Scientific Computing // Wissenschaftliches Rechnen

The group Scientific Computing conducts research on high performance storage systems, energy efficiency, and simulation of cluster infrastructure. We have expertise in parallel programming and environmental modeling.

Further information about our mission.


Lehre im Sommersemester 2018

Recent publications

  • Poster: Automatic Profiling for Climate Modeling, 2018-04-17 BibTeX URL Publication
  • A Survey of Storage Systems for High-Performance Computing, 2018-04 BibTeX URL DOI
  • SkaSim - Skalierbare HPC-Software für molekulare Simulationen in der chemischen Industrie, 2018-02-01 BibTeX DOI
  • Towards Decoupling the Selection of Compression Algorithms from Quality Constraints – an Investigation of Lossy Compression Efficiency, 2017-12 BibTeX URL DOI
  • A holistic scalable implementation approach of the lattice Boltzmann method for CPU/GPU heterogeneous clusters, 2017-11-30 BibTeX DOI

Recent theses

Ongoing projects