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Old 2020-07-21, 16:27   #23
kriesel's Avatar
Mar 2017
US midwest

4,457 Posts

Originally Posted by Petnek View Post
From what I understand, CUDALucas can run LL test on GPU. I can run this also on CPU. How I'll figure out on which it will be faster or more efficient. Will it be better to do this test for example on GTX2080Ti or i9-9900. Or GTX260 () vs. Threadripper. This is what I'm trying to understand.
Run mfaktc with the 2047 GPUSieveSize extension on the GTX2080Ti and tune well. It will accomplish much more for the project doing TF which it is very fast at, than doing DP-based computations such as P-1 or LL or PRP which it is relatively slow at (~42 TIMES).

Run PRP on gpuowl if possible with the excellent GEC for reliability and speed, or LLDC when needed with gpuowl's Jacobi check. Run CUDALucas (lacking Jacobi check, but providing pseudorandom shift) on ancient NVIDIA gpus that can't run gpuowl.
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