Compact and High-Performance TCAM Based on Scaled Double-Gate FeFETs

Autor:	Liu, Liu, Kumar, Shubham, Thomann, Simon, Chauhan, Yogesh Singh, Amrouch, Hussam, Hu, Xiaobo Sharon
Rok vydání:	2023
Předmět:	Computer Science - Emerging Technologies
Druh dokumentu:	Working Paper
Popis:	Ternary content addressable memory (TCAM), widely used in network routers and high-associativity caches, is gaining popularity in machine learning and data-analytic applications. Ferroelectric FETs (FeFETs) are a promising candidate for implementing TCAM owing to their high ON/OFF ratio, non-volatility, and CMOS compatibility. However, conventional single-gate FeFETs (SG-FeFETs) suffer from relatively high write voltage, low endurance, potential read disturbance, and face scaling challenges. Recently, a double-gate FeFET (DG-FeFET) has been proposed and outperforms SG-FeFETs in many aspects. This paper investigates TCAM design challenges specific to DG-FeFETs and introduces a novel 1.5T1Fe TCAM design based on DG-FeFETs. A 2-step search with early termination is employed to reduce the cell area and improve energy efficiency. A shared driver design is proposed to reduce the peripherals area. Detailed analysis and SPICE simulation show that the 1.5T1Fe DG-TCAM leads to superior search speed and energy efficiency. The 1.5T1Fe TCAM design can also be built with SG-FeFETs, which achieve search latency and energy improvement compared with 2FeFET TCAM. Comment: Accepted by Design Automation Conference (DAC) 2023
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2304.03868 Zobrazit plný text záznamu View this record from Arxiv