Purdue to host MATLAB Parallel Computing Workshop
The Rosen Center for 
Advanced Computing (RCAC) is excited to announce a special two-session workshop titled “Parallel Computing with MATLAB.” MathWorks, the developer of MATLAB, is leading the workshop, which will take place at Purdue University on February 12th (1 p.m. to 4 p.m.) and 13th (9 a.m. to 12 p.m.).
MATLAB is a high-performance programming language and numeric computing platform used for technical computing. It is utilized for a number of different engineering and scientific applications, including data analysis, graphics, programming, app building, and research and development.
The upcoming “Parallel Computing with MATLAB” workshop is designed for faculty, staff, researchers, and students who are interested in solving computationally and data-intensive problems using MATLAB. Anyone with some MATLAB knowledge is welcome to join. For those who would like to obtain this knowledge in order to attend or who want to brush up on MATLAB basics, an optional free introductory MATLAB Onramp Training is available here: https://matlabacademy.mathworks.com/details/matlab-onramp/gettingstarted
Session Details:
Session 1: Parallel Computing with MATLAB Date: February 12, 2025 Time: 1:00 PM - 4:00 PM EST Venue: Stewart Center, Room 278
This session will introduce you to parallel computing with MATLAB, covering topics such as:
- 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 Date: February 13, 2025 Time: 9:00 AM - 12:00 PM EST Venue: Stewart Center, Room 278
In this session, you will learn how to offload your MATLAB code by submitting MATLAB jobs to Community Clusters, including:
- Configuring MATLAB to submit jobs to Community Clusters
- Job submission workflow
- Tuning job submissions, including accessing GPUs on Community Clusters
- Optimizing job submissions
- Troubleshooting job submission techniques
- Best practices for rehosting code
Presenters:
Gen Sasaki: Principal Customer Success Engineer at MathWorks, with extensive experience in the automotive and aerospace sectors.
Damian Pietrus: Parallel Computing Application Engineer at MathWorks, specializing in integrating MATLAB Parallel Server with various HPC and cloud environments.
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 can be found here. Training accounts will be provided during the workshop, so you do not need an active account on RCAC resources.
MathWorks is handling the registration for this workshop. Please express your intention to attend at: Parallel Computing Hands-on Workshop Registration.
Written by: Jonathan Poole, poole43@purdue.edu