MACSen: A Processing-In-Sensor Architecture Integrating MAC Operations Into Image Sensor for Ultra-Low-Power BNN-Based Intelligent Visual Perception
IEEE Transactions on Circuits and Systems II: Express Briefs(2021)
摘要
Current BNN-based visual system wastes lots of energy in data conversion and movement, hindering its deployment on battery-powered devices. This brief proposes MACSen, an ultra-low-power processing-in-sensor (PIS) architecture which integrates sensing with computing and directly outputs the computation results. The multiply-and-accumulation (MAC) operation in BNN is fused with the Correlated Double Sampling (CDS) procedure together to save data conversion power. A 4 × 4 MACSen prototype of 180nm process was fabricated for demonstration, and it achieves the frame rate of 1000fps and the energy efficiency of 1.32TOP/s/W in computation mode. Furthermore, the system demonstration on MNIST dataset classification task shows that the hardware BNN implementation integrating MACSen incurs no accuracy degradation and gains 61% energy saving compared with state-of-the-art work.
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关键词
Processing-in-sensor,smart sensors,BNN,visual perception,ultra-low-power
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