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Contents

Index

• Getting Started

Running Parallel for-Loops (parfor)

Executing Batch Jobs in Parallel

Partitioning Large Data Sets

Interactively Run a Loop in Parallel

Run a Batch Job

Run a Batch Parallel Loop

Run Script as Batch Jobs from the Current Folder Browser

Distributing Arrays and Running SPMD

• User's Guide

• Parallel for-Loops (parfor)

• Single Program Multiple Data (spmd)

• Interactive Parallel Computation with pmode

• Math with Codistributed Arrays

• Nondistributed Versus Distributed Arrays

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

• Evaluate Functions in a Cluster

• Program Independent Jobs

• Program Communicating Jobs

• GPU Computing

• Object Reference

• Property Reference

• Release Notes

Math with Codistributed Arrays

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

pmode Troubleshooting

pmode Troubleshooting

Nondistributed Versus Distributed Arrays

Nondistributed Versus Distributed Arrays

Free Parallel Computing Interactive Kit

See how to solve large problems with minimal effort and reduce simulation time.

Trials Available

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