Submitting and Managing Jobs Using SLURM

The HPC Cluster uses SLURM to manage jobs on the HPC Cluster. This page describes how to submit and manage jobs using SLURM.


  1. Submitting Jobs Using SLURM
  2. Viewing Jobs in the Queue
  3. Viewing Additional Job Information
  4. Removing or Holding Jobs

The following assumes that you have been granted access to the HPC cluster and can log into the head node If this is not the case, please see the CHTC account application page or email the facilitation team at

1. Submitting Jobs Using SLURM

A. Submitting a Job

Jobs can be submitted to the cluster using a submit file, sometimes also called a “batch” file. The top half of the file consists of #SBATCH options which communicate needs or parameters of the job – these lines are not comments, but essential options for the job. The values for #SBATCH options should reflect the size of nodes and run time limits described here.

After the #SBATCH options, the submit file should contain the commands needed to run your job, including loading any needed software modules.

An example submit file is given below. It requests 2 nodes of 20 cores and 128GB of memory each (so 40 cores and 256 GB of memory total), on the univ2 partition. It also specifies a run time limit of 4.5 hours.

#This file is called
#SBATCH --partition=univ2       # default "univ2", if not specified
#SBATCH --time=0-04:30:00       # run time in days-hh:mm:ss
#SBATCH --nodes=2               # require 2 nodes
#SBATCH --ntasks-per-node=20    # cpus per node (by default, "ntasks"="cpus")
#SBATCH --mem=128000             # RAM per node
#SBATCH --error=job.%J.err
#SBATCH --output=job.%J.out
# Make sure to change the above two lines to reflect your appropriate
# file locations for standard error and output

# Now list your executable command (or a string of them).
# Example for code compiled with a software module:
module load mpimodule
mpirun -n 40 /software/username/mpiprogram

Once the submit file is created, it can be submitted using the sbatch command:

[alice@login]$ sbatch

B. Optimizing Your Submit File

There are other SBATCH options that can be used in the SLURM submit file. Other lines that you may wish to add to your script for specifying a number of total tasks (equivalent to "cores" by default), desired CPU cores per task (for multiple CPU cores per MPI task), or RAM per cpu are:

#SBATCH --mem-per-cpu=4000         # RAM per cpu, in MB
#SBATCH --ntasks=40        # total number of "tasks" (cores) requested
#SBATCH --cpus-per-task=1  # default "1" if not specified

No matter which options you choose, it is important to make sure that your request fits within the hardware configuration of your chosen partition.

If using the pre partition, we recommend making your resource requests in a way that will allow jobs to run on both the univ and univ2 servers, specifically:

#SBATCH --partition=pre        # default "univ", if not specified
#SBATCH --time=0-04:30:00       # run time in days-hh:mm:ss
#SBATCH --nodes=2               # require 2 nodes
#SBATCH --ntasks-per-node=20    # cpus per node (by default, "ntasks"="cpus")
#SBATCH --mem=64000             # RAM per node

C. Requesting an Interactive Job ("int" and "pre" partitions)

If you want to run your job commands yourself, as a test before submitting a job as described above, you can request an interactive job on the cluster. There is a dedicated partition for interactive work called int; you may request up to a full node (16 CPUs, 64 GB RAM) when requesting an interactive session in the "int" partition and the session is limited to 60 minutes. Using another partition (like pre) will mean your interactive job is subject to the limits of that partition.

The command to request an interactive job is srun, and includes the partition in which you’d like to run the interactive job.

[alice@login]$ srun -n4 -N1 -p int --pty bash

The above example indicates a request for 4 CPUs (-n4) on a single node (-N1) in the "int" partition (-p int). Adding "-t 15" would indicate a request for 15 minutes, if desired, rather than the 60-minute default. After the interactive shell is created to a compute node with the above command, you'll have access to files on the shared file system and be able to execute code interactively as if you had directly logged in to that node. It is important to exit the interactive shell when you're done working by typing exit.

2. Viewing Jobs in the Queue

To view your jobs in the SLURM queue, use the following command:

[alice@login]$ squeue -u username

Issuing squeue alone will show all user jobs in the queue. You can view all jobs for a particular partition with squeue -p univ.

3. Viewing Additional Job Information

Accounting information for jobs that are invoked with SLURM are logged. The sacct command displays job accouting data in a variety of forms for your analysis.

If you are having trouble viewing output from sacct try running this command first

[alice@login]$ sacct --start=2018-01-01

How To Select Jobs

  • To display information about a specific job or list of jobs use -j or --jobs followed by a job number or comma separated list of job numbers.

      [alice@login]$ sacct --jobs job1,job2,job3
  • To select information about jobs in a certain date range use --start and --end Without it, sacct will only return jobs from the current day.

      [alice@login]$ sacct --start=YYYY-MM-DD
  • To select information about jobs in a certian time range use --starttime and --endtime The default start time is 00:00:00 of the current day, unless used with -j, then the default start time is Unix Epoch 0. The default end time is time of running the command. Valid time formats are
      HH:MM[:SS] [AM|PM]
      MMDD[YY] or MM/DD[/YY] or MM.DD[.YY]
      [alice@login]$ sacct --starttime 08/23 --endtime 08/24
  • To display another user’s jobs use --user

      [alice@login]$ sacct --user BuckyBadger

  • To only show statistics relevant to the job allocation itself, not taking steps into consideration use -X. This can be useful when trying to figure out which part of a job errored out.

      [alice@login]$ sacct -X

Displaying Specific Fields

sacct can display different fields about your jobs. You can use the --helpformat flag to get a full list.

[alice@login]$ sacct --helpformat

When looking for information about your jobs CHTC recommends using these fields


For example run

sacct --start=2020-01-01 --format=jobid

to see jobIDs of all jobs ran since 1/1/2020.

4. Removing or Holding Jobs

You can kill and/or remove your job from the queue with the following:

[alice@login]$ scancel job#

where job# is the number shown for your job in the squeue output.

If you want to leave a job in the queue, but prevent it from running immediately, you can “hold” a submitted job by using:

[alice@login]$ scontrol hold job#

To release jobs that are held so that they can run, use this command:

[alice@login]$ scontrol release job#