Models for Parallel and Distributed Computation - Theory, Algorithmic Techniques and Applications (Hardcover, 2002 ed.)

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."

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Applied Optimization, 67
Release date:	June 2002
First published:	2002
Editors:	R Correa • Ines De Castro Dutra • Mario Fiallos • Luiz Fernando Gomes da Silva
Dimensions:	235 x 155 x 20mm (L x W x T)
Format:	Hardcover
Pages:	323
Edition:	2002 ed.
ISBN-13:	978-1-4020-0623-4
Categories:	Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design > Parallel processing
LSN:	1-4020-0623-3
Barcode:	9781402006234

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