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 2017/2018

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Research

Ongoing projects

Recent publications

  • SkaSim - Skalierbare HPC-Software für molekulare Simulationen in der chemischen Industrie (Jadran Vrabec, Martin Bernreuther, Hans-Joachim Bungartz, Wei-Lin Chen, Wilfried Cordes, Johannes Eicher, Robin Fingerhut, Colin W. Glass, Jürgen Gmehling, René Hamburger, Manfred Heilig, Mattias Heinen, Martin T. Horsch, Chieh-Ming Hsieh, Marco Hülsmann, Philip Jäger, Peter Klein, Sandra Knauer, Thorsten Köddermann, Andreas Köster, Kai Langenbach, Shiang-Tai Lin, Philipp Neumann, Michael Pittroff, Jürgen Rarey, Dirk Reith, Gábor Rutkai, Michael Schappals, Martin Schenk, André Schedemann, Steffen Seckler, Simon Stephan, Katrin Stöbener, Nikola Tchipev, Amer Wafai, Stephan Werth, Hans Hasse), In Chemie Ingenieur Technik (Accepted), Wiley, 2017-12-18
    BibTeX
  • Towards Decoupling the Selection of Compression Algorithms from Quality Constraints – an Investigation of Lossy Compression Efficiency (Julian Kunkel, Anastasiia Novikova, Eugen Betke), In Supercomputing Frontiers and Innovations, Series: Volume 4, Number 4, pp. 17–33, (Editors: Jack Dongarra, Vladimir Voevodin), 2017-12
    BibTeX URL DOI
  • A holistic scalable implementation approach of the lattice Boltzmann method for CPU/GPU heterogeneous clusters (Christoph Riesinger, Arash Bakhtiari, Martin Schreiber, Philipp Neumann, Hans-Joachim Bungartz), In Computation, Series: 5(4), pp. 48, (Editors: Karlheinz Schwarz), MDPI, ISSN: 2079-3197, 2017-11-30
    BibTeX DOI

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