tnl-benchmark-spmv

Benchmarks for the sparse matrix–vector multiplication (SpMV) with matrix formats in TNL.

Getting started

1. Install Git.

2. Clone the repository:

   git clone https://gitlab.com/tnl-project/tnl-benchmark-spmv.git
   

3. Install the necessary tools and dependencies:

   • CMake build system (version 3.24 or newer)
   • CUDA toolkit (version 11 or newer)
   • compatible host compiler (e.g. GCC or Clang)

4. Configure the build using cmake in the root path of the Git repository:

   cmake -B build -S . <additional_configure_options...>
   

   This will use build in the current path as the build directory. The path for the -S option corresponds to the root path of the project. You may use additional options to configure the build:

   • -DCMAKE_BUILD_TYPE=<type> where <type> is one of Debug, Release, RelWithDebInfo
   • -DCMAKE_CUDA_ARCHITECTURES=<arch> – to build for a CUDA architecture other than "native"

5. Build the targets using cmake:

   cmake --build build
   

6. Edit the launcher script scripts/run-benchmark as appropriate and run it:

   ./scripts/run-benchmark