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,本书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。本书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。
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书名 | 并行开发艺术(影印版) |
分类 | |
作者 | (美)布雷谢斯 |
出版社 | 东南大学出版社 |
下载 | ![]() |
简介 | 编辑推荐 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,本书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。本书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。 内容推荐 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,本书将会帮助你: 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,本书不可或缺。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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