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Parallel computing works! /
A clear illustration of how parallel computers can be successfully applied.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
San Francisco, CA :
Morgan Kaufmann,
1994.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Cover; Parallel Computing Works!; Copyright Page; Table of Contents; Appendices; Preface; Chapter 1. Introduction; 1.1 Introduction; 1.2 The National Vision for Parallel Computation; 1.3 Caltech Concurrent Computation Program; 1.4 How Parallel Computing Works; Chapter 2. Technical Backdrop; 2.1 Introduction; 2.2 Hardware Trends; 2.3 Software; 2.4 Summary; Chapter 3. A Methodology for Computation; 3.1 Introduction; 3.2 The Process of Computation and Complex Systems; 3.3 Examples of Complex Systems and Their Space-Time Structure; 3.4 The Temporal Properties of Complex Systems.
- 3.5 Spatial Properties of Complex Systems3.6 Compound Complex Systems; 3.7 Mapping Complex Systems; 3.8 Parallel Computing Works?; Chapter 4. Synchronous Applications; 4.1 QCD and the Beginning of C3P; 4.2 Synchronous Applications; 4.3 Quantum Chromodynamics; 4.4 Spin Models; 4.5 An Automata Model of Granular Materials; Chapter 5. Express and CrOS -Loosely Synchronous Message Passing; 5.1 Multicomputer Operating Systems; 5.2 A ""Packet"" History of Message-passing Systems; 5.3 Parallel Debugging; 5.4 Parallel Profiling; Chapter 6. Synchronous Applications II.
- 6.1 Computational Issues in Synchronous Problems6.2 Convectively-Dominated Flows and the Flux-Corrected Transport Technique; 6.3 Magnetism in the High-TemperatureSuperconductor Materials; 6.4 Phase Transitions in Two-dimensionalQuantum Spin Systems; 6.5 A Hierarchical Scheme for SurfaceReconstruction and Discontinuity Detection; 6.6 Character Recognition by Neural Nets; 6.7 An Adaptive Multiscale Scheme forReal-Time Motion Field Estimation; 6.8 Collective Stereopsis; Chapter 7. Independent Parallelism; 7.1 Embarrassingly Parallel Problem Structure; 7.2 Dynamically Triangulated Random Surfaces.
- 7.3 Numerical Study of High-Tc Spin Systems7.4 Statistical Gravitational Lensing; 7.5 Parallel Random Number Generators; 7.6 Parallel Computing in Neurobiology: The GENESIS Project; Chapter 8. Full Matrix Algorithms and Their Applications; 8.1 Full and Banded Matrix Algorithms; 8.2 Quantum Mechanical Reactive Scattering Using a High-Performance Parallel Computer; 8.3 Studies of Electron-Molecule Collisions on Distributed-Memory Parallel Computers; Chapter 9. Loosely Synchronous Problems; 9.1 Problem Structure; 9.2 Geomorphology by Micromechanical Simulations.
- 9.3 Plasma Particle-in-Cell Simulation of anElectron Beam Plasma Instability9.4 Computational Electromagnetics; 9.5 LU Factorization of Sparse, Unsymmetric Jacobian Matrices; 9.6 Concurrent DASSL Applied to DynamicDistillation Column Simulation; 9.7 Adaptive Multigrid; 9.8 Munkres Algorithm for Assignment; 9.9 Optimization Methods for Neural Nets: Automatic Parameter Tuning and FasterConvergence; Chapter 10. DIME Programming Environment; 10.1 DIME Portable Software for IrregularMeshes for Parallel or SequentialComputers; 10.2 DIMEFEM: High-level Portable Irregular-Mesh Finite-Element Solver.