The foundations of parallel computation, especially the efficiency of computation, are the concern of this book. Distinguished international researchers have contributed fifteen chapters which together form a coherent stream taking the reader who has little prior knowledge of the field to a position of being familiar with leading edge issues. The book may also function as a source of teaching material and reference for researchers. The first part is devoted to the Parallel Random Access Machine (P-RAM) model of parallel computation. The initial chapters justify and define the model, which is then used for the development of algorithm design in a variety of application areas such as deterministic algorithms, randomisation and algorithm resilience. The second part deals with distributed memory models of computation. The question of efficiently implementing P-RAM algorithms within these models is addressed as are the immensely interesting prospects for general purpose parallel computation.
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"...of most interest to advanced computer scientists (for whom it could be a very good reference)..could be used for self-instruction, or as a text-book for an advanced graduate course...a must for theoretical computer scientists whose interests are in the foundations of parallel computing." IEEE Parallel & Distributed Technology
The foundations of parallel computation, especially the efficiency of computation, are the concern of this book. Distinguished international researchers have contributed fifteen chapters which together form a coherent stream taking the reader who has little prior knowledge of the field to a position of being familiar with leading edge issues. The book may also function as a source of teaching material and reference for researchers. The first part is devoted to the Parallel Random Access Machine (P-RAM) model of parallel computation. The initial chapters justify and define the model, which is then used for the development of algorithm design in a variety of application areas such as deterministic algorithms, randomisation and algorithm resilience. The second part deals with distributed memory models of computation. The question of efficiently implementing P-RAM algorithms within these models is addressed as are the immensely interesting prospects for general purpose parallel computation.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Condición: New. The foundations of parallel computation are the concern of this book, which may also function as a source of teaching material or reference for researchers. Editor(s): Gibbons, Alan; Spirakis, Paul. Series Editor(s): McColl, W.F.; Chan, T.F.; Gottlieb, A.; Karp, R.M.; Rem, M.; Valiant, L.G. Series: Cambridge International Series on Parallel Computation. Num Pages: 448 pages, Illustrations. BIC Classification: UMB; UYFP. Category: (P) Professional & Vocational. Dimension: 247 x 174 x 23. Weight in Grams: 710. . 2008. Revised ed. paperback. . . . . Nº de ref. del artículo: V9780521017602
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