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Mondays with MATLAB June 7, 14, 21 2021

Using MATLAB in an HPC environment.

A three series workshop on parallel computing, Machine Learning, and Deep Learning using large compute resources.

With MATLAB and the MATLAB Parallel Server researchers can use the familiar MATLAB environment to run computationally intensive MATLAB programs efficiently on computer clusters. This event will introduce participants who are familiar with the MATLAB environment to the MATLAB Parallel Server and show how to run batch jobs, parallel computations, and provide understanding on the caveats in running in a cluster environment. The event will also show how to use the built-in capabilities for Machine Learning in MATLAB using the MATLAB Parallel Server and show how to do deep learning with MATLAB using modern GPUs on a cluster computer through the MATLAB Parallel Server

The seminars will be given from 9.00 to 17.00 on three consecutive Mondays in June 2021

  • Event 0 - Orientation on how to access MATLAB on SNIC’s clusters 

    Time - Monday 31 May, 2021, 15:00-16:00 CEST

  • Monday, June 7, 2021 - Hands-on workshop: Parallel Computing with MATLAB - Lecturers Anders Sjöström (CIPA/LUNARC/SNIC) and Raymond Norris (MathWorks) Time - Monday 7 June, 2021, 

      Part 1: 09:00 to 12:00 CEST

      Part2: 13:00 to 17:00 CEST

  • Monday, June 14, 2021 - Hands-on workshop: Machine Learning with MATLAB - Lecturer Antti Löytynoja (MathWorks) Time - Monday 14 June, 2021, 09:00-12:00 CEST
  • Monday, June 21, 2021 - Hands-on workshop: Deep Learning with MATLAB - Lecturer Emelie Andersson (MathWorks) Time - Monday 21 June, 2021, 09:00-12:00 CEST

The workshop series is open to all researchers with an interest in leveraging the power of computer clusters through MATLAB

The workshop series assumes a basic working knowledge of MATLAB. 

The number of seats to partake in the hands-on are served on a first come basis.


Event 0:

Getting access to MATLAB on SNIC. 
LUNARC, Lund (Parallel Computing)
NSC, Linköping (Machine Learning)
C3SE, Chalmers (Deep Learning)  

Event 1:

Parallel Computing with MATLAB

Event 2:

Machine Learning with MATLAB

Machine Learning Onramp

self-paced course

Event 3:

Deep Learning with MATLAB

Deep Learning Onramp

self-paced course




Registration for participating in the workshop sessions now CLOSED


The lectures does NOT require access to the resources. The hands-on sessions can be attended passively as there will be tutors going through the exercises. To take an active part in the hands-on sessions and test the system you need to have an account on the respective resource and be a member on the corresponding project listed below.

Users who do not have access to ANY of the SNIC resources MUST also register in SUPR if they wish to take part in the hands-on sessions. 

In order to take part in the hands-on sessions you need to request membership in the following projects


  • Aurora resource project id: LU 2021/2-80  and storage project SNIC 2021/23-361
  • Tetralith resource project id: SNIC 2021/22-397
  • Alvis resource project id: SNIC 2021/7-61

Once you have been added as a member to the respective project you need to request for an account on each resource through SUPR.


Questions regarding this course should be directed to Lunarc using the support form.

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