During this hands-on self-paced workshop, a MathWorks engineer will introduce you to parallel and distributed computing in MATLAB with a focus on speeding up your application code and offloading compute.
By working through common scenarios and workflows using hands-on demos, you will gain an understanding of the parallel constructs in MATLAB, their capabilities, and some of the common hurdles that you’ll encounter when using them.
You’ll also learn how to run your MATLAB code on local HPC resources.
Senior Application Engineer, MathWorks
Raymond has worked at MathWorks for over 25 years, as a Quality Engineer, a Technical Consultant, and now most recently as an Application Engineer. During his time at MathWorks, he has written training courses on the MATLAB Compiler and MEX API. Raymond currently leads a small team of engineers to integrate MathWorks parallel tools with end-user’s HPC cluster and cloud environments.
Raymond holds a B.S. in computer science and applied mathematics from the University of Massachusetts Boston and a M.S. in software engineering from Brandeis University.