Lastovetsky (computer science, University College-Dublin) overviews the evolution of parallel computer architectures in relation to the development of parallel programming models and tools, presents the mpC parallel programming language, and spotlights advanced mpC applications involving heterogeneous clusters. All concepts and algorithms are illustrated with working programs that can be compiled or executed on any cluster. The book can be used for an introductory university course on parallel programming systems. Annotation (c) Book News, Inc., Portland, OR (booknews.com)
- 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
Arvustused
"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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| PART I. EVOLUTION OF PARALLEL COMPUTING. |
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Vector and Superscalar Processors. |
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Shared Memory Multiprocessors. |
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Distributed Memory Multiprocessors. |
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Networks of Computers: Architecture and Programming Challenges. |
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| PART II. PARALLEL PROGRAMMING FOR NETWORKS OF COMPUTERS WITH MPC AND HMPI. |
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Advanced Heterogeneous Parallel Programming in mpC. |
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Toward a Message-Passing Library for Heterogeneous Networks of Computers. |
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| PART III. APPLICATIONS OF HETEROGENEOUS PARALLEL COMPUTING. |
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Business and Software Engineering Applications. |
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Appendix A: The mpC N-Body Application. |
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Appendix B: The Block Cyclic Matrix Multiplication Routine for Heterogeneneous Platforms. |
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Appendix C: The Parallel Adaptive Quadrature Routine. |
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Appendix D: The mpC User's Guide. |
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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.
