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

News

Research

Ongoing projects

Recent publications

  • JULEA: A Flexible Storage Framework for HPC (Michael Kuhn), In High Performance Computing, Lecture Notes in Computer Science (10524), (Editors: Julian Kunkel, Rio Yokota, Michela Taufer, John Shalf), Springer International Publishing, ISC High Performance 2017, Frankfurt, Germany, ISBN: 978-3-319-67629-6, 2017-11
    BibTeX DOI
  • A mouse model for embryonal tumors with multilayered rosettes uncovers the therapeutic potential of Sonic-hedgehog inhibitors (Julia E. Neumann, Annika K. Wefers, Sander Lambo, Edoardo Bianchi, Marie Bockstaller, Mario M. Dorostkar, Valerie Meister, Pia Schindler, Andrey Korshunov, Katja von Hoff, Johannes Nowak, Monika Warmuth-Metz, Marlon R. Schneider, Ingrid Renner-Müller, Daniel J. Merk, Mehdi Shakarami, Tanvi Sharma, Lukas Chavez, Rainer Glass, Jennifer A. Chan, M. Mark Taketo, Philipp Neumann, Marcel Kool, Ulrich Schüller), In Nature Medicine, Series: 23(10), pp. 1191–1202, Nature Publishing Group, ISSN: 1546-170X, 2017-09-11
    BibTeX DOI
  • Could Blobs Fuel Storage-Based Convergence Between HPC and Big Data? (Pierre Matri, Yevhen Alforov, Alvaro Brandon, Michael Kuhn, Philip Carns, Thomas Ludwig), In 2017 IEEE International Conference on Cluster Computing, pp. 81–86, IEEE Computer Society, CLUSTER 2017, Honolulu, USA, ISBN: 978-1-5386-2326-8, 2017-09
    BibTeX URL DOI
  • MaMiCo: Transient Multi-Instance Molecular-Continuum Flow Simulation on Supercomputers (Philipp Neumann, Xin Bian), In Computer Physics Communications, Series: 220, pp. 390–402, Elsevier, ISSN: 0010-4655, 2017-07-27
    BibTeX DOI

Recent theses