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Ultra-Low Power 3D NC-FinFET-based Monolithic 3D                                                 +                                                  -IC with Computing-in-Memory for Intelligent IoT Devices
Conference paper

Ultra-Low Power 3D NC-FinFET-based Monolithic 3D + -IC with Computing-in-Memory for Intelligent IoT Devices

Fu-Kuo Hsueh, Wei-Hao Chen, Kai-Shin Li, Chang-Hong Shen, Jia-Min Shieh, Chun Ying Lee, Bo-Yuan Chen, Hsiu-Chih Chen, Chih-Chao Yang, Wen-Hsien Huang, …
Technical Digest - International Electron Devices Meeting, IEDM, Vol.2018-December, pp.15.1.1-15.1.4
01/2019
Appears in  keyword about Physics

Abstract

Electronic Optical and Magnetic Materials Condensed Matter Physics Electrical and Electronic Engineering Materials Chemistry
For the first time, ultra-low power ferroelectric FinFET-based monolithic 3D <sup>+</sup> -IC technology was demonstrated for near memory computing (NMC) circuit. Key enablers are ICP-SiO <sub>2</sub> interfacial layer, doped hafnia ferroelectric gate dielectric layer (HfZrO <sub>2</sub> ), and far-infrared laser activation. The proposed stackable 3D NC-FinFETs thus fabricated exhibit record-low sub-threshold swing (NC-nFinFET: 45mV/dec and NC-pFinFET: 50mV/dec) and high I <sub>on</sub> /I <sub>off</sub> (>10 <sup>6</sup> ) that enable ultra-low power operation ( V DD=100 mV) of CMOS inverter and SRAM. Moreover, above mentioned features of NC-FinFETs and the differential output of SRAM readout enable 50+% area reduction in the near-memory computing circuitry.

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