Parallel computing on heterogeneous networks / Alexey Lastovetsky.

By: Lastovetsky, Alexey, 1957- [author.]
Language: English Series: Wiley series on parallel and distributed computingPublisher: Hoboken, New Jersey : John Wiley & Sons, Inc., c2003Description: 1 online resource (423 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9780471229827 ; 9780471654162 (ebook)Subject(s): Parallel programming (Computer science) | Heterogeneous computing | Computer networks | Internetworking (Telecommunication)Genre/Form: Electronic books.DDC classification: 005.275 LOC classification: QA76.642 | .L358 2003Online resources: Full text available at Wiley Online Library Click here to view
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.
Summary: 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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ABOUT THE AUTHOR
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.

Includes bibliographical references (p. 415) and index.

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.

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

000-099 005

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