$a --ts=$ts --ncores=64 --chameleon --kernel=?:?:? --ikernel=1:0.05:1 > ./results/$a-$ts-$b-stc-exp.txt + # ./MLE --test --N=$a --ts=$ts --ncores=$b --async --kernel=?:?:? --ikernel=1:0.05:1 > ./results/$a-$ts-$b-atp-matern.txt + # ./MLE --test --N=$a --ts=$ts --ncores=$b --chameleon --kernel=?:?:? --ikernel=1:0.05:1 > ./results/$a-$ts-$b-stc-matern.txt + + done + +done + + + +############################################################################################################################################################################################################### +#N=14000; + +##for ((a=N; a <= 46000 ; a+=8000)) # Double parentheses, and "LIMIT" with no "$". +#do + + # last_ts=($a/28) + # for ((ts=200;ts<=last_ts;ts+=100)) + # do +# if [ $a -le 14000 ] + # then + # ts=300; +# last_ts=200; + # fi +# if [ $a -le 22000 ] + # then + # ts=500; +# last_ts=200; + # fi +# if [ $a -le 30000 ] + # then + # ts=700; +# last_ts=200; + # fi +# if [ $a -le 38000 ] + # then + # ts=200; +# last_ts=100; + # fi +# if [ $a -le 46000 ] + # then + # ts=200; +# last_ts=100; + # fi +# + + + # numactl --interleave=all ./MLE --test --N=$a --ts=$ts --ncores=36 --async --kernel=?:?:? --ikernel=1:0.05:1 > ./results/$a-$ts-$b-atp-exp.txt + # ./MLE --test --N=$a --ts=$ts --ncores=$b --chameleon --kernel=1:?:0.5 --ikernel=1:0.1:0.5 > ./results/$a-$ts-$b-stc-exp.txt + # ./MLE --test --N=$a --ts=$ts --ncores=$b --async --kernel=?:?:? --ikernel=1:0.05:1 > ./results/$a-$ts-$b-atp-matern.txt + # ./MLE --test --N=$a --ts=$ts --ncores=$b --chameleon --kernel=?:?:? --ikernel=1:0.05:1 > ./results/$a-$ts-$b-stc-matern.txt + + # done + +#done diff --git a/plasma_version/testing.c b/plasma_version/testing.c new file mode 100755 index 0000000..a9690d9 --- /dev/null +++ b/plasma_version/testing.c @@ -0,0 +1,2367 @@ +/** + * + * @file testing.c + * + * + * MLE is a software package provided by KAUST, + * King Abdullah University of Science and Technology - ECRC + * + * @version 1.0.0 + * @author Sameh Abdulsh + * @date 2016-11-22 + * @generated d Fri Nov 22 15:11:13 2016 + * + **/ +#include +#include +#include +#include +#include +#include +//#include +#include +#include +#include +#include +#include +#include +#include +#include +#include "flops.h" +#include + +const char *argp_program_version = "Version 1.0"; +const char *argp_program_bug_address = ""; +struct arguments { +// char *args[0]; /* ncores, N, ts, locs_file, obs_dir, and obs_timestamp */ + int test; /* The -t flag (USE Synthetic Dataset*/ + int check; /* The -c flag */ + int verbose; /* The -v flag */ + char *ncores; //Number of cores + char *N; //Matrix size (Only in the case oif sysnthetic dataset) + char *ts; //Tiling size + char *kernel; + int chameleon; // 0--> plasma 1-->chameleon The -sys flag + int async; // 0-->tile 1-->tile_async The -async flag + char *locs_file; // Locations files (in the case of real dataset + char *obs_dir; // Observations directory in the case of real dataset + int timestamp; // obstervations timestamp + +}; + +static struct argp_option options[] = + { + {"test", 't', 0, 0, "Execute in test mode"}, + {"check", 'c', 0, 0, "Produce check output"}, + {"verbose", 'v', 0, 0, "Produce verbose output"}, + {"ncores", 'n', "NCORES", 0, "Number of Cores"}, + {"N", 's', "MATRIX_SIZE", 0, "Synthetic Matrix Size"}, + {"ts", 'e', "TILE_SIZE", 0, "Number of Tiles"}, + {"kernel", 'k', "KERNEL", 0, "Computation Model"}, + {"chameleon", 'b', 0, 0, "Use Chameleon Instead of Plasma"}, + {"async", 'a', 0, 0, "Asynchronous"}, + {"locs_file", 'l', "LOCATIONS_FILE", 0, "Read Locations from this Location File"}, + {"obs_dir", 'o', "OBSERVATIONS_DIRECTORY", 0, "Read Observations from this Directory Path"}, + {"timestamp", 'p', "TIMESTAMP", 0, "Observation Timestamp"}, + {0} + }; + + +static error_t +parse_opt(int key, char *arg, struct argp_state *state) { + struct arguments *arguments = state->input; + + switch (key) { + case 't': + arguments->test = 1; + break; + case 'c': + arguments->check = 1; + break; + case 'v': + arguments->verbose = 1; + break; + case 'k': + arguments->kernel = arg; + break; + + case 'n': + arguments->ncores = arg; //non-optional; + break; + case 's': + arguments->N = arg; + break; + case 'e': + arguments->ts = arg; //non-optional + break; + case 'b': + arguments->chameleon = 1; + break; + case 'a': + arguments->async = 1; + break; + case 'l': + arguments->locs_file = arg; + break; + case 'o': + arguments->obs_dir = arg; + break; + case 'p': + arguments->timestamp = arg; + break; + default: + return ARGP_ERR_UNKNOWN; + } + return 0; +} + +static char args_doc[] = ""; + +static char doc[] = + "NLE -- A program to evaluate Maximum Likelihood function using both real and synthetic dataset on two different platforms (PLASMA (default) and Chameleon)"; + +static struct argp argp = {options, parse_opt, args_doc, doc}; + + +// For Bessel Function (Do not change) +#define ACC 40.0 +#define BIGNO 1.0e10 +#define BIGNI 1.0e-10 +//tiling +#define BLKLDD(A, k) ( ( (k) + (A).i/(A).mb) < (A).lm1 ? (A).mb : (A).lm%(A).mb ) +#define mBLKLDD(A, k) A->get_blkldd( A,k ) +#define A(m, n) (double *)plasma_getaddr(A, m, n) +//Sameh Testing MOde +#define MIN_RAND -0.4 +#define MAX_RAND 0.4 +#define R 2 +#define L 3 +#define THETA1 0.1 //weak=0.03, medium=0.1, strong=0.3 +#define THETA2 0.03 +#define THETA3 0.03 +#define USAGE(args, details) \ + printf(" Proper Usage is : ./main_genton "args" \n" \ + details); + +#define PI (3.141592653589793) + +#define START_TIMING(_t) \ + _t =- cWtime(); + +#define STOP_TIMING(_t) \ + _t += cWtime(); + +double cWtime(void) { + struct timeval tp; + gettimeofday(&tp, NULL); + return tp.tv_sec + 1e-6 * tp.tv_usec; +} + + +static double CalculateDistance(double x1, double y1, double x2, double y2); + +static double uniform_distribution(double rangeLow, double rangeHigh); + +//static void writetofile(char* fname, int m, int n, double* a, int lda); +static void print_matrix(char *desc, int m, int n, double *a, int lda); + +int PLASMA_MLE_GenZVec_Tile_Async(PLASMA_desc *descA, PLASMA_sequence *sequence, + PLASMA_request *request); + +int MORSE_MLE_GenZVec_Tile_Async(MORSE_desc_t *descA, MORSE_sequence_t *sequence, + MORSE_request_t *request); + + +static int GenerateXYLoc(int n, char *locs_file); + + +static double CalculateDistance(double x1, double y1, double x2, double y2); + +static double uniform_distribution(double rangeLow, double rangeHigh); + +//tiling +static void CORE_dGenCovMat_quark(Quark *quark); + +static void CORE_dGenZVec_quark(Quark *quark); + +static int PLASMA_MLE_GenCovMat_Tile_Async(PLASMA_desc *descA, + PLASMA_sequence *sequence, PLASMA_request *request, double *theta); + +static int MORSE_MLE_GenCovMat_Tile_Async(MORSE_desc_t *descA, + MORSE_sequence_t *sequence, MORSE_request_t *request, double *theta); + + +static void QUARK_CORE_dGenCovMat(Quark *quark, Quark_Task_Flags *task_flags, + int m, int n, double *A, int lda, int m0, int n0, double *theta); + +static void matcov_comp_Tile(double *A, int m, int n, int m0, int n0, double *theta); + +static void CORE_det_quark(Quark *quark); + +static void det_comp_Tile(double *A, int m, int n, int m0, int n0, double *determinant); + + +static void QUARK_CORE_det(Quark *quark, Quark_Task_Flags *task_flags, int m, + int n, double *A, int lda, int m0, int n0, double *determinant); + +static int PLASMA_MLE_det_Tile_Async(PLASMA_desc *descA, PLASMA_sequence *sequence, + PLASMA_request *request, double *result); + +static int MORSE_MLE_det_Tile_Async(MORSE_desc_t *descA, MORSE_sequence_t *sequence, + MORSE_request_t *request, double *result); + +void QUARK_CORE_dGenZVec(Quark *quark, Quark_Task_Flags *task_flags, int m, + int n, double *A, int lda, int m0, int n0, double *r); + +void veccov_comp_Tile(double *Z, int m, int n, int m0, int n0, double *r); + +int PLASMA_ML_GenerateZVec_Tile(char *obs_di, int obs_timestamp); + + +double PLASMA_MLE_Tile(unsigned n, const double *theta, double *grad, void *my_func_data); + + +void ML_finalize(); + +int PLASMA_ML_GenerateZVec_Tile_Async(char *obs_dir, int obs_timestamp); + +double PLASMA_MLE_Tile_Async(unsigned n, const double *theta, double *grad, void *my_func_data); + +int MORSE_ML_GenerateZVec_Tile(char *obs_dir, int obs_timestamp); + +double MORSE_MLE_Tile(unsigned n, const double *theta, double *grad, void *my_func_data); + +int MORSE_ML_GenerateZVec_Tile_Async(char *obs_dir, int obs_timestamp); + + +double MORSE_MLE_Tile_Async(unsigned n, const double *theta, double *grad, void *my_func_data); + +int countlines(char *filename); + +static double bessi0(double x); + +static double bessi1(double x); + + +double bessk(int n, double x); + +static double bessk0(double x); + +static double bessk1(double x); + + +double *C; +double *Z; +double *Zcpy; +double *Ccpy; +//******************************************************************** +PLASMA_desc *descC = NULL; +PLASMA_desc *descZ = NULL; +PLASMA_desc *descZcpy = NULL; +MORSE_desc_t *MORSE_descC = NULL; +MORSE_desc_t *MORSE_descZ = NULL; +MORSE_desc_t *MORSE_descZcpy = NULL; +double *X; +double *Y; +//PLASMA sequence uniquely identifies a set of asynchronous function calls sharing common exception handling. +PLASMA_sequence *sequence; +//PLASMA request uniquely identifies each asynchronous function call. +PLASMA_request request[19] = {PLASMA_REQUEST_INITIALIZER, + PLASMA_REQUEST_INITIALIZER, PLASMA_REQUEST_INITIALIZER, + PLASMA_REQUEST_INITIALIZER, PLASMA_REQUEST_INITIALIZER, + PLASMA_REQUEST_INITIALIZER, PLASMA_REQUEST_INITIALIZER, + PLASMA_REQUEST_INITIALIZER, PLASMA_REQUEST_INITIALIZER, + PLASMA_REQUEST_INITIALIZER, PLASMA_REQUEST_INITIALIZER, + PLASMA_REQUEST_INITIALIZER, PLASMA_REQUEST_INITIALIZER, + PLASMA_REQUEST_INITIALIZER, PLASMA_REQUEST_INITIALIZER, + PLASMA_REQUEST_INITIALIZER, PLASMA_REQUEST_INITIALIZER, + + PLASMA_REQUEST_INITIALIZER, PLASMA_REQUEST_INITIALIZER}; +//MORSE sequence uniquely identifies a set of asynchronous function calls sharing common exception handling. +MORSE_sequence_t *msequence; +//MORSE request uniquely identifies each asynchronous function call. +MORSE_request_t mrequest[19] = {MORSE_REQUEST_INITIALIZER, + MORSE_REQUEST_INITIALIZER, MORSE_REQUEST_INITIALIZER, + MORSE_REQUEST_INITIALIZER, MORSE_REQUEST_INITIALIZER, + MORSE_REQUEST_INITIALIZER, MORSE_REQUEST_INITIALIZER, + MORSE_REQUEST_INITIALIZER, MORSE_REQUEST_INITIALIZER, + MORSE_REQUEST_INITIALIZER, MORSE_REQUEST_INITIALIZER, + MORSE_REQUEST_INITIALIZER, MORSE_REQUEST_INITIALIZER, + MORSE_REQUEST_INITIALIZER, MORSE_REQUEST_INITIALIZER, + MORSE_REQUEST_INITIALIZER, MORSE_REQUEST_INITIALIZER, + MORSE_REQUEST_INITIALIZER, MORSE_REQUEST_INITIALIZER}; +//*************************************************************************************** + +int N, NRHS, LDC, LDZ, async, check, verbose; +int iter_count = 0; +int based_sys; +double *THETA; +char *kernel; + +int main(int argc, char **argv) { + + /* Check for number of arguments*/ +/* if (argc != 11) { + USAGE("NCORES N TS CHECK VERBOSE", + " - NCORES : number of cores\n" " - N : the size of the matrix\n" " - TS : tile size\n" //sameh + " - BASED_SYS : Plasma (0) Chameleon(1) \n- ASYNC: asynchronous \n - CHECK : check the factorization and the solution\n" " - VERBOSE : verbose \n"); + return -1; + } + + int ncores = atoi(argv[1]); + N = atoi(argv[2]); + int ts = atoi(argv[3]); + based_sys = atoi(argv[4]); // 0--> plasma 1-->chameleon + async= atoi(argv[5]); // 0-->tile 1-->tile_async + char * locs_file= argv[6]; + char * obs_dir= argv[7]; + int obs_timestamp=atoi(argv[8]); + check = atoi(argv[9]); + verbose = atoi(argv[10]); + +*/ + + +// new + + struct arguments arguments; + FILE *outstream; + arguments.test = 0; /* execute in test mode */ + arguments.check = 0; /* The -c flag */ + arguments.verbose = 0; /* The -v flag */ + arguments.chameleon = 0; // 0--> plasma 1-->chameleon The -sys flag + arguments.async = 0; // 0-->tile 1-->tile_async The -async flag + arguments.kernel = "EXP_COV_MODEL"; // EXP_COV_MODEL or MATERN_MODEL + arguments.ncores = "1"; //Number of cores + arguments.N = "0"; //Matrix size (Only in the case oif sysnthetic dataset) + arguments.ts = "0"; //Tiling size + arguments.locs_file = ""; // Locations files (in the case of real dataset + arguments.obs_dir = ""; // Observations directory in the case of real dataset + arguments.timestamp = 0; // obstervations timestamp + + + + argp_parse(&argp, argc, argv, 0, 0, &arguments); + + int test = arguments.test; + int ncores = atoi(arguments.ncores); + N = atoi(arguments.N); + kernel = arguments.kernel; + int ts = atoi(arguments.ts); + based_sys = arguments.chameleon;// 0--> plasma 1-->chameleon + async = arguments.async; // 0-->tile 1-->tile_async + char *locs_file = arguments.locs_file; + char *obs_dir = arguments.obs_dir; + int obs_timestamp = arguments.timestamp; + check = arguments.check; + verbose = arguments.verbose; + + + if (test == 0 && (strcmp(locs_file, "") == 0 || strcmp(obs_dir, "") == 0 || obs_timestamp == 0 || N > 0)) { + printf("\nIn real mode: please use locs_file, obs_dir, and obs_timestamp arguments only and ignore N (Matrix Size)\n\n"); + exit(0); + } else if (test == 1 && (strcmp(locs_file, "") != 0 || strcmp(obs_dir, "") != 0 || obs_timestamp != 0 || N == 0)) { + printf("\nIn test mode: please use N (Matrix Size) and ignore locs_file, obs_dir, and obs_timestamp arguments\n\n"); + exit(0); + + } + + if (strcmp(kernel, "EXP_COV_MODEL") != 0 && strcmp(kernel, "MATERN_MODEL") != 0) { + printf("\nPlease use EXP_COV_MODEL or MATERN_MODEl for kernel input... default value is (EXP_COV_MODEL)\n\n"); + exit(0); + } + + + +//***************************************************************************************************************************** + + int locs; + + if (strcmp(locs_file, "") != 0) { + printf("locs file: %s\n", locs_file); + locs = countlines(locs_file); + N = locs; + } + + double time_opt = 0.0; + + + //matern function + double *starting_theta = (double *) malloc(3 * sizeof(double)); + starting_theta[0] = 0.03; + starting_theta[1] = 0.03; + starting_theta[2] = 0.03; + THETA = (double *) malloc(3 * sizeof(double)); + THETA[0] = THETA1; + THETA[1] = THETA2; + THETA[2] = THETA3; + + + double max_theta_hat = 0.0; + NRHS = 1; + LDC = N; + LDZ = N; + + //Memory Allocation + X = (double *) malloc(N * sizeof(double)); + Y = (double *) malloc(N * sizeof(double)); + C = (double *) malloc(LDC * N * sizeof(double)); + Z = (double *) malloc(LDZ * NRHS * sizeof(double)); + Zcpy = (double *) malloc(LDZ * NRHS * sizeof(double)); + + + + /* Check if unable to allocate memory */ + if ((!C) || (!Z) || (!Zcpy) || (!X) || (!Y)) { + printf("Out of Memory for C, Zcpy , Z, X, and Y\n "); + return -2; + } + + + GenerateXYLoc(N, locs_file); + + + nlopt_opt opt; + //Initial nlopt (Optimization) + if (strcmp(kernel, "MATERN_MODEL") == 0) + opt = nlopt_create(NLOPT_LN_BOBYQA, 3); + else + opt = nlopt_create(NLOPT_LN_BOBYQA, 1); + + double lb[3] = {0.001, 0.001, 0.001}; + double up[3] = {10, 10, 10}; + nlopt_set_lower_bounds(opt, lb); + nlopt_set_upper_bounds(opt, up); + double *opt_f; + nlopt_set_xtol_rel(opt, 1e-5); + + + if (based_sys == 0) { + /*------------------------------------------------------------- + * Initialization of PLASMA + */ + PLASMA_Init(ncores); + PLASMA_Disable(PLASMA_AUTOTUNING); + PLASMA_Set(PLASMA_TILE_SIZE, ts); + PLASMA_Set(PLASMA_SCHEDULING_MODE, PLASMA_DYNAMIC_SCHEDULING); + PLASMA_Enable(PLASMA_WARNINGS); + PLASMA_Enable(PLASMA_ERRORS); + /*-------------------------------------------------------------*/ + + + //Identifies a set of routines sharing common exception handling. + PLASMA_Sequence_Create(&sequence); + + //Create matrix descriptor -- ts -->number of rows in tile , ts -->number of columns in tile, ts*ts-->title size (number of elements), N -->number of rows in the whole matrix, N --> number pf columns in the whole matrix + PLASMA_Desc_Create(&descC, C, PlasmaRealDouble, ts, ts, ts * ts, LDC, N, 0, + 0, LDC, N); + + PLASMA_Desc_Create(&descZ, Z, PlasmaRealDouble, ts, ts, ts * ts, LDZ, NRHS, 0, 0, LDZ, NRHS); + + PLASMA_Desc_Create(&descZcpy, Zcpy, PlasmaRealDouble, ts, ts, ts * ts, LDZ, NRHS, 0, 0, LDZ, NRHS); + + + // Generate Observations Vector (Z) for testing phase + if (async == 0) { + PLASMA_ML_GenerateZVec_Tile(obs_dir, obs_timestamp); + START_TIMING(time_opt); + + //Maximum Likelihood (Optimization Phase using nlopt library) + nlopt_set_max_objective(opt, PLASMA_MLE_Tile, NULL); + nlopt_optimize(opt, starting_theta, &opt_f); + //printf("success: %d\n", success); + /* max_theta_hat=dlib::find_max_single_variable ( + PLASMA_MLE_Tile, + starting_theta, + 0.00001, //begin + 10, //end + 1e-5, //epsilon + 1000, //number of iterations + 1 + ); + */ +// double x=0.09; + // PLASMA_MLE_Tile(0,&x,NULL,NULL); + + STOP_TIMING(time_opt); + } else { + PLASMA_ML_GenerateZVec_Tile_Async(obs_dir, obs_timestamp); + + START_TIMING(time_opt); + nlopt_set_max_objective(opt, PLASMA_MLE_Tile_Async, NULL); + nlopt_optimize(opt, starting_theta, &opt_f); + /* //Maximum Likelihood (Optimization Phase using dlib library) + max_theta_hat=dlib::find_max_single_variable ( + PLASMA_MLE_Tile_Async, + starting_theta, + 0.00001, //begin + 10, //end + 1e-5, //epsilon + 1000, //number of iterations + 1 + ); + */ +// PLASMA_MLE_Tile_Async(0.9); + + STOP_TIMING(time_opt); + } + + } + +// MORSE based- system + else { + + /*------------------------------------------------------------- + * Initialization of Morse + */ + MORSE_Init(ncores, 0); //MORSE_init(NCPU,NGPU); + MORSE_Disable(PLASMA_AUTOTUNING); + MORSE_Set(PLASMA_TILE_SIZE, ts); + MORSE_Set(PLASMA_SCHEDULING_MODE, PLASMA_DYNAMIC_SCHEDULING); + MORSE_Enable(PLASMA_WARNINGS); + MORSE_Enable(PLASMA_ERRORS); + /*-------------------------------------------------------------*/ + + + //Identifies a set of routines sharing common exception handling. + MORSE_Sequence_Create(&msequence); + + //Create matrix descriptor -- ts -->number of rows in tile , ts -->number of columns in tile, ts*ts-->title size (number of elements), N -->number of rows in the whole matrix, N --> number pf columns in the whole matrix + MORSE_Desc_Create(&MORSE_descC, C, MorseRealDouble, ts, ts, ts * ts, LDC, N, 0, + 0, LDC, N, 1, 1); + + MORSE_Desc_Create(&MORSE_descZ, Z, MorseRealDouble, ts, ts, ts * ts, LDZ, NRHS, 0, 0, LDZ, NRHS, 1, 1); + + MORSE_Desc_Create(&MORSE_descZcpy, Zcpy, MorseRealDouble, ts, ts, ts * ts, LDZ, NRHS, 0, 0, LDZ, NRHS, 1, 1); + + + + // Generate Observations Vector (Z) for testing phase + if (async == 0) { + MORSE_ML_GenerateZVec_Tile(obs_dir, obs_timestamp); + START_TIMING(time_opt); + nlopt_set_max_objective(opt, MORSE_MLE_Tile, NULL); + nlopt_optimize(opt, starting_theta, &opt_f); + //Maximum Likelihood (Optimization Phase using dlib library) + /* max_theta_hat=dlib::find_max_single_variable ( + MORSE_MLE_Tile, + starting_theta, + 0.00001, //begin + 10, //end + 1e-5, //epsilon + 1000, //number of iterations + 1 + ); + */ + //MORSE_MLE_Tile(0.9); + STOP_TIMING(time_opt); + } else { + MORSE_ML_GenerateZVec_Tile_Async(obs_dir, obs_timestamp); + START_TIMING(time_opt); + nlopt_set_max_objective(opt, MORSE_MLE_Tile_Async, NULL); + nlopt_optimize(opt, starting_theta, &opt_f); + //Maximum Likelihood (Optimization Phase using dlib library) + /* max_theta_hat=dlib::find_max_single_variable ( + MORSE_MLE_Tile_Async, + starting_theta, + 0.00001, //begin + 10, //end + 1e-5, //epsilon + 1000, //number of iterations + 1 + ); + */ + // MORSE_MLE_Tile_Async(0.9); + STOP_TIMING(time_opt); + } + + + } + + printf("No. of iteration to converage=%d\n", iter_count); + printf("Total Optimization Time= %6.2f\n", time_opt); + printf("Max Theta_hat: %6.2f\n", max_theta_hat); + + //Free Memory Allocation + ML_finalize(); + nlopt_destroy(opt); + + return 0; +} + + +//Generate Observations Vector (Z) for testing Maximum Likelihood function +int PLASMA_ML_GenerateZVec_Tile(char *obs_dir, int obs_timestamp) { + + //Initialization + double flops = 0; + + + //Set C diagonal equals to 1 (simple case) + if (async == 0) + + PLASMA_dlaset_Tile(PlasmaUpperLower, 0, 1, descC); + + + if (verbose == 1) + fprintf(stderr, "Initializing Co-variance Matrix ...\n"); + + + //Generate co-variance matrix C + PLASMA_MLE_GenCovMat_Tile_Async(descC, sequence, &request[1], THETA); + + if (verbose == 1) + fprintf(stderr, "Done ...\n"); + + + + + // int IPV; + // PLASMA_dgetrf_Tile(descC,&IPV); +// double res=0; + // PLASMA_dgecon_Tile(PlasmaOneNorm,descC,PlasmaOneNorm,&res); +// printf("res: %f\n",res); +// exit(0); + + + if (strcmp(obs_dir, "") == 0) { + + if (verbose == 1) + fprintf(stderr, + "Cholesky factorization of Sigma (Generation Phase) ...\n"); + + + //Cholesky factorization + int success = PLASMA_dpotrf_Tile(PlasmaLower, descC); + + if (success != PLASMA_SUCCESS) { + printf("Factorization cannot be performed..\n" + "The matrix is not positive definite\n\n"); + exit(0); + } + + flops = flops + FLOPS_DPOTRF(N); + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + // Generate Z Vector + PLASMA_MLE_GenZVec_Tile_Async(descZ, sequence, &request[1]); + + PLASMA_dtrmm_Tile(PlasmaLeft, PlasmaLower, PlasmaNoTrans, PlasmaNonUnit, 1, descC, descZ); + } else { + + if (verbose == 1) + fprintf(stderr, + "Reading omebservations from dir ...\n"); + + FILE *fp; + char *line = NULL; + size_t len = 0; + ssize_t read; + char *pch; + int str_count = 0; + char *zeroes; + char integer_string[32]; + int i = 0; + + char *obs_dir_name = (char *) malloc(50 * sizeof(char)); + + for (i = 0; i < 103; i++) { + + strcpy(obs_dir_name, obs_dir); + + sprintf(integer_string, "%d", (i + 1)); + + if (i < 9) + zeroes = "00"; + else if (i >= 9 && i < 99) + zeroes = "0"; + else + zeroes = ""; + + strcat(obs_dir_name, "/ppt.complete.Y"); + + strcat(obs_dir_name, zeroes); + strcat(obs_dir_name, integer_string); + + + fp = fopen(obs_dir_name, "r"); + if (fp == NULL) + exit(EXIT_FAILURE); + + while ((read = getline(&line, &len, fp)) != -1) { + str_count = 0; + + pch = strtok(line, " ,"); + while (pch != NULL) { + if (str_count == obs_timestamp) + Z[i] = atof(pch); + pch = strtok(NULL, " ,"); + str_count++; + } + + + } + + } + + + if (line) + free(line); + } + + + + //Copy Z to Zcpy + PLASMA_dlacpy_Tile(PlasmaUpperLower, descZ, descZcpy); + + + if (verbose == 1) + fprintf(stderr, "Done Z Vector Generation Phase.\n"); + + + return 0; + +} + + +//Generate Observations Vector (Z) for testing Maximum Likelihood function +int PLASMA_ML_GenerateZVec_Tile_Async(char *obs_dir, int obs_timestamp) { + + //Initialization + double flops = 0; + + + //Set C diagonal equals to 1 (simple case) + if (async == 0) + + PLASMA_dlaset_Tile_Async(PlasmaUpperLower, 0, 1, descC, sequence, &request[1]); + + + if (verbose == 1) + fprintf(stderr, "Initializing Co-variance Matrix ...\n"); + + + //Generate co-variance matrix C + PLASMA_MLE_GenCovMat_Tile_Async(descC, sequence, &request[1], THETA); + + if (verbose == 1) + fprintf(stderr, "Done ...\n"); + + + if (strcmp(obs_dir, "") == 0) { + + if (verbose == 1) + fprintf(stderr, + "Cholesky factorization of Sigma (Generation Phase) ...\n"); + + + //Cholesky factorization + int success = PLASMA_dpotrf_Tile_Async(PlasmaLower, descC, sequence, &request[1]); + + if (success != PLASMA_SUCCESS) { + printf("Factorization cannot be performed..\n" + "The matrix is not positive definite\n\n"); + exit(0); + } + + flops = flops + FLOPS_DPOTRF(N); + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + // Generate Z Vector + PLASMA_MLE_GenZVec_Tile_Async(descZ, sequence, &request[1]); + + PLASMA_dtrmm_Tile_Async(PlasmaLeft, PlasmaLower, PlasmaNoTrans, PlasmaNonUnit, 1, descC, descZ, sequence, + &request[1]); + } else { + + if (verbose == 1) + fprintf(stderr, + "Reading omebservations from dir ...\n"); + + FILE *fp; + char *line = NULL; + size_t len = 0; + ssize_t read; + char *pch; + int str_count = 0; + char *zeroes; + char integer_string[32]; + int i = 0; + + char *obs_dir_name = (char *) malloc(50 * sizeof(char)); + + for (i = 0; i < 103; i++) { + + strcpy(obs_dir_name, obs_dir); + + sprintf(integer_string, "%d", (i + 1)); + + if (i < 9) + zeroes = "00"; + else if (i >= 9 && i < 99) + zeroes = "0"; + else + zeroes = ""; + + strcat(obs_dir_name, "/ppt.complete.Y"); + + strcat(obs_dir_name, zeroes); + strcat(obs_dir_name, integer_string); + + + fp = fopen(obs_dir_name, "r"); + if (fp == NULL) + exit(EXIT_FAILURE); + + while ((read = getline(&line, &len, fp)) != -1) { + str_count = 0; + + pch = strtok(line, " ,"); + while (pch != NULL) { + if (str_count == obs_timestamp) + Z[i] = atof(pch); + pch = strtok(NULL, " ,"); + str_count++; + } + + + } + + } + + + if (line) + free(line); + } + + + + //Copy Z to Zcpy + PLASMA_dlacpy_Tile_Async(PlasmaUpperLower, descZ, descZcpy, sequence, &request[1]); + + + if (verbose == 1) + fprintf(stderr, "Done Z Vector Generation Phase.\n"); + + + return 0; + + +} + + +//Generate Observations Vector (Z) for testing Maximum Likelihood function +int MORSE_ML_GenerateZVec_Tile(char *obs_dir, int obs_timestamp) { + + //Initialization + double flops = 0; + + //Set C diagonal equals to 1 (simple case) + if (async == 0) + + MORSE_dlaset_Tile(MorseUpperLower, 0, 1, MORSE_descC); + + + if (verbose == 1) + fprintf(stderr, "Initializing Co-variance Matrix ...\n"); + + + //Generate co-variance matrix C + MORSE_MLE_GenCovMat_Tile_Async(MORSE_descC, msequence, &mrequest[1], THETA); + + + if (verbose == 1) + fprintf(stderr, "Done ...\n"); + + if (strcmp(obs_dir, "") == 0) { + if (verbose == 1) + fprintf(stderr, + "Cholesky factorization of Sigma (Generation Phase) ...\n"); + + //Cholesky factorization + int success = MORSE_dpotrf_Tile(MorseLower, MORSE_descC); + + if (success != PLASMA_SUCCESS) { + printf("Factorization cannot be performed..\n" + "The matrix is not positive definite\n\n"); + exit(0); + } + + flops = flops + FLOPS_DPOTRF(N); + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + // Generate Z Vector + MORSE_MLE_GenZVec_Tile_Async(MORSE_descZ, msequence, &mrequest[1]); + + MORSE_dtrmm_Tile(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, MORSE_descC, MORSE_descZ); + } else { + if (verbose == 1) + fprintf(stderr, + "Reading omebservations from dir ...\n"); + + FILE *fp; + char *line = NULL; + size_t len = 0; + ssize_t read; + char *pch; + int str_count = 0; + char *zeroes; + char integer_string[32]; + int i = 0; + + char *obs_dir_name = (char *) malloc(50 * sizeof(char)); + + for (i = 0; i < 103; i++) { + + strcpy(obs_dir_name, obs_dir); + + sprintf(integer_string, "%d", (i + 1)); + + if (i < 9) + zeroes = "00"; + else if (i >= 9 && i < 99) + zeroes = "0"; + else + zeroes = ""; + + strcat(obs_dir_name, "/ppt.complete.Y"); + + strcat(obs_dir_name, zeroes); + strcat(obs_dir_name, integer_string); + + + fp = fopen(obs_dir_name, "r"); + if (fp == NULL) + exit(EXIT_FAILURE); + + while ((read = getline(&line, &len, fp)) != -1) { + str_count = 0; + + pch = strtok(line, " ,"); + while (pch != NULL) { + if (str_count == obs_timestamp) + Z[i] = atof(pch); + pch = strtok(NULL, " ,"); + str_count++; + } + + + } + + } + + + if (line) + free(line); + } + + //Copy Z to Zcpy + MORSE_dlacpy_Tile(MorseUpperLower, MORSE_descZ, MORSE_descZcpy); + + + if (verbose == 1) + fprintf(stderr, "Done Z Vector Generation Phase.\n"); + + + return 0; + +} + +int MORSE_ML_GenerateZVec_Tile_Async(char *obs_dir, int obs_timestamp) { + + //Initialization + double flops = 0; + + //Set C diagonal equals to 1 (simple case) + if (async == 0) + + MORSE_dlaset_Tile_Async(MorseUpperLower, 0, 1, MORSE_descC, msequence, &mrequest[1]); + + + if (verbose == 1) + fprintf(stderr, "Initializing Co-variance Matrix ...\n"); + + + //Generate co-variance matrix C + MORSE_MLE_GenCovMat_Tile_Async(MORSE_descC, msequence, &mrequest[1], THETA); + + + if (verbose == 1) + fprintf(stderr, "Done ...\n"); + + if (strcmp(obs_dir, "") == 0) { + if (verbose == 1) + fprintf(stderr, + "Cholesky factorization of Sigma (Generation Phase) ...\n"); + + //Cholesky factorization + int success = MORSE_dpotrf_Tile_Async(MorseLower, MORSE_descC, msequence, &mrequest[1]); + + if (success != PLASMA_SUCCESS) { + printf("Factorization cannot be performed..\n" + "The matrix is not positive definite\n\n"); + exit(0); + } + + flops = flops + FLOPS_DPOTRF(N); + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + // Generate Z Vector + MORSE_MLE_GenZVec_Tile_Async(MORSE_descZ, msequence, &mrequest[1]); + + MORSE_dtrmm_Tile_Async(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, MORSE_descC, MORSE_descZ, + msequence, &mrequest[1]); + } else { + if (verbose == 1) + fprintf(stderr, + "Reading observations from dir ...\n"); + + FILE *fp; + char *line = NULL; + size_t len = 0; + ssize_t read; + char *pch; + int str_count = 0; + char *zeroes; + char integer_string[32]; + int i = 0; + + char *obs_dir_name = (char *) malloc(50 * sizeof(char)); + + for (i = 0; i < 103; i++) { + + strcpy(obs_dir_name, obs_dir); + + sprintf(integer_string, "%d", (i + 1)); + + if (i < 9) + zeroes = "00"; + else if (i >= 9 && i < 99) + zeroes = "0"; + else + zeroes = ""; + + strcat(obs_dir_name, "/ppt.complete.Y"); + + strcat(obs_dir_name, zeroes); + strcat(obs_dir_name, integer_string); + + + fp = fopen(obs_dir_name, "r"); + if (fp == NULL) + exit(EXIT_FAILURE); + + while ((read = getline(&line, &len, fp)) != -1) { + str_count = 0; + + pch = strtok(line, " ,"); + while (pch != NULL) { + if (str_count == obs_timestamp) + Z[i] = atof(pch); + pch = strtok(NULL, " ,"); + str_count++; + } + + + } + + } + + + if (line) + free(line); + } + + //Copy Z to Zcpy + MORSE_dlacpy_Tile_Async(MorseUpperLower, MORSE_descZ, MORSE_descZcpy, msequence, &mrequest[1]); + + + if (verbose == 1) + fprintf(stderr, "Done Z Vector Generation Phase.\n"); + + + return 0; + + +} + + +double PLASMA_MLE_Tile(unsigned n, const double *theta, double *grad, void *my_func_data) { + + +//printf("******************8hi\n"); +//exit(0); + //Initialization + double theta_hat, det = 1.0, logdet = 0.0; + double time_facto = 0.0, time_solve = 0.0, logdet_calculate = 0.0; + double flops = 0.0; + + + PLASMA_dlaset_Tile(PlasmaUpperLower, 0, 1, descC); + + //Generate new co-variance matrix C based on new theta + PLASMA_MLE_GenCovMat_Tile_Async(descC, sequence, &request[1], theta); + + + //re-store old Z + PLASMA_dlacpy_Tile(PlasmaUpperLower, descZcpy, descZ); + + + //Calculate Cholesky Factorization (C=LL-1) + if (verbose == 1) + fprintf(stderr, "Cholesky factorization of Sigma..."); + + START_TIMING(time_facto); + int success = PLASMA_dpotrf_Tile(PlasmaLower, descC); + + STOP_TIMING(time_facto); + + if (success != PLASMA_SUCCESS) { + printf("Factorization cannot be performed..\n" + "The matrix is not positive definite\n\n"); + + exit(0); + } + + + flops = flops + FLOPS_DPOTRF(N); + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + //Calculate log(|C|) --> log(square(|L|)) + if (verbose == 1) + fprintf(stderr, "Calculating the log determinant ..."); + + START_TIMING(logdet_calculate); + + + START_TIMING(logdet_calculate); + + + PLASMA_MLE_det_Tile_Async(descC, sequence, &request[1], &det); + + + logdet = det == 0 ? 0 : log(det * det); + + + STOP_TIMING(logdet_calculate); + + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + if (verbose == 1) + printf("log-determinant=%f\n\n", logdet); + + + //Solving Linear System (L*X=Z)--->inv(L)*Z + if (verbose == 1) + fprintf(stderr, "Solving the linear system ...\n"); + + + START_TIMING(time_solve); + + //Compute triangular solve LC*X = Z + PLASMA_dtrsm_Tile(PlasmaLeft, PlasmaLower, PlasmaNoTrans, PlasmaNonUnit, 1, descC, descZ); + + STOP_TIMING(time_solve); + + flops = flops + FLOPS_DTRSM(PlasmaLeft, N, NRHS); + + if (verbose == 1) + fprintf(stderr, "Calculating the log likelihood ..."); + theta_hat = -0.5 * cblas_ddot(N, Z, 1, Z, 1) - 0.5 * logdet + - (double) (N / 2) * log(2 * PI); + + + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + // Print Iteration Summary + printf("***************************************************\n"); + //printf("------logdet: %2.6f ",logdet); +// printf("------expr1: %2.6f ",(-0.5 * cblas_ddot(N, Z, 1, Z, 1))); +// printf("------expr2: %2.6f ",((double) (N / 2) * log(2 * PI))); + printf(" ---- Theta1: %2.6f ---- Theta2: %2.6f ---- Theta3: %2.6f ----Theta_hat: %2.6f\n", theta[0], theta[1], + theta[2], theta_hat); + printf(" ---- Facto Time: %6.2f\n", time_facto); + printf(" ---- logdet Time: %6.2f\n", logdet_calculate); + printf(" ---- dtrsm Time: %6.2f\n", time_solve); + printf(" ---- Total Time: %6.2f\n", time_facto + logdet_calculate + time_solve); + printf(" ---- Gflop/s: %6.2f\n", flops / 1e9 / (time_facto + logdet_calculate + time_solve)); + printf("***************************************************\n"); + + + iter_count++; + return theta_hat; +} + +double PLASMA_MLE_Tile_Async(unsigned n, const double *theta, double *grad, void *my_func_data) { + + //Initialization + double theta_hat, det = 1.0, logdet = 0.0; + double time_facto = 0.0, time_solve = 0.0, logdet_calculate = 0.0; + double flops = 0.0; + + + PLASMA_dlaset_Tile_Async(PlasmaUpperLower, 0, 1, descC, sequence, &request[1]); + + + //Generate new co-variance matrix C based on new theta + PLASMA_MLE_GenCovMat_Tile_Async(descC, sequence, &request[1], theta); + + + //re-store old Z + PLASMA_dlacpy_Tile_Async(PlasmaUpperLower, descZcpy, descZ, sequence, &request[1]); + + + + //Calculate Cholesky Factorization (C=LL-1) + if (verbose == 1) + fprintf(stderr, "Cholesky factorization of Sigma..."); + + START_TIMING(time_facto); + int success = PLASMA_dpotrf_Tile_Async(PlasmaLower, descC, sequence, &request[1]); + + + STOP_TIMING(time_facto); + + if (success != PLASMA_SUCCESS) { + printf("Factorization cannot be performed..\n" + "The matrix is not positive definite\n\n"); + + exit(0); + } + + + flops = flops + FLOPS_DPOTRF(N); + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + //***************************************************************************************************************Stop + + + //Solving Linear System (L*X=Z)--->inv(L)*Z + if (verbose == 1) + fprintf(stderr, "Solving the linear system ...\n"); + + + START_TIMING(time_solve); + + //Compute triangular solve LC*X = Z + PLASMA_dtrsm_Tile_Async(PlasmaLeft, PlasmaLower, PlasmaNoTrans, PlasmaNonUnit, 1, descC, descZ, sequence, + &request[1]); + + STOP_TIMING(time_solve); + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + flops = flops + FLOPS_DTRSM(PlasmaLeft, N, NRHS); + + //Calculate log(|C|) --> log(square(|L|)) + if (verbose == 1) + fprintf(stderr, "Calculating the log determinant ..."); + + START_TIMING(logdet_calculate); + + + PLASMA_MLE_det_Tile_Async(descC, sequence, &request[1], &det); + + + logdet = det == 0 ? 0 : log(det * det); + + + STOP_TIMING(logdet_calculate); + + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + if (verbose == 1) + printf("log-determinant=%f\n\n", logdet); + + + if (verbose == 1) + fprintf(stderr, "Calculating the log likelihood ..."); + theta_hat = -0.5 * cblas_ddot(N, Z, 1, Z, 1) - 0.5 * logdet + - (double) (N / 2) * log(2 * PI); + + + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + // Print Iteration Summary + printf("***************************************************\n"); + //printf("------logdet: %2.6f ",logdet); + //printf("------expr1: %2.6f ",(-0.5 * cblas_ddot(N, Z, 1, Z, 1))); + //printf("------expr2: %2.6f ",((double) (N / 2) * log(2 * PI))); + printf(" ---- Theta1: %2.6f ---- Theta2: %2.6f ---- Theta3: %2.6f ----Theta_hat: %2.6f\n", theta[0], theta[1], + theta[2], theta_hat); + printf(" ---- Facto Time: %6.2f\n", time_facto); + printf(" ---- logdet Time: %6.2f\n", logdet_calculate); + printf(" ---- dtrsm Time: %6.2f\n", time_solve); + printf(" ---- Total Time: %6.2f\n", time_facto + logdet_calculate + time_solve); + printf(" ---- Gflop/s: %6.2f\n", flops / 1e9 / (time_facto + logdet_calculate + time_solve)); + printf("***************************************************\n"); + + + iter_count++; + return theta_hat; +} + + +double MORSE_MLE_Tile(unsigned n, const double *theta, double *grad, void *my_func_data) { + + //Initialization + double theta_hat, det = 1.0, logdet = 0.0; + double time_facto = 0.0, time_solve = 0.0, logdet_calculate = 0.0; + double flops = 0.0; + + + MORSE_dlaset_Tile(MorseUpperLower, 0, 1, MORSE_descC); + + //Generate new co-variance matrix C based on new theta + MORSE_MLE_GenCovMat_Tile_Async(MORSE_descC, msequence, &mrequest[1], theta); + + + //re-store old Z + MORSE_dlacpy_Tile(MorseUpperLower, MORSE_descZcpy, MORSE_descZ); + + + //Calculate Cholesky Factorization (C=LL-1) + if (verbose == 1) + fprintf(stderr, "Cholesky factorization of Sigma..."); + + START_TIMING(time_facto); + int success = MORSE_dpotrf_Tile(MorseLower, MORSE_descC); + + STOP_TIMING(time_facto); + + if (success != PLASMA_SUCCESS) { + printf("Factorization cannot be performed..\n" + "The matrix is not positive definite\n\n"); + + exit(0); + } + + + flops = flops + FLOPS_DPOTRF(N); + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + //Calculate log(|C|) --> log(square(|L|)) + if (verbose == 1) + fprintf(stderr, "Calculating the log determinant ..."); + + START_TIMING(logdet_calculate); + + + START_TIMING(logdet_calculate); + + + MORSE_MLE_det_Tile_Async(MORSE_descC, msequence, &mrequest[1], &det); + + + logdet = det == 0 ? 0 : 2 * log(det); + + + STOP_TIMING(logdet_calculate); + + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + if (verbose == 1) + printf("log-determinant=%f\n\n", logdet); + + + //Solving Linear System (L*X=Z)--->inv(L)*Z + if (verbose == 1) + fprintf(stderr, "Solving the linear system ...\n"); + + + START_TIMING(time_solve); + + //Compute triangular solve LC*X = Z + MORSE_dtrsm_Tile(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, MORSE_descC, MORSE_descZ); + + STOP_TIMING(time_solve); + + flops = flops + FLOPS_DTRSM(MorseLeft, N, NRHS); + + if (verbose == 1) + fprintf(stderr, "Calculating the log likelihood ..."); + theta_hat = -0.5 * cblas_ddot(N, Z, 1, Z, 1) - 0.5 * logdet + - (double) (N / 2) * log(2 * PI); + + + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + // Print Iteration Summary + printf("***************************************************\n"); + //printf("------logdet: %2.6f ",logdet); + //printf("------expr1: %2.6f ",(-0.5 * cblas_ddot(N, Z, 1, Z, 1))); + //printf("------expr2: %2.6f ",((double) (N / 2) * log(2 * PI))); + printf(" ---- Theta1: %2.6f ---- Theta2: %2.6f ---- Theta3: %2.6f ----Theta_hat: %2.6f\n", theta[0], theta[1], + theta[2], theta_hat); + printf(" ---- Facto Time: %6.2f\n", time_facto); + printf(" ---- logdet Time: %6.2f\n", logdet_calculate); + printf(" ---- dtrsm Time: %6.2f\n", time_solve); + printf(" ---- Total Time: %6.2f\n", time_facto + logdet_calculate + time_solve); + printf(" ---- Gflop/s: %6.2f\n", flops / 1e9 / (time_facto + logdet_calculate + time_solve)); + printf("***************************************************\n"); + + + iter_count++; + return theta_hat; +} + +double MORSE_MLE_Tile_Async(unsigned n, const double *theta, double *grad, void *my_func_data) { + + //Initialization + double theta_hat, det = 1.0, logdet = 0.0; + double time_facto = 0.0, time_solve = 0.0, logdet_calculate = 0.0; + double flops = 0.0; + + + MORSE_dlaset_Tile_Async(MorseUpperLower, 0, 1, MORSE_descC, msequence, &mrequest[1]); + + + //Generate new co-variance matrix C based on new theta + MORSE_MLE_GenCovMat_Tile_Async(MORSE_descC, msequence, &mrequest[1], theta); + + + //re-store old Z + MORSE_dlacpy_Tile_Async(MorseUpperLower, MORSE_descZcpy, MORSE_descZ, msequence, &mrequest[1]); + + + + //Calculate Cholesky Factorization (C=LL-1) + if (verbose == 1) + fprintf(stderr, "Cholesky factorization of Sigma..."); + + START_TIMING(time_facto); + int success = MORSE_dpotrf_Tile_Async(MorseLower, MORSE_descC, msequence, &mrequest[1]); + + + STOP_TIMING(time_facto); + + if (success != MORSE_SUCCESS) { + printf("Factorization cannot be performed..\n" + "The matrix is not positive definite\n\n"); + + exit(0); + } + + + flops = flops + FLOPS_DPOTRF(N); + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + //***************************************************************************************************************Stop + + + //Solving Linear System (L*X=Z)--->inv(L)*Z + if (verbose == 1) + fprintf(stderr, "Solving the linear system ...\n"); + + + START_TIMING(time_solve); + + //Compute triangular solve LC*X = Z + MORSE_dtrsm_Tile_Async(MorseLeft, MorseLower, MorseNoTrans, MorseNonUnit, 1, MORSE_descC, MORSE_descZ, msequence, + &mrequest[1]); + + STOP_TIMING(time_solve); + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + flops = flops + FLOPS_DTRSM(MorseLeft, N, NRHS); + + //Calculate log(|C|) --> log(square(|L|)) + if (verbose == 1) + fprintf(stderr, "Calculating the log determinant ..."); + + START_TIMING(logdet_calculate); + + + MORSE_MLE_det_Tile_Async(MORSE_descC, msequence, &mrequest[1], &det); + + + logdet = det == 0 ? 0 : log(det * det); + + + STOP_TIMING(logdet_calculate); + + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + if (verbose == 1) + printf("log-determinant=%f\n\n", logdet); + + + if (verbose == 1) + fprintf(stderr, "Calculating the log likelihood ..."); + theta_hat = -0.5 * cblas_ddot(N, Z, 1, Z, 1) - 0.5 * logdet + - (double) (N / 2) * log(2 * PI); + + + if (verbose == 1) + fprintf(stderr, " Done.\n"); + + + // Print Iteration Summary + printf("***************************************************\n"); + //printf("------logdet: %2.6f ",logdet); + //printf("------expr1: %2.6f ",(-0.5 * cblas_ddot(N, Z, 1, Z, 1))); + //printf("------expr2: %2.6f ",((double) (N / 2) * log(2 * PI))); + printf(" ---- Theta1: %2.6f ---- Theta2: %2.6f ---- Theta3: %2.6f ----Theta_hat: %2.6f\n", theta[0], theta[1], + theta[2], theta_hat); + printf(" ---- Facto Time: %6.2f\n", time_facto); + printf(" ---- logdet Time: %6.2f\n", logdet_calculate); + printf(" ---- dtrsm Time: %6.2f\n", time_solve); + printf(" ---- Total Time: %6.2f\n", time_facto + logdet_calculate + time_solve); + printf(" ---- Gflop/s: %6.2f\n", flops / 1e9 / (time_facto + logdet_calculate + time_solve)); + printf("***************************************************\n"); + + + iter_count++; + return theta_hat; +} + +void ML_finalize() { + + //writetofile("theta_hat.txt", iter, 1, theta_hat_plot, sizeof(theta) / sizeof(double)); + //writetofile("theta.txt", iter, 1, theta, sizeof(theta) / sizeof(double)); + free(C); + free(Z); + free(Zcpy); + if (check == 1) { + free(Ccpy); + + } +} + + +double uniform_distribution(double rangeLow, double rangeHigh) { + double myRand = (double) rand() / (double) (1.0 + RAND_MAX); + double range = rangeHigh - rangeLow; + double myRand_scaled = (myRand * range) + rangeLow; + return myRand_scaled; +} + +double CalculateDistance(double x1, double y1, double x2, double y2) { + double distance = sqrt(pow((x1 - x2), 2) + pow((y1 - y2), 2)); + return distance; +} + + +int GenerateXYLoc(int n, char *locs_file) { + + + int i; + + if (strcmp(locs_file, "") == 0) { + //Uniform random generation of distance matrix (For testing Phase) + if (verbose == 1) + fprintf(stderr, "Initializing Locations ...\n"); + + for (i = 0; i < n; i++) { + X[i] = (R - 0.5 + uniform_distribution(MIN_RAND, MAX_RAND)) + * sqrt((double) n); + Y[i] = (L - 0.5 + uniform_distribution(MIN_RAND, MAX_RAND)) + * sqrt((double) n); + } + } else { + if (verbose == 1) + fprintf(stderr, "Reading Locations from file ...\n"); + + + FILE *fp; + char *line = NULL; + size_t len = 0; + ssize_t read; + char *pch; + int str_count = 0; + + fp = fopen(locs_file, "r"); + if (fp == NULL) + exit(EXIT_FAILURE); + + //avoid header + read = getline(&line, &len, fp); + while ((read = getline(&line, &len, fp)) != -1) { + str_count = 0; + + pch = strtok(line, " ,"); + while (pch != NULL) { + if (str_count == 1) + X[i] = atof(pch); + else if (str_count == 2) + Y[i] = atof(pch); + pch = strtok(NULL, " ,"); + str_count++; + } + + // printf("X[i]=: %f, Y[i]=: %f\n", X[i],Y[i]); + i++; + + } + + fclose(fp); + if (line) + free(line); + } + + return 0; + + +} + + +int PLASMA_MLE_GenCovMat_Tile_Async(PLASMA_desc *descA, PLASMA_sequence *sequence, + PLASMA_request *request, double *theta) { + + //Dynamic scheduler functions + Quark *quark; + Quark_Task_Flags task_flags = Quark_Task_Flags_Initializer; + int m, n; + int ldam; + int tempnn, tempmm; + PLASMA_desc A = *descA; + + + //printf("%f, %f, %f, \n", theta[0],theta[1],theta[2]); + //exit(0); + + //get Quark for PLASMA + PLASMA_Get_Quark(&quark); + + //Set various task level flags. This flag data structure is then provided when the task is created/inserted. Each flag can take a value which is either an integer or a pointer. + QUARK_Task_Flag_Set(&task_flags, TASK_SEQUENCE, + (intptr_t) sequence->quark_sequence); + + //mt is the number of tile rows of the sub-matrix -- nt is the number of tile columns of the sub-matrix -- mb the number of rows in a tile + for (m = 0; m < A.mt; m++) { + tempmm = m == A.mt - 1 ? A.m - m * A.mb : A.mb; + ldam = BLKLDD(A, m); + + for (n = 0; n < A.nt; n++) { + + tempnn = n == A.nt - 1 ? A.n - n * A.nb : A.nb; + QUARK_CORE_dGenCovMat(quark, &task_flags, tempmm, tempnn, A(m, n), ldam, m * A.mb, n * A.nb, theta); + } + + } + + return PLASMA_SUCCESS; +} + + +int PLASMA_MLE_GenZVec_Tile_Async(PLASMA_desc *descA, PLASMA_sequence *sequence, + PLASMA_request *request) { + + + //Dynamic scheduler functions + Quark *quark; + Quark_Task_Flags task_flags = Quark_Task_Flags_Initializer; + int m; + int ldam; + int tempmm; + PLASMA_desc A = *descA; + + //get Quark for PLASMA + PLASMA_Get_Quark(&quark); + + //Set various task level flags. This flag data structure is then provided when the task is created/inserted. Each flag can take a value which is either an integer or a pointer. + QUARK_Task_Flag_Set(&task_flags, TASK_SEQUENCE, + (intptr_t) sequence->quark_sequence); + + + double *r = (double *) malloc(A.m * sizeof(double)); + + //Uniform Random Generator + int *iseed = (int *) malloc(4 * sizeof(int)); + iseed[0] = 371; + iseed[1] = 371; + iseed[2] = 371; + iseed[3] = 371; + + //Uniform random generation of e -- ei~N(0,1) + LAPACKE_dlarnv(3, iseed, A.m, r); + + + //mt is the number of tile rows of the sub-matrix -- nt is the number of tile columns of the sub-matrix -- mb the number of rows in a tile + for (m = 0; m < A.mt; m++) { + tempmm = m == A.mt - 1 ? A.m - m * A.mb : A.mb; + ldam = BLKLDD(A, m); + + + QUARK_CORE_dGenZVec(quark, &task_flags, tempmm, 1, A(m, 0), ldam, m * A.mb, 0, r); + } + + return PLASMA_SUCCESS; +} + + +int PLASMA_MLE_det_Tile_Async(PLASMA_desc *descA, PLASMA_sequence *sequence, + PLASMA_request *request, double *det_acc) { + + + //Dynamic scheduler functions + Quark *quark; + Quark_Task_Flags task_flags = Quark_Task_Flags_Initializer; + int m, n; + int ldam; + int tempnn, tempmm; + PLASMA_desc A = *descA; + + *det_acc = 1; + + + //get Quark for PLASMA + PLASMA_Get_Quark(&quark); + + //Set various task level flags. This flag data structure is then provided when the task is created/inserted. Each flag can take a value which is either an integer or a pointer. + QUARK_Task_Flag_Set(&task_flags, TASK_SEQUENCE, + (intptr_t) sequence->quark_sequence); + + + //mt is the number of tile rows of the sub-matrix -- nt is the number of tile columns of the sub-matrix -- mb the number of rows in a tile + for (m = 0; m < A.mt; m++) { + tempmm = m == A.mt - 1 ? A.m - m * A.mb : A.mb; + ldam = BLKLDD(A, m); + + for (n = 0; n < A.nt; n++) { + //generate the Lower and diagonal tiles if symmetric + // if(part == 1 && n > m) break; + tempnn = n == A.nt - 1 ? A.n - n * A.nb : A.nb; + QUARK_CORE_det(quark, &task_flags, tempmm, tempnn, A(m, n), ldam, m * A.mb, n * A.nb, det_acc); + + + } + + } + + + QUARK_Barrier(quark); + + return PLASMA_SUCCESS; +} + + +void QUARK_CORE_dGenCovMat(Quark *quark, Quark_Task_Flags *task_flags, int m, + int n, double *A, int lda, int m0, int n0, double *theta) { + /*DAG_CORE_GenCovMat; + Called by the master thread. Add a new task to the scheduler, providing the data pointers, sizes, and dependency information. + This function provides the main user interface for the user to write data-dependent algorithms.*/ +//printf("%f, %f, %f, \n", theta[0],theta[1],theta[2]); +//exit(0); + + + QUARK_Insert_Task(quark, CORE_dGenCovMat_quark, task_flags, sizeof(int), &m, + VALUE, sizeof(int), &n, VALUE, sizeof(double) * lda * n, A, + OUTPUT | LOCALITY, sizeof(int), &lda, VALUE, sizeof(int), &m0, + VALUE, sizeof(int), &n0, VALUE, 3 * sizeof(double), theta, INPUT, 0); + +} + +void QUARK_CORE_dGenZVec(Quark *quark, Quark_Task_Flags *task_flags, int m, + int n, double *A, int lda, int m0, int n0, double *r) { + /*DAG_CORE_GenCovMat; + Called by the master thread. Add a new task to the scheduler, providing the data pointers, sizes, and dependency information. + This function provides the main user interface for the user to write data-dependent algorithms.*/ + QUARK_Insert_Task(quark, CORE_dGenZVec_quark, task_flags, sizeof(int), &m, + VALUE, sizeof(int), &n, VALUE, sizeof(double) * lda * n, A, + OUTPUT | LOCALITY, sizeof(int), &lda, VALUE, sizeof(int), &m0, + VALUE, sizeof(int), &n0, VALUE, sizeof(double) * lda * n, r, INPUT, 0); + + +} + + +void QUARK_CORE_det(Quark *quark, Quark_Task_Flags *task_flags, int m, + int n, double *A, int lda, int m0, int n0, double *determinant) { + /*DAG_CORE_GenCovMat; + Called by the master thread. Add a new task to the scheduler, providing the data pointers, sizes, and dependency information. + This function provides the main user interface for the user to write data-dependent algorithms.*/ + QUARK_Insert_Task(quark, CORE_det_quark, task_flags, sizeof(int), &m, + VALUE, sizeof(int), &n, VALUE, sizeof(double) * lda * n, A, + INPUT, sizeof(int), &lda, VALUE, sizeof(int), &m0, + VALUE, sizeof(int), &n0, VALUE, sizeof(double), determinant, INOUT, 0); + +} + +void CORE_dGenCovMat_quark(Quark *quark) { + + int m; + int n; + double *A; + int lda; + int m0; + int n0; + double *theta; + + + quark_unpack_args_7(quark, m, n, A, lda, m0, n0, theta); + +//printf("%f, %f, %f, \n", theta[0],theta[1],theta[2]); +//exit(0); + + matcov_comp_Tile(A, m, n, m0, n0, theta); + +} + +void CORE_dGenZVec_quark(Quark *quark) { + + int m; + int n; + double *A; + int lda; + int m0; + int n0; + double *r; + + quark_unpack_args_7(quark, m, n, A, lda, m0, n0, r); + veccov_comp_Tile(A, m, n, m0, n0, r); + +} + + +void CORE_det_quark(Quark *quark) { + + int m; + int n; + double *A; + int lda; + int m0; + int n0; + double *determinant; + + quark_unpack_args_7(quark, m, n, A, lda, m0, n0, determinant); + det_comp_Tile(A, m, n, m0, n0, determinant); +} + +void matcov_comp_Tile(double *A, int m, int n, int m0, int n0, double *theta) { + + int i, j; + int x = m0; + int y = n0; + + double dist = 0.0; + double expr = 0.0; + double con = 0.0; +//printf("%f\n", tgamma(2.5)); +//exit(0); + //printf("result: %f\n",bessk(3,5));//jn(n,x) + //exit(0); + + if (strcmp(kernel, "MATERN_KERENL") == 0) { + con = pow(2, (theta[2] - 1)) * tgamma(theta[2]); + con = 1.0 / con; + con = theta[0] * con; + + for (i = 0; i < m; i++) { + y = n0; + for (j = 0; j < n; j++) { + + +// if(A[i+j*m]!=1) +// { + dist = CalculateDistance(X[x], Y[x], X[y], Y[y]); + expr = dist / theta[1]; + if (expr == 0) + expr = 1e-10; + + + A[i + j * m] = con * pow(expr, theta[2]) * bessk(theta[2], expr); // Matern Function +// } + + + + y++; + } + x++; + } + } else { + printf("start from: %d , to: %d \n", m, ((m - 1) + n * m)); + for (i = m0; i < m; i++) { + y = n0; + for (j = n0; j < n; j++) { + A[i + j * m] = + A[i + j * m] == 1 ? + 1 : + exp(-CalculateDistance(X[x], Y[x], X[y], Y[y]) / theta[0]); + + y++; + } + x++; + } + + } +} + + +void det_comp_Tile(double *A, int m, int n, int m0, int n0, double *res) { + +//*res=1; +//printf("yes\n"); + int i, j; + int x = m0; + int y = n0; + + for (i = 0; i < m; i++) { + y = n0; + for (j = 0; j < n; j++) { + if (x == y) { + *res *= A[i + j * m]; +//printf("A[i+j*m: %f \n",A[i+j*m]); + } + + y++; + } + x++; + } + +//printf("*res= %f\n", *res); +} + + +void veccov_comp_Tile(double *Z, int m, int n, int m0, int n0, double *r) { + + int i = 0; + + for (i = 0; i < m; i++) + Z[i] = r[m0 + i]; +} + +void print_matrix(char *desc, int m, int n, double *a, int lda) { + int i, j; + printf("\n %s\n", desc); + for (i = 0; i < m; i++) { + for (j = 0; j < n; j++) + printf(" %6.4f", a[i + lda * j]); + printf("\n"); + } +} + +//*******************************************************************************(1) +void CORE_dGenCovMat_starpu(void *buffers[], void *cl_arg) { + int m, n, lda, m0, n0; + double *theta; + double *A; + + starpu_codelet_unpack_args(cl_arg, &m, &n, &A, &lda, &m0, &n0, &theta); + matcov_comp_Tile(A, m, n, m0, n0, theta); +} + +static struct starpu_codelet cl_dGenCovMat = + { + .where = STARPU_CPU, + .cpu_funcs = {CORE_dGenCovMat_starpu}, + .nbuffers = 0 + }; + + +int MORSE_MLE_GenCovMat_Tile_Async(MORSE_desc_t *descA, MORSE_sequence_t *sequence, MORSE_request_t *request, + double *theta) { + + MORSE_context_t *morse; + MORSE_option_t options; + morse = morse_context_self(); + if (sequence->status != MORSE_SUCCESS) + return -2; + RUNTIME_options_init(&options, morse, sequence, request); + + int m, n, m0, n0; + int ldam; + int tempmm, tempnn; + MORSE_desc_t A = *descA; + + struct starpu_codelet *cl = &cl_dGenCovMat; + + + for (m = 0; m < A.mt; m++) { + tempmm = m == A.mt - 1 ? A.m - m * A.mb : A.mb; + ldam = mBLKLDD(descA, m); + + for (n = 0; n < A.nt; n++) { + tempnn = n == A.nt - 1 ? A.n - n * A.nb : A.nb; + + double *data = (double *) morse_getaddr_ccrb(descA, m, n); + + m0 = m * A.mb; + n0 = n * A.nb; + // printf("m0=%d, ",m0); + // printf("n0=%d, \n",n0); + + starpu_insert_task(cl, + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &tempnn, sizeof(int), + STARPU_VALUE, &data, sizeof(double *), + STARPU_VALUE, &ldam, sizeof(int), + STARPU_VALUE, &m0, sizeof(int), + STARPU_VALUE, &n0, sizeof(int), + STARPU_VALUE, &theta, sizeof(double *), + 0); + } + } + + RUNTIME_options_finalize(&options, morse); + MORSE_TASK_dataflush_all(); + return MORSE_SUCCESS; +} + +//****************************************************************************(2) +void CORE_GenZVec_starpu(void *buffers[], void *cl_arg) { + int m; + int n; + double *A; + int lda; + int m0; + int n0; + double *r; + + starpu_codelet_unpack_args(cl_arg, &m, &n, &A, &lda, &m0, &n0, &r); + veccov_comp_Tile(A, m, n, m0, n0, r); +} + +static struct starpu_codelet cl_GenZVec = + { + .where = STARPU_CPU, + .cpu_funcs = {CORE_GenZVec_starpu}, + .nbuffers = 0 + }; + + +int MORSE_MLE_GenZVec_Tile_Async(MORSE_desc_t *descA, MORSE_sequence_t *sequence, MORSE_request_t *request) { + + MORSE_context_t *morse; + MORSE_option_t options; + morse = morse_context_self(); + if (sequence->status != MORSE_SUCCESS) + return -2; + RUNTIME_options_init(&options, morse, sequence, request); + + int m, m0, n0; + int ldam; + int tempmm, tempnn; + MORSE_desc_t A = *descA; + + + double *r = (double *) malloc(A.m * sizeof(double)); + + //Uniform Random Generator + int *iseed = (int *) malloc(4 * sizeof(int)); + iseed[0] = 371; + iseed[1] = 371; + iseed[2] = 371; + iseed[3] = 371; + + //Uniform ranodm generation of e -- ei~N(0, 1) + LAPACKE_dlarnv(3, iseed, A.m, r); + + struct starpu_codelet *cl = &cl_GenZVec; + + + for (m = 0; m < A.mt; m++) { + tempmm = m == A.mt - 1 ? A.m - m * A.mb : A.mb; + ldam = mBLKLDD(descA, m); + + tempnn = 1; + + double *data = (double *) morse_getaddr_ccrb(descA, m, 0); + + m0 = m * A.mb; + n0 = 0; + + starpu_insert_task(cl, + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &tempnn, sizeof(int), + STARPU_VALUE, &data, sizeof(double *), + STARPU_VALUE, &ldam, sizeof(int), + STARPU_VALUE, &m0, sizeof(int), + STARPU_VALUE, &n0, sizeof(int), + STARPU_VALUE, &r, sizeof(double), + 0); + + } + + RUNTIME_options_finalize(&options, morse); + MORSE_TASK_dataflush_all(); + return MORSE_SUCCESS; +} + + +//*****************************************************************************(3) +void CORE_det_starpu(void *buffers[], void *cl_arg) { + int m; + int n; + double *A; + int lda; + int m0; + int n0; + double *determinant; + + starpu_codelet_unpack_args(cl_arg, &m, &n, &A, &lda, &m0, &n0, &determinant); + det_comp_Tile(A, m, n, m0, n0, determinant); + +//printf("det=%f:\n", determinant); +} + +static struct starpu_codelet cl_det = + { + .where = STARPU_CPU, + .cpu_funcs = {CORE_det_starpu}, + .nbuffers = 0 + }; + + +int +MORSE_MLE_det_Tile_Async(MORSE_desc_t *descA, MORSE_sequence_t *sequence, MORSE_request_t *request, double *det_acc) { + + MORSE_context_t *morse; + MORSE_option_t options; + morse = morse_context_self(); + if (sequence->status != MORSE_SUCCESS) + return -2; + + RUNTIME_options_init(&options, morse, sequence, request); + + int m, n, m0, n0; + int ldam; + int tempmm, tempnn; + MORSE_desc_t A = *descA; + *det_acc = 1.0; +//double det_val=*det_acc; + struct starpu_codelet *cl = &cl_det; + + for (m = 0; m < A.mt; m++) { + tempmm = m == A.mt - 1 ? A.m - m * A.mb : A.mb; + ldam = mBLKLDD(descA, m); + + for (n = 0; n < A.nt; n++) { + tempnn = n == A.nt - 1 ? A.n - n * A.nb : A.nb; + + double *data = (double *) morse_getaddr_ccrb(descA, m, n); + + m0 = m * A.mb; + n0 = n * A.nb; + + starpu_insert_task(cl, + STARPU_VALUE, &tempmm, sizeof(int), + STARPU_VALUE, &tempnn, sizeof(int), + STARPU_VALUE, &data, sizeof(double *), + STARPU_VALUE, &ldam, sizeof(int), + STARPU_VALUE, &m0, sizeof(int), + STARPU_VALUE, &n0, sizeof(int), + STARPU_VALUE, &det_acc, sizeof(double *), + 0); +//printf("det_val: %f\n",det_val); + } + } + RUNTIME_barrier(morse); + RUNTIME_options_finalize(&options, morse); + MORSE_TASK_dataflush_all(); + return MORSE_SUCCESS; +} + +int countlines(char *filename) { + // count the number of lines in the file called filename + FILE *fp = fopen(filename, "r"); + int ch = 0; + int lines = 0; + + if (fp == NULL) { + printf("cannot open locations file\n"); + return 0; + } + + + while (!feof(fp)) { + ch = fgetc(fp); + if (ch == '\n') + lines++; + } + + + fclose(fp); + + //Excluding header line + return (lines - 1); +} + + +static double bessi0(double x) +/*------------------------------------------------------------*/ +/* PURPOSE: Evaluate modified Bessel function In(x) and n=0. */ +/*------------------------------------------------------------*/ +{ + double ax, ans; + double y; + + + if ((ax = fabs(x)) < 3.75) { + y = x / 3.75, y = y * y; + ans = 1.0 + y * (3.5156229 + y * (3.0899424 + y * (1.2067492 + + y * (0.2659732 + y * (0.360768e-1 + y * 0.45813e-2))))); + } else { + y = 3.75 / ax; + ans = (exp(ax) / sqrt(ax)) * (0.39894228 + y * (0.1328592e-1 + + y * (0.225319e-2 + y * (-0.157565e-2 + y * (0.916281e-2 + + y * + (-0.2057706e-1 + + y * + (0.2635537e-1 + + y * + (-0.1647633e-1 + + y * + 0.392377e-2)))))))); + } + return ans; +} + + +static double bessi1(double x) +/*------------------------------------------------------------*/ +/* PURPOSE: Evaluate modified Bessel function In(x) and n=1. */ +/*------------------------------------------------------------*/ +{ + double ax, ans; + double y; + + + if ((ax = fabs(x)) < 3.75) { + y = x / 3.75, y = y * y; + ans = ax * (0.5 + y * (0.87890594 + y * (0.51498869 + y * (0.15084934 + + y * (0.2658733e-1 + + y * (0.301532e-2 + y * 0.32411e-3)))))); + } else { + y = 3.75 / ax; + ans = 0.2282967e-1 + y * (-0.2895312e-1 + y * (0.1787654e-1 + - y * 0.420059e-2)); + ans = 0.39894228 + y * (-0.3988024e-1 + y * (-0.362018e-2 + + y * (0.163801e-2 + y * (-0.1031555e-1 + y * ans)))); + ans *= (exp(ax) / sqrt(ax)); + } + return x < 0.0 ? -ans : ans; +} + +static double bessk0(double x) +/*------------------------------------------------------------*/ +/* PURPOSE: Evaluate modified Bessel function Kn(x) and n=0. */ +/*------------------------------------------------------------*/ +{ + double y, ans; + + if (x <= 2.0) { + y = x * x / 4.0; + ans = (-log(x / 2.0) * bessi0(x)) + (-0.57721566 + y * (0.42278420 + + y * (0.23069756 + y * (0.3488590e-1 + y * (0.262698e-2 + + y * + (0.10750e-3 + + y * + 0.74e-5)))))); + } else { + y = 2.0 / x; + ans = (exp(-x) / sqrt(x)) * (1.25331414 + y * (-0.7832358e-1 + + y * (0.2189568e-1 + y * (-0.1062446e-1 + y * (0.587872e-2 + + y * + (-0.251540e-2 + + y * + 0.53208e-3)))))); + } + return ans; +} + + +static double bessk1(double x) +/*------------------------------------------------------------*/ +/* PURPOSE: Evaluate modified Bessel function Kn(x) and n=1. */ +/*------------------------------------------------------------*/ +{ + double y, ans; + + if (x <= 2.0) { + y = x * x / 4.0; + ans = (log(x / 2.0) * bessi1(x)) + (1.0 / x) * (1.0 + y * (0.15443144 + + y * (-0.67278579 + + y * (-0.18156897 + y * (-0.1919402e-1 + + y * (-0.110404e-2 + + y * + (-0.4686e-4))))))); + } else { + y = 2.0 / x; + ans = (exp(-x) / sqrt(x)) * (1.25331414 + y * (0.23498619 + + y * (-0.3655620e-1 + y * (0.1504268e-1 + y * (-0.780353e-2 + + y * + (0.325614e-2 + + y * + (-0.68245e-3))))))); + } + return ans; +} + + +double bessk(int n, double x) +/*------------------------------------------------------------*/ +/* PURPOSE: Evaluate modified Bessel function Kn(x) and n >= 0*/ +/* Note that for x == 0 the functions bessy and bessk are not */ +/* defined and a blank is returned. */ +/*------------------------------------------------------------*/ +{ + int j; + double bk, bkm, bkp, tox; + + + if (n < 0 || x == 0.0) { + double dblank; + // setdblank_c( &dblank ); + return (dblank); + } + if (n == 0) + return (bessk0(x)); + if (n == 1) + return (bessk1(x)); + + tox = 2.0 / x; + bkm = bessk0(x); + bk = bessk1(x); + for (j = 1; j < n; j++) { + bkp = bkm + j * tox * bk; + bkm = bk; + bk = bkp; + } + return bk; +} diff --git a/r-wrappers/compute/rwrappers.c b/r-wrappers/compute/rwrappers.c index 0b1850d..f9972bb 100644 --- a/r-wrappers/compute/rwrappers.c +++ b/r-wrappers/compute/rwrappers.c @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2019 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,192 +11,207 @@ * * ExaGeoStat R-wrapper functions. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2019-07-30 + * @date 2022-11-09 * **/ #include "../include/rwrappers.h" -void gen_z_givenlocs_exact(double *x, int *xlen, double *y, - int *ylen, double *theta1, - double *theta2, double *theta3, - int *dmetric, int *n, - int *ncores, int *gpus, int *ts, - int *p_grid, int *q_grid, int *veclen, - double *globalvec) - //! direct function to generate synthetics datasets (X, Y) 2D locations Z measurement vector. - /*! -- using dense or approximate computation - * Returns Z observation vector - * @param[in] ncores: Pointer to the number of CPUs. - * @param[in] gpus: Pointer to the number of GPUs. - * @param[in] ts: Pointer to the tile size (MB) is used only in the case of HiCMA not MORSE. - * @param[in] p_grid: Pointer to the p_grid value ( >1 in the case of distributed systems, 1--> others). - * @param[in] q_grid: Pointer to the q_grid value ( >1 in the case of distributed systems, 1--> others). - * @param[in] x: Pointer to the x vector. - * @param[in] xlen: Pointer to the length of x vector. - * @param[in] y: Pointer to the y vector. - * @param[in] ylen: Pointer to the length of y vector. - * @param[in] theta1: Pointer to the variance value (theta1). - * @param[in] theta2: Pointer to the range value (theta2). - * @param[in] theta3: Pointer to the smoothness value (theta3). - * @param[in] computation: Pointer to the computation mode (0--> exact, 1-->approx). - * @param[in] dmetric: Pointer to the used metric (0-->ed, 1-->gcd). - * @param[in] n: Pointer to the problem size (number spatial locations). - * @param[in] ncores: Pointer to the number of CPUs. - * @param[in] gpus: Pointer to the number of GPUs. - * @param[in] ts: Pointer to the tile size (MB) is used only in the case of HiCMA not MORSE. - * @param[in] p_grid: Pointer to the p_grid value ( >1 in the case of distributed systems, 1--> others). - * @param[in] q_grid: Pointer to the q_grid value ( >1 in the case of distributed systems, 1--> others). - * @param[in] veclen: Pointer to the length of global vec (R memory space). - * @param[in] globalvec: Pointer to R memory space (x:y:z). - * */ +#include "MLE_lr.h" +#include "hicma/include/hicma.h" +#include "hicma/hicma_ext/control/hicma_context.h" + + +static int get_num_params(char *kernel_fun) { + int num_params = 0; + + if (strcmp(kernel_fun, "univariate_matern_stationary") == 0) + num_params = 3; + else if (strcmp(kernel_fun, "univariate_matern_non_stationary") == 0) + num_params = 9; + else if (strcmp(kernel_fun, "bivariate_matern_flexible") == 0) + num_params = 13; + else if (strcmp(kernel_fun, "bivariate_matern_parsimonious") == 0) + num_params = 6; + else if (strcmp(kernel_fun, "bivariate_matern_parsimonious2") == 0) + num_params = 6; + else if (strcmp(kernel_fun, "trivariate_matern_parsimonious") == 0) + num_params = 10; + else if (strcmp(kernel_fun, "bivariate_matern_parsimonious_profile") == 0) + num_params = 6; + else if (strcmp(kernel_fun, "univariate_spacetime_matern_stationary") == 0) + num_params = 7; + else if (strcmp(kernel_fun, "bivariate_spacetime_matern_stationary") == 0) + num_params = 10; + else { + fprintf(stderr, "Choosen kernel is not exist!\n"); + fprintf(stderr, "Called function is: %s\n", __func__); + exit(0); + } + return num_params; +} + +void gen_z_givenlocs_exact(double* x, int *xlen, double* y, + int *ylen, int *kernel, double* theta, + int *thetalen, int *dmetric, int *n, + int *ncores, int *gpus, int *ts, + int *p_grid, int *q_grid, int *veclen, + double* globalvec) +//! direct function to generate synthetics datasets (X, Y) 2D locations Z measurement vector. +/*! -- using dense or approximate computation + * Returns Z observation vector + * @param[in] x: Pointer to the x-dim vector. + * @param[in] xlen: Pointer to the length of x-dim vector. + * @param[in] y: Pointer to the y-dim vector. + * @param[in] ylen: Pointer to the length of y-dim vector. + * @param[in] kernel: Pointer to the computation kernel. + * @param[in] theta: Pointer to the theta vector. + * @param[in] thetalen: Pointer to the length of y-dim vector. + * @param[in] dmetric: Pointer to the used metric (0-->ed, 1-->gcd). + * @param[in] n: Pointer to the problem size (number spatial locations). + * @param[in] ncores: Pointer to the number of CPUs. + * @param[in] gpus: Pointer to the number of GPUs. + * @param[in] ts: Pointer to the tile size (MB) is used only in the case of HiCMA not CHAM. + * @param[in] p_grid: Pointer to the p_grid value ( >1 in the case of distributed systems, 1--> others). + * @param[in] q_grid: Pointer to the q_grid value ( >1 in the case of distributed systems, 1--> others). + * @param[in] veclen: Pointer to the length of global vec (R memory space). + * @param[in] globalvec: Pointer to R memory space (x:y:z). + * */ { //Initialization - //int i = 0; - int j = 0; - //Log is 0 in R - int log = 0; - //Verbose is 0 in R - int verbose = 0; - //Async is 0 in R - int async = 0; - //exact -> 0 (Only exact is needed) - int comp_mode = 0; - int metric_mode = 0; - double *initial_theta, *localvec; + int j = 0, log = 0, verbose = 0, async = 0, comp_mode = 0, metric_mode = 0; + double* initial_theta, *localvec; MLE_data data; location *locations; - int iseed[4]={0, 0, 0, 1}; - MORSE_sequence_t *msequence; - MORSE_request_t mrequest[2] = { MORSE_REQUEST_INITIALIZER, MORSE_REQUEST_INITIALIZER }; - - MORSE_context_t *morse; - morse = morse_context_self(); - if (morse == NULL) { + int iseed[4] = {0, 0, 0, 1}; + CHAM_desc_t *CHAM_descC = NULL; + CHAM_desc_t *CHAM_descZ = NULL; + RUNTIME_sequence_t *msequence; + RUNTIME_request_t mrequest[2] = {CHAMELEON_SUCCESS, CHAMELEON_SUCCESS}; + + CHAM_context_t *chamctxt; + chamctxt = chameleon_context_self(); + if (chamctxt == NULL) { printf("No active instance...please use exageostat_init() function to initiate a new instance!\n"); return; } - //initialize globalvec + //initialize globalvec output for (j = 0; j < *veclen; j++) - *(globalvec + j) = 0; - MORSE_desc_t *MORSE_descC = NULL; - MORSE_desc_t *MORSE_descZ = NULL; + *(globalvec + j) = 0; //Memory allocation - locations = (location *) malloc( sizeof(location*)); - initial_theta = (double *) malloc(3 * sizeof(double)); - localvec = (double *) malloc( *veclen * sizeof(double)); - - //Assign x, y vectors to local space (C memeory space) - //data.l1.x = localvec; - //data.l1.y = &localvec[*n]; + locations = (location *) malloc(sizeof(location)); + initial_theta = (double* ) malloc((*thetalen) * sizeof(double)); + localvec = (double* ) malloc((*veclen) * sizeof(double)); //set XY locs - locations->x = x; - locations->y = y; - data.l1 = *locations; - - //Assign x, y vectors to local space (C memeory space) - /*for(i = 0; i < *n; i++) - localvec[i] = data.l1.x[i]; - for(i = *n; i < 2*(*n); i++) - localvec[i] = data.l1.y[i-(*n)]; - */ + locations->x = x; + locations->y = y; //Set data struct values based on inputs - comp_mode = 0; //Usually exact - data.computation = comp_mode == 0 ? "exact" : "appro"; - data.dm = metric_mode == 0 ? "ed" : "gcd"; - data.verbose = verbose; - //data.l2 = data.l1; - data.async = async; - //data.log = log; - data.obsFPath = ""; - data.log = log; - gsl_set_error_handler_off () ; + comp_mode = 0; //Usually exact + data.l1 = *locations; + if (*kernel == 0) + data.kernel_fun = "univariate_matern_stationary"; + else if (*kernel == 1) + data.kernel_fun = "univariate_matern_nuggets_stationary"; + else if (*kernel == 2) + data.kernel_fun = "bivariate_matern_flexible"; + else if (*kernel == 3) + data.kernel_fun = "bivariate_matern_parsimonious"; + else if (*kernel == 4) + data.kernel_fun = "trivariate_matern_parsimonious"; + else if (*kernel == 5) + data.kernel_fun = "univariate_spacetime_matern_stationary"; + else if (*kernel == 6) + data.kernel_fun = "bivariate_spacetime_matern_stationary"; + else { + fprintf(stderr, "Choosen kernel is not exist!\n"); + fprintf(stderr, "Called function is: %s\n", __func__); + exit(0); + } + data.computation = comp_mode == 0 ? "exact" : "appro"; + data.dm = metric_mode == 0 ? "ed" : "gcd"; + data.verbose = verbose; + data.async = async; + data.obsFPath = ""; + data.log = log; + gsl_set_error_handler_off(); //Assign initial_ theta vector to generate synthetic dataset - initial_theta[0] = *theta1; - initial_theta[1] = *theta2; - initial_theta[2] = *theta3; + for (j = 0; j < *thetalen; j++) + initial_theta[j] = theta[j]; + //Nomral random generation of e -- ei~N(0, 1) to generate Z LAPACKE_dlarnv(3, iseed, *n, &localvec[0]); - //Create Descriptors - MORSE_Sequence_Create(&msequence); - MORSE_Desc_Create(&MORSE_descC, NULL , MorseRealDouble, *ts, *ts, *ts * *ts, *n, *n, 0, 0, *n, *n, *p_grid, *q_grid); - MORSE_Desc_Create(&MORSE_descZ, NULL, MorseRealDouble, *ts, *ts, *ts * *ts, *n, 1, 0, 0, *n , 1, *p_grid, *q_grid); - data.sequence = msequence; - data.request = mrequest; - - data.descC = MORSE_descC; - data.descZ = MORSE_descZ; + CHAMELEON_Sequence_Create(&msequence); + CHAMELEON_Desc_Create(&CHAM_descC, NULL, ChamRealDouble, *ts, *ts, *ts * *ts, *n, *n, 0, 0, *n, *n, *p_grid, + *q_grid); + CHAMELEON_Desc_Create(&CHAM_descZ, NULL, ChamRealDouble, *ts, *ts, *ts * *ts, *n, 1, 0, 0, *n, 1, *p_grid, *q_grid); + data.sequence = msequence; + data.request = mrequest; + data.descC = CHAM_descC; + data.descZ = CHAM_descZ; //Main algorithm call - MLE_zvg(&data, localvec, initial_theta, *n, *ts, log, *p_grid, *q_grid) ; + MLE_zvg(&data, localvec, initial_theta, *n, *ts, log, *p_grid, *q_grid); - MORSE_Tile_to_Lapack(data.descZ, localvec, *n); + CHAMELEON_Tile_to_Lapack(data.descZ, localvec, *n); //copy local vector to global vector in R memory space for (j = 0; j < *veclen; j++) *(globalvec + j) = *(localvec + j); //Destory descriptors - MORSE_Desc_Destroy((MORSE_desc_t **) &data.descC ); - MORSE_Desc_Destroy((MORSE_desc_t **) &data.descZ); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &data.descC); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &data.descZ); //free memory free(initial_theta); free(localvec); } -void gen_z_exact( double *theta1, double *theta2, - double *theta3, int *dmetric, int *n, - int *seed, - int *ncores, int *gpus, - int *ts, int *p_grid, int *q_grid, - int *veclen, double *globalvec) - //! direct function to generate synthetics datasets (X, Y) 2D locations Z measurement vector. - /*! -- using dense or approximate computation - * Returns Z observation vector - * @param[in] n: Pointer to the problem size (number spatial locations). - * @param[in] theta1: Pointer to the variance value (theta1). - * @param[in] theta2: Pointer to the range value (theta2). - * @param[in] theta3: Pointer to the smoothness value (theta3). - * @param[in] dmetric: Pointer to the used metric (0-->ed, 1-->gcd). - * @param[in] seed: Pointer to the random seed. - * @param[in] ncores: Pointer to the number of CPUs. - * @param[in] gpus: Pointer to the number of GPUs. - * @param[in] ts: Pointer to the tile size (MB) is used only in the case of HiCMA not MORSE. - * @param[in] p_grid: Pointer to the p_grid value ( >1 in the case of distributed systems, 1--> others). - * @param[in] q_grid: Pointer to the q_grid value ( >1 in the case of distributed systems, 1--> others). - * @param[in] veclen: Pointer to the length of global vec (R memory space). - * @param[in] globalvec: Pointer to R memory space (x:y:z). - * */ + +void gen_z_exact(int *kernel, double* theta, int *thetalen, + int *dmetric, int *n, int *seed, + int *ncores, int *gpus, int *ts, + int *p_grid, int *q_grid, int *veclen, + double* globalvec) +//! direct function to generate synthetics datasets (X, Y) 2D locations Z measurement vector. +/*! -- using dense or approximate computation + * Returns Z observation vector + * @param[in] kernel: Pointer to the used kernel + * @param[in] theta: Pointer to the theta vector. + * @param[in] thetalen: Pointer to the length of y-dim vector. + * @param[in] dmetric: Pointer to the used metric (0-->ed, 1-->gcd). + * @param[in] n: Pointer to the problem size (number spatial locations). + * @param[in] seed: Pointer to the random seed. + * @param[in] ncores: Pointer to the number of CPUs. + * @param[in] gpus: Pointer to the number of GPUs. + * @param[in] ts: Pointer to the tile size (MB) is used only in the case of HiCMA not CHAM. + * @param[in] p_grid: Pointer to the p_grid value ( >1 in the case of distributed systems, 1--> others). + * @param[in] q_grid: Pointer to the q_grid value ( >1 in the case of distributed systems, 1--> others). + * @param[in] veclen: Pointer to the length of global vec (R memory space). + * @param[in] globalvec: Pointer to R memory space (x:y:z). + * */ { + //Initialization - int i = 0; - int j = 0; - //Log is 0 in R - int log = 0; - //Verbose is 0 in R - int verbose = 0; - //Async is 0 in R - int async = 0; - //exact -> 0 (Only exact is needed) - int comp_mode = 0; - int metric_mode = 0; - double *initial_theta, *localvec; + int i = 0, j = 0, log = 0, verbose = 0, async = 0, comp_mode = 0, metric_mode = 0; + double* initial_theta, *localvec; MLE_data data; location *locations; - int iseed[4]={*seed, *seed, *seed, 1}; - MORSE_sequence_t *msequence; - MORSE_request_t mrequest[2] = { MORSE_REQUEST_INITIALIZER, MORSE_REQUEST_INITIALIZER }; - - MORSE_context_t *morse; - morse = morse_context_self(); - if (morse == NULL) { + int iseed[4] = {*seed, *seed, *seed, 1}; + CHAM_desc_t *CHAM_descC = NULL; + CHAM_desc_t *CHAM_descZ = NULL; + RUNTIME_sequence_t *msequence; + RUNTIME_request_t mrequest[2] = {CHAMELEON_SUCCESS, CHAMELEON_SUCCESS}; + + CHAM_context_t *chamctxt; + chamctxt = chameleon_context_self(); + if (chamctxt == NULL) { printf("No active instance...please use exageostat_init() function to initiate a new instance!\n"); return; } @@ -205,272 +220,474 @@ void gen_z_exact( double *theta1, double *theta2, for (j = 0; j < *veclen; j++) *(globalvec + j) = 0; - MORSE_desc_t *MORSE_descC = NULL; - MORSE_desc_t *MORSE_descZ = NULL; - //Memory allocation - initial_theta = (double *) malloc(3 * sizeof(double)); - localvec = (double *) malloc( *veclen * sizeof(double)); - - //Assign x, y vectors to local space (C memeory space) - //data.l1.x = localvec; - //data.l1.y = &localvec[*n]; + initial_theta = (double* ) malloc(*thetalen * sizeof(double)); + localvec = (double* ) malloc(*veclen * sizeof(double)); //Generate XY locs - locations = GenerateXYLoc(*n, *seed); - //printf("####seed..........: %d\n", *seed); - data.l1 = *locations; - + locations = GenerateXYLoc(*n, *seed); + data.l1 = *locations; //Assign x, y vectors to local space (C memeory space) - for(i = 0; i < *n; i++) + for (i = 0; i < *n; i++) localvec[i] = data.l1.x[i]; - for(i = *n; i < 2*(*n); i++) - localvec[i] = data.l1.y[i-(*n)]; - + for (i = *n; i < 2 * (*n); i++) + localvec[i] = data.l1.y[i - (*n)]; //Set data struct values based on inputs - comp_mode = 0; //Usually exact - data.computation = comp_mode == 0 ? "exact" : "appro"; - data.dm = metric_mode == 0 ? "ed" : "gcd"; - data.verbose = verbose; - //data.l2 = data.l1; - data.async = async; - //data.log = log; - data.obsFPath = ""; - data.log = log; - data.precision = 0; - gsl_set_error_handler_off () ; + comp_mode = 0; //Usually exact + + if (*kernel == 0) + data.kernel_fun = "univariate_matern_stationary"; + else if (*kernel == 1) + data.kernel_fun = "univariate_matern_nuggets_stationary"; + else if (*kernel == 2) + data.kernel_fun = "bivariate_matern_flexible"; + else if (*kernel == 3) + data.kernel_fun = "bivariate_matern_parsimonious"; + else if (*kernel == 4) + data.kernel_fun = "trivariate_matern_parsimonious"; + else if (*kernel == 5) + data.kernel_fun = "univariate_spacetime_matern_stationary"; + else if (*kernel == 6) + data.kernel_fun = "bivariate_spacetime_matern_stationary"; + else { + fprintf(stderr, "Choosen kernel is not exist!\n"); + fprintf(stderr, "Called function is: %s\n", __func__); + exit(0); + } + + data.l1 = *locations; + data.computation = comp_mode == 0 ? "exact" : "appro"; + data.dm = metric_mode == 0 ? "ed" : "gcd"; + data.verbose = verbose; + data.async = async; + data.obsFPath = ""; + data.log = log; + data.precision = 0; + gsl_set_error_handler_off(); //Assign initial_ theta vector to generate synthetic dataset - initial_theta[0] = *theta1; - initial_theta[1] = *theta2; - initial_theta[2] = *theta3; + for (j = 0; j < *thetalen; j++) + initial_theta[j] = theta[j]; + //Nomral random generation of e -- ei~N(0, 1) to generate Z - LAPACKE_dlarnv(3, iseed, *n, &localvec[2**n]); + LAPACKE_dlarnv(3, iseed, *n, &localvec[2 * *n]); //Create Descriptors - MORSE_Sequence_Create(&msequence); - MORSE_Desc_Create(&MORSE_descC, NULL , MorseRealDouble, *ts, *ts, *ts * *ts, *n, *n, 0, 0, *n, *n, *p_grid, *q_grid); - MORSE_Desc_Create(&MORSE_descZ, NULL, MorseRealDouble, *ts, *ts, *ts * *ts, *n, 1, 0, 0, *n , 1, *p_grid, *q_grid); - data.sequence = msequence; - data.request = mrequest; - - - data.descC = MORSE_descC; - data.descZ = MORSE_descZ; + CHAMELEON_Sequence_Create(&msequence); + CHAMELEON_Desc_Create(&CHAM_descC, NULL, ChamRealDouble, *ts, *ts, *ts * *ts, *n, *n, 0, 0, *n, *n, *p_grid, + *q_grid); + CHAMELEON_Desc_Create(&CHAM_descZ, NULL, ChamRealDouble, *ts, *ts, *ts * *ts, *n, 1, 0, 0, *n, 1, *p_grid, *q_grid); + data.sequence = msequence; + data.request = mrequest; + data.descC = CHAM_descC; + data.descZ = CHAM_descZ; //Main algorithm call - MLE_zvg(&data, &localvec[2**n], initial_theta, *n, *ts, log, *p_grid, *q_grid) ; + MLE_zvg(&data, &localvec[2 * *n], initial_theta, *n, *ts, log, *p_grid, *q_grid); - MORSE_Tile_to_Lapack(data.descZ, &localvec[2**n], *n); + CHAMELEON_Tile_to_Lapack(data.descZ, &localvec[2 * *n], *n); //copy local vector to global vector in R memory space for (j = 0; j < *veclen; j++) *(globalvec + j) = *(localvec + j); //Destory descriptors - MORSE_Desc_Destroy((MORSE_desc_t **) &data.descC ); - MORSE_Desc_Destroy((MORSE_desc_t **) &data.descZ); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &data.descC); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &data.descZ); //free memory free(initial_theta); free(localvec); } -static void mle_general(char *kernel_fun, double *x, int *xlen, double *y, - int *ylen, double *z, int *zlen, - double *clb, int *clblen, double *cub, - int *cublen, int *computation, int *diag_thick, - int *lr_acc, int *lr_maxrank, int *dmetric, - int *n, double *opt_tol, int *opt_max_iters, - int *ncores, int *gpus, int *ts, - int *p_grid, int *q_grid, - double *globalthetaout) - //! R-wrapper to estimate the makimum likelihood function. - /*! -- using dense or approximate computation - * Returns the optimized theta vector - * @param[in] kernel_fun: Pointer to the stationary/nono-stationary kernel. - * @param[in] x: Pointer to the x vector. - * @param[in] xlen: Pointer to the length of x vector. - * @param[in] y: Pointer to the y vector. - * @param[in] ylen: Pointer to the length of y vector. - * @param[in] z: Pointer to the z vector (measurements). - * @param[in] zlen: Pointer to the length of z vector (measurements). - * @param[in] clb: Pointer to the clb vector (lower bound optimization vector). - * @param[in] clblen: Pointer to the length of z vector (lower bound optimization vector). - * @param[in] cub: Pointer to the z vector (upper bound optimization vector). - * @param[in] cublen: Pointer to the length of z vector (upper bound optimization vector). - * @param[in] computation: Pointer to the computation mode (0--> exact, 1-->approx). - * @param[in] diag_thick: Pointer to the used diagonal thick in the case of DST computation.. - * @param[in] n: Pointer to the problem size (number spatial locations). - * @param[in] ncores: Pointer to the number of CPUs. - * @param[in] gpus: Pointer to the number of GPUs. - * @param[in] ts: Pointer to the tile size (MB) is used only in the case of HiCMA not MORSE. - * @param[in] p_grid: Pointer to the p_grid value ( >1 in the case of distributed systems, 1--> others). - * @param[in] q_grid: Pointer to the q_grid value ( >1 in the case of distributed systems, 1--> others). - * @param[in] opt_tol: Pointer to the tol parameter ( tolerance that is used for the purpose of stopping criteria only). - * @param[in] dmetric: Pointer to the used metric (0-->ed, 1-->gcd). - * @param[in] opt_tol: Pointer to the tol parameter ( tolerance that is used for the purpose of stopping criteria only). - * @param[in] opt_max_iters: Pointer to the maximum number of mle iterations. - * @param[in] globalthetaout: Pointer to R memory space (theta1:theta2:theta3). - * */ +static void mle_general_tlr(int *kernel, double* x, int *xlen, double* y, + int *ylen, double* z, int *zlen, + double* clb, int *clblen, double* cub, + int *cublen, int *computation, int *diag_thick, + int *lr_acc, int *lr_maxrank, int *dmetric, + int *n, double* opt_tol, int *opt_max_iters, + int *ncores, int *gpus, int *dts, int *lts, + int *p_grid, int *q_grid, + double* globalthetaout) +//! R-wrapper to estimate the makimum likelihood function. +/*! -- using dense or approximate computation + * Returns the optimized theta vector + * @param[in] kernel_fun: Pointer to the stationary/nono-stationary kernel. + * @param[in] x: Pointer to the x vector. + * @param[in] xlen: Pointer to the length of x vector. + * @param[in] y: Pointer to the y vector. + * @param[in] ylen: Pointer to the length of y vector. + * @param[in] z: Pointer to the z vector (measurements). + * @param[in] zlen: Pointer to the length of z vector (measurements). + * @param[in] clb: Pointer to the clb vector (lower bound optimization vector). + * @param[in] clblen: Pointer to the length of z vector (lower bound optimization vector). + * @param[in] cub: Pointer to the z vector (upper bound optimization vector). + * @param[in] cublen: Pointer to the length of z vector (upper bound optimization vector). + * @param[in] computation: Pointer to the computation mode (0--> exact, 1-->approx). + * @param[in] diag_thick: Pointer to the used diagonal thick in the case of DST computation.. + * @param[in] n: Pointer to the problem size (number spatial locations). + * @param[in] ncores: Pointer to the number of CPUs. + * @param[in] gpus: Pointer to the number of GPUs. + * @param[in] ts: Pointer to the tile size (MB) is used only in the case of HiCMA not CHAM. + * @param[in] p_grid: Pointer to the p_grid value ( >1 in the case of distributed systems, 1--> others). + * @param[in] q_grid: Pointer to the q_grid value ( >1 in the case of distributed systems, 1--> others). + * @param[in] opt_tol: Pointer to the tol parameter ( tolerance that is used for the purpose of stopping criteria only). + * @param[in] dmetric: Pointer to the used metric (0-->ed, 1-->gcd). + * @param[in] opt_tol: Pointer to the tol parameter ( tolerance that is used for the purpose of stopping criteria only). + * @param[in] opt_max_iters: Pointer to the maximum number of mle iterations. + * @param[in] globalthetaout: Pointer to R memory space (theta1:theta2:theta3). + * */ { //initialization int i = 0, j = 0; //double time_opt = 0.0, max_loglik = 0.0; //Log is 0 in R - int log = 0; + int log = 0; //Verbose is 0 in R - int verbose = 0; + int verbose = 0; //Async is 0 in R - int async = 0; - int comp_mode = *computation; - int metric_mode = *dmetric; + int async = 0; + int comp_mode = *computation; + int metric_mode = *dmetric; double opt_f; nlopt_opt opt; MLE_data data; - double *starting_theta; + double* starting_theta; - MORSE_context_t *morse; - morse = morse_context_self(); - if (morse == NULL) { + HICMA_context_t *hicmatxt; + hicmatxt = hicma_context_self(); + if(hicmatxt == NULL){ printf("No active instance...please use exageostat_init() function to initiate a new instance!\n"); return; } - init_data_values(&data); + CHAM_context_t *chamctxt; + chamctxt = chameleon_context_self(); + if (chamctxt == NULL) { + printf("No active instance...please use exageostat_init() function to initiate a new instance!\n"); + return; + } + printf("Done\n"); - int num_params; - if(strcmp(data.kernel_fun, "univariate_matern_stationary") == 0) + //Initialize the data struct + init_data_values(&data); + int num_params = 3; + if (*kernel == 0) { + data.kernel_fun = "univariate_matern_stationary"; num_params = 3; - else if(strcmp(data.kernel_fun, "univariate_matern_non_stationary") == 0) - num_params = 9; - else if(strcmp(data.kernel_fun, "bivariate_matern_flexible") == 0) + } else if (*kernel == 1) { + data.kernel_fun = "univariate_matern_nuggets_stationary"; + num_params = 4; + } else if (*kernel == 2) { + data.kernel_fun = "bivariate_matern_flexible"; num_params = 13; - else if(strcmp(data.kernel_fun, "bivariate_matern_parsimonious") == 0) - num_params = 6; - else if(strcmp(data.kernel_fun, "bivariate_matern_parsimonious2") == 0) - num_params = 6; - else if(strcmp(data.kernel_fun, "bivariate_matern_parsimonious_profile") == 0) + } else if (*kernel == 3) { + data.kernel_fun = "bivariate_matern_parsimonious"; num_params = 6; - else if(strcmp(data.kernel_fun, "univariate_spacetime_matern_stationary") == 0) + } else if (*kernel == 4) { + data.kernel_fun = "trivariate_matern_parsimonious"; + num_params = 10; + } else if (*kernel == 5) { + data.kernel_fun = "univariate_spacetime_matern_stationary"; num_params = 7; - else - { - fprintf(stderr,"Choosen kernel is not exist!\n"); - fprintf(stderr, "Called function is: %s\n",__func__); + } else if (*kernel == 6) { + data.kernel_fun = "bivariate_spacetime_matern_stationary"; + num_params = 10; + } else { + fprintf(stderr, "Choosen kernel is not exist!\n"); + fprintf(stderr, "Called function is: %s\n", __func__); exit(0); } - //num_params = strcmp(data->kernel_fun, "stationary_kernel") == 0? 3 : 9; //Memory allocation - starting_theta = (double *) malloc(num_params * sizeof(double)); + starting_theta = (double* ) malloc(num_params * sizeof(double)); //initialize globalthetaout. for (j = 0; j < num_params; j++) *(globalthetaout + j) = -1; //Set data struct values based on inputs - if(comp_mode == 0) - data.computation = "exact"; - else if(comp_mode == 1) - { + if (comp_mode == 0) { + data.computation = "exact"; + data.diag_thick = 0; + } else if (comp_mode == 1) { #if defined( EXAGEOSTAT_USE_HICMA ) - data.computation = "lr_approx"; - data.hicma_acc = *lr_acc; - data.hicma_maxrank = *lr_maxrank; + data.computation = "lr_approx"; + data.hicma_acc = *lr_acc; + data.hicma_maxrank = *lr_maxrank; #endif + } else if (comp_mode == 2) { + data.computation = "diag_approx"; + data.diag_thick = *diag_thick; + } else if (comp_mode == 3) { + data.computation = "exact"; + data.diag_thick = *diag_thick; } - else if(comp_mode == 2) - { - data.computation = "diag_approx"; - data.diag_thick = *diag_thick; - } - data.dm = metric_mode == 0? "ed" : "gcd"; - //if (strcmp (data.dm, "ed") == 0) - // data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT; - //else + data.dm = metric_mode == 0 ? "ed" : "gcd"; + #if defined( EXAGEOSTAT_USE_HICMA ) - data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT_POINT; + data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT; #endif - data.verbose = verbose; - data.async = async; - data.l1.x = x; - data.l1.y = y; - //data.l2 = data.l1; - data.iter_count = 0; - data.log = log; - data.kernel_fun = kernel_fun; - data.precision = 0; //should be modified to be an input. + data.verbose = verbose; + data.async = async; + data.l1.x = x; + data.l1.y = y; + //data.l2 = data.l1; + data.iter_count = 0; + data.log = log; + data.precision = 0; //should be modified to be an input. //copy clb array to start estimation with - for(i=0;i exact, 1-->approx). + * @param[in] diag_thick: Pointer to the used diagonal thick in the case of DST computation.. + * @param[in] n: Pointer to the problem size (number spatial locations). + * @param[in] ncores: Pointer to the number of CPUs. + * @param[in] gpus: Pointer to the number of GPUs. + * @param[in] ts: Pointer to the tile size (MB) is used only in the case of HiCMA not CHAM. + * @param[in] p_grid: Pointer to the p_grid value ( >1 in the case of distributed systems, 1--> others). + * @param[in] q_grid: Pointer to the q_grid value ( >1 in the case of distributed systems, 1--> others). + * @param[in] opt_tol: Pointer to the tol parameter ( tolerance that is used for the purpose of stopping criteria only). + * @param[in] dmetric: Pointer to the used metric (0-->ed, 1-->gcd). + * @param[in] opt_tol: Pointer to the tol parameter ( tolerance that is used for the purpose of stopping criteria only). + * @param[in] opt_max_iters: Pointer to the maximum number of mle iterations. + * @param[in] globalthetaout: Pointer to R memory space (theta1:theta2:theta3). + * */ +{ + //initialization + int i = 0, j = 0; + //double time_opt = 0.0, max_loglik = 0.0; + //Log is 0 in R + int log = 0; + //Verbose is 0 in R + int verbose = 0; + //Async is 0 in R + int async = 0; + int comp_mode = *computation; + int metric_mode = *dmetric; + double opt_f; + nlopt_opt opt; + MLE_data data; + double* starting_theta; + + CHAM_context_t *chamctxt; + chamctxt = chameleon_context_self(); + if (chamctxt == NULL) { + printf("No active instance...please use exageostat_init() function to initiate a new instance!\n"); + return; + } + + //Initialize the data struct + init_data_values(&data); + int num_params = 3; + if (*kernel == 0) { + data.kernel_fun = "univariate_matern_stationary"; + num_params = 3; + } else if (*kernel == 1) { + data.kernel_fun = "univariate_matern_nuggets_stationary"; + num_params = 4; + } else if (*kernel == 2) { + data.kernel_fun = "bivariate_matern_flexible"; + num_params = 13; + } else if (*kernel == 3) { + data.kernel_fun = "bivariate_matern_parsimonious"; + num_params = 6; + } else if (*kernel == 4) { + data.kernel_fun = "trivariate_matern_parsimonious"; + num_params = 10; + } else if (*kernel == 5) { + data.kernel_fun = "univariate_spacetime_matern_stationary"; + num_params = 7; + } else if (*kernel == 6) { + data.kernel_fun = "bivariate_spacetime_matern_stationary"; + num_params = 10; + } else { + fprintf(stderr, "Choosen kernel is not exist!\n"); + fprintf(stderr, "Called function is: %s\n", __func__); + exit(0); + } + //Memory allocation + starting_theta = (double* ) malloc(num_params * sizeof(double)); + + //initialize globalthetaout. + for (j = 0; j < num_params; j++) + *(globalthetaout + j) = -1; + + //Set data struct values based on inputs + if (comp_mode == 0) { + data.computation = "exact"; + data.diag_thick = 0; + } else if (comp_mode == 1) { +#if defined( EXAGEOSTAT_USE_HICMA ) + data.computation = "lr_approx"; + data.hicma_acc = *lr_acc; + data.hicma_maxrank = *lr_maxrank; +#endif + } else if (comp_mode == 2) { + data.computation = "diag_approx"; + data.diag_thick = *diag_thick; + } else if (comp_mode == 3) { + data.computation = "exact"; + data.diag_thick = *diag_thick; + } + + + data.dm = metric_mode == 0 ? "ed" : "gcd"; + +#if defined( EXAGEOSTAT_USE_HICMA ) + data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT_POINT; +#endif + + data.verbose = verbose; + data.async = async; + data.l1.x = x; + data.l1.y = y; + //data.l2 = data.l1; + data.iter_count = 0; + data.log = log; + data.precision = 0; //should be modified to be an input. + + //copy clb array to start estimation with + for (i = 0; i < num_params; i++) { + starting_theta[i] = clb[i]; + } + //Optimizer initialization + opt = nlopt_create(NLOPT_LN_BOBYQA, num_params); //NLOPT_LN_BOBYQA - NLOPT_GN_ORIG_DIRECT + init_optimizer(&opt, clb, cub, *opt_tol); + nlopt_set_maxeval(opt, *opt_max_iters); - if(strcmp (data.computation, "exact") == 0 || strcmp (data.computation, "diag_approx") == 0) - { - MORSE_Desc_Destroy( (MORSE_desc_t**) &data.descC ); - MORSE_Desc_Destroy( (MORSE_desc_t**) &data.descZ ); - MORSE_Desc_Destroy( (MORSE_desc_t**) &data.descZcpy ); - MORSE_Desc_Destroy( (MORSE_desc_t**) &data.descproduct ); - MORSE_Desc_Destroy( (MORSE_desc_t**) &data.descdet ); + //Create descriptors + if (strcmp(data.computation, "exact") == 0) + if (data.diag_thick == 0) + EXAGEOSTAT_dmle_Call(&data, *ncores, *gpus, *ts, *p_grid, *q_grid, *n, 0, 0); + else { + EXAGEOSTAT_sdmle_Call(&data, *ncores, *gpus, *ts, *p_grid, *q_grid, *n, 0, 0); + EXAGEOSTAT_MLE_sdregister_Tile(&data); + } + else if (strcmp(data.computation, "diag_approx") == 0) { + EXAGEOSTAT_dmle_diag_Call(&data, *ncores, *gpus, *ts, *p_grid, *q_grid, *n, 0, 0); } #if defined( EXAGEOSTAT_USE_HICMA ) - else if(strcmp (data.computation, "tlr_approx") == 0) - { - MORSE_Desc_Destroy( (MORSE_desc_t**) &data.hicma_descCD ); - MORSE_Desc_Destroy( (MORSE_desc_t**) &data.hicma_descCUV ); - MORSE_Desc_Destroy( (MORSE_desc_t**) &data.hicma_descCrk ); - MORSE_Desc_Destroy( (MORSE_desc_t**) &data.hicma_descZ ); - MORSE_Desc_Destroy( (MORSE_desc_t**) &data.hicma_descZcpy ); - MORSE_Desc_Destroy( (MORSE_desc_t**) &data.hicma_descproduct ); - MORSE_Desc_Destroy( (MORSE_desc_t**) &data.hicma_descdet ); + else if (strcmp(data.computation, "lr_approx") == 0) { + EXAGEOSTAT_TLR_dmle_Call(&data, *ncores, *gpus, *ts, *p_grid, *q_grid, *n, 0, 0); + CHAM_desc_t *CHAM_descZ = NULL; + CHAMELEON_Desc_Create(&CHAM_descZ, NULL, ChamRealDouble, *ts, *ts, *ts * *ts, *n, 1, 0, 0, *n, 1, *p_grid, + *q_grid); + data.descZ = CHAM_descZ; + } +#endif + + printf("%s- %s\n", data.computation, __func__); + //Copy z to descriptor + CHAMELEON_Lapack_to_Tile(z, *n, data.descZ); + //main algorithm call + START_TIMING(data.total_exec_time); + nlopt_set_max_objective(opt, MLE_alg, (void *) &data); + nlopt_optimize(opt, starting_theta, &opt_f); + STOP_TIMING(data.total_exec_time); + + //Destory descriptors & free memory + nlopt_destroy(opt); + if (strcmp(data.computation, "exact") == 0 || strcmp(data.computation, "diag_approx") == 0) { + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &data.descC); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &data.descZ); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &data.descZcpy); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &data.descproduct); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &data.descdet); + } +#if defined( EXAGEOSTAT_USE_HICMA ) + else if (strcmp(data.computation, "tlr_approx") == 0) { + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &data.hicma_descCD); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &data.hicma_descCUV); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &data.hicma_descCrk); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &data.hicma_descZ); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &data.hicma_descZcpy); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &data.hicma_descproduct); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &data.hicma_descdet); } #endif @@ -478,201 +695,519 @@ static void mle_general(char *kernel_fun, double *x, int *xlen, double *y, for (j = 0; j < num_params; j++) *(globalthetaout + j) = *(starting_theta + j); - *(globalthetaout + num_params) = data.total_exec_time/(double)data.iter_count; - *(globalthetaout + num_params+1) = data.total_exec_time; - *(globalthetaout + num_params+2) = (double)data.iter_count; + *(globalthetaout + num_params) = data.total_exec_time / (double) data.iter_count; + *(globalthetaout + num_params + 1) = data.total_exec_time; + *(globalthetaout + num_params + 2) = (double) data.iter_count; } -void mle_exact(double *x, int *xlen, double *y, - int *ylen, double *z, int *zlen, - double *clb, int *clblen, double *cub, - int *cublen, int *dmetric, int *n, double *opt_tol, - int *opt_max_iters, int *ncores, int *gpus, - int *ts, int *p_grid, int *q_grid, - double *globalthetaout) - //! R-wrapper to estimate the makimum likelihood function. - /*! -- using dense or approximate computation - * Returns the optimized theta vector - * @param[in] x: Pointer to the x vector. - * @param[in] xlen: Pointer to the length of x vector. - * @param[in] y: Pointer to the y vector. - * @param[in] ylen: Pointer to the length of y vector. - * @param[in] z: Pointer to the z vector (measurements). - * @param[in] zlen: Pointer to the length of z vector (measurements). - * @param[in] clb: Pointer to the clb vector (lower bound optimization vector). - * @param[in] clblen: Pointer to the length of z vector (lower bound optimization vector). - * @param[in] cub: Pointer to the z vector (upper bound optimization vector) - * @param[in] cublen: Pointer to the length of z vector (upper bound optimization vector). - * @param[in] computation: Pointer to the computation mode (0--> exact, 1-->approx). - * @param[in] dmetric: Pointer to the used metric (0-->ed, 1-->gcd). - * @param[in] n: Pointer to the problem size (number spatial locations). - * @param[in] opt_tol: Pointer to the tol parameter ( tolerance that is used for the purpose of stopping criteria only). - * @param[in] opt_max_iters: Pointer to the maximum number of mle iterations. - * @param[in] ncores: Pointer to the number of CPUs. - * @param[in] gpus: Pointer to the number of GPUs. - * @param[in] ts: Pointer to the tile size (MB) is used only in the case of HiCMA not MORSE. - * @param[in] p_grid: Pointer to the p_grid value ( >1 in the case of distributed systems, 1--> others). - * @param[in] q_grid: Pointer to the q_grid value ( >1 in the case of distributed systems, 1--> others). - * @param[in] globalthetaout: Pointer to R memory space (theta1:theta2:theta3) - * */ +void mle_exact(double* x, int *xlen, double* y, + int *ylen, double* z, int *zlen, + double* clb, int *clblen, double* cub, + int *cublen, int *kernel, int *dmetric, + int *n, double* opt_tol, int *opt_max_iters, + int *ncores, int *gpus, int *ts, + int *p_grid, int *q_grid, double* globalthetaout) +//! R-wrapper to estimate the makimum likelihood function. +/*! -- using dense or approximate computation + * Returns the optimized theta vector + * @param[in] x: Pointer to the x vector. + * @param[in] xlen: Pointer to the length of x vector. + * @param[in] y: Pointer to the y vector. + * @param[in] ylen: Pointer to the length of y vector. + * @param[in] z: Pointer to the z vector (measurements). + * @param[in] zlen: Pointer to the length of z vector (measurements). + * @param[in] clb: Pointer to the clb vector (lower bound optimization vector). + * @param[in] clblen: Pointer to the length of z vector (lower bound optimization vector). + * @param[in] cub: Pointer to the z vector (upper bound optimization vector) + * @param[in] cublen: Pointer to the length of z vector (upper bound optimization vector). + * @param[in] computation: Pointer to the computation mode (0--> exact, 1-->approx). + * @param[in] kernel: Pointer to the computation kernel. + * @param[in] kernellen: Pointer to the length of computation kernel. + * @param[in] dmetric: Pointer to the used metric (0-->ed, 1-->gcd). + * @param[in] n: Pointer to the problem size (number spatial locations). + * @param[in] opt_tol: Pointer to the tol parameter ( tolerance that is used for the purpose of stopping criteria only). + * @param[in] opt_max_iters: Pointer to the maximum number of mle iterations. + * @param[in] ncores: Pointer to the number of CPUs. + * @param[in] gpus: Pointer to the number of GPUs. + * @param[in] ts: Pointer to the tile size (MB) is used only in the case of HiCMA not CHAM. + * @param[in] p_grid: Pointer to the p_grid value ( >1 in the case of distributed systems, 1--> others). + * @param[in] q_grid: Pointer to the q_grid value ( >1 in the case of distributed systems, 1--> others). + * @param[in] globalthetaout: Pointer to R memory space (theta1:theta2:theta3) + * */ { - int comp_mode = 0; - - mle_general( "univariate_matern_stationary", x, xlen, y, ylen, - z, zlen, clb, clblen, - cub, cublen, &comp_mode, - 0, 0, 0, - dmetric, n, opt_tol, opt_max_iters, - ncores, gpus, ts, p_grid, q_grid, globalthetaout); + int comp_mode = 0; //exact + + mle_general(kernel, x, xlen, y, ylen, + z, zlen, clb, clblen, + cub, cublen, &comp_mode, + 0, 0, 0, + dmetric, n, opt_tol, opt_max_iters, + ncores, gpus, ts, p_grid, q_grid, globalthetaout); } -void mle_exact_non_stat(double *x, int *xlen, double *y, - int *ylen, double *z, int *zlen, - double *clb, int *clblen, double *cub, - int *cublen, int *dmetric, int *n, double *opt_tol, - int *opt_max_iters, int *ncores, int *gpus, - int *ts, int *p_grid, int *q_grid, - double *globalthetaout) - //! R-wrapper to estimate the makimum likelihood function. - /*! -- using dense or approximate computation - * Returns the optimized theta vector - * @param[in] x: Pointer to the x vector. - * @param[in] xlen: Pointer to the length of x vector. - * @param[in] y: Pointer to the y vector. - * @param[in] ylen: Pointer to the length of y vector. - * @param[in] z: Pointer to the z vector (measurements). - * @param[in] zlen: Pointer to the length of z vector (measurements). - * @param[in] clb: Pointer to the clb vector (lower bound optimization vector). - * @param[in] clblen: Pointer to the length of z vector (lower bound optimization vector). - * @param[in] cub: Pointer to the z vector (upper bound optimization vector) - * @param[in] cublen: Pointer to the length of z vector (upper bound optimization vector). - * @param[in] computation: Pointer to the computation mode (0--> exact, 1-->approx). - * @param[in] dmetric: Pointer to the used metric (0-->ed, 1-->gcd). - * @param[in] n: Pointer to the problem size (number spatial locations). - * @param[in] opt_tol: Pointer to the tol parameter ( tolerance that is used for the purpose of stopping criteria only). - * @param[in] opt_max_iters: Pointer to the maximum number of mle iterations. - * @param[in] ncores: Pointer to the number of CPUs. - * @param[in] gpus: Pointer to the number of GPUs. - * @param[in] ts: Pointer to the tile size (MB) is used only in the case of HiCMA not MORSE. - * @param[in] p_grid: Pointer to the p_grid value ( >1 in the case of distributed systems, 1--> others). - * @param[in] q_grid: Pointer to the q_grid value ( >1 in the case of distributed systems, 1--> others). - * @param[in] globalthetaout: Pointer to R memory space (theta1:theta2:theta3) - * */ +void mle_exact_non_stat(double* x, int *xlen, double* y, + int *ylen, double* z, int *zlen, + int *kernel, double* clb, int *clblen, + double* cub, int *cublen, int *dmetric, + int *n, double* opt_tol, int *opt_max_iters, + int *ncores, int *gpus, int *ts, + int *p_grid, int *q_grid, double* globalthetaout) +//! R-wrapper to estimate the makimum likelihood function. +/*! -- using dense or approximate computation + * Returns the optimized theta vector + * @param[in] x: Pointer to the x vector. + * @param[in] xlen: Pointer to the length of x vector. + * @param[in] y: Pointer to the y vector. + * @param[in] ylen: Pointer to the length of y vector. + * @param[in] z: Pointer to the z vector (measurements). + * @param[in] kernel: Pointer to the stationary/nono-stationary kernel. + * @param[in] zlen: Pointer to the length of z vector (measurements). + * @param[in] clb: Pointer to the clb vector (lower bound optimization vector). + * @param[in] clblen: Pointer to the length of z vector (lower bound optimization vector). + * @param[in] cub: Pointer to the z vector (upper bound optimization vector) + * @param[in] cublen: Pointer to the length of z vector (upper bound optimization vector). + * @param[in] computation: Pointer to the computation mode (0--> exact, 1-->approx). + * @param[in] kernel: Pointer to the computation kernel. + * @param[in] kernellen: Pointer to the length of computation kernel. + * @param[in] dmetric: Pointer to the used metric (0-->ed, 1-->gcd). + * @param[in] n: Pointer to the problem size (number spatial locations). + * @param[in] opt_tol: Pointer to the tol parameter ( tolerance that is used for the purpose of stopping criteria only). + * @param[in] opt_max_iters: Pointer to the maximum number of mle iterations. + * @param[in] ncores: Pointer to the number of CPUs. + * @param[in] gpus: Pointer to the number of GPUs. + * @param[in] ts: Pointer to the tile size (MB) is used only in the case of HiCMA not CHAM. + * @param[in] p_grid: Pointer to the p_grid value ( >1 in the case of distributed systems, 1--> others). + * @param[in] q_grid: Pointer to the q_grid value ( >1 in the case of distributed systems, 1--> others). + * @param[in] globalthetaout: Pointer to R memory space (theta1:theta2:theta3) + * */ { int comp_mode = 0; - - mle_general( "univariate_matern_non_stationary", x, xlen, y, ylen, - z, zlen, clb, clblen, - cub, cublen, &comp_mode, - 0, 0, 0, - dmetric, n, opt_tol, opt_max_iters, - ncores, gpus, ts, p_grid, q_grid, globalthetaout); + mle_general(kernel, x, xlen, y, ylen, + z, zlen, clb, clblen, + cub, cublen, &comp_mode, + 0, 0, 0, + dmetric, n, opt_tol, opt_max_iters, + ncores, gpus, ts, p_grid, q_grid, globalthetaout); } -void mle_tlr( double *x, int *xlen, double *y, - int *ylen, double *z, int *zlen, - double *clb, int *clblen, double *cub, - int *cublen, int *tlr_acc, int *tlr_maxrank, - int *dmetric, int *n, double *opt_tol, - int *opt_max_iters, int *ncores, int *gpus, - int *ts, int *p_grid, int *q_grid, - double *globalthetaout) - //! R-wrapper to estimate the makimum likelihood function. - /*! -- using dense or approximate computation - * Returns the optimized theta vector - * @param[in] x: Pointer to the x vector. - * @param[in] xlen: Pointer to the length of x vector. - * @param[in] y: Pointer to the y vector. - * @param[in] ylen: Pointer to the length of y vector. - * @param[in] z: Pointer to the z vector (measurements). - * @param[in] zlen: Pointer to the length of z vector (measurements). - * @param[in] clb: Pointer to the clb vector (lower bound optimization vector). - * @param[in] clblen: Pointer to the length of z vector (lower bound optimization vector). - * @param[in] cub: Pointer to the z vector (upper bound optimization vector) - * @param[in] cub: Pointer to the z vector (upper bound optimization vector). - * @param[in] cublen: Pointer to the length of z vector (upper bound optimization vector). - * @param[in] computation: Pointer to the computation mode (0--> exact, 1-->approx). - * @param[in] dmetric: Pointer to the used metric (0-->ed, 1-->gcd). - * @param[in] n: Pointer to the problem size (number spatial locations). - * @param[in] opt_tol: Pointer to the tol parameter ( tolerance that is used for the purpose of stopping criteria only). - * @param[in] opt_max_iters: Pointer to the maximum number of mle iterations. - * @param[in] ncores: Pointer to the number of CPUs. - * @param[in] gpus: Pointer to the number of GPUs. - * @param[in] ts: Pointer to the tile size (MB) is used only in the case of HiCMA not MORSE. - * @param[in] p_grid: Pointer to the p_grid value ( >1 in the case of distributed systems, 1--> others). - * @param[in] q_grid: Pointer to the q_grid value ( >1 in the case of distributed systems, 1--> others). - * @param[in] globalthetaout: Pointer to R memory space (theta1:theta2:theta3). - * */ +void mle_tlr(double* x, int *xlen, double* y, + int *ylen, double* z, int *zlen, + int *kernel, double* clb, int *clblen, + double* cub, int *cublen, int *tlr_acc, + int *tlr_maxrank, int *dmetric, int *n, + double* opt_tol, int *opt_max_iters, int *ncores, + int *gpus, int *dts, int *lts, int *p_grid, + int *q_grid, double* globalthetaout) +//! R-wrapper to estimate the makimum likelihood function. +/*! -- using dense or approximate computation + * Returns the optimized theta vector + * @param[in] x: Pointer to the x vector. + * @param[in] xlen: Pointer to the length of x vector. + * @param[in] y: Pointer to the y vector. + * @param[in] ylen: Pointer to the length of y vector. + * @param[in] z: Pointer to the z vector (measurements). + * @param[in] zlen: Pointer to the length of z vector (measurements). + * @param[in] clb: Pointer to the clb vector (lower bound optimization vector). + * @param[in] clblen: Pointer to the length of z vector (lower bound optimization vector). + * @param[in] cub: Pointer to the z vector (upper bound optimization vector) + * @param[in] cub: Pointer to the z vector (upper bound optimization vector). + * @param[in] cublen: Pointer to the length of z vector (upper bound optimization vector). + * @param[in] computation: Pointer to the computation mode (0--> exact, 1-->approx). + * @param[in] kernel: Pointer to the computation kernel. + * @param[in] kernellen: Pointer to the length of computation kernel. + * @param[in] dmetric: Pointer to the used metric (0-->ed, 1-->gcd). + * @param[in] n: Pointer to the problem size (number spatial locations). + * @param[in] opt_tol: Pointer to the tol parameter ( tolerance that is used for the purpose of stopping criteria only). + * @param[in] opt_max_iters: Pointer to the maximum number of mle iterations. + * @param[in] ncores: Pointer to the number of CPUs. + * @param[in] gpus: Pointer to the number of GPUs. + * @param[in] ts: Pointer to the tile size (MB) is used only in the case of HiCMA not CHAM. + * @param[in] p_grid: Pointer to the p_grid value ( >1 in the case of distributed systems, 1--> others). + * @param[in] q_grid: Pointer to the q_grid value ( >1 in the case of distributed systems, 1--> others). + * @param[in] globalthetaout: Pointer to R memory space (theta1:theta2:theta3). + * */ { int comp_mode = 1; - mle_general( "univariate_matern_stationary", x, xlen, y, ylen, z, zlen, - clb, clblen, cub, cublen, - &comp_mode, 0, tlr_acc, tlr_maxrank, - dmetric, n, opt_tol, opt_max_iters, - ncores, gpus, ts, p_grid, q_grid, globalthetaout); + + mle_general_tlr(kernel, x, xlen, y, ylen, z, zlen, + clb, clblen, cub, cublen, + &comp_mode, 0, tlr_acc, tlr_maxrank, + dmetric, n, opt_tol, opt_max_iters, + ncores, gpus, dts, lts, p_grid, q_grid, globalthetaout); } -void mle_dst( double *x, int *xlen, double *y, - int *ylen, double *z, int *zlen, - double *clb, int *clblen, double *cub, - int *cublen, int *dst_thick, int *dmetric, - int *n, double *opt_tol, int *opt_max_iters, - int *ncores, int *gpus, - int *ts, int *p_grid, int *q_grid, - double *globalthetaout) - //! R-wrapper to estimate the makimum likelihood function. - /*! -- using dense or approximate computation - * Returns the optimized theta vector - * @param[in] x: Pointer to the x vector. - * @param[in] xlen: Pointer to the length of x vector. - * @param[in] y: Pointer to the y vector. - * @param[in] ylen: Pointer to the length of y vector. - * @param[in] z: Pointer to the z vector (measurements). - * @param[in] zlen: Pointer to the length of z vector (measurements). - * @param[in] clb: Pointer to the clb vector (lower bound optimization vector). - * @param[in] clblen: Pointer to the length of z vector (lower bound optimization vector). - * @param[in] cub: Pointer to the z vector (upper bound optimization vector). - * @param[in] cublen: Pointer to the length of z vector (upper bound optimization vector). - * @param[in] computation: Pointer to the computation mode (0--> exact, 1-->approx). - * @param[in] dmetric: Pointer to the used metric (0-->ed, 1-->gcd). - * @param[in] n: Pointer to the problem size (number spatial locations). - * @param[in] ncores: Pointer to the number of CPUs. - * @param[in] gpus: Pointer to the number of GPUs. - * @param[in] ts: Pointer to the tile size (MB) is used only in the case of HiCMA not MORSE. - * @param[in] p_grid: Pointer to the p_grid value ( >1 in the case of distributed systems, 1--> others). - * @param[in] q_grid: Pointer to the q_grid value ( >1 in the case of distributed systems, 1--> others). - * @param[in] globalthetaout: Pointer to R memory space (theta1:theta2:theta3). - * */ +void mle_dst(double* x, int *xlen, double* y, + int *ylen, double* z, int *zlen, + int *kernel, double* clb, int *clblen, + double* cub, int *cublen, int *dst_thick, + int *dmetric, int *n, double* opt_tol, + int *opt_max_iters, int *ncores, int *gpus, + int *ts, int *p_grid, int *q_grid, + double* globalthetaout) +//! R-wrapper to estimate the makimum likelihood function. +/*! -- using dense or approximate computation + * Returns the optimized theta vector + * @param[in] x: Pointer to the x vector. + * @param[in] xlen: Pointer to the length of x vector. + * @param[in] y: Pointer to the y vector. + * @param[in] ylen: Pointer to the length of y vector. + * @param[in] z: Pointer to the z vector (measurements). + * @param[in] zlen: Pointer to the length of z vector (measurements). + * @param[in] clb: Pointer to the clb vector (lower bound optimization vector). + * @param[in] clblen: Pointer to the length of z vector (lower bound optimization vector). + * @param[in] cub: Pointer to the z vector (upper bound optimization vector). + * @param[in] cublen: Pointer to the length of z vector (upper bound optimization vector). + * @param[in] computation: Pointer to the computation mode (0--> exact, 1-->approx). + * @param[in] kernel: Pointer to the computation kernel. + * @param[in] kernellen: Pointer to the length of computation kernel. + * @param[in] dmetric: Pointer to the used metric (0-->ed, 1-->gcd). + * @param[in] n: Pointer to the problem size (number spatial locations). + * @param[in] ncores: Pointer to the number of CPUs. + * @param[in] gpus: Pointer to the number of GPUs. + * @param[in] ts: Pointer to the tile size (MB) is used only in the case of HiCMA not CHAM. + * @param[in] p_grid: Pointer to the p_grid value ( >1 in the case of distributed systems, 1--> others). + * @param[in] q_grid: Pointer to the q_grid value ( >1 in the case of distributed systems, 1--> others). + * @param[in] globalthetaout: Pointer to R memory space (theta1:theta2:theta3). + * */ { int comp_mode = 2; - mle_general( "univariate_matern_stationary", x, xlen, y, ylen, - z, zlen, clb, clblen, - cub, cublen, &comp_mode, - dst_thick, 0, 0, - dmetric, n, opt_tol, opt_max_iters, - ncores, gpus, ts, p_grid, q_grid, globalthetaout); + mle_general(kernel, x, xlen, y, ylen, + z, zlen, clb, clblen, + cub, cublen, &comp_mode, + dst_thick, 0, 0, + dmetric, n, opt_tol, opt_max_iters, + ncores, gpus, ts, p_grid, q_grid, globalthetaout); } +void mle_mp(double* x, int *xlen, double* y, + int *ylen, double* z, int *zlen, + int *kernel, double* clb, int *clblen, + double* cub, int *cublen, int *mp_band, + int *dmetric, int *n, double* opt_tol, + int *opt_max_iters, int *ncores, int *gpus, + int *ts, int *p_grid, int *q_grid, + double* globalthetaout) +//! R-wrapper to estimate the makimum likelihood function. +/*! -- using dense or approximate computation + * Returns the optimized theta vector + * @param[in] x: Pointer to the x vector. + * @param[in] xlen: Pointer to the length of x vector. + * @param[in] y: Pointer to the y vector. + * @param[in] ylen: Pointer to the length of y vector. + * @param[in] z: Pointer to the z vector (measurements). + * @param[in] zlen: Pointer to the length of z vector (measurements). + * @param[in] clb: Pointer to the clb vector (lower bound optimization vector). + * @param[in] clblen: Pointer to the length of z vector (lower bound optimization vector). + * @param[in] cub: Pointer to the z vector (upper bound optimization vector). + * @param[in] cublen: Pointer to the length of z vector (upper bound optimization vector). + * @param[in] computation: Pointer to the computation mode (0--> exact, 1-->approx). + * @param[in] kernel: Pointer to the computation kernel. + * @param[in] kernellen: Pointer to the length of computation kernel. + * @param[in] dmetric: Pointer to the used metric (0-->ed, 1-->gcd). + * @param[in] n: Pointer to the problem size (number spatial locations). + * @param[in] ncores: Pointer to the number of CPUs. + * @param[in] gpus: Pointer to the number of GPUs. + * @param[in] ts: Pointer to the tile size (MB) is used only in the case of HiCMA not CHAM. + * @param[in] p_grid: Pointer to the p_grid value ( >1 in the case of distributed systems, 1--> others). + * @param[in] q_grid: Pointer to the q_grid value ( >1 in the case of distributed systems, 1--> others). + * @param[in] globalthetaout: Pointer to R memory space (theta1:theta2:theta3). + * */ +{ + int comp_mode = 3; + + mle_general(kernel, x, xlen, y, ylen, + z, zlen, clb, clblen, + cub, cublen, &comp_mode, + mp_band, 0, 0, + dmetric, n, opt_tol, opt_max_iters, + ncores, gpus, ts, p_grid, q_grid, globalthetaout); +} +void exact_predict(double* xobs, int *xobs_len, double* yobs, + int *yobs_len, double* zobs, int *zobs_len, + double* xmiss, int *xmiss_len, double* ymiss, + int *ymiss_len, int *nZobs, int *nZmiss, + int *kernel, double* est_theta, int *thetalen, + int *computation, int *dmetric, int *ncores, + int *gpus, int *ts, int *p_grid, + int *q_grid, double* globalzpredict) +//! R-wrapper to predict missing values on certain missing locations. +/*! -- using dense or approximate computation + * Returns the optimized theta vector + * @param[in] xobs: Pointer to the xobs vector. + * @param[in] xobs_len: Pointer to the length of xobs vector. + * @param[in] yobs: Pointer to the yobs vector. + * @param[in] yobs_len: Pointer to the length of yobs vector. + * @param[in] z: Pointer to the zobs vector (measurements). + * @param[in] nZobs: Pointer to the length of zobs vector (measurements). + * @param[in] xmiss: Pointer to the xmiss vector. + * @param[in] xmiss_len: Pointer to the length of xmiss vector. + * @param[in] ymiss: Pointer to the ymiss vector. + * @param[in] ymiss_len: Pointer to the length of ymiss vector. + * @param[in] z: Pointer to the zmiss vector (measurements). + * @param[in] nZmiss: Pointer to the length of zmiss vector (measurements). + * @param[in] theta: Pointer to the theta vector. + * @param[in] thetalen: Pointer to the length of y-dim vector. + * @param[in] computation: Pointer to the computation mode (0--> exact, 1-->approx). + * @param[in] n: Pointer to the problem size (number spatial locations). + * @param[in] ncores: Pointer to the number of CPUs. + * @param[in] gpus: Pointer to the number of GPUs. + * @param[in] ts: Pointer to the tile size (MB) is used only in the case of HiCMA not CHAM. + * @param[in] p_grid: Pointer to the p_grid value ( >1 in the case of distributed systems, 1--> others). + * @param[in] q_grid: Pointer to the q_grid value ( >1 in the case of distributed systems, 1--> others). + * @param[in] dmetric: Pointer to the used metric (0-->ed, 1-->gcd). + * @param[in] globalthetaout: Pointer to R memory space (theta1:theta2:theta3). + * */ +{ + //initialization + int i = 0, j = 0, log = 0, verbose = 0, async = 0, num_params = 0; + double opt_f; + nlopt_opt opt; + MLE_data data; + double* starting_theta, *theta; + int p = 1; //number of variables. + double* zmiss; + char *kernel_fun; + CHAM_context_t *chamctxt; + chamctxt = chameleon_context_self(); + if (chamctxt == NULL) { + printf("No active instance...please use exageostat_init() function to initiate a new instance!\n"); + return; + } + RUNTIME_sequence_t *msequence; + RUNTIME_request_t mrequest[2] = {CHAMELEON_SUCCESS, CHAMELEON_SUCCESS}; + //Initialize the data struct + init_data_values(&data); + + int comp_mode = *computation; + int metric_mode = *dmetric; + + theta = (double* ) malloc(num_params * sizeof(double)); + + //Assign initial_ theta vector to generate synthetic dataset + for (j = 0; j < *thetalen; j++) + theta[j] = est_theta[j]; + + num_params = get_num_params(data.kernel_fun); + + CHAMELEON_Sequence_Create(&msequence); + data.sequence = msequence; + data.request = mrequest; + + //initialize globalthetaout. + for (j = 0; j < (*nZmiss); j++) + *(globalzpredict + j) = -1000; + + //Set data struct values based on inputs + if (comp_mode == 0) { + data.computation = "exact"; + data.diag_thick = 0; + } else + printf("In R mode: only exact prediction is allowed!\n"); + + data.dm = metric_mode == 0 ? "ed" : "gcd"; + +#if defined( EXAGEOSTAT_USE_HICMA ) + data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT_POINT; +#endif -void rexageostat_init(int *ncores, int *gpus, int *ts) - //! R-wrapper to initiate exageostat. - /*! -- using dense or approximate computation - * @param[in] ncores: Pointer to the number of CPUs. - * @param[in] gpus: Pointer to the number of GPUs. - * @param[in] ts: Pointer to the tile size (MB) is used only in the case of HiCMA not MORSE. - * */ + data.verbose = verbose; + data.async = async; + data.lobs.x = xobs; + data.lobs.y = yobs; + data.lmiss.x = xmiss; + data.lmiss.y = ymiss; + data.log = log; + + if (*kernel == 0) + data.kernel_fun = "univariate_matern_stationary"; + else if (*kernel == 1) + data.kernel_fun = "univariate_matern_nuggets_stationary"; + else if (*kernel == 2) + data.kernel_fun = "bivariate_matern_flexible"; + else if (*kernel == 3) + data.kernel_fun = "bivariate_matern_parsimonious"; + else if (*kernel == 4) + data.kernel_fun = "trivariate_matern_parsimonious"; + else if (*kernel == 5) + data.kernel_fun = "univariate_spacetime_matern_stationary"; + else if (*kernel == 6) + data.kernel_fun = "bivariate_spacetime_matern_stationary"; + else { + fprintf(stderr, "Choosen kernel is not exist!\n"); + fprintf(stderr, "Called function is: %s\n", __func__); + exit(0); + } + data.precision = 0; //should be modified to be an input. + zmiss = (double* ) calloc(p * (*nZmiss), sizeof(double)); + + if (strcmp(data.computation, "exact") == 0) + prediction_init(&data, (*nZmiss), (*nZobs), (*ts), (*p_grid), (*q_grid), 0); + + CHAM_desc_t *CHAM_descZobs = (CHAM_desc_t *) (data.descZobs); + CHAM_desc_t *CHAM_descZmiss = (CHAM_desc_t *) (data.descZmiss); + CHAMELEON_Lapack_to_Tile(zobs, (*nZobs), CHAM_descZobs); + + if (strcmp(data.computation, "exact") == 0) + EXAGEOSTAT_dmle_Predict_Tile(&data, theta, p * (*nZmiss), + p * (*nZobs), zobs, NULL, zmiss, (*nZobs)); + + CHAMELEON_Tile_to_Lapack(CHAM_descZmiss, zmiss, (*nZmiss)); + + //copy local vector to global vector in R memory space + for (j = 0; j < (*nZmiss); j++) + *(globalzpredict + j) = zmiss[j]; +} + +void exact_mloe_mmom(double* xobs, int *xobs_len, double* yobs, + int *yobs_len, double* zobs, int *zobs_len, + double* xmiss, int *xmiss_len, double* ymiss, + int *ymiss_len, int *nZobs, int *nZmiss, + int *kernel, double* est_theta, double* true_theta, + int *thetalen, int *dmetric, + int *ncores, int *gpus, int *ts, + int *p_grid, int *q_grid, double* global_mloe_mmom) { + + //initialization + int i = 0, j = 0, log = 0, verbose = 0, async = 0, num_params = 0; + double opt_f; + nlopt_opt opt; + MLE_data data; + double* starting_theta; + int p = 1; //number of variables. + double* zmiss; + char *kernel_fun; + CHAM_context_t *CHAM; + CHAM = chameleon_context_self(); + if (CHAM == NULL) { + printf("No active instance...please use exageostat_init() function to initiate a new instance!\n"); + return; + } + RUNTIME_sequence_t *msequence; + RUNTIME_request_t mrequest[2] = {CHAMELEON_SUCCESS, CHAMELEON_SUCCESS}; + + //Initialize the data struct + init_data_values(&data); + + int comp_mode = 0; //exact + int metric_mode = *dmetric; + double* theta = (double* ) malloc(num_params * sizeof(double)); + + + CHAMELEON_Sequence_Create(&msequence); + data.sequence = msequence; + data.request = mrequest; + + //initialize globalthetaout. + for (j = 0; j < 2; j++) + *(global_mloe_mmom + j) = -1000; + + //Set data struct values based on inputs + if (comp_mode == 0) { + data.computation = "exact"; + data.diag_thick = 0; + } else + printf("In R mode: only exact prediction is allowed!\n"); + + data.dm = metric_mode == 0 ? "ed" : "gcd"; + +#if defined( EXAGEOSTAT_USE_HICMA ) + data.hicma_data_type = HICMA_STARSH_PROB_GEOSTAT_POINT; +#endif + + data.verbose = verbose; + data.async = async; + data.lobs.x = xobs; + data.lobs.y = yobs; + data.lmiss.x = xmiss; + data.lmiss.y = ymiss; + data.log = log; + + if (*kernel == 0) + data.kernel_fun = "univariate_matern_stationary"; + else if (*kernel == 1) + data.kernel_fun = "univariate_matern_nuggets_stationary"; + else if (*kernel == 2) + data.kernel_fun = "bivariate_matern_flexible"; + else if (*kernel == 3) + data.kernel_fun = "bivariate_matern_parsimonious"; + else if (*kernel == 4) + data.kernel_fun = "trivariate_matern_parsimonious"; + else if (*kernel == 5) + data.kernel_fun = "univariate_spacetime_matern_stationary"; + else if (*kernel == 6) + data.kernel_fun = "bivariate_spacetime_matern_stationary"; + else { + fprintf(stderr, "Choosen kernel is not exist!\n"); + fprintf(stderr, "Called function is: %s\n", __func__); + exit(0); + } + data.precision = 0; //should be modified to be an input. + zmiss = (double* ) calloc(p * (*nZmiss), sizeof(double)); + + + mloe_mmom_init(&data, (*nZmiss), (*nZobs), (*ts), (*p_grid), (*q_grid)); + + EXAGEOSTAT_dmle_mloe_mmom_Tile(&data, true_theta, est_theta, + p * (*nZmiss), p * (*nZobs), (*nZobs + *nZmiss)); + + //copy local vector to global vector in R memory space + *(global_mloe_mmom) = data.mloe; + *(global_mloe_mmom + 1) = data.mmom; +} + + +void rexageostat_init(int *ncores, int *gpus, int *dts, int *lts) +//! R-wrapper to initiate exageostat. +/*! -- using dense or approximate computation + * @param[in] ncores: Pointer to the number of CPUs. + * @param[in] gpus: Pointer to the number of GPUs. + * @param[in] ts: Pointer to the tile size (MB) is used only in the case of HiCMA not CHAM. + * */ { - exageostat_init(ncores, gpus, ts, 0); ///this call shoudl be modified to include both dts and lts. + exageostat_init(ncores, gpus, dts, lts); ///this call shoudl be modified to include both dts and lts. } + void rexageostat_finalize() - //! R-wrapper to finalize exageostat. +//! R-wrapper to finalize exageostat. { exageostat_finalize(); } + + +void fisher_general(double* x, double* y, int *n, + double* est_theta, int *thetalen, + int *ts, int *dmetric, int *p_grid, int *q_grid, + double* globalthetaout) { + + MLE_data data; + int j = 0; + double* theta; + RUNTIME_sequence_t *msequence; + int metric_mode = *dmetric; + RUNTIME_request_t mrequest[2] = {CHAMELEON_SUCCESS, CHAMELEON_SUCCESS}; + CHAMELEON_Sequence_Create(&msequence); + + //Initialize the data struct + init_data_values(&data); + + data.l1.x = x; + data.l1.y = y; + data.sequence = msequence; + data.request = mrequest; + data.dm = metric_mode == 0 ? "ed" : "gcd"; + + theta = (double* ) malloc(*thetalen * sizeof(double)); + + for (j = 0; j < *thetalen; j++) + theta[j] = est_theta[j]; + + data.ooc = 0; + +} \ No newline at end of file diff --git a/r-wrappers/include/rwrappers.h b/r-wrappers/include/rwrappers.h index b379922..4e9b5b6 100644 --- a/r-wrappers/include/rwrappers.h +++ b/r-wrappers/include/rwrappers.h @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2019 King Abdullah University of Science and Technology + * Copyright (c) 2017-2023 King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,82 +11,98 @@ * * ExaGeoStat R-wrapper functions header. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2019-07-30 + * @date 2022-11-09 * **/ #ifndef _RWRAPPERS_H_ #define _RWRAPPERS_H_ + #include "../../src/include/MLE.h" -/** **************************************************************************** - * Structure for reading real datasets through STARS-H - **/ -/* - typedef struct { - double x; ///< Locations x-axis. - double y; ///< Locations y-axis. - double z; ///< Measurements. - } double; - typedef struct { - double theta; ///< Locations x-axis. - double loglik; ///< Locations y-axis. - int iters; ///< Measurements. - double time_in_secs; - } double; - */ -void gen_z_givenlocs_exact(double *x, int *xlen, double *y, - int *ylen, double *theta1, - double *theta2, double *theta3, - int *dmetric, int *n, - int *ncores, int *gpus, int *ts, - int *p_grid, int *q_grid, int *veclen, - double *globalvec); -void gen_z_exact(double *theta1, double *theta2, - double *theta3, int *dmetric, int *n, int *seed, - int *ncores, int *gpus, - int *ts, int *p_grid, int *q_grid, - int *veclen, double *globalvec); +void gen_z_givenlocs_exact(double*x, int *xlen, double*y, + int *ylen, int *kernel, double* theta, + int *thetalen, int *dmetric, int *n, + int *ncores, int *gpus, int *ts, + int *p_grid, int *q_grid, int *veclen, + double* globalvec); + +void gen_z_exact(int *kernel, double* theta, int *thetalen, + int *dmetric, int *n, int *seed, + int *ncores, int *gpus, int *ts, + int *p_grid, int *q_grid, int *veclen, + double* globalvec); + +void mle_exact(double* x, int *xlen, double* y, + int *ylen, double* z, int *zlen, + double* clb, int *clblen, double* cub, + int *cublen, int *kernel, int *dmetric, + int *n, double* opt_tol, int *opt_max_iters, + int *ncores, int *gpus, int *ts, + int *p_grid, int *q_grid, double* globalthetaout); + +void mle_exact_non_stat(double* x, int *xlen, double* y, + int *ylen, double* z, int *zlen, + int *kernel, double* clb, int *clblen, + double* cub, int *cublen, int *dmetric, + int *n, double* opt_tol, int *opt_max_iters, + int *ncores, int *gpus, int *ts, + int *p_grid, int *q_grid, double* globalthetaout); + +void mle_tlr(double* x, int *xlen, double* y, + int *ylen, double* z, int *zlen, + int *kernel, double* clb, int *clblen, + double* cub, int *cublen, int *tlr_acc, + int *tlr_maxrank, int *dmetric, int *n, + double* opt_tol, int *opt_max_iters, int *ncores, + int *gpus, int *dts, int *lts, int *p_grid, + int *q_grid, double* globalthetaout); +void mle_dst(double* x, int *xlen, double* y, + int *ylen, double* z, int *zlen, + int *kernel, double* clb, int *clblen, + double* cub, int *cublen, int *dst_thick, + int *dmetric, int *n, double* opt_tol, + int *opt_max_iters, int *ncores, int *gpus, + int *ts, int *p_grid, int *q_grid, + double* globalthetaout); -void mle_exact_non_stat(double *x, int *xlen, double *y, - int *ylen, double *z, int *zlen, - double *clb, int *clblen, double *cub, - int *cublen, int *dmetric, int *n, double *opt_tol, - int *opt_max_iters, int *ncores, int *gpus, - int *ts, int *p_grid, int *q_grid, - double *globalthetaout); +void mle_mp(double* x, int *xlen, double* y, + int *ylen, double* z, int *zlen, + int *kernel, double* clb, int *clblen, + double* cub, int *cublen, int *mp_band, + int *dmetric, int *n, double* opt_tol, + int *opt_max_iters, int *ncores, int *gpus, + int *ts, int *p_grid, int *q_grid, + double* globalthetaout); +void exact_predict(double* xobs, int *xobs_len, double* yobs, + int *yobs_len, double* zobs, int *zobs_len, + double* xmiss, int *xmiss_len, double* ymiss, + int *ymiss_len, int *nZobs, int *nZmiss, + int *kernel, double* est_theta, int *thetalen, + int *computation, int *dmetric, int *ncores, + int *gpus, int *ts, int *p_grid, + int *q_grid, double* globalzpredict); -void mle_exact(double *x, int *xlen, double *y, - int *ylen, double *z, int *zlen, - double *clb, int *clblen, double *cub, - int *cublen, int *dmetric, int *n, double *opt_tol, - int *opt_max_iters, int *ncores, int *gpus, - int *ts, int *p_grid, int *q_grid, - double *globalthetaout); +void exact_mloe_mmom(double* xobs, int *xobs_len, double* yobs, + int *yobs_len, double* zobs, int *zobs_len, + double* xmiss, int *xmiss_len, double* ymiss, + int *ymiss_len, int *nZobs, int *nZmiss, + int *kernel, double* est_theta, double* true_theta, + int *thetalen, int *dmetric, int *ncores, + int *gpus, int *ts, int *p_grid, + int *q_grid, double* global_mloe_mmom); -void mle_tlr( double *x, int *xlen, double *y, - int *ylen, double *z, int *zlen, - double *clb, int *clblen, double *cub, - int *cublen, int *tlr_acc, int *tlr_maxrank, - int *dmetric, int *n, double *opt_tol, - int *opt_max_iters, int *ncores, int *gpus, - int *ts, int *p_grid, int *q_grid, - double *globalthetaout); +void fisher_general(double* x, double* y, int *n, + double* theta, int *thetalen, + int *ts, int *dmetric, int *p_grid, int *q_grid, + double* globalthetaout); -void mle_dst( double *x, int *xlen, double *y, - int *ylen, double *z, int *zlen, - double *clb, int *clblen, double *cub, - int *cublen, int *dst_thick, int *dmetric, - int *n, double *opt_tol, int *opt_max_iters, - int *ncores, int *gpus, - int *ts, int *p_grid, int *q_grid, - double *globalthetaout); +void rexageostat_init(int *ncores, int *gpus, int *dts, int *lts); -void rexageostat_init(int *ncores, int *gpus, int *ts); -void rexageostat_finalize(); +void rexageostat_finalize(); -#endif +#endif \ No newline at end of file diff --git a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-exact-perf-1024.job b/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-exact-perf-1024.job deleted file mode 100755 index 573e7bf..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-exact-perf-1024.job +++ /dev/null @@ -1,33 +0,0 @@ -#!/bin/bash -#SBATCH --job-name=exact_%j -#SBATCH --output=./output_scala/exact_1024_%A.out -#SBATCH -A k1339 -#SBATCH --nodes=1024 -#SBATCH --ntasks=1024 -#SBATCH --partition=workq -#SBATCH --ntasks-per-node=1 -#SBATCH --cpus-per-task=32 -#SBATCH --time=01:30:00 - -export STARPU_SCHED=eager - -export STARPU_WATCHDOG_TIMEOUT=1000000000 -export STARPU_WATCHDOG_CRASH=1 - -#z=$1 -#n=40000 - -x=150000 -y=90000 -export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - - -n=$1 -dts=$2 - - -echo "STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=exact --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=32 --q=32 --opt_iters=1" - - srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=exact --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=32 --q=32 --opt_iters=1 - diff --git a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-exact-perf-128.job b/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-exact-perf-128.job deleted file mode 100755 index 231747f..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-exact-perf-128.job +++ /dev/null @@ -1,30 +0,0 @@ -#!/bin/bash -#SBATCH --job-name=exact_%j -#SBATCH --output=./output_scala/exact_128_%A.out -#SBATCH -A k1339 -#SBATCH --nodes=128 -#SBATCH --ntasks=128 -#SBATCH --partition=workq -#SBATCH --ntasks-per-node=1 -#SBATCH --cpus-per-task=32 -#SBATCH --time=02:30:00 - -export STARPU_SCHED=eager - -export STARPU_WATCHDOG_TIMEOUT=1000000000 -export STARPU_WATCHDOG_CRASH=1 - - -x=20000 -y=9000 -export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - -n=$1 -dts=$2 - - -echo "srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=exact --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=16 --q=8 --opt_iters=1" - - srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=exact --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=16 --q=8 --opt_iters=1 - diff --git a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-exact-perf-16.job b/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-exact-perf-16.job deleted file mode 100755 index 28047ff..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-exact-perf-16.job +++ /dev/null @@ -1,37 +0,0 @@ -#!/bin/bash -#SBATCH --job-name=exact_%j -#SBATCH --output=./output_scala/exact_16_%A.out -#SBATCH -A k1339 -#SBATCH --nodes=16 -#SBATCH --ntasks=16 -#SBATCH --partition=workq -#SBATCH --ntasks-per-node=1 -#SBATCH --cpus-per-task=32 -#SBATCH --time=02:30:00 - -export STARPU_SCHED=eager - -export STARPU_WATCHDOG_TIMEOUT=1000000000 -export STARPU_WATCHDOG_CRASH=1 - -#z=$1 -#n=40000 - -x=20000 -y=9000 -export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - -#x=500 -#y=400 -#export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -#export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - -n=$1 -dts=$2 - - -echo "srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=exact --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=4 --q=4 --opt_iter=1" - - srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=exact --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=4 --q=4 --opt_iter=1 - diff --git a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-exact-perf-2048.job b/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-exact-perf-2048.job deleted file mode 100755 index 2265134..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-exact-perf-2048.job +++ /dev/null @@ -1,30 +0,0 @@ -#!/bin/bash -#SBATCH --job-name=exact_%j -#SBATCH --output=./output_scala/exact_128_%A.out -#SBATCH -A k1339 -#SBATCH --nodes=2048 -#SBATCH --ntasks=2048 -#SBATCH --partition=workq -#SBATCH --ntasks-per-node=1 -#SBATCH --cpus-per-task=32 -#SBATCH --time=00:30:00 - -export STARPU_SCHED=eager - -export STARPU_WATCHDOG_TIMEOUT=1000000000 -export STARPU_WATCHDOG_CRASH=1 - - -x=150000 -y=90000 -export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - -n=$1 -dts=$2 - - -echo "STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=exact --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=64 --q=32 --opt_iters=1" - - srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=exact --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=64 --q=32 --opt_iters=1 - diff --git a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-exact-perf-256.job b/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-exact-perf-256.job deleted file mode 100755 index 99d0749..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-exact-perf-256.job +++ /dev/null @@ -1,29 +0,0 @@ -#!/bin/bash -#SBATCH --job-name=exact_%j -#SBATCH --output=./output_scala/exact_256_%A.out -#SBATCH -A k1339 -#SBATCH --nodes=256 -#SBATCH --ntasks=256 -#SBATCH --partition=workq -#SBATCH --ntasks-per-node=1 -#SBATCH --cpus-per-task=32 -#SBATCH --time=04:30:00 - -export STARPU_SCHED=eager - -export STARPU_WATCHDOG_TIMEOUT=1000000000 -export STARPU_WATCHDOG_CRASH=1 - - -x=20000 -y=9000 -export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - -n=$1 -dts=$2 - -echo "srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=exact --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=16 --q=16 --opt_iters=1" - - srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=exact --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=16 --q=16 --opt_iters=1 - diff --git a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-exact-perf-32.job b/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-exact-perf-32.job deleted file mode 100755 index c8abf32..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-exact-perf-32.job +++ /dev/null @@ -1,37 +0,0 @@ -#!/bin/bash -#SBATCH --job-name=exact_%j -#SBATCH --output=./output_scala/exact_32_%A.out -#SBATCH -A k1339 -#SBATCH --nodes=32 -#SBATCH --ntasks=32 -#SBATCH --partition=workq -#SBATCH --ntasks-per-node=1 -#SBATCH --cpus-per-task=32 -#SBATCH --time=02:30:00 - -export STARPU_SCHED=eager - -export STARPU_WATCHDOG_TIMEOUT=1000000000 -export STARPU_WATCHDOG_CRASH=1 - -#z=$1 -#n=40000 - -#x=20000 -#y=9000 -#export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -#export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - -x=20000 -y=9000 -export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - -n=$1 -dts=$2 - - -echo "srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=exact --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=8 --q=4 --opt_iter=1" - - srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=exact --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=8 --q=4 --opt_iter=1 - diff --git a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-exact-perf-512.job b/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-exact-perf-512.job deleted file mode 100755 index 5f7810f..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-exact-perf-512.job +++ /dev/null @@ -1,29 +0,0 @@ -#!/bin/bash -#SBATCH --job-name=exact_%j -#SBATCH --output=./output_scala/exact_512_%A.out -#SBATCH -A k1339 -#SBATCH --nodes=512 -#SBATCH --ntasks=512 -#SBATCH --partition=workq -#SBATCH --ntasks-per-node=1 -#SBATCH --cpus-per-task=32 -#SBATCH --time=04:30:00 - -export STARPU_SCHED=eager - -export STARPU_WATCHDOG_TIMEOUT=1000000000 -export STARPU_WATCHDOG_CRASH=1 - - -x=20000 -y=9000 -export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - -n=$1 -dts=$2 - -echo "srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=exact --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=32 --q=16 --opt_iters=1" - - srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=exact --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=32 --q=16 --opt_iters=1 - diff --git a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-exact-perf-64.job b/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-exact-perf-64.job deleted file mode 100755 index 9f35b78..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-exact-perf-64.job +++ /dev/null @@ -1,32 +0,0 @@ -#!/bin/bash -#SBATCH --job-name=exact_%j -#SBATCH --output=./output_scala/exact_64_%A.out -#SBATCH -A k1339 -#SBATCH --nodes=64 -#SBATCH --ntasks=64 -#SBATCH --partition=workq -#SBATCH --ntasks-per-node=1 -#SBATCH --cpus-per-task=32 -#SBATCH --time=02:30:00 - -export STARPU_SCHED=eager - -export STARPU_WATCHDOG_TIMEOUT=1000000000 -export STARPU_WATCHDOG_CRASH=1 - - -x=10000 -y=9000 -export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - -n=$1 -dts=$2 - - - -echo "srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=exact --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=8 --q=8 --opt_iter=1" - - - srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=exact --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=8 --q=8 --opt_iter=1 - diff --git a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-exact-perf-96.sh b/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-exact-perf-96.sh deleted file mode 100755 index 06fe95d..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-exact-perf-96.sh +++ /dev/null @@ -1,32 +0,0 @@ -#!/bin/bash -#SBATCH --job-name=exact_%j -#SBATCH --output=./output_scala/exact_96_%A.out -#SBATCH -A k1339 -#SBATCH --nodes=96 -#SBATCH --ntasks=96 -#SBATCH --partition=workq -#SBATCH --ntasks-per-node=1 -#SBATCH --cpus-per-task=32 -#SBATCH --time=08:30:00 - -export STARPU_SCHED=eager - -export STARPU_WATCHDOG_TIMEOUT=1000000000 -export STARPU_WATCHDOG_CRASH=1 - - -#x=10000 -#y=9000 -#export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -#export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - -n=$1 -dts=$2 - - - -echo "srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=exact --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=12 --q=8 --opt_iter=1" - - - srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=exact --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=12 --q=8 --opt_iter=1 - diff --git a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-tlr-perf-1024.job b/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-tlr-perf-1024.job deleted file mode 100755 index b39cc2a..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-tlr-perf-1024.job +++ /dev/null @@ -1,34 +0,0 @@ -#!/bin/bash -#SBATCH --job-name=exact_%j -#SBATCH --output=./output_scala/exact_1024_%A.out -#SBATCH -A k1339 -#SBATCH --nodes=1024 -#SBATCH --ntasks=1024 -#SBATCH --partition=workq -#SBATCH --ntasks-per-node=1 -#SBATCH --cpus-per-task=32 -#SBATCH --time=01:30:00 - -export STARPU_SCHED=eager - -export STARPU_WATCHDOG_TIMEOUT=1000000000 -export STARPU_WATCHDOG_CRASH=1 - -#z=$1 -#n=40000 - -x=150000 -y=90000 -export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - - -n=$1 -dts=$2 -acc=$3 -maxrank=$4 - -echo "STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=lr_approx --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --acc=$acc --maxrank=$maxrank --p=32 --q=32 --opt_iters=1" - - srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=lr_approx --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=32 --q=32 --opt_iters=1 --acc=$acc --maxrank=$maxrank - diff --git a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-tlr-perf-128.job b/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-tlr-perf-128.job deleted file mode 100755 index 59ad6d4..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-tlr-perf-128.job +++ /dev/null @@ -1,31 +0,0 @@ -#!/bin/bash -#SBATCH --job-name=exact_%j -#SBATCH --output=./output_scala/exact_128_%A.out -#SBATCH -A k1339 -#SBATCH --nodes=128 -#SBATCH --ntasks=128 -#SBATCH --partition=workq -#SBATCH --ntasks-per-node=1 -#SBATCH --cpus-per-task=32 -#SBATCH --time=02:30:00 - -export STARPU_SCHED=eager - -export STARPU_WATCHDOG_TIMEOUT=1000000000 -export STARPU_WATCHDOG_CRASH=1 - - -x=20000 -y=9000 -export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - -n=$1 -dts=$2 -acc=$3 -maxrank=$4 - -echo "srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=lr_approx --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=16 --q=8 --opt_iters=1 --acc=$acc --maxrank=$maxrank" - - srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=lr_approx --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=16 --q=8 --opt_iters=1 --acc=$acc --maxrank=$maxrank - diff --git a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-tlr-perf-16.job b/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-tlr-perf-16.job deleted file mode 100755 index 3b34974..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-tlr-perf-16.job +++ /dev/null @@ -1,38 +0,0 @@ -#!/bin/bash -#SBATCH --job-name=exact_%j -#SBATCH --output=./output_scala/exact_16_%A.out -#SBATCH -A k1339 -#SBATCH --nodes=16 -#SBATCH --ntasks=16 -#SBATCH --partition=workq -#SBATCH --ntasks-per-node=1 -#SBATCH --cpus-per-task=32 -#SBATCH --time=02:30:00 - -export STARPU_SCHED=eager - -export STARPU_WATCHDOG_TIMEOUT=1000000000 -export STARPU_WATCHDOG_CRASH=1 - -#z=$1 -#n=40000 - -x=20000 -y=9000 -export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - -#x=500 -#y=400 -#export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -#export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - -n=$1 -dts=$2 -acc=$3 -maxrank=$4 - -echo "srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=lr_approx --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=4 --q=4 --opt_iter=1 --acc=$acc --maxrank=$maxrank" - - srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=lr_approx --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=4 --q=4 --opt_iter=1 --acc=$acc --maxrank=$maxrank - diff --git a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-tlr-perf-2048.job b/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-tlr-perf-2048.job deleted file mode 100755 index 1e44fa9..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-tlr-perf-2048.job +++ /dev/null @@ -1,31 +0,0 @@ -#!/bin/bash -#SBATCH --job-name=exact_%j -#SBATCH --output=./output_scala/exact_128_%A.out -#SBATCH -A k1339 -#SBATCH --nodes=2048 -#SBATCH --ntasks=2048 -#SBATCH --partition=workq -#SBATCH --ntasks-per-node=1 -#SBATCH --cpus-per-task=32 -#SBATCH --time=00:30:00 - -export STARPU_SCHED=eager - -export STARPU_WATCHDOG_TIMEOUT=1000000000 -export STARPU_WATCHDOG_CRASH=1 - - -x=150000 -y=90000 -export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - -n=$1 -dts=$2 -acc=$3 -maxrank=$4 - -echo "STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=lr_approx --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=64 --q=32 --opt_iters=1 --acc=$acc --maxrank=$maxrank" - - srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=lr_approx --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=64 --q=32 --opt_iters=1 --acc=$acc --maxrank=$maxrank - diff --git a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-tlr-perf-256.job b/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-tlr-perf-256.job deleted file mode 100755 index d168172..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-tlr-perf-256.job +++ /dev/null @@ -1,31 +0,0 @@ -#!/bin/bash -#SBATCH --job-name=exact_%j -#SBATCH --output=./output_scala/exact_256_%A.out -#SBATCH -A k1339 -#SBATCH --nodes=256 -#SBATCH --ntasks=256 -#SBATCH --partition=workq -#SBATCH --ntasks-per-node=1 -#SBATCH --cpus-per-task=32 -#SBATCH --time=04:30:00 - -export STARPU_SCHED=eager - -export STARPU_WATCHDOG_TIMEOUT=1000000000 -export STARPU_WATCHDOG_CRASH=1 - - -x=20000 -y=9000 -export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - -n=$1 -dts=$2 -acc=$3 -maxrank=$4 - -echo "srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=lr_approx --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=16 --q=16 --opt_iters=1 --acc=$acc --maxrank=$maxrank" - - srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=lr_approx --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=16 --q=16 --opt_iters=1 --acc=$acc --maxrank=$maxrank - diff --git a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-tlr-perf-32.job b/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-tlr-perf-32.job deleted file mode 100755 index 5d36cac..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-tlr-perf-32.job +++ /dev/null @@ -1,38 +0,0 @@ -#!/bin/bash -#SBATCH --job-name=exact_%j -#SBATCH --output=./output_scala/exact_32_%A.out -#SBATCH -A k1339 -#SBATCH --nodes=32 -#SBATCH --ntasks=32 -#SBATCH --partition=workq -#SBATCH --ntasks-per-node=1 -#SBATCH --cpus-per-task=32 -#SBATCH --time=02:30:00 - -export STARPU_SCHED=eager - -export STARPU_WATCHDOG_TIMEOUT=1000000000 -export STARPU_WATCHDOG_CRASH=1 - -#z=$1 -#n=40000 - -#x=20000 -#y=9000 -#export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -#export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - -x=20000 -y=9000 -export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - -n=$1 -dts=$2 -acc=$3 -maxrank=$4 - -echo "srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=lr_approx --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=8 --q=4 --opt_iter=1 --acc=$acc --maxrank=$maxrank" - - srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=lr_approx --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=8 --q=4 --opt_iter=1 --acc=$acc --maxrank=$maxrank - diff --git a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-tlr-perf-512.job b/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-tlr-perf-512.job deleted file mode 100755 index ac79b13..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-tlr-perf-512.job +++ /dev/null @@ -1,32 +0,0 @@ -#!/bin/bash -#SBATCH --job-name=exact_%j -#SBATCH --output=./output_scala/exact_512_%A.out -#SBATCH -A k1339 -#SBATCH --nodes=512 -#SBATCH --ntasks=512 -#SBATCH --partition=workq -#SBATCH --ntasks-per-node=1 -#SBATCH --cpus-per-task=32 -#SBATCH --time=04:30:00 - -export STARPU_SCHED=eager - -export STARPU_WATCHDOG_TIMEOUT=1000000000 -export STARPU_WATCHDOG_CRASH=1 - - -x=20000 -y=9000 -export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - -n=$1 -dts=$2 -acc=$3 -maxrank=$4 - - -echo "srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=lr_approx --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=32 --q=16 --opt_iters=1 --acc=$acc --maxrank=$maxrank" - - srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=lr_approx --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=32 --q=16 --opt_iters=1 --acc=$acc --maxrank=$maxrank - diff --git a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-tlr-perf-64.job b/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-tlr-perf-64.job deleted file mode 100755 index 5b4a158..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-tlr-perf-64.job +++ /dev/null @@ -1,33 +0,0 @@ -#!/bin/bash -#SBATCH --job-name=exact_%j -#SBATCH --output=./output_scala/exact_64_%A.out -#SBATCH -A k1339 -#SBATCH --nodes=64 -#SBATCH --ntasks=64 -#SBATCH --partition=workq -#SBATCH --ntasks-per-node=1 -#SBATCH --cpus-per-task=32 -#SBATCH --time=02:30:00 - -export STARPU_SCHED=eager - -export STARPU_WATCHDOG_TIMEOUT=1000000000 -export STARPU_WATCHDOG_CRASH=1 - - -x=10000 -y=9000 -export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - -n=$1 -dts=$2 -acc=$3 -maxrank=$4 - - -echo "srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=lr_approx --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=8 --q=8 --opt_iter=1 --acc=$acc --maxrank=$maxrank" - - - srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=lr_approx --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=8 --q=8 --opt_iter=1 --acc=$acc --maxrank=$maxrank - diff --git a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-tlr-perf-96.sh b/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-tlr-perf-96.sh deleted file mode 100755 index 06fe95d..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/perf_exps/script-pars-tlr-perf-96.sh +++ /dev/null @@ -1,32 +0,0 @@ -#!/bin/bash -#SBATCH --job-name=exact_%j -#SBATCH --output=./output_scala/exact_96_%A.out -#SBATCH -A k1339 -#SBATCH --nodes=96 -#SBATCH --ntasks=96 -#SBATCH --partition=workq -#SBATCH --ntasks-per-node=1 -#SBATCH --cpus-per-task=32 -#SBATCH --time=08:30:00 - -export STARPU_SCHED=eager - -export STARPU_WATCHDOG_TIMEOUT=1000000000 -export STARPU_WATCHDOG_CRASH=1 - - -#x=10000 -#y=9000 -#export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -#export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - -n=$1 -dts=$2 - - - -echo "srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=exact --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=12 --q=8 --opt_iter=1" - - - srun ./build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=30 --computation=exact --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --p=12 --q=8 --opt_iter=1 - diff --git a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/real_data_exps/script-real-multivariate-exact-81nodes.job b/sc20-artifacts/sc20-experiments-scripts/cray-xc40/real_data_exps/script-real-multivariate-exact-81nodes.job deleted file mode 100755 index 2433a62..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/real_data_exps/script-real-multivariate-exact-81nodes.job +++ /dev/null @@ -1,27 +0,0 @@ -#!/bin/bash -#SBATCH --job-name=parsimonious_%j -#SBATCH --output=./output/real-multivar_%A.out -#SBATCH -A k1339 -#SBATCH --nodes=81 -#SBATCH --ntasks=81 -#SBATCH --partition=workq -#SBATCH --ntasks-per-node=1 -#SBATCH --cpus-per-task=32 -#SBATCH --time=23:30:00 - -export STARPU_SCHED=eager -export STARPU_WATCHDOG_TIMEOUT=1000000000 -export STARPU_WATCHDOG_CRASH=1 - -#x=20000 -#y=9000 -#export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -#export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - - - -echo "srun --hint=nomultithread numactl --interleave=all ./build/examples/real_csv_dmle_test --ncores=30 --computation=exact --kernel=?:?:?:?:?:? --olb=0.1:0.1:0.1:0.2:0.2:0.03 --oub=5:5:5:5:5:1 --dts=320 --p=9 --q=9 --verbose --kernel_fun="bivariate_matern_parsimonious" --obs_dir=./DATA/U_ocean_residuals_TRAINING --obs_dir2=./DATA/V_ocean_residuals_TRAINING --locs_file=./DATA//application_XY_ocean_residuals_TRAINING" - - -srun --hint=nomultithread numactl --interleave=all ./build/examples/real_csv_dmle_test --ncores=30 --computation=exact --kernel=?:?:?:?:?:? --olb=0.1:0.1:0.1:0.2:0.2:0.03 --oub=5:5:5:5:5:1 --dts=320 --p=9 --q=9 --verbose --kernel_fun="bivariate_matern_parsimonious" --obs_dir=./DATA/U_ocean_residuals_TRAINING --obs_dir2=./DATA/V_ocean_residuals_TRAINING --locs_file=./DATA//application_XY_ocean_residuals_TRAINING - diff --git a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/real_data_exps/script-real-multivariate-tlr-81nodes.job b/sc20-artifacts/sc20-experiments-scripts/cray-xc40/real_data_exps/script-real-multivariate-tlr-81nodes.job deleted file mode 100644 index f7364ea..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/real_data_exps/script-real-multivariate-tlr-81nodes.job +++ /dev/null @@ -1,28 +0,0 @@ -#!/bin/bash -#SBATCH --job-name=tlr_real_bivariate -#SBATCH --output=./output/tlr_5_real_wind_bivariate_2050.out -#SBATCH -A k1339 -#SBATCH --nodes=81 -#SBATCH --ntasks=81 -#SBATCH --partition=workq -#SBATCH --ntasks-per-node=1 -#SBATCH --cpus-per-task=32 -#SBATCH --time=20:30:00 - -export STARPU_SCHED=eager - -export STARPU_WATCHDOG_TIMEOUT=1000000000 -export STARPU_WATCHDOG_CRASH=1 - - -#x=30000 -#y=9000 - -#export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -#export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - - -acc=$1 -maxrank=$2 - -srun --hint=nomultithread numactl --interleave=all ./build/examples/real_csv_dmle_test --ncores=30 --computation=lr_approx --kernel=?:?:?:?:?:? --olb=0.1:0.1:0.1:0.1:0.1:0.1 --oub=2:2:2:3:3:1 --dts=760 --p=9 --q=9 --verbose --kernel_fun="bivariate_matern_parsimonious" --acc=$acc --maxrank=$maxrank --lts=2050 --opt_tol=7 --obs_dir=./U_ocean_residuals_TRAINING --obs_dir2=./V_ocean_residuals_TRAINING --locs_file=./application_XY_ocean_residuals_TRAINING diff --git a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/real_data_exps/script-real-univariate-U-exact-81nodes.job b/sc20-artifacts/sc20-experiments-scripts/cray-xc40/real_data_exps/script-real-univariate-U-exact-81nodes.job deleted file mode 100755 index 3c6f778..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/real_data_exps/script-real-univariate-U-exact-81nodes.job +++ /dev/null @@ -1,29 +0,0 @@ -#!/bin/bash -#SBATCH --job-name=parsimonious_%j -#SBATCH --output=./output/real-univariate_%A.out -#SBATCH -A k1339 -#SBATCH --nodes=81 -#SBATCH --ntasks=81 -#SBATCH --partition=workq -#SBATCH --ntasks-per-node=1 -#SBATCH --cpus-per-task=32 -#SBATCH --time=23:30:00 - -export STARPU_SCHED=eager - -export STARPU_WATCHDOG_TIMEOUT=1000000000 -export STARPU_WATCHDOG_CRASH=1 - - -#x=20000 -#y=9000 - -#export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -#export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - - - -echo "srun --hint=nomultithread numactl --interleave=all ./build/examples/real_csv_dmle_test --ncores=30 --computation=exact --kernel=?:?:? --olb=0.01:0.01:0.01 --oub=3:3:1 --dts=760 --p=9 --q=9 --verbose --kernel_fun="univariate_matern_stationary" --obs_dir=./DATA/U_ocean_residuals_TRAINING --locs_file=./DATA//application_XY_ocean_residuals_TRAINING" - -srun --hint=nomultithread numactl --interleave=all ./build/examples/real_csv_dmle_test --ncores=30 --computation=exact --kernel=?:?:? --olb=0.01:0.01:0.01 --oub=3:3:1 --dts=760 --p=9 --q=9 --verbose --kernel_fun="univariate_matern_stationary" --obs_dir=./DATA/U_ocean_residuals_TRAINING --locs_file=./DATA//application_XY_ocean_residuals_TRAINING - diff --git a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/real_data_exps/script-real-univariate-U-lr-81nodes.job b/sc20-artifacts/sc20-experiments-scripts/cray-xc40/real_data_exps/script-real-univariate-U-lr-81nodes.job deleted file mode 100755 index 4a72049..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/real_data_exps/script-real-univariate-U-lr-81nodes.job +++ /dev/null @@ -1,31 +0,0 @@ -#!/bin/bash -#SBATCH --job-name=parsimonious_%j -#SBATCH --output=./output/real-univariate_%A.out -#SBATCH -A k1339 -#SBATCH --nodes=81 -#SBATCH --ntasks=81 -#SBATCH --partition=workq -#SBATCH --ntasks-per-node=1 -#SBATCH --cpus-per-task=32 -#SBATCH --time=23:30:00 - -export STARPU_SCHED=eager - -export STARPU_WATCHDOG_TIMEOUT=1000000000 -export STARPU_WATCHDOG_CRASH=1 - - -#x=20000 -#y=9000 - -#export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -#export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - - -acc=$1 -maxrank=$2 - -echo "srun --hint=nomultithread numactl --interleave=all ./build/examples/real_csv_dmle_test --ncores=30 --computation=lr_approx --kernel=?:?:? --olb=0.01:0.01:0.01 --oub=3:3:1 --dts=760 --p=9 --q=9 --verbose --kernel_fun="univariate_matern_stationary" --obs_dir=./DATA/U_ocean_residuals_TRAINING --locs_file=./DATA//application_XY_ocean_residuals_TRAINING --acc=$acc --maxrank=$maxrank --lts=2050" - -srun --hint=nomultithread numactl --interleave=all ./build/examples/real_csv_dmle_test --ncores=30 --computation=lr_approx --kernel=?:?:? --olb=0.01:0.01:0.01 --oub=3:3:1 --dts=760 --p=9 --q=9 --verbose --kernel_fun="univariate_matern_stationary" --obs_dir=./DATA/U_ocean_residuals_TRAINING --locs_file=./DATA//application_XY_ocean_residuals_TRAINING --acc=$acc --maxrank=$maxrank --lts=2050 - diff --git a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/real_data_exps/script-real-univariate-UV-exact-81nodes.job b/sc20-artifacts/sc20-experiments-scripts/cray-xc40/real_data_exps/script-real-univariate-UV-exact-81nodes.job deleted file mode 100755 index 0903e02..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/real_data_exps/script-real-univariate-UV-exact-81nodes.job +++ /dev/null @@ -1,24 +0,0 @@ -#!/bin/bash -#SBATCH --job-name=parsimonious_%j -#SBATCH --output=./output/parsimonious_%A.out -#SBATCH -A k1339 -#SBATCH --nodes=81 -#SBATCH --ntasks=81 -#SBATCH --partition=workq -#SBATCH --ntasks-per-node=1 -#SBATCH --cpus-per-task=32 -#SBATCH --time=23:30:00 - -export STARPU_SCHED=eager - -export STARPU_WATCHDOG_TIMEOUT=1000000000 -export STARPU_WATCHDOG_CRASH=1 - - -#x=20000 -#y=9000 - -#export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -#export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - -srun --hint=nomultithread numactl --interleave=all ./build/examples/real_csv_dmle_test --ncores=30 --computation=exact --kernel=?:?:? --olb=0.01:0.01:0.01 --oub=5:5:5 --dts=560 --p=8 --q=8 --verbose --kernel_fun="univariate_matern_stationary" --obs_dir=./W_ocean_residuals --locs_file=./application_XY_ocean_residuals --checkpoint_file=script-real-uni-UV.log diff --git a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/real_data_exps/script-real-univariate-UV-lr-81nodes.job b/sc20-artifacts/sc20-experiments-scripts/cray-xc40/real_data_exps/script-real-univariate-UV-lr-81nodes.job deleted file mode 100755 index 41274c5..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/real_data_exps/script-real-univariate-UV-lr-81nodes.job +++ /dev/null @@ -1,30 +0,0 @@ -#!/bin/bash -#SBATCH --job-name=parsimonious_%j -#SBATCH --output=./output/parsimonious_%A.out -#SBATCH -A k1339 -#SBATCH --nodes=81 -#SBATCH --ntasks=81 -#SBATCH --partition=workq -#SBATCH --ntasks-per-node=1 -#SBATCH --cpus-per-task=32 -#SBATCH --time=23:30:00 - -export STARPU_SCHED=eager - -export STARPU_WATCHDOG_TIMEOUT=1000000000 -export STARPU_WATCHDOG_CRASH=1 - - -#x=20000 -#y=9000 - -#export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -#export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - -acc=$1 -maxrank=$2 - - -echo "srun --hint=nomultithread numactl --interleave=all ./build/examples/real_csv_dmle_test --ncores=30 --computation=exact --kernel=?:?:? --olb=0.01:0.01:0.01 --oub=5:5:5 --dts=560 --p=8 --q=8 --verbose --kernel_fun="univariate_matern_stationary" --obs_dir=./W_ocean_residuals --locs_file=./application_XY_ocean_residuals --checkpoint_file=script-real-uni-UV.log --acc=$acc --maxrank=$maxrank --lts=2050" - -srun --hint=nomultithread numactl --interleave=all ./build/examples/real_csv_dmle_test --ncores=30 --computation=exact --kernel=?:?:? --olb=0.01:0.01:0.01 --oub=5:5:5 --dts=560 --p=8 --q=8 --verbose --kernel_fun="univariate_matern_stationary" --obs_dir=./W_ocean_residuals --locs_file=./application_XY_ocean_residuals --checkpoint_file=script-real-uni-UV.log --acc=$acc --maxrank=$maxrank --lts=2050 diff --git a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/real_data_exps/script-real-univariate-V-exact-81nodes.job b/sc20-artifacts/sc20-experiments-scripts/cray-xc40/real_data_exps/script-real-univariate-V-exact-81nodes.job deleted file mode 100755 index 444429c..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/real_data_exps/script-real-univariate-V-exact-81nodes.job +++ /dev/null @@ -1,29 +0,0 @@ -#!/bin/bash -#SBATCH --job-name=parsimonious_%j -#SBATCH --output=./output/real-univariate_%A.out -#SBATCH -A k1205 -#SBATCH --nodes=81 -#SBATCH --ntasks=81 -#SBATCH --partition=workq -#SBATCH --ntasks-per-node=1 -#SBATCH --cpus-per-task=32 -#SBATCH --time=23:30:00 - -export STARPU_SCHED=eager - -export STARPU_WATCHDOG_TIMEOUT=1000000000 -export STARPU_WATCHDOG_CRASH=1 - - -#x=20000 -#y=9000 - -#export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -#export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - - - -echo "srun --hint=nomultithread numactl --interleave=all ./build/examples/real_csv_dmle_test --ncores=30 --computation=exact --kernel=?:?:? --olb=0.01:0.01:0.01 --oub=3:3:1 --dts=760 --p=9 --q=9 --verbose --kernel_fun="univariate_matern_stationary" --obs_dir=./DATA/V_ocean_residuals_TRAINING --locs_file=./DATA//application_XY_ocean_residuals_TRAINING" - -srun --hint=nomultithread numactl --interleave=all ./build/examples/real_csv_dmle_test --ncores=30 --computation=exact --kernel=?:?:? --olb=0.01:0.01:0.01 --oub=3:3:1 --dts=760 --p=9 --q=9 --verbose --kernel_fun="univariate_matern_stationary" --obs_dir=./DATA/V_ocean_residuals_TRAINING --locs_file=./DATA//application_XY_ocean_residuals_TRAINING - diff --git a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/real_data_exps/script-real-univariate-V-lr-81nodes.job b/sc20-artifacts/sc20-experiments-scripts/cray-xc40/real_data_exps/script-real-univariate-V-lr-81nodes.job deleted file mode 100755 index 6f6880d..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/cray-xc40/real_data_exps/script-real-univariate-V-lr-81nodes.job +++ /dev/null @@ -1,30 +0,0 @@ -#!/bin/bash -#SBATCH --job-name=parsimonious_%j -#SBATCH --output=./output/real-univariate_%A.out -#SBATCH -A k1205 -#SBATCH --nodes=81 -#SBATCH --ntasks=81 -#SBATCH --partition=workq -#SBATCH --ntasks-per-node=1 -#SBATCH --cpus-per-task=32 -#SBATCH --time=23:30:00 - -export STARPU_SCHED=eager - -export STARPU_WATCHDOG_TIMEOUT=1000000000 -export STARPU_WATCHDOG_CRASH=1 - - -#x=20000 -#y=9000 - -#export STARPU_LIMIT_MAX_SUBMITTED_TASKS=$x -#export STARPU_LIMIT_MIN_SUBMITTED_TASKS=$y - -acc=$1 -maxrank=$2 - -echo "srun --hint=nomultithread numactl --interleave=all ./build/examples/real_csv_dmle_test --ncores=30 --computation=exact --kernel=?:?:? --olb=0.01:0.01:0.01 --oub=3:3:1 --dts=760 --p=9 --q=9 --verbose --kernel_fun="univariate_matern_stationary" --obs_dir=./DATA/V_ocean_residuals_TRAINING --locs_file=./DATA//application_XY_ocean_residuals_TRAINING --acc=$acc --maxrank=$maxrank --lts=2050" - -srun --hint=nomultithread numactl --interleave=all ./build/examples/real_csv_dmle_test --ncores=30 --computation=exact --kernel=?:?:? --olb=0.01:0.01:0.01 --oub=3:3:1 --dts=760 --p=9 --q=9 --verbose --kernel_fun="univariate_matern_stationary" --obs_dir=./DATA/V_ocean_residuals_TRAINING --locs_file=./DATA//application_XY_ocean_residuals_TRAINING --acc=$acc --maxrank=$maxrank --lts=2050 - diff --git a/sc20-artifacts/sc20-experiments-scripts/shared-memory-systems/parameters-tuning-shared-memory-tlr-multivariate.sh b/sc20-artifacts/sc20-experiments-scripts/shared-memory-systems/parameters-tuning-shared-memory-tlr-multivariate.sh deleted file mode 100755 index 90c0b20..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/shared-memory-systems/parameters-tuning-shared-memory-tlr-multivariate.sh +++ /dev/null @@ -1,75 +0,0 @@ -#!/bin/bash - -#dense - -ncores=55 #intel Skylake example - -for n in 28900 40000 55225 59536 -do - for k in 1 2 3 - do - for dts in 320 460 560 760 960 - do - ../build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=$ncores --computation=exact --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious - done - done -done - - - -#LR5 -for n in 28900 40000 55225 59536 -do - for rank in 275 300 325 350 - do - for lts in 960 1000 1200 1400 1600 - do - for k in 1 23 - do - for dts in 560 - do - ../build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=$ncores --computation=lr_approx --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --acc=5 --maxrank=$rank --lts=$lts - done - done - done - done -done - - -#LR7 -for n in 28900 40000 55225 59536 -do - for rank in 325 350 375 400 425 450 475 500 - do - for lts in 960 1000 1200 1400 1600 1800 2000 2400 - do - for k in 1 2 3 - do - for dts in 560 - do - ../build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=$ncores --computation=lr_approx --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --acc=7 --maxrank=$rank --lts=$lts - done - done - done - done -done - - - -#lR9 -for n in 28900 40000 55225 59536 -do - for rank in 600 625 650 675 700 - do - for lts in 960 1000 1200 1400 1600 1800 2000 2400 - do - for k in 1 2 3 - do - for dts in 560 - do - ../build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=$ncores --computation=lr_approx --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --acc=9 --maxrank=$rank --lts=$lts - done - done - done - done -done diff --git a/sc20-artifacts/sc20-experiments-scripts/shared-memory-systems/perf-shared-memory-script-mmloe-mmom-multivariate.sh b/sc20-artifacts/sc20-experiments-scripts/shared-memory-systems/perf-shared-memory-script-mmloe-mmom-multivariate.sh deleted file mode 100755 index 6e70435..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/shared-memory-systems/perf-shared-memory-script-mmloe-mmom-multivariate.sh +++ /dev/null @@ -1,18 +0,0 @@ -#!/bin/bash -##dense - -ncores=55 # Intel Skylake example - -for n in 22500 28900 34225 40000 46225 51076 55225 63001 -do - for k in 1 2 3 - do - predict_values=100 - echo $predict_values - for dts in 560 - do - ../build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=$ncores --computation=exact --kernel=?:?:?:?:?:? --opt_iter=3 --ikernel=1:1:0.1:0.08:0.5:0.8 --olb=0.01:0.01:0.01:0.01:0.01 --oub=5:5:5:5:5:5 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --predict=$predict_values --mloe_mmom - done - done -done - diff --git a/sc20-artifacts/sc20-experiments-scripts/shared-memory-systems/perf-shared-memory-script-mmloe-mmom.sh b/sc20-artifacts/sc20-experiments-scripts/shared-memory-systems/perf-shared-memory-script-mmloe-mmom.sh deleted file mode 100755 index 5bc44f6..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/shared-memory-systems/perf-shared-memory-script-mmloe-mmom.sh +++ /dev/null @@ -1,19 +0,0 @@ -#!/bin/bash -#dense - -ncores=55 #intel Skylake example. - -for n in 22500 28900 34225 40000 46225 51076 55225 63001 -do - for k in 1 2 - do - predict_values=100 - echo $predict_values - for dts in 560 - do - ../build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=$ncores --computation=exact --kernel=0.9:0.09:0.49 --ikernel=1:0.1:0.5 --olb=0.01:0.01:0.01 --oub=5:5:5 --zvecs=1 --kernel_fun=univariate_matern_stationary --predict=$predict_values --mloe_mmom - done - done -done - - diff --git a/sc20-artifacts/sc20-experiments-scripts/shared-memory-systems/perf-shared-memory-script-tlr-multivariate.sh b/sc20-artifacts/sc20-experiments-scripts/shared-memory-systems/perf-shared-memory-script-tlr-multivariate.sh deleted file mode 100755 index 11fe4fc..0000000 --- a/sc20-artifacts/sc20-experiments-scripts/shared-memory-systems/perf-shared-memory-script-tlr-multivariate.sh +++ /dev/null @@ -1,75 +0,0 @@ -#!/bin/bash - -#dense - -ncores=55 #intel Skylake example - -for n in 28900 34225 40000 46225 51076 55225 59536 63001 -do - for k in 1 2 3 - do - for dts in 560 - do - ../build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=$ncores --computation=exact --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious - done - done -done - - - -#LR5 -for n in 28900 34225 40000 46225 51076 55225 59536 63001 -do - for rank in 275 300 325 350 - do - for lts in 960 1000 1200 1400 1600 - do - for k in 1 23 - do - for dts in 560 - do - ../build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=$ncores --computation=lr_approx --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --acc=5 --maxrank=$rank --lts=$lts - done - done - done - done -done - - -#LR7 -for n in 28900 34225 40000 46225 51076 55225 59536 63001 -do - for rank in 325 350 375 400 425 450 475 500 - do - for lts in 960 1000 1200 1400 1600 1800 2000 2400 - do - for k in 1 2 3 - do - for dts in 560 - do - ../build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=$ncores --computation=lr_approx --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --acc=7 --maxrank=$rank --lts=$lts - done - done - done - done -done - - - -#lR9 -for n in 28900 34225 40000 46225 51076 55225 59536 63001 -do - for rank in 600 625 650 675 700 - do - for lts in 1600 - do - for k in 1 2 3 - do - for dts in 560 - do - ../build/examples/synthetic_dmle_test --test --N=$n --dts=$dts --ncores=$ncores --computation=lr_approx --kernel=1:1:0.03:0.5:1:0.9 --ikernel=1:1:0.03:0.5:1:0.9 --olb=0.01:0.01:0.01:0.01:0.01:0.01 --oub=2:2:2:2:2:1 --zvecs=1 --kernel_fun=bivariate_matern_parsimonious --acc=9 --maxrank=$rank --lts=$lts - done - done - done - done -done diff --git a/sc20-artifacts/sc20-installation-scripts/amd-starpu1.2.9-mkl-installation-script.sh b/sc20-artifacts/sc20-installation-scripts/amd-starpu1.2.9-mkl-installation-script.sh deleted file mode 100644 index 4ccd6d9..0000000 --- a/sc20-artifacts/sc20-installation-scripts/amd-starpu1.2.9-mkl-installation-script.sh +++ /dev/null @@ -1,301 +0,0 @@ -module load gcc -module load intel -module load cmake -git clone https://github.com/ecrc/exageostat -export EXAGEOSTATDEVDIR=$PWD/exageostat -mkdir codes -SETUP_DIR=$(pwd)/codes -CUDAVALUE="OFF" -MPIVALUE="OFF" -BUILD_DEPENDENCIES="true" - -cd exageostat -git pull -git submodule update --init --recursive - -cd $SETUP_DIR - -export HICMADIR=$PWD/hicma -export CHAMELEONDIR=$PWD/hicma/chameleon -export STARSHDIR=$PWD/stars-h - - -# gsl -if pkg-config --exists --atleast-version=2 gsl -then - _LOCATION=`pkg-config --variable=prefix gsl` - echo "gsl FOUND in [$_LOCATION]" -else - if [ "$BUILD_DEPENDENCIES" == "true" ] - then - echo "Building GSL..." - cd $SETUP_DIR - wget https://ftp.gnu.org/gnu/gsl/gsl-2.4.tar.gz -O - | tar -zx - cd gsl-2.4 - mkdir gsl_install - CC=gcc ./configure --prefix=$PWD/gsl_install/ - make || make VERBOSE=1 || { echo 'GSL installation failed' ; exit 1; } - make install - export GSLROOT=$PWD - export PKG_CONFIG_PATH=$GSLROOT/gsl_install/lib/pkgconfig:$PKG_CONFIG_PATH - export LD_LIBRARY_PATH=$GSLROOT/gsl_install/lib:$LD_LIBRARY_PATH - echo 'export PKG_CONFIG_PATH='$GSLROOT'/gsl_install/lib/pkgconfig:$PKG_CONFIG_PATH' >> $SETUP_DIR/pkg_config_cpu.sh - echo 'export LD_LIBRARY_PATH='$GSLROOT'/gsl_install/lib:$LD_LIBRARY_PATH' >> $SETUP_DIR/pkg_config_cpu.sh - else - echo "####################" - echo "gsl NOT FOUND" - echo "Please download it from: https://ftp.gnu.org/gnu/gsl/gsl-2.4.tar.gz" - echo "After installing it, set the proper PKG_CONFIG_PATH variable" - echo "" - err=1 - fi -fi - -# nlopt -if pkg-config --exists --atleast-version=2.4 nlopt -then - _LOCATION=`pkg-config --variable=prefix nlopt` - echo "nlopt FOUND in [$_LOCATION]" -else - if [ "$BUILD_DEPENDENCIES" == "true" ] - then - echo "Building NLOPT..." - cd $SETUP_DIR - wget http://ab-initio.mit.edu/nlopt/nlopt-2.4.2.tar.gz -O - | tar -zx - cd nlopt-2.4.2 - [[ -d nlopt_install ]] || mkdir nlopt_install - CC=gcc ./configure --enable-shared --without-guile --prefix=$PWD/nlopt_install/ - make || make VERBOSE=1 || { echo 'NLOPT installation failed' ; exit 1; } - make install - NLOPTROOT=$PWD - export PKG_CONFIG_PATH=$NLOPTROOT/nlopt_install/lib/pkgconfig:$PKG_CONFIG_PATH - export LD_LIBRARY_PATH=$NLOPTROOT/nlopt_install/lib:$LD_LIBRARY_PATH - echo 'export PKG_CONFIG_PATH='$NLOPTROOT'/nlopt_install/lib/pkgconfig:$PKG_CONFIG_PATH' >> $SETUP_DIR/pkg_config_cpu.sh - echo 'export LD_LIBRARY_PATH='$NLOPTROOT'/nlopt_install/lib:$LD_LIBRARY_PATH' >> $SETUP_DIR/pkg_config_cpu.sh - else - echo "####################" - echo "nlopt NOT FOUND" - echo "Please download it from: http://ab-initio.mit.edu/nlopt/nlopt-2.4.2.tar.gz" - echo "After installing it, set the proper PKG_CONFIG_PATH variable" - echo "" - err=1 - fi -fi - - -# hwloc -if pkg-config --exists hwloc -then - _LOCATION=`pkg-config --variable=prefix hwloc` - echo "hwloc FOUND in [$_LOCATION]" -else - if [ "$BUILD_DEPENDENCIES" == "true" ] - then - echo "Building Hwloc..." - cd $SETUP_DIR - wget https://download.open-mpi.org/release/hwloc/v2.0/hwloc-2.0.2.tar.gz -O - | tar -zx - cd hwloc-2.0.2 - [[ -d hwloc_install ]] || mkdir hwloc_install - CC=gcc ./configure --prefix=$PWD/hwloc_install --disable-libxml2 -disable-pci --enable-shared=yes - - make || make VERBOSE=1 || { echo 'HWLOC installation failed' ; exit 1; } - make install - export HWLOCROOT=$PWD - export PKG_CONFIG_PATH=$HWLOCROOT/hwloc_install/lib/pkgconfig:$PKG_CONFIG_PATH - export LD_LIBRARY_PATH=$HWLOCROOT/hwloc_install/lib:$LD_LIBRARY_PATH - echo 'export PKG_CONFIG_PATH='$HWLOCROOT'/hwloc_install/lib/pkgconfig:$PKG_CONFIG_PATH' >> $SETUP_DIR/pkg_config_cpu.sh - echo 'export LD_LIBRARY_PATH='$HWLOCROOT'/hwloc_install/lib:$LD_LIBRARY_PATH' >> $SETUP_DIR/pkg_config_cpu.sh - else - echo "####################" - echo "hwloc NOT FOUND" - echo "Please download it from: https://www.open-mpi.org/software/hwloc/v1.11/downloads/hwloc-1.11.5.tar.gz" - echo "After installing it, set the proper PKG_CONFIG_PATH variable" - echo "" - err=1 - fi -fi - - - -# StarPU -if pkg-config --exists starpu-1.2 - -then - _LOCATION=`pkg-config --variable=prefix libstarpu` - echo "StarPU FOUND in [$_LOCATION]" -else - if [ "$BUILD_DEPENDENCIES" == "true" ] - then - echo "Building StarPU..." - cd $SETUP_DIR - wget http://starpu.gforge.inria.fr/files/starpu-1.2.9/starpu-1.2.9.tar.gz -O - | tar -zx - cd starpu-1.2.9 - [[ -d starpu_install ]] || mkdir starpu_install -sed -i 's/MPI_Address/MPI_Get_address/g' mpi/examples/user_datatype/my_interface.c - if [ "$CUDAVALUE" == "ON" ]; then - if [ "$MPIVALUE" == "ON" ]; then - CC=gcc CFLAGS=-w ./configure --disable-starpufft --enable-cuda --disable-opencl --prefix=$PWD/starpu_install --enable-blas-lib=none --disable-starpu-top --disable-starpufft --disable-build-doc --disable-starpufft-examples --disable-fortran --with-perf-model-dir=$PWD/starpu_install --enable-maxcpus=128 - else - CC=gcc CFLAGS=-w ./configure --disable-starpufft --enable-cuda --disable-opencl --prefix=$PWD/starpu_install --enable-blas-lib=none --disable-starpu-top --disable-starpufft --disable-build-doc --disable-starpufft-examples --disable-mpi --disable-fortran --with-perf-model-dir=$PWD/starpu_install --enable-maxcpus=128 - fi - else - if [ "$MPIVALUE" == "ON" ]; then - CC=gcc CFLAGS=-w ./configure --disable-starpufft --disable-cuda --disable-opencl --prefix=$PWD/starpu_install --enable-blas-lib=none --disable-starpu-top --disable-starpufft --disable-build-doc --disable-starpufft-examples --disable-fortran --with-perf-model-dir=$PWD/starpu_install --enable-maxcpus=128 - else - CC=gcc CFLAGS=-w ./configure --disable-starpufft --disable-cuda --disable-opencl --prefix=$PWD/starpu_install --enable-blas-lib=none --disable-starpu-top --disable-starpufft --disable-build-doc --disable-starpufft-examples --disable-mpi --disable-fortran --disable-glpk --with-perf-model-dir=$PWD/starpu_install --enable-maxcpus=128 - fi - fi - make || make VERBOSE=1 || { echo 'STARPU installation failed' ; exit 1; } - make install - export STARPUROOT=$PWD - export PKG_CONFIG_PATH=$STARPUROOT/starpu_install/lib/pkgconfig:$PKG_CONFIG_PATH - export LD_LIBRARY_PATH=$STARPUROOT/starpu_install/lib:$LD_LIBRARY_PATH - export CPATH=$STARPUROOT/starpu_install/include/starpu/1.2:$CPATH - echo 'export PKG_CONFIG_PATH='$STARPUROOT'/starpu_install/lib/pkgconfig:$PKG_CONFIG_PATH' >> $SETUP_DIR/pkg_config_cpu.sh - echo 'export LD_LIBRARY_PATH='$STARPUROOT'/starpu_install/lib:$LD_LIBRARY_PATH' >> $SETUP_DIR/pkg_config_cpu.sh - echo 'export CPATH='$STARPUROOT'/starpu_install/include/starpu/1.2:$CPATH' >> $SETUP_DIR/pkg_config_cpu.sh - else - echo "####################" - echo "StarPU NOT FOUND" - echo "Please download it from: http://starpu.gforge.inria.fr/files/" - echo "After installing it, set the proper PKG_CONFIG_PATH variable" - echo "" - err=1 -fi -fi - -# CHAMELEON -if pkg-config --exists chameleon -then - _LOCATION=`pkg-config --variable=prefix chameleon` - echo "CHAMELEON FOUND in [$_LOCATION]" -else - if [ "$BUILD_DEPENDENCIES" == "true" ] - then - echo "Building CHAMELEON..." - cd $CHAMELEONDIR - mkdir -p build/install_dir && cd build - rm -rf ./CMake* - cmake -DCMAKE_CXX_COMPILER=g++ -DCMAKE_C_COMPILER=gcc -DCHAMELEON_USE_MPI=$MPIVALUE -DCMAKE_BUILD_TYPE="Release" -DCMAKE_C_FLAGS_RELEASE="-O3 -Ofast -w" -DCHAMELEON_USE_CUDA=$CUDAVALUE -DCHAMELEON_ENABLE_EXAMPLE=OFF -DCHAMELEON_ENABLE_TESTING=OFF -DCHAMELEON_ENABLE_TIMING=OFF -DBUILD_SHARED_LIBS=ON -DCMAKE_INSTALL_PREFIX=$PWD/install_dir -DMPI_C_COMPILER=`which mpicc` .. - make || make VERBOSE=1 || { echo 'CHAMELEON installation failed' ; exit 1; } - make install - export PKG_CONFIG_PATH=$CHAMELEONDIR/build/install_dir/lib/pkgconfig:$PKG_CONFIG_PATH - export LD_LIBRARY_PATH=$CHAMELEONDIR/build/install_dir/lib:$LD_LIBRARY_PATH - export CPATH=$CHAMELEONDIR/build/install_dir/include/coreblas:$CPATH - export CPATH=$CHAMELEONDIR/build/install_dir/include:$CPATH - echo 'export PKG_CONFIG_PATH='$CHAMELEONDIR'/build/install_dir/lib/pkgconfig:$PKG_CONFIG_PATH' >> $SETUP_DIR/pkg_config_cpu.sh - echo 'export LD_LIBRARY_PATH='$CHAMELEONDIR'/build/install_dir/lib:$LD_LIBRARY_PATH' >> $SETUP_DIR/pkg_config_cpu.sh - echo 'export CPATH='$CHAMELEONDIR'/build/install_dir/include/coreblas:$CPATH' >> $SETUP_DIR/pkg_config_cpu.sh - echo 'export CPATH='$CHAMELEONDIR'/build/install_dir/include:$CPATH' >> $SETUP_DIR/pkg_config_cpu.sh - else - echo "####################" - echo "CHAMELEON NOT FOUND" - echo "Please download it from: https://gitlab.inria.fr/solverstack/chameleon.git" - echo "After installing it, set the proper PKG_CONFIG_PATH variable" - echo "" - err=1 - fi -fi - - - -# starsh -if pkg-config --exists --atleast-version=0.1.1 starsh -then - _LOCATION=`pkg-config --variable=prefix starsh` - echo "starsh FOUND in [$_LOCATION]" -else - if [ "$BUILD_DEPENDENCIES" == "true" ] - then - echo "Building STARS-H..." - cd $STARSHDIR - rm -rf build - mkdir -p build/install_dir && cd build - rm -rf ./CMake* - cmake -DCMAKE_CXX_COMPILER=g++ -DCMAKE_C_COMPILER=gcc -DCMAKE_C_FLAGS=-fPIC -DCMAKE_BUILD_TYPE="Release" -DCMAKE_C_FLAGS_RELEASE="-O3 -Ofast -w" -DOPENMP=OFF -DSTARPU=OFF -DEXAMPLES=OFF -DTESTING=OFF -DMPI=$MPIVALUE -DCMAKE_INSTALL_PREFIX=$PWD/install_dir -DGSL=ON .. - make || make VERBOSE=1 || { echo 'STARS-H installation failed' ; exit 1; } - make install - export PKG_CONFIG_PATH=$STARSHDIR/build/install_dir/lib/pkgconfig:$PKG_CONFIG_PATH - export LD_LIBRARY_PATH=$STARSHDIR/build/install_dir/lib:$LD_LIBRARY_PATH - - echo 'export PKG_CONFIG_PATH='$STARSHDIR'/build/install_dir/lib/pkgconfig:$PKG_CONFIG_PATH' >> $SETUP_DIR/pkg_config_cpu.sh - echo 'export PKG_CONFIG_PATH='$STARSHDIR'/build/install_dir/lib/pkgconfig:$PKG_CONFIG_PATH' >> $SETUP_DIR/pkg_config_cpu.sh - else - echo "####################" - echo "starsh NOT FOUND" - echo "Please download it from: https://github.com/ecrc/stars-h" - echo "After installing it, set the proper PKG_CONFIG_PATH variable" - echo "" - err=1 - fi -fi - -module unload cmake - -module load cmake/3.9.4/gnu-6.4.0 -#export PATH=$PATH:/sw/csgv/openmpi/4.0.1/el7.6_gnu6.4.0_cuda10.1.105/bin -#export CPATH=$CPATH:/sw/csgv/openmpi/4.0.1/el7.6_gnu6.4.0_cuda10.1.105/bin -# hicma -if pkg-config --exists hicma -then - _LOCATION=`pkg-config --variable=prefix hicma` - echo "hicma FOUND in [$_LOCATION]" -else - if [ "$BUILD_DEPENDENCIES" == "true" ] - then - echo "Building HiCMA..." - cd $HICMADIR - rm -rf build - mkdir -p build/install_dir && cd build - rm -rf ./CMake* - cmake -DCMAKE_CXX_COMPILER=g++ -DCMAKE_C_COMPILER=gcc -DHICMA_USE_MPI=$MPIVALUE -DCMAKE_BUILD_TYPE="Release" -DCMAKE_C_FLAGS_RELEASE="-O3 -Ofast -w" -DBUILD_SHARED_LIBS=ON -DHICMA_ENABLE_TESTING=OFF -DHICMA_ENABLE_TIMING=OFF -DCMAKE_INSTALL_PREFIX=$PWD/install_dir -DMPI_C_COMPILER=`which mpicc` .. - make || make VERBOSE=1 || { echo 'HICMA installation failed' ; exit 1; } - make install - export PKG_CONFIG_PATH=$HICMADIR/build/install_dir/lib/pkgconfig:$PKG_CONFIG_PATH - export LD_LIBRARY_PATH=$HICMADIR/build/install_dir/lib:$LD_LIBRARY_PATH - - - echo 'export PKG_CONFIG_PATH='$HICMADIR'/build/install_dir/lib/pkgconfig:$PKG_CONFIG_PATH' >> $SETUP_DIR/pkg_config_cpu.sh - echo 'export LD_LIBRARY_PATH='$HICMADIR'/build/install_dir/lib:$LD_LIBRARY_PATH' >> $SETUP_DIR/pkg_config_cpu.sh - else - echo "####################" - echo "hicma NOT FOUND" - echo "Please download it from: https://github.com/ecrc/hicma" - echo "After installing it, set the proper PKG_CONFIG_PATH variable" - echo "" - err=1 - fi -fi - - - - - -# exageostat -if pkg-config --exists exageostat -then - _LOCATION=`pkg-config --variable=prefix exageostat` - echo "exageostat FOUND in [$_LOCATION]" -else - if [ "$BUILD_DEPENDENCIES" == "true" ] - then - echo "Building exageostat..." - cd $EXAGEOSTATDEVDIR - rm -rf build - mkdir -p build/install_dir && cd build - rm -rf ./CMake* - cmake -DCMAKE_BUILD_TYPE="Release" -DCMAKE_CXX_COMPILER=g++ -DCMAKE_C_COMPILER=gcc -DCMAKE_C_FLAGS_RELEASE="-O3 -Ofast -w" -DBUILD_SHARED_LIBS=ON -DEXAGEOSTAT_EXAMPLES=ON -DEXAGEOSTAT_USE_MPI=$MPIVALUE -DEXAGEOSTAT_USE_HICMA=ON -DCMAKE_INSTALL_PREFIX=$PWD/install_dir -DEXAGEOSTAT_USE_CUDA=$CUDAVALUE .. - - make || make VERBOSE=1 || { echo 'HICMA installation failed' ; exit 1; } - make install - else - echo "####################" - echo "hicma NOT FOUND" - echo "Please download it from: https://github.com/ecrc/hicma" - echo "After installing it, set the proper PKG_CONFIG_PATH variable" - echo "" - err=1 - fi -fi - - diff --git a/sc20-artifacts/sc20-machines-env-info/128-core-amd-epyc-output.txt b/sc20-artifacts/sc20-machines-env-info/128-core-amd-epyc-output.txt deleted file mode 100644 index 9f1b97c..0000000 --- a/sc20-artifacts/sc20-machines-env-info/128-core-amd-epyc-output.txt +++ /dev/null @@ -1,314 +0,0 @@ -MANPATH=::/opt/puppetlabs/puppet/share/man:/opt/slurm/cluster/raven/install/share/man -XDG_SESSION_ID=13368 -HOSTNAME=cn110-23-l -TERM=xterm-256color -SHELL=/bin/bash -HISTSIZE=1000 -SSH_CLIENT=10.109.66.217 38580 22 -KAUST_ARCH=x86_64 -QTDIR=/usr/lib64/qt-3.3 -QTINC=/usr/lib64/qt-3.3/include -SSH_TTY=/dev/pts/0 -QT_GRAPHICSSYSTEM_CHECKED=1 -USER=USER -LS_COLORS=rs=0:di=38;5;27:ln=38;5;51:mh=44;38;5;15:pi=40;38;5;11:so=38;5;13:do=38;5;5:bd=48;5;232;38;5;11:cd=48;5;232;38;5;3:or=48;5;232;38;5;9:mi=05;48;5;232;38;5;15:su=48;5;196;38;5;15:sg=48;5;11;38;5;16:ca=48;5;196;38;5;226:tw=48;5;10;38;5;16:ow=48;5;10;38;5;21:st=48;5;21;38;5;15:ex=38;5;34:*.tar=38;5;9:*.tgz=38;5;9:*.arc=38;5;9:*.arj=38;5;9:*.taz=38;5;9:*.lha=38;5;9:*.lz4=38;5;9:*.lzh=38;5;9:*.lzma=38;5;9:*.tlz=38;5;9:*.txz=38;5;9:*.tzo=38;5;9:*.t7z=38;5;9:*.zip=38;5;9:*.z=38;5;9:*.Z=38;5;9:*.dz=38;5;9:*.gz=38;5;9:*.lrz=38;5;9:*.lz=38;5;9:*.lzo=38;5;9:*.xz=38;5;9:*.bz2=38;5;9:*.bz=38;5;9:*.tbz=38;5;9:*.tbz2=38;5;9:*.tz=38;5;9:*.deb=38;5;9:*.rpm=38;5;9:*.jar=38;5;9:*.war=38;5;9:*.ear=38;5;9:*.sar=38;5;9:*.rar=38;5;9:*.alz=38;5;9:*.ace=38;5;9:*.zoo=38;5;9:*.cpio=38;5;9:*.7z=38;5;9:*.rz=38;5;9:*.cab=38;5;9:*.jpg=38;5;13:*.jpeg=38;5;13:*.gif=38;5;13:*.bmp=38;5;13:*.pbm=38;5;13:*.pgm=38;5;13:*.ppm=38;5;13:*.tga=38;5;13:*.xbm=38;5;13:*.xpm=38;5;13:*.tif=38;5;13:*.tiff=38;5;13:*.png=38;5;13:*.svg=38;5;13:*.svgz=38;5;13:*.mng=38;5;13:*.pcx=38;5;13:*.mov=38;5;13:*.mpg=38;5;13:*.mpeg=38;5;13:*.m2v=38;5;13:*.mkv=38;5;13:*.webm=38;5;13:*.ogm=38;5;13:*.mp4=38;5;13:*.m4v=38;5;13:*.mp4v=38;5;13:*.vob=38;5;13:*.qt=38;5;13:*.nuv=38;5;13:*.wmv=38;5;13:*.asf=38;5;13:*.rm=38;5;13:*.rmvb=38;5;13:*.flc=38;5;13:*.avi=38;5;13:*.fli=38;5;13:*.flv=38;5;13:*.gl=38;5;13:*.dl=38;5;13:*.xcf=38;5;13:*.xwd=38;5;13:*.yuv=38;5;13:*.cgm=38;5;13:*.emf=38;5;13:*.axv=38;5;13:*.anx=38;5;13:*.ogv=38;5;13:*.ogx=38;5;13:*.aac=38;5;45:*.au=38;5;45:*.flac=38;5;45:*.mid=38;5;45:*.midi=38;5;45:*.mka=38;5;45:*.mp3=38;5;45:*.mpc=38;5;45:*.ogg=38;5;45:*.ra=38;5;45:*.wav=38;5;45:*.axa=38;5;45:*.oga=38;5;45:*.spx=38;5;45:*.xspf=38;5;45: -KAUST_DISTRO=el7 -TMOUT=7200 -LIBGL_ALWAYS_INDIRECT=1 -MAIL=/var/spool/mail/USER -PATH=/usr/lpp/mmfs/bin:/usr/lpp/mmfs/bin:/usr/lib64/qt-3.3/bin:/usr/lpp/mmfs/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/slurm/scripts/bin:/opt/puppetlabs/bin:/opt/slurm/cluster/raven/install/bin:/opt/slurm/scripts/bin:/opt/slurm/scripts/bin:/opt/slurm/cluster/raven/install/bin:/opt/slurm/scripts/bin:/opt/slurm/scripts/bin:/opt/slurm/cluster/raven/install/bin:/opt/slurm/scripts/bin -KAUST_APPS_ROOT=/cbrc/software -_=/usr/bin/env -KAUST_NODETYPE=amd -PWD=/home/USER -LANG=en_US.UTF-8 -MODULEPATH=/sw/csa/modulefiles/applications:/sw/csa/modulefiles/compilers:/sw/csa/modulefiles/libs:/sw/services/modulefiles -LOADEDMODULES= -KDEDIRS=/usr -KAUST_MODULES_ROOT=/cbrc/modules -HISTCONTROL=ignoredups -KRB5CCNAME=KEYRING:persistent:153804 -SHLVL=3 -HOME=/home/USER -KAUST_FACILITY=Ibex -LOGNAME=USER -QTLIB=/usr/lib64/qt-3.3/lib -XDG_DATA_DIRS=/home/USER/.local/share/flatpak/exports/share:/var/lib/flatpak/exports/share:/usr/local/share:/usr/share -SSH_CONNECTION=10.109.66.217 38580 10.109.10.133 22 -MODULESHOME=/usr/share/Modules -LESSOPEN=||/usr/bin/lesspipe.sh %s -XDG_RUNTIME_DIR=/run/user/153804 -QT_PLUGIN_PATH=/usr/lib64/kde4/plugins:/usr/lib/kde4/plugins -BASH_FUNC_module()=() { eval `LD_PRELOAD=/usr/lib64/libtcl8.5.so /usr/bin/modulecmd bash $*` -} -LSB Version: :core-4.1-amd64:core-4.1-ia32:core-4.1-noarch:cxx-4.1-amd64:cxx-4.1-noarch:desktop-4.1-amd64:desktop-4.1-noarch:languages-4.1-amd64:languages-4.1-noarch:printing-4.1-amd64:printing-4.1-noarch -Distributor ID: CentOS -Description: CentOS Linux release 7.7.1908 (Core) -Release: 7.7.1908 -Codename: Core -Linux cn110-23-l 3.10.0-1062.9.1.el7.x86_64 #1 SMP Fri Dec 6 15:49:49 UTC 2019 x86_64 x86_64 x86_64 GNU/Linux -Architecture: x86_64 -CPU op-mode(s): 32-bit, 64-bit -Byte Order: Little Endian -CPU(s): 128 -On-line CPU(s) list: 0-127 -Thread(s) per core: 1 -Core(s) per socket: 64 -Socket(s): 2 -NUMA node(s): 2 -Vendor ID: AuthenticAMD -CPU family: 23 -Model: 49 -Model name: AMD EPYC 7702 64-Core Processor -Stepping: 0 -CPU MHz: 2000.000 -CPU max MHz: 2000.0000 -CPU min MHz: 1500.0000 -BogoMIPS: 3999.99 -Virtualization: AMD-V -L1d cache: 32K -L1i cache: 32K -L2 cache: 512K -L3 cache: 16384K -NUMA node0 CPU(s): 0-63 -NUMA node1 CPU(s): 64-127 -Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc art rep_good nopl xtopology nonstop_tsc extd_apicid aperfmperf eagerfpu pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_l2 cpb cat_l3 cdp_l3 hw_pstate sme retpoline_amd ssbd ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 cqm rdt_a rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local clzero irperf xsaveerptr arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif umip overflow_recov succor smca -MemTotal: 528291384 kB -MemFree: 270750912 kB -MemAvailable: 491371260 kB -Buffers: 4192 kB -Cached: 237050620 kB -SwapCached: 0 kB -Active: 14134328 kB -Inactive: 233924152 kB -Active(anon): 13420668 kB -Inactive(anon): 13756268 kB -Active(file): 713660 kB -Inactive(file): 220167884 kB -Unevictable: 1048576 kB -Mlocked: 1048576 kB -SwapTotal: 31457276 kB -SwapFree: 31457276 kB -Dirty: 4 kB -Writeback: 0 kB -AnonPages: 12051180 kB -Mapped: 219972 kB -Shmem: 16173268 kB -Slab: 2511428 kB -SReclaimable: 1135924 kB -SUnreclaim: 1375504 kB -KernelStack: 31520 kB -PageTables: 36764 kB -NFS_Unstable: 0 kB -Bounce: 0 kB -WritebackTmp: 0 kB -CommitLimit: 295602968 kB -Committed_AS: 30872020 kB -VmallocTotal: 34359738367 kB -VmallocUsed: 2968976 kB -VmallocChunk: 34088344040 kB -HardwareCorrupted: 0 kB -AnonHugePages: 11407360 kB -CmaTotal: 0 kB -CmaFree: 0 kB -HugePages_Total: 0 -HugePages_Free: 0 -HugePages_Rsvd: 0 -HugePages_Surp: 0 -Hugepagesize: 2048 kB -DirectMap4k: 939676 kB -DirectMap2M: 16732160 kB -DirectMap1G: 519045120 kB -NAME MAJ:MIN RM SIZE RO TYPE MOUNTPOINT -nvme0n1 259:0 0 1.8T 0 disk -└─nvme0n1p1 259:1 0 1.8T 0 part - ├─vg_datapool-tmp 253:0 0 20G 0 lvm /tmp - ├─vg_datapool-swap 253:1 0 30G 0 lvm [SWAP] - └─vg_datapool-scratch 253:2 0 1.8T 0 lvm /local -H/W path Device Class Description -=================================================== - system Computer -/0 bus Motherboard -/0/0 memory 512GiB System memory -/0/1 processor AMD EPYC 7702 64-Core Processor -/0/2 processor AMD EPYC 7702 64-Core Processor -/0/100 bridge Starship/Matisse Root Complex -/0/100/0.2 generic Starship/Matisse IOMMU -/0/100/7.1 bridge Starship/Matisse Internal PCIe GPP Bridge 0 to bus[E:B] -/0/100/7.1/0 generic Starship/Matisse PCIe Dummy Function -/0/100/7.1/0.2 generic Starship/Matisse PTDMA -/0/100/8.1 bridge Starship/Matisse Internal PCIe GPP Bridge 0 to bus[E:B] -/0/100/8.1/0 generic Starship/Matisse Reserved SPP -/0/100/8.1/0.2 generic Starship/Matisse PTDMA -/0/100/8.1/0.3 bus Starship USB 3.0 Host Controller -/0/100/14 bus FCH SMBus Controller -/0/100/14.3 bridge FCH LPC Bridge -/0/101 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/102 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/103 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/104 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/105 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/106 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/107 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/108 bridge Starship Device 24; Function 0 -/0/109 bridge Starship Device 24; Function 1 -/0/10a bridge Starship Device 24; Function 2 -/0/10b bridge Starship Device 24; Function 3 -/0/10c bridge Starship Device 24; Function 4 -/0/10d bridge Starship Device 24; Function 5 -/0/10e bridge Starship Device 24; Function 6 -/0/10f bridge Starship Device 24; Function 7 -/0/110 bridge Starship Device 24; Function 0 -/0/111 bridge Starship Device 24; Function 1 -/0/112 bridge Starship Device 24; Function 2 -/0/113 bridge Starship Device 24; Function 3 -/0/114 bridge Starship Device 24; Function 4 -/0/115 bridge Starship Device 24; Function 5 -/0/116 bridge Starship Device 24; Function 6 -/0/117 bridge Starship Device 24; Function 7 -/0/118 bridge Starship/Matisse Root Complex -/0/118/0.2 generic Starship/Matisse IOMMU -/0/118/3.2 bridge Starship/Matisse GPP Bridge -/0/118/3.2/0 eth0 network Ethernet Controller 10G X550T -/0/118/3.2/0.1 p2049p2 network Ethernet Controller 10G X550T -/0/118/7.1 bridge Starship/Matisse Internal PCIe GPP Bridge 0 to bus[E:B] -/0/118/7.1/0 generic Starship/Matisse PCIe Dummy Function -/0/118/7.1/0.2 generic Starship/Matisse PTDMA -/0/118/8.1 bridge Starship/Matisse Internal PCIe GPP Bridge 0 to bus[E:B] -/0/118/8.1/0 generic Starship/Matisse Reserved SPP -/0/118/8.1/0.1 generic Starship/Matisse Cryptographic Coprocessor PSPCPP -/0/118/8.1/0.2 generic Starship/Matisse PTDMA -/0/118/8.1/0.3 bus Starship USB 3.0 Host Controller -/0/118/8.2 bridge Starship/Matisse Internal PCIe GPP Bridge 0 to bus[E:B] -/0/118/8.2/0 storage FCH SATA Controller [AHCI mode] -/0/118/8.3 bridge Starship/Matisse Internal PCIe GPP Bridge 0 to bus[E:B] -/0/118/8.3/0 storage FCH SATA Controller [AHCI mode] -/0/119 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/11a bridge Starship/Matisse PCIe Dummy Host Bridge -/0/11b bridge Starship/Matisse PCIe Dummy Host Bridge -/0/11c bridge Starship/Matisse PCIe Dummy Host Bridge -/0/11d bridge Starship/Matisse PCIe Dummy Host Bridge -/0/11e bridge Starship/Matisse PCIe Dummy Host Bridge -/0/11f bridge Starship/Matisse PCIe Dummy Host Bridge -/0/120 bridge Starship/Matisse Root Complex -/0/120/0.2 generic Starship/Matisse IOMMU -/0/120/1.1 bridge Starship/Matisse GPP Bridge -/0/120/1.1/0 ib0 network MT28908 Family [ConnectX-6] -/0/120/7.1 bridge Starship/Matisse Internal PCIe GPP Bridge 0 to bus[E:B] -/0/120/7.1/0 generic Starship/Matisse PCIe Dummy Function -/0/120/7.1/0.2 generic Starship/Matisse PTDMA -/0/120/8.1 bridge Starship/Matisse Internal PCIe GPP Bridge 0 to bus[E:B] -/0/120/8.1/0 generic Starship/Matisse Reserved SPP -/0/120/8.1/0.2 generic Starship/Matisse PTDMA -/0/120/8.2 bridge Starship/Matisse Internal PCIe GPP Bridge 0 to bus[E:B] -/0/120/8.2/0 storage FCH SATA Controller [AHCI mode] -/0/120/8.3 bridge Starship/Matisse Internal PCIe GPP Bridge 0 to bus[E:B] -/0/120/8.3/0 storage FCH SATA Controller [AHCI mode] -/0/121 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/122 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/123 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/124 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/125 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/126 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/127 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/128 bridge Starship/Matisse Root Complex -/0/128/0.2 generic Starship/Matisse IOMMU -/0/128/3.1 bridge Starship/Matisse GPP Bridge -/0/128/3.1/0 bridge AST1150 PCI-to-PCI Bridge -/0/128/3.1/0/0 display ASPEED Graphics Family -/0/128/3.3 bridge Starship/Matisse GPP Bridge -/0/128/3.3/0 storage NVMe Datacenter SSD [3DNAND, Beta Rock Controller] -/0/128/7.1 bridge Starship/Matisse Internal PCIe GPP Bridge 0 to bus[E:B] -/0/128/7.1/0 generic Starship/Matisse PCIe Dummy Function -/0/128/7.1/0.2 generic Starship/Matisse PTDMA -/0/128/8.1 bridge Starship/Matisse Internal PCIe GPP Bridge 0 to bus[E:B] -/0/128/8.1/0 generic Starship/Matisse Reserved SPP -/0/128/8.1/0.2 generic Starship/Matisse PTDMA -/0/129 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/12a bridge Starship/Matisse PCIe Dummy Host Bridge -/0/12b bridge Starship/Matisse PCIe Dummy Host Bridge -/0/12c bridge Starship/Matisse PCIe Dummy Host Bridge -/0/12d bridge Starship/Matisse PCIe Dummy Host Bridge -/0/12e bridge Starship/Matisse PCIe Dummy Host Bridge -/0/12f bridge Starship/Matisse PCIe Dummy Host Bridge -/0/130 bridge Starship/Matisse Root Complex -/0/130/0.2 generic Starship/Matisse IOMMU -/0/130/7.1 bridge Starship/Matisse Internal PCIe GPP Bridge 0 to bus[E:B] -/0/130/7.1/0 generic Starship/Matisse PCIe Dummy Function -/0/130/7.1/0.2 generic Starship/Matisse PTDMA -/0/130/8.1 bridge Starship/Matisse Internal PCIe GPP Bridge 0 to bus[E:B] -/0/130/8.1/0 generic Starship/Matisse Reserved SPP -/0/130/8.1/0.2 generic Starship/Matisse PTDMA -/0/130/8.1/0.3 bus Starship USB 3.0 Host Controller -/0/131 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/132 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/133 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/134 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/135 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/136 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/137 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/138 bridge Starship/Matisse Root Complex -/0/138/0.2 generic Starship/Matisse IOMMU -/0/138/3.1 bridge Starship/Matisse GPP Bridge -/0/138/3.2 bridge Starship/Matisse GPP Bridge -/0/138/3.3 bridge Starship/Matisse GPP Bridge -/0/138/3.4 bridge Starship/Matisse GPP Bridge -/0/138/7.1 bridge Starship/Matisse Internal PCIe GPP Bridge 0 to bus[E:B] -/0/138/7.1/0 generic Starship/Matisse PCIe Dummy Function -/0/138/7.1/0.2 generic Starship/Matisse PTDMA -/0/138/8.1 bridge Starship/Matisse Internal PCIe GPP Bridge 0 to bus[E:B] -/0/138/8.1/0 generic Starship/Matisse Reserved SPP -/0/138/8.1/0.1 generic Starship/Matisse Cryptographic Coprocessor PSPCPP -/0/138/8.1/0.2 generic Starship/Matisse PTDMA -/0/138/8.1/0.3 bus Starship USB 3.0 Host Controller -/0/138/8.2 bridge Starship/Matisse Internal PCIe GPP Bridge 0 to bus[E:B] -/0/138/8.2/0 storage FCH SATA Controller [AHCI mode] -/0/138/8.3 bridge Starship/Matisse Internal PCIe GPP Bridge 0 to bus[E:B] -/0/138/8.3/0 storage FCH SATA Controller [AHCI mode] -/0/139 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/13a bridge Starship/Matisse PCIe Dummy Host Bridge -/0/13b bridge Starship/Matisse PCIe Dummy Host Bridge -/0/13c bridge Starship/Matisse PCIe Dummy Host Bridge -/0/13d bridge Starship/Matisse PCIe Dummy Host Bridge -/0/13e bridge Starship/Matisse PCIe Dummy Host Bridge -/0/13f bridge Starship/Matisse PCIe Dummy Host Bridge -/0/140 bridge Starship/Matisse Root Complex -/0/140/0.2 generic Starship/Matisse IOMMU -/0/140/7.1 bridge Starship/Matisse Internal PCIe GPP Bridge 0 to bus[E:B] -/0/140/7.1/0 generic Starship/Matisse PCIe Dummy Function -/0/140/7.1/0.2 generic Starship/Matisse PTDMA -/0/140/8.1 bridge Starship/Matisse Internal PCIe GPP Bridge 0 to bus[E:B] -/0/140/8.1/0 generic Starship/Matisse Reserved SPP -/0/140/8.1/0.2 generic Starship/Matisse PTDMA -/0/140/8.2 bridge Starship/Matisse Internal PCIe GPP Bridge 0 to bus[E:B] -/0/140/8.2/0 storage FCH SATA Controller [AHCI mode] -/0/140/8.3 bridge Starship/Matisse Internal PCIe GPP Bridge 0 to bus[E:B] -/0/140/8.3/0 storage FCH SATA Controller [AHCI mode] -/0/141 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/142 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/143 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/144 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/145 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/146 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/147 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/148 bridge Starship/Matisse Root Complex -/0/148/0.2 generic Starship/Matisse IOMMU -/0/148/7.1 bridge Starship/Matisse Internal PCIe GPP Bridge 0 to bus[E:B] -/0/148/7.1/0 generic Starship/Matisse PCIe Dummy Function -/0/148/7.1/0.2 generic Starship/Matisse PTDMA -/0/148/8.1 bridge Starship/Matisse Internal PCIe GPP Bridge 0 to bus[E:B] -/0/148/8.1/0 generic Starship/Matisse Reserved SPP -/0/148/8.1/0.2 generic Starship/Matisse PTDMA -/0/149 bridge Starship/Matisse PCIe Dummy Host Bridge -/0/14a bridge Starship/Matisse PCIe Dummy Host Bridge -/0/14b bridge Starship/Matisse PCIe Dummy Host Bridge -/0/14c bridge Starship/Matisse PCIe Dummy Host Bridge -/0/14d bridge Starship/Matisse PCIe Dummy Host Bridge -/0/14e bridge Starship/Matisse PCIe Dummy Host Bridge -/0/14f bridge Starship/Matisse PCIe Dummy Host Bridge -/0/3 system PnP device PNP0c01 -/0/4 system PnP device PNP0b00 -/0/5 system PnP device PNP0c02 -/0/6 communication PnP device PNP0501 -/0/7 communication PnP device PNP0501 -/0/8 system PnP device PNP0c02 diff --git a/sc20-artifacts/sc20-machines-env-info/32-core-crayxc40-output.txt b/sc20-artifacts/sc20-machines-env-info/32-core-crayxc40-output.txt deleted file mode 100644 index e3225cd..0000000 --- a/sc20-artifacts/sc20-machines-env-info/32-core-crayxc40-output.txt +++ /dev/null @@ -1,701 +0,0 @@ -PE_TPSL_64_DEFAULT_GENCOMPILERS_CRAY_x86_64=9.0 -PE_TPSL_DEFAULT_GENCOMPILERS_GNU_x86_skylake=8.2 7.1 -XALT_DIR=/sw/xc40cle7/xalt/1.1.2/sles15.0_gcc8.3.0 -CONDA_SHLVL=1 -PE_TPSL_64_DEFAULT_GENCOMPS_CRAY_haswell=90 -CRAYPAT_ALPS_COMPONENT=/opt/cray/pe/perftools/7.1.3/sbin/pat_alps -LC_ALL=en_US.UTF-8 -LS_COLORS=no=00:fi=00:di=01;34:ln=00;36:pi=40;33:so=01;35:do=01;35:bd=40;33;01:cd=40;33;01:or=41;33;01:ex=00;32:*.cmd=00;32:*.exe=01;32:*.com=01;32:*.bat=01;32:*.btm=01;32:*.dll=01;32:*.tar=00;31:*.tbz=00;31:*.tgz=00;31:*.rpm=00;31:*.deb=00;31:*.arj=00;31:*.taz=00;31:*.lzh=00;31:*.lzma=00;31:*.zip=00;31:*.zoo=00;31:*.z=00;31:*.Z=00;31:*.gz=00;31:*.bz2=00;31:*.tb2=00;31:*.tz2=00;31:*.tbz2=00;31:*.xz=00;31:*.avi=01;35:*.bmp=01;35:*.dl=01;35:*.fli=01;35:*.gif=01;35:*.gl=01;35:*.jpg=01;35:*.jpeg=01;35:*.mkv=01;35:*.mng=01;35:*.mov=01;35:*.mp4=01;35:*.mpg=01;35:*.pcx=01;35:*.pbm=01;35:*.pgm=01;35:*.png=01;35:*.ppm=01;35:*.svg=01;35:*.tga=01;35:*.tif=01;35:*.webm=01;35:*.webp=01;35:*.wmv=01;35:*.xbm=01;35:*.xcf=01;35:*.xpm=01;35:*.aiff=00;32:*.ape=00;32:*.au=00;32:*.flac=00;32:*.m4a=00;32:*.mid=00;32:*.mp3=00;32:*.mpc=00;32:*.ogg=00;32:*.voc=00;32:*.wav=00;32:*.wma=00;32:*.wv=00;32: 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-MODULE_VERSION_STACK=3.2.11.4 -MKLROOT=/opt/intel/compilers_and_libraries_2019.5.281/linux/mkl -PE_TPSL_DEFAULT_GENCOMPS_INTEL_x86_skylake=190 -PE_HDF5_PARALLEL_DEFAULT_VOLATILE_PKGCONFIG_PATH=/opt/cray/pe/hdf5-parallel/1.10.5.2/@PRGENV@/@PE_HDF5_PARALLEL_DEFAULT_GENCOMPS@/lib/pkgconfig -PE_PETSC_DEFAULT_GENCOMPS_INTEL_x86_skylake=190 -ALLINEA_QUEUE_DLL=/opt/cray/pe/mpt/7.7.11/gni/mpich-gnu/8.2/lib/libtvmpich.so.3.0.1 -PE_TPSL_DEFAULT_GENCOMPILERS_CRAYCLANG_x86_64=9.0 -PSTLROOT=/opt/intel/compilers_and_libraries_2019.5.281/linux/pstl -PE_TPSL_64_DEFAULT_GENCOMPILERS_CRAY_haswell=9.0 -XDG_CONFIG_DIRS=/etc/xdg -PE_LIBSCI_DEFAULT_GENCOMPILERS_CRAY_x86_64=9.0 -PE_MPICH_DEFAULT_VOLATILE_PRGENV=PGI GNU CRAYCLANG CRAY -PE_MPICH_TARGET_VAR_nvidia20=-lcudart -PATH=/home/USER/anaconda3/bin:/sw/xc40cle7/darshan/3.1.7/sles15.0_gnu8.3.0/bin:/sw/xc40cle7/xalt/1.1.2/sles15.0_gcc8.3.0/libexec:/sw/xc40cle7/xalt/1.1.2/sles15.0_gcc8.3.0/bin:/opt/cray/elogin/eproxy/2.0.24-7.0.1.1_5.7__g45c478a.ari/bin:/opt/cray/dws/3.0.28-7.0.1.1_6.19__ge55277c.ari/bin:/opt/cray/dws/3.0.28-7.0.1.1_6.19__ge55277c.ari/sbin:/opt/cray/pe/modules/3.2.11.4/bin:/opt/slurm/default/bin:/opt/cray/pe/perftools/7.1.3/bin:/opt/cray/pe/papi/5.7.0.2/bin:/opt/cray/rca/2.2.20-7.0.1.1_4.37__g8e3fb5b.ari/bin:/opt/cray/alps/6.6.57-7.0.1.1_5.5__g1b735148.ari/sbin:/opt/cray/alps/default/bin:/opt/cray/job/2.2.4-7.0.1.1_3.31__g36b56f4.ari/bin:/opt/cray/pe/mpt/7.7.11/gni/bin:/opt/cray/pe/craype/2.6.3/bin:/opt/gcc/8.3.0/bin:/sw/xc40cle7/python/3.8.0/sles15_gnu8.3.0/bin:/opt/intel/compilers_and_libraries_2019.5.281/linux/bin/intel64:/opt/intel/compilers_and_libraries_2019.5.281/linux/bin:/opt/intel/compilers_and_libraries_2019.5.281/linux/mpi/intel64/libfabric/bin:/opt/intel/compilers_and_libraries_2019.5.281/linux/mpi/intel64/bin:/opt/intel/debugger_2019/gdb/intel64/bin:/sw/xc40cle7/cmake/3.13.4/sles15_gcc7.4.1/install/bin:/ibex/scratch/USER/HODLR/deps/cmake/bin:/sw/csi/cmake/3.13.4/el7.5_gnu6.4.0/bin:/sw/csi/intel/2019_u5/compilers_and_libraries/linux/pkg_bin/intel64:/sw/csi/intel/2019_u5/compilers_and_libraries/linux/pkg_bin:/sw/csi/intel/2019_u5/compilers_and_libraries/linux/bin/intel64:/sw/csi/gcc/6.4.0/bin:/usr/lpp/mmfs/bin:/usr/lib64/qt-3.3/bin:/usr/lpp/mmfs/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/slurm/scripts/bin:/opt/puppetlabs/bin:/opt/slurm/cluster/ibex/install/bin:/opt/slurm/scripts/bin:/opt/slurm/scripts/bin:/opt/slurm/cluster/ibex/install/bin:/opt/slurm/scripts/bin:/ibex/scratch/USER/HODLR/deps/cmake/bin:/opt/cray/pe/bin -SLURM_JOB_ID=14661179 -PE_TPSL_64_DEFAULT_VOLATILE_PRGENV=CRAY CRAY64 CRAYCLANG CRAYCLANG64 GNU GNU64 INTEL INTEL64 -TBBROOT=/opt/intel/compilers_and_libraries_2019.5.281/linux/tbb -_LMFILES_=/opt/cray/pe/modulefiles/modules/3.2.11.4:/opt/modulefiles/gcc/8.3.0:/opt/cray/pe/craype/2.6.3/modulefiles/craype-haswell:/opt/cray/pe/craype/2.6.3/modulefiles/craype-network-aries:/opt/cray/pe/modulefiles/craype/2.6.3:/opt/cray/pe/modulefiles/cray-mpich/7.7.11:/opt/modulefiles/slurm/slurm:/opt/cray/ari/modulefiles/dws/3.0.28-7.0.1.1_6.19__ge55277c.ari:/opt/modulefiles/eproxy/2.0.24-7.0.1.1_5.7__g45c478a.ari:/sw/xc40cle7/modulefiles/xalt/1.1.2:/sw/xc40cle7/modulefiles/darshan/3.1.7:/sw/xc40cle7/modulefiles/ksl/ksl:/sw/xc40cle7/modulefiles/cmake/3.13.4:/sw/xc40cle7/modulefiles/intel/19.0.5.281:/sw/xc40cle7/modulefiles/python/3.8.0-cdl:/opt/cray/ari/modulefiles/udreg/2.3.2-7.0.1.1_3.26__g8175d3d.ari:/opt/cray/ari/modulefiles/ugni/6.0.14.0-7.0.1.1_7.29__ge78e5b0.ari:/opt/cray/pe/modulefiles/pmi/5.0.15:/opt/cray/ari/modulefiles/dmapp/7.1.1-7.0.1.1_4.39__g38cf134.ari:/opt/cray/ari/modulefiles/gni-headers/5.0.12.0-7.0.1.1_6.24__g3b1768f.ari:/opt/cray/ari/modulefiles/xpmem/2.2.20-7.0.1.1_4.6__g0475745.ari:/opt/cray/ari/modulefiles/job/2.2.4-7.0.1.1_3.31__g36b56f4.ari:/opt/cray/ari/modulefiles/dvs/2.12_2.2.151-7.0.1.1_5.33__g7eb5e703:/opt/cray/ari/modulefiles/alps/6.6.57-7.0.1.1_5.5__g1b735148.ari:/opt/cray/ari/modulefiles/rca/2.2.20-7.0.1.1_4.37__g8e3fb5b.ari:/opt/cray/pe/modulefiles/atp/2.1.3:/opt/cray/pe/modulefiles/perftools-base/7.1.3:/opt/cray/pe/modulefiles/PrgEnv-gnu/6.0.5 -PE_NETCDF_DEFAULT_FIXED_PRGENV=CRAY CRAYCLANG PGI INTEL -PE_PETSC_DEFAULT_GENCOMPILERS_GNU_haswell=8.2 7.1 -DMAPP_ABORT_ON_ERROR=1 -MODULESHOME=/opt/cray/pe/modules/3.2.11.4 -PKG_CONFIG_PATH=/project/k1205/USER/hwloc/hwloc-1.11.10/install/lib/pkgconfig:/project/k1205/USER/starpu-1.2.6/install/lib/pkgconfig:/opt/intel/compilers_and_libraries_2019.5.281/linux/mkl/bin/pkgconfig:/sw/xc40cle7/darshan/3.1.7/sles15.0_gnu8.3.0/lib/pkgconfig:/opt/cray/dws/3.0.28-7.0.1.1_6.19__ge55277c.ari/lib64/pkgconfig:/opt/slurm/default/lib/pkgconfig:/opt/cray/rca/2.2.20-7.0.1.1_4.37__g8e3fb5b.ari/lib64/pkgconfig:/opt/cray/alps/6.6.57-7.0.1.1_5.5__g1b735148.ari/lib64/pkgconfig:/opt/cray/xpmem/2.2.20-7.0.1.1_4.6__g0475745.ari/lib64/pkgconfig:/opt/cray/gni-headers/5.0.12.0-7.0.1.1_6.24__g3b1768f.ari/lib64/pkgconfig:/opt/cray/dmapp/7.1.1-7.0.1.1_4.39__g38cf134.ari/lib64/pkgconfig:/opt/cray/pe/pmi/5.0.15/lib64/pkgconfig:/opt/cray/ugni/6.0.14.0-7.0.1.1_7.29__ge78e5b0.ari/lib64/pkgconfig:/opt/cray/udreg/2.3.2-7.0.1.1_3.26__g8175d3d.ari/lib64/pkgconfig:/opt/cray/pe/craype/2.6.3/pkg-config:/opt/cray/pe/iobuf/2.0.9/lib/pkgconfig:/opt/cray/pe/fftw/2.1.5.9/lib/pkgconfig:/opt/cray/pe/atp/2.1.3/lib/pkgconfig -CONDA_DEFAULT_ENV=base -INFOPATH=/opt/gcc/8.3.0/snos/share/info:/opt/intel/documentation_2019/en/debugger/gdb-ia/info/ -G_BROKEN_FILENAMES=1 -I_MPI_ROOT=/opt/intel/compilers_and_libraries_2019.5.281/linux/mpi -XALT_ETC_DIR=/sw/xc40cle7/xalt/1.1.2/sles15.0_gcc8.3.0/etc -HISTSIZE=1000 -PE_PETSC_DEFAULT_GENCOMPS_CRAY_sandybridge=90 -CRAYPE_DIR=/opt/cray/pe/craype/2.6.3 -PE_GA_DEFAULT_VOLATILE_PRGENV=GNU -PE_PETSC_DEFAULT_GENCOMPS_CRAY_x86_64=90 -PE_MPICH_GENCOMPS_CRAYCLANG=90 -PE_TRILINOS_DEFAULT_GENCOMPILERS_GNU_x86_64=8.2 7.1 -PE_HDF5_PARALLEL_DEFAULT_REQUIRED_PRODUCTS=PE_MPICH -OFFLOAD_INIT=on_start -PE_MPICH_DIR_CRAYCLANG_DEFAULT64=64 -PE_PETSC_DEFAULT_GENCOMPILERS_GNU_x86_64=8.2 7.1 -PE_PKGCONFIG_DEFAULT_PRODUCTS=PE_TRILINOS:PE_TPSL_64:PE_TPSL:PE_PETSC:PE_PARALLEL_NETCDF:PE_NETCDF_HDF5PARALLEL:PE_NETCDF:PE_MPICH:PE_LIBSCI:PE_HDF5_PARALLEL:PE_HDF5:PE_GA:PE_FFTW2:PE_FFTW -CPU=x86_64 -CRAYPE_VERSION=2.6.3 -CRAY_PMI_POST_LINK_OPTS=-L/opt/cray/pe/pmi/5.0.15/lib64 -CRAY_MPICH_PREFIX=/opt/cray/pe/mpt/7.7.11/gni/mpich-gnu/8.2 -CRAY_GNI_HEADERS_INCLUDE_OPTS=-I/opt/cray/gni-headers/5.0.12.0-7.0.1.1_6.24__g3b1768f.ari/include -CVS_RSH=ssh -LESSOPEN=lessopen.sh %s -CRAYPAT_OPTS_EXECUTABLE=libexec64/opts -PE_TPSL_64_DEFAULT_GENCOMPS_INTEL_x86_64=190 -PE_FFTW_DEFAULT_TARGET_x86_cascadelake=x86_cascadelake -PE_TPSL_DEFAULT_GENCOMPILERS_CRAYCLANG_haswell=9.0 -CRAY_XPMEM_INCLUDE_OPTS=-I/opt/cray/xpmem/2.2.20-7.0.1.1_4.6__g0475745.ari/include -PE_LIBSCI_DEFAULT_GENCOMPILERS_GNU_x86_64=8.1 7.1 -PE_TPSL_64_DEFAULT_GENCOMPILERS_INTEL_x86_skylake=19.0 -BASH_FUNC_module%%=() { eval `/opt/cray/pe/modules/3.2.11.4/bin/modulecmd bash $*` -} -BASH_FUNC_mc%%=() { . /usr/share/mc/mc-wrapper.sh -} -_=/usr/bin/env -++ lsb_release -a -LSB Version: n/a -Distributor ID: SUSE -Description: SUSE Linux Enterprise Server 15 -Release: 15 -Codename: n/a -++ uname -a -Linux cdl3 4.12.14-150.47-default #1 SMP Wed Dec 18 15:05:52 UTC 2019 (8162e25) x86_64 x86_64 x86_64 GNU/Linux -++ lscpu -Architecture: x86_64 -CPU op-mode(s): 32-bit, 64-bit -Byte Order: Little Endian -CPU(s): 16 -On-line CPU(s) list: 0-15 -Thread(s) per core: 1 -Core(s) per socket: 8 -Socket(s): 2 -NUMA node(s): 2 -Vendor ID: GenuineIntel -CPU family: 6 -Model: 62 -Model name: Intel(R) Xeon(R) CPU E5-2650 v2 @ 2.60GHz -Stepping: 4 -CPU MHz: 2599.890 -CPU max MHz: 3400.0000 -CPU min MHz: 1200.0000 -BogoMIPS: 5199.78 -Virtualization: VT-x -L1d cache: 32K -L1i cache: 32K -L2 cache: 256K -L3 cache: 20480K -NUMA node0 CPU(s): 0,2,4,6,8,10,12,14 -NUMA node1 CPU(s): 1,3,5,7,9,11,13,15 -Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm cpuid_fault pti tpr_shadow vnmi flexpriority ept vpid fsgsbase smep erms xsaveopt dtherm ida arat pln pts -++ cat /proc/meminfo -MemTotal: 263695320 kB -MemFree: 58498748 kB -MemAvailable: 219488200 kB -Buffers: 411692 kB -Cached: 158967524 kB -SwapCached: 13168 kB -Active: 30729648 kB -Inactive: 130380272 kB -Active(anon): 913832 kB -Inactive(anon): 1025220 kB -Active(file): 29815816 kB -Inactive(file): 129355052 kB -Unevictable: 10768 kB -Mlocked: 10768 kB -SwapTotal: 134217724 kB -SwapFree: 133829540 kB -Dirty: 5672 kB -Writeback: 3792 kB -AnonPages: 1728172 kB -Mapped: 138608 kB -Shmem: 199044 kB -Slab: 40929156 kB -SReclaimable: 3667076 kB -SUnreclaim: 37262080 kB -KernelStack: 20176 kB -PageTables: 98444 kB -NFS_Unstable: 0 kB -Bounce: 0 kB -WritebackTmp: 0 kB -CommitLimit: 266065384 kB -Committed_AS: 5221708 kB -VmallocTotal: 34359738367 kB -VmallocUsed: 0 kB -VmallocChunk: 0 kB -HardwareCorrupted: 0 kB -AnonHugePages: 1097728 kB -ShmemHugePages: 0 kB -ShmemPmdMapped: 0 kB -HugePages_Total: 0 -HugePages_Free: 0 -HugePages_Rsvd: 0 -HugePages_Surp: 0 -Hugepagesize: 2048 kB -DirectMap4k: 157473728 kB -DirectMap2M: 107769856 kB -DirectMap1G: 5242880 kB -++ inxi -F -c0 -++ export TEXTDOMAINDIR=/usr/share/locale -++ TEXTDOMAINDIR=/usr/share/locale -++ export TEXTDOMAIN=command-not-found -++ TEXTDOMAIN=command-not-found -++ local cmd state rest -++ local -i pid ppid pgrp session tty_nr tpgid -++ test -n '' -o '!' -t 1 -++ read pid cmd state ppid pgrp session tty_nr tpgid rest -++ test 4905 -eq 5063 -++ test -x /usr/sbin/inxi -o -x /sbin/inxi -++ test -n '' -++ echo -e 'If '\''inxi'\'' is not a typo you can use command-not-found to lookup the package that contains it, like this: - cnf inxi' -If 'inxi' is not a typo you can use command-not-found to lookup the package that contains it, like this: - cnf inxi -++ return 127 -++ lsblk -a -NAME MAJ:MIN RM SIZE RO TYPE MOUNTPOINT -loop0 7:0 0 1.9G 0 loop -loop1 7:1 0 1 loop -loop2 7:2 0 1 loop -loop3 7:3 0 1 loop -loop4 7:4 0 1 loop -loop5 7:5 0 1 loop -loop6 7:6 0 1 loop -loop7 7:7 0 1 loop -loop8 7:8 0 1 loop -loop9 7:9 0 1 loop -loop10 7:10 0 1 loop -loop11 7:11 0 1 loop -loop12 7:12 0 1 loop -loop13 7:13 0 1 loop -loop14 7:14 0 1 loop -loop15 7:15 0 1 loop -loop16 7:16 0 1 loop -loop17 7:17 0 1 loop -loop18 7:18 0 1 loop -loop19 7:19 0 1 loop -loop20 7:20 0 1 loop -loop21 7:21 0 1 loop -loop22 7:22 0 1 loop -loop23 7:23 0 1 loop -loop24 7:24 0 1 loop -loop25 7:25 0 1 loop -loop26 7:26 0 1 loop -loop27 7:27 0 1 loop -loop28 7:28 0 1 loop -loop29 7:29 0 1 loop -loop30 7:30 0 1 loop -loop31 7:31 0 1 loop -loop32 7:32 0 1 loop -loop33 7:33 0 1 loop -loop34 7:34 0 1 loop -loop35 7:35 0 1 loop -loop36 7:36 0 1 loop -loop37 7:37 0 1 loop -loop38 7:38 0 1 loop -loop39 7:39 0 1 loop -loop40 7:40 0 1 loop -loop41 7:41 0 1 loop -loop42 7:42 0 1 loop -loop43 7:43 0 1 loop -loop44 7:44 0 1 loop -loop45 7:45 0 1 loop -loop46 7:46 0 1 loop -loop47 7:47 0 1 loop -loop48 7:48 0 1 loop -loop49 7:49 0 1 loop -loop50 7:50 0 1 loop -loop51 7:51 0 1 loop -loop52 7:52 0 1 loop -loop53 7:53 0 1 loop -loop54 7:54 0 1 loop -loop55 7:55 0 1 loop -loop56 7:56 0 1 loop -loop57 7:57 0 1 loop -loop58 7:58 0 1 loop -loop59 7:59 0 1 loop -loop60 7:60 0 1 loop -loop61 7:61 0 1 loop -loop62 7:62 0 1 loop -loop63 7:63 0 1 loop -loop64 7:64 0 1 loop -loop65 7:65 0 1 loop -loop66 7:66 0 1 loop -loop67 7:67 0 1 loop -loop68 7:68 0 1 loop -loop69 7:69 0 1 loop -loop70 7:70 0 1 loop -loop71 7:71 0 1 loop -loop72 7:72 0 1 loop -loop73 7:73 0 1 loop -loop74 7:74 0 1 loop -loop75 7:75 0 1 loop -loop76 7:76 0 1 loop -loop77 7:77 0 1 loop -loop78 7:78 0 1 loop -loop79 7:79 0 1 loop -loop80 7:80 0 1 loop -loop81 7:81 0 1 loop -loop82 7:82 0 1 loop -loop83 7:83 0 1 loop -loop84 7:84 0 1 loop -loop85 7:85 0 1 loop -loop86 7:86 0 1 loop -loop87 7:87 0 1 loop -loop88 7:88 0 1 loop -loop89 7:89 0 1 loop -loop90 7:90 0 1 loop -loop91 7:91 0 1 loop -sda 8:0 0 700G 0 disk -├─sda1 8:1 0 1007K 0 part -├─sda2 8:2 0 2G 0 part /boot -├─sda3 8:3 0 20G 0 part -├─sda4 8:4 0 256G 0 part /tmp -└─sda5 8:5 0 128G 0 part [SWAP] -sdb 8:16 0 975.5G 0 disk -├─sdb1 8:17 0 10G 0 part /var/crash -└─sdb2 8:18 0 965.5G 0 part /var/opt/cray/persistent -sr0 11:0 1 1024M 0 rom -++ lsscsi -s -[0:2:0:0] disk DELL PERC H310 2.12 /dev/sda 751GB -[0:2:1:0] disk DELL PERC H310 2.12 /dev/sdb 1.04TB -[5:0:0:0] cd/dvd PLDS DVD+-RW DS-8ABSH AD51 /dev/sr0 - -++ module list -+++ /opt/cray/pe/modules/3.2.11.4/bin/modulecmd bash list -Currently Loaded Modulefiles: - 1) modules/3.2.11.4 11) darshan/3.1.7 21) xpmem/2.2.20-7.0.1.1_4.6__g0475745.ari - 2) gcc/8.3.0 12) ksl/ksl 22) job/2.2.4-7.0.1.1_3.31__g36b56f4.ari - 3) craype-haswell 13) cmake/3.13.4 23) dvs/2.12_2.2.151-7.0.1.1_5.33__g7eb5e703 - 4) craype-network-aries 14) intel/19.0.5.281 24) alps/6.6.57-7.0.1.1_5.5__g1b735148.ari - 5) craype/2.6.3 15) python/3.8.0-cdl 25) rca/2.2.20-7.0.1.1_4.37__g8e3fb5b.ari - 6) cray-mpich/7.7.11 16) udreg/2.3.2-7.0.1.1_3.26__g8175d3d.ari 26) atp/2.1.3 - 7) slurm/slurm 17) ugni/6.0.14.0-7.0.1.1_7.29__ge78e5b0.ari 27) perftools-base/7.1.3 - 8) dws/3.0.28-7.0.1.1_6.19__ge55277c.ari 18) pmi/5.0.15 28) PrgEnv-gnu/6.0.5 - 9) eproxy/2.0.24-7.0.1.1_5.7__g45c478a.ari 19) dmapp/7.1.1-7.0.1.1_4.39__g38cf134.ari - 10) xalt/1.1.2 20) gni-headers/5.0.12.0-7.0.1.1_6.24__g3b1768f.ari -++ eval -++ nvidia-smi -++ export TEXTDOMAINDIR=/usr/share/locale -++ TEXTDOMAINDIR=/usr/share/locale -++ export TEXTDOMAIN=command-not-found -++ TEXTDOMAIN=command-not-found -++ local cmd state rest -++ local -i pid ppid pgrp session tty_nr tpgid -++ test -n '' -o '!' -t 1 -++ read pid cmd state ppid pgrp session tty_nr tpgid rest -++ test 4905 -eq 5068 -++ test -x /usr/sbin/nvidia-smi -o -x /sbin/nvidia-smi -++ test -n '' -++ echo -e 'If '\''nvidia-smi'\'' is not a typo you can use command-not-found to lookup the package that contains it, like this: - cnf nvidia-smi' -If 'nvidia-smi' is not a typo you can use command-not-found to lookup the package that contains it, like this: - cnf nvidia-smi -++ return 127 -++ cat -++ lshw -short -quiet -sanitize -++ export TEXTDOMAINDIR=/usr/share/locale -++ TEXTDOMAINDIR=/usr/share/locale -++ export TEXTDOMAIN=command-not-found -++ TEXTDOMAIN=command-not-found -++ local cmd state rest -++ local -i pid ppid pgrp session tty_nr tpgid -++ test -n '' -o '!' -t 1 -++ echo 'lshw: command not found' -lshw: command not found -++ return 127 -++ lspci -++ export TEXTDOMAINDIR=/usr/share/locale -++ TEXTDOMAINDIR=/usr/share/locale -++ export TEXTDOMAIN=command-not-found -++ TEXTDOMAIN=command-not-found -++ local cmd state rest -++ local -i pid ppid pgrp session tty_nr tpgid -++ test -n '' -o '!' -t 1 -++ echo 'lspci: command not found' -lspci: command not found diff --git a/sc20-artifacts/sc20-machines-env-info/40-core-skylake-v100-output.txt b/sc20-artifacts/sc20-machines-env-info/40-core-skylake-v100-output.txt deleted file mode 100644 index 44ba502..0000000 --- a/sc20-artifacts/sc20-machines-env-info/40-core-skylake-v100-output.txt +++ /dev/null @@ -1,491 +0,0 @@ -BRARY_PATH=/opt/ecrc/netcdf/4.5.0-gcc-5.5.0/ub16/lib:/opt/ecrc/hdf5/1.10.1-gcc-5.5.0/ub16/lib:/opt/ecrc/nlopt/2.4.2-gcc-5.5.0/ub16/lib:/opt/ecrc/gsl/2.4-gcc-5.5.0/ub16/lib:/opt/ecrc/starpu/1.2.4-gcc-5.5.0-cuda-9.0-openblas-openmpi-3.0.0/ub16/lib:/opt/ecrc/hwloc/1.11.8-gcc-5.5.0/ub16/lib:/opt/ecrc/cmake/3.9.6/ub16/lib:/opt/ecrc/mkl/2018-initial/mkl/lib/intel64:/opt/ecrc/mkl/2018-initial/lib/intel64:/opt/ecrc/magma/2.3.0-gcc-5.5.0-openblas-cuda-9.0/ub16/lib:/opt/ecrc/cuda/9.0/lib64:/opt/ecrc/cuda/9.0/lib:/opt/ecrc/openblas/0.2.20-gcc-5.5.0/ub16/lib:/opt/ecrc/gcc/5.5.0/ub16/lib64:/opt/ecrc/gcc/5.5.0/ub16/lib/gcc/x86_64-linux-gnu/5.5.0 -_MKLROOT_=/opt/ecrc/mkl/2018-initial/mkl -LESSOPEN=| /usr/bin/lesspipe %s -HDF5_ROOT=/opt/ecrc/hdf5/1.10.1-gcc-5.5.0/ub16 -MAIL=/var/mail/USER -SSH_CLIENT=10.68.58.183 38148 22 -USER=USER -HWLOC_ROOT=/opt/ecrc/hwloc/1.11.8-gcc-5.5.0/ub16 -LC_TIME=ar_SA.UTF-8 -SPACK_SW_ROOT=/sw -ECRC_DISTRO=ub16 -STARPU_ROOT=/opt/ecrc/starpu/1.2.4-gcc-5.5.0-cuda-9.0-openblas-openmpi-3.0.0/ub16 -_ECRCEXTRA_=1 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-NLOPT_ROOT=/opt/ecrc/nlopt/2.4.2-gcc-5.5.0/ub16 -NETCDF_ROOT=/opt/ecrc/netcdf/4.5.0-gcc-5.5.0/ub16 -CC=/opt/ecrc/gcc/5.5.0/ub16/bin/gcc -MANPATH=/opt/ecrc/nlopt/2.4.2-gcc-5.5.0/ub16/share/man:/opt/ecrc/gsl/2.4-gcc-5.5.0/ub16/share/man:/opt/ecrc/hwloc/1.11.8-gcc-5.5.0/ub16/share/man:/opt/ecrc/cmake/3.9.6/ub16/man:/opt/ecrc/mkl/2018-initial/man/en_US:/opt/ecrc/cuda/9.0/doc/man:/opt/ecrc/gcc/5.5.0/ub16/share/man:/usr/share/man -CUDA_DIR=/opt/ecrc/cuda/9.0 -MODULEPATH=/home/USER/local/modulefiles:/opt/ecrc/modules/sets:/opt/ecrc/modules/applications-extra:/opt/ecrc/modules/libs-extra:/opt/ecrc/modules/compilers-extra::/sw/workstations/modules/linux-ubuntu16.04-x86_64:/opt/share/modules/applications:/opt/share/modules/libs:/opt/share/modules/compilers:/opt/share/modules/sets -EDITOR=vim -MODULESHOME=/usr/share/modules -LSB Version: core-9.20160110ubuntu0.2-amd64:core-9.20160110ubuntu0.2-noarch:security-9.20160110ubuntu0.2-amd64:security-9.20160110ubuntu0.2-noarch -Distributor ID: Ubuntu 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ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch epb invpcid_single intel_pt ssbd ibrs ibpb stibp kaiser tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm mpx avx512f rdseed adx smap clflushopt clwb avx512cd xsaveopt xsavec xgetbv1 cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts pku md_clear flush_l1d -MemTotal: 394873016 kB -MemFree: 387636124 kB -MemAvailable: 391188584 kB -Buffers: 1612488 kB -Cached: 3112608 kB -SwapCached: 10616 kB -Active: 3016732 kB -Inactive: 1743748 kB -Active(anon): 88992 kB -Inactive(anon): 656828 kB -Active(file): 2927740 kB -Inactive(file): 1086920 kB -Unevictable: 3684 kB -Mlocked: 3684 kB -SwapTotal: 32223228 kB -SwapFree: 30699984 kB -Dirty: 16092 kB -Writeback: 0 kB -AnonPages: 35192 kB -Mapped: 131828 kB -Shmem: 708012 kB -Slab: 971688 kB -SReclaimable: 675944 kB -SUnreclaim: 295744 kB -KernelStack: 15632 kB -PageTables: 5636 kB -NFS_Unstable: 0 kB -Bounce: 0 kB -WritebackTmp: 0 kB -CommitLimit: 229659736 kB -Committed_AS: 2691956 kB -VmallocTotal: 34359738367 kB -VmallocUsed: 0 kB -VmallocChunk: 0 kB -HardwareCorrupted: 0 kB -AnonHugePages: 0 kB -CmaTotal: 0 kB -CmaFree: 0 kB -HugePages_Total: 0 -HugePages_Free: 0 -HugePages_Rsvd: 0 -HugePages_Surp: 0 -Hugepagesize: 2048 kB -DirectMap4k: 9733704 kB -DirectMap2M: 382087168 kB -DirectMap1G: 11534336 kB -NAME MAJ:MIN RM SIZE RO TYPE MOUNTPOINT -sda 8:0 0 894.3G 0 disk -├─sda1 8:1 0 731M 0 part /boot -├─sda2 8:2 0 1K 0 part -└─sda5 8:5 0 893.6G 0 part - ├─vulture--vg-lv--root 252:0 0 391.2G 0 lvm / - ├─vulture--vg-lv--swap 252:1 0 30.7G 0 lvm [SWAP] - └─vulture--vg-lv--tmp 252:3 0 279.4G 0 lvm /tmp -sdb 8:16 0 1.8T 0 disk -└─sdb1 8:17 0 1.8T 0 part - └─vg--data-lv--home 252:2 0 1.4T 0 lvm /home -loop0 7:0 0 0 loop -loop1 7:1 0 0 loop -loop2 7:2 0 0 loop -loop3 7:3 0 0 loop -loop4 7:4 0 0 loop -loop5 7:5 0 0 loop -loop6 7:6 0 0 loop -loop7 7:7 0 0 loop -Thu Apr 23 11:57:03 2020 -+-----------------------------------------------------------------------------+ -| NVIDIA-SMI 440.33.01 Driver Version: 440.33.01 CUDA Version: 10.2 | -|-------------------------------+----------------------+----------------------+ -| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | -| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | -|===============================+======================+======================| -| 0 Tesla V100-PCIE... On | 00000000:3B:00.0 Off | 0 | -| N/A 36C P0 28W / 250W | 0MiB / 16160MiB | 0% Default | -+-------------------------------+----------------------+----------------------+ -| 1 Tesla V100-PCIE... On | 00000000:AF:00.0 Off | 0 | -| N/A 39C P0 24W / 250W | 0MiB / 16160MiB | 0% Default | -+-------------------------------+----------------------+----------------------+ - -+-----------------------------------------------------------------------------+ -| Processes: GPU Memory | -| GPU PID Type Process name Usage | -|=============================================================================| -| No running processes found | -+-----------------------------------------------------------------------------+ -H/W path Device Class Description -===================================================== - system Computer -/0 bus Motherboard -/0/0 memory 376GiB System memory -/0/1 processor Intel(R) Xeon(R) Gold 6148 CPU @ 2.40GHz -/0/2 processor Intel(R) Xeon(R) Gold 6148 CPU @ 2.40GHz -/0/100 bridge Sky Lake-E DMI3 Registers -/0/100/4 generic Sky Lake-E CBDMA Registers -/0/100/4.1 generic Sky Lake-E CBDMA Registers -/0/100/4.2 generic Sky Lake-E CBDMA Registers -/0/100/4.3 generic Sky Lake-E CBDMA Registers -/0/100/4.4 generic Sky Lake-E CBDMA Registers -/0/100/4.5 generic Sky Lake-E CBDMA Registers -/0/100/4.6 generic Sky Lake-E CBDMA Registers -/0/100/4.7 generic Sky Lake-E CBDMA Registers -/0/100/5 generic Sky Lake-E MM/Vt-d Configuration Registers -/0/100/5.2 generic Intel Corporation -/0/100/5.4 generic Intel Corporation -/0/100/8 generic Sky Lake-E Ubox Registers -/0/100/8.1 generic Sky Lake-E Ubox Registers -/0/100/8.2 generic Sky Lake-E Ubox Registers -/0/100/11 generic C620 Series Chipset Family MROM 0 -/0/100/11.1 generic C620 Series Chipset Family MROM 1 -/0/100/11.5 storage C620 Series Chipset Family SSATA Controller [AHCI mode] -/0/100/14 bus C620 Series Chipset Family USB 3.0 xHCI Controller -/0/100/14.2 generic C620 Series Chipset Family Thermal Subsystem -/0/100/16 communication C620 Series Chipset Family MEI Controller #1 -/0/100/16.1 communication C620 Series Chipset Family MEI Controller #2 -/0/100/16.4 communication C620 Series Chipset Family MEI Controller #3 -/0/100/17 storage C620 Series Chipset Family SATA Controller [AHCI mode] -/0/100/1c bridge C620 Series Chipset Family PCI Express Root Port #1 -/0/100/1c/0 enp1s0f0 network Ethernet Controller 10-Gigabit X540-AT2 -/0/100/1c/0.1 enp1s0f1 network Ethernet Controller 10-Gigabit X540-AT2 -/0/100/1c.5 bridge C620 Series Chipset Family PCI Express Root Port #6 -/0/100/1c.5/0 bridge AST1150 PCI-to-PCI Bridge -/0/100/1c.5/0/0 display ASPEED Graphics Family -/0/100/1f bridge C621 Series Chipset LPC/eSPI Controller -/0/100/1f.2 memory Memory controller -/0/100/1f.4 bus C620 Series Chipset Family SMBus -/0/100/1f.5 bus C620 Series Chipset Family SPI Controller -/0/3 generic Intel Corporation -/0/6 generic Sky Lake-E RAS Configuration Registers -/0/7 generic Intel Corporation -/0/9 generic Sky Lake-E CHA Registers -/0/a generic Sky Lake-E CHA Registers -/0/b generic Sky Lake-E CHA Registers -/0/c generic Sky Lake-E CHA Registers -/0/d generic Sky Lake-E CHA Registers -/0/e generic Sky Lake-E CHA Registers -/0/f generic Sky Lake-E CHA Registers -/0/10 generic Sky Lake-E CHA Registers -/0/11 generic Sky Lake-E CHA Registers -/0/12 generic Sky Lake-E CHA Registers -/0/13 generic Sky Lake-E CHA Registers -/0/14 generic Sky Lake-E CHA Registers -/0/15 generic Sky Lake-E CHA Registers -/0/16 generic Sky Lake-E CHA Registers -/0/17 generic Sky Lake-E CHA Registers -/0/18 generic Sky Lake-E CHA Registers -/0/19 generic Sky Lake-E CHA Registers -/0/1a generic Sky Lake-E CHA Registers -/0/1b generic Sky Lake-E CHA Registers -/0/1c generic Sky Lake-E CHA Registers -/0/1d generic Sky Lake-E CHA Registers -/0/1e generic Sky Lake-E CHA Registers -/0/1f generic Sky Lake-E CHA Registers -/0/20 generic Sky Lake-E CHA Registers -/0/21 generic Sky Lake-E CHA Registers -/0/22 generic Sky Lake-E CHA Registers -/0/23 generic Sky Lake-E CHA Registers -/0/24 generic Sky Lake-E CHA Registers -/0/25 generic Sky Lake-E CHA Registers -/0/26 generic Sky Lake-E CHA Registers -/0/27 generic Sky Lake-E CHA Registers -/0/28 generic Sky Lake-E CHA Registers -/0/29 generic Sky Lake-E CHA Registers -/0/2a generic Sky Lake-E CHA Registers -/0/2b generic Sky Lake-E CHA Registers -/0/2c generic Sky Lake-E CHA Registers -/0/2d generic Sky Lake-E CHA Registers -/0/2e generic Sky Lake-E CHA Registers -/0/2f generic Sky Lake-E CHA Registers -/0/30 generic Sky Lake-E CHA Registers -/0/31 generic Sky Lake-E CHA Registers -/0/32 generic Sky Lake-E CHA Registers -/0/33 generic Sky Lake-E CHA Registers -/0/34 generic Sky Lake-E CHA Registers -/0/35 generic Sky Lake-E CHA Registers -/0/36 generic Sky Lake-E CHA Registers -/0/37 generic Sky Lake-E CHA Registers -/0/38 generic Sky Lake-E CHA Registers -/0/39 generic Sky Lake-E CHA Registers -/0/3a generic Sky Lake-E CHA Registers -/0/3b generic Sky Lake-E CHA Registers -/0/3c generic Sky Lake-E CHA Registers -/0/3d generic Sky Lake-E CHA Registers -/0/3e generic Sky Lake-E CHA Registers -/0/3f generic Sky Lake-E CHA Registers -/0/40 generic Sky Lake-E CHA Registers -/0/41 generic Sky Lake-E CHA Registers -/0/42 generic Sky Lake-E CHA Registers -/0/43 generic Sky Lake-E CHA Registers -/0/44 generic Sky Lake-E CHA Registers -/0/45 generic Sky Lake-E PCU Registers -/0/46 generic Sky Lake-E PCU Registers -/0/47 generic Sky Lake-E PCU Registers -/0/48 generic Sky Lake-E PCU Registers -/0/49 generic Sky Lake-E PCU Registers -/0/4a generic Sky Lake-E PCU Registers -/0/4b generic Sky Lake-E PCU Registers -/0/101 bridge Sky Lake-E PCI Express Root Port A -/0/101/0 display GV100GL [Tesla V100 PCIe 16GB] -/0/4c generic Intel Corporation -/0/4d generic Sky Lake-E RAS Configuration Registers -/0/4e generic Intel Corporation -/0/4f generic Intel Corporation -/0/50 generic Intel Corporation -/0/51 generic Intel Corporation -/0/52 generic Intel Corporation -/0/53 generic Intel Corporation -/0/54 generic Intel Corporation -/0/55 generic Intel Corporation -/0/56 generic Intel Corporation -/0/57 generic Intel Corporation -/0/58 generic Intel Corporation -/0/59 generic Intel Corporation -/0/5a generic Intel Corporation -/0/5b generic Intel Corporation -/0/5c generic Intel Corporation -/0/5d generic Intel Corporation -/0/5e generic Intel Corporation -/0/5f generic Intel Corporation -/0/60 generic Intel Corporation -/0/61 generic Intel Corporation -/0/62 generic Intel Corporation -/0/63 generic Intel Corporation -/0/64 generic Intel Corporation -/0/65 generic Intel Corporation -/0/66 generic Intel Corporation -/0/67 generic Intel Corporation -/0/68 generic Intel Corporation -/0/69 generic Intel Corporation -/0/6a generic Sky Lake-E RAS Configuration Registers -/0/6b generic Intel Corporation -/0/6c generic Intel Corporation -/0/6d generic Intel Corporation -/0/6e generic Intel Corporation -/0/6f generic Intel Corporation -/0/70 generic Intel Corporation -/0/71 generic Intel Corporation -/0/72 generic Sky Lake-E M3KTI Registers -/0/73 generic Sky Lake-E M3KTI Registers -/0/74 generic Sky Lake-E M3KTI Registers -/0/75 generic Sky Lake-E M3KTI Registers -/0/76 generic Sky Lake-E M3KTI Registers -/0/77 generic Sky Lake-E M2PCI Registers -/0/78 generic Sky Lake-E M2PCI Registers -/0/79 generic Sky Lake-E M2PCI Registers -/0/7a generic Sky Lake-E M2PCI Registers -/0/4 generic Sky Lake-E CBDMA Registers -/0/4.1 generic Sky Lake-E CBDMA Registers -/0/4.2 generic Sky Lake-E CBDMA Registers -/0/4.3 generic Sky Lake-E CBDMA Registers -/0/4.4 generic Sky Lake-E CBDMA Registers -/0/4.5 generic Sky Lake-E CBDMA Registers -/0/4.6 generic Sky Lake-E CBDMA Registers -/0/4.7 generic Sky Lake-E CBDMA Registers -/0/7b generic Sky Lake-E MM/Vt-d Configuration Registers -/0/7c generic Intel Corporation -/0/7d generic Intel Corporation -/0/7e generic Sky Lake-E Ubox Registers -/0/7f generic Sky Lake-E Ubox Registers -/0/80 generic Sky Lake-E Ubox Registers -/0/81 generic Intel Corporation -/0/82 generic Sky Lake-E RAS Configuration Registers -/0/83 generic Intel Corporation -/0/84 generic Sky Lake-E CHA Registers -/0/8.1 generic Sky Lake-E CHA Registers -/0/8.2 generic Sky Lake-E CHA Registers -/0/85 generic Sky Lake-E CHA Registers -/0/86 generic Sky Lake-E CHA Registers -/0/87 generic Sky Lake-E CHA Registers -/0/88 generic Sky Lake-E CHA Registers -/0/89 generic Sky Lake-E CHA Registers -/0/8a generic Sky Lake-E CHA Registers -/0/8b generic Sky Lake-E CHA Registers -/0/8c generic Sky Lake-E CHA Registers -/0/8d generic Sky Lake-E CHA Registers -/0/8e generic Sky Lake-E CHA Registers -/0/8f generic Sky Lake-E CHA Registers -/0/90 generic Sky Lake-E CHA Registers -/0/91 generic Sky Lake-E CHA Registers -/0/92 generic Sky Lake-E CHA Registers -/0/93 generic Sky Lake-E CHA Registers -/0/94 generic Sky Lake-E CHA Registers -/0/95 generic Sky Lake-E CHA Registers -/0/96 generic Sky Lake-E CHA Registers -/0/97 generic Sky Lake-E CHA Registers -/0/98 generic Sky Lake-E CHA Registers -/0/99 generic Sky Lake-E CHA Registers -/0/9a generic Sky Lake-E CHA Registers -/0/9b generic Sky Lake-E CHA Registers -/0/9c generic Sky Lake-E CHA Registers -/0/9d generic Sky Lake-E CHA Registers -/0/9e generic Sky Lake-E CHA Registers -/0/9f generic Sky Lake-E CHA Registers -/0/a0 generic Sky Lake-E CHA Registers -/0/a1 generic Sky Lake-E CHA Registers -/0/a2 generic Sky Lake-E CHA Registers -/0/a3 generic Sky Lake-E CHA Registers -/0/a4 generic Sky Lake-E CHA Registers -/0/a5 generic Sky Lake-E CHA Registers -/0/a6 generic Sky Lake-E CHA Registers -/0/a7 generic Sky Lake-E CHA Registers -/0/a8 generic Sky Lake-E CHA Registers -/0/a9 generic Sky Lake-E CHA Registers -/0/aa generic Sky Lake-E CHA Registers -/0/ab generic Sky Lake-E CHA Registers -/0/ac generic Sky Lake-E CHA Registers -/0/ad generic Sky Lake-E CHA Registers -/0/ae generic Sky Lake-E CHA Registers -/0/af generic Sky Lake-E CHA Registers -/0/b0 generic Sky Lake-E CHA Registers -/0/b1 generic Sky Lake-E CHA Registers -/0/b2 generic Sky Lake-E CHA Registers -/0/b3 generic Sky Lake-E CHA Registers -/0/b4 generic Sky Lake-E CHA Registers -/0/b5 generic Sky Lake-E CHA Registers -/0/b6 generic Sky Lake-E CHA Registers -/0/b7 generic Sky Lake-E CHA Registers -/0/b8 generic Sky Lake-E CHA Registers -/0/b9 generic Sky Lake-E CHA Registers -/0/ba generic Sky Lake-E CHA Registers -/0/bb generic Sky Lake-E CHA Registers -/0/bc generic Sky Lake-E CHA Registers -/0/bd generic Sky Lake-E CHA Registers -/0/be generic Sky Lake-E PCU Registers -/0/bf generic Sky Lake-E PCU Registers -/0/c0 generic Sky Lake-E PCU Registers -/0/c1 generic Sky Lake-E PCU Registers -/0/c2 generic Sky Lake-E PCU Registers -/0/c3 generic Sky Lake-E PCU Registers -/0/c4 generic Sky Lake-E PCU Registers -/0/102 bridge Sky Lake-E PCI Express Root Port A -/0/102/0 display GV100GL [Tesla V100 PCIe 16GB] -/0/c5 generic Intel Corporation -/0/c6 generic Sky Lake-E RAS Configuration Registers -/0/c7 generic Intel Corporation -/0/8 generic Intel Corporation -/0/c8 generic Intel Corporation -/0/c9 generic Intel Corporation -/0/ca generic Intel Corporation -/0/cb generic Intel Corporation -/0/cc generic Intel Corporation -/0/cd generic Intel Corporation -/0/ce generic Intel Corporation -/0/cf generic Intel Corporation -/0/d0 generic Intel Corporation -/0/d1 generic Intel Corporation -/0/d2 generic Intel Corporation -/0/d3 generic Intel Corporation -/0/d4 generic Intel Corporation -/0/d5 generic Intel Corporation -/0/d6 generic Intel Corporation -/0/d7 generic Intel Corporation -/0/d8 generic Intel Corporation -/0/d9 generic Intel Corporation -/0/da generic Intel Corporation -/0/db generic Intel Corporation -/0/dc generic Intel Corporation -/0/dd generic Intel Corporation -/0/de generic Intel Corporation -/0/df generic Intel Corporation -/0/e0 generic Intel Corporation -/0/5 generic Intel Corporation -/0/5.2 generic Sky Lake-E RAS Configuration Registers -/0/5.4 generic Intel Corporation -/0/e1 generic Intel Corporation -/0/e2 generic Intel Corporation -/0/e3 generic Intel Corporation -/0/e4 generic Intel Corporation -/0/e5 generic Intel Corporation -/0/e6 generic Intel Corporation -/0/e7 generic Sky Lake-E M3KTI Registers -/0/e8 generic Sky Lake-E M3KTI Registers -/0/e9 generic Sky Lake-E M3KTI Registers -/0/ea generic Sky Lake-E M3KTI Registers -/0/eb generic Sky Lake-E M3KTI Registers -/0/ec generic Sky Lake-E M2PCI Registers -/0/ed generic Sky Lake-E M2PCI Registers -/0/ee generic Sky Lake-E M2PCI Registers -/0/ef generic Sky Lake-E M2PCI Registers diff --git a/sc20-artifacts/sc20-machines-env-info/56-core-skylake-output.txt b/sc20-artifacts/sc20-machines-env-info/56-core-skylake-output.txt deleted file mode 100644 index 4c452f4..0000000 --- a/sc20-artifacts/sc20-machines-env-info/56-core-skylake-output.txt +++ /dev/null @@ -1,475 +0,0 @@ -BRARY_PATH=/opt/ecrc/starpu/1.2.6-gcc-5.5.0-mkl-openmpi-3.0.0/ub16/lib:/opt/ecrc/hwloc/2.0.3-gcc-5.5.0/ub16/lib:/opt/ecrc/cmake/3.9.6/ub16/lib:/opt/ecrc/gcc/5.5.0/ub16/lib64:/opt/ecrc/gcc/5.5.0/ub16/lib/gcc/x86_64-linux-gnu/5.5.0:/opt/ecrc/mkl/2020.0.166/mkl/lib/intel64:/opt/ecrc/mkl/2020.0.166/lib/intel64 -LESSOPEN=| /usr/bin/lesspipe %s -MAIL=/var/mail/USER -SSH_CLIENT=10.68.58.183 40350 22 -USER=USER -HWLOC_ROOT=/opt/ecrc/hwloc/2.0.3-gcc-5.5.0/ub16 -LC_TIME=ar_SA.UTF-8 -SPACK_SW_ROOT=/sw -ECRC_DISTRO=ub16 -STARPU_ROOT=/opt/ecrc/starpu/1.2.6-gcc-5.5.0-mkl-openmpi-3.0.0/ub16 -_ECRCEXTRA_=1 -LD_LIBRARY_PATH=/home/USER/codes/gsl-2.4/gsl_install/lib:/home/USER/develop/stars-h/build/installdir/lib:/home/USER/develop/hicma/build/installdir/lib:/home/USER/develop/hicma/chameleon/build/installdir/lib:/starpu_install/lib:/opt/ecrc/starpu/1.2.6-gcc-5.5.0-mkl-openmpi-3.0.0/ub16/lib:/opt/ecrc/hwloc/2.0.3-gcc-5.5.0/ub16/lib:/opt/ecrc/cmake/3.9.6/ub16/lib:/opt/ecrc/gcc/5.5.0/ub16/lib64:/opt/ecrc/gcc/5.5.0/ub16/lib/gcc/x86_64-linux-gnu/5.5.0:/opt/ecrc/mkl/2020.0.166/mkl/lib/intel64:/opt/ecrc/mkl/2020.0.166/lib/intel64 -GCC_ROOT=/opt/ecrc/gcc/5.5.0/ub16 -SHLVL=1 -HOME=/home/USER -SSH_TTY=/dev/pts/6 -MKL_ROOT=/opt/ecrc/mkl/2020.0.166 -F90=/opt/ecrc/gcc/5.5.0/ub16/bin/gfortran -FPATH=/opt/ecrc/mkl/2020.0.166/mkl/include -FC=/opt/ecrc/gcc/5.5.0/ub16/bin/gfortran -LC_MONETARY=ar_SA.UTF-8 -LC_CTYPE=en_US.UTF-8 -SPACK_ROOT=/sw/spack -_LMFILES_=/opt/ecrc/modules/sets/ecrc-extras:/opt/ecrc/modules/libs-extra/mkl/2020.0.166:/opt/ecrc/modules/compilers-extra/gcc/5.5.0:/opt/ecrc/modules/applications-extra/cmake/3.9.6:/opt/ecrc/modules/applications-extra/hwloc/2.0.3-gcc-5.5.0:/opt/ecrc/modules/libs-extra/starpu/1.2.6-gcc-5.5.0-mkl-openmpi-3.0.0 -VISUAL=vim -CMAKE_ROOT=/opt/ecrc/cmake/3.9.6/ub16 -F77=/opt/ecrc/gcc/5.5.0/ub16/bin/gfortran -INFOPATH=/opt/ecrc/gcc/5.5.0/ub16/share/info -ECRC_ARCH=x86_64-linux-gnu -LOGNAME=USER -_=./sc_bash.sh -KAUST_APPNAME=STARPU -PKG_CONFIG_PATH=/home/USER/codes/nlopt-2.4.2/nlopt_install/lib/pkgconfig:/home/USER/codes/gsl-2.4/gsl_install/lib/pkgconfig:/home/USER/develop/stars-h/build/installdir/lib/pkgconfig:/home/USER/develop/hicma/build/installdir/lib/pkgconfig:/home/USER/develop/hicma/chameleon/build/installdir/lib/pkgconfig:/starpu_install/lib/pkgconfig:/opt/ecrc/starpu/1.2.6-gcc-5.5.0-mkl-openmpi-3.0.0/ub16/lib/pkgconfig:/opt/ecrc/hwloc/2.0.3-gcc-5.5.0/ub16/lib/pkgconfig:/opt/ecrc/gcc/5.5.0/ub16/lib64/pkgconfig:/opt/ecrc/mkl/2020.0.166/mkl/bin/pkgconfig -TERM=xterm-256color -SPACK_MODULES_ROOT=/sw/workstations/modules -PATH=/home/USER/bin:/home/USER/.local/bin:/opt/ecrc/starpu/1.2.6-gcc-5.5.0-mkl-openmpi-3.0.0/ub16/bin:/opt/ecrc/hwloc/2.0.3-gcc-5.5.0/ub16/bin:/opt/ecrc/hwloc/2.0.3-gcc-5.5.0/ub16/sbin:/opt/ecrc/cmake/3.9.6/ub16/bin:/opt/ecrc/gcc/5.5.0/ub16/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin -MIC_LD_LIBRARY_PATH=/opt/ecrc/mkl/2020.0.166/mkl/lib/mic -LC_ADDRESS=ar_SA.UTF-8 -LC_TELEPHONE=ar_SA.UTF-8 -SPACK_APPS_ROOT=/sw/workstations/apps -LANG=en_US.UTF-8 -LS_COLORS=rs=0:di=01;34:ln=01;36:mh=00:pi=40;33:so=01;35:do=01;35:bd=40;33;01:cd=40;33;01:or=40;31;01:mi=00:su=37;41:sg=30;43:ca=30;41:tw=30;42:ow=34;42:st=37;44:ex=01;32:*.tar=01;31:*.tgz=01;31:*.arc=01;31:*.arj=01;31:*.taz=01;31:*.lha=01;31:*.lz4=01;31:*.lzh=01;31:*.lzma=01;31:*.tlz=01;31:*.txz=01;31:*.tzo=01;31:*.t7z=01;31:*.zip=01;31:*.z=01;31:*.Z=01;31:*.dz=01;31:*.gz=01;31:*.lrz=01;31:*.lz=01;31:*.lzo=01;31:*.xz=01;31:*.bz2=01;31:*.bz=01;31:*.tbz=01;31:*.tbz2=01;31:*.tz=01;31:*.deb=01;31:*.rpm=01;31:*.jar=01;31:*.war=01;31:*.ear=01;31:*.sar=01;31:*.rar=01;31:*.alz=01;31:*.ace=01;31:*.zoo=01;31:*.cpio=01;31:*.7z=01;31:*.rz=01;31:*.cab=01;31:*.jpg=01;35:*.jpeg=01;35:*.gif=01;35:*.bmp=01;35:*.pbm=01;35:*.pgm=01;35:*.ppm=01;35:*.tga=01;35:*.xbm=01;35:*.xpm=01;35:*.tif=01;35:*.tiff=01;35:*.png=01;35:*.svg=01;35:*.svgz=01;35:*.mng=01;35:*.pcx=01;35:*.mov=01;35:*.mpg=01;35:*.mpeg=01;35:*.m2v=01;35:*.mkv=01;35:*.webm=01;35:*.ogm=01;35:*.mp4=01;35:*.m4v=01;35:*.mp4v=01;35:*.vob=01;35:*.qt=01;35:*.nuv=01;35:*.wmv=01;35:*.asf=01;35:*.rm=01;35:*.rmvb=01;35:*.flc=01;35:*.avi=01;35:*.fli=01;35:*.flv=01;35:*.gl=01;35:*.dl=01;35:*.xcf=01;35:*.xwd=01;35:*.yuv=01;35:*.cgm=01;35:*.emf=01;35:*.ogv=01;35:*.ogx=01;35:*.aac=00;36:*.au=00;36:*.flac=00;36:*.m4a=00;36:*.mid=00;36:*.midi=00;36:*.mka=00;36:*.mp3=00;36:*.mpc=00;36:*.ogg=00;36:*.ra=00;36:*.wav=00;36:*.oga=00;36:*.opus=00;36:*.spx=00;36:*.xspf=00;36: -SHELL=/bin/bash -KRB5CCNAME=KEYRING:persistent:153804 -ECRC_APPS_ROOT=/opt/ecrc -LC_NAME=ar_SA.UTF-8 -CXX=/opt/ecrc/gcc/5.5.0/ub16/bin/g++ -MKLROOT=/opt/ecrc/mkl/2020.0.166/mkl -LESSCLOSE=/usr/bin/lesspipe %s %s -MODULE_VERSION=3.2.10 -LC_MEASUREMENT=ar_SA.UTF-8 -KAUST_MODULES_ROOT=/opt/share/modules -MODULE_VERSION_STACK=3.2.10 -NLSPATH=/opt/ecrc/mkl/2020.0.166/mkl/lib/intel64/locale/en_US -LC_IDENTIFICATION=ar_SA.UTF-8 -LC_ALL=en_US.UTF-8 -PWD=/home/USER -LOADEDMODULES=ecrc-extras:mkl/2020.0.166:gcc/5.5.0:cmake/3.9.6:hwloc/2.0.3-gcc-5.5.0:starpu/1.2.6-gcc-5.5.0-mkl-openmpi-3.0.0 -XDG_DATA_DIRS=/usr/local/share:/usr/share:/var/lib/snapd/desktop -SSH_CONNECTION=10.68.58.183 40350 10.68.59.125 22 -LC_NUMERIC=ar_SA.UTF-8 -KAUST_APPS_ROOT=/opt/share -LC_PAPER=ar_SA.UTF-8 -CPATH=/home/USER/develop/stars-h/build/installdir/include:/home/USER/develop/hicma/build/installdir/include:/opt/ecrc/starpu/1.2.6-gcc-5.5.0-mkl-openmpi-3.0.0/ub16/include/starpu/1.2:/opt/ecrc/hwloc/2.0.3-gcc-5.5.0/ub16/include:/opt/ecrc/cmake/3.9.6/ub16/include:/opt/ecrc/gcc/5.5.0/ub16/lib/gcc/x86_64-linux-gnu/5.5.0:/opt/ecrc/gcc/5.5.0/ub16/lib/gcc/x86_64-linux-gnu/5.5.0/include:/opt/ecrc/gcc/5.5.0/ub16/lib/gcc/x86_64-linux-gnu/5.5.0/include-fixed:/opt/ecrc/gcc/5.5.0/ub16/include/c++/5.5.0:/opt/ecrc/gcc/5.5.0/ub16/include/c++/5.5.0/x86_64-linux-gnu:/usr/include/x86_64-linux-gnu:/usr/include:/opt/ecrc/mkl/2020.0.166/mkl/include -CC=/opt/ecrc/gcc/5.5.0/ub16/bin/gcc -MANPATH=/opt/ecrc/hwloc/2.0.3-gcc-5.5.0/ub16/share/man:/opt/ecrc/cmake/3.9.6/ub16/man:/opt/ecrc/gcc/5.5.0/ub16/share/man:/opt/ecrc/mkl/2020.0.166/man/en_US:/usr/share/man -MODULEPATH=/home/USER/local/modulefiles:/opt/ecrc/modules/sets:/opt/ecrc/modules/applications-extra:/opt/ecrc/modules/libs-extra:/opt/ecrc/modules/compilers-extra::/sw/workstations/modules/linux-ubuntu16.04-x86_64:/opt/share/modules/applications:/opt/share/modules/libs:/opt/share/modules/compilers:/opt/share/modules/sets:/opt/local/modules -EDITOR=vim -MODULESHOME=/usr/share/modules -LSB Version: core-9.20160110ubuntu0.2-amd64:core-9.20160110ubuntu0.2-noarch:security-9.20160110ubuntu0.2-amd64:security-9.20160110ubuntu0.2-noarch -Distributor ID: Ubuntu -Description: Ubuntu 16.04.6 LTS -Release: 16.04 -Codename: xenial -Linux flamingo 4.4.0-104-generic #127-Ubuntu SMP Mon Dec 11 12:16:42 UTC 2017 x86_64 x86_64 x86_64 GNU/Linux -Architecture: x86_64 -CPU op-mode(s): 32-bit, 64-bit -Byte Order: Little Endian -CPU(s): 112 -On-line CPU(s) list: 0-55 -Off-line CPU(s) list: 56-111 -Thread(s) per core: 1 -Core(s) per socket: 28 -Socket(s): 2 -NUMA node(s): 2 -Vendor ID: GenuineIntel -CPU family: 6 -Model: 85 -Model name: Intel(R) Xeon(R) Platinum 8176 CPU @ 2.10GHz -Stepping: 4 -CPU MHz: 1000.000 -CPU max MHz: 2101.0000 -CPU min MHz: 1000.0000 -BogoMIPS: 4191.47 -Virtualization: VT-x -L1d cache: 32K -L1i cache: 32K -L2 cache: 1024K -L3 cache: 39424K -NUMA node0 CPU(s): 0-27 -NUMA node1 CPU(s): 28-55 -Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc aperfmperf eagerfpu pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch epb intel_pt tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm mpx avx512f rdseed adx smap clflushopt clwb avx512cd xsaveopt xsavec xgetbv1 cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts -MemTotal: 196686680 kB -MemFree: 172410420 kB -MemAvailable: 194334764 kB -Buffers: 2147688 kB -Cached: 16844796 kB -SwapCached: 160 kB -Active: 12821832 kB -Inactive: 6247024 kB -Active(anon): 86000 kB -Inactive(anon): 119464 kB -Active(file): 12735832 kB -Inactive(file): 6127560 kB -Unevictable: 19036 kB -Mlocked: 19036 kB -SwapTotal: 33554428 kB -SwapFree: 33543308 kB -Dirty: 516 kB -Writeback: 0 kB -AnonPages: 97340 kB -Mapped: 86104 kB -Shmem: 122728 kB -Slab: 4089748 kB -SReclaimable: 3812036 kB -SUnreclaim: 277712 kB -KernelStack: 20720 kB -PageTables: 9180 kB -NFS_Unstable: 0 kB -Bounce: 0 kB -WritebackTmp: 0 kB -CommitLimit: 131897768 kB -Committed_AS: 638964 kB -VmallocTotal: 34359738367 kB -VmallocUsed: 0 kB -VmallocChunk: 0 kB -HardwareCorrupted: 0 kB -AnonHugePages: 30720 kB -CmaTotal: 0 kB -CmaFree: 0 kB -HugePages_Total: 0 -HugePages_Free: 0 -HugePages_Rsvd: 0 -HugePages_Surp: 0 -Hugepagesize: 2048 kB -DirectMap4k: 339912 kB -DirectMap2M: 13987840 kB -DirectMap1G: 187695104 kB -NAME MAJ:MIN RM SIZE RO TYPE MOUNTPOINT -sda 8:0 0 447.1G 0 disk -├─sda1 8:1 0 487M 0 part /boot -├─sda2 8:2 0 1K 0 part -└─sda5 8:5 0 446.7G 0 part - ├─flamingo--vg-lv--root 252:0 0 80G 0 lvm / - ├─flamingo--vg-lv--swap 252:1 0 32G 0 lvm [SWAP] - ├─flamingo--vg-lv--var 252:2 0 50G 0 lvm /var - └─flamingo--vg-lv--tmp 252:3 0 230G 0 lvm /tmp -sdb 8:16 0 1.8T 0 disk -└─sdb1 8:17 0 1.8T 0 part - ├─mirror--vg-lv--mirror--home_rmeta_0 252:4 0 4M 0 lvm - │ └─mirror--vg-lv--mirror--home 252:8 0 1.5T 0 lvm /home - ├─mirror--vg-lv--mirror--home_rimage_0 252:5 0 1.5T 0 lvm - │ └─mirror--vg-lv--mirror--home 252:8 0 1.5T 0 lvm /home - └─mirror--vg-delme 252:9 0 100G 0 lvm -sdc 8:32 0 1.8T 0 disk -└─sdc1 8:33 0 1.8T 0 part - ├─mirror--vg-lv--mirror--home_rmeta_1 252:6 0 4M 0 lvm - │ └─mirror--vg-lv--mirror--home 252:8 0 1.5T 0 lvm /home - └─mirror--vg-lv--mirror--home_rimage_1 252:7 0 1.5T 0 lvm - └─mirror--vg-lv--mirror--home 252:8 0 1.5T 0 lvm /home -loop0 7:0 0 0 loop -loop1 7:1 0 0 loop -loop2 7:2 0 0 loop -loop3 7:3 0 0 loop -loop4 7:4 0 0 loop -loop5 7:5 0 0 loop -loop6 7:6 0 0 loop -loop7 7:7 0 0 loop -NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running. - -H/W path Device Class Description -====================================================== - system Computer -/0 bus Motherboard -/0/0 memory 187GiB System memory -/0/1 processor Intel(R) Xeon(R) Platinum 8176 CPU @ 2.10GHz -/0/2 processor Intel(R) Xeon(R) Platinum 8176 CPU @ 2.10GHz -/0/100 bridge Sky Lake-E DMI3 Registers -/0/100/4 generic Sky Lake-E CBDMA Registers -/0/100/4.1 generic Sky Lake-E CBDMA Registers -/0/100/4.2 generic Sky Lake-E CBDMA Registers -/0/100/4.3 generic Sky Lake-E CBDMA Registers -/0/100/4.4 generic Sky Lake-E CBDMA Registers -/0/100/4.5 generic Sky Lake-E CBDMA Registers -/0/100/4.6 generic Sky Lake-E CBDMA Registers -/0/100/4.7 generic Sky Lake-E CBDMA Registers -/0/100/5 generic Sky Lake-E MM/Vt-d Configuration Registers -/0/100/5.2 generic Intel Corporation -/0/100/5.4 generic Intel Corporation -/0/100/8 generic Sky Lake-E Ubox Registers -/0/100/8.1 generic Sky Lake-E Ubox Registers -/0/100/8.2 generic Sky Lake-E Ubox Registers -/0/100/11 generic C620 Series Chipset Family MROM 0 -/0/100/11.1 generic C620 Series Chipset Family MROM 1 -/0/100/11.5 storage C620 Series Chipset Family SSATA Controller [AHCI mode] -/0/100/14 bus C620 Series Chipset Family USB 3.0 xHCI Controller -/0/100/14.2 generic C620 Series Chipset Family Thermal Subsystem -/0/100/16 communication C620 Series Chipset Family MEI Controller #1 -/0/100/16.1 communication C620 Series Chipset Family MEI Controller #2 -/0/100/16.4 communication C620 Series Chipset Family MEI Controller #3 -/0/100/17 storage C620 Series Chipset Family SATA Controller [AHCI mode] -/0/100/1c bridge C620 Series Chipset Family PCI Express Root Port #1 -/0/100/1c.2 bridge C620 Series Chipset Family PCI Express Root Port #3 -/0/100/1c.2/0 bus ASM1142 USB 3.1 Host Controller -/0/100/1c.5 bridge C620 Series Chipset Family PCI Express Root Port #6 -/0/100/1c.5/0 bridge AST1150 PCI-to-PCI Bridge -/0/100/1c.5/0/0 display ASPEED Graphics Family -/0/100/1f bridge C621 Series Chipset LPC/eSPI Controller -/0/100/1f.2 memory Memory controller -/0/100/1f.3 multimedia Intel Corporation -/0/100/1f.4 bus C620 Series Chipset Family SMBus -/0/100/1f.5 bus C620 Series Chipset Family SPI Controller -/0/6 generic Intel Corporation -/0/7 generic Sky Lake-E RAS Configuration Registers -/0/9 generic Intel Corporation -/0/a generic Sky Lake-E CHA Registers -/0/b generic Sky Lake-E CHA Registers -/0/c generic Sky Lake-E CHA Registers -/0/d generic Sky Lake-E CHA Registers -/0/e generic Sky Lake-E CHA Registers -/0/f generic Sky Lake-E CHA Registers -/0/10 generic Sky Lake-E CHA Registers -/0/11 generic Sky Lake-E CHA Registers -/0/12 generic Sky Lake-E CHA Registers -/0/13 generic Sky Lake-E CHA Registers -/0/14 generic Sky Lake-E CHA Registers -/0/15 generic Sky Lake-E CHA Registers -/0/16 generic Sky Lake-E CHA Registers -/0/17 generic Sky Lake-E CHA Registers -/0/18 generic Sky Lake-E CHA Registers -/0/19 generic Sky Lake-E CHA Registers -/0/1a generic Sky Lake-E CHA Registers -/0/1b generic Sky Lake-E CHA Registers -/0/1c generic Sky Lake-E CHA Registers -/0/1d generic Sky Lake-E CHA Registers -/0/1e generic Sky Lake-E CHA Registers -/0/1f generic Sky Lake-E CHA Registers -/0/20 generic Sky Lake-E CHA Registers -/0/21 generic Sky Lake-E CHA Registers -/0/22 generic Sky Lake-E CHA Registers -/0/23 generic Sky Lake-E CHA Registers -/0/24 generic Sky Lake-E CHA Registers -/0/25 generic Sky Lake-E CHA Registers -/0/26 generic Sky Lake-E CHA Registers -/0/27 generic Sky Lake-E CHA Registers -/0/28 generic Sky Lake-E CHA Registers -/0/29 generic Sky Lake-E CHA Registers -/0/2a generic Sky Lake-E CHA Registers -/0/2b generic Sky Lake-E CHA Registers -/0/2c generic Sky Lake-E CHA Registers -/0/2d generic Sky Lake-E CHA Registers -/0/2e generic Sky Lake-E CHA Registers -/0/2f generic Sky Lake-E CHA Registers -/0/30 generic Sky Lake-E CHA Registers -/0/31 generic Sky Lake-E CHA Registers -/0/32 generic Sky Lake-E CHA Registers -/0/33 generic Sky Lake-E CHA Registers -/0/34 generic Sky Lake-E CHA Registers -/0/35 generic Sky Lake-E CHA Registers -/0/36 generic Sky Lake-E CHA Registers -/0/37 generic Sky Lake-E CHA Registers -/0/38 generic Sky Lake-E CHA Registers -/0/39 generic Sky Lake-E CHA Registers -/0/3a generic Sky Lake-E CHA Registers -/0/3b generic Sky Lake-E CHA Registers -/0/3c generic Sky Lake-E CHA Registers -/0/3d generic Sky Lake-E CHA Registers -/0/3e generic Sky Lake-E CHA Registers -/0/3f generic Sky Lake-E CHA Registers -/0/40 generic Sky Lake-E CHA Registers -/0/41 generic Sky Lake-E CHA Registers -/0/42 generic Sky Lake-E CHA Registers -/0/43 generic Sky Lake-E CHA Registers -/0/44 generic Sky Lake-E CHA Registers -/0/45 generic Sky Lake-E CHA Registers -/0/46 generic Sky Lake-E PCU Registers -/0/47 generic Sky Lake-E PCU Registers -/0/48 generic Sky Lake-E PCU Registers -/0/49 generic Sky Lake-E PCU Registers -/0/4a generic Sky Lake-E PCU Registers -/0/4b generic Sky Lake-E PCU Registers -/0/4c generic Sky Lake-E PCU Registers -/0/4d generic Intel Corporation -/0/4e generic Sky Lake-E RAS Configuration Registers -/0/4f generic Intel Corporation -/0/50 generic Intel Corporation -/0/51 generic Intel Corporation -/0/52 generic Intel Corporation -/0/53 generic Intel Corporation -/0/54 generic Intel Corporation -/0/55 generic Intel Corporation -/0/56 generic Intel Corporation -/0/57 generic Intel Corporation -/0/58 generic Intel Corporation -/0/59 generic Intel Corporation -/0/5a generic Intel Corporation -/0/5b generic Intel Corporation -/0/5c generic Intel Corporation -/0/5d generic Intel Corporation -/0/5e generic Intel Corporation -/0/5f generic Intel Corporation -/0/60 generic Intel Corporation -/0/61 generic Intel Corporation -/0/62 generic Intel Corporation -/0/63 generic Intel Corporation -/0/64 generic Intel Corporation -/0/65 generic Intel Corporation -/0/66 generic Intel Corporation -/0/67 generic Intel Corporation -/0/68 generic Intel Corporation -/0/69 generic Intel Corporation -/0/3 bridge Sky Lake-E PCI Express Root Port D -/0/3/0 bridge Intel Corporation -/0/3/0/3 bridge Intel Corporation -/0/3/0/3/0 enp96s0f0 network Ethernet Connection X722 for 1GbE -/0/3/0/3/0.1 enp96s0f1 network Ethernet Connection X722 for 1GbE -/0/6a generic Intel Corporation -/0/6b generic Sky Lake-E RAS Configuration Registers -/0/6c generic Intel Corporation -/0/6d generic Intel Corporation -/0/6e generic Intel Corporation -/0/6f generic Intel Corporation -/0/70 generic Intel Corporation -/0/71 generic Intel Corporation -/0/72 generic Intel Corporation -/0/73 generic Sky Lake-E M3KTI Registers -/0/74 generic Sky Lake-E M3KTI Registers -/0/75 generic Sky Lake-E M3KTI Registers -/0/76 generic Sky Lake-E M3KTI Registers -/0/77 generic Sky Lake-E M3KTI Registers -/0/78 generic Sky Lake-E M2PCI Registers -/0/79 generic Sky Lake-E M2PCI Registers -/0/7a generic Sky Lake-E M2PCI Registers -/0/7b generic Sky Lake-E M2PCI Registers -/0/4 generic Sky Lake-E CBDMA Registers -/0/4.1 generic Sky Lake-E CBDMA Registers -/0/4.2 generic Sky Lake-E CBDMA Registers -/0/4.3 generic Sky Lake-E CBDMA Registers -/0/4.4 generic Sky Lake-E CBDMA Registers -/0/4.5 generic Sky Lake-E CBDMA Registers -/0/4.6 generic Sky Lake-E CBDMA Registers -/0/4.7 generic Sky Lake-E CBDMA Registers -/0/7c generic Sky Lake-E MM/Vt-d Configuration Registers -/0/7d generic Intel Corporation -/0/7e generic Intel Corporation -/0/7f generic Sky Lake-E Ubox Registers -/0/80 generic Sky Lake-E Ubox Registers -/0/81 generic Sky Lake-E Ubox Registers -/0/82 generic Intel Corporation -/0/83 generic Sky Lake-E RAS Configuration Registers -/0/84 generic Intel Corporation -/0/85 generic Sky Lake-E CHA Registers -/0/8.1 generic Sky Lake-E CHA Registers -/0/8.2 generic Sky Lake-E CHA Registers -/0/86 generic Sky Lake-E CHA Registers -/0/87 generic Sky Lake-E CHA Registers -/0/88 generic Sky Lake-E CHA Registers -/0/89 generic Sky Lake-E CHA Registers -/0/8a generic Sky Lake-E CHA Registers -/0/8b generic Sky Lake-E CHA Registers -/0/8c generic Sky Lake-E CHA Registers -/0/8d generic Sky Lake-E CHA Registers -/0/8e generic Sky Lake-E CHA Registers -/0/8f generic Sky Lake-E CHA Registers -/0/90 generic Sky Lake-E CHA Registers -/0/91 generic Sky Lake-E CHA Registers -/0/92 generic Sky Lake-E CHA Registers -/0/93 generic Sky Lake-E CHA Registers -/0/94 generic Sky Lake-E CHA Registers -/0/95 generic Sky Lake-E CHA Registers -/0/96 generic Sky Lake-E CHA Registers -/0/97 generic Sky Lake-E CHA Registers -/0/98 generic Sky Lake-E CHA Registers -/0/99 generic Sky Lake-E CHA Registers -/0/9a generic Sky Lake-E CHA Registers -/0/9b generic Sky Lake-E CHA Registers -/0/9c generic Sky Lake-E CHA Registers -/0/9d generic Sky Lake-E CHA Registers -/0/9e generic Sky Lake-E CHA Registers -/0/9f generic Sky Lake-E CHA Registers -/0/a0 generic Sky Lake-E CHA Registers -/0/a1 generic Sky Lake-E CHA Registers -/0/a2 generic Sky Lake-E CHA Registers -/0/a3 generic Sky Lake-E CHA Registers -/0/a4 generic Sky Lake-E CHA Registers -/0/a5 generic Sky Lake-E CHA Registers -/0/a6 generic Sky Lake-E CHA Registers -/0/a7 generic Sky Lake-E CHA Registers -/0/a8 generic Sky Lake-E CHA Registers -/0/a9 generic Sky Lake-E CHA Registers -/0/aa generic Sky Lake-E CHA Registers -/0/ab generic Sky Lake-E CHA Registers -/0/ac generic Sky Lake-E CHA Registers -/0/ad generic Sky Lake-E CHA Registers -/0/ae generic Sky Lake-E CHA Registers -/0/af generic Sky Lake-E CHA Registers -/0/b0 generic Sky Lake-E CHA Registers -/0/b1 generic Sky Lake-E CHA Registers -/0/b2 generic Sky Lake-E CHA Registers -/0/b3 generic Sky Lake-E CHA Registers -/0/b4 generic Sky Lake-E CHA Registers -/0/b5 generic Sky Lake-E CHA Registers -/0/b6 generic Sky Lake-E CHA Registers -/0/b7 generic Sky Lake-E CHA Registers -/0/b8 generic Sky Lake-E CHA Registers -/0/b9 generic Sky Lake-E CHA Registers -/0/ba generic Sky Lake-E CHA Registers -/0/bb generic Sky Lake-E CHA Registers -/0/bc generic Sky Lake-E CHA Registers -/0/bd generic Sky Lake-E CHA Registers -/0/be generic Sky Lake-E CHA Registers -/0/bf generic Sky Lake-E PCU Registers -/0/c0 generic Sky Lake-E PCU Registers -/0/c1 generic Sky Lake-E PCU Registers -/0/c2 generic Sky Lake-E PCU Registers -/0/c3 generic Sky Lake-E PCU Registers -/0/c4 generic Sky Lake-E PCU Registers -/0/c5 generic Sky Lake-E PCU Registers -/0/c6 generic Intel Corporation -/0/c7 generic Sky Lake-E RAS Configuration Registers -/0/c8 generic Intel Corporation -/0/8 generic Intel Corporation -/0/c9 generic Intel Corporation -/0/ca generic Intel Corporation -/0/cb generic Intel Corporation -/0/cc generic Intel Corporation -/0/cd generic Intel Corporation -/0/ce generic Intel Corporation -/0/cf generic Intel Corporation -/0/d0 generic Intel Corporation -/0/d1 generic Intel Corporation -/0/d2 generic Intel Corporation -/0/d3 generic Intel Corporation -/0/d4 generic Intel Corporation -/0/d5 generic Intel Corporation -/0/d6 generic Intel Corporation -/0/d7 generic Intel Corporation -/0/d8 generic Intel Corporation -/0/d9 generic Intel Corporation -/0/da generic Intel Corporation -/0/db generic Intel Corporation -/0/dc generic Intel Corporation -/0/dd generic Intel Corporation -/0/de generic Intel Corporation -/0/df generic Intel Corporation -/0/e0 generic Intel Corporation -/0/e1 generic Intel Corporation -/0/5 generic Intel Corporation -/0/5.2 generic Sky Lake-E RAS Configuration Registers -/0/5.4 generic Intel Corporation -/0/e2 generic Intel Corporation -/0/e3 generic Intel Corporation -/0/e4 generic Intel Corporation -/0/e5 generic Intel Corporation -/0/e6 generic Intel Corporation -/0/e7 generic Intel Corporation -/0/e8 generic Sky Lake-E M3KTI Registers -/0/e9 generic Sky Lake-E M3KTI Registers -/0/ea generic Sky Lake-E M3KTI Registers -/0/eb generic Sky Lake-E M3KTI Registers -/0/ec generic Sky Lake-E M3KTI Registers -/0/ed generic Sky Lake-E M2PCI Registers -/0/ee generic Sky Lake-E M2PCI Registers -/0/ef generic Sky Lake-E M2PCI Registers -/0/f0 generic Sky Lake-E M2PCI Registers diff --git a/sc20-artifacts/sc20-machines-env-info/64-core-thunder-arm-output.txt b/sc20-artifacts/sc20-machines-env-info/64-core-thunder-arm-output.txt deleted file mode 100644 index 572af29..0000000 --- a/sc20-artifacts/sc20-machines-env-info/64-core-thunder-arm-output.txt +++ /dev/null @@ -1,361 +0,0 @@ -PBS_ENVIRONMENT=PBS_INTERACTIVE -CRAYPAT_ALPS_COMPONENT=/opt/cray/pe/perftools/7.1.3/sbin/pat_alps -LS_COLORS=no=00:fi=00:di=01;34:ln=00;36:pi=40;33:so=01;35:do=01;35:bd=40;33;01:cd=40;33;01:or=41;33;01:ex=00;32:*.cmd=00;32:*.exe=01;32:*.com=01;32:*.bat=01;32:*.btm=01;32:*.dll=01;32:*.tar=00;31:*.tbz=00;31:*.tgz=00;31:*.rpm=00;31:*.deb=00;31:*.arj=00;31:*.taz=00;31:*.lzh=00;31:*.lzma=00;31:*.zip=00;31:*.zoo=00;31:*.z=00;31:*.Z=00;31:*.gz=00;31:*.bz2=00;31:*.tb2=00;31:*.tz2=00;31:*.tbz2=00;31:*.xz=00;31:*.avi=01;35:*.bmp=01;35:*.dl=01;35:*.fli=01;35:*.gif=01;35:*.gl=01;35:*.jpg=01;35:*.jpeg=01;35:*.mkv=01;35:*.mng=01;35:*.mov=01;35:*.mp4=01;35:*.mpg=01;35:*.pcx=01;35:*.pbm=01;35:*.pgm=01;35:*.png=01;35:*.ppm=01;35:*.svg=01;35:*.tga=01;35:*.tif=01;35:*.webm=01;35:*.webp=01;35:*.wmv=01;35:*.xbm=01;35:*.xcf=01;35:*.xpm=01;35:*.aiff=00;32:*.ape=00;32:*.au=00;32:*.flac=00;32:*.m4a=00;32:*.mid=00;32:*.mp3=00;32:*.mpc=00;32:*.ogg=00;32:*.voc=00;32:*.wav=00;32:*.wma=00;32:*.wv=00;32: -PE_LIBSCI_DEFAULT_VOLATILE_PRGENV=ALLINEA CRAY GNU -LD_LIBRARY_PATH=/home/USER/codes/exageostatr/src/hicma/build/install_dir/lib/:/home/USER/codes/exageostatr/src/hicma/chameleon/build/install_dir/lib/:/home/USER/codes/starpu-1.2.9/starpu_install/lib:/home/USER/codes/hwloc-1.11.5/hwloc_install/lib:/home/USER/codes/gsl-2.4/gsl_install/lib:/home/USER/codes/nlopt-2.4.2/nlopt_install/lib:/home/USER/codes/hwloc-1.11.5/hwloc_install/lib:/home/USER/codes/gsl-2.4/gsl_install/lib:/home/USER/codes/nlopt-2.4.2/nlopt_install/lib:/opt/allinea/19.3.0.0/armpl-19.3.0_ThunderX2CN99_SUSE-12_arm-hpc-compiler_19.3_aarch64-linux/lib:/opt/cray/pe/papi/5.7.0.2/lib64:/opt/allinea/19.3.0.0/arm-hpc-compiler-19.3_Generic-AArch64_SUSE-12_aarch64-linux/lib:/opt/allinea/19.3.0.0/gcc-8.2.0_Generic-AArch64_SUSE-12_aarch64-linux/lib64:/opt/allinea/19.3.0.0/gcc-8.2.0_Generic-AArch64_SUSE-12_aarch64-linux/lib:/opt/allinea/19.3.0.0/arm-hpc-compiler-19.3_Generic-AArch64_SUSE-12_aarch64-linux/lib/clang/7.1.0/armpl_links/lib -HOSTTYPE=aarch64 -PBS_O_LANG=en_US.UTF-8 -XTPE_NETWORK_TARGET=aries -ATP_IGNORE_SIGTERM=1 -CRAY_UDREG_POST_LINK_OPTS=-L/opt/cray/udreg/2.3.2-7.0.0.1_4.24__g8175d3d.ari/lib64 -PE_FFTW_DEFAULT_TARGET_share=share -PRGENVMODULES=PrgEnv-cray:PrgEnv-gnu:PrgEnv-intel:PrgEnv-pgi -PKG_CONFIG_PATH_DEFAULT=/opt/cray/pe/papi/5.7.0.2/lib64/pkgconfig:/opt/cray/pe/papi/5.6.0.6/lib64/pkgconfig -PE_LIBSCI_OMP_REQUIRES= -PE_MPICH_NV_LIBS_nvidia35=-lcudart -LESSCLOSE=lessclose.sh %s %s -CRAY_LD_LIBRARY_PATH=/opt/cray/rca/2.2.20-7.0.0.1_4.39__g8e3fb5b.ari/lib64:/opt/cray/pe/perftools/7.1.3/lib64:/opt/cray/pe/pmi/5.0.15/lib64:/opt/cray/pe/libsci/19.06.1/ALLINEA/18.2/aarch64/lib:/opt/cray/pe/mpt/7.7.11/gni/mpich-allinea/18.2/lib:/opt/cray/llm/21.4.572-7.0.0.1_6.8__gf222b87.ari/lib64:/opt/cray/xpmem/2.2.17-7.0.0.1_3.24__g7acee3a.ari/lib64:/opt/cray/dmapp/7.1.1-7.0.0.1_5.21__g25e5077.ari/lib64:/opt/cray/ugni/6.0.14.0-7.0.0.1_7.26__ge78e5b0.ari/lib64:/opt/cray/udreg/2.3.2-7.0.0.1_4.24__g8175d3d.ari/lib64:/opt/cray/alps/6.6.50-7.0.0.1_3.38__g962f7108.ari/lib64 -PE_MPICH_DEFAULT_DIR_CRAY_DEFAULT64=64 -PE_PAPI_DEFAULT_ACCEL_FAMILY_LIBS_nvidia=,-lcupti,-lcudart,-lcuda -XKEYSYMDB=/usr/X11R6/lib/X11/XKeysymDB -PE_ENV=ALLINEA -PE_NETCDF_DEFAULT_VOLATILE_PRGENV=GNU -CRAY_MPICH2_DIR=/opt/cray/pe/mpt/7.7.11/gni/mpich-allinea/18.2 -CRAYPAT_LD_LIBRARY_PATH=/opt/cray/pe/gcc-libs:/opt/cray/gcc-libs:/opt/cray/pe/perftools/7.1.3/lib64 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-ATP_POST_LINK_OPTS=-Wl,-L/opt/cray/pe/atp/2.1.3/libApp/ -FROM_HEADER= -PE_CRAYCLANG_FIXED_PKGCONFIG_PATH=/opt/cray/pe/libsci/19.06.1/CRAY/90/aarch64/lib/pkgconfig -PE_LIBSCI_DEFAULT_GENCOMPILERS_ALLINEA_aarch64=18.2 -PE_LIBSCI_GENCOMPS_ALLINEA_aarch64=182 -CRAY_MPICH_ROOTDIR=/opt/cray/pe/mpt/7.7.11 -PBS_O_QUEUE=arm-dev -MAIL=/var/spool/mail/USER -PE_HDF5_PARALLEL_DEFAULT_FIXED_PRGENV=CRAY ALLINEA -CRAY_ALLINEA_VERSION=19.3.0.0 -PE_MPICH_VOLATILE_PRGENV=GNU CRAYCLANG CRAY -PE_HDF5_DEFAULT_FIXED_PRGENV=CRAY ALLINEA -PE_MPICH_ALTERNATE_LIBS_multithreaded=_mt -LESSKEY=/etc/lesskey.bin -CRAY_SITE_LIST_DIR=/etc/opt/cray/pe/modules -PE_PARALLEL_NETCDF_DEFAULT_VOLATILE_PKGCONFIG_PATH=/opt/cray/pe/parallel-netcdf/1.11.1.1/@PRGENV@/@PE_PARALLEL_NETCDF_DEFAULT_GENCOMPS@/lib/pkgconfig -SHELL=/bin/bash -TERM=xterm-256color -PE_MPICH_GENCOMPILERS_CRAYCLANG=9.0 -PE_MPICH_FIXED_PRGENV=ALLINEA -PE_FFTW_DEFAULT_REQUIRED_PRODUCTS=PE_MPICH -PE_PARALLEL_NETCDF_DEFAULT_GENCOMPS_GNU= -CRAY_LIBSCI_VERSION=19.06.1 -XCURSOR_THEME=DMZ -LS_OPTIONS=-N --color=none -T 0 -PE_MPICH_DEFAULT_GENCOMPS_GNU=82 73 -PE_LIBSCI_DEFAULT_VOLATILE_PKGCONFIG_PATH=/opt/cray/pe/libsci/18.12.1/@PRGENV@/@PE_LIBSCI_DEFAULT_GENCOMPS@/@PE_LIBSCI_DEFAULT_TARGET@/lib/pkgconfig -PE_LIBSCI_DEFAULT_PKGCONFIG_VARIABLES=PE_LIBSCI_DEFAULT_OMP_REQUIRES_@openmp@:PE_SCI_EXT_LIBPATH:PE_SCI_EXT_LIBNAME -CRAY_XPMEM_POST_LINK_OPTS=-L/opt/cray/xpmem/2.2.17-7.0.0.1_3.24__g7acee3a.ari/lib64 -PE_HDF5_PARALLEL_DEFAULT_GENCOMPILERS_GNU=8.2 7.3 -PE_GNU_DEFAULT_FIXED_PKGCONFIG_PATH=/opt/cray/pe/ga/5.3.0.10/GNU/7.3/lib/pkgconfig -PE_MPICH_GENCOMPILERS_GNU=8.2 8.1 7.3 -ARM_COMPILER_FOR_HPC_BUILD=46 -PYTHONSTARTUP=/etc/pythonstart -CRAY_DMAPP_POST_LINK_OPTS=-L/opt/cray/dmapp/7.1.1-7.0.0.1_5.21__g25e5077.ari/lib64 -CRAY_MPICH2_VER=7.7.11 -SHLVL=2 -PE_NETCDF_HDF5PARALLEL_DEFAULT_VOLATILE_PRGENV=GNU -PBS_O_HOST=nid00005 -PYTHONPATH=/opt/cray/llm/21.4.572-7.0.0.1_6.8__gf222b87.ari/lib64/python -CRAY_LIBSCI_PREFIX_DIR=/opt/cray/pe/libsci/19.06.1/ALLINEA/18.2/aarch64 -CRAY_CRAYPE_VERSION=2.6.3 -PE_PAPI_DEFAULT_ACCELL_FAMILY_LIBS= -PBS_O_SYSTEM=Linux -MANPATH=/opt/cray/pe/perftools/7.1.3/man:/opt/cray/pe/papi/5.7.0.2/share/pdoc/man:/opt/cray/pe/atp/2.1.3/man:/opt/cray/pe/pmi/5.0.15/man:/opt/cray/pe/libsci/19.06.1/man:/opt/cray/pe/man/csmlversion:/opt/cray/pe/mpt/7.7.11/gni/man/mpich:/opt/cray/pe/craype/2.6.3/man:/opt/allinea/19.3.0.0/arm-hpc-compiler-19.3_Generic-AArch64_SUSE-12_aarch64-linux/share/man:/opt/allinea/19.3.0.0/gcc-8.2.0_Generic-AArch64_SUSE-12_aarch64-linux/share/man:/opt/cray/cfgutils/man:/opt/cray/llm/21.4.572-7.0.0.1_6.8__gf222b87.ari/man:/opt/cray/alps/6.6.50-7.0.0.1_3.38__g962f7108.ari/man:/opt/cray/pe/modules/3.2.11.4/share/man:/usr/local/man:/usr/share/man:/usr/man:/opt/cray/share/man:/opt/pbs/share/man:/opt/cray/pe/man -PE_MPICH_DEFAULT_GENCOMPS_CRAYCLANG=90 -ARM_HPC_COMPILER_INCLUDES=/opt/allinea/19.3.0.0/arm-hpc-compiler-19.3_Generic-AArch64_SUSE-12_aarch64-linux/include -MPICH_DIR=/opt/cray/pe/mpt/7.7.11/gni/mpich-allinea/18.2 -PBS_O_LOGNAME=USER -PBS_NODENUM=0 -MODULEPATH=/opt/cray/pe/perftools/7.1.3/modulefiles:/opt/cray/ari/modulefiles:/opt/cray/pe/craype/2.6.3/modulefiles:/opt/allinea/19.3.0.0/modulefiles:/opt/cray/pe/modulefiles:/opt/cray/modulefiles:/opt/modulefiles:/lustre/software/aarch64/modulefiles::/opt/cray/craype/default/modulefiles -PBS_JOBDIR=/home/USER/pbs.47619.xci00.x8z -CRAY_MPICH_DIR=/opt/cray/pe/mpt/7.7.11/gni/mpich-allinea/18.2 -ARM_HPC_COMPILER_BUILD=61 -PE_PKGCONFIG_PRODUCTS_DEFAULT=PE_PAPI -LOGNAME=USER -PE_MPICH_DEFAULT_FIXED_PRGENV=ALLINEA -CRAY_PMI_VERSION=5.0.15 -CRAY_MPICH_VERSION=7.7.11 -PE_MPICH_NV_LIBS_nvidia60=-lcudart -CRAY_PRE_COMPILE_OPTS=-hnetwork=aries -MODULE_VERSION_STACK=3.2.11.4 -PE_HDF5_PARALLEL_DEFAULT_VOLATILE_PKGCONFIG_PATH=/opt/cray/pe/hdf5-parallel/1.10.2.0/@PRGENV@/@PE_HDF5_PARALLEL_DEFAULT_GENCOMPS@/lib/pkgconfig -ALLINEA_QUEUE_DLL=/opt/cray/pe/mpt/7.7.11/gni/mpich-allinea/18.2/lib/libtvmpich.so.3.0.1 -JRE_HOME=/usr/lib64/jvm/java-11-openjdk-11 -PE_LIBSCI_PKGCONFIG_VARIABLES=PE_LIBSCI_OMP_REQUIRES_@openmp@:PE_SCI_EXT_LIBPATH:PE_SCI_EXT_LIBNAME -XDG_CONFIG_DIRS=/etc/xdg -PE_MPICH_DEFAULT_VOLATILE_PRGENV=GNU CRAY -PE_MPICH_TARGET_VAR_nvidia20=-lcudart -PATH=/opt/cray/pe/perftools/7.1.3/bin:/opt/cray/pe/papi/5.7.0.2/bin:/opt/cray/pe/mpt/7.7.11/gni/bin:/opt/cray/pe/craype/2.6.3/bin:/opt/allinea/19.3.0.0/arm-hpc-compiler-19.3_Generic-AArch64_SUSE-12_aarch64-linux/llvm-bin:/opt/allinea/19.3.0.0/arm-hpc-compiler-19.3_Generic-AArch64_SUSE-12_aarch64-linux/bin:/opt/allinea/19.3.0.0/gcc-8.2.0_Generic-AArch64_SUSE-12_aarch64-linux/bin:/opt/cray/rca/2.2.20-7.0.0.1_4.39__g8e3fb5b.ari/bin:/opt/cray/cfgutils/bin:/opt/cray/nodehealth/5.6.15-7.0.0.1_4.39__g3727db8.ari/bin:/opt/cray/llm/21.4.572-7.0.0.1_6.8__gf222b87.ari/bin:/opt/cray/sdb/3.3.794-7.0.0.1_4.27__gfff82fd.ari/bin:/opt/cray/nodestat/2.3.85-7.0.0.1_3.27__gc6218bb.ari/bin:/opt/cray/alps/6.6.50-7.0.0.1_3.38__g962f7108.ari/sbin:/opt/cray/alps/6.6.50-7.0.0.1_3.38__g962f7108.ari/bin:/opt/cray/alps/default/bin:/opt/cray/pe/modules/3.2.11.4/bin:/home/USER/bin:/usr/local/bin:/usr/bin:/bin:/usr/lib/mit/bin:/usr/lib/mit/sbin:/opt/pbs/bin:/opt/cray/pe/bin -JAVA_BINDIR=/usr/lib64/jvm/jre-11-openjdk/bin -_LMFILES_=/opt/cray/pe/modulefiles/modules/3.2.11.4:/opt/cray/ari/modulefiles/alps/6.6.50-7.0.0.1_3.38__g962f7108.ari:/opt/cray/ari/modulefiles/nodestat/2.3.85-7.0.0.1_3.27__gc6218bb.ari:/opt/cray/ari/modulefiles/sdb/3.3.794-7.0.0.1_4.27__gfff82fd.ari:/opt/cray/ari/modulefiles/udreg/2.3.2-7.0.0.1_4.24__g8175d3d.ari:/opt/cray/ari/modulefiles/ugni/6.0.14.0-7.0.0.1_7.26__ge78e5b0.ari:/opt/cray/ari/modulefiles/gni-headers/5.0.12.0-7.0.0.1_7.39__g3b1768f.ari:/opt/cray/ari/modulefiles/dmapp/7.1.1-7.0.0.1_5.21__g25e5077.ari:/opt/cray/ari/modulefiles/xpmem/2.2.17-7.0.0.1_3.24__g7acee3a.ari:/opt/cray/ari/modulefiles/llm/21.4.572-7.0.0.1_6.8__gf222b87.ari:/opt/cray/ari/modulefiles/nodehealth/5.6.15-7.0.0.1_4.39__g3727db8.ari:/opt/cray/ari/modulefiles/system-config/3.5.2966-7.0.0.1_7.2__g942c9818.ari:/opt/modulefiles/Base-opts/2.4.139-7.0.0.1_4.23__gbb799dd.ari:/opt/allinea/19.3.0.0/modulefiles/Generic-AArch64/SUSE/12/gcc/8.2.0:/opt/allinea/19.3.0.0/modulefiles/Generic-AArch64/SUSE/12/arm-hpc-compiler/19.3:/opt/allinea/19.3.0.0/modulefiles/Generic-AArch64/SUSE/12/suites/arm-compiler-for-hpc/19.3:/opt/modulefiles/allinea/19.3.0.0:/opt/cray/pe/craype/2.6.3/modulefiles/craype-network-aries:/opt/cray/pe/modulefiles/craype/2.6.3:/opt/cray/pe/modulefiles/cray-mpich/7.7.11:/opt/cray/ari/modulefiles/rca/2.2.20-7.0.0.1_4.39__g8e3fb5b.ari:/opt/cray/pe/modulefiles/cdt/19.12:/opt/cray/pe/modulefiles/cray-libsci/19.06.1:/opt/cray/pe/modulefiles/pmi/5.0.15:/opt/cray/pe/modulefiles/atp/2.1.3:/opt/cray/pe/modulefiles/perftools-base/7.1.3:/opt/cray/pe/modulefiles/PrgEnv-allinea/6.0.5 -ARM_HPC_COMPILER_DIR=/opt/allinea/19.3.0.0/arm-hpc-compiler-19.3_Generic-AArch64_SUSE-12_aarch64-linux -PE_NETCDF_DEFAULT_FIXED_PRGENV=CRAY ALLINEA -GCC_BUILD=11 -DMAPP_ABORT_ON_ERROR=1 -PBS_QUEUE=arm-dev -MODULESHOME=/opt/cray/pe/modules/3.2.11.4 -PKG_CONFIG_PATH=/home/USER/codes/exageostatr/src/hicma/build/install_dir/lib/pkgconfig:/home/USER/codes/exageostatr/src/hicma/chameleon/build/install_dir/lib/pkgconfig:/home/USER/codes/exageostatr/src/stars-h/build/install_dir/lib/pkgconfig:/home/USER/codes/exageostatr/src/stars-h/build/install_dir/lib/pkgconfig:/home/USER/codes/starpu-1.2.9/starpu_install/lib/pkgconfig:/home/USER/codes/hwloc-1.11.5/hwloc_install/lib/pkgconfig:/home/USER/codes/gsl-2.4/gsl_install/lib/pkgconfig:/home/USER/codes/nlopt-2.4.2/nlopt_install/lib/pkgconfig:/home/USER/codes/hwloc-1.11.5/hwloc_install/lib/pkgconfig:/home/USER/codes/gsl-2.4/gsl_install/lib/pkgconfig:/home/USER/codes/nlopt-2.4.2/nlopt_install/lib/pkgconfig:/opt/cray/rca/2.2.20-7.0.0.1_4.39__g8e3fb5b.ari/lib64/pkgconfig:/opt/cray/pe/pmi/5.0.15/lib64/pkgconfig:/opt/cray/pe/craype/2.6.3/pkg-config:/opt/cray/llm/21.4.572-7.0.0.1_6.8__gf222b87.ari/lib64/pkgconfig:/opt/cray/xpmem/2.2.17-7.0.0.1_3.24__g7acee3a.ari/lib64/pkgconfig:/opt/cray/dmapp/7.1.1-7.0.0.1_5.21__g25e5077.ari/lib64/pkgconfig:/opt/cray/gni-headers/5.0.12.0-7.0.0.1_7.39__g3b1768f.ari/lib64/pkgconfig:/opt/cray/ugni/6.0.14.0-7.0.0.1_7.26__ge78e5b0.ari/lib64/pkgconfig:/opt/cray/udreg/2.3.2-7.0.0.1_4.24__g8175d3d.ari/lib64/pkgconfig:/opt/cray/alps/6.6.50-7.0.0.1_3.38__g962f7108.ari/lib64/pkgconfig:/opt/cray/pe/atp/2.1.3/lib/pkgconfig -LIBSCI_BASE_DIR=/opt/cray/pe/libsci/19.06.1 -G_BROKEN_FILENAMES=1 -HISTSIZE=1000 -CRAYPE_DIR=/opt/cray/pe/craype/2.6.3 -PE_MPICH_GENCOMPS_CRAYCLANG=90 -PE_HDF5_PARALLEL_DEFAULT_REQUIRED_PRODUCTS=PE_MPICH -OFFLOAD_INIT=on_start -PE_MPICH_DIR_CRAYCLANG_DEFAULT64=64 -PE_PKGCONFIG_DEFAULT_PRODUCTS=PE_PARALLEL_NETCDF:PE_NETCDF_HDF5PARALLEL:PE_NETCDF:PE_MPICH:PE_LIBSCI:PE_HDF5_PARALLEL:PE_HDF5:PE_GA:PE_FFTW -CPU=aarch64 -CRAYPE_VERSION=2.6.3 -CRAY_PMI_POST_LINK_OPTS=-L/opt/cray/pe/pmi/5.0.15/lib64 -CRAY_MPICH_PREFIX=/opt/cray/pe/mpt/7.7.11/gni/mpich-allinea/18.2 -CRAY_GNI_HEADERS_INCLUDE_OPTS=-I/opt/cray/gni-headers/5.0.12.0-7.0.0.1_7.39__g3b1768f.ari/include -CVS_RSH=ssh -PBS_O_MAIL=/var/mail/USER -OMP_NUM_THREADS=64 -LESSOPEN=lessopen.sh %s -CRAYPAT_OPTS_EXECUTABLE=libexec64/opts -CRAY_XPMEM_INCLUDE_OPTS=-I/opt/cray/xpmem/2.2.17-7.0.0.1_3.24__g7acee3a.ari/include -BASH_FUNC_module%%=() { eval `/opt/cray/pe/modules/3.2.11.4/bin/modulecmd bash $*` -} -LSB Version: n/a -Distributor ID: SUSE -Description: SUSE Linux Enterprise Server 15 -Release: 15 -Codename: n/a -Linux xcimom2 4.12.14-25.22_5.0.70-cray_ari_s #1 SMP Tue Mar 5 00:08:48 UTC 2019 (bc16c54) aarch64 aarch64 aarch64 GNU/Linux -Architecture: aarch64 -Byte Order: Little Endian -CPU(s): 256 -On-line CPU(s) list: 0-255 -Thread(s) per core: 4 -Core(s) per socket: 32 -Socket(s): 2 -NUMA node(s): 2 -Model: 2 -BogoMIPS: 400.00 -NUMA node0 CPU(s): 0-31,64-95,128-159,192-223 -NUMA node1 CPU(s): 32-63,96-127,160-191,224-255 -Flags: fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics cpuid asimdrdm -MemTotal: 263986916 kB -MemFree: 256186608 kB -MemAvailable: 255984168 kB -Buffers: 102228 kB -Cached: 2213872 kB -SwapCached: 0 kB -Active: 1188920 kB -Inactive: 1211684 kB -Active(anon): 256560 kB -Inactive(anon): 943144 kB -Active(file): 932360 kB -Inactive(file): 268540 kB -Unevictable: 18812 kB -Mlocked: 18812 kB -SwapTotal: 0 kB -SwapFree: 0 kB -Dirty: 60 kB -Writeback: 4 kB -AnonPages: 103876 kB -Mapped: 87284 kB -Shmem: 1098804 kB -Slab: 2663832 kB -SReclaimable: 202088 kB -SUnreclaim: 2461744 kB -KernelStack: 43648 kB -PageTables: 2080 kB -NFS_Unstable: 0 kB -Bounce: 0 kB -WritebackTmp: 0 kB -CommitLimit: 131993456 kB -Committed_AS: 1887436 kB -VmallocTotal: 135290290112 kB -VmallocUsed: 0 kB -VmallocChunk: 0 kB -HugePages_Total: 0 -HugePages_Free: 0 -HugePages_Rsvd: 0 -HugePages_Surp: 0 -Hugepagesize: 2048 kB -NAME MAJ:MIN RM SIZE RO TYPE MOUNTPOINT -loop0 7:0 0 512K 0 loop /var/opt/cray/imps-distribution/squash/mounts/p0 -loop1 7:1 0 128K 0 loop /var/opt/cray/imps-distribution/squash/mounts/global -loop2 7:2 0 1.6G 1 loop /.rootfs_lower_ro -loop3 7:3 0 0 loop -loop4 7:4 0 0 loop -loop5 7:5 0 0 loop -loop6 7:6 0 0 loop -loop7 7:7 0 0 loop diff --git a/sc20-artifacts/sc20-machines-env-info/script_collect_info.sh b/sc20-artifacts/sc20-machines-env-info/script_collect_info.sh deleted file mode 100644 index 51bab7d..0000000 --- a/sc20-artifacts/sc20-machines-env-info/script_collect_info.sh +++ /dev/null @@ -1,19 +0,0 @@ -#! /bin/sh - -# Linux data-gathering commands; adjust as necessary for your platform. -# -# Be sure to remove any information from the output that would violate -# SC's double-blind review policies. - -env | sed "s/$USER/USER/g" -set -x -lsb_release -a -uname -a -lscpu || cat /proc/cpuinfo -cat /proc/meminfo -inxi -F -c0 -lsblk -a -lsscsi -s -module list -nvidia-smi -(lshw -short -quiet -sanitize || lspci) | cat diff --git a/sc20-artifacts/sc20-real-datasets/U_ocean_residuals_TESTING b/sc20-artifacts/sc20-real-datasets/U_ocean_residuals_TESTING deleted file mode 100644 index cf21354..0000000 --- a/sc20-artifacts/sc20-real-datasets/U_ocean_residuals_TESTING +++ /dev/null @@ -1,11610 +0,0 @@ -0.216511748171567 --0.0238521939305869 -0.325832320383366 -0.620340860975584 -1.1480000570616 -1.19032618890379 -1.35912731485224 -1.16928284989219 -0.998259412704579 -0.965657375154376 -0.461522118277468 -0.398478315467766 -0.471870233156694 -0.260951870824133 -0.061354296178862 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ExaGeoStat is a software package provided by KAUST @@ -11,463 +11,424 @@ * * ExaGeoStat main functions. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2020-06-06 + * @date 2022-11-09 * **/ #include "../include/MLE.h" -//*************************************************************************************** +#if defined(EXAGEOSTAT_USE_HICMA) + #include "hicma/hicma_ext/control/hicma_context.h" +#endif /** **************************************************************************** * Current software version. **/ const char *argp_program_version = "Version 1.1.0"; -void MLE_sdregister(MLE_data *data) -{ - int precision = data->precision; - if(precision == 2) //single/double precision. - MORSE_MLE_sdregister_Tile(data); +void MLE_sdregister(MLE_data *data) { + int precision = data->precision; + if (precision == 2) //single/double precision. + EXAGEOSTAT_MLE_sdregister_Tile(data); else printf("MLE_sdregister is only needed with mixed precision mode (no actioin required)\n"); } -void MLE_zvg(MLE_data *data, double * Nrand, double * initial_theta, int n, int ts, int log, int p_grid, int q_grid) - //! Generate Z observation vector using generated or given locations - /*! -- using only dense (single, double, or mixed) precision. - * Returns Z observation vector - * @param[in] data: MLE_data struct with different MLE inputs. - * @param[in] Nrand: A uniform random vector with size n that is used to generate Z . - * @param[in] initial_theta: Theta vector with three parameter (Variance, Range, Smoothness) - * that is used to to generate the Covariance Matrix. - * @param[in] n: Problem size (number spatial locations). - * @param[in] ts: tile size (MB) is used only in the case of HiCMA not MORSE. - * @param[in] log: equals one if the user needs to generate log files for his problem. - * @param[in] p_grid: p_grid in the case of distributed system. - * @param[in] q_grid: q_grid in the case of distributed system. - * */ +void MLE_zvg(MLE_data *data, double* Nrand, double* initial_theta, int n, int ts, int log, int p_grid, int q_grid) +//! Generate Z observation vector using generated or given locations +/*! -- using only dense (single, double, or mixed) precision. + * Returns Z observation vector + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] Nrand: A uniform random vector with size n that is used to generate Z . + * @param[in] initial_theta: Theta vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] n: Problem size (number spatial locations). + * @param[in] ts: tile size (MB) is used only in the case of HiCMA not CHAMELEON. + * @param[in] log: equals one if the user needs to generate log files for his problem. + * @param[in] p_grid: p_grid in the case of distributed system. + * @param[in] q_grid: q_grid in the case of distributed system. + * */ { - data->iter_count = 0; - int async = data->async; - char *computation = data->computation; - int precision = data->precision; + data->iter_count = 0; + int async = data->async; + char *computation = data->computation; + int precision = data->precision; - // printf("Precision: %d,\n", precision); - - if(precision == 0) //double precision. + if (precision == 0) //double precision. { - if ( strcmp (computation, "exact") == 0 && async == 0) - MORSE_MLE_dzvg_Tile(data, Nrand, initial_theta, n, ts, log); - else if ( strcmp (computation, "exact") == 0 && async == 1) - MORSE_MLE_dzvg_Tile_Async(data, Nrand, initial_theta, n, ts, log); - else if ( strcmp (computation, "diag_approx") == 0 && async == 0) - MORSE_MLE_dzvg_Tile(data, Nrand, initial_theta, n, ts, log); - else if ( strcmp (computation, "diag_approx") == 0 && async == 1) - MORSE_MLE_dzvg_Tile_Async(data, Nrand, initial_theta, n, ts, log); + if (strcmp(computation, "exact") == 0 && async == 0) + EXAGEOSTAT_MLE_dzvg_Tile(data, Nrand, initial_theta, n, ts, log); + else if (strcmp(computation, "exact") == 0 && async == 1) + EXAGEOSTAT_MLE_dzvg_Tile_Async(data, Nrand, initial_theta, n, ts, log); + else if (strcmp(computation, "diag_approx") == 0 && async == 0) + EXAGEOSTAT_MLE_dzvg_Tile(data, Nrand, initial_theta, n, ts, log); + else if (strcmp(computation, "diag_approx") == 0 && async == 1) + EXAGEOSTAT_MLE_dzvg_Tile_Async(data, Nrand, initial_theta, n, ts, log); #if defined( EXAGEOSTAT_USE_HICMA ) - else if ( strcmp (computation, "lr_approx") == 0 && async == 0) - HICMA_MLE_dzvg_Tile(data, Nrand, initial_theta, n, ts, log, p_grid, q_grid); - else if ( strcmp (computation, "lr_approx") == 0 && async == 1) - HICMA_MLE_dzvg_Tile_Async(data, Nrand, initial_theta, n, ts, log, p_grid, q_grid); + else if (strcmp(computation, "lr_approx") == 0 && async == 0){ + EXAGEOSTAT_TLR_MLE_dzvg_Tile(data, Nrand, initial_theta, n, ts, log, p_grid, q_grid); + } + else if (strcmp(computation, "lr_approx") == 0 && async == 1) + EXAGEOSTAT_TLR_MLE_dzvg_Tile_Async(data, Nrand, initial_theta, n, ts, log, p_grid, q_grid); #endif - } - - else if(precision == 1) //single precision. + } else if (precision == 1) //single precision. { - if ( strcmp (computation, "exact") == 0 && async == 0) - MORSE_MLE_szvg_Tile(data, Nrand, initial_theta, n, ts, log); - else if ( strcmp (computation, "exact") == 0 && async == 1) - MORSE_MLE_szvg_Tile_Async(data, Nrand, initial_theta, n, ts, log); - else if ( strcmp (computation, "diag_approx") == 0 && async == 0) - MORSE_MLE_szvg_Tile(data, Nrand, initial_theta, n, ts, log); - else if ( strcmp (computation, "diag_approx") == 0 && async == 1) - MORSE_MLE_szvg_Tile_Async(data, Nrand, initial_theta, n, ts, log); -#if defined( EXAGEOSTAT_USE_HICMA ) - //else if ( strcmp (computation, "lr_approx") == 0 && async == 0) - // HICMA_MLE_szvg_Tile(data, Nrand, initial_theta, n, ts, log, p_grid, q_grid); - //else if ( strcmp (computation, "lr_approx") == 0 && async == 1) - // HICMA_MLE_szvg_Tile_Async(data, Nrand, initial_theta, n, ts, log, p_grid, q_grid); -#endif + if (strcmp(computation, "exact") == 0 && async == 0) + EXAGEOSTAT_MLE_szvg_Tile(data, Nrand, initial_theta, n, ts, log); + else if (strcmp(computation, "exact") == 0 && async == 1) + EXAGEOSTAT_MLE_szvg_Tile_Async(data, Nrand, initial_theta, n, ts, log); + else if (strcmp(computation, "diag_approx") == 0 && async == 0) + EXAGEOSTAT_MLE_szvg_Tile(data, Nrand, initial_theta, n, ts, log); + else if (strcmp(computation, "diag_approx") == 0 && async == 1) + EXAGEOSTAT_MLE_szvg_Tile_Async(data, Nrand, initial_theta, n, ts, log); + } else if (precision == 2) //Mixed-precision (single/double). + { + if (strcmp(computation, "exact") == 0 && async == 0) + EXAGEOSTAT_MLE_sdzvg_Tile(data, Nrand, initial_theta, n, ts, log); + else if (strcmp(computation, "exact") == 0 && async == 1) + EXAGEOSTAT_MLE_sdzvg_Tile_Async(data, Nrand, initial_theta, n, ts, log); } +} + +void MLE_ng_zvg(MLE_data *data, double* Nrand, double* initial_theta, int n, int ts, int log, int p_grid, int q_grid) +//! Generate Z observation vector using generated or given locations +/*! -- using only dense (single, double, or mixed) precision. + * Returns Z observation vector + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] Nrand: A uniform random vector with size n that is used to generate Z . + * @param[in] initial_theta: Theta vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] n: Problem size (number spatial locations). + * @param[in] ts: tile size (MB) is used only in the case of HiCMA not CHAMELEON. + * @param[in] log: equals one if the user needs to generate log files for his problem. + * @param[in] p_grid: p_grid in the case of distributed system. + * @param[in] q_grid: q_grid in the case of distributed system. + * */ +{ + data->iter_count = 0; + int async = data->async; + char *computation = data->computation; + int precision = data->precision; - else if(precision == 2) //Mixed-precision (single/double). + if (precision == 0) //double precision. { - if ( strcmp (computation, "exact") == 0 && async == 0) - MORSE_MLE_sdzvg_Tile(data, Nrand, initial_theta, n, ts, log); - else if ( strcmp (computation, "exact") == 0 && async == 1) - MORSE_MLE_sdzvg_Tile_Async(data, Nrand, initial_theta, n, ts, log); - //else if ( strcmp (computation, "diag_approx") == 0 && async == 0) - //MORSE_MLE_szvg_Tile(data, Nrand, initial_theta, n, ts, log); - //else if ( strcmp (computation, "diag_approx") == 0 && async == 1) - //MORSE_MLE_szvg_Tile_Async(data, Nrand, initial_theta, n, ts, log); + if (strcmp(computation, "exact") == 0 && async == 0) + EXAGEOSTAT_MLE_ng_dzvg_Tile(data, Nrand, initial_theta, n, ts, log); + #if defined( EXAGEOSTAT_USE_HICMA ) - //else if ( strcmp (computation, "lr_approx") == 0 && async == 0) - // HICMA_MLE_szvg_Tile(data, Nrand, initial_theta, n, ts, log, p_grid, q_grid); - //else if ( strcmp (computation, "lr_approx") == 0 && async == 1) - // HICMA_MLE_szvg_Tile_Async(data, Nrand, initial_theta, n, ts, log, p_grid, q_grid); + else if (strcmp(computation, "lr_approx") == 0 && async == 0) + EXAGEOSTAT_TLR_MLE_dzvg_ng_Tile(data, Nrand, initial_theta, n, ts, log, p_grid, q_grid); #endif + } else if (precision == 1) //single precision. + { + //// TODO: Implement + } else if (precision == 2) //Mixed-precision (single/double). + { + //// TODO: Implement } - - //else if(strcmp (precision, "mixed") == 0 && async == 0) - //MORSE_MLE_mzvg_Tile(data, Nrand, initial_theta, n, ts, log); - //else if(strcmp (precision, "mixed") == 0 && async == 1) - //MORSE_MLE_mzvg_Tile_Async(data, Nrand, initial_theta, n, ts, log); - } - -//void MLE_zvr(MLE_data *data, int n, char *format) //! Read Z observation vector using a give file. /*! -- using dense or approximate computation * Returns Z observation vector * @param[in] data: MLE_data struct with different MLE inputs. * @param[in] n: Problem size (number spatial locations). * */ -double MLE_alg(unsigned n, const double * theta, double * grad, void * data) +double MLE_alg(unsigned n, const double* theta, double* grad, void *data) //! Maximum Likelihood Evaluation (MLE) - /*! -- using exact or approximation computation, and (single, double, or mixed) precision. - * Returns the loglikelihhod value for the given theta. - * @param[in] n: unsigned variable used by NLOPT package. - * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) - * that is used to to generate the Covariance Matrix. - * @param[in] grad: double variable used by NLOPT package. - * @param[in] data: MLE_data struct with different MLE inputs. - */ +/*! -- using exact or approximation computation, and (single, double, or mixed) precision. + * Returns the loglikelihhod value for the given theta. + * @param[in] n: unsigned variable used by NLOPT package. + * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] grad: double variable used by NLOPT package. + * @param[in] data: MLE_data struct with different MLE inputs. + */ { - char *computation = ((MLE_data*)data)->computation; - int async = ((MLE_data*)data)->async; - int precision = ((MLE_data*)data)->precision; - - //printf("Precision: %d,\n", precision); - // printf("%s - %s\n", computation, __func__); - - if (precision == 0 ){ - if(strcmp (computation, "exact") == 0) - { - if(async == 0) - return MORSE_dmle_Tile(n, theta, grad, data); + char *computation = ((MLE_data *) data)->computation; + int async = ((MLE_data *) data)->async; + int precision = ((MLE_data *) data)->precision; + + if (precision == 0) { + if (strcmp(computation, "exact") == 0) { + if (async == 0) + return EXAGEOSTAT_dmle_Tile(n, theta, grad, data); else - return MORSE_dmle_Tile_Async(n, theta, grad, data); - } - else if (strcmp (computation, "diag_approx") == 0) - { - if(async == 0) - return MORSE_dmle_diag_Tile(n, theta, grad, data); + return EXAGEOSTAT_dmle_Tile_Async(n, theta, grad, data); + } else if (strcmp(computation, "diag_approx") == 0) { + if (async == 0) + return EXAGEOSTAT_dmle_diag_Tile(n, theta, grad, data); else - return MORSE_dmle_diag_Tile_Async(n, theta, grad, data); + return EXAGEOSTAT_dmle_diag_Tile_Async(n, theta, grad, data); } #if defined(EXAGEOSTAT_USE_HICMA) - else if (strcmp (computation, "lr_approx") == 0) - { - if(async == 0) - return HICMA_dmle_Tile(n, theta, grad, data); - else - return HICMA_dmle_Tile_Async(n, theta, grad, data); + else if (strcmp(computation, "lr_approx") == 0) { + if (async == 0){ + return EXAGEOSTAT_TLR_dmle_Tile(n, theta, grad, data); + } + else{ + return EXAGEOSTAT_TLR_dmle_Tile_Async(n, theta, grad, data); + } } #endif - } - else if (precision == 1) //single precision. - { - if(strcmp (computation, "exact") == 0) - { - if(async == 0) - return MORSE_smle_Tile(n, theta, grad, data); - else - return MORSE_smle_Tile_Async(n, theta, grad, data); + } else if (precision == 1) //single precision. + { + if (strcmp(computation, "exact") == 0) { + if (async == 0) { + return EXAGEOSTAT_smle_Tile(n, theta, grad, data); + } else { + return EXAGEOSTAT_smle_Tile_Async(n, theta, grad, data); + } } + } else if (precision == 2) //mixed-precision (single/double). + { + + if (strcmp(computation, "exact") == 0 && async == 0) + return EXAGEOSTAT_sdmle_Tile(n, theta, grad, data); + else if (strcmp(computation, "exact") == 0 && async == 1) + return EXAGEOSTAT_sdmle_Tile_Async(n, theta, grad, data); } - //else if (strcmp (computation, "diag_approx") == 0) - //if(async == 0) - //return MORSE_smle_diag_Tile(n, theta, grad, data); - //else - //return MORSE_smle_diag_Tile_Async(n, theta, grad, data); - //#if defined(EXAGEOSTAT_USE_HICMA) - //else if (strcmp (computation, "lr_approx") == 0) - //if(async == 0) - //return HICMA_smle_Tile(n, theta, grad, data); - //else - //return HICMA_smle_Tile_Async(n, theta, grad, data); - //#endif - - else if (precision == 2) //mixed-precision (single/double). - { - if(strcmp (computation, "exact") == 0 && async == 0) - return MORSE_sdmle_Tile(n, theta, grad, data); - else if(strcmp (computation, "exact") == 0 && async == 1) - return MORSE_sdmle_Tile_Async(n, theta, grad, data); + return 0; +} + +double MLE_ng_alg(unsigned n, const double* theta, double* grad, void *data) +//! Maximum Likelihood Evaluation (MLE) +/*! -- using exact or approximation computation, and (single, double, or mixed) precision. + * Returns the loglikelihhod value for the given theta. + * @param[in] n: unsigned variable used by NLOPT package. + * @param[in] theta: theta Vector with three parameter (Variance, Range, Smoothness) + * that is used to to generate the Covariance Matrix. + * @param[in] grad: double variable used by NLOPT package. + * @param[in] data: MLE_data struct with different MLE inputs. + */ +{ + char *computation = ((MLE_data *) data)->computation; + int async = ((MLE_data *) data)->async; + int precision = ((MLE_data *) data)->precision; + + if (precision == 0) { + if (strcmp(computation, "exact") == 0) { + if (async == 0) + return EXAGEOSTAT_dmle_ng_Tile(n, theta, grad, data); + } + else if (strcmp(computation, "diag_approx") == 0) { + if (async == 0) + //return EXAGEOSTAT_dmle_diag_ng_Tile(n, theta, grad, data); // TODO + return 0; + } +#if defined(EXAGEOSTAT_USE_HICMA) + else if (strcmp(computation, "lr_approx") == 0) { + if (async == 0) + return EXAGEOSTAT_TLR_dmle_ng_Tile(n, theta, grad, data); + } +#endif + } else if (precision == 2) //mixed-precision (single/double). + { + //// TODO: Implement } - // else if (strcmp (computation, "diag_approx") == 0) - // if(async == 0) - // return MORSE_smle_diag_Tile(n, theta, grad, data); - // else - // return MORSE_smle_diag_Tile_Async(n, theta, grad, data); - //#if defined(EXAGEOSTAT_USE_HICMA) - //else if (strcmp (computation, "lr_approx") == 0) - //if(async == 0) - //return HICMA_smle_Tile(n, theta, grad, data); - //else - //return HICMA_smle_Tile_Async(n, theta, grad, data); - //#endif return 0; } void exageostat_init(int *ncores, int *gpus, int *dts, int *lts) //! initialize exageostat (initiate underlying library) - /* @param[in] ncores: number of used CPU cores. - * @param[in] gpus: number of used GPU units. - * @param[in] ts: tile size. - */ +/* @param[in] ncores: number of used CPU cores. + * @param[in] gpus: number of used GPU units. + * @param[in] ts: tile size. + */ { - MORSE_context_t *morse; - morse = morse_context_self(); - if (morse != NULL) { - printf("Another instance is already running...!"); + CHAM_context_t *chamctxt; + chamctxt = chameleon_context_self(); + if (chamctxt != NULL) { + printf("Another instance of Chameleon is already running...!"); + } else { + CHAMELEON_user_tag_size(31, 26); + CHAMELEON_Init(*ncores, *gpus); } - else{ - MORSE_user_tag_size(31, 26); - MORSE_Init(*ncores, *gpus); + +#if defined(EXAGEOSTAT_USE_HICMA) + HICMA_context_t *hicmatxt; + hicmatxt = hicma_context_self(); + if (hicmatxt != NULL) { + printf("Another instance of HiCMA is already running...!"); + } else { + HICMA_user_tag_size(31, 26); + HICMA_Init(*ncores, *gpus); } - // MORSE_Enable(MORSE_AUTOTUNING); - //MORSE_Set(MORSE_TILE_SIZE, *dts); - //MORSE_Set(HICMA_TILE_SIZE, *lts); //should be added to HiCMA +#endif } + void exageostat_finalize() //! finalize exageostat (initiate underlying library) { - MORSE_context_t *morse; - morse = morse_context_self(); - if (morse == NULL) { - printf("No active instance...please use exageostat_init() function to initiate a new instance!\n"); - } - else - MORSE_Finalize(); + CHAM_context_t *chamctxt; + chamctxt = chameleon_context_self(); + if (chamctxt == NULL) { + printf("No active instance oh Chameleon...please use exageostat_init() function to initiate a new instance!\n"); + } else + CHAMELEON_Finalize(); + +#if defined(EXAGEOSTAT_USE_HICMA) + HICMA_context_t *hicmatxt; + hicmatxt = hicma_context_self(); + if (hicmatxt == NULL) { + printf("No active instance of HICMA...please use exageostat_init() function to initiate a new instance!\n"); + } else + HICMA_Finalize(); +#endif } void prediction_init(MLE_data *data, int nZmiss, int nZobs, int ts, int p_grid, int q_grid, int mse_flag) - //! initialize exageostat prediction allocation (allocate memory). - /* @param[in] data: MLE_data struct with different MLE inputs. - * @param[in] nZmiss: number of missing measurements. - * @param[in] nZobs: number of observed measurements. - * @param[in] p_grid: p_grid in the case of distributed system. - * @param[in] q_grid: q_grid in the case of distributed system. - * @param[in] mse_flag: flag to enable or disable Mean Square Error (MSE) computing. - */ +//! initialize exageostat prediction allocation (allocate memory). +/* @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] nZmiss: number of missing measurements. + * @param[in] nZobs: number of observed measurements. + * @param[in] p_grid: p_grid in the case of distributed system. + * @param[in] q_grid: q_grid in the case of distributed system. + * @param[in] mse_flag: flag to enable or disable Mean Square Error (MSE) computing. + */ { - if ( data->precision == 0) - { if(strcmp(data->computation,"exact") == 0 || strcmp(data->computation,"diag_approx") == 0 || strcmp(data->computation,"lr_approx") == 0) - MORSE_dmle_Predict_Allocate(data, nZmiss, nZobs, ts, p_grid, q_grid, mse_flag); - //#if defined(EXAGEOSTAT_USE_HICMA) - // else if(strcmp(data->computation,"lr_approx") == 0) - // HICMA_dmle_Predict_Allocate(data, nZmiss, nZobs, ts, p_grid, q_grid, mse_flag); - //#endif - } - - else if (data->precision == 1) - { if(strcmp(data->computation,"exact") == 0 || strcmp(data->computation,"diag_approx") == 0) - MORSE_smle_Predict_Allocate(data, nZmiss, nZobs, ts, p_grid, q_grid, mse_flag); - } - - - else if (data->precision == 2) - { if(strcmp(data->computation,"exact") == 0 || strcmp(data->computation,"diag_approx") == 0) - - MORSE_sdmle_Predict_Allocate(data, nZmiss, nZobs, ts, p_grid, q_grid, mse_flag); - + if (data->precision == 0) { + if (strcmp(data->computation, "exact") == 0 || strcmp(data->computation, "diag_approx") == 0 || + strcmp(data->computation, "lr_approx") == 0) + EXAGEOSTAT_dmle_Predict_Allocate(data, nZmiss, nZobs, ts, p_grid, q_grid, mse_flag); + } else if (data->precision == 1) { + if (strcmp(data->computation, "exact") == 0 || strcmp(data->computation, "diag_approx") == 0) + EXAGEOSTAT_smle_Predict_Allocate(data, nZmiss, nZobs, ts, p_grid, q_grid, mse_flag); + } else if (data->precision == 2) { + if (strcmp(data->computation, "exact") == 0 || strcmp(data->computation, "diag_approx") == 0) + EXAGEOSTAT_sdmle_Predict_Allocate(data, nZmiss, nZobs, ts, p_grid, q_grid, mse_flag); } - - /* #if defined(EXAGEOSTAT_USE_HICMA) - else if(strcmp(data->computation,"lr_approx") == 0) - HICMA_smle_Predict_Allocate(data, nZmiss, nZobs, ts, p_grid, q_grid, mse_flag); -#endif -*/ - /* - else if (strcmp (data->precision, "mixed") == 0) - if(strcmp(data->computation,"exact") == 0 || strcmp(data->computation,"diag_approx") == 0) - MORSE_mmle_Predict_Allocate(data, nZmiss, nZobs, ts, p_grid, q_grid, mse_flag); -#if defined(EXAGEOSTAT_USE_HICMA) -else if(strcmp(data->computation,"lr_approx") == 0) -HICMA_mmle_Predict_Allocate(data, nZmiss, nZobs, ts, p_grid, q_grid, mse_flag); -#endif -*/ } void mloe_mmom_init(MLE_data *data, int nZmiss, int nZobs, int ts, int p_grid, int q_grid) - //! initialize exageostat prediction allocation (allocate memory). - /* @param[in] data: MLE_data struct with different MLE inputs. - * @param[in] nZmiss: number of missing measurements. - * @param[in] nZobs: number of observed measurements. - * @param[in] p_grid: p_grid in the case of distributed system. - * @param[in] q_grid: q_grid in the case of distributed system. - * @param[in] mse_flag: flag to enable or disable Mean Square Error (MSE) computing. - */ +//! initialize exageostat prediction allocation (allocate memory). +/* @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] nZmiss: number of missing measurements. + * @param[in] nZobs: number of observed measurements. + * @param[in] p_grid: p_grid in the case of distributed system. + * @param[in] q_grid: q_grid in the case of distributed system. + * @param[in] mse_flag: flag to enable or disable Mean Square Error (MSE) computing. + */ { - - // if ( data->precision == 0) - // { - // if(strcmp(data->computation,"exact") == 0 || strcmp(data->computation,"diag_approx") == 0) - MORSE_dmle_mloe_mmom_Allocate(data, nZmiss, nZobs, ts, p_grid, q_grid); - // } - /* -#if defined(EXAGEOSTAT_USE_HICMA) -else if(strcmp(data->computation,"lr_approx") == 0) -HICMA_dmle_Predict_Allocate(data, nZmiss, nZobs, ts, p_grid, q_grid, mse_flag); -#endif -} - -else if (data->precision == 1) -{ if(strcmp(data->computation,"exact") == 0 || strcmp(data->computation,"diag_approx") == 0) -MORSE_smle_Predict_Allocate(data, nZmiss, nZobs, ts, p_grid, q_grid, mse_flag); -} - - -else if (data->precision == 2) -{ if(strcmp(data->computation,"exact") == 0 || strcmp(data->computation,"diag_approx") == 0) - -MORSE_sdmle_Predict_Allocate(data, nZmiss, nZobs, ts, p_grid, q_grid, mse_flag); - + EXAGEOSTAT_dmle_mloe_mmom_Allocate(data, nZmiss, nZobs, ts, p_grid, q_grid); } -*/ - } void mloe_mmom_finalize(MLE_data *data) - //! Destory and free prediction memory - /*! allocations. - * @param[in] data: MLE_data struct with different MLE inputs. - */ +//! Destory and free prediction memory +/*! allocations. + * @param[in] data: MLE_data struct with different MLE inputs. + */ { - if(strcmp(data->computation,"exact") == 0 || strcmp(data->computation,"diag_approx") == 0) - { - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->desck_t) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->desck_a) ); - // MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descK_atmp) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descK_t) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descK_a) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descexpr1) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descexpr2) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descexpr3) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descexpr4) ); + if (strcmp(data->computation, "exact") == 0 || strcmp(data->computation, "diag_approx") == 0) { + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->desck_t)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->desck_a)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descK_t)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descK_a)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descexpr1)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descexpr2)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descexpr3)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descexpr4)); } - /* -#if defined(EXAGEOSTAT_USE_HICMA) -else if(strcmp(data->computation,"lr_approx") == 0) -{ -MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descZobs) ); -MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descZactual) ); -MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descZmiss) ); -MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->hicma_descC12D) ); -MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->hicma_descC12UV) ); -MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->hicma_descC12rk) ); -MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->hicma_descC22D) ); -MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->hicma_descC22UV) ); -MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->hicma_descC22rk) ); -} -#endif -*/ } void prediction_finalize(MLE_data *data) - //! Destory and free prediction memory - /*! allocations. - * @param[in] data: MLE_data struct with different MLE inputs. - */ +//! Destory and free prediction memory +/*! allocations. + * @param[in] data: MLE_data struct with different MLE inputs. + */ { - if(strcmp(data->computation,"exact") == 0 || strcmp(data->computation,"diag_approx") == 0) - { - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descZobs) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descZactual) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descZmiss) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descC12) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descC22) ); - - } + if (strcmp(data->kernel_fun, "univariate_matern_non_gaussian") == 0 + || strcmp(data->kernel_fun, "univariate_exp_non_gaussian") == 0) { + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descZobs)); + if ((CHAM_desc_t **) &(data->descZactual) != NULL) + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descZactual)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descZmiss)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descr)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descrcpy)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descC22)); + } else { + if (strcmp(data->computation, "exact") == 0 || strcmp(data->computation, "diag_approx") == 0) { + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descZobs)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descZactual)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descZmiss)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descC12)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descC22)); + } #if defined(EXAGEOSTAT_USE_HICMA) - else if(strcmp(data->computation,"lr_approx") == 0) - { - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descZobs) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descZactual) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descZmiss) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->hicma_descC12D) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->hicma_descC12UV) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->hicma_descC12rk) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->hicma_descC22D) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->hicma_descC22UV) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->hicma_descC22rk) ); - } + else if (strcmp(data->computation, "lr_approx") == 0) { + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descZobs)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descZactual)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descZmiss)); + HICMA_Desc_Destroy((HICMA_desc_t **) &(data->hicma_descC12D)); + HICMA_Desc_Destroy((HICMA_desc_t **) &(data->hicma_descC12UV)); + HICMA_Desc_Destroy((HICMA_desc_t **) &(data->hicma_descC12rk)); + HICMA_Desc_Destroy((HICMA_desc_t **) &(data->hicma_descC22D)); + HICMA_Desc_Destroy((HICMA_desc_t **) &(data->hicma_descC22UV)); + HICMA_Desc_Destroy((HICMA_desc_t **) &(data->hicma_descC22rk)); + } #endif + } } void MLE_Finalize(MLE_data *data) - //! Destory and free MLE memory - /*! allocations. - * @param[in] data: MLE_data struct with different MLE inputs. - */ +//! Destory and free MLE memory +/*! allocations. + * @param[in] data: MLE_data struct with different MLE inputs. + */ { - if(strcmp(data->computation,"exact") == 0 || strcmp(data->computation,"diag_approx") == 0) - { - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descC) ); - //MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descZ) ); - //MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descZcpy) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descproduct) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descdet) ); + if (strcmp(data->computation, "exact") == 0 || strcmp(data->computation, "diag_approx") == 0) { + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descC)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descproduct)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descdet)); } #if defined(EXAGEOSTAT_USE_HICMA) - else if(strcmp(data->computation,"lr_approx") == 0) - { - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->hicma_descCD) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->hicma_descCUV) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->hicma_descCrk) ); - //MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->hicma_descZ) ); - //MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->hicma_descZcpy) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->hicma_descproduct) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->hicma_descdet) ); + else if (strcmp(data->computation, "lr_approx") == 0) { + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->hicma_descCD)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->hicma_descCUV)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->hicma_descCrk)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->hicma_descproduct)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->hicma_descdet)); } #endif - // MORSE_Finalize(); } - -void MLOE_MMOM_Finalize(MLE_data *data) -{ - - - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->desck_t) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->desck_a) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descK_ttmp) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->desck_atmp) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descK_t) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->desck_ttmp) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descK_a) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descexpr1) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descexpr2) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descexpr3) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descexpr4) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->desctruthalpha) ); - MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->descestimatedalpha) ); - // MORSE_Desc_Destroy( (MORSE_desc_t **)&(data->desc_mloe_mmom) ); +void MLOE_MMOM_Finalize(MLE_data *data) { + + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->desck_t)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->desck_a)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->desck_atmp)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descK_t)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->desck_ttmp)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descK_a)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descexpr1)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descexpr2)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descexpr3)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descexpr4)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->desctruthalpha)); + CHAMELEON_Desc_Destroy((CHAM_desc_t **) &(data->descestimatedalpha)); } -void MLE_get_zobs(MLE_data *data, double *z, int n) - //! Convert measurements vector from Lapack - /*! represenation to Chameleon representation. - * @param[in] data: MLE_data struct with different MLE inputs. - * @param[in] z: Lapack measurements vector. - * @param[in] n: number of meaurements. - */ +void MLE_get_zobs(MLE_data *data, double* z, int n) +//! Convert measurements vector from Lapack +/*! represenation to Chameleon representation. + * @param[in] data: MLE_data struct with different MLE inputs. + * @param[in] z: Lapack measurements vector. + * @param[in] n: number of meaurements. + */ { - if(strcmp(data->computation,"exact") == 0 || strcmp(data->computation,"diag_approx") == 0) - MORSE_Tile_to_Lapack( ((MLE_data*)data)->descZcpy, z, n); + if (strcmp(data->computation, "exact") == 0 || strcmp(data->computation, "diag_approx") == 0) + CHAMELEON_Tile_to_Lapack(((MLE_data *) data)->descZcpy, z, n); #if defined(EXAGEOSTAT_USE_HICMA) - else if(strcmp(data->computation,"lr_approx") == 0) - MORSE_Tile_to_Lapack( ((MLE_data*)data)->hicma_descZcpy, z, n); + else if (strcmp(data->computation, "lr_approx") == 0) + HICMA_Tile_to_Lapack(((MLE_data *) data)->hicma_descZcpy, z, n); #endif } diff --git a/src/include/MLE.h b/src/include/MLE.h index 188935b..10dea0c 100644 --- a/src/include/MLE.h +++ b/src/include/MLE.h @@ -1,6 +1,6 @@ /** * - * Copyright (c) 2017-2020, King Abdullah University of Science and Technology + * Copyright (c) 2017-2023, King Abdullah University of Science and Technology * All rights reserved. * * ExaGeoStat is a software package provided by KAUST @@ -11,54 +11,66 @@ * * Header file of ExaGeoStat main functions. * - * @version 1.1.0 + * @version 1.2.0 * * @author Sameh Abdulah - * @date 2020-06-06 + * @date 2022-11-09 * **/ #ifndef _MLE_H_ #define _MLE_H_ + #include "MLE_exact.h" +#include "MLE_ng_exact.h" #include "MLE_exact_s.h" #include "MLE_approx.h" #include "MLE_sdexact.h" + #if defined( EXAGEOSTAT_USE_HICMA ) + #include "MLE_lr.h" #include "hicma_constants.h" +#include + #endif + /** **************************************************************************** * Macro to print a warning message to the user about the propoer way to input his arguments **/ -#define USAGE(args, details) fprintf(stderr," Proper Usage is : ./examples/zgen_mle_test "args" \n" details); +void MLE_zvg(MLE_data *data, double* Nrand, double* initial_theta, + int n, int ts, int log, + int p_grid, int q_grid); + +void MLE_ng_zvg(MLE_data *data, double* Nrand, double* initial_theta, + int n, int ts, int log, + int p_grid, int q_grid); -void MLE_zvg(MLE_data *data, double *Nrand, double *initial_theta, - int n, int ts, int log, - int p_grid, int q_grid); -//void MLE_zvr(MLE_data *data, int n, char *format); -// -double MLE_alg(unsigned n, const double *theta, double *grad, - void *data); +double MLE_alg(unsigned n, const double* theta, double* grad, + void *data); + +double MLE_ng_alg(unsigned n, const double* theta, double* grad, + void *data); void exageostat_init(int *ncores, int *gpus, int *dts, - int *lts); + int *lts); void exageostat_finalize(); void prediction_init(MLE_data *data, int nZmiss, int nZobs, - int ts, int p_grid, int q_grid, - int mse_flag); + int ts, int p_grid, int q_grid, + int mse_flag); void prediction_finalize(MLE_data *data); void MLE_Finalize(MLE_data *data); -void MLE_get_zobs(MLE_data *data, double *z, int n); +void MLE_get_zobs(MLE_data *data, double* z, int n); void MLE_sdregister(MLE_data *data); void mloe_mmom_init(MLE_data *data, int nZmiss, int nZobs, - int ts, int p_grid, int q_grid); + int ts, int p_grid, int q_grid); void MLOE_MMOM_Finalize(MLE_data *data); + #endif diff --git a/stars-h b/stars-h deleted file mode 160000 index aacd9cc..0000000 --- a/stars-h +++ /dev/null @@ -1 +0,0 @@ -Subproject commit aacd9cc065c91cd4c00a2fd1f2d1c977d9cf5b81

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