Low Power Mixed-Signal Binarized CNN Processor

被引：0

作者：

Chan, Chi Hong ^{[1
]}

Lei, Yuan ^{[1
]}

Luo, Peng ^{[1
]}

Lin, Sheng ^{[1
]}

Huo, Xiao ^{[1
]}

Li, Yiu Kei ^{[1
]}

Ieong, Mei Kei ^{[1
]}

机构：

[1] United Microelect Ctr Hong Kong Ltd, Hong Kong, Peoples R China

来源：

2021 5TH IEEE ELECTRON DEVICES TECHNOLOGY & MANUFACTURING CONFERENCE (EDTM) | 2021年

关键词：

Mixed Signal; Binarized Convolution Neural Network;

D O I：

10.1109/EDTM50988.2021.9420927

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Binarized Convolutional Neural Network (CNN) processor with mixed signal implementation has demonstrated ultra-low power operation capability in recent years. However low power advantage is valid at low signal to noise ratio (SNR) regimes, which limits the network size could be used thus sacrifice the computation capability. A mixed-signal binarized CNN processor, with group-based binarized CNN architecture is introduced. The SNR requirement of mixed signal processing is relaxed without sacrifices the network capability.

引用

页数：3

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