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帕特森·亨尼斯所著的《计算机组成与设计(硬件软件接口MIPS版英文版第5版亚洲版)》这本很畅销的计算机组成与设计的经典教材经过全面修订，关注后PCB寸代发生在计算机体系结构领域的革命性变革(从单处理器发展到多核微处理器。从串行发展到并行)，并强调了新出现的移动计算和云计算。为了研讨和强调这种重大的变化，《计算机组成与设计(硬件软件接口MIPS版英文版第5版亚洲版)》更新了许多内容，重点介绍平板电脑、云体系结构以及ARM(移动计算设备)和x86(云计算)体系结构。

因为正确理解现代硬件对于实现好的性能和能效至关重要，所以本版在全书中增加了一个新的实例“Going Faster”，以演示很好有效的优化技术。本版还新增了一个关于计算机体系结构“八大理念”的讨论。

与前几版一样，本书采用MIPS处理器来展示计算机硬件技术、汇编语言、计算机算术、流水线、存储器层次结构以及I／O等基本功能。

Preface v

About the Author xiii

CHAPTERS

1 Computer Abstracti*** and Technology 2

1.1 Introduction 3

1.2 Eight Great Ideas in Computer Architecture 11

1.3 Below Your Program 13

1.4 Under the Covers 16

1.5 Technologies for Building Processors and Memory 24

1.6 Performance 28

1.7 The Power Wall 40

1.8 The Sea Change: The Switch from Uniprocessors to Multiprocessors 43

1.9 Real Stuff: Benchmarking the Intel Core i7 46

1.10 Fallacies and Pitfalls 49

1.11 Concluding Remarks 52

1.12 Historical Perspective and Further Reading 54

1.13 Exercises 54

2 Instructi***: Language of the Computer 60

2.1 Introduction 62

2.2 Operati*** of the Computer Hardware 63

2.3 Operands of the Computer Hardware 66

2.4 Signed and Unsigned Numbers 73

2.5 Representing Instructi*** in the Computer 80

2.6 Logical Operati*** 87

2.7 Instructi*** for Making Decisi*** 90

2.8 Supporting Procedures in Computer Hardware 96

2.9 MIPS Addressing for 32-Bit Immediates and Addresses 106

2.10 Parallelism and Instructi***: Synchronization 116

2.11 Translating and Starting a Program 118

2.12 A C Sort Example to Put It All Together 126

2.13 Advanced Material: Compiling C 134

2.14 Real Stuff: ARMy7 (32-bit) Instructi*** 134

2.15 Real Stuff: x86 Instructi*** 138

2.16 Real Stuff: ARMv8 (64-bit) Instructi*** 147

2.17 Fallacies and Pitfalls 148

2.18 Concluding Remarks 150

2.19 Historical Perspective and Further Reading 152

2.20 Exercises 153

3 Arithmetic for Computers 164

3.1 Introduction 166

3.2 Addition and Subtraction 166

3.3 Multiplication 171

3.4 Division 177

3.5 Floating Point 184

3.6 Parallelism and Computer Arithmetic: Subword Parallelism 210

3.7 Real Stuff: Streaming SIMD Extensi*** and Advanced Vector Extensi*** in x86 212

3.8 Going Faster: Subword Parallelism and Matrix Multiply 213

3.9 Fallacies and Pitfalls 217

3.10 Concluding Remarks 220

3.11 Historical Perspective and Further Reading 224

3.12 Exercises 225

4 The Processor 230

4.1 Introduction 232

4.2 Logic Design Conventi*** 236

4.3 Building a Datapath 239

4.4 A Simple Implementation Scheme 247

4.5 An Overview ofPipelining 260

4.6 Pipelined Datapath and Control 274

4.7 Data Hazards: Forwarding versus Stalling 291

4.8 Control Hazards 304

4.9 Excepti*** 313

4.10 Parallelism via Instructi*** 320

4.11 Real Stuff: The ARM Cortex-A8 and Intel Core i7 Pipelines 332

4.12 Going Faster: Instruction-Level Parallelism and Matrix Multiply 339

4.13 Advanced Topic: An Introduction to Digital Design Using a Hardware

Design Language to Describe and Model a Pipeline and More Pipelining

Illustrati*** 342

4.14 Fallacies and Pitfalls 343

4.15 CondudingRemarks 344

4.16 Historical Perspective and Further Reading 345

4.17 Exercises 345

5 Large and Fast: Exploiting Memory Hierarchy 360

5.1 Introduction 362

5.2 Memory Technologies 366

5.3 The Basics of Caches 371

5.4 Measuring and Improving Cache Performance 386

5.5 Dependable Memory Hierarchy 406

5.6 Virtual Machines 412

5.7 Virtual Memory 415

5.8 A Common Framework for Memory Hierarchy 442

5.9 Using a Finite-State Machine to Control a Simple Cache 449

5.10 Parallelism and Memory Hierarchies: Cache Coherence 454

5.11 Parallelism and Memory Hierarchy: Redundant Arrays of Inexpensive Disks 458

5.12 Advanced Material: Implementing Cache Controllers 458

5.13 Real Stuff: The ARM Cortex-A8 and Intel Core i7 Memory Hierarchies 459

5.14 Going Faster: Cache Blocking and Matrix Multiply 463

5.15 Fallacies and Pitfalls 466

5.16 GoncludingRemarks 470

5.17 Historical Perspective and Further Reading 471

5.18 Exercises 471

6 Parallel Processors from Client to Cloud 488

6.1 Introduction 490

6.2 The Difficulty of Creating Parallel Processing Programs 492

6.3 SISD, MIMD, SIMD, SPMD, and Vector 497

*** Hardware Multithreading 504

6.5 Multicore and Other Shared Memory Multiprocessors 507

6.6 Introduction to Graphics Processing Units 512

6.7 Clusters, Warehouse Scale Computers, and Other Message-Passing Multiprocessors 519

6.8 Introduction to Multiprocessor Network Topologies 524

6.9 Communicating to the Outside World: Cluster Networking 527

6.10 Multiprocessor Benchmarks and Performance Models 528

6.11 Real Stuff: Benchmarking Intel Core i7 versus NVIDIA Tesla GPU 538

6.12 Going Faster: Multiple Processors and Matrix Multiply 543

6.13 Fallacies and Pitfalls 546

6.14 Concluding Remarks 548

6.15 Historical Perspective and Further Reading 551

6.16 Exercises 551

APPENDICES

A Assemblers, Linkers, and the SPiM Simulator A-2

A.1 Introduction A-3

A.2 Assemblers A-IO

A.3 Linkers A-18

A.4 Loading A-19

A.5 Memory Usage A-20

A.6 Procedure Call Convention A-22

A.7 Excepti*** and Interrupts A-33

A.8 Input and Output A-38

A.9 SPIM A-40

A.10 MIPS R2000 Assembly Language A-45

A.11 Concluding Remarks A-81

A.12 Exercises A-82

B TH-2 High Performance Computing System B-2

B.1 Introduction B-3

B.2 Compute Node B-3

B.3 The Frontend Processors B-5

B.4 The Interconnect B-6

B.5 The Software Stack B-7

B.6 LINPACK Benchmark Run (HPL) B-7

B.7 Concluding Remarks B-8

F Networks-on-Chip F-2

F.1 Introduction F-3

F.2 Communication Centric Design F-3

F.3 The Design Space Exploration ofNoCs F-5

F.4 Router Micro-architecture F-8

F.5 Performance Metric F-9

F.6 Concluding Remarks F-9

Index I-1

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。Hennessy教授因为在RISC技术方面做出了突出贡献而荣获2001年的Eckert-Mauchly奖章，他也是2001年Seymour Cray计算机工程奖得主，并且和David A.Patterson分享了2000年Johnvon Neumann奖。David A．Patterson加州大学伯克利分校计算机科学系教授，美国国家工程院院士，美国国家科学院院士，IEEE和ACM会士。他因为教学成果显著而荣获了加州大学的杰出教学奖、ACM的Karlstrom奖、IEEE的Mulligan教育奖章和本科生教学奖。因为对RISC技术的贡献，他获得lEEE的技术成就奖和ACM的Eckert-Mauchly奖；而在RAID方面的贡献为他赢得了IEEE Johnson信息存储奖。他还和John L. Hennessy分享了IEEE John von Neumann奖章和NEC C&C奖金。Patterson还是美国艺术与科学院院士、美国计算机历史博物馆院士，并被选入硅谷工程名人堂。Patterson身为美国总统信息技术顾问委员会委员，还曾担任加州大学伯克利分校电子工程与计算机科学系计算机科学分部主任、计算机研究协会（CRA）主席和ACM主席。这一履历使他荣获了ACM和CRA颁发的杰出服务奖。

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书籍介绍

这本最畅销的计算机组成与设计的经典教材经过全面修订，关注后PC时代发生在计算机体系结构领域的革命性变革（从单处理器发展到多核微处理器，从串行发展到并行），并强调了新出现的移动计算和云计算。为了研讨和强调这种重大的变化，本书更新了许多内容，重点介绍平板电脑、云体系结构以及ARM（移动计算设备）和x86（云计算）体系结构。