Abstract
In Lagrangian models, trajectories of particles are generated to describe turbulent dispersion. The parallel implementation of such a model appears to be straightforward by distributing the particles over the processors. The model itself is fully parallel, but communicating the results to the outside world leads to a parallel output problem. We discuss different implementation methods of this model on message passing machines. In this paper we show performance characteristics of the different implementations on a Parsytec GCel-512 and a PowerXplorer-32.
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© 1996 Springer-Verlag Berlin Heidelberg
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Crone, L.G.C., van Dop, H., Lourens, W. (1996). Parallel implementation of a Lagrangian stochastic particle model of turbulent dispersion in fluids. In: Dongarra, J., Madsen, K., Waśniewski, J. (eds) Applied Parallel Computing Computations in Physics, Chemistry and Engineering Science. PARA 1995. Lecture Notes in Computer Science, vol 1041. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60902-4_14
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DOI: https://doi.org/10.1007/3-540-60902-4_14
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Online ISBN: 978-3-540-49670-0
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