Difference between revisions of "SLURM"
From wiki.hpc.mk
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'''<h1 id="Slurm_ExampleParameters">Example parameters intended for GPU</h1>''' | '''<h1 id="Slurm_ExampleParameters">Example parameters intended for GPU</h1>''' | ||
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!style="text-align:left; background-color:#F1EDEC"|Parameters!!Description | |||
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|<nowiki>#</nowiki>SBATCH --ntasks-per-node=2 ||# Number of tasks per phisical CPU core | |||
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|<nowiki>#</nowiki>SBATCH --time=1:00:00||# Script duration (days-hrs:min:sec) | |||
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|<nowiki>#</nowiki>SBATCH --job-name=test_job|| # Job name | |||
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|<nowiki>#</nowiki>SBATCH --mem=1G||# Ram memory for rendering (e.g. 1G, 2G, 4G) | |||
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|<nowiki>#</nowiki>SBATCH --error=testerror_%j.error||# Print the errors that occur when executing the job | |||
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|<nowiki>#</nowiki>SBATCH --cpus-per-task=1||# Number of processors required for a single task | |||
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|<nowiki>#</nowiki>SBATCH --output=testoutput_%j.out||# Print the results from scripts and the values it returns | |||
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|<nowiki>#</nowiki>SBATCH --gres=gpu:2||# Number of cards per one nod allocated for the job | |||
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|<nowiki>#</nowiki>SBATCH --nodelist=cuda4 || # Executing on specific nodes, e.g. cuda4 is for executing only on cuda4 host | |||
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Revision as of 10:32, 30 August 2021
Initiate and manage SLURM tasks
| Contents |
|---|
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
| 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 |
