Difference between revisions of "SLURM"

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Example parameters intended for GPU
'''<h1 id="Slurm_ExampleParameters">Example parameters intended for GPU</h1>'''

Revision as of 10:31, 30 August 2021

Initiate and manage SLURM tasks

Contents
  1. Most used parameters
  2. Example by executing a simple script



Most used parameters:

Parameters Description
#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


Example by executing a simple script

#!/bin/bash

#SBATCH --job-name=test_job

#SBATCH --time=1:00:00

#SBATCH –-ntasks-per-node=1

#SBATCH --error=testerror_%j.error

#SBATCH --output=testoutput_%j.out

export PATH="/opt/anaconda3/bin:$PATH"

source /opt/anaconda3/etc/profile.d/conda.sh

conda create -n virtualenv python=3.8

conda activate virtualenv

echo "FINKI FCC"


The script is executed via sbatch <scriptname>.sh


Example parameters intended for GPU