PaMPA : Parallel Mesh Partitioning and Adaptation
LACHAT, Cédric
Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
Control, Analysis and Simulations for TOkamak Research [CASTOR]
Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
Control, Analysis and Simulations for TOkamak Research [CASTOR]
PELLEGRINI, François
Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
DOBRZYNSKI, Cecile
Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
Institut de Mathématiques de Bordeaux [IMB]
Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
Institut de Mathématiques de Bordeaux [IMB]
LACHAT, Cédric
Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
Control, Analysis and Simulations for TOkamak Research [CASTOR]
Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
Control, Analysis and Simulations for TOkamak Research [CASTOR]
PELLEGRINI, François
Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
DOBRZYNSKI, Cecile
Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
Institut de Mathématiques de Bordeaux [IMB]
< Reduce
Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
Institut de Mathématiques de Bordeaux [IMB]
Language
en
Communication dans un congrès
This item was published in
DD22 - 22nd International Conference on Domain Decomposition Methods, 2013-09-16, Lugano. 2013-09-17
Abstract
Nous présentons les capacités de remailage parallèle de PaMPA, une bibliothèque dédiée à la manipulation de maillages non structurés distribués sur les processeurs d'une machine parallèle. PaMPA effectue son remaillage ...Read more >
Nous présentons les capacités de remailage parallèle de PaMPA, une bibliothèque dédiée à la manipulation de maillages non structurés distribués sur les processeurs d'une machine parallèle. PaMPA effectue son remaillage parallèle en sélectionnant des sous-ensembles indépendants d'éléments devant être remaillés, et en exécutant un remailleur séquentiel fourni par l'utilisateur (p.ex. MMG3D) sur ces sous-ensembles. Ce processus est répété sur les zones non encore remaillés jusqu'à ce que tout le maillage soit remaillé. Le nouveau maillage est alors repartitionné pour restaurer l'équilibre de la charge. Nous présentons des résultats expérimentaux pour lesquels nous générons des maillages tétraédraux anisotropes de grande qualité, à plusieurs centaines de millions de mailles, à partir de maillages initiaux à quelques millions de mailles.Read less <
English Abstract
We present the parallel remeshing capabilities of PaMPA, a library dedicated to the management of unstructured meshes distributed across the processors of a parallel machine. PaMPA performs parallel remeshing by selecting ...Read more >
We present the parallel remeshing capabilities of PaMPA, a library dedicated to the management of unstructured meshes distributed across the processors of a parallel machine. PaMPA performs parallel remeshing by selecting independent subsets of elements that need remeshing, and running a user-provided sequential remesher (e.g. MMG3D) on these subsets. This process is repeated on yet un-remeshed areas until all of the mesh is remeshed. The new mesh is then repartitioned to restore load balance. We present experimental results where we generate high quality, anisotropic tetrahedral meshes comprising several hundred million elements from initial meshes of several million elements.Read less <
English Keywords
mesh
unstructured
distributed
parallel
remeshing
Origin
Hal imported