@inproceedings{c9a5157af0624318bb77e6c12dc96a85,
title = "Towards Low-Power High-Performance Content-Addressable Memory: A Robust Precharge-Free Approach",
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.",
keywords = "CAM, Content-Addressable Memory, Low-Power, NAND CAM, NOR CAM, Precharge-Free",
author = "Ramiro Taco and Esteban Garz{\'o}n and Adam Teman and Leonid Yavits and Marco Lanuzza",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE International Symposium on Circuits and Systems, ISCAS 2025 ; Conference date: 25-05-2025 Through 28-05-2025",
year = "2025",
month = jan,
day = "1",
doi = "10.1109/ISCAS56072.2025.11043920",
language = "English",
series = "Proceedings - IEEE International Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers",
booktitle = "ISCAS 2025 - IEEE International Symposium on Circuits and Systems, Proceedings",
address = "United States",
}
