* 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
Inhaltsverzeichnis
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 mp C.
Advanced Heterogeneous Parallel Programming in mp C.
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 mp C N-Body Application.
Appendix B: The Block Cyclic Matrix Multiplication Routine for
Heterogeneneous Platforms.
Appendix C: The Parallel Adaptive Quadrature Routine.
Appendix D: The mp C User’s Guide.
Bibliography.
Index.
Über den Autor
ALEXEY L. LASTOVETSKY, Ph D, 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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