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

  • ArduPower v2: Open and Modular Power Measurement for HPC Components, 2020-09-27 (to be published) Publication details
  • Improving Energy Efficiency of Scientific Data Compression with Decision Trees, 2020-09-27 (to be published) Publication details
  • Compiler Assisted Source Transformation of OpenMP Kernels, 2020-07-05 (to be published) Publication details
  • State of the Art and Future Trends in Data Reduction for High-Performance Computing, 2020-04 Publication detailsURLDOI
  • Parallele Dateisysteme, 2019-09-03 Publication detailsURLDOI

Recent theses

  • 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
  • Verification of one-sided MPI communication code using static analysis in LLVM (Marcel Heing-Becker), Master's Thesis, 2019-02-25, ThesisPublication details
  • Efficient handling of compressed data in ZFS (Hauke Stieler), Bachelor's Thesis, 2019-01-16, ThesisPublication details

Ongoing projects

start.txt · Last modified: 2020-10-03 22:09 (external edit)