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The script's final section is a standard Linux bash script, outlining job operations. By default, the job starts in the submission folder with the same environment variables as the user. In this example, the script simply runs the python hello.py.
Example 2: job running on multiple nodes
To execute an MPI application across multiple nodes, we need to modify the submission script to request additional resources and specify the MPI execution command:
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#!/bin/bash #MyHelloBatch.slurm # #SBATCH -J test # Job name, any string #SBATCH -o job.%j.out # Name of stdout output file (%j=jobId) #SBATCH -N 2 # Total number of nodes requested #SBATCH --ntasks-per-node=16 # set the number of tasks (processes) per node #SBATCH -t 01:30:00 # Run time (hh:mm:ss) - 1.5 hours #SBATCH -p highmem # Queue name. Specify gpu for the GPU node. #SBATCH --mail-user=UNI@cumc.columbia.edu # use only Columbia address #SBATCH --mail-type=ALL # send email alert on all events module load openmpi4/4.1.1 # load the appropriate module(s) needed by mpirun myMPICode # you program |
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