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@ARTICLE{Niemller:890724,
      author       = {Niemöller, Ansgar and Schlottke-Lakemper, Michael and
                      Meinke, Matthias and Schröder, Wolfgang},
      title        = {{D}ynamic load balancing for direct-coupled multiphysics
                      simulations},
      journal      = {Computers $\&$ fluids},
      volume       = {199},
      issn         = {0045-7930},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2021-01147},
      pages        = {104437},
      year         = {2020},
      abstract     = {High parallel efficiency for large-scale coupled
                      multiphysics simulations requires the computational load to
                      be evenly distributed among all compute cores. For complex
                      applications and massively parallel computations, even minor
                      load imbalances can have a severe impact on the overall
                      performance and resource usage. Exemplarily for a
                      volume-coupled multiphysics simulation, a direct-hybrid
                      method is considered, in which a CFD and a CAA simulation
                      are performed concurrently on the same parallel subdomains.
                      For differing load compositions on each subdomain, accurate
                      computational weights for CFD and CAA cells must be known to
                      determine an efficient domain decomposition. Therefore, a
                      dynamic load balancing scheme is presented, which allows to
                      increase the efficiency of complex coupled simulations with
                      non-trivial domain decompositions. A fully-coupled
                      three-dimensional jet simulation with approximately 300
                      million degrees of freedom demonstrates the effectiveness of
                      the approach to reduce load imbalances. A detailed
                      performance analysis substantiates the necessity of dynamic
                      load balancing. Furthermore, the results of a strong scaling
                      experiment show the benefit of load balancing to be
                      proportional to the degree of parallelism. In addition, it
                      is shown that the approach allows to attenuate imbalances
                      also for parallel computations on heterogeneous computing
                      hardware. The acoustic field of a chevron nozzle will also
                      be discussed.},
      ddc          = {004},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.1016/j.compfluid.2020.104437},
      url          = {https://juser.fz-juelich.de/record/890724},
}