README.md

cuSPARSE Generic APIs - cusparseSparseToDense

Description

This sample demonstrates the usage of cusparseSparseToDense for performing sparse matrix to dense matrix conversion, where the sparse matrix is represented in CSR (Compressed Sparse Row) storage format.

cusparseSparseToDense Documentation

A (csr) -> B (dense)

Building

• Command line

  nvcc -I<cuda_toolkit_path>/include sparse2dense_csr_example.c -o sparse2dense_csr_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 3.5, SM 3.7, SM 5.0, SM 5.2, SM 5.3, SM 6.0, SM 6.1, SM 6.2, 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, ppc64le, arm64
• Supported Compilers: gcc, clang, Intel icc, IBM xlc, Microsoft msvc, Nvidia HPC SDK nvc
• Language: C99

Prerequisites

• CUDA 11.1.1 toolkit (or above) and compatible driver (see CUDA Driver Release Notes).
• CMake 3.9 or above on Windows