Download High Performance Computing in Science and Engineering '09: by Volker Gaibler, Max Camenzind (auth.), Wolfgang E. Nagel, PDF

By Volker Gaibler, Max Camenzind (auth.), Wolfgang E. Nagel, Dietmar B. Kröner, Michael M. Resch (eds.)

Aus den Rezensionen: “Obwohl auch aus finanziellen Gründen eigentlich auf einen engen Kreis von Forschern beschränkt, ist die Simulation mit Supercomputern bzw. deren Resultate kaum mehr aus unserem Alltag wegzudenken - Stichwort numerische Wettervorhersage. ... Ein wissenschaftliches Buch, das den aktuellen Stand des vielfältigen Einsatzes von Supercomputing in Deutschland präsentiert.“ (in: Bulletin SEV/VSE, February/2010, S. 87)

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Extra info for High Performance Computing in Science and Engineering '09: Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2009

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Future Generation Computer Systems, 15:485–495, 1999. 46. J. F. Richardson and W. N. Zaki. Sedimentation and fluidisation: Part 1. Trans. Instn. Chem. , 32:35–53, 1954. 47. S. Richter and G. Huber. Resonant column experiments with fine-grained model material - evidence of particle surface forces. Granular Matter, 5:121–128, 2003. 48. M. Ripoll, K. Mussawisade, R. G. Winkler, and G. Gompper. Low-Reynoldsnumber hydrodynamics of complex fluids by multi-particle-collision dynamics. Europhys. , 68:106–112, 2004.

Astron. Astrophys. 457 (2006) 281–308 25. : Delayed Neutrino-Driven Supernova Explosions Aided by the Standing Accretion-Shock Instability. Astrophys. J. 694 (2009) 664–696 26. : Explosions of O–Ne–Mg cores, the Crab supernova, and subluminous type II–P supernovae. Astron. Astrophys. 450 (2006) 345–350 32 B. M¨ uller, A. -Th. Janka 27. : Toward Gravitational Wave Signals from Realistic Core-Collapse Supernova Models. Astrophys. J. 603 (2004) 221–230 28. : Equation-of-state dependent features in shock-oscillation modulated neutrino and gravitational-wave signals from supernovae.

17, 19, 21]. For the simulation of a fluid solvent, many different simulation methods have been proposed: direct Navier Stokes solvers [28, 29, 52, 61], Stokesian Dynamics (SD) [4, 5, 44], Accelerated Stokesian Dynamics (ASD) [55, 56], pair drag simulations [31], Brownian Dynamics (BD) [22, 23], Lattice Boltzmann (LB) [30, 32–34], and Stochastic Rotation Dynamics (SRD) [21, 27, 42]. These mesoscopic fluid simulation methods have in common that they impose certain approximations to reduce the computational effort.

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