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slurm [2021/01/19 09:39] – [Clusters] kauffmanslurm [2021/10/15 12:45] – [Where to begin] ctopper
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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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 The variable name is actually misleading; since it does NOT mean the amount of devices, but rather the physical device number assigned by the kernel (e.g. /dev/nvidia2). The variable name is actually misleading; since it does NOT mean the amount of devices, but rather the physical device number assigned by the kernel (e.g. /dev/nvidia2).
  
-For example: If you requested multiple gpu's from Slurm (--gres=gpu:2), the CUDA_VISIBLE_DEVICES variable should contain two numbers(0-3 in this case) separated by a comma (e.g. 1,3).+For example: If you requested multiple gpu's from Slurm (--gres=gpu:2), the CUDA_VISIBLE_DEVICES variable should contain two numbers(0-3 in this case) separated by a comma (e.g. 0,1). 
 + 
 +The numbering is relative and specific to you. For example: two users with one job which require two gpus each could be assigned non-sequential gpu numbers. However CUDA_VISIBLE_DEVICES will look like this for both users: 0,1 
  
  
/var/lib/dokuwiki/data/pages/slurm.txt · Last modified: 2022/10/07 15:13 by borja

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