Linux GPU - No Folding Was: GTX 680 recognized as Fermi?
Posted: Wed Nov 21, 2012 1:56 am
I'm trying to get my GTX 680 classified to fold, but not having much luck. I did notice that the log gives this card a GF114 id, which I thought was fermi. I was expecting to see GK114. Anyway, all I get is
I assume this is because of the incorrect id?
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01:49:12:WARNING:WU00:FS01:Failed to get assignment from 'assign-GPU.stanford.edu:8080': Empty work server assignment
01:49:12:ERROR:WU00:FS01:Exception: Could not get an assignment.
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*********************** Log Started 2012-11-21T01:01:05Z ***********************
01:01:05:************************* Folding@home Client *************************
01:01:05: Website: http://folding.stanford.edu/
01:01:05: Copyright: (c) 2009-2012 Stanford University
01:01:05: Author: Joseph Coffland <joseph@cauldrondevelopment.com>
01:01:05: Args: --child --lifeline 959 /etc/fahclient/config.xml --run-as fahclient
01:01:05: --pid-file=/var/run/fahclient.pid --daemon
01:01:05: Config: /etc/fahclient/config.xml
01:01:05:******************************** Build ********************************
01:01:05: Version: 7.2.9
01:01:05: Date: Oct 3 2012
01:01:05: Time: 10:34:06
01:01:05: SVN Rev: 3578
01:01:05: Branch: fah/trunk/client
01:01:05: Compiler: GNU 4.4.7
01:01:05: Options: -std=gnu++98 -O3 -funroll-loops -mfpmath=sse -ffast-math
01:01:05: -fno-unsafe-math-optimizations -msse2
01:01:05: Platform: linux2 3.2.0-1-amd64
01:01:05: Bits: 64
01:01:05: Mode: Release
01:01:05:******************************* System ********************************
01:01:05: CPU: Intel(R) Core(TM) i5-3570K CPU @ 3.40GHz
01:01:05: CPU ID: GenuineIntel Family 6 Model 58 Stepping 9
01:01:05: CPUs: 4
01:01:05: Memory: 7.75GiB
01:01:05:Free Memory: 7.19GiB
01:01:05: Threads: POSIX_THREADS
01:01:05: On Battery: false
01:01:05: UTC offset: -6
01:01:05: PID: 1024
01:01:05: CWD: /var/lib/fahclient
01:01:05: OS: Linux 3.2.0-23-generic x86_64
01:01:05: OS Arch: AMD64
01:01:05: GPUs: 1
01:01:05: GPU 0: NVIDIA:2 GF114 [GeForce GTX 680]
01:01:05: CUDA: 3.0
01:01:05:CUDA Driver: 5000