Ternary Content Addressable Memory With Ferroelectric Non-Volatile Capacitor

In this letter, a ferroelectric field effect transistor (FeFET)-based charge-domain ternary content addressable memory (TCAM) is experimentally demonstrated for in-memory search. Specifically, foundry based FeFETs are configured in non-volatile capacitor (nvCAP) mode for charge-domain computation. A single TCAM cell consisting of 2 nvCAPs (i.e. two FeFETs) is used to perform the Store: bit ‘0’, ‘1’, ‘X’ and Search: bit ‘0’, ‘1’, ‘X’ operations. Further, SPICE simulations are performed to evaluate the feasibility of a scaled nvCAP device in a large TCAM array. The low C<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${}_{\mathbf {\textit {ON}}}$ </tex-math></inline-formula>/C<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${}_{\mathbf {\textit {OFF}}}$ </tex-math></inline-formula> ratio of a scaled device can lead to false-positive matchings, which can be countered by introducing a dummy column and input dependent charge cancellation. Finally, the charge-domain nvCAP TCAM is benchmarked against other proposed candidates, showing a <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\sim 1.5\times $ </tex-math></inline-formula> improvement in energy efficiency over FeFET based current domain TCAM, and a <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\sim 3.3\times $ </tex-math></inline-formula> improvement compared to resistive random access memory (RRAM) based TCAM.

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Publication Details

Journal
IEEE Electron Device Letters
Published
2025-03-22
DOI
https://doi.org/10.1109/led.2025.3553473
Citations
3
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
2.19

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article

Ternary Content Addressable Memory With Ferroelectric Non-Volatile Capacitor

Halid Mulaosmanovic, Omkar Phadke, James Read, Po-Kai Hsu et al.
3 citations
IEEE Electron Device Letters
Advanced Memory and Neural Computing
2.19
article

Ternary Content Addressable Memory With Ferroelectric Non-Volatile Capacitor

Halid Mulaosmanovic, Omkar Phadke, James Read, Po-Kai Hsu, Junmo Lee, Shimeng Yu, Yuan-Chun Luo, Stefan Dünkel, Janak Sharda, V. Garg, Sven Beyer
article en
3 citations

Abstract

In this letter, a ferroelectric field effect transistor (FeFET)-based charge-domain ternary content addressable memory (TCAM) is experimentally demonstrated for in-memory search. Specifically, foundry based FeFETs are configured in non-volatile capacitor (nvCAP) mode for charge-domain computation. A single TCAM cell consisting of 2 nvCAPs (i.e. two FeFETs) is used to perform the Store: bit ‘0’, ‘1’, ‘X’ and Search: bit ‘0’, ‘1’, ‘X’ operations. Further, SPICE simulations are performed to evaluate the feasibility of a scaled nvCAP device in a large TCAM array. The low C<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${}_{\mathbf {\textit {ON}}}$ </tex-math></inline-formula>/C<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${}_{\mathbf {\textit {OFF}}}$ </tex-math></inline-formula> ratio of a scaled device can lead to false-positive matchings, which can be countered by introducing a dummy column and input dependent charge cancellation. Finally, the charge-domain nvCAP TCAM is benchmarked against other proposed candidates, showing a <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\sim 1.5\times $ </tex-math></inline-formula> improvement in energy efficiency over FeFET based current domain TCAM, and a <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\sim 3.3\times $ </tex-math></inline-formula> improvement compared to resistive random access memory (RRAM) based TCAM.

IEEE Electron Device LettersVol. 46(5)
Georgia Institute of Technology (US), GlobalFoundries (Germany) (DE)
Defense Advanced Research Projects Agency
Openalex Percentile: Top 13%
Advanced Memory and Neural Computing
2.19
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