Litcius/Paper detail

Non-Volatile Majority Function Logic Using Ferroelectric Memory for Logic in Memory Technology

Junghyeon Hwang, Sehee Lim, Giuk Kim, Seong‐Ook Jung, Sanghun Jeon

2022IEEE Electron Device Letters20 citationsDOI

Abstract

We demonstrate that a non-volatile majority function logic is formed by a 1T-nC <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$_{storage}$ </tex-math></inline-formula> -1C <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$_{read}$ </tex-math></inline-formula> cell in which a hafnia ferroelectric capacitor is used for computing in memory ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CiM</i> ) and nonvolatile logic-in-memory (NV- <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">LiM</i> ). We show a write operation of low voltage ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$&lt; 3\text{V}$ </tex-math></inline-formula> ) and high speed (< 20ns), with improved <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\vphantom {_{\int }}$ </tex-math></inline-formula> endurance characteristics over 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">11</sup> cycles by adopting a novel write and read method. We performed a circuit-level analysis of an NV 1bit full adder. This adder achieves a power-delay-area product that is 4.8 and 53.5 times higher than the previous FeFET-based 1bit full adder when approximate computing is excluded and applied, respectively.

Topics & Concepts

AlgorithmAdderNotationArithmeticComputer scienceMathematicsTelecommunicationsLatency (audio)Ferroelectric and Negative Capacitance DevicesAdvanced Memory and Neural ComputingSemiconductor materials and devices