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1 Ergebnisse
1
Auto-tuning Mixed-precision Computation by Specifying Multi..:
, In:
2023 Eleventh International Symposium on Computing and Networking (CANDAR)
,
Ren, Xuanzhengbo
;
Kawai, Masatoshi
;
Hoshino, Tetsuya
.. - p. 175-181 , 2023
Link:
https://doi.org/10.1109/CANDAR60563.2023.00031
RT T1 <cTitle>2023 Eleventh International Symposium on Computing and Networking (CANDAR)</cTitle>: T1 <Title>Auto-tuning Mixed-precision Computation by Specifying Multiple Regions</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10406158&Exemplar=1&LAN=DE A1 Ren, Xuanzhengbo A1 Kawai, Masatoshi A1 Hoshino, Tetsuya A1 Katagiri, Takahiro A1 Nagai, Toru YR 2023 SN 2379-1896 K1 Uncertainty K1 Computational modeling K1 Atmospheric modeling K1 Clouds K1 Machine learning K1 Benchmark testing K1 Task analysis K1 Mixed-precision K1 Auto-tuning K1 Multiple Regions K1 ppOpen-AT SP 175 OP 181 LK http://dx.doi.org/https://doi.org/10.1109/CANDAR60563.2023.00031 DO https://doi.org/10.1109/CANDAR60563.2023.00031 SF ELIB - SuUB Bremen
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