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1 Ergebnisse
1
Ultra-Low Power DNN Accelerators for IoT : Resource Char..:
, In:
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems
,
Moss, Arthur
;
Lee, Hyunjong
;
Xun, Lei
... - p. 934-940 , 2022
Link:
https://dl.acm.org/doi/10.1145/3560905.3568300
RT T1 <cTitle>Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems</cTitle>: T1 <Title>Ultra-Low Power DNN Accelerators for IoT : Resource Characterization of the MAX78000</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3568300&Exemplar=1&LAN=DE A1 Moss, Arthur A1 Lee, Hyunjong A1 Xun, Lei A1 Min, Chulhong A1 Kawsar, Fahim A1 Montanari, Alessandro PB ACM YR 2022 K1 edge accelerators K1 neural networks K1 resource characterisation K1 Computer systems organization K1 Embedded and cyber-physical systems K1 Embedded systems K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Embedded software SP 934 OP 940 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3560905.3568300 DO https://dl.acm.org/doi/10.1145/3560905.3568300 SF ELIB - SuUB Bremen
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