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

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