- Sponsor
- MathWorks, NCSA
- Registration
- Registration link
- Contact
- Sandra Kappes
- kappes@illinois.edu
- Views
- 56
During this hands-on workshop, you will learn about parallel and distributed computing in MATLAB with a focus on speeding up application codes and offloading computers. 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 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