Parallel Computing presents scientific computing techniques applied to parallel computing for the numerical simulation of large-scale problems, which result from systems modeled by partial differential equations. Num Pages: 368 pages. BIC Classification: UKG. Category: (P) Professional & Vocational. Dimension: 250 x 150 x 0. . . 2016. 1st Edition. Hardcover. . . . .

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Titre: Parallel Scientific Computing
�diteur: ISTE Ltd and John Wiley & Sons Inc
Date de parution: 2015
Langue: anglais
ISBN � 10 chiffres: 1848215819
ISBN � 13 chiffres: 9781848215818
Reliure: Couverture rigide
�dition: Edition originale
�tat de l'article: New

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Synopsis

Parallel Scientific Computing

Scientific computing has become an indispensable tool in numerous fields, such as physics, mechanics, biology, finance and industry. For example, it enables us, thanks to efficient algorithms adapted to current computers, to simulate, without the help of models or experimentations, the deflection of beams in bending, the sound level in a theater room or a fluid flowing around an aircraft wing.

This book presents the scientific computing techniques applied to parallel computing for the numerical simulation of large-scale problems; these problems result from systems modeled by partial differential equations. Computing concepts will be tackled via examples.

Implementation and programming techniques resulting from the finite element method will be presented for direct solvers, iterative solvers and domain decomposition methods, along with an introduction to MPI and OpenMP.

� propos de l?auteur

Fr�d�ric Magoul�s is Professor at Ecole Centrale Paris in France and Honorary Professor at the University of Pecs in Hungary. His research focuses on parallel computing and numerical linear algebra.

Fran�ois-Xavier Roux is Professor at Universit� Pierre et Marie Curie and an Engineer at ONERA, in France. His research focuses on parallel computing and numerical analysis.

Guillaume Houzeaux is Team Leader at the Barcelona Supercomputing Center in Spain. His research focuses on high performance computational mechanics.

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