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1 Ergebnisse
1
DOTA: detect and omit weak attentions for scalable transfor..:
, In:
Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems
,
Qu, Zheng
;
Liu, Liu
;
Tu, Fengbin
... - p. 14-26 , 2022
Link:
https://dl.acm.org/doi/10.1145/3503222.3507738
RT T1 <cTitle>Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems</cTitle>: T1 <Title>DOTA: detect and omit weak attentions for scalable transformer acceleration</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3507738&Exemplar=1&LAN=DE A1 Qu, Zheng A1 Liu, Liu A1 Tu, Fengbin A1 Chen, Zhaodong A1 Ding, Yufei A1 Xie, Yuan PB ACM YR 2022 K1 SW-HW Co-design K1 Sparse Architecture K1 Transformer Acceleration K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Computer systems organization K1 Architectures K1 Other architectures K1 Neural networks SP 14 OP 26 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3503222.3507738 DO https://dl.acm.org/doi/10.1145/3503222.3507738 SF ELIB - SuUB Bremen
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