A RRAM-based associative memory cell

Yihan Pan, Patrick Foster, Alex Serb, Themis Prodromakis

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

Abstract

In general, intelligent systems require knowledge databases storing memory associations for mimicking the capabilities of the human brain. Conventional associative memory cells are constructed based on SRAM, a type of volatile memory consisting of large numbers of transistors per stored bit. Here, we present an energy efficient, robust and hardware friendly-associative memory cell design that we designate RC-XNOR-Z. It is based on creating a tuneable RC constant with the help of a modifiable resistance element (RRAM), plus a simplified XNOR gate for generating the output. The overall design has a total component count of 6T1C1R (6 transistors, 1 capacitor, 1 RRAM device), is non-volatile, is designed to work with RRAM devices with very low ON/OFF ratio (≈4), avoids high current DC paths during misses and operates under power supply of 0.95V. Furthermore, we show expected simulated power dissipation per miss including refresh in the order of single-digit nW/bit and power dissipation/hit in the order of 10 µW, which for a clock rate of 1GHz translates into aJ and 100s of pJ dissipation accordingly. This is competitive with state of art DRAM and SRAM.

Original languageEnglish
Title of host publication2021 IEEE International Symposium on Circuits and Systems, ISCAS 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728192017
DOIs
Publication statusPublished - 27 Apr 2021
Event53rd IEEE International Symposium on Circuits and Systems, ISCAS 2021 - Daegu, Korea, Republic of
Duration: 22 May 202128 May 2021

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume2021-May
ISSN (Print)0271-4310

Conference

Conference53rd IEEE International Symposium on Circuits and Systems, ISCAS 2021
Country/TerritoryKorea, Republic of
CityDaegu
Period22/05/2128/05/21

Keywords

  • Associative memory
  • Content addressable memory
  • RRAM

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