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Investigating the effect of approximate multipliers on the ..:
, In:
2023 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)
,
Pappalardo, Salvatore
;
Piri, Ali
;
Ruospo, Annachiara
... - p. 1-6 , 2023
Link:
https://doi.org/10.1109/DFT59622.2023.10313535
RT T1
2023 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)
: T1
Investigating the effect of approximate multipliers on the resilience of a systolic array DNN accelerator
UL https://suche.suub.uni-bremen.de/peid=ieee-10313535&Exemplar=1&LAN=DE A1 Pappalardo, Salvatore A1 Piri, Ali A1 Ruospo, Annachiara A1 O'Connor, Ian A1 Deveautour, Bastien A1 Sanchez, Ernesto A1 Bosio, Alberto YR 2023 SN 2765-933X K1 Measurement K1 Costs K1 Redundancy K1 Fault tolerant systems K1 Artificial neural networks K1 Systolic arrays K1 Real-time systems K1 reliability K1 neural networks K1 approximate computing K1 hardware accelerator SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/DFT59622.2023.10313535 DO https://doi.org/10.1109/DFT59622.2023.10313535 SF ELIB - SuUB Bremen
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