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@ARTICLE{Wrzburger:888398,
      author       = {Würzburger, My Linh and Arnold, Lukas},
      title        = {{D}ynamic domain expansion in smoke spread simulations with
                      {ARTSS}: {S}peedup and overhead},
      journal      = {Fire safety journal},
      volume       = {120},
      issn         = {0379-7112},
      address      = {New York, NY [u.a.]},
      publisher    = {Elsevier},
      reportid     = {FZJ-2020-04877},
      pages        = {103168},
      year         = {2021},
      abstract     = {This paper describes the impact and consequences of a
                      dynamic domain expansion in a smoke simulation performed in
                      the software ARTSS. This software is developed with the aim
                      to conduct real-time or even prognosis computations by using
                      GPUs as the main computational architecture. Further runtime
                      acceleration is proposed by means of a dynamic expansion of
                      the computational domain. This approach is based on the
                      reduction of the computational domain, which is dynamically
                      adapted to calculate only the domain of interest, e.g.
                      regions containing smoke. Here, the domain starts as a
                      localised region and is expanded based on prescribed
                      criteria. This contribution outlines the initial
                      implementation. However, to understand the impact of an
                      expansion, the overhead caused by the expansion process, the
                      influence on the numerical result and on the runtime, as
                      well as the used expansion parameters, are investigated. In
                      general, an increased acceleration can be eventually
                      observed at the costs of accuracy due to the reduced domain.
                      The overhead and accuracy can be controlled by the method's
                      parameters. The loss of accuracy depends strongly on which
                      expansion methods and setting are used. With more complex
                      expansion methods, the loss of accuracy can be reduced.},
      month         = {Apr},
      date          = {2020-04-27},
      organization  = {Symposium of the International
                       Association for Fire Safety Science,
                       Waterloo (Canda), 27 Apr 2020 - 1 May
                       2020},
      cin          = {IAS-7},
      ddc          = {690},
      cid          = {I:(DE-Juel1)IAS-7-20180321},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511)},
      pid          = {G:(DE-HGF)POF4-5111},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)16},
      UT           = {WOS:000639876600007},
      doi          = {10.1016/j.firesaf.2020.103168},
      url          = {https://juser.fz-juelich.de/record/888398},
}