[RCAC Workshop] MATLAB Parallel Computing Hands-on Workshop
Registration is through Mathworks at the registration link
Session 1: Parallel Computing with MATLAB
Feb 12, 2025, 1:00 PM EST - Feb 12, 2025, 4:00 PM EST
This hands-on workshop seminar will introduce you to parallel computing with MATLAB®, so that you can solve computationally and data-intensive problems using multicore processors, GPUs, and computer clusters. Examples will be presented on Community Clusters which participants can follow during the session in their own MATLAB instances. By working through common scenarios to parallelize MATLAB algorithms, you will gain an understanding of parallel computing with MATLAB and learn about best practices.
Examples will vary in difficulty from simple parallel usage concepts to more advanced techniques.
-
Speeding up MATLAB applications with parallel computing -
Running multiple Simulink simulations in parallel -
GPU computing -
Working with large data sets
Session 2: Scaling your MATLAB Code to Community Clusters
Feb 13, 2025 9:00AM EST - Feb 13, 2025, 12:00PM EST
During this hands-on workshop, attendees will learn how to offload their MATLAB code by submitting MATLAB jobs to Community Clusters. At the conclusion, attendees will learn the following:
-
How to configure MATLAB to submit jobs to Community Clusters -
The job submission workflow -
Ways to tune job submissions, including accessing GPUs on Community Clusters -
How to optimize job submissions -
Troubleshooting job submission techniques -
Best practices for rehosting code
Who Should Attend
Faculty, staff, researchers, and students are welcome! Attendees should have some MATLAB knowledge. Optional free introductory MATLAB Onramp Training here.
Additional Information for Workshop Registrants
-
Please bring your laptop with MATLAB 2024b and Parallel Computing Toolbox installed. MATLAB Campus-Wide License Access and Support for everyone at Purdue: Purdue University - MATLAB Access for Everyone - MATLAB & Simulink -
You will not need to have an active account on RCAC resources as training accounts will be provided during the workshop.