Michael Bader - Forschung/Research

Current Research Topics:

• Efficient algorithms and software in computational science and engineering
• Hierarchically structured numerical algorithms and their parallelization
• Efficient storage and processing of adaptive grids using Sierpinski curves
• Partitioning and load balancing based on space-filling curves
• On the use of block recursive approaches based on Peano's curve to efficiently implement matrix operations

Current Projects:

• ASCETE - Advanced Simulation of Coupled Earthquake and Tsunami Events (2012-2015, funded by the Volkswagen Stiftung)
• Within the SFB/TRR 89 "Invasive Computing", sub-project D3: "Multilevel Approaches and Adaptivity in Scientific Computing" (2010-2014, as associated member)
• Munich Centre of Advanced Computing (2008-2012)

Previous Research Topics:

• Development of efficient solvers for partial differential equations using recursive substructuring techniques
• Development of multigrid methods for convection dominated flows
• Using hierarchical bases for the numerical solution of helmholtz equations

Previous Projects:

• SimTech project "Recursively Structured Triangular and Tetrahedral Grids for Dynamically Adaptive Simulations in DUNE" (2010-2013)
• SimTech project "Adaptive Modelling and Multilevel Solvers for Convective Transport in Porous Media" (2010-2011)
• BMBF project "Hochskalierbare Eigenwert-Löser für Petaflop-Großanwendungen" (Highly scalable eigenvalue solvers for petaflop applications), (2008-2012)
• IGSSE project I-8: Hardware-aware simulation and computing (2007-2010)