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1 Ergebnisse
1
GRAFT: GNN-based Adaptive Framework for Efficient CGRA Mapp..:
, In:
2023 International Conference on Field Programmable Technology (ICFPT)
,
Li, Jiangnan
;
Cai, Chang
;
Zhao, Yaya
... - p. 26-34 , 2023
Link:
https://doi.org/10.1109/ICFPT59805.2023.00008
RT T1 <cTitle>2023 International Conference on Field Programmable Technology (ICFPT)</cTitle>: T1 <Title>GRAFT: GNN-based Adaptive Framework for Efficient CGRA Mapping</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10416096&Exemplar=1&LAN=DE A1 Li, Jiangnan A1 Cai, Chang A1 Zhao, Yaya A1 Yan, Yazhou A1 Yin, Wenbo A1 Wang, Lingli YR 2023 SN 2837-0449 K1 Scalability K1 Throughput K1 Routing K1 Graph neural networks K1 Reconfigurable architectures K1 Resource management K1 Tuning K1 Reconfigurable Architecture Intermediate Representation K1 Graph Neural Network K1 CGRA Mapping SP 26 OP 34 LK http://dx.doi.org/https://doi.org/10.1109/ICFPT59805.2023.00008 DO https://doi.org/10.1109/ICFPT59805.2023.00008 SF ELIB - SuUB Bremen
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