2nd MaRDI Workshop on Scientific Computing

Session

Invited

IP

16 Oct 2024, 14:30

Main/groundfloor-V0.05/2+3 - Prigogine (Max Planck Institute for Dynamics of Complex Technical Systems)

Conveners

Invited

• Peter Benner

Invited

• Frank Wübbeling (University of Münster)

Invited

• Jens Saak (Max Planck Institute for Dynamics of Complex Technical Systems)

Invited

• Stephan Rave

Invited

• Mario Ohlberger (University of Münster)

Invited

• Pavan L. Veluvali (Max Planck Institute for Dynamics of Complex Technical Systems)

Invited

• Jan Heiland

20. preCICE: a FAIR coupling tool generating FAIR simulation results

Miriam Schulte (Uni Stuttgart)

16/10/2024, 14:30

Talk

preCICE is a numerical coupling library for partitioned multi-physics simulations with more than 200 users. It is fully open source and used for applicatiom as divers as
coupling reinforment learning with training data generating, various types of surface coupling such as fluid-structure interacions, and multi-scale simulations. It is not only
a library, but equipped with a whole ecosystem...

7. UM-Bridge: Enabling complex scientific applications

Anne Reinarz (Durham University)

16/10/2024, 16:00

Talk

Treating uncertainties in models is essential in many fields of science and engineering. When dealing with complex and computationally costly numerical models this necessitates a combination of efficient model solvers, advanced UQ methods and HPC-scale resources. The resulting technical complexities and software engineering challenges are holding back adoption of UQ methods in many fields. I...

5. Reusability and Reproducibility Challenges in Commercial Software Development at Scale

Manuel Baumann (Dassault Systèmes Deutschland GmbH)

17/10/2024, 09:00

Talk

CST Studio Suite is a high-performance 3D EM analysis software package for designing, analyzing and optimizing electromagnetic (EM) components and systems. Its mathematical foundation dates back to the 1970s when the so-called Finite Integration Technique (FIT) was developed that is still the basis of CST's time-domain solver.

Nowadays, CST is a part of the multi-physics simulator SIMULIA...

3. RDM within CRC/TR 287 BULK-REACTION

Dominique Thévenin (Otto von Guericke University Magdeburg)

17/10/2024, 11:00

Talk

Research in engineering science is characterised by inter- and multi-disciplinarity. This leads to a strong heterogeneity of resulting research data, in particular when experimental as well as numerical investigations are performed collaboratively. The systematic and documented storage and archiving of this data are of fundamental importance. It provides the basis for the objective...

8. Benchmarking for the UK Exascale programme

Garth Wells (University of Cambridge)

17/10/2024, 13:00

Talk

Procurements of high-performance computers usually involve benchmarking. Benchmarking is the element in a procurement where the fitness of a computer for its intended research uses is assessed by actual tests. Designing and defining these tests to be representative, fair and robust is not trivial and requires specific skills and is helped by experience. The 'return on investment' of good...

11. Cloud-Optimized Data and Dynamic Analysis Tools for Earth System Science

Markus Reichstein (Max-Planck-Institute for Biogeochemistry)

17/10/2024, 15:30

Talk

Earth system science examines the complex interactions between the atmosphere, biosphere, hydrosphere, and other spheres, with the goal of understanding the planet’s dynamic processes. A crucial aspect of this field is the collection and analysis of vast amounts of data, which provide insights into these interactions, both from simulations and observations. A prevalent data type in this field...

6. Towards a Knowledge Graph for Models and Algorithms in Simulation Science -- A Use Case in Amputation Surgery

Dominik Göddeke (University of Stuttgart)

18/10/2024, 09:00

Talk

Designing an ontology and creating a knowledge graph encompassing scientific computing, simulation science, mathematical modeling and a variety of application domains is a truly challenging task. In this talk, we will first sketch the MaRDI endeavor towards abstracting such an ontology and populating such a knowledge graph. Contributed talks by, e.g., F. Wübbeling, will dive into the details....