@inproceedings {INPROC-2018-50,
    author = {Steffen Hirschmann and Michael Lahnert and Carolin Schober and Malte Brunn and Miriam Mehl and Dirk Pfl{\"u}ger},
    title = {{Load-Balancing and Spatial Adaptivity for Coarse-Grained Molecular Dynamics Applications}},
    booktitle = {High Performance Computing in Science and Engineering '18},
    editor = {Wolfgang E. Nagel and Dietmar H. Kr{\"o}ner and Michael M. Resch},
    publisher = {Springer International Publishing},
    institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
    pages = {1--510},
    type = {Konferenz-Beitrag},
    month = {Oktober},
    year = {2018},
    isbn = {978-3-030-13324-5},
    doi = {10.1007/978-3-030-13325-2},
    language = {Englisch},
    cr-category = {G.1.0 Numerical Analysis General},
    ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2018-50/INPROC-2018-50.pdf},
    department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Simulation gro{\ss}er Systeme},
    abstract = {We present our approach for a scalable implementation of coupled soft matter
      simulations for inhomogeneous applications based on the simulation package
      ESPResSo and an extended version of the adaptive grid framework p4est. Our main
      contribution in this paper is the development and implementation of a joint
      partitioning of two or more distinct octree-based grids based on the concept of
      a finest common tree. This concept guarantees that, on all grids, the same
      process is responsible for each point in space and, thus, avoids communication
      of data in overlapping volumes handled in different partitions. We achieve up
      to 85 \% parallel efficiency in a weak scaling setting. Our proposed algorithms
      take only a small fraction of the overall runtime of grid adaption.},
    url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-50&engl=0}
 }

@inproceedings {INPROC-2018-07,
    author = {David Pfander and Malte Brunn and Dirk Pfl{\"u}ger},
    title = {{AutoTuneTMP: Auto-Tuning in C++ With Runtime Template Metaprogramming}},
    booktitle = {2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)},
    publisher = {IEEE},
    institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
    pages = {1--10},
    type = {Konferenz-Beitrag},
    month = {Mai},
    year = {2018},
    keywords = {auto-tuning; template metaprogramming; just-in-time compilation; performance engineering},
    language = {Englisch},
    cr-category = {D.3.4 Programming Languages Processors},
    contact = {submitted},
    department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Simulation gro{\ss}er Systeme},
    abstract = {},
    url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-07&engl=0}
 }

@inbook {INBOOK-2017-06,
    author = {Steffen Hirschmann and Malte Brunn and Michael Lahnert and Colin W. Glass and Miriam Mehl and Dirk Pfl{\"u}ger},
    title = {{Load balancing with p4est for Short-Range Molecular Dynamics with ESPResSo}},
    series = {Advances in Parallel Computing},
    publisher = {IOS Press},
    volume = {32},
    pages = {455--464},
    type = {Beitrag in Buch},
    month = {September},
    year = {2017},
    doi = {10.3233/978-1-61499-843-3-455},
    language = {Englisch},
    cr-category = {G.0 Mathematics of Computing General},
    ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INBOOK-2017-06/INBOOK-2017-06.pdf},
    department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Simulation gro{\ss}er Systeme},
    abstract = {},
    url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2017-06&engl=0}
 }