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Models for Parallel and Distributed Computation: Theory, Algorithmic Techniques and Applications (Applied Optimization, 67) by Michel Cosnard (auth.), Ricardo Corrêa, Inês Dutra, Mario Fiallos, Fernando Gomes (eds.) is a nonfiction available to read on EtoBox.

What is Models for Parallel and Distributed Computation: Theory, Algorithmic Techniques and Applications (Applied Optimization, 67) about?

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-

Who reads Models for Parallel and Distributed Computation: Theory, Algorithmic Techniques and Applications (Applied Optimization, 67)?

Author

Michel Cosnard (auth.), Ricardo Corrêa, Inês Dutra, Mario Fiallos, Fernando Gomes (eds.)

Publisher

Springer US : Imprint : Springer

Published

2002

Language

EN

ISBN

9781402006234

Category

nonfiction

Subjects

Computer Science, Mathematics, Science