Title :
Issues in adaptive mesh refinement
Author_Institution :
High Performance Comput. Div., Los Alamos Nat. Lab., Los Alamos, NM, USA
Abstract :
In this paper, we present an approach for a patch-based adaptive mesh refinement (AMR) for multi-physics simulations. The approach consists of clustering, symmetry preserving, mesh continuity, flux correction, communications, management of patches, and dynamical load balance. Among the special features of this patch-based AMR are symmetry preserving, efficiency of refinement, special implementation of flux correction, and patch management in parallel computing environments. Here, higher efficiency of refinement means less unnecessarily refined cells for a given set of cells to be refined. To demonstrate the capability of the AMR framework, hydrodynamics simulations with many levels of refinement are shown in both two- and three-dimensions.
Keywords :
hydrodynamics; mesh generation; parallel processing; pattern clustering; physics computing; symmetry; adaptive mesh refinement; flux correction; hydrodynamics simulations; k-means clustering; multi-physics simulations; parallel computing environments; patch management; symmetry preserving; Adaptive mesh refinement; Clustering algorithms; Computational modeling; Environmental management; Fluid dynamics; High performance computing; Hydrodynamics; Laboratories; Parallel processing; Physics; Euler equations; adaptive mesh refinement; compressible fluid dynamics; shock waves;
Conference_Titel :
Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), 2010 IEEE International Symposium on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-6533-0
DOI :
10.1109/IPDPSW.2010.5470758