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--- wiki:user_guide [2022/05/06 14:47]
phegde
+++ wiki:user_guide [2022/05/28 18:18] (current)
cnr-guest [Job preparation ans submission]
@@ Line 101: / Line 101: @@
 Complete documentation is avalailable at ''https://slurm.schedmd.com/''.
-SLUR is an open source software sytstem for cluster management; it is highly scalable and  integrates fault-tolerance and job scheduling mechanisms.
+SLURM is an open source software sytstem for cluster management; it is highly scalable and  integrates fault-tolerance and job scheduling mechanisms.
 ==== SLURM basic concepts ====
@@ Line 339: / Line 339: @@
 #SBATCH --ntasks-per-node=[ntasks per node]  #number of cores per node
 #SBATCH --gres=gpu:[ngpu]         #number of GPUs per node
-NPROC=                      #number of parallel codes to be run
+NPROC=[nprocesses]                     #number of processing units to be accessed
 tmpstring=tmp               #temporary files generated
@@ Line 358: / Line 358: @@
    * Parallelization can be implemented within the python code itself. For example, the evaluation of a function for different variable values can be done in parallel. Python offers many packages to parallelize the given process. The basic one among them is [[https://docs.python.org/3/library/multiprocessing.html|multiprocessing]].
-   * The keras module in tensorflow which is mainly used for machine learning detects the GPUs automatically.
+   * The keras and Pytorch modules in tensorflow which are mainly used for machine learning detects the GPUs automatically.

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