August 2016
Intermediate to advanced
318 pages
8h 16m
English
Content preview from GPU Programming in MATLAB
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Chapter 3
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 ...
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