42 lines
1.6 KiB
Markdown
42 lines
1.6 KiB
Markdown
# Spack Instructions
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## Table of contents
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* [OpenMP](#omp)
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* [OpenCL](#ocl)
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* [STD](#std)
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* [STD20](#std20)
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* [Hip](#hip)
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* [Cuda](#cuda)
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* [Kokkos](#kokkos)
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* [Sycl](#sycl)
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* [Sycl2020](#)
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* [ACC](#acc)
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* [Raja](#raja)
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* [Tbb](#tbb)
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* [Thrust](#thrust)
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## OpenMP
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* There are 3 offloading options for OpenMP: NVIDIA, AMD and Intel.
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* If a user provides a value for `cuda_arch`, the execution will be automatically offloaded to NVIDIA.
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* If a user provides a value for `amdgpu_target`, the operation will be offloaded to AMD.
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* In the absence of `cuda_arch` and `amdgpu_target`, the execution will be offloaded to Intel.
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| Flag | Definition | Options |
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|-----------| ----------------------------------|-----------|
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| 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| `cuda_arch=70` |
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|amdgpu_target| List of supported architectures are provided [here](https://github.com/spack/spack/blob/0f271883831bec6da3fc64c92eb1805c39a9f09a/lib/spack/spack/build_systems/rocm.py#LL93C1-L125C19) | 'amdgpu_target=gfx701` |
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Example Commandss
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```shell
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# Example 1: for Intel offload
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$ spack install babelstream%oneapi +omp
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# Example 2: for Nvidia GPU for Volta (sm_70)
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$ spack install babelstream +omp cuda_arch=70
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# Example 3: for AMD GPU gfx701
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$ spack install babelstream +omp amdgpu_target=gfx701
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```
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