Neuromorphic In-Memory RRAM NAND/NOR Circuit Performance Analysis in a CNN Training Framework on the Edge for Low Power IoT-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Neuromorphic In-Memory RRAM NAND/NOR Circuit Performance Analysis in a CNN Training Framework on the Edge for Low Power IoT

Published:2022 Issue: Volume:10 Page:125112-125135
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Prabhu Nagaraj Lakshmana¹^ORCID,Raghavan Nagarajan¹^ORCID

Affiliation:

1. Engineering Product Development (EPD) Pillar, Singapore University of Technology and Design, Tampines, Singapore

Funder

A*STAR through the Brain Efficient Nanomechanical Artificial Intelligence Computing (BRENAIC) Programmatic Research

Ministry of Education (MOE), Singapore, through the Research Student Scholarship (RSS) at SUTD

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09936672.pdf?arnumber=9936672

Reference49 articles.

1. An introduction to convolutional neural networks;o’shea;arXiv 1511 08458,2015

2. Network in network;lin;arXiv 1312 4400,2013

3. A Compact Model for Relaxation Effect in Analog RRAM for Computation-in-Memory System Design and Benchmark

4. MINT: Mixed-Precision RRAM-Based IN-Memory Training Architecture

5. RRAM for Compute-in-Memory: From Inference to Training

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improved resistive switching characteristics observed in amorphous boron nitride-based RRAM device via oxygen doping: A study based on bulk and interface traps analysis;Materials Science in Semiconductor Processing;2024-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3