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 2018/2019

Recent publications

  • Poster: ESiWACE: Performance Predictions for Storm-Resolving Simulations of the Climate System, 2018-07-03 BibTeX
  • Mission possible: Unify HPC and Big Data stacks towards application-defined blobs at the storage layer, 2018-07 BibTeX URL DOI
  • Poster: A user-controlled GGDML Code Translation Technique for Performance Portability of Earth System Models, 2018-06-26 BibTeX URL
  • Poster: Performance Conscious HPC (PeCoH) – 2018, 2018-06-26 BibTeX URL Publication
  • Poster: Advanced Computation and I/O Methods for Earth-System Simulations (AIMES), 2018-06-26 BibTeX URL

Recent theses

  • Leistungsverbesserung der Simulation von 3D Strahlung auf extrasolare Planeten (Oliver Pola), Bachelor's Thesis, 2018-08-06, Thesis BibTeX
  • Development of a decision support system for performance tuning in Lustre (Julius Plehn), Bachelor's Thesis, 2018-05-23, Thesis BibTeX
  • Vector Folding for Icosahedral Earth System Models (Jonas Tietz), Bachelor's Thesis, 2018-03-26, Thesis BibTeX
  • Enabling Single Process Testing of MPI in Massive Parallel Applications (Tareq Kellyeh), Master's Thesis, 2018-03-20, Thesis BibTeX
  • Modeling and Performance Prediction of HDF5 data on Objectstorage (Roman Jerger), Master's Thesis, 2018-03-15, Thesis BibTeX

Ongoing projects