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@ARTICLE{Tsai:1052253,
      author       = {Tsai, Yu-Hsiang Mike and Bode, Mathis and Anzt, Hartwig},
      title        = {{E}nabling {G}inkgo as {N}umerics {B}ackend in nek{RS}
                      {E}mploying {A} {L}oosely-{C}oupled {C}onfiguration {F}ile
                      {C}oncept},
      journal      = {Procedia computer science},
      volume       = {267},
      issn         = {1877-0509},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier},
      reportid     = {FZJ-2026-00870},
      pages        = {72 - 81},
      year         = {2025},
      abstract     = {In computational fluid dynamics (CFD), the choice of
                      numerical methods can significantly impact the overall
                      simulation runtime. While it is virtually impossible to know
                      the optimal solver plus preconditioner configuration for
                      every hardware and application setup, it is valuable for CFD
                      engineers to have access to and evaluate different numerical
                      methods to customize the setup for efficient execution. In
                      this paper, we demonstrate how the Ginkgo high-performance
                      numerical linear algebra library is integrated as a math
                      toolbox into the nekRS state-of-the-art computational fluid
                      dynamics simulation library to give CFD engineers access to
                      a plethora of solvers and preconditioners CFD engineers.
                      Using three application test cases, we demonstrate how
                      picking numerical methods from the Ginkgo library can
                      accelerate simulations on supercomputers featuring
                      NVIDIA’s Ampere GPUs and Grace Hopper superchips.},
      cin          = {JSC},
      ddc          = {004},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs)
                      and Research Groups (POF4-511) / Inno4Scale - Innovative
                      Algorithms for Applications on European Exascale
                      Supercomputers (101118139)},
      pid          = {G:(DE-HGF)POF4-5112 / G:(EU-Grant)101118139},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.1016/j.procs.2025.08.234},
      url          = {https://juser.fz-juelich.de/record/1052253},
}