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High Performance Computing Demystified.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boston :
AP Professional,
�1994.
|
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Cover; High Performance Computing Demystified; Copyright Page; Table of Contents; List of Figures; Foreword; Preface; Part I: Introduction and History; Chapter 1. Introduction; 1.1 Introduction; 1.2 What Is High Performance?; 1.3 Who Uses High Performance Computers?; 1.4 Analysis Metrics; 1.5 Structure; Chapter 2. History; 2.1 The History of High Performance; 2.2 Classes of High Performance Machines; 2.3 Vector Processing; 2.4 Multiprocessor Supercomputers; 2.5 Advances in Microprocessor Design; 2.6 The Future: Putting It Together; Part II: Computer Architectures.
- Chapter 3. High Performance on a Chip3.1 Killer Micros; 3.2 What Makes a High Performance Chip?; 3.3 How Processors Are Made Fast; 3.4 RISC Machines; 3.5 The Memory Bottleneck; 3.6 Conclusion; Chapter 4. Topological Issues; 4.1 Connectivity; 4.2 Switches; 4.3 Topologies and Routing; 4.4 Network Functionality; 4.5 New Trends in Communications; Part III: Multiple Processor Architectures; Chapter 5. Vector Processors; 5.1 Pipelined Supercomputers; 5.2 Vector Instructions; 5.3 Early Pipelined Computers: Examples; 5.4 Later Pipelined Computers; 5.5 Attached Processors; 5.6 New Directions.
- Chapter 6. Multiprocessor Machines6.1 Parallelism; 6.2 Coordination and Synchronization; 6.3 Memory Models; 6.4 Programming Models; 6.5 Hardware Issues; Chapter 7. Collections of Workstations; 7.1 The Cluster Model; 7.2 Networks of Workstations; 7.3 Future Goals; 7.4 Example; Chapter 8. I/O; 8.1 Introduction; 8.2 RAID; 8.3 Internal Parallel I/O Systems; 8.4 External I/O Systems; 8.5 Conclusion; Part IV: Software Issues; Chapter 9. Software; 9.1 Languages; 9.2 Compilers; 9.3 Operating Systems; 9�4 Message Passing Systems; 9.5 Reliability in Distributed Systems.
- Part V: High Performance ApplicationsChapter 10. Models of Physical Systems; 10.1 Introduction; 10.2 The Need for High Performance; 10.3 Heat Conduction; 10.4 Fluid Flow; 10.5 Methods for Solving the Equations; 10.6 Problem Decomposition; 10.7 Other Applications; 10.8 Conclusion; Chapter 11. Seismic Applications; 11.1 Introduction; 11.2 The Need for High Performance; 11.3 Seismic Exploration; 11.4 Seismic Processing; 11.5 Analysis of Geophysical Data; 11.6 Reservoir Modeling; 11.7 Summary; Chapter 12. Biology and Artificial Life; 12.1 Biology and High Performance Computing.
- 12.2 Computational Biochemistry12.3 Neural Networks; 12.4 Memory-Based Reasoning; 12.5 Artificial Life; 12.6 Conclusion; Chapter 13. Business Applications; 13.1 Introduction; 13.2 Large Database Applications; 13.3 Decision Support; 13.4 Data Mining and Micromarketing; 13.5 Intelligent Business Software; 13.6 Example in Parallelization: Options Pricing; 13.7 Conclusion; Chapter 14. Optimization; 14.1 Introduction; 14.2 The Need for High Performance; 14.3 Formalization; 14.4 The Simplex Method; 14.5 Airline Crew Pairing; 14.6 Portfolio Management; 14.7 Summary.