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1 Ergebnisse
1
Harnessing the Crowd for Autotuning High-Performance Comput..:
, In:
2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
,
Cho, Younghyun
;
Demmel, James W.
;
King, Jacob
... - p. 635-645 , 2023
Link:
https://doi.org/10.1109/IPDPS54959.2023.00069
RT T1 <cTitle>2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS)</cTitle>: T1 <Title>Harnessing the Crowd for Autotuning High-Performance Computing Applications</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10177466&Exemplar=1&LAN=DE A1 Cho, Younghyun A1 Demmel, James W. A1 King, Jacob A1 Li, Xiaoye S. A1 Liu, Yang A1 Luo, Hengrui YR 2023 SN 1530-2075 K1 Distributed processing K1 Tuners K1 Codes K1 Sensitivity analysis K1 Databases K1 High performance computing K1 Transfer learning K1 autotuning K1 crowd-based autotuning K1 transfer learning K1 sensitivity analysis K1 Exascale Computing Project SP 635 OP 645 LK http://dx.doi.org/https://doi.org/10.1109/IPDPS54959.2023.00069 DO https://doi.org/10.1109/IPDPS54959.2023.00069 SF ELIB - SuUB Bremen
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