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1 Ergebnisse
1
FastTuner: Transferable Physical Design Parameter Optimizat..:
, In:
Proceedings of the 2024 International Symposium on Physical Design
,
Hsiao, Hao-Hsiang
;
Lu, Yi-Chen
;
Vanna-Iampikul, Pruek
. - p. 93-101 , 2024
Link:
https://dl.acm.org/doi/10.1145/3626184.3633328
RT T1 <cTitle>Proceedings of the 2024 International Symposium on Physical Design</cTitle>: T1 <Title>FastTuner: Transferable Physical Design Parameter Optimization using Fast Reinforcement Learning</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3633328&Exemplar=1&LAN=DE A1 Hsiao, Hao-Hsiang A1 Lu, Yi-Chen A1 Vanna-Iampikul, Pruek A1 Lim, Sung Kyu PB ACM YR 2024 K1 physical design K1 reinforcement learning K1 Computing methodologies K1 Machine learning K1 Hardware K1 Electronic design automation K1 Physical design (EDA) SP 93 OP 101 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3626184.3633328 DO https://dl.acm.org/doi/10.1145/3626184.3633328 SF ELIB - SuUB Bremen
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