Live Events

Workshop 1: Parallel Computing with MATLAB

Start Time End Time
7 Sep 2026, 08:00 EDT 7 Sep 2026, 11:00 EDT

Overview

This hands-on workshop introduces parallel computing in MATLAB for accelerating computationally intensive applications. Participants will explore practical workflows for leveraging multicore CPUs, learn the key parallel programming constructs available in MATLAB, and understand their capabilities and limitations. The workshop also covers the fundamentals of GPU computing and techniques for processing large datasets. Attendees will gain hands-on experience through guided exercises and will have the opportunity to discuss their own applications with MathWorks experts.

Highlights

  • MATLAB parallel language constructs
  • GPU computing with MATLAB
  • Working with large datasets

Who Should Attend

This workshop is for students and researchers interested in Parallel Computing with MATLAB. If you are exploring parallel and high-performance computing with MATLAB, join this workshop to help you understand the MATLAB parallel language concepts and capabilities.

About the Presenter

Alessio Conte is an Education Customer Success Engineer at MathWorks specializing in high-performance and parallel computing with MATLAB. He supports academic and research collaborations across universities and research institutions. He holds a master's degree in Civil and Environmental Engineering from Sapienza University of Rome. 

Prerequisites

  • Basic MATLAB skills are recommended. If you are a complete MATLAB beginner, you can look through the MATLAB Academy, specifically the free MATLAB Onramp online course to familiarize yourself with MATLAB beforehand.
  • A supported browser Browser Requirements - MATLAB & Simulink
  • A MathWorks Account.  If you do not already have a MathWorks Account, please go to MathWorks Account Sign In to create one. Anyone can create an account for free, it is not required that your university has a campus license.
  • Instead of the MATLAB Online instance, you may use your own installation of MATLAB if it has a multi-core CPU and access to a GPU.

Product Focus

This event is part of a series of related topics. View the full list of events in this series.

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