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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).

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