Revision as of 14:25, 2 February 2017

Application Details

• Description: Matlab is a numerical computing environment and programming language developed by MathWorks, MATLAB allows matrix manipulations, plotting of functions and data, and implementation of algorithms. A range of toolboxes (see list below) are available to extend functionality.
• Versions: 2016a, 2017a
• Module names: matlab/2016a, matlab/2017a
• License: University of Hull Total Academic Headcount license, available to everyone
• Forum support: https://www.hpc.hull.ac.uk/forum/viewforum.php?f=14
• Further information: https://www.mathworks.com/products/matlab.html

Interactive

Interactive with full graphical interface:

[username@login01 ~]$ interactive
salloc: Granted job allocation 289663
Job ID 289663 connecting to c170, please wait...
Last login: Thu Jan 26 12:59:11 2017 from 10.254.5.246
[username@c170 ~]$ module add matlab/2016a
[username@c170 ~]$ matlab

Interactive with command line only:

[username@c170 ~]$ matlab -nodisplay

                                                    < M A T L A B (R) >
                                          Copyright 1984-2016 The MathWorks, Inc.
                                           R2016a (9.0.0.341360) 64-bit (glnxa64)
                                                     February 11, 2016


To get started, type one of these: helpwin, helpdesk, or demo.
For product information, visit www.mathworks.com.


        Academic License

>>

Batch Submission

#!/bin/bash
#SBATCH -J MATLAB           # Job name, you can change it to whatever you want
#SBATCH -N 1                # Number of nodes (for Matlab should be always one)
#SBATCH -o %N.%j.out        # Standard output will be written here
#SBATCH -e %N.%j.err        # Standard error will be written here
#SBATCH -p compute          # Slurm partition, where you want the job to be queued 
#SBATCH -t 0-01:30          # Your expected run-time format in D-HH:MM 
#SBATCH --exclusive
 
module purge
module add matlab/2016a
 
matlab -nodisplay -nojvm -nodesktop -nosplash -r my_matlab_m_file

This submission script can be found at /path/to/sample/script Matlab

[username@login01 ~]$ sbatch MATLABtest.job
Submitted batch job 289522

Parallel Matlab

By default Matlab on Viper will run on a single core as mutli-threading conflicts with the schedulers resource management, however there are three ways in which Matlab can utilise multiple processors:

Multi-threading

Matlab can use multiple threads for certain built in functions for example linear algebra and numerical functions such as fft, \ (mldivide), eig, svd, and sort. These functions automatically execute on multiple computational threads in a single MATLAB session, allowing them to execute faster on multicore-enabled machines. Additionally, many functions in Image Processing Toolbox are multithreaded

Parallel Computing Toolbox

The Parallel Computing Toolbox allows you to open a number of workers (separate Matlab engines) on the local node, up to the number of cores on that node (28 for standard nodes in an exclusive session).

>> parpool('local',28)
Starting parallel pool (parpool) using the 'local' profile ... connected to 28 workers.

ans = 

 Pool with properties: 

            Connected: true
           NumWorkers: 28
              Cluster: local
        AttachedFiles: {}
          IdleTimeout: 30 minute(s) (30 minutes remaining)
          SpmdEnabled: true

Distributed Computing Toolbox

The distributed computing toolbox is not currently supported on Viper