Port reverse from CUDA.jl
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Seems like at least with CUDA.jl, using dynamic workgroup sizes recovers ~50% of the performance lost switching over to KernelAbstractions. Is there potentially some overhead with KA that is lesser with Dynamic workgroup sizes? |
cc @vchuravy |
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Huh, I would expect static kernel sizes to be a performance benefit or at least performance neutral. The only thing that could happen is that suddenly we are able to unroll more or something like that. |
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This may have to wait for KA 0.10 depending on how much
cpu=trueaffects performance.