Source: https://catalog.uttyler.edu/cgi-bin/koha/opac-detail.pl?biblionumber=998304
Timestamp: 2019-04-23 04:37:26+00:00

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The University of Texas at Tyler Libraries catalog › Details for: Special Purpose Computers.
Details for: Special Purpose Computers.
Front Cover -- Special Purpose Computers -- Copyright Page -- Table of Contents -- Contributors -- Introduction -- Chapter 1. The Hypercube and the Caltech Concurrent Computation Program: A Microcosm of Parallel Computing -- I. Original Motivation and Historical Overview -- II. Hypercube Hardware -- III. Domain Decomposition and the Hypercube as a General-Purpose Supercomputer -- IV. Software for the Hypercube -- V. The Future -- References -- Chapter 2. The QCD Machine -- I. Introduction -- II. Background -- III. Architecture -- IV. Programming -- V. Implementation -- VI. Experience -- References -- Chapter 3. Geometry -Defining Processors for Partial Differential Equations -- I. Introduction -- II. The Finite-Element Method: Geometry and Parallelism -- III. Geometry-Defining Processors -- IV. Geometry Input and Mesh Generation -- V. Parallel Solution of Partial Differential Equations -- VI. Prototype Implementation of Mesh-Generation GDPs -- VII. Performance Estimates for Computational GDPs -- Acknowledgements -- References -- Chapter 4. A Navier- Stokes Computer -- I. Introduction -- II. Architectural Overview of NSC -- III. NSC Hardware Organization -- IV. NSC Software -- References -- Chapter 5. Parallel Processing with the Loosely Coupled Array of Processors System -- I. Introduction -- II. Initial Configuration for LCAP -- III. System Considerations -- IV. Parallel Programming Strategy and Considerations -- V. Initial Applications and Performance -- VI. Extended LCAP, Applications and Performance -- VII. Summary -- References -- Chapter 6. Design and Implementation of the Delft Molecular-Dynamics Processor -- I. Introduction -- IL Computational Aspects of Molecular Dynamics -- III. Design Considerations for a Special-Purpose Molecular-Dynamics Processor -- IV. Design of the MD Processor -- V. Implementation -- VI. Software.
VII. Conclusions -- References -- Acknowledgments -- Chapter 7. The Delft Ising System Processor -- I. Introduction -- II. Design Characteristics -- III. Hardware Architecture -- IV. The Random-Number Generator -- V. Performance -- VI. Software -- VII. Summary of Results -- VIII. Current Activities -- Acknowledgments -- References -- Index.
Summary: Special Purpose Computers describes special-purpose computers and compares them to general-purpose computers in terms of speed and cost. Examples of computers that were designed for the efficient solution of long established algorithms are given, including Navier-Stokes hydrodynamic solvers, classical molecular dynamic machines, and Ising model computers. Comprised of seven chapters, this volume begins by documenting the progress of the CalTech Concurrent Computation Program and its evolution from computational high-energy physics to a supercomputer initiative, with emphasis on the lessons learned including computer architecture issues and the trade-offs between in-house and commercial development. The reader is then introduced to the QCD Machine, a special-purpose parallel supercomputer that was designed and built to solve the lattice quantum chromodynamics problem. Subsequent chapters focus on the Geometry-Defining Processors and their application to the solution of partial differential equations; the Navier-Stokes computer; parallel processing using the Loosely Coupled Array of Processors (LCAP) system; and the Delft Ising system processor. The design and implementation of the Delft molecular-dynamics processor are also described. This book will be of interest to computer engineers and designers.
Special Purpose Computers describes special-purpose computers and compares them to general-purpose computers in terms of speed and cost. Examples of computers that were designed for the efficient solution of long established algorithms are given, including Navier-Stokes hydrodynamic solvers, classical molecular dynamic machines, and Ising model computers. Comprised of seven chapters, this volume begins by documenting the progress of the CalTech Concurrent Computation Program and its evolution from computational high-energy physics to a supercomputer initiative, with emphasis on the lessons learned including computer architecture issues and the trade-offs between in-house and commercial development. The reader is then introduced to the QCD Machine, a special-purpose parallel supercomputer that was designed and built to solve the lattice quantum chromodynamics problem. Subsequent chapters focus on the Geometry-Defining Processors and their application to the solution of partial differential equations; the Navier-Stokes computer; parallel processing using the Loosely Coupled Array of Processors (LCAP) system; and the Delft Ising system processor. The design and implementation of the Delft molecular-dynamics processor are also described. This book will be of interest to computer engineers and designers.

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