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 Sommersemester 2020

Recent publications

  • Parallele Dateisysteme, 2019-09-03 Publication detailsURLDOI
  • Optimizing Memory Bandwidth Efficiency with User-Preferred Kernel Merge, 2019-08-26 Publication details
  • D3.4 Performance Results and Conclusions, 2019-07-31 Publication detailsURL
  • ESiWACE: On European Infrastructure Efforts for Weather and Climate Modeling at Exascale, 2019-07-04 (to be published) Publication details
  • Sparse Grid Regression for Performance Prediction Using High-Dimensional Run Time Data, 2019-06-28 (to be published) Publication details

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: 2020-03-31 11:58 by Michael Kuhn