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

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

2023IEEE Access18 citationsDOIOpen Access PDF

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 28nm 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.

Topics & Concepts

Computer scienceContent-addressable memoryTransistorEnergy (signal processing)VoltageTernary operationCMOSNanosecondProcess (computing)Reliability (semiconductor)Monte Carlo methodComputer hardwareElectronic engineeringElectrical engineeringPhysicsArtificial neural networkEngineeringOperating systemMachine learningQuantum mechanicsPower (physics)MathematicsLaserProgramming languageStatisticsOpticsNetwork Packet Processing and OptimizationFerroelectric and Negative Capacitance DevicesAdvanced Memory and Neural Computing
A Low-Energy DMTJ-Based Ternary Content- Addressable Memory With Reliable Sub-Nanosecond Search Operation | Litcius