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Thread: Folding@Home using GPU with Nvidia

  1. #1
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    Default Folding@Home using GPU with Nvidia

    I have installed Folding@Home with FAHClient, FAHControl and FAHViewer. The folding works with CPU, but I am having trouble folding with GPU. The installed nvidia driver is 361.48 from nvidia opensuse leap repository.

    Someone on Folding@Home forum mentioned that I perhaps was missing OpenCL, but I have installed nvidia-computeG04 which contains OpenCL. I could install libOpenCL, but that conflicts with nvidia-computeG04.
    Code:
    File /usr/lib64/libOpenCL.so.1.0.0
      from install of
         libOpenCL1-2.2.7-1.1.x86_64 (openSUSE-leap/42.1-Oss)
      conflicts with file from package
         nvidia-computeG04-361.42-21.1.x86_64 (@System)
    I tried to install libOpenCL in spite of the conflict and still folding would not work using GPU.

    Has anyone gotten folding to work using GPU on OpenSUSE?

    https://foldingforum.org/viewtopic.p...285006#p285006

    The Log from FAHControl
    Code:
    13:03:12:WU00:FS00:Assigned to work server 140.163.4.235
    13:03:12:WU00:FS00:Requesting new work unit for slot 00: READY gpu:0:GK106 [GeForce GTX 650 Ti] from 140.163.4.235
    13:03:12:WU00:FS00:Connecting to 140.163.4.235:8080
    13:03:12:WU00:FS00:Downloading 3.78MiB
    13:03:16:WU00:FS00:Download complete
    13:03:16:WU00:FS00:Received Unit: id:00 state:DOWNLOAD error:NO_ERROR project:10485 run:0 clone:53 gen:264 core:0x18 unit:0x0000014f538b3dbb54aeb39d80684dce
    13:03:16:WU00:FS00:Starting
    13:03:16:WU00:FS00:Running FahCore: /usr/bin/FAHCoreWrapper /var/lib/fahclient/cores/web.stanford.edu/~pande/Linux/AMD64/NVIDIA/Fermi/Core_18.fah/FahCore_18 -dir 00 -suffix 01 -version 704 -lifeline 6462 -checkpoint 15 -gpu 0 -gpu-vendor nvidia
    13:03:16:WU00:FS00:Started FahCore on PID 6510
    13:03:16:WU00:FS00:Core PID:6514
    13:03:16:WU00:FS00:FahCore 0x18 started
    13:03:16:WU00:FS00:0x18:*********************** Log Started 2016-04-19T13:03:16Z ***********************
    13:03:16:WU00:FS00:0x18:Project: 10485 (Run 0, Clone 53, Gen 264)
    13:03:16:WU00:FS00:0x18:Unit: 0x0000014f538b3dbb54aeb39d80684dce
    13:03:16:WU00:FS00:0x18:CPU: 0x00000000000000000000000000000000
    13:03:16:WU00:FS00:0x18:Machine: 0
    13:03:16:WU00:FS00:0x18:Reading tar file state.xml
    13:03:16:WU00:FS00:0x18:Reading tar file system.xml
    13:03:17:WU00:FS00:0x18:Reading tar file integrator.xml
    13:03:17:WU00:FS00:0x18:Reading tar file core.xml
    13:03:17:WU00:FS00:0x18:Digital signatures verified
    13:03:17:WU00:FS00:0x18:Folding@home GPU core18
    13:03:17:WU00:FS00:0x18:Version 0.0.4
    13:03:17:WU00:FS00:0x18:ERROR:exception: Bad platformId size.
    13:03:17:WU00:FS00:0x18:Saving result file logfile_01.txt
    13:03:17:WU00:FS00:0x18:Saving result file log.txt
    13:03:17:WU00:FS00:0x18:Folding@home Core Shutdown: BAD_WORK_UNIT
    13:03:17:WARNING:WU00:FS00:FahCore returned: BAD_WORK_UNIT (114 = 0x72)
    13:03:17:WU00:FS00:Sending unit results: id:00 state:SEND error:FAULTY project:10485 run:0 clone:53 gen:264 core:0x18 unit:0x0000014f538b3dbb54aeb39d80684dce
    13:03:17:WU00:FS00:Uploading 1.92KiB to 140.163.4.235
    13:03:17:WU00:FS00:Connecting to 140.163.4.235:8080
    13:03:17:WU01:FS00:Connecting to 171.67.108.45:80
    13:03:18:WU00:FS00:Upload complete
    13:03:18:WU00:FS00:Server responded WORK_ACK (400)
    13:03:18:WU00:FS00:Cleaning up

  2. #2
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    Default Re: Folding@Home using GPU with Nvidia

    I believe that openCL requires the NVIDIA cuda driver in addition to the screen diver

  3. #3
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    Default Re: Folding@Home using GPU with Nvidia

    The package nvidia-computeG04 gives both Cuda and OpenCL.
    Code:
    Information for package nvidia-computeG04:
    ------------------------------------------
    Repository: Nvidia
    Name: nvidia-computeG04
    Version: 361.42-21.1
    Arch: x86_64
    Vendor: obs://build.suse.de/home:sndirsch:drivers
    Installed: Yes
    Status: up-to-date
    Installed Size: 51.3 MiB
    Summary: NVIDIA driver for computing with GPGPU
    Description:  
      NVIDIA driver for computing with GPGPUs using CUDA or OpenCL
    
    

  4. #4
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    Default Re: Folding@Home using GPU with Nvidia

    Hi
    I run seti@home on occasions, site is down for maintenance so can't login... anyway with just the 340.96 driver and an 8800GT Card I see using the BOINC client;
    Code:
    ....
    19-Apr-2016 14:25:19 [---] CUDA: NVIDIA GPU 0: GeForce 8800 GT (driver version unknown, CUDA version 6.5, compute capability 1.1, 512MB, 200MB available, 504 GFLOPS peak)
    19-Apr-2016 14:25:19 [---] OpenCL: NVIDIA GPU 0: GeForce 8800 GT (driver version 340.96, device version OpenCL 1.0 CUDA, 512MB, 200MB available, 504 GFLOPS peak)
    19-Apr-2016 14:25:19 [---] Creating new client state file
    19-Apr-2016 14:25:19 [---] Host name: big-bird.homelinux.org
    19-Apr-2016 14:25:19 [---] Processor: 4 AuthenticAMD AMD Athlon(tm) II X4 635 Processor [Family 16 Model 5 Stepping 3]
    ....
    Sure you need the compute one....? I only use the run file to install the driver (I find it way easier..)
    Last edited by malcolmlewis; 19-Apr-2016 at 12:35.
    Cheers Malcolm °¿° SUSE Knowledge Partner (Linux Counter #276890)
    SUSE SLE, openSUSE Leap/Tumbleweed (x86_64) | GNOME DE
    If you find this post helpful and are logged into the web interface,
    please show your appreciation and click on the star below... Thanks!

  5. #5
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    Default Re: Folding@Home using GPU with Nvidia

    I can't remove nvidia-computeG04 it would then also remove the x11-video-nvidia package.
    Code:
    The following 2 packages are going to be REMOVED:
      nvidia-computeG04 x11-video-nvidiaG04
    

  6. #6
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    Default Re: Folding@Home using GPU with Nvidia

    You need all the GO4 packages

  7. #7
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    Default Re: Folding@Home using GPU with Nvidia

    I have installed all the Nvidia G04 packages
    nvidia-computeG04
    nvidia-gfxG04-kmp-default
    nvidia-glG04
    x11-video-nvidiaG04

  8. #8
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    Default Re: Folding@Home using GPU with Nvidia

    And you can't remove one only since they are dependent

    Still think you may need cuda. But the fold docs should tell you for sure what you need

  9. #9
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    Default Re: Folding@Home using GPU with Nvidia

    I have CUDA. The package nvidia-computeG04 contains both OpenCL and CUDA.

  10. #10
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    Default Re: Folding@Home using GPU with Nvidia

    That may not be sufficient for ALL programs

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