"Once in a great while, a landmark computer-science book is published. Computer Architecture: A Quantitative Approach, Second Edition, is such a book. In an era of fluff computer books that are, quite properly, remaindered within weeks of publication, this book will stand the test of time, becoming lovingly dog-eared in the hands of anyone who designs computers or has concerns about the performance of computer programs." - Robert Bernecky, Dr. Dobb's Journal, April 1998 Computer Architecture: A Quantitative Approach was the first book to focus on computer architecture as a modern science. Its publication in 1990 inspired a new approach to studying and understanding computer design. Now, the second edition explores the next generation of architectures and design techniques with view to the future. A basis for modern computer architecture As the authors explain in their preface to the Second Edition, computer architecture itself has undergone significant change since 1990. Concentrating on currently predominant and emerging commercial systems, the Hennessy and Patterson have prepared entirely new chapters covering additional advanced topics: Advanced Pipelining: A new chapter emphasizes superscalar and multiple issues. Networks: A new chapter examines in depth the design issues for small and large shared-memory multiprocessors. Storage Systems: Expanded presentation includes coverage of I/O performance measures. Memory: Expanded coverage of caches and memory-hierarchy design addresses contemporary design issues. Examples and Exercises: Completely revised on current architectures such as MIPS R4000, Intel 80x86 and Pentium, PowerPC, and HP PA-RISC. Distinctive presentation This book continues the style of the first edition, with revised sections on Fallacies and Pitfalls, Putting It All Together and Historical Perspective, and contains entirely new sections on Crosscutting Issues. The focus on fundamental techniques for designing real machines and the attention to maximizing cost/performance are crucial to both students and working professionals. Anyone involved in building computers, from palmtops to supercomputers, will profit from the expertise offered by Hennessy and Patterson.

Table of Contents:
Foreword Preface Acknowledgments 1 Fundamentals of Computer Design 1.1 Introduction 1.2 The Task of a Computer Designer 1.3 Technology and Computer Usage Trends 1.4 Cost and Trends in Cost 1.5 Measuring and Reporting Performance 1.6 Quantitative Principles of Computer Design 1.7 Putting It All Together: The Concept of Memory Hierarchy 1.8 Fallacies and Pitfalls 1.9 Concluding Remarks 1.10 Historical Perspective and References Exercises 2 Instruction Set Principles and Examples 2.1 Introduction 2.2 Classifying Instruction Set Architectures 2.3 Memory Addressing 2.4 Operations in the Instruction Set 2.5 Type and Size of Operands 2.6 Encoding and Instruction Set 2.7 Crosscutting Issues: The Role of Compilers 2.8 Putting It All together: The DLX Architecture 2.9 Fallacies and Pitfalls 2.10 Concluding Remarks Historical Perspective and References Exercises 3 Pipelining 3.1 What is Pipelining? 3.2 The Basic Pipeline for DLX 3.3 The Major Hurdle of Pipelining-Pipeline Hazards 3.4 Data Hazards 3.5 Control Hazards 3.6 What Makes Pipelining Hard to Implement? 3.7 Extending the DLX Pipeline to Handle Multicycle Operations 3.8 Crosscutting Issues: Instruction Set Design and Pipelining 3.9 Putting It All Together: The MIPS R4000 Pipeline 3.10 Fallacies and Pitfalls 3.11 Concluding Remarks 3.12 Historical Perspective and References Exercises 4 Advanced Pipelining and Instruction-Level Parallelism 4.1 Instruction-Level Parallelism: Concepts and Challenges 4.2 Overcoming Data Hazards with Dynamic Scheduling 4.3 Reducing Branch Penalties with Dynamic Hardware Prediction 4.4 Taking Advantage of More ILP with Multiple Issue 4.5 Compiler Support for Exploiting ILP 4.6 Hardware Support for Extracting More Parallelism 4.7 Studies of ILP 4.8 Putting It All Together: The PowerPC 620 4.9 Fallacies and Pitfalls 4.10 Concluding Remarks 4. 11 Historical Perspective and References Exercises 5 Memory-Hierarchy Design 5.1 Introduction 5.2 The ABCs of Caches 5.3 Reducing Cache Misses 5.4 Reducing Cache Miss Penalty 5.5 Reducing Hit Time 5.6 Main Memory 5.7 Virtual Memory 5.8 Protection and Examples of Virtual Memory 5.9 Crosscutting Issues in the Design of Memory Hierarchies 5.10 Putting It All Together: The PowerPC 620 5.11 Fallacies and Pitfalls 5.12 Concluding Remarks 5.13 Historical Perspective and References Exercises 6 Storage Systems 6.1 Introduction 6.2 Types of Storage Devices 6.3 Buses-Connecting I/O Devices to CPU/Memory 6.4 I/O Performance Measures 6.5 Reliability, Availability, and RAID 6.6 Crosscutting Issues: Interfacing to an Operating System 6.7 Designing an I/O System 6.8 Putting It All Together: UNIX File System Performance 6.9 Fallacies and Pitfalls 6.10 Concluding Remarks 6.11 Historical Perspective and References Exercises 7 Interconnectoin Networks 7.1 Introduction 7.2 A Simple Network 7.3 Connecting the Interconnection Network to the Computer 7.4 Interconnection network Media 7.5 Connecting More Than Two Computers 7.6 Practical Issues for Commercial Interconnection Networks 7.7 Examples of Interconnection Networks 7.9 Internetworking 7.10 Putting it All Together: An ATM Network of Workstations 7.11 Fallacies and Pitfalls 7.12 Concluding Remarks 7.13 Historical Perspective and References Exercises 8 Multiprocessors 8.1 Introduction 8.2 Characteristics of Application Domains 8.3 Centralized Shared-Memory Architectures 8.4 Distributed Shared-Memory Architectures 8.5 Synchronization 8.6 Models of Memory Consistency 8.7 Crosscutting Issues 8.8 Putting It All Together: The SGI Challenge Multiprocessor 8.9 Fallacies and Pitfalls 8.10 Concluding Remarks 8.11 Historical Perspective and References Exercises Appendix A: Computer Arithmetic by David Goldberg Xerox Palo Alto Research Center A.1 Introduction A.2 Basic Techniques of Integer Arithmetic A.3 Floating Point A.4 Floating-Point Multiplication A.5 Floating Point-Addition A.6 Division and Remainder A.7 More on Floating-Point Arithmetic A.8 Speeding Up integer Addition A.9 Speeding Up integer Multiplication and Division A.10 Putting It All together A.11 Fallacies and Pitfalls A.12 Historical Perspective and References Exercises Appendix B: Vector Processors B.1 Why Vector Processors? B.2 Basic Vector Architecture B.3 Two Real-World Issues: Vector Length and Stride B.4 Effectiveness of Compiler Vectorization B.5 Enhancing Vector Performance B.6 Putting It All Together: Performance of Vector Processors B.7 Fallacies and Pitfalls B.8 Concluding Remarks B.9 Historical Perspective and References Exercises Appendix C: Survey of RISC Architectures C.1 Introduction C.2 Addressing Modes and Instruction Formats C.3 Instructions: The DLX Subset C.4 Instructions: Common Extensions to DLX C.5 Instructions Unique to MIPS C.6 Instructions Unique to SPARC C.7 Instructions Unique to PowerPC C.8 Instructions Unique to PA-RISC C.9 Concluding Remarks C.10 References Appendix D: An Alternative to RISC: the Intel 80x86 D.1 Introduction D.2 80x86 Registers and Data Addressing Modes D.3 80x86 Integer Operations D.4 80x86 Floating-Point Operations D.5 80x86 Instruction Encoding D.6 Putting It All together: Measurements of Instruction Set Usage D.7 Concluding Remarks D.8 Historical Perspective and References Appendix E: Implementing Coherence Protocols E.1 Implementation Issues for the Snooping Coherence Protocol E.2 Implementation Issues in the Distributed Directory Protocol References Index