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May 1, 2024Advanced Materials5 citationsOpen Access

Monolithic 3D Integration of Analog RRAM‐Based Computing‐in‐Memory and Sensor for Energy‐Efficient Near‐Sensor Computing (Adv. Mater. 22/2024)

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YDYiwei DuJTJianshi TangYLYijun Li

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Abstract

Near-Sensor Computing In article number 2302658, Jianshi Tang and co-workers demonstrate a prototype M3D-SAIL chip for energy-efficient near-sensor computing by monolithic three-dimensional integration of an IGZO-FET based photosensor array, an analog RRAM-based computing-in-memory array, and Si CMOS logic circuits. A video keyframe-extraction task is implemented, achieving a high classification accuracy of 96.7% and 31.5× lower energy consumption and 1.91× faster computing speed compared to its 2D counterpart.

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Cite This Study

Du et al. (2024) studied this question.

synapsesocial.com/papers/68e6c052b6db643587640375https://doi.org/10.1002/adma.202470164
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