Work

Towards Low-Power High-Performance Content-Addressable Memory: A Robust Precharge-Free Approach

Year: 2025

Type: conference-paper

Abstract: Low-Power high-performance content-addressable memories (CAMs) are important components in modern computing systems. In this work, we present a robust CAM that overcomes the power and performance limitations of conventional precharge-based CAMs. The proposed static transmission gate-based (STAT-TG) CAM design achieves low-power operation comparable to NAND CAMs while maintaining search speeds rivaling those of NOR CAMs. The STAT-TG CAM was designed using a 65nm CMOS technology and comprehensively evaluated under extensive Monte Carlo simulations. Compared to conventional CAMs, the STAT-TG CAM is 14% faster than NAND CAM, while consuming only 25% of the energy per operation relative to NOR CAM. This makes STAT-TG CAM a promising solution for high-performance yet energy-efficient applications.

Source: IEEE International Symposium on Circuits and Systems proceedings

DOI: 10.1109/iscas56072.2025.11043920

Authors: Ramiro Taco, Esteban Garzón, Adam Teman, Leonid Yavits, Marco Lanuzza

Institutions: University of Calabria, Bar-Ilan University

Language: English

Topic: Low-power high-performance VLSI design

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W4411724829

FWCI:

Cites: 26

Cited by:

Related to: 10