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Experiment with Cuda/ROCm implementation #28

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opened 2024-04-16 09:02:38 +00:00 by Patrick Vogler · 2 comments
Patrick Vogler commented 2024-04-16 09:02:38 +00:00
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As a first step to run BigWhoop on Accelerator Cards we should experiment with an implementation of BigWhoop using the programming paradigms provided for the Nvidia/AMD Hardware that is being utilized at HLRS.

As a first step to run BigWhoop on Accelerator Cards we should experiment with an implementation of BigWhoop using the programming paradigms provided for the Nvidia/AMD Hardware that is being utilized at HLRS.
Patrick Vogler added this to the GPU implementation project 2024-04-16 09:02:38 +00:00
Gregor Weiss self-assigned this 2024-05-03 12:49:16 +00:00
Gregor Weiss commented 2024-05-03 12:56:06 +00:00
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I started with HIP/ROCm on the AMD platform during limited access to corresponding hardware MI250 and MI300A, which was minorly successful because I didn't get past the point in CMakeLists.txt that I could use the shared library libbwc in the bwccmdl target.

With CUDA 11.8 / NVHPC 23.11 I adopted the CMakeLists.txt successfully for the project. Porting to CUDA can be started now.

I started with HIP/ROCm on the AMD platform during limited access to corresponding hardware MI250 and MI300A, which was minorly successful because I didn't get past the point in CMakeLists.txt that I could use the shared library libbwc in the bwccmdl target. With CUDA 11.8 / NVHPC 23.11 I adopted the CMakeLists.txt successfully for the project. Porting to CUDA can be started now.
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Gregor Weiss commented 2024-05-03 13:17:18 +00:00
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The respective structs, such as bwc_field, bwc_tile, etc., will add device pointers where needed so that data can be copied from host to device and operated on from GPU kernels.

The respective structs, such as bwc_field, bwc_tile, etc., will add device pointers where needed so that data can be copied from host to device and operated on from GPU kernels.
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Reference: TOPIO/BigWhoop#28
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