Traditional software for parallel computing typically spreads computations evenly over a set of linked processors. This, however, may not always be the best way of maximizing the performance of a given network or cluster of computers. By taking account of the actual performance of individual processors and the links between them, parallel computing on heterogeneous networks offers significant improvements in parallel computations. Alexey Lastovetsky’s Parallel Computing on Heterogeneous Networks provides a timely resource on this innovative technology.
This forward-looking text begins with a general introduction to parallel computing, then progresses to the specifics of parallel computing with heterogeneous networks. Practically oriented, the book includes illustrative algorithms in the mpC programming language, a unique high-level software tool designed by the author specifically for programming heterogeneous parallel algorithms. All concepts and algorithms are illustrated with working programs that can be compiled or executed on any cluster. Some of the practical applications of these algorithms include:
All of the contents are also illustrated by carefully tested source code, allowing readers to play with the presented software tools and algorithms—particularly with the mpC programming language—while reading the book. Appendices provide both the complete source code and user’s guide for the principal applications used to illustrate the book’s material. Parallel Computing on Heterogeneous Networks proves a superior reference for researchers and graduate students in computer science.
About the Author
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.
Parallel Computing On Heterogeneous Networks
University College, Dublin, Ireland
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To my wife Gulnara, my daughters Olga and Oksana, and my parents Leonid and Lyudmila.
I would like to express my deep appreciation to my colleagues and friends Alexey Kalinov, Ilya Ledovskih, Dmitry Arapov, and Mikhail Posypkin for the happy days when we were working together on the mpC programming language. Their skills, devotion, and creativity created the basis for its successful implementation. I am very grateful to Victor Ivannikov for his persistent support of both the mpC project and myself in good and bad times. I am also very grateful to Ted Lewis without whose support and contribution the mpC project would not be possible at all. My special thanks are to Hesham El-Rewini and Albert Zomaya for their positive and encouraging attitude to the idea of this book. I also wish to thank Ravi Reddi for his comments and valuable contribution in the material presented in Sections 8.2, 22.214.171.124, and 126.96.36.199.