| #!/bin/bash | |
| #“#SBATCH” directives that convey submission options: | |
| ##### The name of the job | |
| #SBATCH --job-name=example | |
| ##### When to send e-mail: pick from NONE, BEGIN, END, FAIL, REQUEUE, ALL | |
| #SBATCH --mail-type=ALL | |
| #SBATCH --mail-user=example@umich.edu | |
| ##### Resources for your job | |
| # number of physical nodes | |
| #SBATCH --nodes=1 | |
| #SBATCH --ntasks-per-node=1 | |
| #SBATCH --cpus-per-task=4 | |
| #SBATCH --mem-per-cpu=11GB | |
| #SBATCH --time=2-00:00:00 | |
| ##### The resource account; who pays | |
| #SBATCH --account=ahowens1 | |
| #SBATCH --partition=spgpu | |
| #SBATCH --gres gpu:1 | |
| #SBATCH --output=./%x-%j.log | |
| ########## End of preamble! ######################################### | |
| # No need to “cd”. Slurm starts the job in the submission directory. | |
| ##################################################################### | |
| # The application(s) to execute along with its input arguments and options: | |
| my_job_header | |
| /bin/hostname | |
| cat $0 | |
| echo $CONDA_DEFAULT_ENV | |
| python example.py | |
| echo done! | |