README.md

cuSPARSE Generic APIs - cusparseSpMM Blocked ELL

Description

This sample demonstrates the usage of cusparseSpMM for performing sparse matrix - dense matrix multiplication, where the sparse matrix is represented in Blocked-ELL format.

cusparseSpMM Documentation

C = alpha * A * B + beta * C

Building

• Command line

  nvcc -I<cuda_toolkit_path>/include spmm_blockedell_example.c -o spmm_blockedell_example -lcusparse

• Linux

  make

• Windows/Linux

  mkdir build
  cd build
  cmake ..
  make

  On Windows, instead of running the last build step, open the Visual Studio Solution that was created and build.

Support

• Supported SM Architectures: SM 7.0, SM 7.2, SM 7.5, SM 8.0, SM 8.6, SM 8.9, SM 9.0
• Supported OSes: Linux, Windows, QNX, Android
• Supported CPU Architectures: x86_64, arm64
• Supported Compilers: gcc, clang, Intel icc, Microsoft msvc, Nvidia HPC SDK nvc
• Language: C++03

Prerequisites

• CUDA 11.2.1 toolkit (or above) and compatible driver (see CUDA Driver Release Notes).
• CMake 3.9 or above on Windows