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Department of Informatics
Scientific Computing

Scientific Computing // Wissenschaftliches Rechnen

The group Scientific Computing conducts research on high performance storage systems, energy efficiency, and simulation of cluster infrastructure. We have expertise in parallel programming and environmental modeling.

Further information about our mission.

Lehre im Wintersemester 2016/2017



Ongoing projects

Recent publications

  • Poster: Analyzing Data Properties using Statistical Sampling Techniques – Illustrated on Scientific File Formats and Compression Features (Julian Kunkel), Frankfurt, ISC High Performance 2015, 2016-21-06 – Awards: Best Poster
    BibTeX Publication
  • Poster: Predicting I/O-performance in HPC using Artificial Neural Networks (Jan Fabian Schmid, Julian Kunkel), Frankfurt, ISC High Performance 2015, 2016-21-06
    BibTeX Publication
  • Looking beyond stratification: a model-based analysis of the biological drivers of oxygen deficiency in the North Sea (Fabian Große, Naomi Greenwood, Markus Kreus, Hermann Lenhart, Detlev Machoczek, Johannes Pätsch, Lesley A. Salt, Helmuth Thomas), In Biogeosciences, Series: 13, pp. 2511–2535, (Editors: Veronique Garçon), Copernicus Publications (Bahnhofsallee 1e, 37081 Göttingen, Germany), 2016
    BibTeX URL DOI
  • Towards Automatic and Flexible Unit Test Generation for Legacy HPC Code (Christian Hovy, Julian Kunkel), In Proceedings of the Fourth International Workshop on Software Engineering for High Performance Computing in Computational Science and Engineering, SEHPCCSE16, Salt Lake City, Utah, USA, 2016

Recent theses

  • Evaluation von alternativen Speicherszenarien für hierarchische Speichersysteme, Marc Perzborn (Bachelor's Thesis), Advisors: Dr. Julian Kunkel, 2016-10-31, Thesis BibTeX
  • MPI-3 algorithms for 3D radiative transfer on Intel Xeon Phi coprocessors, Jannek Squar (Master's Thesis), Advisors: Peter Hauschildt, Dr. Michael Kuhn, 2016-10-20, BibTeX
  • Suitability Analysis of GPUs and CPUs for Graph Algorithms, Kristina Tesch (Bachelor's Thesis), Advisors: Dr. Michael Kuhn, 2016-09-27, BibTeX
  • Leistungs- und Genauigkeitsanalyse numerischer Löser für Differentialgleichungen, Joel Graef (Bachelor's Thesis), Advisors: Fabian Große, Dr. Michael Kuhn, 2016-09-12, BibTeX
  • Performanceanalyse der Ein-/Ausgabe des Ökologiemodells ECOHAM5, Simon Kostede (Master's Thesis), Advisors: Dr. Michael Kuhn, Fabian Große, Dr. Hermann Lenhart, 2016-08-22, BibTeX

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