Nvidia RTX card support


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Profile Spritex

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Message 6169 - Posted: 14 Feb 2019, 18:29:27 UTC

Last modified: 14 Feb 2019, 18:30:35 UTC
Will Asteroids support those new Nvidia Gpu´s soon.
Would be much appreciated

Best Regards
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Dataman
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Message 6174 - Posted: 22 Feb 2019, 16:19:37 UTC
I would like to put mine here as well. Any plans?

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Shadak

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Message 6176 - Posted: 23 Feb 2019, 10:00:57 UTC
wild guess: not soon
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MarkJ
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Message 6177 - Posted: 24 Feb 2019, 5:22:45 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.
BOINC blog
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San-Fernando-Valley

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Message 6178 - Posted: 24 Feb 2019, 12:14:31 UTC
... 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 ...
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Profile Raymond Myint

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Message 6256 - Posted: 25 Apr 2019, 1:32:19 UTC - in response to Message 6178.  
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>
]]>
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Message 6429 - Posted: 20 Jan 2020, 16:41:41 UTC

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.
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Message 6430 - Posted: 20 Jan 2020, 18:04:22 UTC - in response to Message 6177.  
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.
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Message 6431 - Posted: 20 Jan 2020, 20:15:30 UTC - in response to Message 6430.  

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.


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.


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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Message boards : Number crunching : Nvidia RTX card support