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slurm [2021/03/29 18:28] – [CUDA_VISIBLE_DEVICES] kauffmanslurm [2022/05/26 14:54] – update example with CUDA version, as 9.2 is not installed on focal tdobes
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   ssh user@linux.cs.uchicago.edu   ssh user@linux.cs.uchicago.edu
  
-If you want to use the AI Cluster you will need to login into:+If you want to use the AI Cluster you will need to have previously requested access by sending in a ticket. Afterwards, you may login into:
  
   ssh user@fe.ai.cs.uchicago.edu   ssh user@fe.ai.cs.uchicago.edu
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 Please make sure you specify $CUDA_HOME and if you want to take advantage of CUDNN libraries you will need to append /usr/local/cuda-x.x/lib64 to the $LD_LIBRARY_PATH environment variable. Please make sure you specify $CUDA_HOME and if you want to take advantage of CUDNN libraries you will need to append /usr/local/cuda-x.x/lib64 to the $LD_LIBRARY_PATH environment variable.
  
-  cuda_version=9.2+  cuda_version=11.1
   export CUDA_HOME=/usr/local/cuda-${cuda_version}   export CUDA_HOME=/usr/local/cuda-${cuda_version}
   export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CUDA_HOME/lib64   export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CUDA_HOME/lib64
/var/lib/dokuwiki/data/pages/slurm.txt · Last modified: 2022/10/07 15:13 by borja

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