SLURM/ArrayJobs
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Here is an example to get you started using array jobs in SLURM.
Array computation example job
Save this code to a file called test.py
.
import time print('start at ' + time.strftime('%H:%M:%S')) print('sleep for 10 seconds ...') time.sleep(10) print('stop at ' + time.strftime('%H:%M:%S'))
Sbatch submission script
Save this to a file called array.sh
and you should be able to submit the job as sbatch array.sh
.
#!/bin/bash ##################### # job-array example # ##################### #SBATCH --job-name=example # 16 jobs will run in this array at the same time #SBATCH --array=1-16 # run for five minutes # d-hh:mm:ss #SBATCH --time=0-00:05:00 # default partition should do it #SBATCH --partition default # 500MB memory per core # this is a hard limit #SBATCH --mem-per-cpu=500MB # you may not place bash commands before the last SBATCH directive # define and create a unique scratch directory SCRATCH_DIRECTORY=/scratch0/${USER}/job-array-example/${SLURM_JOBID} mkdir -p ${SCRATCH_DIRECTORY} cd ${SCRATCH_DIRECTORY} cp ${SLURM_SUBMIT_DIR}/test.py ${SCRATCH_DIRECTORY} # each job will see a different ${SLURM_ARRAY_TASK_ID} echo "now processing task id:: " ${SLURM_ARRAY_TASK_ID} python test.py > output_${SLURM_ARRAY_TASK_ID}.txt # after the job is done we copy our output back to $SLURM_SUBMIT_DIR cp output_${SLURM_ARRAY_TASK_ID}.txt ${SLURM_SUBMIT_DIR} # we step out of the scratch directory and remove it cd ${SLURM_SUBMIT_DIR} rm -rf ${SCRATCH_DIRECTORY} # happy end exit 0