MathWorks is presenting a hands-on workshop on September 9. During this workshop, we will introduce 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 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
To learn more about using MATLAB and parallel computing, please visit: Using Parallel Computing with MATLAB and Simulink. If you have any questions, please contact Tom McHugh, tmchugh@mathworks.com.
Registration
Please register here.