Modeling a Floating-Gate Memristive Device for Computer Aided Design of Neuromorphic Computing

L. Danial, V. Gupta, E. Pikhay, Y. Roizin, S. Kvatinsky

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Memristive technology is still not mature enough for the very large-scale integration necessary to obtain practical value from neuromorphic computing. While nonvolatile floating-gate synapse transistors have been implemented in very large-scale integrated neuromorphic systems, their large footprint still constrains an upper bound on the overall performance. A two-terminal floating-gate memristive device can combine the technological maturity of the floating-gate transistor and the conceptual novelty of the memristor using a standard CMOS process. In this paper, we present a top-down computer aided design framework of the floating-gate memristive device and show its potential in neuromorphic computing. Our framework includes a Verilog-A model, small-signal schematics, a stochastic model, Monte-Carlo simulations, layout, DRC, LVS, and RC extraction.

Original languageEnglish
Title of host publicationProceedings of the 2020 Design, Automation and Test in Europe Conference and Exhibition, DATE 2020
EditorsGiorgio Di Natale, Cristiana Bolchini, Elena-Ioana Vatajelu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages472-477
Number of pages6
ISBN (Electronic)9783981926347
DOIs
StatePublished - Mar 2020
Externally publishedYes
Event2020 Design, Automation and Test in Europe Conference and Exhibition, DATE 2020 - Grenoble, France
Duration: 9 Mar 202013 Mar 2020

Publication series

NameProceedings of the 2020 Design, Automation and Test in Europe Conference and Exhibition, DATE 2020

Conference

Conference2020 Design, Automation and Test in Europe Conference and Exhibition, DATE 2020
Country/TerritoryFrance
CityGrenoble
Period9/03/2013/03/20

Keywords

  • CAD
  • Floating-gate
  • VLSI
  • artificial neural networks
  • device modeling
  • flash memory
  • memristors
  • neuromorphic computing

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