Parallel loop vs. single processor (m11.3.2)

Version 1.2.0.0 (6.42 KB) by Bogumila & Zbigniew MROZEK
Describes how to use Parallel Computing Toolbox to speed up computing with multi core computer.
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Updated 14 Aug 2017

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Parallel Computing Toolbox ™ allows you to significantly speed up your workload Intensive computing in MATLAB, simulink, stateflow and using toolbox
Comparing the script containing parfor loop (parallel computing) and sequential computing

Cite As

Bogumila & Zbigniew MROZEK (2026). Parallel loop vs. single processor (m11.3.2) (https://uk.mathworks.com/matlabcentral/fileexchange/64116-parallel-loop-vs-single-processor-m11-3-2), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2017a
Compatible with any release
Platform Compatibility
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Find more on Parallel for-Loops (parfor) in Help Center and MATLAB Answers
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1.2.0.0

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1.1.0.0

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1.0.0.0