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@INBOOK{Gadeschi:866742,
      author       = {Gadeschi, Gonzalo Brito and Siewert, Christoph and
                      Lintermann, Andreas and Meinke, Matthias and Schröder,
                      Wolfgang},
      title        = {{T}owards {L}arge {M}ulti-scale {P}article {S}imulations
                      with {C}onjugate {H}eat {T}ransfer on {H}eterogeneous
                      {S}uper {C}omputers},
      address      = {Cham},
      publisher    = {Springer International Publishing},
      reportid     = {FZJ-2019-05811},
      isbn         = {978-3-642-15747-9},
      pages        = {307-319},
      year         = {2015},
      comment      = {High Performance Computing in Science and Engineering ‘14
                      / Nagel, Wolfgang E. (Editor) ; Cham : Springer
                      International Publishing, 2015, Chapter 21 ; ISBN:
                      978-3-319-10809-4 ; doi:10.1007/978-3-319-10810-0},
      booktitle     = {High Performance Computing in Science
                       and Engineering ‘14 / Nagel, Wolfgang
                       E. (Editor) ; Cham : Springer
                       International Publishing, 2015, Chapter
                       21 ; ISBN: 978-3-319-10809-4 ;
                       doi:10.1007/978-3-319-10810-0},
      abstract     = {We present numerical methods based on hierarchical
                      Cartesian grids for the simulation of particle flows of
                      different length scales. These include Eulerian-Lagrangian
                      approaches for fully resolved moving particles with
                      conjugate heat-transfer as well as one-way coupled
                      Lagrangian particle models for large-scale particle
                      simulations. The domain decomposition of all phases involved
                      is performed on a joint hierarchical Cartesian grid where
                      the individual cells can belong to one or more sub-grids
                      discretizing different physics, such that numerical methods
                      can operate independently on these sub-sets of the joint
                      mesh to solve, e.g., the Navier-Stokes equations, the heat
                      equation, or the particle motion. Due to the wide range of
                      length scales involved, we first demonstrate the scalability
                      of our automatic mesh generation approach. We then proceed
                      to detail the method for fully-resolved particle simulation
                      and the first steps towards its porting to heterogeneous
                      supercomputers. Finally, we detail the parallelization
                      strategy for the particle motion used by large scale one-way
                      Lagrangian particle simulations.},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511)},
      pid          = {G:(DE-HGF)POF3-511},
      typ          = {PUB:(DE-HGF)7},
      doi          = {10.1007/978-3-319-10810-0_21},
      url          = {https://juser.fz-juelich.de/record/866742},
}