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1. Create the SBATCH script. You can create this script on your workstation and then upload it to the Aloe supercomputer. You can also create this script through the shell. To do this:

   1. Connect to the web portal and log on with your credentials.

   2. Select “System“ in the navigation bar then select “Aloe Shell Access“. You will be prompted for your credentials and a DUO push will be sent to you.

   3. In the command prompt, use the following commands to create a SBATCH script called “MATLAB_test_script.sh“.

      Code Block
      nano MATLAB_test_script.sh

   4. In the file editor, specify the resources, MATLAB version, and the MATLAB file needed for your computation. Here is an example of a MATLAB SBATCH script:

      Code Block
      #!/bin/bash #SBATCH -c 16 # number of TASKS #SBATCH -N 1 # keep all tasks on the same node #SBATCH --mem=120G # request 120 GB of memory #SBATCH -t 0-4 # request 4 hours of walltime module load matlab/latest # load in the lastest version of MATLAB matlab –batch hello.m # run the MATLAB file

   Submit the batch job

   1. 
      This job will allocate 16 cores and 120 GB of memory on one node for four hours. It will also execute the “hello.m“ file with the latest version of MATLAB on the Aloe supercomputer.

   2. Save the SBATCH script and exit the file editor.

2. In the command prompt, use the following commands to submit the batch job:

   Code Block
   sbatch MATLAB_test_script.sh

3. Done. Your job has been submitted. Here are some helpful commands to manage your job:

   Code Block
   myjobs # This will show the status for all of your jobs.

   Code Block
   scancel JOBID # This will cancel one job by using its JOBID.

   Code Block
   scancel –u $USER # This will cancel all of your jobs.

   Code Block
   seff JOBID # This will give the efficiency report for one job by using its JOBID.

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