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1 Ergebnisse
1
Energy-Efficient ReRAM-Based ML Training via Mixed Pruning ..:
, In:
2023 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)
,
Ogbogu, Chukwufumnanya
;
Soumen, Mohapatra
;
Joardar, Biresh Kumar
... - p. 1-6 , 2023
Link:
https://doi.org/10.1109/ISLPED58423.2023.10244258
RT T1 <cTitle>2023 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)</cTitle>: T1 <Title>Energy-Efficient ReRAM-Based ML Training via Mixed Pruning and Reconfigurable ADC</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10244258&Exemplar=1&LAN=DE A1 Ogbogu, Chukwufumnanya A1 Soumen, Mohapatra A1 Joardar, Biresh Kumar A1 Doppa, Janardhan Rao A1 Heo, Deuk A1 Chakrabarty, Krishnendu A1 Pande, Partha Pratim YR 2023 K1 Training K1 Power demand K1 Computational modeling K1 Memory architecture K1 Random access memory K1 Machine learning K1 System-on-chip K1 ReRAM K1 CNN training K1 Pruning K1 ADC SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ISLPED58423.2023.10244258 DO https://doi.org/10.1109/ISLPED58423.2023.10244258 SF ELIB - SuUB Bremen
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