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词条 并行开发艺术
释义

基本信息

出版社: 东南大学出版社; 第1版 (2010年1月1日)

外文书名: The Art of Concurrency

平装: 285页

正文语种: 英语

开本: 16

ISBN: 9787564119294

内容简介

如果你想利用并发程序设计充分发挥多核心处理器的性能,《并行开发艺术(影印版)》就为你提供了所需要的实践知识和亲身体验。《并行开发艺术》是一份难得的材料,专注于多核心处理器的共享内存模型,而不只是理论模型或分布式内存架构。《并行开发艺术(影印版)》提供了详尽的解释和可用的示例,帮助你将算法从串行代码转化为并行代码,此外还包括建议和分析,避免程序员的典型错误。

作者为Intel资深工程师,拥有超过20年的并行和并发编程经验,《并行开发艺术(影印版)》将会帮助你:

· 探索共享内存与分布式内存编程间的区别

· 学习设计多线程程序的指导方针,包括测试和调整

· 研究如何善用不同的线程库,包括Windows线程、POSIX线程、OpenMP和Intel Threading Building Blocks

· 研究如何实现排序、查找、图形和其他实用计算的并行算法

《并行开发艺术》向你展示如何扩展算法,以从新型的多核处理器中获益。对于开发并行算法和并发编程来说,《并行开发艺术(影印版)》不可或缺。

编辑推荐

《并行开发艺术(影印版)》是由东南大学出版社出版的。

媒体推荐

“这本书紧扣题目,令人赏心悦目。艺术无法传授,但追随大师的脚印便可觅得踪迹。作者在超级计算机公司工作30余年,而后又在学术界浸淫10年,我可以毫无疑问地说,本书实至名归。”

──Tom Murphy,Contra Costa学院,计算机科学程序委员会主席

“终于,一本专注于并发的书籍出现了。它包含诸多现实世界的非凡算法,利用并行编程技术对其进行分析,提升它们的性能。”

──Mike Pearce,Intel Software Network,并行计算体系主管

作者简介

Clay Breshears博士,是Intel公司的课程架构师,专攻多核心及多线程程序设计与培训。

目录

PREFACE

1 WANT TO GO FASTER? RAISE YOUR HANDS IF YOU WANT TO GO FASTER!

Some Questions You May Have

Four Steps of a Threading Methodology

Background of Parallel Algorithms

Shared-Memory Programming Versus Distributed-Memory Programming

This Book’s Approach to Concurrent Programming

2 CONCURRENT OR NOT CONCURRENT?

Design Models for Concurrent Algorithms

What’s Not Parallel

3 PROVING CORRECTNESS AND MEASURING PERFORMANCE

Verification of Parallel Algorithms

Example: The Critical Section Problem

Performance Metrics (How Am I Doing?)

Review of the Evolution for Supporting Parallelism in Hardware

4 EIGHT SIMPLE RULES FOR DESIGNING MULTITHREADED APPLICATIONS

Rule 1: Identify Truly Independent Computations

Rule 2: Implement Concurrency at the Highest Level Possible

Rule 3: Plan Early for Scalability to Take Advantage of Increasing Numbers of Cores

Rule 4: Make Use of Thread-Safe Libraries Wherever Possible

Rule 5: Use the Right Threading Model

Rule 6: Never Assume a Particular Order of Execution

Rule 7: Use Thread-Local Storage Whenever Possible or Associate Locks to Specific Data

Rule 8: Dare to Change the Algorithm for a Better Chance of Concurrency

Summary

5 THREADING LIBRARIES

Implicit Threading

Explicit Threading

What Else Is Out There?

Domain-Specific Libraries

6 PARALLEL SUM AND PREFIX SCAN

Parallel Sum

Prefix Scan

Selection

A Final Thought

7 MAPREDUCE

Map As a Concurrent Operation

Reduce As a Concurrent Operation

Applying MapReduce

MapReduce As Generic Concurrency

8 SORTING

Bubblesort

Odd-Even Transposition Sort

Shellsort

Quicksort

Radix Sort

9 SEARCHING

Unsorted Sequence

Binary Search

10 GRAPH ALGORITHMS

Depth-First Search

All-Pairs Shortest Path

Minimum Spanning Tree

11 THREADING TOOLS

Debuggers

Performance Tools

Anything Else Out There?

Go Forth and Conquer

GLOSSARY

PHOTO CREDITS

INDEX

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