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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},
}