首页 > FoSCA > FoSCA-2016 > 第11期:2016年10月21日,Prof. Gabriel Wittum
第11期:2016年10月21日,Prof. Gabriel Wittum
发布时间:2016-10-19 18:59:15

题    目:Parallel Adaptive Multigrid Methods and Applications

报告人:Prof. Gabriel Wittum

              Goethe Center for Scientific Computing(G-CSC), Goethe University Frankfurt

时  间:2016年10月21日(周五)下午4:00

地  点:软件中心309报告厅

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Dr. Gabriel Wittum is a professor for modeling and simulation of Goethe University Frankfurt, and director of Goether Center for Scientific Computing. His research interests including computational methods, numerical algorithms, and software tools for scientific applications. He is the leader of the software systems UG, which is a flexible software toolbox for solving partial differential equations. It’s widely used in scientific computing community.

报告内容简介:

Numerical simulation has become one of the major topics in Computational Science. To promote modelling and simulation of complex problems new strategies are needed allowing for the solution of large, complex model systems. Crucial issues for such strategies are reliability, efficiency, robustness, usability, and versatility. After discussing the needs of large-scale simulation we point out basic simulation strategies such as adaptivity, parallelism and multigrid solvers. To allow adaptive, parallel computations the load balancing problem for dynamically changing grids has to be solved efficiently by fast heuristics. These strategies are combined in the simulation system UG (“Unstructured Grids”) being presented in the following. In the second part of the seminar we show the performance and efficiency of this strategy in various applications. In particular, arge scale parallel computations of density-driven groundwater flow in heterogenous porous media are discussed in more detail. Load balancing and efficiency of parallel adaptive computations is discussed and the benefit of combining parallelism and adaptivity is shown.


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