# matlab

## Summary

+ **Module Name:** matlab
+ **Support Level:** Primary Support
+ **Software Access Level:** Limited Licenses
+ **Home Page:** [https://www.mathworks.com/products/matlab.html](https://www.mathworks.com/products/matlab.html)

## Software Description

Matlab is a high level technical computing language and interactive
environment for data visualization, data analysis, numerical
computation, and algorithm development.
## General Linux

To load this module for use in a Linux environment, you can run the command:

	module load matlab

Depending on where you are working, there may be more than one version of matlab available.
To see which modules are available for loading you can run:

	module avail matlab
## Parallel Test Script

The following test script demonstrates how easily Matlab loops can be
parallelized with "parfor". Basic benchmarking information is included
and will vary with your choice of "--ntasks-per-node" in your Slurm script.
Note that "cl.parpool()" will use the number of workers specified by
the SLURM_NTASKS environment variable. You can override this value by
passing it directly (e.g., "cl.parpool(4)").

    % Get number of workers from Slurm
    nWorkers = str2num(getenv('SLURM_NTASKS'));

    % Create parallel pool
    cl = parcluster('local');
    pool = cl.parpool(nWorkers);

    N=50000000

    tic
    for i = 1:N
     A(i) = rand(1,1);
    end
    serial_time=toc

    tic
    parfor i = 1:N
     A(i) = rand(1,1);
    end
    parallel_time=toc

    speedup = serial_time / parallel_time
    efficiency = speedup / pool.NumWorkers

    exit

To run this script on Agate, save it as 'parallel_test.m' and submit using a
Slurm script like this (save as 'run_matlab.slurm'):

    #!/bin/bash
    #SBATCH --nodes=1 --ntasks-per-node=8
    #SBATCH --mem=16gb
    #SBATCH --time=1:00:00
    #SBATCH --output=%j.out

    cd $SLURM_SUBMIT_DIR
    module load matlab
    matlab -nodisplay -nodesktop -r "parallel_test"

Submit the job with:

    sbatch run_matlab.slurm
## Slurm Example


	#!/bin/bash
	#SBATCH --job-name="rfm_RunMATLABTest_job"
	#SBATCH --ntasks=1
	#SBATCH --ntasks-per-node=1
	#SBATCH --output=rfm_RunMATLABTest_job.out
	#SBATCH --error=rfm_RunMATLABTest_job.err
	#SBATCH --time=0:10:0
	#SBATCH -p msismall

	module load matlab/R2019a
	wget https://public.s3.msi.umn.edu/reframe/sw/matlab/script.m
	matlab -nodisplay -nodesktop -nosplash -r "run('script.m'); exit;"