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Parallel Computing on Heterogeneous Networks

ISBN: 978-0-471-45718-3
423 pages
January 2004
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Description

  • New approaches to parallel computing are being developed that make better use of the heterogeneous cluster architecture
  • Provides a detailed introduction to parallel computing on heterogenous clusters
  • All concepts and algorithms are illustrated with working programs that can be compiled and executed on any cluster
  • The algorithms discussed have practical applications in a range of real-life parallel computing problems, such as the N-body problem, portfolio management, and the modeling of oil extraction
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Table of Contents

Acknowledgments.

Introduction.

PART I. EVOLUTION OF PARALLEL COMPUTING.

Serial Scalar Processor.

Vector and Superscalar Processors.

Shared Memory Multiprocessors.

Distributed Memory Multiprocessors.

Networks of Computers: Architecture and Programming Challenges.

PART II. PARALLEL PROGRAMMING FOR NETWORKS OF COMPUTERS WITH MPC AND HMPI.

Introduction to mpC.

Advanced Heterogeneous Parallel Programming in mpC.

Toward a Message-Passing Library for Heterogeneous Networks of Computers.

PART III. APPLICATIONS OF HETEROGENEOUS PARALLEL COMPUTING.

Scientific Applications.

Business and Software Engineering Applications.

Appendix A: The mpC N-Body Application. 

Appendix B: The Block Cyclic Matrix Multiplication Routine for Heterogeneneous Platforms.

Appendix C: The Parallel Adaptive Quadrature Routine.

Appendix D: The mpC User's Guide.

Bibliography.

Index.

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Author Information

ALEXEY L. LASTOVETSKY, PhD, is a lecturer in the Department of Computer Science at University College, Dublin. Previously, he was a senior member of the technical staff at Iona Technologies, Ireland, and has also held appointments at the Russian Academy of Sciences and the Moscow State University.
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Reviews

"If you're looking for solutions for numerical programming on networks of computers, then…[this] is the book for you…one of the book's greatest strengths is its simplicity…moves smoothly from one topic to the next." (IEEE Distributed Systems Online, November 2004)
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