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Intel Threading Building Blocks

por Reinders, James

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Formato: Encuadernación Rústica (Paperback)
Editorial: Oreilly & Associates Inc
Tema: COMPUTERS / Programming / Parallel, COMPUTERS / Operating Systems / General, COMPUTERS / Management Information Systems
Tags: Parallel processing (Electronic computers), C++ (Computer program language), C++, Parallelrechner, Parallelverarbeitung
Idioma: Inglés
Páginas: 303
Peso: 454 gramos
Estado: Nuevo
ISBN: 0596514808
ISBN 13: 9780596514808

Precio: US$ 70,28 Libro Disponible Despacho en 7 a 9 días hábiles Si lo compras hoy, lo recibirás entre el Miércoles 06 de Junio de 2012 y el Viernes 08 de Junio de 2012

Agregar a: ¿Qué es?

Resumen del libro

Publisher Summary 1

Intel Threading Building Blocks is "a C++ template library for parallelism that extends C++ by abstracting away thread management and allowing straightforward parallel programming," to quote Reinders (a senior engineer with the Intel Corporation), who explains the advantages and use of Threading Building Blocks. He covers basic and advanced algorithms, data structure capabilities, scalable memory allocation, mutual exclusion, timing, and the task scheduler. He also presents examples of the use of Threading Building Blocks and discusses the history of its design. Prior knowledge of parallel computing, C++ templates, and template libraries is useful but not necessary for understanding the material. Annotation ©2008 Book News, Inc., Portland, OR (booknews.com)

Publisher Summary 2

Multi-core chips from Intel and AMD offer a dramatic boost in speed and responsiveness, and plenty of opportunities for multiprocessing on ordinary desktop computers. But they also present a challenge: More than ever, multithreading is a requirement for good performance. This guide explains how to maximize the benefits of these processors through a portable C++ library that works on Windows, Linux, Macintosh, and Unix systems. With it, you'll learn how to use Intel Threading Building Blocks (TBB) effectively for parallel programming -- without having to be a threading expert.

Written by James Reinders, Chief Evangelist of Intel Software Products, and based on the experience of Intel's developers and customers, this book explains the key tasks in multithreading and how to accomplish them with TBB in a portable and robust manner. With plenty of examples and full reference material, the book lays out common patterns of uses, reveals the gotchas in TBB, and gives important guidelines for choosing among alternatives in order to get the best performance.

You'll learn how Intel Threading Building Blocks:

Enables you to specify tasks instead of threads for better portability, easier programming, more understandable source code, and better performance and scalability in general
Focuses on the goal of parallelizing computationally intensive work to deliver high-level solutions
Is compatible with other threading packages, and doesn't force you to pick one package for your entire program
Emphasizes scalable, data-parallel programming, which allows program performance to increase as you add processors
Relies on generic programming, which enables you to write the best possible algorithms with the fewest constraints

Any C++ programmer who wants to write an application to run on a multi-core system will benefit from this book. TBB is also very approachable for a C programmer or a C++ programmer without much experience with templates. Best of all, you don't need experience with parallel programming or multi-core processors to use this book.

Publisher Summary 3

Book explains how to maximize the benefits of Intel's new dual-core and multi-core processors through a portable C++ library that works on Windows, Linux, Macintosh, and Unix systems.

Publisher Summary 4

More than ever, multithreading is a requirement for good performance of systems with multi-core chips. This book combines the expertise of Intel's developers and customers to teach programmers how to use Intel Threading Building Blocks effectively for parallel programming.

Tabla de Contenidos del libro

Foreword

xiii

Note from the Lead Developer of Intel Threading Building Blocks

Preface

xix

Why Threading Building Blocks?

(6)

Overview

(1)

Benefits

(5)

Thinking Parallel

(22)

Elements of Thinking Parallel

(1)

Decomposition

(4)

Scaling and Speedup

(6)

What Is a Thread?

(3)

Mutual Exclusion and Locks

(1)

Correctness

(2)

Abstraction

(1)

Patterns

(2)

Intuition

(2)

Basic Algorithms

(36)

Initializing and Terminating the Library

(2)

Loop Parallelization

(20)

Recursive Range Specifications

(12)

Summary of Loops

(1)

Advanced Algorithms

(15)

Parallel Algorithms for Streams

(15)

Containers

(21)

concurrent_queue

(5)

concurrent_vector

(5)

concurrent_hash_map

(10)

Scalable Memory Allocation

101

(9)

Limitations

101

(1)

Problems in Memory Allocation

101

(2)

Memory Allocators

103

(1)

Replacing malloc, new, and delete

104

(6)

Mutual Exclusion

110

(20)

When to Use Mutual Exclusion

111

(1)

Mutexes

112

(6)

Mutexes

118

(4)

Atomic Operations

122

(8)

Timing

130

(3)

Task Scheduler

133

(36)

When Task-Based Programming Is Inappropriate

133

(1)

Much Better Than Raw Native Threads

134

(3)

Initializing the Library Is Your Job

137

(1)

Example Program for Fibonacci Numbers

137

(3)

Task Scheduling Overview

140

(2)

How Task Scheduling Works

142

(3)

Recommended Task Recurrence Patterns

145

(2)

Making Best Use of the Scheduler

147

(6)

Task Scheduler Interfaces

153

(15)

Task Scheduler Summary

168

(1)

Keys to Success

169

(8)

Key Steps to Success

169

(1)

Relaxed Sequential Execution

170

(1)

Safe Concurrency for Methods and Libraries

171

(1)

Debug Versus Release

172

(1)

For Efficiency's Sake

172

(1)

Enabling Debugging Features

172

(2)

Mixing with Other Threading Packages

174

(2)

Naming Conventions

176

(1)

Examples

177

(106)

The Aha! Factor

177

(2)

A Few Other Key Points

179

(1)

parallel_for Examples

180

(10)

The Game of Life

190

(9)

Parallel_reduce Examples

199

(10)

CountStrings: Using concurrent_hash_map

209

(6)

Quicksort: Visualizing Task Stealing

215

(8)

A Better Matrix Multiply (Strassen)

223

(7)

Advanced Task Programming

230

(7)

Packet Processing Pipeline

237

(20)

Memory Allocation

257

(5)

Game Threading Example

262

(9)

Physics Interaction and Update Code

271

(4)

Open Dynamics Engine

275

(8)

History and Related Projects

283

(14)

Libraries

283

(2)

Languages

285

(1)

Pragmas

286

(1)

Generic Programming

286

(3)

Caches

289

(1)

Costs of Time Slicing

290

(1)

Quick Introduction to Lambda Functions

291

(1)

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