HLRS Congratulates the Winners of the 2023 Golden Spike Awards

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The winners of the 2023 HLRS Golden Spike Awards (l-r): Pascal Mossier (Institute for Aerodynamics and Gas Dynamics, University of Stuttgart), Theresa Pollinger (Institute for Parallel and Distributed Systems, University of Stuttgart), and Maximilian Jacobi (Institute for Nuclear Physics, Technical University of Darmstadt).

This year's awards recognize recent research in computational fluid dynamics, computer science, and astrophysics.

On October 12-13, 2023, users of HLRS’s high-performance computing systems met in the Center’s Rühle-Saal to present and discuss their recent research at the 26th annual Results and Review Workshop. Each year, the two-day conference highlights current applications of high-performance computing at HLRS and offers a forum to exchange insights about strategies for maximizing performance on the center’s supercomputing systems.

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In 24 talks and a poster session, visitors learned about advanced research in fields such as computational fluid dynamics, climate research, computer science, chemistry and materials science, bioinformatics, structural mechanics, and physics, among others. In addition to covering approaches using traditional HPC simulation methods, several talks and posters also highlighted new applications that combine machine learning with traditional simulation methods.

Winners of the 2023 Golden Spike Awards

At the conclusion of the meeting, Prof. Dr. Thomas Ludwig (German Climate Research Center), chair of the HLRS steering committee, announced the winners of the 2023 HLRS Golden Spike Awards. Presented every year at the Results and Review Workshop, the awards recognize excellence in computational research and the use of high-performance computing. Representing their respective projects, this year’s Golden Spike Award winners were:

Pascal Mossier (Institute for Aerodynamics and Gas Dynamics, University of Stuttgart)
A High-Order Framework for Compressible Droplet Dynamics

Theresa Pollinger (Institute for Parallel and Distributed Systems, University of Stuttgart)
The Sparse Grid Combination Technique for Higher-Dimensional Simulations at Extreme Scales

Maximilian Jacobi (Institute for Nuclear Physics, Technical University of Darmstadt)
Neutron Star Mergers: From Nuclei to Cosmic Explosions