001041837 001__ 1041837
001041837 005__ 20250514202226.0
001041837 0247_ $$2datacite_doi$$a10.34734/FZJ-2025-02469
001041837 037__ $$aFZJ-2025-02469
001041837 041__ $$aEnglish
001041837 1001_ $$0P:(DE-HGF)0$$aMosqueda-Otero, Marcial$$b0$$eCorresponding author
001041837 1112_ $$a35th Parallel CFD International Conference 2024$$cBonn$$d2024-09-02 - 2024-09-04$$gParCFD 2024$$wGermany
001041837 245__ $$aA Portable Algebraic Implementation for Reliable Overnight Industrial LES
001041837 260__ $$aJülich$$bForschungszentrum Jülich GmbH Zentralbibliothek, Verlag$$c2025
001041837 29510 $$aProceedings of the 35th Parallel CFD International Conference 2024
001041837 300__ $$a119 - 126
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001041837 4900_ $$aSchriften des Forschungszentrums Jülich IAS Series$$v69
001041837 520__ $$aThis work assesses the feasibility of large-scale simulations for industrial applications using a symmetry-preserving discretization method for unstructured collocated grids in LES of turbulent flows. The method ensures stability without artificial dissipation and maintains portability through minimal algebraic kernels. Key challenges are addressed, such as the low arithmetic intensity of sparse linear algebra and efficient computation. A scalability analysis across MPI-only, MPI+OpenMP, and GPU architectures demonstrates the method’s effectiveness in enhancing parallel efficiency and supporting large-scale simulations.
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001041837 7001_ $$0P:(DE-HGF)0$$aAlsalti-Baldellou, Àdel$$b1
001041837 7001_ $$0P:(DE-HGF)0$$aÁlvarez-Farré, Xavi$$b2
001041837 7001_ $$0P:(DE-HGF)0$$aPlana-Riu, Josep$$b3
001041837 7001_ $$0P:(DE-HGF)0$$aColomer, Guillem$$b4
001041837 7001_ $$0P:(DE-HGF)0$$aTrias, Francesc Xavier$$b5
001041837 7001_ $$0P:(DE-HGF)0$$aOliva, Asensio$$b6
001041837 770__ $$z978-3-95806-819-3
001041837 773__ $$a10.34734/FZJ-2025-02469
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