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1 Ergebnisse
1
EBSP : evolving bit sparsity patterns for hardware-frien..:
, In:
Proceedings of the 59th ACM/IEEE Design Automation Conference
,
Liu, Fangxin
;
Zhao, Wenbo
;
Wang, Zongwu
... - p. 259-264 , 2022
Link:
https://dl.acm.org/doi/10.1145/3489517.3530660
RT T1 <cTitle>Proceedings of the 59th ACM/IEEE Design Automation Conference</cTitle>: T1 <Title>EBSP : evolving bit sparsity patterns for hardware-friendly inference of quantized deep neural networks</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3530660&Exemplar=1&LAN=DE A1 Liu, Fangxin A1 Zhao, Wenbo A1 Wang, Zongwu A1 Chen, Yongbiao A1 He, Zhezhi A1 Jing, Naifeng A1 Liang, Xiaoyao A1 Jiang, Li PB ACM YR 2022 K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Computer systems organization K1 Architectures K1 Other architectures SP 259 OP 264 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3489517.3530660 DO https://dl.acm.org/doi/10.1145/3489517.3530660 SF ELIB - SuUB Bremen
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