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#23 |
Aug 2020
79*6581e-4;3*2539e-3
10328 Posts |
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Thanks, I had thought about using the GPU since at Primegrid sieving Proth numbers with GPU is much faster than any CPU. The reason I didn't was that I only have a GTX 760 and a GTX 1660. The 760 is quite slow and not useful. The 1660 might be ok, but I prefer to use it for Wieferich/Wall-Sun-Sun search currently and as Happy said, it'd need to be really fast to compete against the 12 cores of the Ryzen 9 3900X.
Btw, hijack all you want, I'm glad to hear about such things. |
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#24 | |
"AMD YES!"
Jan 2020
Bellevue, WA
2×41 Posts |
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#25 |
Aug 2020
79*6581e-4;3*2539e-3
53810 Posts |
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While we're on the topic of sieving on GPU, did anyone try colab sessions for it? I don't have any experience with it, just began copy&pasting GPU72 code which seems to run fine. Is there a similar "fire&forget" available for srsieve2cl?
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#26 |
Aug 2020
79*6581e-4;3*2539e-3
2×269 Posts |
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No new primes, just another status update:
No sieving was done since the last update. All n < 5,600,000 have now been checked. No prime since more than 5M candidates, low weight indeed. :) Since the FFT size grew to 640K with n > 5.6M, the 64 MB L3 cache of the Ryzen 9 3900x ran out when testing 12 numbers simultaneously. Initially I ran six 2-threaded LLR instances, but noticed that two of them were about 30% slower than the other four. The reason being the special layout of the processor. There are four so-called CCDs with 16MB L3 cache each. And since each CCD houses three cores, that means that two of the LLR instances ran on two separate CCDs. So I switched to four 3-threaded LLR instances occupying a single CCD each. Maybe special constructs like 4 2-threaded and 4 single-threaded LLRs would lead to a higher throughput, I didn't run any tests. Smallest LLR-test currently running: n = 5.62M FFT = 640K duration = 4060 s / test digits = 1.69M Caldwell entry rank: 241 Largest LLR-test currently running: n = 5.65M FFT = 640k duration = 4090 s / test digits = 1.70M Caldwell entry rank: 238 |
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