Parallel Computing Toolbox

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Contents

Index

• Getting Started

Product Overview

• Key Problems Addressed by Parallel Computing

Running Parallel for-Loops (parfor)

Executing Batch Jobs in Parallel

Partitioning Large Data Sets

• Introduction to Parallel Solutions

Interactively Run a Loop in Parallel

Run a Batch Job

Run a Batch Parallel Loop

Run Scripts as Batch Jobs from the Current Folder Browser

Distributing Arrays and Running SPMD

Determining Product Installation and Versions

• User's Guide

• Parallel for-Loops (parfor)

• Getting Started with parfor

• Programming Considerations

• Advanced Topics

• Single Program Multiple Data (spmd)

• Executing Simultaneously on Multiple Data Sets

• Accessing Data with Composites

• Distributing Arrays

• Programming Tips

• Interactive Parallel Computation with pmode

pmode Versus spmd

Run Parallel Jobs Interactively Using pmode

Parallel Command Window

Running pmode Interactive Jobs on a Cluster

Plotting Distributed Data Using pmode

• pmode Limitations and Unexpected Results

• pmode Troubleshooting

• Math with Codistributed Arrays

• Nondistributed Versus Distributed Arrays

• Working with Codistributed Arrays

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

Using MATLAB Functions on Codistributed Arrays

• Programming Overview

• How Parallel Computing Products Run a Job

• Create Simple Distributed Jobs

• Parallel Configurations for Cluster Access

• Job Monitor

• Programming Tips

• Profiling Parallel Code

• Benchmarking Performance

• Troubleshooting and Debugging

• Evaluate Functions in a Cluster

• Evaluate Functions Synchronously

Evaluate Functions Asynchronously

• Program Distributed Jobs

• Use a Local Scheduler

• Use a Job Manager

• Use a Fully Supported Third-Party Scheduler

• Use the Generic Scheduler Interface

• Program Parallel Jobs

Introduction

• Use a Supported Scheduler

• Use the Generic Scheduler Interface

• Further Notes on Parallel Jobs

• GPU Computing

• When to Use a GPU for Matrix Operations

• Using GPUArray

• Execute MATLAB Code on a GPU

• Identify and Select a GPU from Multiple GPUs

• Executing CUDA or PTX Code on the GPU

• GPU Characteristics and Limitations

• Object Reference

Data

Schedulers

Generic Scheduler Interface Tools

Jobs

Tasks

Workers

Graphics Processing Unit

• Functions

• Release Notes

	Functions:
	By Category
	Alphabetical List

	Properties:
	By Category
	Alphabetical List

	Objects:
	By Category
	Alphabetical List



	Documentation Set

	Getting Started
	Introduces the Parallel Computing Toolbox product and gets you started using it

	User's Guide
	Provides tutorials and comprehensive information about Parallel Computing Toolbox software

	Examples in Documentation
	Lists major examples in the Parallel Computing Toolbox documentation



	Product Demos

	Parallel Computing Toolbox Demos
	Presents a collection of demos that help you learn the product



	What's New

	Release Notes
	Summarizes new features, bug fixes, upgrade issues, etc.



	Printable (PDF) Documentation on the Web

	PDF Documents
	Provides printable versions of documentation for Parallel Computing Toolbox

MathWorks Web Site Resources

	Demos
	MATLAB Central
	Product Page
	Platforms & Requirements

	Related Books
	Related Products
	Technical Support
	Installing MATLAB® Distributed Computing Server

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