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Build reliable and efficient neuromorphic design with memristor technology

Publication ,  Conference
Li, B; Liu, C; Yan, B; Li, H
Published in: Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC
January 21, 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.

Duke Scholars

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Published In

Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC

DOI

ISBN

9781450360074

Publication Date

January 21, 2019

Start / End Page

224 / 229
 

Citation

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Li, B., Liu, C., Yan, B., & Li, H. (2019). Build reliable and efficient neuromorphic design with memristor technology. In Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC (pp. 224–229). https://doi.org/10.1145/3287624.3288744
Li, B., C. Liu, B. Yan, and H. Li. “Build reliable and efficient neuromorphic design with memristor technology.” In Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC, 224–29, 2019. https://doi.org/10.1145/3287624.3288744.
Li B, Liu C, Yan B, Li H. Build reliable and efficient neuromorphic design with memristor technology. In: Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC. 2019. p. 224–9.
Li, B., et al. “Build reliable and efficient neuromorphic design with memristor technology.” Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC, 2019, pp. 224–29. Scopus, doi:10.1145/3287624.3288744.
Li B, Liu C, Yan B, Li H. Build reliable and efficient neuromorphic design with memristor technology. Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC. 2019. p. 224–229.

Published In

Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC

DOI

ISBN

9781450360074

Publication Date

January 21, 2019

Start / End Page

224 / 229