matlab

Software Summary

Mesabi

Default Module:

R2014a

Other Modules Available:

R2020a, R2021a, R2022a, R2017b, R2010b, R2019a, R2011a, R2011b, R2012a, R2016b, R2012b, R2015b, R2013a, R2015a, R2013b, R2014b, R2014a

Last Updated On:

Friday, May 19, 2023

Mesabi K40

Default Module:

R2014a

Other Modules Available:

R2020a, R2021a, R2022a, R2017b, R2010b, R2019a, R2011a, R2011b, R2012a, R2016b, R2012b, R2015b, R2013a, R2015a, R2013b, R2014b, R2014a

Last Updated On:

Friday, May 19, 2023

Mangi

Default Module:

R2014a

Other Modules Available:

R2020a, R2021a, R2022a, R2017b, R2010b, R2019a, R2011a, R2011b, R2012a, R2016b, R2012b, R2015b, R2013a, R2015a, R2013b, R2014b, R2014a

Last Updated On:

Friday, May 19, 2023

Mangi v100

Default Module:

R2014a

Other Modules Available:

R2020a, R2021a, R2022a, R2017b, R2010b, R2019a, R2011a, R2011b, R2012a, R2016b, R2012b, R2015b, R2013a, R2015a, R2013b, R2014b, R2014a

Last Updated On:

Friday, May 19, 2023

NICE

Default Module:

R2014a

Other Versions Available:

R2020a, R2021a, R2022a, R2017b, R2010b, R2019a, R2011a, R2011b, R2012a, R2016b, R2012b, R2015b, R2013a, R2015a, R2013b, R2014b, R2014a

Last Updated On:

Friday, May 19, 2023

Last Updated On:

Friday, May 19, 2023

Support Level:

Primary Support

Software Access Level:

Limited Licenses

Home Page:

Link

Software Categories:

Electrical Engineering

Fluid Dynamics

Biomedical Imaging

Data Mining

Comprehensive Math

Numerical Libraries

Statistics

Image Processing

Software Description

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

Software Documentation

Software Documentation Tabs

General Linux

To run this software interactively in a Linux environment run the commands:

module load matlab
matlab

Several versions of Matlab are available, but the versions may be different on different platforms.To list all versions of Matlab available on the machine, type

module avail matlab

When running on the elmob nodes use this module instead:

module load matlab/R2010b
matlab

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 small,large,ram256g,ram1t
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;"

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 "ppn=". Note that "cl.parpool()" autodetects the number of workers based on the value of maxNumCompThreads() in your PBS script. Or you can override the value by passing it as the first argument (e.g., "cl.parpool(4)").

cl=parcluster('local')
pool = cl.parpool()

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