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1 Ergebnisse
1
Accelerating attention through gradient-based learned runti..:
, In:
Proceedings of the 49th Annual International Symposium on Computer Architecture
,
Li, Zheng
;
Ghodrati, Soroush
;
Yazdanbakhsh, Amir
.. - p. 902-915 , 2022
Link:
https://dl.acm.org/doi/10.1145/3470496.3527423
RT T1 <cTitle>Proceedings of the 49th Annual International Symposium on Computer Architecture</cTitle>: T1 <Title>Accelerating attention through gradient-based learned runtime pruning</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3527423&Exemplar=1&LAN=DE A1 Li, Zheng A1 Ghodrati, Soroush A1 Yazdanbakhsh, Amir A1 Esmaeilzadeh, Hadi A1 Kang, Mingu PB ACM YR 2022 K1 accelerators K1 attention mechanism K1 deep learning K1 gradient-based optimization K1 learned pruning K1 neural processing units K1 self-attention K1 transformer K1 Hardware K1 Very large scale integration design K1 Application-specific VLSI designs K1 Application specific integrated circuits SP 902 OP 915 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3470496.3527423 DO https://dl.acm.org/doi/10.1145/3470496.3527423 SF ELIB - SuUB Bremen
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