Solving 3D incompressible Navier-Stokes equations on hybrid CPU/GPU systems

Abstract : This paper describes a hybrid multicore/GPU solver for the incompressible Navier-Stokes equations with constant coefficients, discretized by the finite difference method. By applying the prediction-projection method, the Navier-Stokes equations are transformed into a combination of Helmholtz- like and Poisson equations for which we describe efficient solvers. As an extension of a previous paper, this paper proposes a new implementation that takes advantage of GPU accelerators. We present numerical experiments on a current hybrid machine.
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Communication dans un congrès
High Performance Computing Symposium (HPC'14), Apr 2014, Tampa, Florida, USA, United States. Association for Computing Machinery, ACM Digital Library, 2014, Proceedings of the High Performance Computing Symposium. 〈http://dl.acm.org/citation.cfm?id=2663510.2663522〉
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Yushan Wang, Marc Baboulin, Karl Rupp, Olivier Le Maitre, Yann Fraigneau. Solving 3D incompressible Navier-Stokes equations on hybrid CPU/GPU systems. High Performance Computing Symposium (HPC'14), Apr 2014, Tampa, Florida, USA, United States. Association for Computing Machinery, ACM Digital Library, 2014, Proceedings of the High Performance Computing Symposium. 〈http://dl.acm.org/citation.cfm?id=2663510.2663522〉. 〈hal-01205305〉

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