Jan 30 – 31, 2024
Europe/Vienna timezone

Start date:  30 Jan 2024, 14:00 (CET)     Entry level:  Basic
End date:  31 Jan 2024, 17:30 (CET)     Subject area:  Parallel programming
Location:  ONLINE (WebEx)     Topics:  MATLAB
Language:  English     Target audience:  Academia, industry, public sector
Price:  Free (for eligible participants)     Organizers:  VSC & EuroCC Austria & MathWorks


Welcome to the first MATLAB workshop at the Vienna Scientific Cluster (VSC) – two afternoon hands-on workshops combined into one training event. We will cover everything you need to get started with parallel computing with MATLAB and using MATLAB on the HPC systems of the VSC.

On the first day, we will introduce you to parallel computing with MATLAB so that you can solve compute- and data-intensive problems using multicore processors, GPUs, and computer clusters. By working through common scenarios to parallelize MATLAB algorithms, you will gain an understanding of parallel computing with MATLAB and learn about best practices.

On the second day, you will learn how to access the HPC computing environment and clusters from VSC. We will demonstrate how to access these clusters, submit jobs, fetch results, and introduce best practices using MATLAB and performing parallel computing on HPC systems.


  • Optimizing your MATLAB code by utilizing multiple cores
  • Scaling up your computations: GPU and cluster computing
  • Working with large data sets
  • Accessing MATLAB on the VSC clusters
  • Moving/submitting jobs from your local machine to the cluster
  • Debugging, troubleshooting, and best practices with job submission

Entry level



For both days, basic knowledge of MATLAB is required.                       
For the second day, attending the first day is strongly recommended.

Target audience

Course for academia, industry, and public administration.

This training event is especially targeting scientists who are working with computationally intensive problems or big data and want to speed up their MATLAB code through parallel computing on HPC environments such as the VSC.

Course format

This course will be delivered as a LIVE ONLINE COURSE (using WebEx).

Hands-on labs

On the first day, the workshop will be done using MATLAB Online – available via your browser. You will be provided with workshop accounts for accessing MATLAB Online and all course material will be pre-loaded onto MATLAB Drive – the cloud storage space on MATLAB Online.

On the second day, for the hands-on sessions, the HPC resources of VSC will be used – you will get a temporary user account on the VSC systems and login via the VSC Jupyterhub that features a full MATLAB integration.

Once accepted, you will be contacted approximately one week before the course with all information needed to have the local setup ready for the course. Additionally, all participants will be asked to do a short PRE-ASSIGNMENT that has to be completed before the course starts.


First day:                  
Thomas Künzel (Customer Success Engineer, MathWorks)                  
and teaching assistants from his team

Second day:                  
Raymond Norris (Parallel Computing Application Engineer, MathWorks)                  
and teaching assistants from his team and from VSC



Date, time, and location

30.-31.01.2024, 14:00 – 17:30 CET, LIVE ONLINE COURSE (using WebEx)

Prices and eligibility

This course is partly funded by the EuroCC 2 project. Therefore, the course is open and free of charge for participants from academia, industry, and public administration from the Member States (MS) of the European Union (EU) and Associated/Other Countries to the Horizon 2020 programme.


The registration form and deadlines are available from the left menu. The registration form might close even before the deadline if the number of registrations has reached its maximum (and will open again if there are cancelations).

Please register with your official email address to prove your affiliation.

You will get an automatic confirmation via email (subject starting with "[Indico] Registration"), please check your Spam/Junk folders.

Following your successful registration, you will receive further information approximately 1 week before the course.


After the number of registrations has reached its maximum or the registration form has been closed, you may want to send us an email stating that you are interested to be put on the waiting list (vacancies may occur due to cancelations, etc.).

To be able to do the hands-on labs on the VSC please provide your full international mobile-phone number for the two-factor authentication required to login to the VSC systems.

Modification, withdrawal & no-show policy

Your registration is binding. Please only register for the course if you are really going to attend.

You can update your registration data or withdraw your registration anytime before the registration form has been closed via the link "Manage my registration" which you can find at the bottom of your automatic email confirmation (subject starting with "[Indico] Registration").

Alternatively, or after the registration form has been closed, please inform us about your cancelation or any change in your registration data (especially your mobile-phone number) via email (training-eurocc@vsc.ac.at).

No-show policy: If you do not cancel and do not show up at the course you will be blacklisted and excluded from future training events.



This course is jointly organized by the VSC Research Center, TU Wien, EuroCC Austria, and MathWorks.


This course is partially funded by the EuroCC 2 project.

The project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101101903. The JU receives support from the Digital Europe Programme and Austria, Belgium, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, and Türkiye.

Additional funding for the project comes from the Austrian federal ministries BMBWF and BMK.