Numerical Simulation in Science and Engineering

Founded in April, 1992 and financed by the State of Bavaria and the Bavarian Re search Foundation, the Bavarian Consortium for High Performance Scientific Comput ing (FORTWIHR) consists of more than 40 scientists working in the fields of engineer ing sciences, applied mathematics, and computer science at the Technische Universitat Munchen and at the Friedrich-Alexander-Universitat Erlangen-Nurnberg. Its inter disciplinary concept is based on the recognition that the increasing significance of the yet young discipline High Performance Scientific Computing (HPSC) can only be given due consideration if the technical knowledge of the engineer, the numerical methods of the mathematician, and the computers and up to date methods of computer science are all applied equally. Besides the aim to introduce HPSC into the graduate degree program at the universi ties, there is a strong emphasis on cooperation with industry in all areas of research. Direct cooperation and a transfer of knowledge through training courses and confer ences take place in order to ensure the rapid utilization of all results of research. In this spirit, FORTWIHR annually organizes symposiums on High Performance Scientific Computing and Numerical Simulation in Science and Engineering.

Inhalt
On the Necessity of Supporting Research.- Parallel Computer Architectures for Numerical Simulation.- Design Optimization of High Performance Satellites.- Numerical Simulations of Dynamical Ginzburg-Landau Vortices in Superconductivity.- High Performance Scientific Computing and its Application in Solving Engineering Problems.- Computational Fluid Dynamics with FIRE on Massive Parallel Computers.- Distributed Numerical Simulation on Workstation Networks.- European Developments in High Performance Computing A Comparison with Developments in Other OECD Countries.- High-Performance Computing in Fluid Mechanics.- Process Simulation for the Semiconductor Industry.- Numerical Simulation of Crystal Growth Processes.- Quantum Monte Carlo Simulations and Weak-Coupling Approximations for the Three-Band Hubbard Model.- Dynamic Systems Visualization Applied to Flight Mechanics Problems.- Efficient Methods and Parallel Computing in Numerical Fluid Mechanics.