Contents

Index

• Getting Started

• Parallel for-Loops (parfor)

• Single Program Multiple Data (spmd)

• Interactive Parallel Computation with pmode

• Math with Codistributed Arrays

• Programming Overview

• Product Introduction

Toolbox and Server Components

• Using Parallel Computing Toolbox Software

Example: Evaluating a Basic Function

Example: Programming a Basic Job with a Local Scheduler

Program Development Guidelines

Life Cycle of a Job

• Programming with User Configurations

Defining Configurations

Exporting and Importing Configurations

Validating Configurations

Applying Configurations in Client Code

• Programming Tips and Notes

Saving or Sending Objects

Current Working Directory of a MATLAB Worker

Using clear functions

Running Tasks That Call Simulink Software

Using the pause Function

Transmitting Large Amounts of Data

Interrupting a Job

Speeding Up a Job

• Using the Parallel Profiler

Collecting Parallel Profile Data

Viewing Parallel Profile Data

• Troubleshooting and Debugging

Object Data Size Limitations

File Access and Permissions

No Results or Failed Job

Connection Problems Between the Client and Job Manager

• Evaluating Functions in a Cluster

• Programming Distributed Jobs

• Programming Parallel Jobs

• Object Reference

• Property Reference

• Release Notes

Learn more about Parallel Computing Toolbox

Programming Overview

This chapter provides information you need for programming with Parallel Computing Toolbox software. Further details of evaluating functions in a cluster, programming distributed jobs, and programming parallel jobs are covered in later chapters. This chapter describes features common to programming all kinds of jobs. The sections are as follows.

Using MATLAB Functions on Codistributed Arrays

Using MATLAB Functions on Codistributed Arrays

Product Introduction

Product Introduction

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