% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@INPROCEEDINGS{SchlottkeLakemper:866745,
      author       = {Schlottke-Lakemper, Michael and Yu, Hans and Berger, Sven
                      and Lintermann, Andreas and Meinke, Matthias and Schröder,
                      Wolfgang},
      title        = {{T}he {D}irect-{H}ybrid {M}ethod for {C}omputational
                      {A}eroacoustics on {HPC} {S}ystems},
      volume       = {10164},
      address      = {Cham},
      publisher    = {Springer International Publishing},
      reportid     = {FZJ-2019-05814},
      isbn         = {978-3-319-53861-7 (print)},
      series       = {Lecture Notes in Computer Science},
      pages        = {70 - 81},
      year         = {2017},
      comment      = {High-Performance Scientific Computing / Di Napoli, Edoardo
                      (Editor) ; Cham : Springer International Publishing, 2017,
                      Chapter 7 ; ISSN: 0302-9743=1611-3349 ; ISBN:
                      978-3-319-53861-7=978-3-319-53862-4 ;
                      doi:10.1007/978-3-319-53862-4},
      booktitle     = {High-Performance Scientific Computing
                       / Di Napoli, Edoardo (Editor) ; Cham :
                       Springer International Publishing,
                       2017, Chapter 7 ; ISSN:
                       0302-9743=1611-3349 ; ISBN:
                       978-3-319-53861-7=978-3-319-53862-4 ;
                       doi:10.1007/978-3-319-53862-4},
      abstract     = {Classic hybrid methods for computational aeroacoustics use
                      different solvers and methods to predict the flow field and
                      the acoustic pressure field in two separate steps, which
                      involves data exchange via disk I/O between the solvers.
                      This limits the efficiency of the approach, as parallel I/O
                      usually does not scale well to large numbers of cores. In
                      this work, a highly scalable direct-hybrid scheme is
                      presented, in which both the flow and the acoustics
                      simulations run simultaneously. That is, all data between
                      the two solvers is transferred in-memory, avoiding the
                      restrictions of the I/O subsystem. Results for the
                      simulation of a pair of co-rotating vortices show that the
                      method is able to correctly predict the acoustic pressure
                      field and that it is suitable for highly parallel
                      simulations.},
      organization  = {JARA-HPC Symposium 2016, Aachen
                       (Germany)},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511) / Prediction of jet engine noise
                      $(jhpc23_20151101)$},
      pid          = {G:(DE-HGF)POF3-511 / $G:(DE-Juel1)jhpc23_20151101$},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      doi          = {10.1007/978-3-319-53862-4_7},
      url          = {https://juser.fz-juelich.de/record/866745},
}