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1 Ergebnisse
1
Tolerating Defects in Low-Power Neural Network Accelerators..:
Hosseini, Fateme S.
;
Meng, Fanruo
;
Yang, Chengmo
..
ACM Transactions on Embedded Computing Systems. 20 (2021) 5s - p. 1-21 , 2021
Link:
https://doi.org/10.1145/3477016
RT Journal T1 <Title>Tolerating Defects in Low-Power Neural Network Accelerators Via Retraining-Free Weight Approximation</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1145_3477016&Exemplar=1&LAN=DE A1 Hosseini, Fateme S. A1 Meng, Fanruo A1 Yang, Chengmo A1 Wen, Wujie A1 Cammarota, Rosario PB Association for Computing Machinery (ACM) YR 2021 SN 1539-9087 SN 1558-3465 JF ACM Transactions on Embedded Computing Systems VO 20 IS 5s SP 1 OP 21 LK http://dx.doi.org/https://doi.org/10.1145/3477016 DO https://doi.org/10.1145/3477016 SF ELIB - SuUB Bremen
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