[request_ebook] Advanced Computer Architecture: Parallelism, Scalability, Programmability

Description

• Author: Kai Hwang
• Publisher: McGraw-Hill Companies
• ISBN: 9780070316225

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