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A parallel solver for incompressible fluid flows

Yushan Wang 1 Marc Baboulin 2, 1 Jack Dongarra 3 Joel Falcou 1 Yann Fraigneau 4 Olivier Le Maitre 4
1 ParSys - LRI - Systèmes parallèles (LRI)
LRI - Laboratoire de Recherche en Informatique
2 GRAND-LARGE - Global parallel and distributed computing
CNRS - Centre National de la Recherche Scientifique : UMR8623, Inria Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, LIFL - Laboratoire d'Informatique Fondamentale de Lille, LRI - Laboratoire de Recherche en Informatique
Abstract : The Navier-Stokes equations describe a large class of fluid flows but are difficult to solve analytically because of their nonlinearity. We present in this paper a parallel solver for the 3-D Navier-Stokes equations of incompressible unsteady flows with constant coefficients, discretized by the finite difference method. We apply the prediction-projection method which transforms the Navier-Stokes equations into three Helmholtz equations and one Poisson equation. For each Helmholtz system, we apply the Alternating Direction Implicit (ADI) method resulting in three tridiagonal systems. The Poisson equation is solved using partial diagonalization which transforms the Laplacian operator into a tridiagonal one. We describe an implementation based on MPI where the computations are performed on each subdomain and information is exchanged on the interfaces, and where the tridiagonal system solutions are accelerated using vectorization techniques. We present performance results on a current multicore system.
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https://hal.inria.fr/hal-00915356
Contributor : Marc Baboulin <>
Submitted on : Saturday, December 7, 2013 - 3:42:03 PM
Last modification on : Thursday, July 8, 2021 - 3:47:00 AM

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Yushan Wang, Marc Baboulin, Jack Dongarra, Joel Falcou, Yann Fraigneau, et al.. A parallel solver for incompressible fluid flows. International Conference on Computational Science, Jun 2013, Barcelona, Spain. ⟨10.1016/j.procs.2013.05.207⟩. ⟨hal-00915356⟩

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