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• W770215984 abstract "The recent resurgence of interest in rarefied gas dynamics has spawned new research activity in the field of direct particle simulation. An outcome of this activity has been the Stanford particle simulation (SPS) method which was developed to make the most efficient use of supercomputer architectures. It is largely accepted that future improvements in supercomputing performance will be in the direction of increased parallelism, and massively parallel architectures represent the research frontier in this direction. The purpose of the current work has been to investigate the suitability of this architecture, and the Connection Machine in particular, for the direct particle simulation of rarefied gas dynamic flows.This work examines the algorithmic structure of the vectorizable SPS method and re-formulates the structure in a manner suitable for data parallel implementation. Some of the SPS algorithms can be directly translated to data parallel form, but several of the vectorizable algorithms have no direct data parallel equivalent, and thus predicate the development of new, strictly data parallel algorithms. In particular, this work develops new sorting algorithms to identify collision candidates in the simulation and a master/slave algorithm to minimize communication cost in large table look up.Validation of the method is undertaken through test calculations for thermal relaxation of a gas, shock wave profiles, and shock reflection from a stationary wall. This last calculation highlights some of the difficulties and inadequacies associated with direct particle simulation, especially as the continuum limit is approached. In addition to these test calculations, a large scale two dimensional simulation for the flow about a double ellipse geometry is presented and compared to the results for same calculation performed with the fully vectorized SPS method on the Cray 2.An important result of this investigation is a quantitative measure of the performance of the Connection Machine for direct particle simulation. From this result it is possible to conclude that the massively parallel architecture of the Connection Machine is quite suitable for this type of calculation. However, there are difficulties in taking full advantage of this architecture because of the lack of a broad based tradition of data parallel programming. An important outcome of this work is new data parallel algorithms specifically of use for direct particle simulation but which also expand the data parallel diction." @default.
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• W770215984 date "1990-01-01" @default.
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• W770215984 title "On the suitability of the connection machine for direct particle simulation" @default.
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