%0 Conference Paper
%A Tsai, Yu-Hsiang M.
%A Olenik, Gregor
%A Herten, Andreas
%A Bode, Mathis
%A Anzt, Hartwig
%T Portable Linear Solvers for High-Order Spectral Element Methods on GPUs
%V 69
%C Jülich
%I Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag
%M FZJ-2025-02503
%B Schriften des Forschungszentrums Jülich IAS Series
%P 253 - 256
%D 2025
%< Proceedings of the 35th Parallel CFD International Conference 2024
%X The diversification in hardware architectures has become a challenge for computational science: software stacks implemented for a specific hardware architecture often fail to port to other systems. To counter this problem, simulation software stacks increasingly rely on portability layers or software stacks that feature backends for different hardware architectures. We present Ginkgo, a math library that takes platform portability as a central design principle and can be used for numerical calculations in the nekRS CFD code. A runtime and scalability analysis for CFD applications demonstrates that Ginkgo enables platform portability at high performance and scalability.
%B 35th Parallel CFD International Conference 2024
%C 2 Sep 2024 - 4 Sep 2024, Bonn (Germany)
Y2 2 Sep 2024 - 4 Sep 2024
M2 Bonn, Germany
%F PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
%9 Contribution to a conference proceedingsContribution to a book
%R 10.34734/FZJ-2025-02503
%U https://juser.fz-juelich.de/record/1042287