Analysis of RRAM Reliability Soft-Errors on the Performance of RRAM-Based Neuromorphic Systems
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7985547/7987474/07987496.pdf?arnumber=7987496
Cited by 12 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. Artificial synaptic devices based on biomimetic electrochemistry: A review;Materials Research Bulletin;2024-08
2. A Neuromorphic Spiking Neural Network Using Time-to-First-Spike Coding Scheme and Analog Computing in Low-Leakage 8T SRAM;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2024-05
3. Aggressive SRAM Voltage Scaling and Error Mitigation for Approximate DNN Inference;Proceedings of the 2nd Workshop on Smart Wearable Systems and Applications;2023-10-02
4. On-Line Fault Protection for ReRAM-Based Neural Networks;IEEE Transactions on Computers;2023-02-01
5. A Novel Cascadable TCAM Using RRAM and Current Race Scheme for High-Speed Energy-Efficient Applications;IEEE Transactions on Nanotechnology;2023
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