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OpenMP optimisation of a parallel MPI CFD code
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BibTeX
@MISC{Mathey_openmpoptimisation,
author = {Fabrice Mathey and Philippe Blaise and Philippe Kloos},
title = {OpenMP optimisation of a parallel MPI CFD code},
year = {}
}
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Abstract
Introduction Despite the progress in numerical algorithm and computer power, reliable CFD prediction of complex flows as turbulent flows is still a challenge. Nu- merical turbulent prediction (Large Eddy Simulation, see [7] for more details) computes the three-dimensional, unsteady turbulent flow directly by use of the Navier-Stokes equations, with a model utilized only for the small scales of motion that are unresolved by the computational mesh (subgrid-scale model). The application of LES to industrial flows is highly attractive as the present increase in computing power of computers brings the necessary computational res-sources within the reach of industrial research and design groups. However, many situations still require High-Performance Computers. This requirement is due to the use of fine meshes with a huge number of points. A typical simulation the requires around 106 to 107 grid points. In turn, this implies a small size of the time step, increasing the number of iterations
Keyphrases
openmp optimisation parallel mpi cfd code large eddy simulation industrial flow numerical algorithm computational mesh nu merical turbulent prediction computer power design group navier-stokes equation necessary computational res-sources grid point many situation time step industrial research subgrid-scale model fine mesh complex flow high-performance computer unsteady turbulent flow typical simulation huge number reliable cfd prediction small scale present increase small size
