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Add new benchmark: Nvidia HPCG #326
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This might be something @krishnakumarg1984 would be interested in |
@krishnakumarg1984 started working on this. I added tasks in the main comment |
Those should presumably be in the |
That'd be great! It wasn't clear to me when I looked at it yesterday |
https://github.com/spack/spack/blob/905e7b9b4559691fb1fdde3340f33ef0214e60dc/var/spack/repos/builtin/packages/kokkos-kernels/package.py#L147-L166 when for this package the variants |
Achievements so far
What we want to achieve short term
What we want to achieve long term (next TI)
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The Nvidia HPCG benchmark used to available only via containers, but it was open-sourced last week and it's available at https://github.com/NVIDIA/nvidia-hpcg. This works on both CPU (x86-64 and aarch64, with specific optimisations for Nvidia Grace, aka Neoverse V2) and GPU, and also mixed CPU-GPU configuration (maybe only on Grace-Hopper/Blackwell systems?).
@christophermaynard you may be interested in this.
Build NVIDIA HPCG locally (withRunning on x86 CPU is not supported (unless offloading to an Ampere GPU)USE_CUDA =0
)cricketnccl
, cuSparse and cuBlas are included in thecuda
package).The text was updated successfully, but these errors were encountered: