16 citations · 25 across the 5 of their papers we have counts for
5 papers
A full software stack for epidemic disease management: Unlocking the joint potential of software technology and supercomputing
Jonas Gilg, Johann Fredrik Jadebeck, Mariama Jaiteh +22
Infectious diseases remain a major threat to human societies. During the recent COVID-19 pandemic, mathematical modeling and extensive computer simulations proved highly effective…
Deciphering boundary layer dynamics in high-Rayleigh-number convection using 3360 GPUs and a high-scaling in-situ workflow
Mathis Bode, Damian Alvarez, Paul Fischer +10
Turbulent heat and momentum transfer processes due to thermal convection cover many scales and are of great importance for several natural and technical flows. One consequence is t…
Towards prediction of turbulent flows at high Reynolds numbers using high performance computing data and deep learning
Mathis Bode, Michael Gauding, Jens Henrik Göbbert +3
In this paper, deep learning (DL) methods are evaluated in the context of turbulent flows. Various generative adversarial networks (GANs) are discussed with respect to their suitab…
Towards Large-Scale Rendering of Simulated Crops for Synthetic Ground Truth Generation on Modular Supercomputers
Dirk Norbert Helmrich, Jens Henrik Göbbert, Mona Giraud +3
Computer Vision problems deal with the semantic extraction of information from camera images. Especially for field crop images, the underlying problems are hard to label and even h…
On the self-similarity of line segments in decaying homogeneous isotropic turbulence
Michael Gauding, Lipo Wang, Jens Henrik Goebbert +3
The self-similarity of a passive scalar in homogeneous isotropic decaying turbulence is investigated by the method of line segments (M. Gauding et al., Physics of Fluids 27.9 (2015…