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GPU-Accelerated Large-Eddy Simulation of Turbulent Channel Flows

Rey DeLeon, Inanc Senocak
Boise State University
50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition, 1-13, 2012

@article{deleon2012gpu,

   title={GPU-Accelerated Large-Eddy Simulation of Turbulent Channel Flows},

   author={DeLeon, R. and Senocak, I.},

   year={2012}

}

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High performance computing clusters that are augmented with cost and power efficient graphics processing unit (GPU) provide new opportunities to broaden the use of large-eddy simulation technique to study high Reynolds number turbulent flows in fluids engineering applications. In this paper, we extend our earlier work on multi-GPU acceleration of an incompressible Navier-Stokes solver to include a large-eddy simulation (LES) capability. In particular, we implement the Lagrangian dynamic subgrid scale model and compare our results against existing direct numerical simulation (DNS) data of a turbulent channel flow at ReT = 180. Overall, our LES results match fairly well with the DNS data. Our results show that the ReT = 180 case can be entirely simulated on a single GPU, whereas higher Reynolds cases can benefit from a GPU cluster.
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