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001041259 037__ $$aFZJ-2025-02193
001041259 041__ $$aEnglish
001041259 1001_ $$0P:(DE-Juel1)201930$$aBartolomeu, Rodrigo$$b0
001041259 1112_ $$aParallel Processing and Applied Mathematics$$cOstrava$$d2024-09-08 - 2024-09-11$$gPPAM2024$$wCzech Republic
001041259 245__ $$aAssessing the Performance of Portable Programming Models Across GPU Vendors for the N-Body Problem
001041259 260__ $$aCham$$bSpringer Nature Switzerland$$c2025
001041259 29510 $$aParallel Processing and Applied Mathematics
001041259 300__ $$a119 - 133
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001041259 4900_ $$aLecture Notes in Computer Science$$v15580
001041259 520__ $$aWith the inclusion of Aurora in the TOP500 list in November 2023 three different GPU (Graphics Processing Unit) vendors are represented in the top 10 of the list. Each vendor has its own preferred model for programming GPUs. For this paper we implemented the N-body problem using portable programming frameworks and the vendors’ preferred APIs. We show how the performance of the portable solutions compares to the performance of the native solution on each hardware both in absolute numbers and as fraction of the achievable peak performance.
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001041259 536__ $$0G:(EU-Grant)101093169$$aMultiXscale - Centre of Excellence in exascale-oriented application co-design and delivery for multiscale simulations (101093169)$$c101093169$$fHORIZON-EUROHPC-JU-2021-COE-01$$x1
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001041259 7001_ $$0P:(DE-Juel1)132124$$aHalver, Rene$$b1
001041259 7001_ $$0P:(DE-Juel1)132189$$aMeinke, Jan$$b2
001041259 7001_ $$0P:(DE-Juel1)132274$$aSutmann, Godehard$$b3$$eCorresponding author
001041259 770__ $$aParallel Processing and Applied Mathematics$$z978-3-031-85700-3
001041259 773__ $$a10.1007/978-3-031-85700-3_9$$p119-133
001041259 8564_ $$uhttps://juser.fz-juelich.de/record/1041259/files/Bartolomeu2025b_Assessing_proof.pdf$$yRestricted
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001041259 9141_ $$y2025
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