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

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationISCAS 2025 - IEEE International Symposium on Circuits and Systems, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350356830
DOIs
StatePublished - 2025
Event2025 IEEE International Symposium on Circuits and Systems, ISCAS 2025 - London, United Kingdom
Duration: 25 May 202528 May 2025

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Conference

Conference2025 IEEE International Symposium on Circuits and Systems, ISCAS 2025
Country/TerritoryUnited Kingdom
CityLondon
Period25/05/2528/05/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

Keywords

  • CAM
  • Content-Addressable Memory
  • Low-Power
  • NAND CAM
  • NOR CAM
  • Precharge-Free

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