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1
Flexible Instrumentation for Live On-Chip Debug of Machine ..:
, In:
2021 IEEE 29th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)
,
Noronha, Daniel Holanda
;
Que, Zhiqiang
;
Luk, Wayne
. - p. 20-28 , 2021
Link:
https://doi.org/10.1109/FCCM51124.2021.00011
RT T1 <cTitle>2021 IEEE 29th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)</cTitle>: T1 <Title>Flexible Instrumentation for Live On-Chip Debug of Machine Learning Training on FPGAs</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9444061&Exemplar=1&LAN=DE A1 Noronha, Daniel Holanda A1 Que, Zhiqiang A1 Luk, Wayne A1 Wilton, Steven J. E. YR 2021 SN 2576-2621 K1 Training K1 Instruments K1 Machine learning K1 Inference algorithms K1 System-on-chip K1 Integrated circuit modeling K1 Monitoring K1 On Chip Debug K1 Machine Learning Training K1 Design Ecosystem SP 20 OP 28 LK http://dx.doi.org/https://doi.org/10.1109/FCCM51124.2021.00011 DO https://doi.org/10.1109/FCCM51124.2021.00011 SF ELIB - SuUB Bremen
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