Contents

Index

• Getting Started

• Parallel for-Loops (parfor)

• Single Program Multiple Data (spmd)

• Interactive Parallel Computation with pmode

• Math with Codistributed Arrays

• Array Types

Nondistributed Arrays

Codistributed Arrays

• Working with Codistributed Arrays

How MATLAB Software Distributes Arrays

Creating a Codistributed Array

Obtaining Information About the Array

Changing the Dimension of Distribution

Restoring the Full Array

Indexing into a Codistributed Array

2-Dimensional Distribution

• Using a for-Loop Over a Distributed Range (for-drange)

Parallelizing a for-Loop

Codistributed Arrays in a for-drange Loop

Using MATLAB Functions on Codistributed Arrays

• Programming Overview

• Evaluating Functions in a Cluster

• Programming Distributed Jobs

• Programming Parallel Jobs

• Object Reference

• Property Reference

• Release Notes

Learn more about Parallel Computing Toolbox

Math with Codistributed Arrays

This chapter describes the distribution or partition of data across several labs, and the functionality provided for operations on that data in spmd statements, parallel jobs, and pmode. The sections are as follows.

Troubleshooting

Troubleshooting

Array Types

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