Task failure on concurrent GPU usage!

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Christian Schilling
Christian Schilling
Joined: 11 Feb 05
Posts: 2
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26 Aug 2010 9:06:03 UTC
Topic 195280
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    Hi!

    Is it possible that BOINC postpones ABP2cuda23 based tasks when no resources are available on the GPU?

    In my case the Mac OS X application Aperture causes the following error with ABP2cuda23 when it has been started and used before BOINC:

    [13:04:42][44766][ERROR] Error creating CUDA FFT plan (error code: 2)
[13:04:42][44766][ERROR] Demodulation failed (error: 1011)!
[13:04:42][44766][WARN ] CUDA memory allocation problem encountered![


    The error disappears as soon as I quit Aperture. Unfortunately, I noticed this problem to late to prevent that BOINC reports the failure of many subsequent tasks. The option to use the GPU only when the system is idle is not suitable because programs like Aperture might run while the system is idle.

    Thanks, Christian

    Gundolf Jahn
    Gundolf Jahn
    Joined: 1 Mar 05
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    Task failure on concurrent GPU usage!

    26 Aug 2010 9:42:43 UTC
    Message 99208
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      There's an option in cc_config.xml that might help in your case:

      Quote:
      important.exe
      BOINC will suspend use of GPUs whenever the executable is running.
      New in 6.10.20


      Gruß,
      Gundolf

      Computer sind nicht alles im Leben. (Kleiner Scherz)

      Jord
      Joined: 26 Jan 05
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      Good idea, but I don't think

      26 Aug 2010 9:49:04 UTC
      Message 99209 in response to message 99208
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        Good idea, but I don't think it works on OS X. I seem to remember that those options really only work on Windows.

        Christian Schilling
        Christian Schilling
        Joined: 11 Feb 05
        Posts: 2
        Credit: 54256
        RAC: 0

        Thanks for your

        26 Aug 2010 11:32:47 UTC
        Message 99210 in response to message 99209
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          Thanks for your replies!

          The option appears to work on OS X.

          However, I think BOINC checks the running processes list solely when something happens. For example: re-read configuration, suspend calculation due to exceeded load limit or the mentioned memory allocation problem that occurs when Aperture claims the GPU before the task application.

          Hence, this does the trick somehow. :)

          Christian

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