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@INPROCEEDINGS{MosquedaOtero:1041837,
author = {Mosqueda-Otero, Marcial and Alsalti-Baldellou, Àdel and
Álvarez-Farré, Xavi and Plana-Riu, Josep and Colomer,
Guillem and Trias, Francesc Xavier and Oliva, Asensio},
title = {{A} {P}ortable {A}lgebraic {I}mplementation for {R}eliable
{O}vernight {I}ndustrial {LES}},
volume = {69},
address = {Jülich},
publisher = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
reportid = {FZJ-2025-02469},
series = {Schriften des Forschungszentrums Jülich IAS Series},
pages = {119 - 126},
year = {2025},
comment = {Proceedings of the 35th Parallel CFD International
Conference 2024},
booktitle = {Proceedings of the 35th Parallel CFD
International Conference 2024},
abstract = {This 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.},
month = {Sep},
date = {2024-09-02},
organization = {35th Parallel CFD International
Conference 2024, Bonn (Germany), 2 Sep
2024 - 4 Sep 2024},
typ = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
doi = {10.34734/FZJ-2025-02469},
url = {https://juser.fz-juelich.de/record/1041837},
}