Nanodevice-Based Novel Computing Paradigms And The Neuromorphic Approach

2012 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS 2012)(2012)

引用 35|浏览24
暂无评分
摘要
Deep submicron (<90nm) Integrated Circuits (IC) suffer from both high static and dynamic power consumption, which are caused respectively by the growing leakage currents and large capacitance bus traffic. Nanodevice based novel computing paradigms are currently under intense investigation to overcome these issues and build up the next generation ICs performing with higher power efficiency and operating performance. In this paper, an overview and current status of this field is first presented, and then we focus on the memristive nanodevices based neuromorphic approach, which is considered as one of the most promising computing paradigms for power reduction and process variation or defect tolerance.
更多
查看译文
关键词
integrated circuits,nanoelectronics,memristors,neural nets,conductors,low power electronics,materials,power efficiency,unsupervised learning,leakage current,process variation
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要