Difference between revisions of "SLURM"
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<nowiki>#</nowiki>!/bin/bash | <nowiki>#</nowiki>!/bin/bash | ||
<nowiki>#</nowiki>SBATCH --ntasks-per-node=2 | <nowiki>#</nowiki>SBATCH --ntasks-per-node=2 # Number of tasks per phisical CPU core | ||
<nowiki>#</nowiki>SBATCH --time=1:00:00 | <nowiki>#</nowiki>SBATCH --time=1:00:00 # Script duration (days-hrs:min:sec) | ||
<nowiki>#</nowiki>SBATCH --job-name=test_job | <nowiki>#</nowiki>SBATCH --job-name=test_job # Job name | ||
<nowiki>#</nowiki>SBATCH --mem=1G | <nowiki>#</nowiki>SBATCH --mem=1G # Ram memory for rendering (e.g. 1G, 2G, 4G) | ||
<nowiki>#</nowiki>SBATCH --error=testerror_%j.error # Print the errors that occur when executing the job | <nowiki>#</nowiki>SBATCH --error=testerror_%j.error # Print the errors that occur when executing the job | ||
<nowiki>#</nowiki>SBATCH --cpus-per-task=1 | <nowiki>#</nowiki>SBATCH --cpus-per-task=1 # Number of processors required for a single task | ||
<nowiki>#</nowiki>SBATCH --output=testoutput_%j.out # Print the results from scripts and the values it returns | <nowiki>#</nowiki>SBATCH --output=testoutput_%j.out # Print the results from scripts and the values it returns | ||
<nowiki>#</nowiki>SBATCH --gres=gpu:2 | <nowiki>#</nowiki>SBATCH --gres=gpu:2 # Number of cards per one nod allocated for the job | ||
<nowiki>#</nowiki>SBATCH --nodelist=cuda4 | <nowiki>#</nowiki>SBATCH --nodelist=cuda4 # Executing on specific nodes, e.g. cuda4 is for executing only on cuda4 host | ||
Revision as of 12:21, 27 August 2021
Initiate and manage SLURM tasks
Most used parameters:
#!/bin/bash
#SBATCH --ntasks-per-node=2 # Number of tasks per phisical CPU core
#SBATCH --time=1:00:00 # Script duration (days-hrs:min:sec)
#SBATCH --job-name=test_job # Job name
#SBATCH --mem=1G # Ram memory for rendering (e.g. 1G, 2G, 4G)
#SBATCH --error=testerror_%j.error # Print the errors that occur when executing the job
#SBATCH --cpus-per-task=1 # Number of processors required for a single task
#SBATCH --output=testoutput_%j.out # Print the results from scripts and the values it returns
#SBATCH --gres=gpu:2 # Number of cards per one nod allocated for the job
#SBATCH --nodelist=cuda4 # Executing on specific nodes, e.g. cuda4 is for executing only on cuda4 host
