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计算机体系结构量化研究方法(英文版·第4版)

计算机体系结构量化研究方法(英文版·第4版)

定 价:¥78.00

作 者: (美)斯坦福大学
出版社: 机械工业
丛编项:
标 签: 系统结构

ISBN: 9787111203780 出版时间: 2007-01-01 包装: 平装
开本: 16开 页数: 623 字数:  

内容简介

  本书系统地介绍了计算机系统的设计基础、指令集系统结构,流水线和指令集并行技术。层次化存储系统与存储设备。互连网络以及多处理器系统等重要内容。在这个最新版中,作者更新了单核处理器到多核处理器的历史发展过程的相关内容,同时依然使用他们广受好评的“量化研究方法”进行计算设计,并展示了多种可以实现并行,陛的技术,而这些技术可以看成是展现多处理器体系结构威力的关键!在介绍多处理器时,作者不但讲解了处理器的性能,还介绍了有关的设计要素,包括能力。可靠性、可用性和可信性。本书内容丰富,既介绍了当今计算机体系结构的最新研究成果,也引述了许多计算机系统设计开发方面的实践经验。另外,各章结尾还附有大量的习题和参考文献。本书既可以作为高等院校计算机专业高年级本科生和研究生学习“计算机体系结构”和“计算机组成原理”等课程的教材或参考书,也可供与计算机相关的专业人士学习参考。本书特色每章中的“Putting,It All Together”小节关注了业界的各种最新技术,包括Sun Niagara处理器、AMD Opteron处理器以及Intel Pentium 4处理器。“Review appendices”小节中收录了正文内容所依赖的基本和中间准则。每章最后都有一个由工业或学术界的专家提供的“Case Studies”,以及与之配套的练习题,以便读者更深入地理解和掌握每章中所论述的关键概念。附赠光盘中的“Reference appendices”收录了一些特邀学术专家的文章,其中包括嵌入式系统。向量处理机。互连网络和大规模多处理9S等很多方面的内容。 多处理器时代已经不可避免地到来了。当我们告别单核处理器并迈入芯片多重处理技术的时代时,这部经典著作的最新版恰好出版。很少有其他著作能像本书一样在业界造成如此重大的影响,并且可以肯定,这个最新版在未来的一段时间内都会成为该领域内的权威读物。——Luiz Andre Barroso,Google公司如果你问下面哪个可算作经典:甲壳虫乐队,HP计算器,巧克力曲奇饼,还足这本书?我会告诉你,它们都很经典,因为它们都经受住了时间的考验!

作者简介

  John L.Hennessy,斯坦福大学校长,IEEE和ACM会士,美国国家工程研究院院士及美国科学艺术研究院院士,因在RISC技术方面做出的突出贡献而荣获了2001年的Eckert-Mauchly奖。同时他也是2001是Seymour Cray计算机工程奖得主,并且和本书另外一位作者David A.Patterson分享了2000的IEEE John von Neumann奖。

图书目录

Foreword.  
Preface  
A knowledgments  
Chapter 1  Fundamentals of Computer Design  
1.1 Introduction  
1.2 Classes of Computers  
1.3 Defining Computer Ar hitecture  
1.4 Trends in Technology  
1.5 Trends in Power in Integrated Circuits  
1.6 Trends in Cost  
1.7 Dependability  
1.8 Measuring, Reporting, and Summarizing Performance  
1.9 Quantitative Principles of Computer Design  
1.10 Putting It All Together: Performance and Price-Performance  
1.11 Falla ies and Pitfalls  
1.12 Con luding Remarks  
1.13 Historical Perspectives and References Case Studies with Exercises by Diana Franklin  
Chapter 2  Instru tion-Level Parallelism and Its Exploitation  
2.1 Instruction-Level Parallelism: Concepts and Challenges  
2.2 Basi CompilerTe hniques for Exposing lLP  
2.3 Reducing Branch Costs with Prediction  
2.4 Overcoming Data Hazards with Dynami Scheduling  
2.5 Dynami Scheduling: Examples and the Algorithm  
2.6 Hardware-Based Speculation  
2.7 Exploiting lLP Using Multiple Issue and Stati Scheduling  
2.8 Exploiting lLP Using Dynami Scheduling, Multiple Issue,and Speculation  
2.9 Advanced Techniques for Instruction Delivery and Speculation  
2.10 Putting It AIITogether:The Intel Pentium 4  
2.11 Fallacies and Pitfalls  
2.12 Concluding Remarks  
2.13 Historical Perspective and References Case Studies with Exercises by Robert R Colwell  
Chapter 3  Limits on Instruction-Level Parallelism  
3.1 Introduction  
3.2 Studies of the Limitations of lLP  
3.3 Limitations On lLP for Realizable Processors  
3.4 Crosscutting Issues: Hardwarecversus Software Speculation  
3.5 Multithreading:Using lLP Support to Exploit Thread-Level Parallelism  
3.6 Putting It All Together: Performance and Efficiency in Advanced Multiple-Issue Processors  
3.7 Fallacies and Pitfalls  
3.8 Concluding Remarks  
3.9 Historical Perspective and References Case Study with Exercises by Wen-mei W. Hwu and John W. Sias  
Chapter4  Multiprocessors and Thread-Level Parallelism  
4.1 Introduction  
4.2 Symmetri Shared-Memory Architectures  
4.3 Performan eofSymmetri Shared-MemoryMultipro essors  
4.4 Distributed Shared Memory and Dire tory-Based Coherence  
4.5 Syn hronization:The Basi s  
4.6 Models of Memory Consistency: An Introduction  
4.7 Crossc utting Issues  
4.8 Putting It All Together:The Sun T1 Multipro essor  
4.9 Fallacies and Pitfalls  
4.10 Concluding Remarks  
4.11 Historical Perspective and ReferencesCase Studies with Exercises by David A. Wood  
Chapter 5  Memory Hierar hy Design  
5.1 Introduction  
5.2 Eleven Advan ed Optimizations of Cache Performance  
5.3 MemoryTechnology and Optimizations  
5.4 Protection:Virtual Memory and Virtual Machines  
5.5 Crosscutting Issues: The Design of Memory Hierarchies..  
5.6 Putting It AlITogether:AMD Opteron Memory Hierarchy  
5.7 Fallacies and Pitfalls  
5.8 Con luding Remarks  
5.9 Historical Perspective and References Case Studies with Exercises by Norman RJouppi  
Chapter6  Storage Systems  
6.1 Introduction  
6.2 Advanced Topicscin Disk Storage  
6.3 Definition and Examples of Real Faults and Failures  
6.4 I/0 Performance, Reliability Measures, and Benchmarks  
6.5 AcLittle Queuing Theory  
6.6 Crosscutting Issues  
6.7 Designing and Evaluating an I/0 System--The Internet Archive Cluster  
6.8 Putting It All Together: NetApp FAS6000 Filer  
6.9 Fallacies and Pitfalls  
6.10 Concluding Remarks  
6.11 Historical Perspective and References Case Studies with Exercises by Andrea C. Arpaci-Dusseau and Remzi H. Arpaci-Dusseau  
Appendix A  Pipelining: Basic and Intermediate Concepts  
A.1 Introduction  
A.2 The Major Hurdle of Pipelining--Pipeline Hazards  
A.3 How Is Pipelining Implemented?  
A.4 What Makes Pipelining Hard to Implement?  
A.5 Extending the MIPS Pipeline to Handle Multicy lecOperations  
A.6 Putting It AIITogether:The MIPS R4000 Pipeline  
A.7 Crosscutting Issues  
A.8 Fallacies and Pitfalls  
A.9 Concluding Remarks  
A.10 Historical Perspective and References  
Appendix B  Instruction Set Prindples and Examples  
B.1 Introduction  
B.2 Classifying Instruction Set Architectures  
B.3 Memory Addressing  
B.4 Type and Size of Operands  
B.5 Operations in the Instruction Set  
B.6 Instructions for Control Flow  
B.7 Encoding an Instruction Set  
B.8 Crosscutting Issues:The Role of Compilers  
B.9 Putting It All Together:The MIPS Architecture  
B.10 Fallacies and Pitfalls  
B.11 Concluding Remarks  
B.12 Historical Perspective and References  
Appendix C  Review of Memory Hierarchy  
C.1 Introduction  
C.2 Cache Performance  
C.3 SixcBasi Cache Optimizations  
C.4 Virtual Memory  
C.5 Protection and Examples of Virtual Memory  
C.6 Fallacies and Pitfalls  
C.7 Concluding Remarks  
C.8 Historical Perspective and References  
Companion CD Appendices  
Appendix D  Embedded Systems  
Updated by Thomas M. Conte  
Appendix E  Interconnection Networks  
Revised by Timothy M Pinkston and Jose Duato  
Appendix F  Vector Processors  
Revised by Krste Asanovi  
Appendix G  Hardware and Software for VL!W and EPIC  
Appendix H  Large-Scale Multiprocessors and Scientifi Applications  
Appendix I  Computer Arithmeti  
by David Goldberg  
Appendix J  Survey of Instruction Set Architectures  
Appendix K  Historical Perspectives and References  
Online Appendix (textbooks.celsevier, om/O 123 704901)  
Appendix L  Solutions to Case Study Exercises  
Referen es  
Index

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