MATLAB on HPC Workshop

The MATLAB on HPC workshop will consist of a half-day, in-person course in which attendees will learn how to submit parallel computing jobs with MATLAB on Cyfronet's supercomputer, Ares, to solve compute- and data-intensive problems using its multicore processors and GPUs.

Afterwards, attendees will be able to take advantage of free consultancy for their current/planned MATLAB projects that aim to use parallel computing or could benefit from a performance boost. Please book your consultancy slots below.

Attendees will access Cyfronet's Ares, submit MATLAB jobs and fetch results – all using their notebooks. By working through common scenarios to parallelise MATLAB algorithms, attendees will gain an understanding of parallel computing with MATLAB on HPC clusters and learn about best practices.

Attendees are encouraged to bring along their MATLAB projects to discuss and consult with MathWorks experts.

Level

Target audience

Polish academics and researchers who are working with data or compute-intensive projects and wish to leverage the supercomputing resources of Cyfronet.

Attendees are strongly encouraged to attend the pre-workshop Parallel Computing with MATLAB online webinar on 28th October 2026, which will provide the basic knowledge needed to fully benefit from this workshop.

Highlights

• Optimise your MATLAB code by utilising multiple cores

• Scale up your training on GPUs

• Working with big data in MATLAB 

• Moving/submitting jobs from your notebook to the Ares cluster

• Parallel cluster configuration via local MATLAB GUI

• Free consultation for your MATLAB projects

About the Presenter

Raymond Norris has worked at MathWorks for over 30 years as a Quality Engineer, a Technical Consultant, and now, most recently, as an Application Engineer. At MathWorks, he has written training courses and workshops. Raymond currently leads a team integrating MathWorks parallel tools with end-users' HPC clusters and cloud environments, and gives talks and workshops focused on the parallelisation of MATLAB. 

Raymond holds a BS in computer science and applied mathematics from the University of Massachusetts, Boston and an MS in software engineering from Brandeis University. 

Requirements

Attendees should have working knowledge of MATLAB.

Attendees should bring their own notebooks with MATLAB and the MATLAB Parallel Computing Toolbox installed, Version R2025a, R2025b, R2026a, or R2026b.

Venue

The workshop will be conducted on-site in conference rooms on the ground floor of the Edison office building at Kołowa 8, Kraków, which is about a 15-minute walk from the main ACC Cyfronet Building at Nawojki 11.

Language

English

Duration

3 hours

Registration and eligibility

Registration and the Waiting list close automatically at 23:59 CEST on 29th October 2026. The Registration may close prematurely if the participant limit is reached, but the Waiting List will remain available until the deadline above. We're moderating registration due to logistical constraints. You will be notified about acceptance no later than 30 October.

Please use your institution's e-mail address. Registrations using generic or private e-mail addresses cannot be accepted. At that e-mail address, you will be contacted with further information.

This course is co-funded by the European Union. Therefore, the course is open to participants from academia, industry, and public administration from the Member States (MS) of the European Union (EU) and Associated/Other Countries participating in the Horizon Europe programme.

Organised by

Funded by

Acknowledgements

EuroCC 3 has received funding from the European High-Performance Computing Joint Undertaking (JU) under Grant Agreement No. 101306701. The JU receives support from the European Union's Digital Europe Programme and Germany, Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czechia, Denmark, Estonia, Finland, France, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Montenegro, the Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Türkiye, and Kosovo.