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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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https://hal.inria.fr/hal-01205305
Contributor : Marc Baboulin <>
Submitted on : Friday, September 25, 2015 - 11:53:56 AM
Last modification on : Wednesday, December 9, 2020 - 3:09:24 PM
Long-term archiving on: : Tuesday, December 29, 2015 - 10:01:15 AM

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  • HAL Id : hal-01205305, version 1

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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), Spring Simulation Multiconference, Apr 2014, Tampa, Florida, USA, United States. ⟨hal-01205305⟩

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