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

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...

Full description

Bibliographic Details
Main Authors: Esteban Garzon, Leonid Yavits, Giovanni Finocchio, Mario Carpentieri, Adam Teman, Marco Lanuzza
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10045679/
Description
Summary: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 <inline-formula> <tex-math notation="LaTeX">$\times $ </tex-math></inline-formula>) and lower write and search energy (&#x2013;73&#x0025; and&#x2013;79&#x0025;, respectively), while also exhibiting smaller area footprint (&#x2013;74&#x0025;). Such benefits are achieved at the expense of reduced search speed.
ISSN:2169-3536