GPU Accelerated DG-FDF Large Eddy Simulator
ORAL
Abstract
A GPU accelerated simulator is developed and implemented for large eddy simulation (LES) of turbulent flows. The filtered density function (FDF) is utilized for modeling of the subgrid scale quantities. The filtered transport equations are solved via a discontinuous Galerkin (DG) and the FDF is simulated via particle based Lagrangian Monte-Carlo (MC) method. It is demonstrated that the GPUs simulations are of the order of 100 times faster than the CPU-based calculations. This brings LES of turbulent flows to a new level, facilitating efficient simulation of more complex problems.
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Authors
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Medet Inkarbekov
Al-Farabi Kazakh National University
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Aidyn Aitzhan
University of Pittsburgh
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Shervin Sammak
Center for Research Computing, University of Pittsburgh
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Peyman Givi
Univ of Pittsburgh, University of Pittsburgh
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Aidarkhan Kaltayev
Al-Farabi Kazakh National University