abstract:caviness:runjobs:schedule_jobs

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abstract:caviness:runjobs:schedule_jobs [2024-01-24 16:16] anitaabstract:caviness:runjobs:schedule_jobs [2024-01-30 17:18] (current) – [GPU nodes] anita
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 ==== GPU nodes ==== ==== GPU nodes ====
  
-After entering into the workgroup, GPU nodes can be requested through an interactive session using ''salloc'' or through batch submission using ''sbatch''. An appropriate partition name (such as a workgroup for running or ''devel'' if you need to compile on a GPU node) and a GPU resource and type has to be mentioned while running the command as below.+After entering into the workgroup, GPU nodes can be requested through an interactive session using ''salloc'' or through batch submission using ''sbatch''. An appropriate partition name (such as a workgroup for running or ''devel'' if you need to compile on a GPU node) and a GPU resource and type **must** be specified while running the command as below.
  
 <code bash> <code bash>
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 </code> </code>
  
-Any user can employ a GPU by running in the ''standard'' partition, however keep in mind jobs can be preempted and would require [[abstract:caviness:runjobs:schedule_jobs#handling-system-signals-aka-checkpointing|checkpointing]] as part of your batch job script.  The interactive session example below requests any node with a GPU v100, 1 core and 1 GB of memory (default values if not specified) on the standard partition.+Any user can employ a GPU by running in the ''standard'' partition, however keep in mind a GPU type **must** be specified, jobs can be preempted and would require [[abstract:caviness:runjobs:schedule_jobs#handling-system-signals-aka-checkpointing|checkpointing]] as part of your batch job script.  The interactive session example below requests any node with (2) GPUs v100 type, 1 core1 GB of memory and 30 minutes of time (default values if not specified) on the ''standard'' partition.
  
 <code bash> <code bash>
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 </code> </code>
  
-to allocate a node with (2) V100 GPU type available for your interactive job in the standard partition. +If you are unsure of the GPU types and counts available in the ''standard'' partition, see [[abstract:caviness:caviness#compute-nodes|Compute Nodes]] on Caviness.
 ==== Enhanced Local Scratch nodes ==== ==== Enhanced Local Scratch nodes ====
  
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