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.

• 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 internal 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
• 2022-03: In cooperation with DKRZ we have offered a beginner's course about Python in earth sciences.

Vorlesungszeit: 2023-04-03 – 2023-07-15

• Projekt „Parallele Systeme“ (Ansprechpartner: Anna Fuchs)

• A GPU-Based Kalman Filter for Track Fitting, 2021-10-05 Publication details – URL – DOI
• Improving Energy Efficiency of Scientific Data Compression with Decision Trees, 2020-09-27 Publication details – URL
• ArduPower v2: Open and Modular Power Measurement for HPC Components, 2020-09-27 Publication details – URL
• Compiler Assisted Source Transformation of OpenMP Kernels, 2020-07-05 Publication details – DOI
• State of the Art and Future Trends in Data Reduction for High-Performance Computing, 2020-04 Publication details – URL – DOI

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

• Data-Aware Compression for HPC using Machine Learning (Julius Plehn), Master's Thesis, 2022-05-09, Thesis – Publication details
• Performance study on GPU offloading techniques using the Gauß matrix inverse algorithm (Yannik Koenneker), Bachelor's Thesis, 2022-03-04, Thesis – Publication details
• Analysis of elastic Cloud solutions in an HPC Environment (Johannes Coym), Master's Thesis, 2021-10-23, Thesis – Publication details
• Optimising Scientific Software for Heterogeneous Cluster Computers: Evaluation of Machine Learning Methods for Source Code Classification (Ruben Felgenhauer), Master's Thesis, 2021-09-23, Thesis – Publication details
• Scimon - Scientific Monitor for Automated Run Logging and Reproducibility (Daniel Bremer), Master's Thesis, 2021-06-09, Publication details

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