High Performance Computing in Science and Engineering’ 04: by Prof. Dr. Harms Ruder, Dr. Roland Speith (auth.), Egon

By Prof. Dr. Harms Ruder, Dr. Roland Speith (auth.), Egon Krause, Willi Jäger, Michael Resch (eds.)

This booklet provides the cutting-edge in modelling and simulation on supercomputers. major German examine teams current their effects completed on high-end structures of the excessive functionality Computing heart Stuttgart (HLRS) for the yr 2004. The reviews disguise all fields of computational technology and engineering starting from computational fluid dynamics through computational physics and chemistry to machine technology. distinctive emphasis is given to industrially proper functions. providing effects for either vector-systems and micro-processor established platforms the publication permits to match functionality degrees and value of numerous supercomputer architectures. within the mild of the luck of the japanese Earth-Simulator this ebook could function a advisor e-book for a US reaction. The e-book covers the most tools in excessive functionality computing. Its striking ends up in attaining optimum functionality for construction codes are of specific curiosity for either the scientist and the engineer. The ebook comes with a wealth of colored illustrations and tables of results.

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Additional resources for High Performance Computing in Science and Engineering’ 04: Transactions of the High Performance Computing Center Stuttgart (HLRS) 2004

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To check this boundary condition, we simulated Poisseuille-flow between two vertical walls separated by a distance of L, with periodic boundary in the other directions. A gravitational acceleration g was exerted on the fluid. Figure 2 shows the velocity vs. dimensionless distance x/L from the left wall. The solid line corresponds to the expected profile: As one can see, the agreement between theory and simulation is excellent, validating the linkbounce-back boundary conditions, at least for fiat surfaces.

Be calculated at particle positions. To m a p between these two domains, a tent function f{x) is used: ^ ^^'-^^ ^ ''^ ^ [0 V l < \x/l\ where / is the grid constant used for the discretization of the gas simulation, f3 the parameter to be mapped and i the summation index over either all particles or all grid nodes depending which direction of mapping is required. The result of this mapping is a linear interpolation of the parameters transfered to the particle simulation and a smoothing of the average particle velocity and density provided to the gas simulation.

These parameters lead to a density contrast rj of 5 • 10~^, a Mach number of ~ 60 in the nozzle and a mass loss rate of ^ 10-^ Mo y r - ^ Repeatedly each seventh day, the velocity and density values in the nozzle are changed to simulate the jet pulses which are seen in the observations of M W C 560. They were choosen to 2 x the normal value and 1/4 x the normal value, respectively. The run took 2000 accumulated C P U hours on the N E C SX-5 with 8 processors and about 900 M F L O P S per processor.

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