Computational Science, Mathematical Methods and Algorithms
Computer simulations have become an indispensable tool in many areas of research. The activities aim at simultaneously satisfying the increasing demand for more precise theoretical models, the need for application codes which can efficiently make use of the hardware of current high-performance computers as well as to exploit the opportunities arising from the use of a grid infrastructure. Disciplinary research in the areas of computational biology and biophysics, complex atomistic modelling and simulation, lattice quantum chromodynamics and quantum information theory is supplemented by research in applied mathematics and computer science. The latter includes the development and optimization of efficient numerical, stochastic and non-numerical algorithms of strategic importance along with performance modelling, visualization and cluster computing.
Simulation Laboratories Simulation Laboratory Biology Simulation Laboratory Plasma Physics Simulation Laboratory Complex Molecular Systems Simulation Laboratory Climate Science
Cross-Disciplinary Research Mathematical Methods and Algorithms Performance Analysis Visualisation, Virtual Reality Techniques Cluster Computing Research Groups Research Group "Quantum Information Processing" HGF Research Group "Performance Analysis of Parallel Programs" Software on the supercomputerslast change 02.03.2011 | Sabine Höfler-Thierfeldt | Print