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1 Ergebnisse
1
Reusing GEMM Hardware for Efficient Execution of Depthwise ..:
, In:
Proceedings of the 28th Asia and South Pacific Design Automation Conference
,
Manasi, Susmita Dey
;
Banerjee, Suvadeep
;
Davare, Abhijit
... - p. 475-482 , 2023
Link:
https://dl.acm.org/doi/10.1145/3566097.3567863
RT T1 <cTitle>Proceedings of the 28th Asia and South Pacific Design Automation Conference</cTitle>: T1 <Title>Reusing GEMM Hardware for Efficient Execution of Depthwise Separable Convolution on ASIC-Based DNN Accelerators</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3567863&Exemplar=1&LAN=DE A1 Manasi, Susmita Dey A1 Banerjee, Suvadeep A1 Davare, Abhijit A1 Sorokin, Anton A. A1 Burns, Steven M. A1 Kirkpatrick, Desmond A. A1 Sapatnekar, Sachin S. PB ACM YR 2023 K1 deep learning accelerator K1 depthwise convolution K1 lightweight CNN K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Hardware K1 Very large scale integration design K1 Application-specific VLSI designs K1 Application specific integrated circuits SP 475 OP 482 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3566097.3567863 DO https://dl.acm.org/doi/10.1145/3566097.3567863 SF ELIB - SuUB Bremen
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