I’ve been running a matlab script in a cluster and I got a warning saying that my MATLAB programm was comsuming in excess 500% CPU, so somehow the MATLAB access the head-node.

I’ve been submitting my jobs by running the command “sbatch myJob.batch”, where myJob.batch is the following script:

I would appreciate any help.

#!/bin/bash
#SBATCH -J 9h_11h_6g_c_windowing_blur_overload
#SBATCH -o %x.o%j   # output file name
#SBATCH -e %x.e%j   # error file name
#SBATCH -p jila
#SBATCH -q standard
#SBATCH -n 8        # number of cores
#SBATCH -N 1        # number of nodes (use 1)
#SBATCH --mem=30G   # allocated memory
#SBATCH -t 07-00:00:00  # allocated wall time
#SBATCH --tmp=1GB   # allocated disk space
#SBATCH --mail-type=BEGIN,END   # notification type
#SBATCH [email protected]

# load matlab module
module load matlab

# run matlab file
matlab -nodisplay -nodesktop -r "PulseReconstruction; exit;"`



I'm suspecting that the problem is on using parpool in MATLAB, which somehow might access the command-line on the cluster. 
This is how I'm requesting parallel pool on matlab: 
`if isempty(gcp('nocreate'))
    parpool;
end
disp(gcp('nocreate'));`

And this is my output from it: 
`Starting parallel pool (parpool) using the 'Processes' profile ...
Connected to parallel pool with 8 workers.
 ProcessPool with properties: 
s
            Connected: true
           NumWorkers: 8
                 Busy: false
              Cluster: Processes (Local Cluster)
        AttachedFiles: {}
    AutoAddClientPath: true
            FileStore: [1x1 parallel.FileStore]
           ValueStore: [1x1 parallel.ValueStore]
          IdleTimeout: 30 minutes (30 minutes remaining)
          SpmdEnabled: true