Design Considerations of Selector Device in Cross-Point RRAM Array for Neuromorphic Computing

Jiyong Woo, Xiaochen Peng, Shimeng Yu

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

15 Scopus citations

Abstract

We investigate the impact of selector device in cross-point resistive switching memory (RRAM) array on weighted sum operation in the neural network. The requirement of selector devices in a neuromorphic system may be different than that in a conventional memory system. In this work, we developed Verilog-A device models to accurately describe current-voltage (I-V) characteristics of one-selector and one-RRAM (1S-1R) devices obtained experimentally, and then performed the array-level SPICE simulations for weighted sum operation. The weighted sum accuracy is benchmarked as a function of selector non-linearity, array size, and wire resistance. Our results reveal that linearity of the I-V curve in the 1S-1R device with respect to input vector plays an important role in precisely reading-out the weighted sum. Finally, we discuss the desired characteristics of the selector device to be used for the inference stage of the neuromorphic systems.

Original languageEnglish (US)
Title of host publication2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538648810
DOIs
StatePublished - Apr 26 2018
Event2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Florence, Italy
Duration: May 27 2018May 30 2018

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume2018-May
ISSN (Print)0271-4310

Other

Other2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018
Country/TerritoryItaly
CityFlorence
Period5/27/185/30/18

Keywords

  • RRAM
  • neuromorphic computing
  • resistive switching
  • selector
  • weighted sum

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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