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@ARTICLE{Bartolomeu:1040907,
author = {Bartolomeu, Rodrigo and Halver, René and Meinke, Jan H.
and Sutmann, Godehard},
title = {{E}ffect of implementations of the {N}-body problem on the
performance and portability across {GPU} vendors},
journal = {Future generation computer systems},
volume = {169},
issn = {0167-739X},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2025-02051},
pages = {107802},
year = {2025},
abstract = {Since Aurora entered the TOP500 list in November 2023, the
top ten systems saw some shifts in the ratio of GPU vendors
represented. With each vendor supplying their own preferred
programming models for their hardware, it becomes relevant
to compare the portability of these models on other hardware
platforms. For the present paper we implemented the N-body
problem with different optimizations using native and
portable programming frameworks. For each of those we
determined the best performing optimized version on one
target architecture and compared the performance achieved
for each platform.},
cin = {JSC},
ddc = {004},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
(SDLs) and Research Groups (POF4-511) / MultiXscale - Centre
of Excellence in exascale-oriented application co-design and
delivery for multiscale simulations (101093169)},
pid = {G:(DE-HGF)POF4-5111 / G:(EU-Grant)101093169},
typ = {PUB:(DE-HGF)16},
UT = {WOS:001453111900001},
doi = {10.1016/j.future.2025.107802},
url = {https://juser.fz-juelich.de/record/1040907},
}