hipify-clang
is a clang-based tool to translate CUDA source code into portable HIP C++ automatically.
hipify-clang
requires:
-
LLVM+CLANG of at least version 3.8.0, the latest stable and recommended release: 6.0.1 (Linux and windows).
-
CUDA at least version 7.0, the latest supported version is 9.0.
LLVM release version | CUDA latest supported version | Windows | Linux |
---|---|---|---|
3.8.0 | 7.5 | + | + |
3.8.1 | 7.5 | + | + |
3.9.0 | 7.5 | + | + |
3.9.1 | 7.5 | + | + |
4.0.0 | 8.0 | + | + |
4.0.1 | 8.0 | + | + |
5.0.0 | 8.0 | + | + |
5.0.1 | 8.0 | + | + |
5.0.2 | 8.0 | + | + |
6.0.0 | 9.0 | + | + |
6.0.1 | 9.0 | + LATEST STABLE RELEASE |
+ LATEST STABLE RELEASE |
7.0.0 | 9.2 | - not working due to the clang's bug 38811 |
- not working due to the clang's bug 36384 |
7.0.1 | 9.2 | - not working due to the clang's bug 38811 |
- not working due to the clang's bug 36384 |
7.1.0 | 9.2 (?) | - LLVM 7.1.0 is not yet released |
- LLVM 7.1.0 is not yet released |
8.0.0 | 10.0 (?) | - LLVM 8.0.0 is not yet released |
- LLVM 8.0.0 is not yet released |
In most cases, you can get a suitable version of LLVM+CLANG with your package manager.
Failing that or having multiple versions of LLVM, you can download a release archive, build or install it, and set
CMAKE_PREFIX_PATH so cmake
can find it; for instance: -DCMAKE_PREFIX_PATH=f:\LLVM\6.0.1\dist
Assuming this repository is at ./HIP
:
cd hipify-clang
mkdir build dist
cd build
cmake \
-DCMAKE_INSTALL_PREFIX=../dist \
-DCMAKE_BUILD_TYPE=Release \
..
make -j install
On Windows, the following option should be specified for cmake
at first place: -G "Visual Studio 15 2017 Win64"
; the generated hipify-clang.sln
should be built by Visual Studio 15 2017
instead of make.
Debug build type -DCMAKE_BUILD_TYPE=Debug
is also supported and tested; LLVM+CLANG
should be built in Debug
mode as well.
64-bit build mode -Thost=x64
is supported as well; LLVM+CLANG
should be built in 64-bit mode as well.
The binary can then be found at ./dist/bin/hipify-clang
.
hipify-clang
has unit tests using LLVM lit
/FileCheck
.
LLVM+CLANG should be built from sources, Pre-Built Binaries are not exhaustive for testing.
To run it:
-
Build
LLVM+CLANG
:cd llvm mkdir build dist cd build
- Linux:
cmake \ -DCMAKE_INSTALL_PREFIX=../dist \ -DLLVM_SOURCE_DIR=../llvm \ -DCMAKE_BUILD_TYPE=Release \ ../llvm make -j install
- Windows:
cmake \
-G "Visual Studio 15 2017 Win64" \
-DCMAKE_INSTALL_PREFIX=../dist \
-DLLVM_SOURCE_DIR=../llvm \
-DCMAKE_BUILD_TYPE=Release \
-Thost=x64 \
../llvm
Run Visual Studio 15 2017
, open the generated LLVM.sln
, build all, build project INSTALL
.
-
Ensure
CUDA
of minimum version 7.5 is installed.-
Having multiple CUDA installations to choose a particular version the
DCUDA_TOOLKIT_ROOT_DIR
option should be specified:-
Linux:
-DCUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda-8.0
-
Windows:
-DCUDA_TOOLKIT_ROOT_DIR="c:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v9.0"
-DCUDA_SDK_ROOT_DIR="c:/ProgramData/NVIDIA Corporation/CUDA Samples/v9.0"
-
-
-
Ensure
cuDNN
of the version corresponding to CUDA's version is installed.-
Path to cuDNN should be specified by the
CUDA_DNN_ROOT_DIR
option:-
Linux:
-DCUDA_DNN_ROOT_DIR=/srv/CUDNN/cudnn-8.0-v7.1
-
Windows:
-DCUDA_DNN_ROOT_DIR=f:/CUDNN/cudnn-9.0-windows10-x64-v7.1
-
-
-
Ensure
python
of minimum required version 2.7 is installed. -
Ensure
lit
andFileCheck
are installed - these are distributed with LLVM.-
Install
lit
intopython
:-
Linux:
python /srv/git/LLVM/6.0.1/llvm/utils/lit/setup.py install
-
Windows:
python f:/LLVM/6.0.1/llvm/utils/lit/setup.py install
-
-
Starting with LLVM 6.0.1 path to
llvm-lit
python script should be specified by theLLVM_EXTERNAL_LIT
option:-
Linux:
-DLLVM_EXTERNAL_LIT=/srv/git/LLVM/6.0.1/build/bin/llvm-lit
-
Windows:
-DLLVM_EXTERNAL_LIT=f:/LLVM/6.0.1/build/Release/bin/llvm-lit.py
-
-
-
Set
HIPIFY_CLANG_TESTS
option turned on:-DHIPIFY_CLANG_TESTS=1
. -
Run
cmake
: -
Run tests:
-
Linux:
make test-hipify
. -
Windows: run
Visual Studio 15 2017
, open the generatedhipify-clang.sln
, build projecttest-hipify
.
-
On Linux (Ubuntu 14-18) the following configurations are tested:
LLVM 5.0.0 - 6.0.1, CUDA 8.0, cudnn-8.0
Build system for the above configurations:
Python 2.7 (min), cmake 3.12.3 (min), GNU C/C++ 5.4.0 (min).
Here is an example of building hipify-clang
with testing support on Ubuntu 16.04
:
cmake
-DHIPIFY_CLANG_TESTS=1 \
-DCMAKE_BUILD_TYPE=Release \
-DCMAKE_INSTALL_PREFIX=../dist \
-DCMAKE_PREFIX_PATH=/srv/git/LLVM/6.0.1/dist \
-DCUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda-8.0 \
-DCUDA_DNN_ROOT_DIR=/srv/CUDNN/cudnn-8.0-v7.1 \
-DLLVM_EXTERNAL_LIT=/srv/git/LLVM/6.0.1/build/bin/llvm-lit \
..
A corresponding successful output:
-- The C compiler identification is GNU 5.4.0
-- The CXX compiler identification is GNU 5.4.0
-- Check for working C compiler: /usr/bin/cc
-- Check for working C compiler: /usr/bin/cc -- works
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Detecting C compile features
-- Detecting C compile features - done
-- Check for working CXX compiler: /usr/bin/c++
-- Check for working CXX compiler: /usr/bin/c++ -- works
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Found LLVM 6.0.1:
-- - CMake module path: /srv/git/LLVM/6.0.1/dist/lib/cmake/llvm
-- - Include path : /srv/git/LLVM/6.0.1/dist/include
-- - Binary path : /srv/git/LLVM/6.0.1/dist/bin
-- Linker detection: GNU ld
-- Found PythonInterp: /usr/bin/python2.7 (found suitable version "2.7.12", minimum required is "2.7")
-- Found lit: /usr/local/bin/lit
-- Found FileCheck: /srv/git/LLVM/6.0.1/dist/bin/FileCheck
-- Looking for pthread.h
-- Looking for pthread.h - found
-- Looking for pthread_create
-- Looking for pthread_create - not found
-- Looking for pthread_create in pthreads
-- Looking for pthread_create in pthreads - not found
-- Looking for pthread_create in pthread
-- Looking for pthread_create in pthread - found
-- Found Threads: TRUE
-- Found CUDA: /usr/local/cuda-8.0 (found version "8.0")
-- Configuring done
-- Generating done
-- Build files have been written to: /srv/git/HIP/hipify-clang/build
make test-hipify
A corresponding successful output:
[100%] Running HIPify regression tests
CUDA 8.0 will be used for testing.
-- Testing: 35 tests, 12 threads --
PASS: hipify :: unit_tests/headers/headers_test_05.cu (1 of 35)
PASS: hipify :: unit_tests/headers/headers_test_01.cu (2 of 35)
PASS: hipify :: unit_tests/headers/headers_test_02.cu (3 of 35)
PASS: hipify :: unit_tests/headers/headers_test_03.cu (4 of 35)
PASS: hipify :: unit_tests/libraries/cuBLAS/cublas_0_based_indexing.cu (5 of 35)
PASS: hipify :: unit_tests/headers/headers_test_06.cu (6 of 35)
PASS: hipify :: unit_tests/headers/headers_test_07.cu (7 of 35)
PASS: hipify :: unit_tests/libraries/CAFFE2/caffe2_02.cu (8 of 35)
PASS: hipify :: unit_tests/headers/headers_test_04.cu (9 of 35)
PASS: hipify :: unit_tests/headers/headers_test_08.cu (10 of 35)
PASS: hipify :: unit_tests/libraries/cuBLAS/cublas_1_based_indexing.cu (11 of 35)
PASS: hipify :: unit_tests/libraries/cuBLAS/cublas_sgemm_matrix_multiplication.cu (12 of 35)
PASS: hipify :: unit_tests/libraries/cuBLAS/rocBLAS/cublas_1_based_indexing_rocblas.cu (13 of 35)
PASS: hipify :: unit_tests/libraries/cuBLAS/rocBLAS/cublas_0_based_indexing_rocblas.cu (14 of 35)
PASS: hipify :: unit_tests/libraries/cuComplex/cuComplex_Julia.cu (15 of 35)
PASS: hipify :: unit_tests/libraries/cuBLAS/rocBLAS/cublas_sgemm_matrix_multiplication_rocblas.cu (16 of 35)
PASS: hipify :: unit_tests/libraries/cuDNN/cudnn_softmax.cu (17 of 35)
PASS: hipify :: unit_tests/libraries/cuFFT/simple_cufft.cu (18 of 35)
PASS: hipify :: unit_tests/samples/allocators.cu (19 of 35)
PASS: hipify :: unit_tests/libraries/cuSPARSE/cuSPARSE_02.cu (20 of 35)
PASS: hipify :: unit_tests/libraries/cuSPARSE/cuSPARSE_01.cu (21 of 35)
PASS: hipify :: unit_tests/libraries/cuSPARSE/cuSPARSE_03.cu (22 of 35)
PASS: hipify :: unit_tests/samples/coalescing.cu (23 of 35)
PASS: hipify :: unit_tests/libraries/cuDNN/cudnn_convolution_forward.cu (24 of 35)
PASS: hipify :: unit_tests/libraries/cuRAND/poisson_api_example.cu (25 of 35)
PASS: hipify :: unit_tests/libraries/CAFFE2/caffe2_01.cu (26 of 35)
PASS: hipify :: unit_tests/samples/intro.cu (27 of 35)
PASS: hipify :: unit_tests/samples/static_shared_memory.cu (28 of 35)
PASS: hipify :: unit_tests/samples/axpy.cu (29 of 35)
PASS: hipify :: unit_tests/samples/dynamic_shared_memory.cu (30 of 35)
PASS: hipify :: unit_tests/samples/square.cu (31 of 35)
PASS: hipify :: unit_tests/samples/cudaRegister.cu (32 of 35)
PASS: hipify :: unit_tests/samples/vec_add.cu (33 of 35)
PASS: hipify :: unit_tests/headers/headers_test_09.cu (34 of 35)
PASS: hipify :: unit_tests/libraries/cuRAND/benchmark_curand_generate.cpp (35 of 35)
Testing Time: 1.81s
Expected Passes : 35
[100%] Built target test-hipify
On Windows the following configurations are tested:
LLVM 6.0.0 - 6.0.1, CUDA 9.0, cudnn-9.0
LLVM 5.0.0 - 5.0.2, CUDA 8.0, cudnn-8.0
Build system for the above configurations:
Python 3.6 (min), cmake 3.12.3 (min), Visual Studio 15.5 2017 (min).
Here is an example of building hipify-clang
with testing support on Windows 10
by Visual Studio 15 2017
:
cmake
-G "Visual Studio 15 2017 Win64" \
-DHIPIFY_CLANG_TESTS=1 \
-DCMAKE_BUILD_TYPE=Release \
-DCMAKE_INSTALL_PREFIX=../dist \
-DCMAKE_PREFIX_PATH=f:/LLVM/6.0.1/dist \
-DCUDA_TOOLKIT_ROOT_DIR="c:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v9.0" \
-DCUDA_SDK_ROOT_DIR="c:/ProgramData/NVIDIA Corporation/CUDA Samples/v9.0" \
-DCUDA_DNN_ROOT_DIR=f:/CUDNN/cudnn-9.0-windows10-x64-v7.1 \
-DLLVM_EXTERNAL_LIT=f:/LLVM/6.0.1/build/Release/bin/llvm-lit.py \
-Thost=x64
..
A corresponding successful output:
-- Found LLVM 6.0.1:
-- - CMake module path: F:/LLVM/6.0.1/dist/lib/cmake/llvm
-- - Include path : F:/LLVM/6.0.1/dist/include
-- - Binary path : F:/LLVM/6.0.1/dist/bin
-- Found PythonInterp: C:/Program Files/Python36/python.exe (found suitable version "3.6.4", minimum required is "3.6")
-- Found lit: C:/Program Files/Python36/Scripts/lit.exe
-- Found FileCheck: F:/LLVM/6.0.1/dist/bin/FileCheck.exe
-- Found CUDA: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v9.0 (found version "9.0")
-- Configuring done
-- Generating done
-- Build files have been written to: f:/HIP/hipify-clang/build
To process a file, hipify-clang
needs access to the same headers that would be needed to compile it with clang.
For example:
./hipify-clang square.cu --cuda-path=/usr/local/cuda-8.0 -I /usr/local/cuda-8.0/samples/common/inc
hipify-clang
arguments are given first, followed by a separator, and then the arguments you'd pass to clang
if you
were compiling the input file. The Clang manual for compiling CUDA
may be useful.
For a list of hipify-clang
options, run hipify-clang --help
.
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