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

  • TweTriS: Twenty Trillion-atom Simulation, 2019-01-06 BibTeX DOI
  • Assessing the Scales in Numerical Weather and Climate Predictions: Will Exascale be the Rescue?, 2018-12-12 (to be published) BibTeX DOI
  • Mastering the scales: a survey on the benefits of multiscale computing software, 2018-11-06 (to be published) BibTeX
  • Towards Green Scientific Data Compression Through High-Level I/O Interfaces, 2018-09 BibTeX
  • Poster: ESiWACE: Performance Predictions for Storm-Resolving Simulations of the Climate System, 2018-07-03 BibTeX

Recent theses

  • Learned Index Structures: An Evalution of their Performance in Key-Value Storage Solutions (Leonhard Reichenbach), Bachelor's Thesis, 2018-09-10, Thesis BibTeX
  • 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

Ongoing projects

start.txt · Last modified: 2018-12-03 11:06 by Michael Kuhn