A Parallel Software-Platform for Solving Problems of Partial Differential Equations using Unstructured Grids and Adaptive Multigrid Methods

Peter Bastian, Klaus Birken, Klaus Johannsen, Stefan Lang, Volker Reichenberger, Christian Wieners, Gabriel Wittum and Christian Wrobel
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Peter Bastian: Universität Stuttgart, Institut für Computeranwendungen III
Klaus Birken: Universität Stuttgart, Institut für Computeranwendungen III
Klaus Johannsen: Universität Stuttgart, Institut für Computeranwendungen III
Stefan Lang: Universität Stuttgart, Institut für Computeranwendungen III
Volker Reichenberger: Universität Stuttgart, Institut für Computeranwendungen III
Christian Wieners: Universität Stuttgart, Institut für Computeranwendungen III
Gabriel Wittum: Universität Stuttgart, Institut für Computeranwendungen III
Christian Wrobel: Universität Stuttgart, Institut für Computeranwendungen III

A chapter in High Performance Computing in Science and Engineering ’98, 1999, pp 326-339 from Springer

Abstract: Abstract The goal of this work is the development of a parallel software-platform for solving partial differential equation problems. State-of-the-art numerical methods have been developed and implemented for the efficient and comfortable solution of real-world application problems. Emphasis is laid on the following topics: distributed unstructured grids, adaptive grid refinement, derefinement/coarsening, robust parallel multigrid methods, various FE and FV discretizations, dynamic load balancing, mapping and grid partitioning. Some important application examples will be presented including structural mechanics, two-phase flow in porous media, Navier-Stokes problems (CFD) and density-driven groundwater flow.

Keywords: Parallel Performance; Multigrid Method; Unstructured Grid; Morley Element; Total Solution Time (search for similar items in EconPapers)
Date: 1999
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-58600-2_31

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DOI: 10.1007/978-3-642-58600-2_31

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