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Practical Parallel Computing
1st Edition - September 28, 1994
Author: H. Stephen Morse
Language: English
eBook ISBN:9781483214191
9 7 8 - 1 - 4 8 3 2 - 1 4 1 9 - 1
Practical Parallel Computing provides information pertinent to the fundamental aspects of high-performance parallel processing. This book discusses the development of parallel…Read more
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Practical Parallel Computing provides information pertinent to the fundamental aspects of high-performance parallel processing. This book discusses the development of parallel applications on a variety of equipment. Organized into three parts encompassing 12 chapters, this book begins with an overview of the technology trends that converge to favor massively parallel hardware over traditional mainframes and vector machines. This text then gives a tutorial introduction to parallel hardware architectures. Other chapters provide worked-out examples of programs using several parallel languages. This book deals as well with benchmarking and performance estimation on parallel machines. The final chapter provides a structured, flexible methodology for selecting a parallel machine and for integrating it into operations. This book is a valuable resource for readers who are confronted with the practical realities of parallel computing for the first time. Mid-level technical managers, algorithm designers, computer scientists, and doctorate-level mathematicians will also find this book extremely useful.
PrefaceAcknowledgmentsPart 1 Preliminaries 1 The Status and Future of Massively Parallel Processing 1.1 Technology Trends Favoring Parallel Architectures 1.2 Obstacles Inhibiting Commercial Success 1.3 Trends and Considerations Summary of Chapter 1 2 Can Parallel Machines Be Used Efficiently? 2.1 A Parallel Parable: Building a Wall 2.2 Amdahl's Law 2.3 Examples Summary of Chapter 2 3 An Introduction to Hardware Architectures 3.1 Impacts of Hardware Architecture 3.2 A Primer on Interconnection Networks 3.3 SIMD Machines 3.4 Distributed Memory MIMD Machines 3.5 Shared Memory MIMD Machines Summary of Chapter 3Part 2 Software Issues 4 Shared Memory Parallel Language Constructs 4.1 Basic Concepts for Shared Memory Parallel Programming 4.2 The Sample Problem on an SGI Challenge SMP 4.3 Observations and Considerations Summary of Chapter 4 5 Message Passing 5.1 An Overview of the Message-Passing Library 5.2 The Sample Problem on an nCube 2 5.3 Express 5.4 Intel Paragon 5.5 Observations and Considerations Summary of Chapter 5 6 SIMD and Array-Based Languages 6.1 An Overview 6.2 MPL on the MasPar MP-1 6.3 C* on the Connection Machine Summary of Chapter 6 7 Linda 7.1 A Linda Primer 7.2 The Sample Problem in Linda 7.3 Observations and Considerations Summary of Chapter 7 8 The Development Environment for Parallel Software 8.1 Compilers 8.2 Debugging Parallel Code 8.3 Profilers and Load Balancing 8.4 Other Tools Summary of Chapter 8 9 Operating System Issues 9.1 Multiple Users 9.2 Virtual Address Spaces 9.3 Scheduling 9.4 Virtual Processors 9.5 I/O 9.6 Open Systems Summary of Chapter 9Part 3 Management Issues 10 Benchmarking Parallel Applications 10.1 Dependence on Problem Size and Machine Size 10.2 Publicly Available Parallel Benchmarks 10.3 Scaling Sequential Performance to Parallel Performance 10.4 Estimating Performance 10.5 Questions to Ask Vendors Summary of Chapter 10 11 Porting and Developing Parallel Applications 11.1 Porting Strategies 11.2 Developing Parallel Applications 11.3 Examples Summary of Chapter 11 12 Matching Applications to Architectures 12.1 A Methodology 12.2 Integrating a Parallel Machine into Existing Operations Summary of Chapter 12Appendix A The Sample Problem Listing for Sample ProblemAppendix B SGI ChallengeAppendix C nCubeAppendix D ExpressAppendix E Intel ParagonAppendix F MasParMP-1Appendix G C* on the Connection MachineAppendix H LindaAppendix I Two Recent Machines 1.1 The SP-Series from IBM Node Architecture Interprocessor Communications I/O Software 1.2 Exemplar Series from Convex Corp. System Architecture System Software 1.3 Summary and ComparisonReferencesIndex