Lectures parallel computation von gibbons alan (6 Ergebnisse)

Paperback. Zustand: Sehr gut. Revised ed. 448 S. Very Good. Shrink wrapped. Sprache: Englisch Gewicht in Gramm: 835.

Zustand: Good. Volume 4. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1100grams, ISBN:9780521415569.…

Zustand: Fair. Volume 4. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1100grams, ISBN:9780521415569.…

Zustand: New. In English.

Zustand: 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. . . . . Books ship from the US and Ireland. …

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…