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DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extrem..:
Garofalo, Angelo
;
Tortorella, Yvan
;
Perotti, Matteo
...
IEEE Open Journal of the Solid-State Circuits Society. 2 (2022) - p. 231-243 , 2022
Link:
https://doi.org/10.1109/ojsscs.2022.3210082
RT Journal T1
DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training
UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_ojsscs.2022.3210082&Exemplar=1&LAN=DE A1 Garofalo, Angelo A1 Tortorella, Yvan A1 Perotti, Matteo A1 Valente, Luca A1 Nadalini, Alessandro A1 Benini, Luca A1 Rossi, Davide A1 Conti, Francesco PB Institute of Electrical and Electronics Engineers (IEEE) YR 2022 SN 2644-1349 JF IEEE Open Journal of the Solid-State Circuits Society VO 2 SP 231 OP 243 LK http://dx.doi.org/https://doi.org/10.1109/ojsscs.2022.3210082 DO https://doi.org/10.1109/ojsscs.2022.3210082 SF ELIB - SuUB Bremen
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