spmma

cusparseLt - cusparseMatMul

Description

This sample demonstrates the usage of cuSPARSELt library and cusparseMatMul APIs for performing structured matrix - dense matrix multiplication by exploiting NVIDIA Sparse Tensor Cores, where the structured matrix is compressed with 50% sparsity ratio.

cusparseLt Documentation

C = alpha * A * B + beta * C

where A, B, C are dense matrices

Building

• Linux

  make

• or in alternative:

  mkdir build
  cd build
  cmake ..
  make

Support

• Supported SM Architectures: SM 8.0, SM 8.6
• Supported OSes: Linux, Windows
• Supported CPU Architectures: x86_64, arm64
• Supported Compilers: gcc, clang, Intel icc, IBM xlc, Microsoft msvc, Nvidia HPC SDK nvc
• Language: C++14

Prerequisites

• CUDA 11.2 toolkit (or above) and compatible driver (see CUDA Driver Release Notes).
• cusparseLt
• CMake 3.9 or above