Nvidia RTX card support
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Nvidia RTX card support
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![]() Send message Joined: 2 Jun 15 Posts: 2 Credit: 350,744,206 RAC: 0 |
Last modified: 14 Feb 2019, 18:30:35 UTC |
![]() Send message Joined: 11 Aug 12 Posts: 8 Credit: 54,899,677 RAC: 0 |
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Send message Joined: 12 Mar 18 Posts: 33 Credit: 1,367,520 RAC: 0 |
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![]() Send message Joined: 27 Jun 12 Posts: 129 Credit: 62,725,780 RAC: 5 |
The GTX 1660 Ti would be in more people’s reach. l ask that we get the app updated to support the Turing based cards please. Hopefully it would just be a matter of recompiling it with the latest CUDA compiler but I bet it’s not that simple. BOINC blog |
Send message Joined: 12 Apr 17 Posts: 31 Credit: 5,360,264 RAC: 0 |
... getting the following comp error on volta: Stderr output <core_client_version>7.14.2</core_client_version> <![CDATA[ <message> The system cannot find the file specified. (0x2) - exit code 2 (0x2)</message> <stderr_txt> CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro GV100 Compute capability: 7.0 Multiprocessors: 80 Unsupported CC detected (CC2.0 and better supported only). </stderr_txt> ]]> may be of help or interest ... |
![]() Send message Joined: 10 Aug 17 Posts: 1 Credit: 1,752,480 RAC: 0 |
I get the same. <core_client_version>7.14.2</core_client_version> <![CDATA[ <message> The system cannot find the file specified. (0x2) - exit code 2 (0x2)</message> <stderr_txt> CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: GeForce RTX 2070 Compute capability: 7.5 Multiprocessors: 36 Unsupported CC detected (CC2.0 and better supported only). </stderr_txt> ]]> |
![]() ![]() Send message Joined: 16 Jan 14 Posts: 17 Credit: 29,505,691 RAC: 11,645 |
Last modified: 20 Jan 2020, 16:45:19 UTC I tried substituting libcudart.so.10.2 for the older 5.5 but it did not work even after telling BOINC not to check the file size or do a checksum test. I had actually tried this approach on the Milkyway project app and managed to get a different library to be used. It didn't make any difference in performance but at least it ran. Please go over here https://askubuntu.com/questions/1204434/cuda-backwards-capability and bump up my question. Maybe there is a way to fool the Asteroids app into using the newer library. Seems to me the app should work with newer lib even if it does not take advantage of new performances in the device. |
![]() ![]() Send message Joined: 1 Jan 14 Posts: 302 Credit: 32,671,868 RAC: 57 |
The GTX 1660 Ti would be in more people’s reach. l ask that we get the app updated to support the Turing based cards please. Hopefully it would just be a matter of recompiling it with the latest CUDA compiler but I bet it’s not that simple. My 1080Ti, 1060 and 760 gpu's work just fine here, about 11 minutes per wu for the 1080Ti and about 47 minutes for the 760. |
![]() ![]() Send message Joined: 16 Jan 14 Posts: 17 Credit: 29,505,691 RAC: 11,645 |
Last modified: 20 Jan 2020, 20:28:03 UTC The GTX 1660 Ti would be in more people’s reach. l ask that we get the app updated to support the Turing based cards please. Hopefully it would just be a matter of recompiling it with the latest CUDA compiler but I bet it’s not that simple. Your RAC here is 0. Consider giving up collatz. It is more likely an asteroid will hit us and stop "collatz" before collatz will find an exception to 3p+1, publish it, and stop. I am back crunching but will pack up and leave if they get on the GRIDCOIN graylist or blacklist for not having work. Yea, they fixed the same problem back 3 years ago. Maybe they kept notes on how it was done. https://www.reddit.com/r/BOINC/comments/4wi1sf/astroidshome_wu_error_gtx_1080/ The following is a mix of one gtx1070, one 1070Ti, and three P102-100 Run Time CPU Time Credit (sec) (sec) 660.3 658.4 480.0 264.3 261.1 480.0 205.1 203.1 480.0 651.4 647.6 480.0 23.2 21.1 480.0 876.6 871.1 480.0 675.5 672.6 480.0 647.2 643.2 480.0 138.7 135.4 480.0 1007.9 1004.4 480.0 680.3 675.9 480.0 675.9 673.5 480.0 141.6 139.8 480.0 656.2 654.3 480.0 794.1 789.6 480.0 641.1 639.1 480.0 656.2 654.8 480.0 907.4 904.2 480.0 593.9 591.7 480.0 652.2 650.4 480.0 ---------------------------------- Avg: 577.4 574.6 480.0 STD: 267.1 266.6 0.0 1.20 seconds per credit from above info one device 0.8312 Credits per second for one device Times shown above were divided by number of concurrent tasks(1) 2,992 number of credits in an hour this system |
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Nvidia RTX card support