By Patrick Kilian, Thomas Burkart, Felix Spanier (auth.), Wolfgang E. Nagel, Dietmar B. Kröner, Michael M. Resch (eds.)
This publication provides the state of the art in simulation on supercomputers. major researchers current effects completed on structures of the excessive functionality Computing heart Stuttgart (HLRS) for the yr 2011. The reviews disguise all fields of computational technology and engineering, starting from CFD to computational physics and chemistry, to desktop technology, with a unique emphasis on industrially appropriate purposes. offering effects for either vector structures and microprocessor-based platforms, the booklet permits readers to match the functionality degrees and usefulness of varied architectures. As HLRS operates not just a wide cluster method but additionally one of many biggest NEC vector platforms on the earth, this booklet additionally bargains first-class insights into the potential for vector structures. The publication covers the most tools utilized in high-performance computing. Its remarkable leads to attaining maximum functionality for creation codes are of specific curiosity for scientists and engineers alike. The e-book comes with a wealth of colour illustrations and tables of results.
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Extra info for High Performance Computing in Science and Engineering '11: Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2011
With the inhomogeneity damage model this feature can be simulated. The filling factor distribution of dust aggregates can be determined in the laboratory by X-ray tomography measurements . These empirical data can be directly implemented into the inhomogeneity damage model whose input parameters can be obtained more easily than the values for the Weibull distribution , which is used for brittle material. By considering laboratory measurements of a size range of aggregates of the same filling factor, scaling laws of the inhomogeneity with size could be derived.
Because of the difficulties of mapping the simulation data to the existing format, we propose a new model, which is based on quantitative aspects: we divided the set of fragments of a collision into four populations: the largest and second largest fragment are described by distinct values for the characteristic quantities of mass, filling factor, and kinetic energy to name only a few. The power-law population is described by distributions and the sub-resolution population by averaged values for the characteristic quantities.
Due to the interesting implications of these results, we plan to further analyse the nucleosynthesis conditions in corecollapse supernovae by calculating self-consistent explosion models for more massive progenitors, by exploring model variations with further high-resolution runs of O-Ne-Mg core supernovae, and also by investigating the accretion-induced collapse and the subsequent explosion of white dwarfs (another scenario of high relevance for chemogalactic evolution). Furthermore, we have been able to improve our predictions for the late-time neutrino signal for these progenitors with the help of an adapted mixing-length treatment of convection in 1D models.
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