Institut für Parallele und Verteilte Systeme - Universität Stuttgart
Institut für Parallele und Verteilte Systeme - Universität Stuttgart
Institut für Parallele und Verteilte Systeme - Universität Stuttgart
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30<br />
2.4 Simulation of Large Systems<br />
<strong>Universität</strong> <strong>Stuttgart</strong> - IPVS<br />
Simulation großer <strong>Systeme</strong><br />
<strong>Universität</strong>sstraße 38<br />
70569 <strong>Stuttgart</strong><br />
Germany<br />
Research Focus<br />
Prof. Dr. rer. nat. Marc Alexander Schweitzer<br />
� Marc.Alexander.Schweitzer<br />
@ipvs.uni-stuttgart.de<br />
� +49-711-7816465<br />
� +49-711-7816248<br />
Prof. Marc Alexander Schweitzer, from the <strong>Institut</strong>e for Numerical Simulation at University<br />
of Bonn, accepted in early 2010 the position of head of chair and started in<br />
May. Prof. Schweitzer’s research focus has been on mesh-free methods for the solution<br />
of partial diff erential equations, multilevel and algebraic multigrid methods, as well as<br />
on parallelization and effi cient algorithms for simulation problems.<br />
Jun.-Prof. Michael Bader, formerly at the Department of Informatics at Technische<br />
<strong>Universität</strong> München, started as a SimTech Juniorprofessor in December 2009.<br />
He leads a young researcher’s group on Simulation Soft ware Engineering. His research<br />
focus is on effi cient algorithms in numerical simulation, especially on effi cient approaches<br />
for parallel adaptive mesh refi nement.<br />
Research Projects<br />
www.ipvs.uni-stuttgart.de/abteilungen/sgs/forschung/projekte<br />
SRC: SimTech - Recursively Structured Triangular and Tetrahedral<br />
Grids for Dynamically Adaptive Simulations in DUNE<br />
Personnel: M. Bader, K. Rahnema<br />
F<strong>und</strong>ed by: Deutsche Forschungsgemeinschaft (DFG)<br />
Duration: 1.2.2010 – 31.1.2013<br />
Th e project is embedded in the Cluster of Excellence “Simulation Technology” (Sim-<br />
Tech), and integrated in SimTech’s research network on multi-physics simulation. Th e<br />
goal is to integrate an existing approach for dynamically adaptive grid generation and<br />
grid based numerical simulation into the problem solving environment DUNE. Demonstrator<br />
applications will be chosen from porous media fl ow (in the context of CO2<br />
sequestration) and oceanic wave propagation (Tsunami simulation).