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Issue No.01 - Jan.-Feb. (2013 vol.15)
pp: 26-33
Rey DeLeon , Boise State University, Boise
Dana Jacobsen , Boise State University, Boise
Inanc Senocak , Boise STate University, Boise
ABSTRACT
A dual-level parallel incompressible flow solver accelerates turbulent flow computations on GPU clusters. This approach solves the pressure Poisson equation with a full-depth, amalgamated parallel geometric multigrid method, and implements a Lagrangian dynamic model for subgrid-scale turbulence modeling.
INDEX TERMS
Mathematical model, Graphics processing unit, Computational modeling, Equations, Numerical models, Jacobian matrices, Computational fluid dynamics, turbulence, computational fluid dynamics, CUDA, GPU, MPI, parallel scientific computing
CITATION
Rey DeLeon, Dana Jacobsen, Inanc Senocak, "Large-Eddy Simulations of Turbulent Incompressible Flows on GPU Clusters", Computing in Science & Engineering, vol.15, no. 1, pp. 26-33, Jan.-Feb. 2013, doi:10.1109/MCSE.2012.37
REFERENCES
1. J.D. Owens et al., “GPU Computing,” Proc. IEEE, vol. 96, no. 5, 2008, pp. 879–899.
2. S.B. Pope, Turbulent Flows, Cambridge Univ. Press, 2000.
3. H. Versteeg and W. Malalasekera, An Introduction to Computational Fluid Dynamics: The Finite Volume Method. 2nd ed., Prentice Hall, 2007.
4. M. Lesieur, O. Métais, and P. Comte, Large-Eddy Simulations of Turbulence, Cambridge Univ. Press, 2005.
5. J.C. Thibault and I. Senocak, “Accelerating Incompressible Flow Computations with a Pthreads-CUDA Implementation on Small-Footprint Multi-GPU Platforms,” The J. Supercomputing, vol. 59, no. 2, 2012, pp. 693–719.
6. D.A. Jacobsen, J.C. Thibault, and I. Senocak, “An MPI-CUDA Implementation for Massively Parallel Incompressible Flow Computations on Multi-GPU Clusters,” Proc. 48th AIAA Aerospace Sciences Meeting, Am. Inst. Aeronautics and Astronautics (AIAA), 2010; http://works.bepress.com/inanc_senocak3/.
7. M. Griebel, T. Dornseifer, and T. Neunhoeffer, Numerical Simulation in Fluid Dynamics: A Practical Introduction, Soc. for Industrial and Applied Mathematics, 1997.
8. A.J. Chorin, “Numerical Solution of the Navier-Stokes Equations,” Mathematics of Computation, vol. 22, no. 104, 1968, pp. 745–762.
9. D.A. Jacobsen and I. Senocak, “A Full-Depth Amalgamated Parallel 3D Geometric Multigrid Solver for GPU Clusters,” Proc. 49th AIAA Aerospace Sciences Meeting, AIAA, 2011; http://works.bepress.com/inanc_senocak9/.
10. C. Meneveau, T. Lund, and W. Cabot, “A Lagrangian Dynamic Subgrid-Scale Model of Turbulence,” J. Fluid Mechanics, vol. 319, 1996, pp. 353–385.
11. D.A. Jacobsen and I. Senocak, “Scalability of Incompressible Flow Computations on Multi-GPU Clusters Using Dual-Level and Tri-Level Parallelism,” Proc. 49th AIAA Aerospace Sciences Meeting, AIAA, 2011; http://works.bepress.com/inanc_senocak8/.
12. R.D. Moser, J. Kim, and N.N. Mansour, “Direct Numerical Simulation of Turbulent Channel Flow up to Reτ = 590,” Physics of Fluids, vol. 11, no. 4, 1999, pp. 943–945.
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