RRAM-based Spiking Nonvolatile Computing-In-Memory Processing Engine with Precision-Configurable In Situ Nonlinear Activation

• Published in: 2019 Symposium on VLSI Technology pp. T86 - T87
• Main Authors: Yan, Bonan, Yang, Qing, Chen, Wei-Hao, Chang, Kung-Tang, Su, Jian-Wei, Hsu, Chien-Hua, Li, Sih-Han, Lee, Heng-Yuan, Sheu, Shyh-Shyuan, Ho, Mon-Shu, Wu, Qing, Chang, Meng-Fan, Chen, Yiran, Li, Hai
• Format: Conference Proceeding
• Language: English
• Published: The Japan Society of Applied Physics 01.06.2019
• Subjects: activation precision; Analog-digital conversion; computing in memory; Current measurement; Engines; nonvolatile emerging memory; Power measurement; processing engine; RRAM; spiking; Synapses; Very large scale integration; Voltage measurement

This work presents a hybrid CMOS-RRAM integration of spiking nonvolatile computing-in-memory (nvCIM) processing engine (PE) that includes a 64Kb RRAM macro and a novel in situ nonlinear activation (ISNA) module. We integrate the computing controller and nonlinear activation function on-chip to compu...