cuSPARSE Generic APIs - cusparseSpSV CSR

Description

This sample demonstrates the usage of cusparseSpSV for performing sparse triangular solver with single right-hand side, where the sparse matrix is represented in CSR (Compressed Sparse Row) storage format. The solver is configured with CUSPARSE_FILL_MODE_LOWER for the fill mode, indicating that only the lower triangular part of the matrix is used, and CUSPARSE_DIAG_TYPE_NON_UNIT for the diagonal type.

op(A) * X = alpha * Y, where X is the output dense vector and op(Y) is the input dense vector (RHS).

Building

• Command line

  nvcc -I<cuda_toolkit_path>/include spsv_csr_example.c -o spsv_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 11.3 toolkit (or above) and compatible driver (see CUDA Driver Release Notes).
• CMake 3.9 or above on Windows