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.


Lehre im Wintersemester 2020/2021

Recent publications

Recent theses

  • Leistungsanalyse und -optimierung der Netzwerkkommunikation in dem HPC-Speichersystem JULEA unter Verwendung des OFI Frameworks (Arne Struck), Bachelor's Thesis, 2020-12-01, ThesisPublication details
  • Analysis of the Impact of Aging on the EXT4 and ZFS Filesystems and Their Countermeasures (Lars Thoms), Master's Thesis, 2020-11-27, ThesisPublication details
  • Integrating self-describing data formats into file systems (Benjamin Warnke), Master's Thesis, 2019-11-08, ThesisPublication details
  • Python for High Performance I/O (Johannes Coym), Bachelor's Thesis, 2019-07-30, ThesisPublication details
  • Structured metadata for the JULEA storage framework (Michael Straßberger), Bachelor's Thesis, 2019-05-21, ThesisPublication details

Ongoing projects

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