Lectures in Parallel Computation

Alan Gibbons (u. a.)

ISBN 10: 0521017602 / ISBN 13: 9780521017602

Published by Cambridge University Press, 2005

About this Item

Lectures in Parallel Computation | Alan Gibbons (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2005 | Cambridge University Press | EAN 9780521017602 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 102290314

Bibliographic Details

• Title: Lectures in Parallel Computation
• Publisher: Cambridge University Press
• Publication Date: 2005
• Language: English
• ISBN 10: 0521017602
• ISBN 13: 9780521017602
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 244W x 170H x 24D millimeters 244 millimeters width by 170 millimeters height by 24 millimeters depth
• Weight: 768 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

Review

"...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