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-   -   mfakto: an OpenCL program for Mersenne prefactoring (https://www.mersenneforum.org/showthread.php?t=15646)

rebirther 2022-12-30 08:21

[QUOTE=rebirther;620876]This was a card from a user, Iam trying to find some results but no one has attached an Intel ARC host yet, still need some tweaking with the server setup.[/QUOTE]

[QUOTE]no factor for M131174377 from 2^74 to 2^75 [mfakto 0.15pre7-MGW cl_barrett32_76_gs_2]
tf(): total time spent: 24m 10.213s (1737.73 GHz-days / day)

08:56:56 (11896): mfakto.exe exited; CPU time 1443.187500[/QUOTE]

Result from an Intel ARC 770 on linux on SRBase.

28add11 2022-12-30 19:23

I haven't checked the forum in a few days and it looks like you guys are really getting into the swing of things with ARC support. Since I have an A750 card if anyone would like me to run tests on it or help out I would be more than happy to help.
A small note: I downloaded mfakto from [URL="https://download.mersenne.ca/mfakto"]here[/URL] but by the looks of things there's a more recently updated repo, so if anyone could provide instructions on how to build that it would be much appreciated, Thanks!

kriesel 2023-01-16 15:09

Does there exist an mfaktc build that will work on Google Colab in either its Ubuntu 18.04 or 20.04 VM incarnations currently, which appear unpredictably, usually 18.04? I'm getting Cudart version discrepancies with 10.0, or glibc / libstdc issues with the cuda 12.0 for linux mmfsktc build, and updating 18.04 does not resolve that issue for mmff so likely won't for mfaktc.

Mark Rose 2023-01-16 15:51

[QUOTE=kriesel;622698]Does there exist an mfaktc build that will work on Google Colab in either its Ubuntu 18.04 or 20.04 VM incarnations currently, which appear unpredictably, usually 18.04? I'm getting Cudart version discrepancies with 10.0, or glibc / libstdc issues with the cuda 12.0 for linux mmfsktc build, and updating 18.04 does not resolve that issue for mmff so likely won't for mfaktc.[/QUOTE]

Wrong thread, but I've always had to recompile mfaktc for different versions of CUDA.

That being said, it's very quick to compile if nvidia-cuda-dev is installed: even on an old two core/two thread machine it takes less than 15 seconds.

Prescott 2023-02-27 03:10

Please post the device name "gfx1032 (Advanced Micro Devices, Inc.)"
 
Hello,

The data file said to "Please post the device name "gfx1032 (Advanced Micro Devices, Inc.)"" to this forum. Device name is AMD Radeon RX 6600

Thank you!


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