Models for Parallel and Distributed Computation: Theory, Algorithmic Techniques and Applications

. Ed(s): Correa, Ricardo; Dutra, Ines De Castro; Fiallos, Mario; Silva, Luiz Fernando Gomes

ISBN 10: 1402006233 / ISBN 13: 9781402006234

Published by Kluwer Boston Incorporated, 2002

About this Item

Focuses on advanced techniques used in the design of efficient parallel programs. This book presents a wide variety of different models of parallel and distributed computation and applications of these models to the design of efficient algorithms to solve numerical and non-numerical problems. It is suitable for students of computer science. Editor(s): Correa, Ricardo; Dutra, Ines De Castro; Fiallos, Mario; Silva, Luiz Fernando Gomes. Series: Applied Optimization. Num Pages: 323 pages, biography. BIC Classification: UYFP. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 20. Weight in Grams: 664. . 2002. 2002nd Edition. hardcover. . . . . Books ship from the US and Ireland.

Seller Inventory # V9781402006234

Bibliographic Details

• Title: Models for Parallel and Distributed Computation: Theory, Algorithmic Techniques and Applications
• Publisher: Kluwer Boston Incorporated
• Publication Date: 2002
• Language: English
• ISBN 10: 1402006233
• ISBN 13: 9781402006234
• Binding: Hardcover
• Condition: New

About this title

Synopsis

Parallel and distributed computation has been gaining a great lot of attention in the last decades. During this period, the advances attained in computing and communication technologies, and the reduction in the costs of those technolo­ gies, played a central role in the rapid growth of the interest in the use of parallel and distributed computation in a number of areas of engineering and sciences. Many actual applications have been successfully implemented in various plat­ forms varying from pure shared-memory to totally distributed models, passing through hybrid approaches such as distributed-shared memory architectures. Parallel and distributed computation differs from dassical sequential compu­ tation in some of the following major aspects: the number of processing units, independent local dock for each unit, the number of memory units, and the programming model. For representing this diversity, and depending on what level we are looking at the problem, researchers have proposed some models to abstract the main characteristics or parameters (physical components or logical mechanisms) of parallel computers. The problem of establishing a suitable model is to find a reasonable trade-off among simplicity, power of expression and universality. Then, be able to study and analyze more precisely the behavior of parallel applications.