GPU-Accelerated Large-Eddy Simulation of Turbulent Channel Flows

Authors

Rey DeLeon, Boise State University
Inanc Senocak, Boise State UniversityFollow

Document Type

Conference Proceeding

Publication Date

1-9-2012

Abstract

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 Re_τ = 180. Overall, our LES results match fairly well with the DNS data. Our results show that the Re_τ = 180 case can be entirely simulated on a single GPU, whereas higher Reynolds cases can benefit from a GPU cluster.

Copyright Statement

This document was originally published by American Institute of Aeronautics and Astronautics (AIAA) in 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. Copyright restrictions may apply. http://www.aiaa.org/

Publication Information

DeLeon, Rey and Senocak, Inanc. (2012). "GPU-Accelerated Large-Eddy Simulation of Turbulent Channel Flows". 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition, 1-13.