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Parallel Computing Works!.

By: Fox, Geoffrey C.
Contributor(s): Williams, Roy D | Messina, Guiseppe C.
Material type: TextTextSeries: eBooks on Demand.Publisher: Saint Louis : Elsevier Science, 2014Description: 1 online resource (1012 p.).ISBN: 9780080513515.Subject(s): Parallel computers | Parallel processing (Electronic computers)Genre/Form: Electronic books.Additional physical formats: Print version:: Parallel Computing Works!DDC classification: 004.35 Online resources: Click here to view this ebook.
Contents:
Front Cover -- Parallel Computing Works! -- Copyright Page -- Table of Contents -- Color Plates -- 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 Systems -- 3.6 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 Problems -- 6.2 Convectively-Dominated Flows and the Flux-Corrected Transport Technique -- 6.3 Magnetism in the High-Temperature Superconductor Materials -- 6.4 Phase Transitions in Two-dimensional Quantum Spin Systems -- 6.5 A Hierarchical Scheme for Surface Reconstruction and Discontinuity Detection -- 6.6 Character Recognition by Neural Nets -- 6.7 An Adaptive Multiscale Scheme for Real-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 Systems -- 7.4 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 an Electron Beam Plasma Instability -- 9.4 Computational Electromagnetics -- 9.5 LU Factorization of Sparse, Unsymmetric Jacobian Matrices -- 9.6 Concurrent DASSL Applied to Dynamic Distillation Column Simulation -- 9.7 Adaptive Multigrid -- 9.8 Munkres Algorithm for Assignment -- 9.9 Optimization Methods for Neural Nets: Automatic Parameter Tuning and Faster Convergence -- Chapter 10. DIME Programming Environment
10.1 DIME Portable Software for Irregular Meshes for Parallel or Sequential Computers
Summary: A clear illustration of how parallel computers can be successfully appliedto large-scale scientific computations. This book demonstrates how avariety of applications in physics, biology, mathematics and other scienceswere implemented on real parallel computers to produce new scientificresults. It investigates issues of fine-grained parallelism relevant forfuture supercomputers with particular emphasis on hypercube architecture. The authors describe how they used an experimental approach to configuredifferent massively parallel machines, design and implement ba
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Item type Current location Call number URL Status Date due Barcode
Electronic Book UT Tyler Online
Online
QA76.58 F694 2014 (Browse shelf) http://uttyler.eblib.com/patron/FullRecord.aspx?p=1876691 Available EBL1876691

Front Cover -- Parallel Computing Works! -- Copyright Page -- Table of Contents -- Color Plates -- 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 Systems -- 3.6 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 Problems -- 6.2 Convectively-Dominated Flows and the Flux-Corrected Transport Technique -- 6.3 Magnetism in the High-Temperature Superconductor Materials -- 6.4 Phase Transitions in Two-dimensional Quantum Spin Systems -- 6.5 A Hierarchical Scheme for Surface Reconstruction and Discontinuity Detection -- 6.6 Character Recognition by Neural Nets -- 6.7 An Adaptive Multiscale Scheme for Real-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 Systems -- 7.4 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 an Electron Beam Plasma Instability -- 9.4 Computational Electromagnetics -- 9.5 LU Factorization of Sparse, Unsymmetric Jacobian Matrices -- 9.6 Concurrent DASSL Applied to Dynamic Distillation Column Simulation -- 9.7 Adaptive Multigrid -- 9.8 Munkres Algorithm for Assignment -- 9.9 Optimization Methods for Neural Nets: Automatic Parameter Tuning and Faster Convergence -- Chapter 10. DIME Programming Environment

10.1 DIME Portable Software for Irregular Meshes for Parallel or Sequential Computers

A clear illustration of how parallel computers can be successfully appliedto large-scale scientific computations. This book demonstrates how avariety of applications in physics, biology, mathematics and other scienceswere implemented on real parallel computers to produce new scientificresults. It investigates issues of fine-grained parallelism relevant forfuture supercomputers with particular emphasis on hypercube architecture. The authors describe how they used an experimental approach to configuredifferent massively parallel machines, design and implement ba

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