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#1 |
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"Curtis"
Feb 2005
Riverside, CA
2×2,927 Posts |
I am considering the purchase of a secondhand workstation with a Quadro 5000 GPU, which has DP performance = 1/2 SP performance. If I purchase this machine, I surely do not want to waste this GPU running single-precision calculations among my choices at mersenneforum.
Which of our CUDA-enabled programs require DP calculations? Which are SP? I already use msieve poly select, ECM, cudaLLR; I would consider trial-factoring, cudalucas, and perhaps something I'm not thinking of (a sieve for a project I already like, say). |
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#2 |
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"/X\(‘-‘)/X\"
Jan 2013
https://pedan.tech/
61608 Posts |
Keep in mind the Quadro 5000 is about as fast as a GTX 960 for LL. It is still reasonably power efficient when doing DP though.
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#3 |
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"Mihai Preda"
Apr 2015
22×3×112 Posts |
TF (mfaktc, mfakto) is SP.
LL (CUDALucas, clLucas) is DP. LL is also likely limited by memory bandwidth, not only DP performance. |
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#4 |
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"TF79LL86GIMPS96gpu17"
Mar 2017
US midwest
11110100100002 Posts |
P-1 (CUDAPM1) is also DP. A brief look at the v0.20 source shows lots of variables typed double. Floats are rare by comparison. GPU Memory occupancy I've observed via GPU-Z is P-1>LL>TF. Occupancy limits maximum exponent for a given GPU's memory size, while bandwidth affects execution speed. But it seems reasonable to expect bandwidth and occupancy to be related. Even a 1GB equipped GPU (Quadro2000 for example) can run exponents well above the current Primenet wavefronts.
Last fiddled with by kriesel on 2017-12-26 at 19:02 |
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