Available courses

Policy is the art of achieving a desired outcome in the presence of constraints and differing priorities.

Policy is largely a coordination problem. Here data and models can help. The Ebola outbreak in West Africa did not spread worldwide because science-based policies were implemented, replacing ineffective policies such as restricting movement by closing borders.


The focus is on iterative and parallel solvers, the parallel programming models MPI and OpenMP, and the parallel middleware PETSc. Thereby, different modern Krylov Subspace Methods (CG, GMRES, BiCGSTAB ...) as well as highly efficient preconditioning techniques are presented in the context of real life applications. Hands-on sessions (in C and Fortran) will allow users to immediately test and understand the basic constructs of iterative solvers, the Message Passing Interface (MPI) and the shared memory directives of OpenMP. This course provides scientific training in Computational Science, and in addition, the scientific exchange of the participants among themselves. It is organized by HLRS, IAG, Uni. Kassel, and SFB/TRR30.


/www.hlrs.de/training/2017-03-27-iter-s/

This two day course is targeted at researchers with basic knowledge in numerical simulation, who would like to learn how to visualize their simulation results on the desktop but also in Augmented Reality and Virtual Environments. It will start with a short overview of scientific visualization, following a hands-on introduction to 3D desktop visualization with COVISE. On the second day, we will discuss how to build interactive 3D Models for Virtual Environments and how to set up an Augmented Reality visualization. This course provides scientific training in Computational Science, and in addition, the scientific exchange of the participants among themselves.