Build reliable and efficient neuromorphic design with memristor technology

TitleBuild reliable and efficient neuromorphic design with memristor technology
Publication TypeConference Paper
Year of Publication2019
AuthorsB Li, C Liu, B Yan, and H Li
Conference NameProceedings of the Asia and South Pacific Design Automation Conference, Asp Dac
Date Published01/2019

Neuromorphic computing is a revolutionary approach of computation, which attempts to mimic the human brain's mechanism for extremely high implementation efficiency and intelligence. Latest research studies showed that the memristor technology has a great potential for realizing power- and area-efficient neuromorphic computing systems (NCS). On the other hand, the memristor device processing is still under development. Unreliable devices can severely degrade system performance, which arises as one of the major challenges in developing memristor-based NCS. In this paper, we first review the impacts of the limited reliability of memristor devices and summarize the recent research progress in building reliable and efficient memristor-based NCS. In the end, we discuss the main difficulties and the trend in memristor-based NCS development.