Computational Science and High Performance Computing II

Prof. em. Prof. h.c. Egon Krause war Direktor am Aerodynamischen Institut der RWTH Aachen und lehrte hier Strömungslehre.

Breakdown of compressible slender vortices.- Construction of monotonic schemes on the basis of method of differential approximation.- Industrial and scientific frameworks for computational science and engineering.- Parallel numerical modelling of gas-dynamic processes in airbag combustion chamber.- The parallel realization of the finite element method for the Navier-Stokes equations for a viscous heat conducting gas.- On solution of Navier-Stokes auxiliary grid equations for incompressible fluids.- An efficient implementation of an adaptive and parallel grid in DUNE.- Operational DWD numerical forecasts as input to flood forecasting models.- Robustness and efficiency aspects for computational fluid structure interaction.- The computational aspects of General Relativity.- Arbitrary high order finite volume schemes for linear wave propagation.- Numerical simulation and optimization of fiber optical lines with dispersion management.- Parallel applications on large scale systems: getting insights.- Convergence of the method of integral equations for quasi three-dimensional problem of electrical sounding.- Sustaining performance in future vector processors.- Image fusion and registration - a variational approach.- The analysis of behaviour of multilayered nodoid shells on the basis of non-classical theory.- On the part load vortex in draft tubes of hydro electric power plants.- Computational infrastructure for parallel processing spatially distributed data.- Particle methods in powder technology.- Tangible interfaces for interactive flow simulation.- Using information theory approach to randomness testing.- Optimizing performance on modern HPC systems: learning from simple kernel benchmarks.- Dynamic Virtual Organizations in engineering.- Algorithm performance dependent onhardware architecture.- A tool for complex parameter studies in grid environments: SGM-Lab.- Lattice Boltzmann predictions of turbulent channel flows with turbulence promoters.