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 Sommersemester 2022

Recent publications

Recent theses

  • Performance study on GPU offloading techniques using the Gauß matrix inverse algorithm (Yannik Koenneker), Bachelor's Thesis, 2022-03-04, ThesisPublication details
  • Analysis of elastic Cloud solutions in an HPC Environment (Johannes Coym), Master's Thesis, 2021-10-23, ThesisPublication details
  • Optimising Scientific Software for Heterogeneous Cluster Computers: Evaluation of Machine Learning Methods for Source Code Classification (Ruben Felgenhauer), Master's Thesis, 2021-09-23, ThesisPublication details
  • Performance modeling of one-sided and two-sided MPI-3 communication (Niclas Schroeter), Bachelor's Thesis, 2021-05-09, ThesisPublication details
  • Containerizing a user-space storage framework for reproducibility (Marcel Papenfuss), Bachelor's Thesis, 2021-03-11, ThesisPublication details

start.txt · Last modified: 2022-04-08 12:03 by Jannek Squar