可扩展并行计算：技术、结构与编程

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作　者：	黄铠/等
出版社：	机械工业出版社
丛编项：	计算机科学丛书
标　签：	并行计算

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ISBN：	9787111071761	出版时间：	1999-05-01	包装：	平装
开本：	16开	页数：	802	字数：

内容简介

暂缺《可扩展并行计算：技术、结构与编程》简介

作者简介

　　About the Authors Kai Hwang presently holds a Chair Professor of Computer Engineering at the Universityof Hong Kong （HKU）， while taking a research leave from the University of Southem Califomia （USC）. He has been engaged in higher education and computer research for 26 years， after eaming the Ph.D. in Electrical Engineering and Computer Science from the University ofCalifornia at Berkeley. His work on this book started at the USC and was mostly completed at the HKU. An lEEE Feilow，he has published extensively in the areas ofcomputer architecture， digital arithmetic， parallel processing， and distributed computing. He is the founding Editor-in-Chiefof the Jownal ofParallelandDistributed Computing. He has chaired the intemational confeaeoces： lCPP86， ARITH-7， IPP96， ICAPP 96， and HPCA-4 in 1998. He has received several achicvement awards for butstanding research and academic con- tributions to the field of parallel computing. He has lectured worldwide and perrtormed consulting and advisory work for US Nationai Academy of SciencesMIT Lincoln Laboratory， IBM Fishkill， TriTech in Singapore， Pujitsu and ETL in Japan， GMD in Germany， CERN Schoolof Computing， and Academia Sinica in Chiria. Presently， he leads a research group at HKU in developing aan ATM-based multicomputer cluster for high-performance computing and distributed multimedia， Intranet， ahd Intemet appliCations. Zhiwei Xu is a Professor and ChiefArchitect at the National Center for Intelligent Computing Systems （NClC）， Chinese Academy ofSciences， Beijing， China. He is also a Honorary Research Fellow ofHKU. He received a Ph.D. in Computer Engineering from the University of Southem Califomia. He participated in the STAP/MPP benchmark projects led by Dr. Hwang at USC and HKU during the past 5 years.He has taught at the Rutgers University and New Yotk Polytechnfc University. He has published in theareas of parallet languages， pipelined vector processmg， and benchmard evaluation ofmassively parallel processors. Presently， he leads a design group at NClC in building a series of cluster-based superservers in China. His current research interest lies mainly in network-based cluster computing and the software environments for parallel programming.

图书目录

Table of  Contents
About the Authors IV
Foreword XV
Preface xvi
Guide to Instructors/Readers xix
Part I Scalability and Clustering 1
Chapter 1 Scalable Computer Platforms and Models 3
1.1 Evolution of Computer Architecture 5
1. 1. 1 Computer Generations 5
1. 1.2 Scalable Computer Architectures 6
1. 1.3 Converging System Architectures 8
1.2 Dimensions of Scalability 9
1.2.1 Resource Scalability 9
1.2.2 Application Scalability 11
1.2.3 Technology Scalability 12
1.3 Parallel Computer Models 13
1.3.1 Semantic Attributes 14
1.3.2 Performance Attributes 17
1.3.3 Abstract Machine Models 18
1.3.4 Physical Machine Models 26
1.4 Basic Concepts of Clustering 30
1.4.1 Cluster Characteristics 30
1.4.2 Architectural Comparisons 31
1.4.3 Benefits and Difficulties of Clusters 32
1.5 Scalable Design Principles 37
1.5.1 Principle of Independence 37
1.5.2 Principle of Balanced Design 39
1.5.3 Design for Scalability 44
1.6 Bibliographic Notes and Problems 47
Chapter 2 Basics of Parallel Programming 51
2.1 Parallel Programming Overview 51
2. 1.1 Why Is Parallel Programming Difficult  52
2.1.2 Parallel Programming Environments 55
2.1.3 Parallel Programming Approaches 56
2.2 Processes, Tasks, and Threads 59
2.2.1 Definitions of an Abstract Process 59
2.2.2 Execution Mode 62
2.2.3 Address Space 63
2.2.4 Process Context 65
2.2.5 Process Descriptor 66
2.2.6 Process Control 67
2.2.7 Variations of Process 70
2.3 Parallelism Issues 71
2.3.1 Homogeneity in Processes 72
2.3.2 Static versus Dynamic Parallelism 74
2.3.3 Process Grouping 75
2.3.4 Allocation Issues 76
2.4 Interaction/Communication Issues 77
2.4.1 Interaction Operations 77
2.4.2 Interaction Modes 80
2.4.3 Interaction Patterns 82
2.4.4 Cooperative versus Competitive Interactions 84
2.5 Semantic Issues in Parallel Programs 85
2.5.1 Program Termination 85
2.5.2 Determinacy of Programs 86
2.6 Bibliographic Notes and Problems 87
Chapter 3 Performance Metrics and Benchmarks 91
3.1 System and Application Benchmarks 91
3. 1.1 Micro Benchmarks 92
3.1.2 Parallel Computing Benchmarks 96
3.1.3 Business and TPC Benchmarks 98
3.1.4 SPEC Benchmark Family 100
3.2 Performance versus Cost 102
3.2.1 Execution Time and Throughput 103
3.2.2 Utilization and Cost-Effectiveness 104
3.3 Basic Performance Metrics 108
3.3.1 Workload and Speed Metrics 108
3.3.2 Caveats in Sequential Performance 111
3.4 Performance of Parallel Computers 113
3.4.1 Computaiional Characteristics 113
3.4.2 Parallelism and Interaction Overheads 115
3.4.3 Overhead Quantification 118
3.5 Performance of Parallel Programs 126
3.5.1 Performance Metrics 126
3.5.2 Available Parallelism in Benchmarks 131
3.6 Scalability and Speedup Analysis 134
3.6.1 Amdahl’s Law: Fixed Problem Size 134
3.6.2 Gustafson’s Law: Fixed Time 136
3.6.3 Sun and Ni’s Law: Memory Bounding 139
3.6.4 Isoperformance Models 144
3.7 Bibliographic Notes and Problems 148
Part Ⅱ Enabling Technologies 153
Chapter 4 Microprocessors as Building Blocks 155
4.1 System Development Trends 155
4. 1.1 Advances in Hardware 156
4.1.2 Advances in Software 159
4.1.3 Advances in Applications 160
4.2 Principles of Processor Design 164
4.2.1 Basics of Instruction Pipeline 164
4.2.2 From CISC to RISC and Beyond 169
4.2.3 Architectural Enhancement Approaches 172
4.3 Microprocessor Architecture Families 174
4.3.1 Major Architecture Families 174
4.3.2 Superscalar versus Superpipelined Processors 175
4.3.3 Embedded Microprocessors 180
4.4 Case Studies of Microprocessors 182
4.4.1 Digital’s Alpha 21164 Microprocessor 182
4.4.2 Intel Pentium Pro Processor 186
4.5 Post-RISC, Multimedia, and VLIW 191
4.5.1 Post-RISC Processor Features 191
4.5.2 Multimedia Extensions 195
4.5.3 The VLIW Architecture 199
4.6 The Future of Microprocessors 201
4.6.1 Hardware Trends and Physical Limits 201
4.6.2 Future Workloads and Challenges 203
4.6.3 Future Microprocessor Architectures 204
4.7 Bibliographic Notes and Problems 206
Chapter 5 Distributed Memory and Latency Tolerance 211
5.1 Hierarchical Memory Technology 211
5. 1.1 Characteristics of Storage Devices 211
5.1.2 Memory Hierarchy Properties 214
5.1.3 Memory Capacity Planning 217
5.2 Cache Coherence Protocols 220
5.2.1 Cache Coherency Problem 220
5.2.2 Snoopy Coherency Protocols 222
5.2.3 The MESI Snoopy Protocol 224
5.3 Shared-Memory Consistency 228
5.3.1 Memory Event Ordering 228
5.3.2 Memory Consistency Models 231
5.3.3 Relaxed Memory Models 234
5.4 Distributed Cache/Memory Architecture 237
5.4.1 NORMA, NUMA, COMA, and DSM Models 237
5.4.2 Directory-Based Coherency Protocol 243
5.4.3 The Stanford Dash Multiprocessor 245
5.4.4 Directory-Based Protocol in Dash 248
5.5 Latency Tolerance Techniques 250
5.5.1 Latency Avoidance, Reduction, and Hiding 250
5.5.2 Distributed Coherent Caches 253
5.5.3 Data Prefetching Strategies 255
5.5.4 Effects of Relaxed Memory Consistency 257
5.6 Multithreaded Latency Hiding 257
5.6.1 Multithreaded Processor Model 258
5.6.2 Context-Switching Policies 260
5.6.3 Combining Latency Hiding Mechanisms 265
5.7 Bibliographic Notes and Problems 266
Chapter 6 System Interconnects and Gigabit Networks 273
6.1 Basics of Interconnection Network 273
6. 1. 1 Interconnection Environments 273
6.1.2 Network Components 276
6.1.3 Network Characteristics 277
6.1.4 Network Performance Metrics 280
6.2 Network Topologies and Properties 281
6.2.1 Topological and Functional Properties 281
6.2.2 Routing Schemes and Functions 283
6.2.3 Networking Topologies 286
6.3 Buses, Crossbar, and Multistage Switches 294
6.3.1 Multiprocessor Buses 294
6.3.2 Crossbar Switches 298
6.3.3 Multistage Interconnection Networks 301
6.3.4 Comparison of Switched Interconnects 305
6.4 Gigabit Network Technologies 307
6.4.1 Fiber Channel and FDDI Rings 307
6.4.2 Fast Ethernet and Gigabit Ethernet 310
6.4.3 Myrinet for SAN/LAN Construction 313
6.4.4 HiPPI and SuperHiPPI 314
6.5 ATM Switches and Networks 318
6.5.1 ATM Technology 318
6.5.2 ATM Network Interfaces 320
6.5.3 Four Layers of ATM Architecture 321
6.5.4 ATM Internetwork Connectivity 324
6.6 Scalable Coherence Interface 326
6.6.1 SCI Interconnects 327
6.6.2 Implementation Issues 329
6.6.3 SCI Coherence Protocol 332
6.7 Comparison of Network Technologies 334
6.7.1 Standard Networks and Perspectives 334
6.7.2 Network Performance and Applications 335
6.8 Bibliographic Notes and Problems 337
Chapter 7 Threading, Synchronization, and Communication 343
7.1 Software Multithreading 343
7. 1.1 The Thread Concept 344
7.1.2 Threads Management 346
7.1.3 Thread Synchronization 348
7.2 Synchronization Mechanisms 349
7.2.1 Atomicity versus Mutual Exclusion 349
7.2.2 High-Level Synchronization Constructs 355
7.2.3 Low-Level Synchronization Primitives 360
7.2.4 Fast Locking Mechanisms 364
73 The TCP/IP Communication Protocol Suite 366
7.3.1 Features of The TCP/IP Suite 367
7.3.2 UDP, TCP, and IP 371
7.3.3 The Sockets Interface 375
7.4 Fast and Efficient Communication 376
7.4.1 Key Problems in Communication 377
7.4.2 The Log P Communication Model 384
7.4.3 Low-Level Communications Support 386
7.4.4 Communication Algorithms 396
7.5 Bibliographic Notes and Problems 398
Part III Systems Architecture 403
Chapter 8 Symmetric and CC-NUMA Multiprocessors 407
8.1 SMP and CC-NUMA Technology 407
8. 1.1 Multiprocessor Architecture 407
8.1.2 Commercial SMP Servers 412
8.1.3 The Intel SHV Server Board 413
8.2 Sun Ultra Enterprise 10000 System 416
8.2.1 The Ultra E-10000 Architecture 416
8.2.2 System Board Architecture 418
8.2.3 Scalability and Availability Support 418
8.2.4 Dynamic Domains and Performance 420
8.3 HP/Convex Exemplar X-Class 421
8.3.1 The Exemplar X System Architecture 421
8.3.2 Exemplar Software Environment 424
8.4 The Sequent NUMA-Q 2000 425
8.4.1 The NUMA-Q 2000 Architecture 426
8.4.2 Software Environment of NUMA-Q 430
8.4.3 Performance of the NUMA-Q 431
8.5 The SGI/Cray Origin 2000 Superserver 434
8.5.1 Design Goals of Origin 2000 Series 434
8.5.2 The Origin 2000 Architecture 435
8.5.3 The Cellular IRIX Environment 443
8.5.4 Performance of the Origin 2000 447
8.6 Comparison of CC-NUMA Architectures 447
8.7 Bibliographic Notes and Problems 451
Chapter 9 Support of Clustering and Availability 453
9.1 Challenges in Clustering 453
9. 1. 1 Classification of Clusters 453
9.1.2 Cluster Architectures 456
9.1.3 Cluster Design Issues 457
9.2 Availability Support for Clustering 459
9.2.1 The Availability Concept 460
9.2.2 Availability Techniques 463
9.2.3 Checkpointing and Failure Recovery 468
9.3 Support for Single System Image 473
9.3.1 Single System Image Layers 473
9.3.2 Single Entry and Single File Hierarchy 475
9.3.3 Single I/O, Networking, and Memory Space 479
9.4 Single System Image in Solaris MC 482
9.4.1 Global File System 482
9.4.2 Global Process Management 484
9.4.3 Single I/O System Image 485
9.5 Job Management in Clusters 486
9.5.1 Job Management System 486
9.5.2 Survey of Job Management Systems 492
9.5.3 Load-Sharing Facility (LSF) 494
9.6 Bibliographic Notes and Problems 501
Chapter 10 Clusters of Servers and Workstations 505
10.1 Cluster Products and Research Projects 505
10.1.1 Supporting Trend of Cluster Products 506
10. 1.2 Cluster of SMP Servers 508
10. 1.3 Cluster Research Projects 509
10.2 Microsoft Wolfpack for NT Clusters 511
10.2.1 Microsoft Wolfpack Configurations 512
10.2.2 Hot Standby Multiserver Clusters 513
10.2.3 Active Availability Clusters 514
10.2.4 Fault-Tolerant Multiserver Cluster 516
10.3 The IBM SP System 518
10.3.1 Design Goals and Strategies 518
10.3.2 The SP2 System Architecture 521
10.3.3 I/O and Internetworking. 523
10.3.4 The SP System Software 526
10.3.5 The SP2 and Beyond 530
10.4 The Digital TruCluster 531
10.4.1 The TruCluster Architecture 531
10.4.2 The Memory Channel Interconnect 534
10.4.3 Programming the TruCluster 537
10.4.4 The TruCluster System Software 540
10.5 The Berkeley NOW Project 541
10.5.1 Active Messages for Fast Communica- tion541
10.5.2 GLUnix for Global Resource Manage- ment 547
10.5.3 The xFS Serverless Network File System 549
10.6 TreadMarks: A Software-Implemented DSM Cluster 556
10.6.1 Boundary Conditions 556
10.6.2 User Interface for DSM 557
10.6.3 Implementation Issues 559
10.7 Bibliographic Notes and Problems 561
Chapter 11 MPP Architecture and Performance 565
11.1 An Overview of MPP Technology 565
11. 1. 1 MPP Characteristics and Issues 565
11. 1.2 MPP Systems - An Overview 569
11.2 The Cray T3E System 570
11.2.1 The System Architecture of T3E 571
11.2.2 The System Software in T3E 573
11.3 New Generation of ASCL/MPPs 574
11.3.1 ASCI Scalable Design Strategy 574
11.3.2 Hardware and Software Requirements 576
11.3.3 Contracted ASCUMPP Platforms 577
11.4 Intel/Sandia ASCI Option Red 579
11.4.1 The Option Red Architecture 579
11.4.2 Option Red System Software 582
11.5 Parallel NAS Benchmark Results 584
11.5.1 The NAS Parallel Benchmarks 585
11. 5.2 Superstep Structure and Granularity586
11.5.3 Memory, I/O, and Communications 587
11.6 MPI and STAP Benchmark Results 590
11.6.1 MPI Performance Measurements 590
11.6.2 MPI Latency and Aggregate Bandwidth 592
11.6.3 STAP Benchmark Evaluation of MPPs 594
11.6.4 MPP Architectural Implications 600
11.7 Bibliographic Notes and Problems 603
Part IV Parallel Programming 607
Chapter 12 Parallel Paradigms and Programming Models 609
12.1 Paradigms and Programmability 609
12. 1.1 Algorithmic Paradigms 609
12.1.2 Programmability Issues 612
12.1.3 Parallel Programming Examples 614
12.2 Parallel Programming Models 617
12.2.1 Implicit Parallelism 617
12.2.2 Explicit Parallel Models 621
12.2.3 Comparison of Four Models 624
12.2.4 Other Parallel Programming Models 627
12.3 Shared-Memory Programming 629
12.3.1 The ANSI X3H5 Shared-Memory Model 629
12.3.2 The POSIX Threads (Pthreads) Model 634
12.3.3 The OpenMP Standard 636
12.3.4 The SGI Power C Model 640
12.3.5 C//: A Structured Parallel C Language 643
12.4 Bibliographic Notes and Problems 649
Chapter 13 Message-Passing Programming 653
13.1 The Message-Passing Paradigm 653
13.1.1 Message-Passing Libraries 653
13.1.2 Message-Passing Modes 655
13.2 Message-Passing Interface (MPI) 658
13.2.1 MPI Messages 661
13.2.2 Message Envelope in MPI 668
13.2.3 Point-to-Point Communications 674
13.2.4 Collective MPI Communications 678
13.2.5 The MPI-2 Extensions 682
13.3 Parallel Virtual Machine (PVM) 686
13.3.1 Virtual Machine Construction 687
13.3.2 Process Management in PVM 689
13.3.3 Communication with PVM 693
13.4 Bibliographic Notes and Problems 699
Chapter 14 Data-Parallel Programming 705
14.1 The Data-Parallel Model 705
14.2 The Fortran 90 Approach 706
14.2.1 Parallel Array Operations 706
14.2.2 Intrinsic Functions in Fortran 90 708
14.3 High-Performance Fortran 711
14.3.1 Support for Data Parallelism 712
14.3.2 Data Mapping in HPF 715
14.3.3 Summary of Fortran 90 and HPF 721
14.4 Other Data-Parallel Approaches 725
14.4.1 Fortran 95 and Fortran 2001 725
14.4.2 The pC++ and Nesl Approaches 728
14.5 Bibliographic Notes and Problems 733
Bibliography 737
Web Resources List 765
Subject Index 787
Author Index 799