Models for Parallel and Distributed Computation: Theory, Algorithmic Techniques and Applications
Author:   R. Correa ,  Ines de Castro Dutra ,  Mario Fiallos ,  Luiz Fernando Gomes da Silva
Publisher:   Springer-Verlag New York Inc.
Edition:   2002 ed.
Volume:   67
ISBN:  

9781402006234


Pages:   323
Publication Date:   30 June 2002
Format:   Hardback
Availability:   Out of print, replaced by POD   Availability explained
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Models for Parallel and Distributed Computation: Theory, Algorithmic Techniques and Applications


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Overview

This text focuses on advanced techniques used in the design of efficient parallel programmes. It 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 contains general and specific texts about advanced algorithms for parallel computation and gathers together the state-of-the-art on parallelism with contributions from researchers actively working with parallel computation. The chapters cover a broad variety of models, ranging from abstract shared-memory models such as PRAM to more realistic models of distributed memory, including CGM, LogP and BSP. To the best of our knowledge, no other book in the literature covers state-of-the-art about parallel models as approached in this special edition.

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Author:   R. Correa ,  Ines de Castro Dutra ,  Mario Fiallos ,  Luiz Fernando Gomes da Silva
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2002 ed.
Volume:   67
Dimensions:   Width: 15.50cm , Height: 2.00cm , Length: 23.50cm
Weight:   1.470kg
ISBN:  

9781402006234


ISBN 10:   1402006233
Pages:   323
Publication Date:   30 June 2002
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of print, replaced by POD   Availability explained
We will order this item for you from a manufatured on demand supplier.

Table of Contents

1 Introduction to the Complexity of Parallel Algorithms.- 2 The Combinatorics of Resource Sharing.- 3 On Solving the Static Task Scheduling Problem for Real Machines.- 4 Predictable Parallel Performance: The BSP Model.- 5 Discrete computing with CGM.- 6 Parallel Graph Algorithms for Coarse-Grained Multicomputers.- 7 Parallel metaheuristics for combinatorial optimization.- 8 Parallelism in Logic Programming and Scheduling Issues.- 9 Parallel Asynchronous Team Algorithms.- 10 Parallel Numerical Methods for Differential Equations.

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