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Kokkos Instructions for Spack

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Kaan Olgu 2023-06-17 10:08:01 +00:00
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docs/spack_instructions.md
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```shell
# Example 1: CUDA no mem and flags specified
$ spack install babelstream +cuda cuda_arch=70
$ spack install babelstream +cuda cuda_arch=<70>
# Example 2: for Nvidia GPU for Volta (sm_70)
$ spack install babelstream +cuda cuda_arch=70 mem=managed
$ spack install babelstream +cuda cuda_arch=<70> mem=<managed>
# Example 3: CUDA with mem and flags specified
$ spack install babelstream +cuda cuda_arch=70 mem=managed flags=xxx
$ spack install babelstream +cuda cuda_arch=<70> mem=<managed> flags=<CUDA_EXTRA_FLAGS>
```
## Kokkos
* Kokkos implementation requires kokkos source folder to be provided because it builds it from the scratch
| Flag | Definition |
|-----------| ----------------------------------|
| dir | Download the kokkos release from github repository ( https://github.com/kokkos/kokkos ) and extract the zip file to a directory you want and target this directory with `dir` flag |
| backend | 2 different backend options: <br />- cuda <br />- omp |
| cuda_arch |- List of supported compute capabilities are provided [here](https://github.com/spack/spack/blob/0f271883831bec6da3fc64c92eb1805c39a9f09a/lib/spack/spack/build_systems/cuda.py#LL19C1-L47C6) <br />- Useful [link](https://arnon.dk/matching-sm-architectures-arch-and-gencode-for-various-nvidia-cards/) for matching CUDA gencodes with NVIDIA architectures|
```shell
# Example 1: No Backend option specified
$ spack install babelstream +kokkos dir=</home/user/Downloads/kokkos-x.x.xx>
# Example 2: CUDA backend
$ spack install babelstream +kokkos backend=cuda cuda_arch=70 dir=</home/user/Downloads/kokkos-x.x.xx>
# Example 3: OMP backend
$ spack install babelstream +kokkos backend=omp dir=</home/user/Downloads/kokkos-x.x.xx>
```