gpsvInterleavedBatch

cuSPARSE APIs - cusparseSgpsvInterleavedBatch

Description

The example solves two penta-diagonal systems and assumes data layout is NOT interleaved format. Before calling gpsvInterleavedBatch, cublasXgeam is used to transform the data layout, from aggregate format to interleaved format. If the user can prepare interleaved format, no need to transpose the data.

cusparseSgpsvInterleavedBatch Documentation

Building

• Command line

  nvcc -I<cuda_toolkit_path>/include gpsvInterleavedBatch_example.c -o gpsvInterleavedBatch_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 11.0 toolkit (or above) and compatible driver (see CUDA Driver Release Notes).
• CMake 3.9 or above on Windows

Usage

$  ./gpsvInterleavedBatch_example

Sample output:

bufferSize = 64
==== x1 = inv(A1)*b1
x1[0] = -0.059152
x1[1] = 0.342773
x1[2] = -0.129464
x1[3] = 0.198242
|b1 - A1*x1| = 7.152557E-07

==== x2 = inv(A2)*b2
x2[0] = -0.001203
x2[1] = 0.279155
x2[2] = -0.041607
x2[3] = 0.089761
|b2 - A2*x2| = 4.768372E-07