MATLAB in HPC
NHR Tutorial (Hybrid)
The next MATLAB in HPC tutorial is planned for 2027.
Wednesday, 27 May 2026 - Friday, 29 May 2026
MATLAB is a programming and numeric computing platform used by millions of engineers and scientists to analyze data, develop algorithms, and create models. It is developed by MathWorks, the leading developer of mathematical computing software for engineers and scientists. TU Dresden provides all staff and students with free campus-wide MATLAB access, including dedicated toolboxes for various applications.
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 an understanding of 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.
Details are listed below
Day 1 - Workshop Parallel Computing with MATLAB
Day 2 - Building Scalable AI Systems with MATLAB and HPC; Workshop Parallel Computing with MATLAB (TUBAF)
Day 3 – Software Development Processes with MATLAB and Simulink
Handouts
The course material (slides, sample application) will be available.
Further Information
Course language: English
Cost: The course is free of charge.
Target group: 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.
Registration
Link: https://event.zih.tu-dresden.de/Events/view/131
Registration closed on 20/05/2026.
The NHR tutorial is limited to 60 participants.
Venue
TUD Dresden University of Technology
APB Andreas-Pfitzmann-Bau, Room E065
Nöthnitzer Str. 46
01187 Dresden
Germany
https://navigator.tu-dresden.de/karten/dresden/geb/apb
If you have questions regarding content, please contact Holger Brunst ().
If you have questions regarding registration, please contact Diana Häsener ().