Sample Batch Scripts for Running Jobs on the Eagle System

Here are some sample batch script templates for running jobs on Eagle.

#!/bin/bash 
#SBATCH --ntasks=4 # Tasks to be run
#SBATCH --nodes=1  # Run the tasks on the same node
#SBATCH --time=5   # Required, estimate 5 minutes
#SBATCH --account=<project_handle> # Required
#SBATCH --partition=debug

cd /scratch/$USER

srun $HOME/hpcapp -options

#!/bin/bash
#SBATCH --nodes=2          # Use 2 nodes
#SBATCH --time 00:20:00    # Set a 20 minute time limit
#SBATCH --ntasks 2         # Maximum CPU cores for job
#SBATCH --gres=gpu:2       # GPU request 
#SBATCH --mem=184000        # Standard partition (192GB nodes)

cd /scratch/$USER
srun my_graphics_intensive_scripting

#!/bin/bash
#SBATCH --partition=standard       # Name of Partition
#SBATCH --ntasks=12                # CPU cores requested for job
#SBATCH --nodes=1                  # Keeep all cores on the same node
#SBATCH --time=02-00:00:00         # Job should run for up to 2 days (for example)

cd /scratch/<userid>/mydir

srun hpcapp -options /home/hpcuser/app/parameters  # use your application's commands

**For best scheduling functionality, it is not recommended to select a partition.

#!/bin/bash
#SBATCH --ntasks=36                # CPU cores requested for job
#SBATCH --nodes=1                  # Keeep all cores on the same node
#SBATCH --time=01-00               # Job should run for up to 1 day (for example)
#SBATCH --tmp=20TB                 # Request minimum 20TB local disk

export TMPDIR=$LOCAL_SCRATCH
cp /scratch/<userid>/myfiles* $TMPDIR

srun ./my_parallel_readwrite_program -input-options $TMPDIR/myfiles  # use your application's commands

If you or your application has a need for large local disk, please use /tmp/scratch. In the example above, environment variable $LOCAL_SCRATCH can be used in place of the size limited /tmp. 

Eagle MPI (intel-mpi, hpe-mpi):

#!/bin/bash
#SBATCH --nodes=4                   # Number of nodes
#SBATCH --ntasks=100                # Request 100 CPU cores
#SBATCH --time=06:00:00             # Job should run for up to 6 hours
#SBATCH --account=<project handle>  # Where to charge NREL Hours

module purge
module load mpi/intelmpi/18.0.3.222
srun ./compiled_mpi_binary          # srun will infer which mpirun to use

**For best scheduling functionality, it is not recommended to select a partition.

#!/bin/sh
#SBATCH --job-name=job_monitor
#SBATCH -A <account>
#SBATCH --time=00:05:00 
#SBATCH --qos=high
#SBATCH --ntasks=2
#SBATCH -N 2
#SBATCH --output=job_monitor.out
#SBATCH --exclusive

srun ./my_job_monitoring.sh

This snippet contains common #SBATCH directives that are used often: 

#!/bin/bash
#SBATCH --account=<allocation>
#SBATCH --time=4:00:00
#SBATCH --job-name=job
#SBATCH --nodes=1
#SBATCH --ntasks-per-node=8
#SBATCH --mail-user=your.email@nrel.gov
#SBATCH --mail-type=BEGIN,END,FAIL
#SBATCH --output=job_output_filename.%j.out  # %j will be replaced with the job ID

srun ./myjob.sh

Jobs can specify thresholds of memory and storage:

#!/bin/bash
#SBATCH -J longrun_SLURM
#SBATCH -o output.txt
#SBATCH -e errors.txt
#SBATCH -t 06:00:00
#SBATCH -N 1
#SBATCH -n 1
#SBATCH --mem=770000      # RAM in MB
#SBATCH --tmp=1000000     # local scratch disk in MB


srun ./mybigmem_job.sh

 

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