Location: Aula, room 2; digital participation (link shared via e-mail) Matthias Mayr (UniBw M): Sustainable development of multi-level block preconditioners in Trilinos/MueLu In this talk, we will summarize our developments of scalable multi-level block-preconditioning methods in the framework of Trilinos/MueLu for the efficient solution of multi-physics phenomena. The simulation of…

Location: H1, room 205; digital participation (link shared via e-mail) Andreas Fink (HSU): HPC for Solving Combinatorial Optimization Problems in Logistics: Challenges and Examples While HPC is established in engineering and science, this is not yet the case for solving NP-hard combinatorial optimization problems in business administration (e.g. in logistics).…

Location: H1, Hörsaal 3; digital participation (link shared via e-mail) Speakers: Thomas Döbbert and Martin Holters Title: Digital sensor-2-cloud campus platform Abstract: Wireless networks support highly flexible manufacturing processes towards the digitization of industrial production (automation). 5G is currently being marketed as universal solution for future wireless communication. However, also…

Location: H1, Hörsaal 3; digital participation (link shared via e-mail) Speaker: Derek Groen from Brunel University London. Derek is a lecturer in simulation and modeling, and his research is interdisciplinary, focusing primarily on multiscale modelling and high-performance computing for various applications. Title: Multiscale Migration Modelling using Supercomputers: enabling agent-based modelling…

Location: H1, Hörsaal 3; digital participation (link shared via e-mail) "Infrastructure Information Modelling: Workflow for an overall model infrastructure embedded in spatial base data" Jens Bartnitzek (A+S Consult GmbH) Infrastructure Information Modelling is an approach which requires rethinking in the sense of cultural shift towards a systematic and partnership-based approach…

Location: H1, Hörsaal 3; digital participation (link shared via e-mail) 15:00-15:30 Yannis Schumann (HSU): Data-driven Inference of Stencils for Discrete Differential Operators Partial differential equations (PDEs) are extensively used across scientific disciplines for modeling and describing various processes under consideration. Finite element, finite difference or similar methods allow to numerically…