Models for Parallel and Distributed Computation: Theory, Algorithmic Techniques and Applications von Correa, R. (Editor) / de Castro Dutra, Ines (Editor) / Fiallos, Mario (Editor) / da Silva, Luiz Fernando Gomes (Editor): Brand New Paperback (2002)

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340 pages. 9.00x6.00x0.78 inches. In Stock.

Bestandsnummer des Verk�ufers x-1441952195

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Bibliografische Details

Titel: Models for Parallel and Distributed Computation: Theory, Algorithmic Techniques and Applications
Verlag: Springer US
Ver�ffentlichungsdatum: 2002
Sprache: Englisch
ISBN-10: 1441952195
ISBN-13: 9781441952196
Bindung: Paperback
Zustand: Brand New

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Inhaltsangabe

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.

Rese�a del editor

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.

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