arrow
返回

An ultrafast bipolar flash memory for self-activated in-memory computing

delete2023-03-20
delete43
PRE
AI
X
Xiaohe Huang
C
Chunsen Liu
Z
Zhaowu Tang
S
Senfeng Zeng
王
王水源 (Shuiyuan Wang)
周鹏 封面图
周鹏 (Peng Zhou) *
DOI:10.1038/s41565-023-01339-wdelete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
In-memory computing could enhance computing energy efficiency by directly implementing multiply accumulate (MAC) operations in a crossbar memory array with low energy consumption (around femtojoules for a single operation). However, a crossbar memory array cannot execute nonlinear activation; moreover, activation processes are power-intensive (around milliwatts), limiting the overall efficiency of in-memory computing. Here we develop an ultrafast bipolar flash memory to execute self-activated MAC operations. Based on atomically sharp van der Waals heterostructures, the basic flash cell has an ultrafast n/p program speed in the range of 20-30 ns and an endurance of 8 x 10(6) cycles. Utilizing sign matching between the input voltage signal and the storage charge type, our bipolar flash can realize a rectified linear unit activation function during the MAC process with a power consumption for each operation of just 30 nW (or 5 fJ of energy). Using a convolutional neural network, we find that the self-activated MAC method has a simulated accuracy of 97.23%, tested on the Modified National Institute of Standards and Technology dataset, which is close to the conventional method where the MAC and activation operations are separated. A flash memory device fabricated with atomically sharp van der Waals heterostructures shows a programming speed of 20-30 ns and power consumption in the nanowatt region.
Keyword:
NETWORK

期刊

Nature Nanotechnology 封面图
Nature Nanotechnology
IF:
34.9
论文数:
4.8K
被引数:
8.1W

机构

F
fudan university
学者数:
11.8W
论文数: 7.7W
被引数: 121
引用论文

引用论文

Should Genetic Testing be Offered for Children? The Perspectives of Adolescents and Emerging Adults in Families with Li‐Fraumeni Syndrome
err2017-03-16
err0
errOAAI
errMelissa A. Alderfer; Robert B. Lindell; Claire I. Viadro; Kristin Zelley; Jessica Valdez; Belinda Mandrell; Carol A. Ford; Kim E. Nichols
err分享
err收藏
err
IF0
err
err0
PREAI
err
err分享
err收藏
A Patient-Specific Methodology for Prediction of Paroxysmal Atrial Fibrillation Onset
err2017-09-14
err0
errOAAI
errElisabetta De Giovanni; Amir Aminifar; Adrian Luca; Sasan Yazdani; Jean-Marc Vesin; David Atienza
err分享
err收藏
Atomically sharp interface enabled ultrahigh-speed non-volatile memory devices原子锐利的接口使能超高速非易失性存储器件
err2021-05-03
err150
errOAAI
errWu, Liangmei; Wang, Aiwei; Shi, Jinan; Yan, Jiahao; Zhou, Zhang; Bian, Ce; Ma, Jiajun; Ma, Ruisong; Liu, Hongtao; Chen, Jiancui; Huang, Yuan; Zhou, Wu; Bao, Lihong; Ouyang, Min; Pennycook, Stephen J.; Pantelides, Sokrates T.; Gao, Hong-Jun
err分享
err收藏
A fully integrated reprogrammable memristor-CMOS system for efficient multiply-accumulate operations完全集成的可重新编程的忆阻器-CMOS系统,用于有效的乘法累加操作
err2019-07-15
err532
PREAI
errCai, Fuxi; Correll, Justin M.; Lee, Seung Hwan; Lim, Yong; Bothra, Vishishtha; Zhang, Zhengya; Flynn, Michael P.; Lu, Wei D.
err分享
err收藏
学者 查看更多内容