Implementation of a Lattice Boltzmann kernel using the Compute Unified Device Architecture developed by nVIDIA

Regular article

Abstract

In this article a very efficient implementation of a 2D-Lattice Boltzmann kernel using the Compute Unified Device Architecture (CUDA™) interface developed by nVIDIA® is presented. By exploiting the explicit parallelism exposed in the graphics hardware we obtain more than one order in performance gain compared to standard CPUs. A non-trivial example, the flow through a generic porous medium, shows the performance of the implementation.

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Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  1. 1.Institute for computer based modeling in civil engineeringBraunschweigGermany

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