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

ISBN-10: 3642046649

ISBN-13: 9783642046643

ISBN-10: 3642046657

ISBN-13: 9783642046650

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)

**Read or Download High Performance Computing in Science and Engineering '09: Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2009 PDF**

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

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M. Hecht. Simulation of Peloids. PhD thesis, Universit¨ at Stuttgart, Germany, 2007. 18. M. Hecht and J. Harting. Computational steering of cluster formation in Brownian suspensions. Computers and Mathematics with Applications, 58:995–1002, 2009. Proceedings of the Fourth International Conference on Mesoscopic Methods in Engineering and Science, ICMMES (Munich, Germany). 19. M. Hecht, J. Harting, M. Bier, J. Reinshagen, and H. J. Herrmann. Shear viscosity of clay-like colloids in computer simulations and experiments.

On the other hand it can save a large amount of computing time when exploring the parameter space and when the position of transition lines between diﬀerent regions is investigated. We have shown this by the onset of cluster formation due to modifying the interaction potentials in a model suspension. Steering can be used as well to start data acquisition after a transient at the beginning of a simulation or to adjust the frequency for the data acquisition according to the current state of the simulation.

Phys. Rev. E, 69:061407, 2004. 25. T. Ihle and D. M. Kroll. Stochastic rotation dynamics I: formalism, Galilean invariance, Green-Kubo relations. Phys. Rev. E, 67:066705, 2003. 26. T. Ihle and D. M. Kroll. Stochastic rotation dynamics II: transport coeﬃcients, numerics, long time tails. Phys. Rev. E, 67:066706, 2003. 27. Y. Inoue, Y. Chen, and H. Ohashi. Development of a simulation model for solid objects suspended in a ﬂuctuating ﬂuid. J. Stat. , 107:85–100, 2002. 28. W. Kalthoﬀ, S. Schwarzer, and H.

### High Performance Computing in Science and Engineering '09: Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2009 by Volker Gaibler, Max Camenzind (auth.), Wolfgang E. Nagel, Dietmar B. Kröner, Michael M. Resch (eds.)

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