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Advanced Computer Architecture: Parallelism, Scalability, Programmability

by Kai Hwang

Publisher: McGraw-Hill Companies, The

Pub. Date: December 1992

ISBN-13: 9780070316225

Sales Rank: 457,547

771pp

Series: Computer Science Computer Organization Series

Edition Number: 1

Table of Content :

Foreword

Preface

Pt. I Theory of Parallelism 1

Ch. 1 Parallel Computer Models 3

1.1 The State of Computing 3

1.2 Multiprocessors and Multicomputers 19

1.3 Multivector and SIMD Computers 27

1.4 PRAM and VLSI Models 32

1.5 Architectural Development Tracks 41

Ch. 2 Program and Network Properties 51

2.1 Conditions of Parallelism 51

2.2 Program Partitioning and Scheduling 61

2.3 Program Flow Mechanisms 70

2.4 System Interconnect Architectures 76

Ch. 3 Principles of Scalable Performance 105

3.1 Performance Metrics and Measures 105

3.2 Parallel Processing Applications 118

3.3 Speedup Performance Laws 129

3.4 Scalability Analysis and Approaches 138

Pt. II Hardware Technologies 155

Ch. 4 Processors and Memory Hierarchy 157

4.1 Advanced Processor Technology 157

4.2 Superscalar and Vector Processors 177

4.3 Memory Hierarchy Technology 188

4.4 Virtual Memory Technology 196

Ch. 5 Bus, Cache, and Shared Memory 213

5.1 Backplane Bus Systems 213

5.2 Cache Memory Organizations 224

5.3 Shared-Memory Organizations 238

5.4 Sequential and Weak Consistency Models 248

Ch. 6 Pipelining and Superscalar Techniques 265

6.1 Linear Pipeline Processors 265

6.2 Nonlinear Pipeline Processors 270

6.3 Instruction Pipeline Design 280

6.4 Arithmetic Pipeline Design 297

6.5 Superscalar and Superpipeline Design 308

Pt. III Parallel and Scalable Architectures 329

Ch. 7 Multiprocessors and Multicomputers 331

7.1 Multiprocessor System Interconnects 331

7.2 Cache Coherence and Synchronization Mechanisms 348

7.3 Three Generations of Multicomputers 368

7.4 Message-Passing Mechanisms 375

Ch. 8 Multivector and SIMD Computers 403

8.1 Vector Processing Principles 403

8.2 Multivector Multiprocessors 415

8.3 Compound Vector Processing 435

8.4 SIMD Computer Organizations 447

8.5 The Connection Machine CM-5 457

Ch. 9 Scalable, Multithreaded, and Dataflow Architectures 475

9.1 Latency-Hiding Techniques 475

9.2 Principles of Multithreading 490

9.3 Fine-Grain Multicomputers 504

9.4 Scalable and Multithreaded Architectures 516

9.5 Dataflow and Hybrid Architectures 531

Pt. IV Software for Parallel Programming 545

Ch. 10 Parallel Models, Languages, and Compilers 547

10.1 Parallel Programming Models 547

10.2 Parallel Languages and Compilers 560

10.3 Dependence Analysis of Data Arrays 567

10.4 Code Optimization and Scheduling 578

10.5 Loop Parallelization and Pipelining 599

Ch. 11 Parallel Program Development and Environments 617

11.1 Parallel Programming Environments 617

11.2 Synchronization and Multiprocessing Modes 625

11.3 Shared-Variable Program Structures 634

11.4 Message-Passing Program Development 644

11.5 Mapping Programs onto Multicomputers 648

Ch. 12 UNIX, Mach, and OSF/1 for Parallel Computers 667

12.1 Multiprocessor UNIX Design Goals 667

12.2 Master-Slave and Multithreaded UNIX 672

12.3 Multicomputer UNIX Extensions 683

12.4 Mach/OS Kernel Architecture 686

12.5 OSF/1 Architecture and Applications 701

Bibliography 717

Index 739

Answers to Selected Problems 765

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