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@INPROCEEDINGS{Dhle:1033886,
      author       = {Döhle, Daniele and Börger, Kristian and Arnold, Lukas},
      title        = {{E}valuation of {GPU}-based {C}onductive {H}eat {T}ransfer
                      {A}lgorithms},
      journal      = {Journal of physics / Conference Series},
      volume       = {2885},
      number       = {1},
      issn         = {1742-6588},
      address      = {Bristol},
      publisher    = {IOP Publ.},
      reportid     = {FZJ-2024-06724},
      pages        = {012108 -},
      year         = {2024},
      abstract     = {The one-dimensional heat transfer algorithm of the Fire
                      Dynamics Simulator (FDS) is currently implemented to run on
                      a CPU (Central Processing Unit). This study explores the
                      potential advantages of adapting the algorithm for Graphics
                      Processing Units (GPUs), which could o!er significant
                      computational benefits. The motivation behind this work
                      stems from the intention to speed up numerical fire
                      simulations. Up to now, simplifications with regard to grid
                      resolution and level of detail have been made, compromising
                      accuracy for quicker results. Simulations, especially for
                      heat transfer in solid objects such as walls, require
                      computationally intensive resources. By leveraging the
                      GPUs’ superior parallel processing capabilities, it is
                      possible to conduct faster and more accurate simulations,
                      avoiding these compromises. Both a CPU and a GPU algorithm
                      for computing the 1D heat transfer are developed, and the
                      computation time is compared against each other. Both
                      implementations are validated against a simple FDS
                      simulation with identical boundary conditions. The
                      investigations show that the GPU algorithm is promising
                      above a certain number of wall elements, depending on the
                      employed hardware. The results show that this is generally
                      the case from 2048 elements.},
      month         = {Oct},
      date          = {2024-10-09},
      organization  = {4th European Symposium on Fire Safety
                       Science, Barcelona (Spain), 9 Oct 2024
                       - 11 Oct 2024},
      cin          = {IAS-7},
      ddc          = {530},
      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)16 / PUB:(DE-HGF)8},
      UT           = {WOS:001407642900108},
      doi          = {10.1088/1742-6596/2885/1/012108},
      url          = {https://juser.fz-juelich.de/record/1033886},
}