Parallel Computational Fluid Dynamics 2008 [electronic resource] : Parallel Numerical Methods, Software Development and Applications / edited by Damien Tromeur-Dervout, Gunther Brenner, David R. Emerson, Jocelyne Erhel.

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Series: Lecture Notes in Computational Science and Engineering ; 74Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010Description: XIV, 438 p. 233 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783642144387

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Genre/Form:

Electronic books.

Additional physical formats: Printed edition:: No titleDDC classification:

531 23

LOC classification:

QC6.4.C6

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In: Springer eBooksSummary: This book collects the proceedings of the Parallel Computational Fluid Dynamics 2008 conference held in Lyon, France. Contributed papers by over 40 researchers representing the state of the art in parallel CFD and architecture from Asia, Europe, and North America examine major developments in (1) block-structured grid and boundary methods to simulate flows over moving bodies, (2) specific methods for optimization in Aerodynamics Design, (3) innovative parallel algorithms and numerical solvers, such as scalable algebraic multilevel preconditioners and the acceleration of iterative solutions, (4) software frameworks and component architectures for parallelism, (5) large scale computing and parallel efficiencies in the industrial context, (6) lattice Boltzmann and SPH methods, and (7) applications in the environment, biofluids, and nuclear engineering.

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eBooks

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This book collects the proceedings of the Parallel Computational Fluid Dynamics 2008 conference held in Lyon, France. Contributed papers by over 40 researchers representing the state of the art in parallel CFD and architecture from Asia, Europe, and North America examine major developments in (1) block-structured grid and boundary methods to simulate flows over moving bodies, (2) specific methods for optimization in Aerodynamics Design, (3) innovative parallel algorithms and numerical solvers, such as scalable algebraic multilevel preconditioners and the acceleration of iterative solutions, (4) software frameworks and component architectures for parallelism, (5) large scale computing and parallel efficiencies in the industrial context, (6) lattice Boltzmann and SPH methods, and (7) applications in the environment, biofluids, and nuclear engineering.