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MATLAB

MATLAB in Umbrella On Demand MATLAB by MathWorks is a programming and numeric computing platform used by millions of engineers and scientists to analyze data, develop algorithms, and create models.

MATLAB Basic Functions Reference

Using MATLAB interactive
(Graphical User Interface)

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Using MATLAB in SLURM batch jobs
(Command Line Interface)

Test MATLAB

Load the module(s)

[user@umbrella]$ module purge
[user@umbrella]$ module load MATLAB/2024b

Check if the licenses are available:

[user@umbrella]$ matlab -dmlworker -nodisplay -singleCompThread -r "ver -support;exit"

Output to screen should start with: 

-----------------------------------------------------------------------------------------------------
MATLAB Version: 24.2.0.2712019 (R2024b)
MATLAB License Number: 284992
Operating System: Linux 4.18.0-553.16.1.el8_10.x86_64 #1 SMP Thu Aug 8 17:47:08 UTC 2024 x86_64
Java Version: Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
-----------------------------------------------------------------------------------------------------
MATLAB                                                Version 24.2        (R2024b)      License 284992

Check the GPU(s) available. This command only gives output on nodes with GPU (MIG GPU(s) throw an Error)) installed and when requested:

gpuDeviceTable

MATLAB SLURM sbatch jobscript example using 1 CPU

#!/bin/bash
#SBATCH --job-name=test_matlab
#SBATCH --output=test_matlab-%j.log
#SBATCH --partition=tue.default.q
#SBATCH --nodes=1
#SBATCH --ntasks=1
#SBATCH --cpus-per-task=1
#SBATCH --mem-per-cpu=2gb
#SBATCH --time=00:05:00

module purge
module load MATLAB/2024b

matlab -batch simple
simple.m 
a=1;
b=2;
disp (a + b);
exit;

MATLAB SLURM sbatch jobscript example using 8 CPU

MATLAB by default creates a parpool("Processes") using the available CPUs (--cpus-per-task).

#!/bin/bash
#SBATCH --job-name=test_matlab
#SBATCH --output=test_matlab-%j.log
#SBATCH --partition=tue.default.q
#SBATCH --nodes=1
#SBATCH --ntasks=1
#SBATCH --cpus-per-task=8
#SBATCH --mem-per-cpu=2gb
#SBATCH --time=00:05:00

module purge
module load MATLAB/2024b

matlab -batch parallel
parallel.m 
parfor idx = 1:8
    pause(10);
end
exit;