RTX cores for folding@home

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Re: RTX cores for folding@home

Postby foldy » Thu Oct 11, 2018 9:05 am

Nvidia changed something in the compute context switch part of GPU architecture and the L1 and L2 cache got double bandwidth and size. That is why all compute tasks in CUDA/OpenCL and also FAH run much faster. https://devblogs.nvidia.com/nvidia-turing-architecture-in-depth/
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Re: RTX cores for folding@home

Postby bruce » Fri Oct 12, 2018 12:44 am

They also provided separate execution units for FP32 and INT16. I don't know if FAHCore2x has ever been profiled for the percentage of integer operations (it's probably a small number) but by unblocking FP somewhat, the performance should go up.
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