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institute_lorentz:institutelorentz_maris_slurm [2018/10/08 07:49]
lenocil [Maris partitions]
institute_lorentz:institutelorentz_maris_slurm [2019/01/31 11:45] (current)
lenocil [Using GPUs with slurm on Maris]
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 A snapshot of the cluster usage can be found at http://​slurm.lorentz.leidenuniv.nl/​ (only accessible within the IL workstations network). A snapshot of the cluster usage can be found at http://​slurm.lorentz.leidenuniv.nl/​ (only accessible within the IL workstations network).
  
-Maris runs SLURM v17.02.+Maris runs SLURM v17.11.12
  
 Suggested readings: Suggested readings:
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 The `gpu' partition should be used only for jobs requiring GPUs. Note that these latter must be requested to slurm explicitly using ''​--gres=gpu:​1''​ for instance. The `gpu' partition should be used only for jobs requiring GPUs. Note that these latter must be requested to slurm explicitly using ''​--gres=gpu:​1''​ for instance.
  
-The `computation'​ and `compintel'​ partitions should be used for production runs.+The `computation'​ and `compintel'​ partitions should be used for production runs. Note that the `compintel'​ partition is made of intel CPUs. 
 + 
 +The `ibintel'​ is a partition made of nodes which have InfinBand connections to an iSCSI scrap storage system to allow efficient I/O operations.
  
  
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 #!/bin/env bash #!/bin/env bash
 .... ....
-NVVMIR_LIBRARY_DIR=/​usr/​share/cuda /​usr/​bin/​nvcc -I/usr/include/cuda my_code.cu+NVVMIR_LIBRARY_DIR=/​usr/​local/cuda/​lib64/ ​/usr/local/cuda/bin/nvcc -I/usr/local/cuda/​include ​my_code.cu
 </​code>​ </​code>​
  
institute_lorentz/institutelorentz_maris_slurm.1538984950.txt.gz · Last modified: 2018/10/08 07:49 by lenocil