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

News

Recent publications

  • Poster: Automatic Profiling for Climate Modeling, 2018-04-17 BibTeX URL Publication
  • 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
  • Poster: Toward Decoupling the Selection of Compression Algorithms from Quality Constraints, 2017-11-14 BibTeX Publication

Recent theses

Ongoing projects