DMCA
Parallelizing Solid Particles in Lattice-Boltzmann Fluid Dynamics
BibTeX
@MISC{Wolffe_parallelizingsolid,
author = {Gregory Wolffe and John Oleszkiewicz and David Cherba},
title = {Parallelizing Solid Particles in Lattice-Boltzmann Fluid Dynamics},
year = {}
}
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Abstract
Abstract Computational fluid dynamics (CFD) is a widely used numerical method for simulating complex systems, with applications ranging from aerodynamic science to hydrology. The lattice-Boltzmann method is a relatively recent technique that has been shown to be as accurate as traditional CFD methods, but with the ability to integrate arbitrarily complex geometries at a reduced computational cost. Although fluid flow in the lattice-Boltzmann method is easily parallelized, this is not true of the specific problem of modeling solid particles suspended in a fluid. The data structures representing solid particles and the interactions required to communicate information about them constitute time-consuming and serial portions of the simulation. In this paper, we describe a parallel implementation of the lattice Boltzmann method that incorporates new data structures and a modification to the basic algorithm. The goal of these modifications is to enable strictly local, hence parallel, computations on solid particles and reduced communication overhead.
Keyphrases
solid particle lattice-boltzmann fluid dynamic lattice-boltzmann method data structure parallel implementation abstract computational fluid dynamic reduced communication overhead reduced computational cost complex system lattice boltzmann method fluid flow recent technique traditional cfd method serial portion new data structure aerodynamic science complex geometry basic algorithm specific problem numerical method
