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 Sommersemester 2017



Ongoing projects

Recent publications

  • SFS: A Tool for Large Scale Analysis of Compression Characteristics (Julian Kunkel), Research Papers (4), Research Group: Scientific Computing, University of Hamburg (Deutsches Klimarechenzentrum GmbH, Bundesstraße 45a, D-20146 Hamburg), 2017-05-05
    BibTeX Publication
  • Lattice Boltzmann Flow Simulation on Android Devices for Interactive Mobile-Based Learning (Philipp Neumann, Michael Zellner), In Euro-Par 2016: Parallel Processing Workshops, Lecture Notes in Computer Science (10104), pp. 3–15, Springer (Berlin, Heidelberg), Euro-Par 2016, Grenoble, ISBN: 978-3-319-58943-5, 2017
    BibTeX DOI
  • Interdisciplinary Teamwork in HPC Education: Challenges, Concepts, and Outcomes (Philipp Neumann, Christoph Kowitz, Felix Schranner, Dmitrii Azarnykh), In Journal of Parallel and Distributed Computing, Series: 105, pp. 83–91, (Editors: Sushil Prasad), Elsevier, ISSN: 0743-7315, 2017
    BibTeX DOI
  • High Performance Shallow Water Kernels for Parallel Overland Flow Simulations Based on FullSWOF2D (Roland Wittmann, Hans-Joachim Bungartz, Philipp Neumann), In Computers and Mathematics with Applications, Series: 74(1), pp. 110–125, (Editors: Jose Galan-Garcia), Elsevier, ISSN: 0898-1221, 2017
    BibTeX DOI

Recent theses