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Science/Engineering Statistical Mechanics, Third Edition
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Science/Engineering Advanced Computer Architecture: Parallelism, Scalability, Programmability
Posted on 2010-03-16
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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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