Parallel Computing Toolbox
Abstract
This chapter introduces the key features of MATLAB’s Parallel Computing Toolbox. Task- and data-parallel applications can be parallelized using the features provided by Parallel Computing Toolbox. After reading this chapter, you should be able to:
• understand the key features of Parallel Computing Toolbox.
• execute loop iterations in parallel using a parfor-loop.
• execute code in parallel on MATLAB workers using an spmd statement.
• use distributed and codistributed arrays across many MATLAB workers.
• work interactively with a communicating job using the pmode functionality.
• create and submit jobs on a computer cluster.
understand the key features of Parallel Computing Toolbox.
execute ...
Get GPU Programming in MATLAB now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
