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#1 |
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Aug 2016
3 Posts |
Hi,
I'm using CUDALucas2.05.1-CUDA8.0-Windows-x64.exe on Win10 x64. Whit dlls cudart64_80.dll and cufft64_80.dll My GPU is a GTX 1070 And my ini file: ErrorIterations=100 ReportIterations=10000 CheckpointIterations=100000 Polite=0 PoliteValue=50 BigCarry=1 ErrorReset=85 Interactive=1 Threads=256 128 Its correct the config? For FTT 4320K I have 5.5ms/It, Its normal this time? Code:
| Date Time | Test Num Iter Residue | FFT Error ms/It Time | ETA Done | | Sep 02 13:54:32 | M77261453 190000 0x4b7e12dac484f666 | 4320K 0.08704 5.5467 55.46s | 4:23:09:15 0.24% | | Sep 02 13:55:28 | M77261453 200000 0x07986a6005462d36 | 4320K 0.08897 5.5464 55.46s | 4:23:07:05 0.25% | | Sep 02 13:56:23 | M77261453 210000 0xad50578e31124946 | 4320K 0.08984 5.5821 55.82s | 4:23:07:14 0.27% | |
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#2 |
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Aug 2016
112 Posts |
I will assume that is correct and optimal configuration.
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#3 | |
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Sep 2003
2·5·7·37 Posts |
Quote:
I ran this exponent using mprime with InterimResidues=10000 in prime.txt and got a residue of 0x62D64892C0BFD302 at iteration 10,000. I wasn't willing to let it run beyond that. If your residue value matches, then you probably got the basic configuration right. |
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#4 | |
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"TF79LL86GIMPS96gpu17"
Mar 2017
US midwest
24·3·163 Posts |
Quote:
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#5 |
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Sep 2003
2·5·7·37 Posts |
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#6 |
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"Kieren"
Jul 2011
In My Own Galaxy!
2×3×1,693 Posts |
I use 10000 on the 460 card, and 20000 on the 1060. This makes them report at about the same interval. You don't have to stick with 10x parameters. For practical purposes you will still end up with 4 or 5 0's on the end, though.
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#7 |
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Random Account
Aug 2009
Not U. + S.A.
22·5·11·13 Posts |
If I look at the screen while running CuLu and I don't see movement for more than a few seconds, then It seems like something is wrong. I keep the value low. Does it really add-in to the total run time that much?
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#8 | |
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"TF79LL86GIMPS96gpu17"
Mar 2017
US midwest
24×3×163 Posts |
Quote:
The time to write frequent checkpoint files is probably a bigger drag on GPU performance, as it's several megabytes each time for current wavefronts, increasing with exponent, and somewhat larger for CUDAPm1 than CUDALucas. (Mfaktc checkpoints are tiny; just spotted one at 42 bytes.) Not having a development environment installed, I haven't put a profiler on it to see how much or little either checkpointing or screen output amounts to. Whatever it is it's more than zero, and I want all practical throughput going to useful results. I redirect all screen output to a file also. Opening big files is slow, when I want to look at the current state, such as to check whether the residues and iteration times are normal, and when an exponent will complete, so I aim for several minutes between status lines. Without redirection, the more frequent the screen updates, the easier it is to miss an error message because they've scrolled up out of sight and possibly out of the buffer. Having lines that represent at least several minutes, is still over a very small percentage of completion of even a wavefront doublecheck, which each take days on anything I currently have set up. I'd also like it better if Mfaktc didn't output as many lines as it does per factoring bit level, by about a tenfold reduction or more. It's generating sometimes over 30 or even 70 screen lines a minute, and accumulating about 22MB of screen output per week. But hey, CuLu is configurable, so each user can do what he likes in that regard. |
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#9 |
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Sep 2009
25×7×11 Posts |
From experience several years ago I found that screen output doesn't use a noticeable (>10%) amount of CPU time unless you are outputting thousands of lines per second. So one line only takes a few microseconds of CPU time to output.
A more reasonable concern is if you want to scroll back to see what it was doing a while ago, not having so much output to search would make life easier. Chris |
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