학술논문
A 28nm Nonvolatile AI Edge Processor using 4Mb Analog-Based Near-Memory-Compute ReRAM with 27.2 TOPS/W for Tiny AI Edge Devices
Document Type
Conference
Author
Source
2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits) VLSI Technology and Circuits (VLSI Technology and Circuits), 2023 IEEE Symposium on. :1-2 Jun, 2023
Subject
Language
ISSN
2158-9682
Abstract
Tiny AI edge processors prefer using nvCIM to achieve low standby power, high energy efficiency (EF), and short wakeupto-response latency (T WR ). Most nvCIMs use in-memory computing for MAC operations; however, this imposes a tradeoff between EF and accuracy, due to MAC accumulationnumber (N ACU ) versus signal margin and readout quantization. To achieve high EF and high accuracy, we developed a systemlevel nvCIM-friendly control scheme and a nvCIM macro with two analog near-memory computing schemes. The proposed 28nm nonvolatile AI edge processor with 4Mb ReRAMnvCIM achieved high EF (27.2 TOPS/W), short T WR (3.19 ms), and low accuracy loss (