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#1 |
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Jan 2023
Riga, Latvia
6010 Posts |
Hi guys,
I was wondering if you could help me bit with simplifying the how-to-gpu calculate prime numbers. Currently I am running p95 for CPU, have completed 4 assigments with it, I was wondering if I can use my GPU too for it. I checked the gpuowl and mfaktc threads, but they seem overly complicated and contradicting with information said in main website mersenne.org. P95 for CPU is very straight forward, but GPU not so much. I have 5900X CPU, 3060 Ti GPU and 32 GB of RAM working on Windows 10 system and I would like to contribute a bit for this project on days when electricity prices are cheap in my country (some days close to 0.00 EUR/kWh) If any gentle soul could guide me through the first steps, I would be very grateful! Thanks! |
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#2 | |
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"TF79LL86GIMPS96gpu17"
Mar 2017
US midwest
24×3×163 Posts |
Quote:
3060Ti is an NVIDIA GPU that is much more powerful at TF than it is at other type GIMPS computations. You'll want mfaktc for that GPU. Reference info thread for mfaktc is here: https://www.mersenneforum.org/showthread.php?t=23386 with first post including some getting started info. Learn how to run mfaktc with manual assignments and result reporting, then perhaps explore the choices of client management software, GPUto72, etc. Reference info index page is here: https://mersenneforum.org/showthread.php?t=24607 |
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#3 |
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Jul 2009
Germany
10110000102 Posts |
some useful links:
Trial factoring estimated performance get manual assignments here Download mfakct 0.21 thread You need to install cuda toolkit 6.0 to 9.0 Download mfaktc for other cuda versions Last fiddled with by moebius on 2023-01-14 at 14:32 |
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#4 |
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Jan 2023
Riga, Latvia
22×3×5 Posts |
Thanks for the links!
Will take a coffee and go through. I was wondering thou, why GPU tasks are so manual and not automated like p95 for CPU is? what holds back the dev to make it same easy-to-use as for CPU? Thanks! |
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#5 |
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Jan 2023
Riga, Latvia
748 Posts |
Hi, so first obstacle here in instructions.
Where should I change the ID's to assign my account? Instruction is half-completed. Other thing, running selfhelp test is not possible, because the files in folder does not have a help.txt file or anything related to it. What should I do? Seems like this GPU p95 is only for very advanced users, not for anybody who is just on enthusiast level. Thanks! |
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#6 | |
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"TF79LL86GIMPS96gpu17"
Mar 2017
US midwest
11110100100002 Posts |
Quote:
(program-name) -h >>(destination-file-name).txt That's separate from running the selftest. It's expected that if a user is going to run command-line programs, he will known or learn how to run command-line programs. GPU GIMPS applications are text-mode at the command line, not graphical apps like Windows prime95. Setting user id, computer name, etc are performed in the mfaktc.ini file. Use a text editor for that. See also https://www.mersenneforum.org/showpo...19&postcount=8 for basic OS related knowledge needed or desirable. Last fiddled with by kriesel on 2023-01-14 at 15:40 |
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#7 |
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Jan 2023
Riga, Latvia
22·3·5 Posts |
Thanks, I will try again!
New to this, so baby steps for me. :) |
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#8 |
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Undefined
"The unspeakable one"
Jun 2006
My evil lair
6,793 Posts |
Be careful with the double greater-than ">>" because that means append, It creates anew if it's not already there, and appends to the existing if it is already there. So if you run the "-h" command more than once you get multiple copies of the help text in the file.
You can change this behaviour by using a single greater-than ">" instead. Then it will always create a new file and overwrite anything that might already be there. Last fiddled with by retina on 2023-01-14 at 15:52 |
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#9 |
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"TF79LL86GIMPS96gpu17"
Mar 2017
US midwest
24·3·163 Posts |
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#10 |
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Jan 2023
Riga, Latvia
1111002 Posts |
Self test passed
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#11 |
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Jan 2023
Riga, Latvia
22×3×5 Posts |
CUDA version info
binary compiled for CUDA 11.20 CUDA runtime version 11.20 CUDA driver version 12.0 CUDA device info name NVIDIA GeForce RTX 3060 Ti compute capability 8.6 max threads per block 1024 max shared memory per MP 102400 byte number of multiprocessors 38 clock rate (CUDA cores) 1860MHz memory clock rate: 7001MHz memory bus width: 256 bit Automatic parameters threads per grid 622592 GPUSievePrimes (adjusted) 82486 GPUsieve minimum exponent 1055144 I used cudart64_110.dll and mfaktc-0.21.win_cuda11.2-2047.zip |
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