Workshop 1: Parallel Computing with MATLAB

Overview

During this hands-on workshop, you will be introduced to parallel and distributed computing in MATLAB for speeding up your application and offloading work. By working through common scenarios and workflows, you will gain an understanding of the parallel constructs in MATLAB, their capabilities, and some of the typical issues that arise when using them.

Please note that this is a repeat of the workshop presented in April.

Highlights

MATLAB parallel language constructs: Speeding up programs with parallel computing
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

Dr. Mihaela Jarema is part of the Academia Group at MathWorks in Munich/Germany. She partners with research institutes in Germany to accelerate their discovery and learning. Mihaela holds a PhD degree in computer science from Technische Universität München. During her PhD, she has used MATLAB to model ensemble data, evaluate, and visualize the associated variability.

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.

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

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