Prof. Ismail Hakki Tuncer, Department of Aerospace Engineering, Middle East Technical University, Ankara, Turkey Title: Wind Potential/Power Estimation Based on Unsteady OpenFOAM Solutions Coupled with WRF Abstract: Current wind power prediction tools mostly employ Computational Fluid Dynamics (CFD) models which … Continue reading →

Théo Jeanneau, TU Kaiserslautern Title: The Smoothed Particles Hydrodynamics method Abstract: In high performance computing, most of the focus is on grid based methods, computed exclusively by CPUs. However, mesh-free method can be a viable alternative depending on the situation, … Continue reading →

Steffen Schotthöfer, TU Kaiserslautern Title: Sensitivity analysis on chaotic dynamical systems Abstract: More scientists and engineers use computer simulations, consequently the sensitivity analysis on the simulated systems is an essential part of that developement. Unfortunately, conventional approaches to compute the … Continue reading →

Kerstin Nicolay, TU Kaiserslautern Title: A Parallel Method for Community Detection in Large Networks Abstract: The analysis of networks on extremely large data sets has become essential in recent research. One main interest is the detection of communities within the … Continue reading →

Anne Schreuder, TU Kaiserslautern Title: Computing Greeks with Adjoint Monte Carlo Abstract: Pricing financial product is very important in the finance industry. Likewise is the computation of their price sensitivities. In this talk we are particular interested in the situation … Continue reading →

Javad Fadaie Ghotbi, Fraunhofer ITWM Title: Parallel Algebraic Multigrid Using GaspiLS Abstract: Solving a linear system of N unknowns with Multigrid methods are optimal because they can solve with O(N) work. This optimality property is crucial for scaling up huge … Continue reading →

Raju Ram, Fraunhofer ITWM Title: Parallel Multilevel ILU Preconditioner to Solve Large Linear System of Equations Abstract: The solution of large sparse linear systems is a ubiquitous problem in chemistry, physics, and engineering applications. Krylov subspace based iterative methods are … Continue reading →

Dr. Stefanie Günther, SciComp Title: Simultaneous Parallel-in-Layer Training for Deep Residual Networks Abstract: Deep residual networks (ResNets) have shown great promise to model complex data relations with applications in image classification, speech recognition, or text processing, among others. Despite the … Continue reading →

Avraam Chatzimichailidis, Fraunhofer ITWM Title: Second Order Methods applied to Deep Neural Networks Abstract: Optimizing deep neural networks involves finding a good enough minimum of a highly nonlinear and nonconvex function. State of the art first order methods suffer from … Continue reading →

The goal of the workshop is to give an overview of recent research activities at SciComp. In addition, collaborators from ITWM and BOSCH will give invited presentations for scientific exchange. Program 9:00-9:45 Avraam Chatzimichailidis (ITWM) 9:45-10:30 Dr. Stefanie Günther (SciComp) … Continue reading →