Workshop: Parallel Computing with MATLAB (EMEA-wide EDU)
| Start Time | End Time |
|---|---|
| 25 Mar 2026, 05:00 EDT | 25 Mar 2026, 08:00 EDT |
Overview
Your MATLAB workflows already deliver great research results — are you ready to achieve even more by using your powerful hardware effectively?
Modern research increasingly benefits from making effective use of multi‑core processors, GPUs, and clusters. In this workshop, the MathWorks Academia Team introduces practical parallel programming constructs in MATLAB that support scalable and efficient computational workflows.
You will learn how to structure MATLAB code for parallel execution on desktop systems, GPUs, and local clusters. The focus is on practical techniques that build on existing MATLAB knowledge and can be directly applied in day‑to‑day research.
Highlights
- Gain insights into MATLAB multi-threading and multi-core processing.
- Engage in hands-on exercises to learn powerful MATLAB parallel language constructs.
- Discover the capabilities of GPU computing with MATLAB.
- Learn how to batch-process MATLAB code on clusters and clouds.
Who Should Attend
The workshop is for students, scientists, and researchers at universities or research institutes in non-degree granting organizations. A beginner to intermediate MATLAB knowledge is expected. If you have a growing demand for MATLAB performance or plan to increase the scale of your data analysis or simulation codes, this course is for you!
About the Presenter
Shubo Chakrabarti, Alessio Conte and Thomas Künzel focus on scientific- and high-performance computing applications with MATLAB. They support researchers throughout EMEA in effectively using local and remote parallel resources for their computational projects.
This workshop is presented by Dr. Thomas Künzel. Thomas holds a PhD in Zoology/Animal Physiology from RWTH Aachen University and led a research group in auditory neuroscience before he joined the MathWorks.
We will not sell or rent your personal contact information. See our privacy policy for details.
You are already signed in to your MathWorks Account. Please press the "Submit" button to complete the process.
