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001     1042287
005     20250822121437.0
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|a 10.34734/FZJ-2025-02503
037 _ _ |a FZJ-2025-02503
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100 1 _ |0 P:(DE-HGF)0
|a Tsai, Yu-Hsiang M.
|b 0
111 2 _ |a 35th Parallel CFD International Conference 2024
|c Bonn
|d 2024-09-02 - 2024-09-04
|g ParCFD 2024
|w Germany
245 _ _ |a Portable Linear Solvers for High-Order Spectral Element Methods on GPUs
260 _ _ |a Jülich
|b Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag
|c 2025
295 1 0 |a Proceedings of the 35th Parallel CFD International Conference 2024
300 _ _ |a 253 - 256
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490 0 _ |a Schriften des Forschungszentrums Jülich IAS Series
|v 69
520 _ _ |a 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.
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536 _ _ |0 G:(EU-Grant)101118139
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|a Olenik, Gregor
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|a Herten, Andreas
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700 1 _ |0 P:(DE-HGF)0
|a Anzt, Hartwig
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|e Corresponding author
770 _ _ |z 978-3-95806-819-3
773 _ _ |a 10.34734/FZJ-2025-02503
856 4 _ |u https://juser.fz-juelich.de/record/1042287/files/164.pdf
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