Bio-inspired computing with resistive memories - Models, architectures and applications

Qing Wu, Beiye Liu, Yiran Chen, Hai Li, Qiuwen Chen, Qinru Qiu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

The traditional Von Neumann architecture has constrained the potential for applying massively parallel architecture to embedded high performance computing where we must optimize the size, weight and power of the system. Inspired by highly parallel biological systems, such as the human brain, the neuromorphic architecture offers a promising novel computing paradigm for compact and energy efficient platforms. The discovery of memristor devices provided the element we need with unprecedented efficiency in realizing such a computing architecture. There are still many challenges left to meet our goal of a fully functional bio-inspired computer. Here we will discuss our research in memristor crossbar based architecture, adaptation of this architecture for cogent confabulation models, and potential applications of the bio-inspired computer.

Original languageEnglish (US)
Title of host publication2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages834-837
Number of pages4
ISBN (Print)9781479934324
DOIs
StatePublished - Jan 1 2014
Event2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014 - Melbourne, VIC, Australia
Duration: Jun 1 2014Jun 5 2014

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Other

Other2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014
CountryAustralia
CityMelbourne, VIC
Period6/1/146/5/14

Keywords

  • architecture
  • bio-inspired
  • confabulation
  • memristor
  • neuromorphic

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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    Wu, Q., Liu, B., Chen, Y., Li, H., Chen, Q., & Qiu, Q. (2014). Bio-inspired computing with resistive memories - Models, architectures and applications. In 2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014 (pp. 834-837). [6865265] (Proceedings - IEEE International Symposium on Circuits and Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCAS.2014.6865265