Explore projects

Interactive exploration and analysis of large amounts of data from scientific simulations, in-situ visualization and application control are convincing scenarios for explorative sciences. Based on the open source software JupyterLab, a way has been a

Wiki for material and resources, Deep Learning for COVID XRay detection

PRACE Workshop - Interactive High-Performance Computing with Jupyter

Team1 Counting Leaf!

Software-engineering aspects of composed Earth System Models ---Performance analysis and GPU programming (CUDA, OpenACC, OpenMP, kokkos) ---

High-level Fortran and C wrappers for D.E.Shaw Research's random123

method to define and switch between multiple desktop profiles

Portable "minimal" Emacs configuration. Works on Linux and Mac.

Framework for the Pre-processing of fire simulation results for JPScore

Hello World for CUDA