HPC Cluster Job Scheduler

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Submitting Your First HPC Job

1. Login to the HPC cluster using one of the methods described in on Accessing the Cluster via SSH on the Getting Started Getting Started page.
2. Make a tutorial directory using the command mkdir tutorial and then change into that directory using cd tutorial.
3. Next make a copy of the submit script examples using cp /opt/tcnjhpc/esla-tutorial/examples/submit-* . (make sure to include the . which represents the current directory).
4. Run the command ls to see the names of the files that were copied to the current directory.
5. Let's edit the submission script that we will use to modify the email address in it. This email address we receive messages when the job starts and ends or if there was some kind of failure. Use the simple text editor nano to edit the file by running nano submit-mpi.sh. You could alternately use the edit feature in Open OnDemand to make the change.
6. Since the tutorial doesn't require any input file, we can simply submit this job to the cluster using the command sbatch submit-mpi.sh.
7. The SLURM command squeue is used to monitor the status of your running job (which should only take about 20-25 seconds to run).
8. Once the job completes run the command ls to

Anatomy of a SLURM Sbatch Submit Script

Content to be updated.

#!/bin/bash

#SBATCH --workdir=./                     # Set the working directory
#SBATCH --mail-user=nobody@tcnj.edu      # Who to send emails to
#SBATCH --mail-type=ALL                  # Send emails on start, end and failure
#SBATCH --job-name=m_pi_dart             # Name to show in the job queue
#SBATCH --output=job.%j.out              # Name of stdout output file (%j expands to jobId)
#SBATCH --ntasks=10                      # Total number of mpi tasks requested
#SBATCH --nodes=2                        # Total number of nodes requested
#SBATCH --partition=short		 # Partition (a.k.a. queue) to use

module add elsa-tutorial

# Disable selection of Infiniband networking
export OMPI_MCA_btl=^openib

# Run MPI program
echo "Starting on "`date`
mpirun mdart 50000 10000
#              ^---- should be 500,000/ntasks to match serial version
echo "Finished on "`date`

Advanced Submit Script Options

Constraints

The SLURM constraint option allows for further control over which nodes your job can be scheduled on in a particular parition/queue. You may require a specific processor family or network interconnect. The features that can be used with the sbatch constraint option are defined by the system administrator and thus vary among HPC sites.

One should be careful when combining multiple constraints. It is possible to specify a combination that cannot be satisfied (e.g. specifying a node with a skylake and a broadwell family of processor).

Available ELSA HPC constraints.

Example 1 (single constraint):

#SBATCH --constraint=skylake

Example 2 (anding multiple constraints):

#SBATCH --constraint="skylake&ib"

Example 3 (oring multiple constraints):

#SBATCH --constraint="skylake|broadwell"

Example 3 (complex constraints):

#SBATCH --constraint="(skylake|broadwell)&ib"

Node Exclusivity

The job allocation can not share nodes with other running jobs.

This option should be used judiciously and sparingly. If for example, your job requires only 2 CPU cores and is scheduled on a node with 32 cores, no other job will be able to make use of the remaining 30 cores (not even your own job). Where this may make sense is when your job is competing for memory (RAM) with others running on the same node. The system is not yet configured to enforce memory limitations like it does for CPU cores. Using this option will guarantee that the entire node is exclusive to your job.

Example:

#SBATCH --exclusive

Job Arrays

Example 1:

#SBATCH --output=job.%A_%a.out
#SBATCH --array=1-100

Example 2 (step size):

#SBATCH --output=job.%A_%a.out
#SBATCH --array=1-100:20

Example 3 (limit simultaneous task):

#SBATCH --output=job.%A_%a.out
#SBATCH --array=1-100%5

Example Submit Scripts

Content to be created.

ELSA Job Partitions/Queues

Parition/Queue Name	Max Time Limit	Resource Type
short	6 hours	CPU
normal	24 hours	CPU
long	7 days	CPU
nolimit*	none	CPU
shortgpu	6 hours	GPU
gpu	7 days	GPU

* - Use of the nolimit partition is restricted to approved cluster users. Faculty may request access for themselves and students by emailing ssivy@tcnj.edu.