Numerical Solution Of Partial Differential Equations On Parallel Computers (Lecture Notes In Computational Science And Engineering) - Couverture souple
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Synopsis
This book surveys the major topics that are essential to high-performance simulation on parallel computers or computational clusters. These topics, including programming models, load balancing, mesh generation, efficient numerical solvers, and scientific software, are vital ingredients in the research fields of computer science, numerical analysis, and scientific computing. In addition to presenting the technological basis, this volume addresses selected applications that combine different techniques in order to meet demanding computational challenges. Through contributions from a wide range of internationally acknowledged experts, this book gives a to-the-point and self-containing overview of efficient ways to deal with large-scale simulation problems.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Présentation de l'éditeur
This book surveys the major topics that are essential to high-performance simulation on parallel computers or computational clusters. These topics, including programming models, load balancing, mesh generation, efficient numerical solvers, and scientific software, are vital ingredients in the research fields of computer science, numerical analysis, and scientific computing. In addition to presenting the technological basis, this volume addresses selected applications that combine different techniques in order to meet demanding computational challenges. Through contributions from a wide range of internationally acknowledged experts, this book gives a to-the-point and self-containing overview of efficient ways to deal with large-scale simulation problems.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Numerical Solution Of Partial Differential Equations On Parallel Computers (Lecture Notes In Computational Science And Engineering)
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Springer, 2006
ISBN 10 : 3540290761
ISBN 13 : 9783540290766
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Numerical Solution of Partial Differential Equations on Parallel Computers (Lecture Notes in Computational Science and Engineering, 51)
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NUMERICAL SOLUTION OF PARTIAL DIFFERENTIAL EQUATIONS ON PARALLEL
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Blanda. Etat : New. Etat de la jaquette : Nuevo. No Aplica (illustrateur). 0. This book surveys the major topics that are essential to high-perfonmance simulation on parallel computers or computational clusters. These topics, including programming models, load balancing, mesh generation, efficient numerical solvers, and scientific software, are vital ingredients in the research fields of computer science, numerical analysis, and scientific computing. In addition to presenting the technological basis, this volume addresses selected applications that combine different techniques in order to meet demanding computational challegnes. Through conributions from a wide range of internationally acknowledged experts, this book gives a to-the-point overview of efficient ways to deal with large-scale simulation problems. 700 gr. Libro. N° de réf. du vendeur 9783540290766LEA45908
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Numerical Solution of Partial Differential Equations on Parallel Computers (Lecture Notes in Computational Science and Engineering, 51)
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Numerical Solution of Partial Differential Equations on Parallel Computers
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Springer Berlin Heidelberg Dez 2005, 2005
ISBN 10 : 3540290761
ISBN 13 : 9783540290766
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Since the dawn of computing, the quest for a better understanding of Nature has been a driving force for technological development. Groundbreaking achievements by great scientists have paved the way from the abacus to the supercomputing power of today. When trying to replicate Nature in the computer's silicon test tube, there is need for precise and computable process descriptions. The scienti c elds of Ma- ematics and Physics provide a powerful vehicle for such descriptions in terms of Partial Differential Equations (PDEs). Formulated as such equations, physical laws can become subject to computational and analytical studies. In the computational setting, the equations can be discreti ed for ef cient solution on a computer, leading to valuable tools for simulation of natural and man-made processes. Numerical so- tion of PDE-based mathematical models has been an important research topic over centuries, and will remain so for centuries to come. In the context of computer-based simulations, the quality of the computed results is directly connected to the model's complexity and the number of data points used for the computations. Therefore, computational scientists tend to ll even the largest and most powerful computers they can get access to, either by increasing the si e of the data sets, or by introducing new model terms that make the simulations more realistic, or a combination of both. Today, many important simulation problems can not be solved by one single computer, but calls for parallel computing. 500 pp. Englisch. N° de réf. du vendeur 9783540290766
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Numerical Solution of Partial Differential Equations on Parallel Computers
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ISBN 13 : 9783540290766
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Numerical Solution of Partial Differential Equations on Parallel Computers (Lecture Notes in Computational Science and Engineering, 51)
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Taschenbuch. Etat : Neu. Numerical Solution of Partial Differential Equations on Parallel Computers | Are Magnus Bruaset (u. a.) | Taschenbuch | xii | Englisch | 2005 | Springer | EAN 9783540290766 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 102275380
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Numerical Solution of Partial Differential Equations on Parallel Computers
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Springer Berlin Heidelberg, Springer Berlin Heidelberg Dez 2005, 2005
ISBN 10 : 3540290761
ISBN 13 : 9783540290766
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Taschenbuch. Etat : Neu. Neuware -Since the dawn of computing, the quest for a better understanding of Nature has been a driving force for technological development. Groundbreaking achievements by great scientists have paved the way from the abacus to the supercomputing power of today. When trying to replicate Nature in the computer¿s silicon test tube, there is need for precise and computable process descriptions. The scienti c elds of Ma- ematics and Physics provide a powerful vehicle for such descriptions in terms of Partial Differential Equations (PDEs). Formulated as such equations, physical laws can become subject to computational and analytical studies. In the computational setting, the equations can be discreti ed for ef cient solution on a computer, leading to valuable tools for simulation of natural and man-made processes. Numerical so- tion of PDE-based mathematical models has been an important research topic over centuries, and will remain so for centuries to come. In the context of computer-based simulations, the quality of the computed results is directly connected to the model¿s complexity and the number of data points used for the computations. Therefore, computational scientists tend to ll even the largest and most powerful computers they can get access to, either by increasing the si e of the data sets, or by introducing new model terms that make the simulations more realistic, or a combination of both. Today, many important simulation problems can not be solved by one single computer, but calls for parallel computing.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 500 pp. Englisch. N° de réf. du vendeur 9783540290766
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Numerical Solution of Partial Differential Equations on Parallel Computers
Edité par
Springer Berlin Heidelberg, 2005
ISBN 10 : 3540290761
ISBN 13 : 9783540290766
Neuf
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Since the dawn of computing, the quest for a better understanding of Nature has been a driving force for technological development. Groundbreaking achievements by great scientists have paved the way from the abacus to the supercomputing power of today. When trying to replicate Nature in the computer's silicon test tube, there is need for precise and computable process descriptions. The scienti c elds of Ma- ematics and Physics provide a powerful vehicle for such descriptions in terms of Partial Differential Equations (PDEs). Formulated as such equations, physical laws can become subject to computational and analytical studies. In the computational setting, the equations can be discreti ed for ef cient solution on a computer, leading to valuable tools for simulation of natural and man-made processes. Numerical so- tion of PDE-based mathematical models has been an important research topic over centuries, and will remain so for centuries to come. In the context of computer-based simulations, the quality of the computed results is directly connected to the model's complexity and the number of data points used for the computations. Therefore, computational scientists tend to ll even the largest and most powerful computers they can get access to, either by increasing the si e of the data sets, or by introducing new model terms that make the simulations more realistic, or a combination of both. Today, many important simulation problems can not be solved by one single computer, but calls for parallel computing. N° de réf. du vendeur 9783540290766
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