When
1 – 4 p.m., April 24, 2024
During this hands-on workshop, we will introduce parallel and distributed computing in MATLAB with a focus on speeding up application codes and offloading compute. By working through common scenarios and workflows using hands-on demos, you will gain a detailed understanding of the parallel constructs in MATLAB, their capabilities, and some of the common hurdles that you'll encounter when using them.
Highlights
- Multithreading vs multiprocessing
- When to use parfor vs parfeval constructs
- Creating data queues for data transfer
- Leveraging NVIDIA GPUs
- Parallelizing Simulink models
- Working with large data
Contacts
Chris Reidy