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Multigrid by agglomeration for the acceleration of compressible flow calculations on unstructured meshes : Parallel computing issues and industrial applications

  • G. Carré
  • L. Fournier
  • S. Lanteri
Numerical Methods Communications
Part of the Lecture Notes in Physics book series (LNP, volume 515)

Abstract

We describe ongoing research activities at Inria Sophia Antipolis aiming at the construction of efficient and robust unstructured multigrid solvers for complex 2D and 3D flow simulations.

Key Words

Unstructured meshes Parallel multigrid methods 

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References

  1. Carre G., An implicit multigrid method by agglomeration applied to turbulent flows, Computers & Fluids, 26, 299–320, (1997).MATHCrossRefGoogle Scholar
  2. Chargy D., N3S-NATUR V1. 2 reference and user manuals, Simulog, (1998).Google Scholar
  3. Lallemand M.-H. and Steve H. and Dervieux A., Unstructured multigridding by volume agglomeration: current status, Computers & Fluids, 21, 397–433, (1992).MATHCrossRefADSGoogle Scholar
  4. Koobus B. and Lallemand M.-H. and Dervieux A., Unstructured volume-agglomeration MG: solution of the Poisson equation, Int. J. Numer. Fluids, 18, 27–42, (1994).MATHCrossRefMathSciNetGoogle Scholar
  5. Lanteri S. and Loriot M., Large-Scale Solutions of Three-Dimensional Compressible Flows Using the Parallel N3S-MUSCL Solver, Concurrency, Pract. Exp., 8, 769–798, (1996).CrossRefGoogle Scholar
  6. Mavriplis D.-J. and Jameson A., Multigrid solution of the two-dimensional Euler equations on unstructured meshes, AIAA paper 87-0353 (1987).Google Scholar
  7. Mavriplis D.-J. and Venkatakrishnan V., Agglomeration multigrid fot two-dimensional viscous flows, J. Comput. Phys., 24, 553–570, (1995).MATHGoogle Scholar

Copyright information

© Springer-Verlag 1998

Authors and Affiliations

  • G. Carré
    • 1
  • L. Fournier
    • 1
  • S. Lanteri
    • 1
  1. 1.Inria, Projet SinusSophia Antipolis Cedex

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