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 Publication detailsDOI
  • Towards an HPC Certification Program, 2019-01 Publication detailsURLDOI
  • Assessing the Scales in Numerical Weather and Climate Predictions: Will Exascale be the Rescue?, 2018-12-12 (to be published) Publication detailsDOI
  • Mastering the scales: a survey on the benefits of multiscale computing software, 2018-11-06 (to be published) Publication details
  • Towards Green Scientific Data Compression Through High-Level I/O Interfaces, 2018-09 Publication details

Recent theses

  • Characterization and translation of OpenMP use cases to MPI using LLVM (Tim Jammer), Master's Thesis, 2018-12-04, ThesisPublication details
  • Learned Index Structures: An Evalution of their Performance in Key-Value Storage Solutions (Leonhard Reichenbach), Bachelor's Thesis, 2018-09-10, ThesisPublication details
  • Leistungsverbesserung der Simulation von 3D Strahlung auf extrasolare Planeten (Oliver Pola), Bachelor's Thesis, 2018-08-06, ThesisPublication details
  • Development of a decision support system for performance tuning in Lustre (Julius Plehn), Bachelor's Thesis, 2018-05-23, ThesisPublication details
  • Vector Folding for Icosahedral Earth System Models (Jonas Tietz), Bachelor's Thesis, 2018-03-26, ThesisPublication details

Ongoing projects

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