Scientific Computing // Wissenschaftliches Rechnen

The group Scientific Computing conducts research and development on high performance storage systems. We develop HPC concepts and apply them to simulation software with a focus on earth system models.

The group offers products for research and teaching, and contributes to third-party projects.

• 2023-10: In cooperation with DKRZ we have offered again a beginner's course about Python in earth sciences.
• 2022-12: Next ISC will be in Hamburg. If you are interested in gathering experiences regarding a scientific conference about computer science, you could apply as a student volunteer.
• 2022-11: Due to maintenance we have to shutdown our systems (including this website) from 2022-11-10 to 2022-11-14
• 2022-10: In cooperation with DKRZ we have organized a german invited Lustre Workshop with great talks and discussion about national development and contributions to the Lustre project

Vorlesungszeit: 2024-04-02 – 2024-07-13

• Projekt „Parallele Systeme“ (Ansprechpartner: Anna Fuchs)
• Proseminar „Supercomputer: Konzepte und Technologien“ (Ansprechpartner: Jannek Squar)

• Editorial Themenheft Digitale Landwirtschaft, 2023-02 Publication details – DOI – Publication
• Ein Simulationsmodell zur Erfassung von Abflussrisiken in der Landwirtschaft, 2023-02 Publication details – DOI – Publication
• CTD2022: traccc - GPU Track reconstruction demonstrator for HEP, 2023 Publication details – URL – DOI
• Vecpar – A Framework for Portability and Parallelization, 2023 Publication details – URL – DOI
• Deriving pre-eutrophic conditions from an ensemble model approach for the North-West European Seas, 2023 Publication details

• For more details, see the list of all publications.

• Modelling MPI Communication using Colored Petri Nets (Tronje Krabbe), Master's Thesis, 2023-07-24, Thesis – Publication details
• A Multi-purpose Framework for Efficient Parallelized Execution of Charged Particle Tracking (Georgiana Mania), PhD Thesis, 2023-07-12, Thesis – Publication details – URL
• System profiling and data aggregation for smart compression in Lustre (Pablo Correa Gómez), Master's Thesis, 2022-08-17, Thesis – Publication details
• Vecpar OpenMP Prototype for Particle Physics Example (Henning Lindemann), Bachelor's Thesis, 2023-08-10, Thesis – Publication details
• Data-Aware Compression for HPC using Machine Learning (Julius Plehn), Master's Thesis, 2022-05-09, Thesis – Publication details

• For more details, see the list of all theses.