A Low-Energy DMTJ-Based Ternary Content- Addressable Memory With Reliable Sub-Nanosecond Search Operation

Esteban Garzon, Leonid Yavits, Giovanni Finocchio, Mario Carpentieri, Adam Teman, Marco Lanuzza

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we propose an energy-efficient, reliable, hybrid, 10-transistor/2-Double-Barrier-Magnetic-Tunnel-Junction (10T2DMTJ) non-volatile (NV) ternary content-addressable memory (TCAM) with sub-nanosecond search operation. Our cell design relies on low-energy-demanding MTJs organized in a low-complexity voltage-divider-based circuit along with a simple dynamic logic CMOS matching network, which improves the search reliability. The proposed NV-TCAM was designed in 28 nm FDSOI process and evaluated under exhaustive Monte Carlo simulations. When compared to the best previous proposed NV-TCAMs, our solution achieves lower search error rate (3.8 ×) and lower write and search energy (-73% and-79%, respectively), while also exhibiting smaller area footprint (-74%). Such benefits are achieved at the expense of reduced search speed.

Original languageAmerican English
Pages (from-to)16812-16819
Number of pages8
JournalIEEE Access
Volume11
DOIs
StatePublished - 1 Jan 2023

Keywords

  • Double-barrier MTJ
  • energy-efficiency
  • low-power
  • non-volatile TCAM (NV-TCAM)

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Materials Science
  • General Engineering
  • Electrical and Electronic Engineering

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