Nonvolatile Crossbar 2D2R TCAM with Cell Size of 16.3 F 2 and K-means Clustering for Power Reduction

Keji Zhou, Xiaoyong Xue, Jianguo Yang, Xiaoxin Xu, Hangbing Lv, Mingyu Wang, Mingre Jing, Wenjun Liu, Xiaoyang Zeng, Steve S. Chung, Jing Li, Ming Liu

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

2 Scopus citations

Abstract

A 28nm 16Kb nonvolatile ternary content addressable memory (nvTCAM) test chip based on logic-compatible resistive memory (ReRAM) is demonstrated with high density and low power for packet routing in network applications. The crossbar array exhibits a smallest cell size of 16.3F 2 by using 2-diode-2-ReRAM (2D2R) nvTCAM cell, useful for further 3-dimension (3D) stacking. K-means clustering is employed to allocate the storage of routing table entry for given bank count. Then the search of destination IP address can be classified and confined to a specific bank, reducing active banks for power saving. Evaluations show >3X improvement in cell density and >70% reduction in search energy with limited overhead in silicon area for bank count of four.

Original languageEnglish
Title of host publication2018 IEEE Asian Solid-State Circuits Conference, A-SSCC 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages135-138
Number of pages4
ISBN (Electronic)9781538664124
DOIs
StatePublished - 14 Dec 2018
Event2018 IEEE Asian Solid-State Circuits Conference, A-SSCC 2018 - Tainan, Taiwan
Duration: 5 Nov 20187 Nov 2018

Publication series

Name2018 IEEE Asian Solid-State Circuits Conference, A-SSCC 2018 - Proceedings

Conference

Conference2018 IEEE Asian Solid-State Circuits Conference, A-SSCC 2018
CountryTaiwan
CityTainan
Period5/11/187/11/18

Keywords

  • 2D2R
  • Crossbar
  • K-means Clustering
  • Machine Learning
  • TCAM

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