Title
“Green” micro-architecture and circuit co-design for ternary content addressable memory
Abstract
In this paper, an energy-efficient and high performance ternary content addressable memory (TCAM) are presented. It employs the concept of "green" microarchitecture and circuit co-design. For achieving energy-efficient TCAM architecture, hierarchy search-line scheme and butterfly match-line scheme are proposed. Moreover, the match-lines are also implemented by noise-tolerant XOR-based conditional keeper and don't-care based power gating scheme to reduce not only search time but power consumption. In order to reduce increasing leakage power with advanced technologies, furthermore, the proposed TCAM design employs super cut-off power gating technique and multi-mode data-retention power gating technique to reduce leakage currents without reducing search time and destroying noise margin. An energy-efficient 256times144 TCAM array is implemented in TSMC 0.13 um and designed in 65 nm Berkeley Predictive Technology Model, respectively. The simulation results show the leakage power reduction is 70.7% and energy metric of TCAM macro is 0.047 fJ/bit/search.
Year
DOI
Venue
2008
10.1109/ISCAS.2008.4542169
ISCAS
Keywords
Field
DocType
multimode data-retention power gating,leakage current,leakage currents,circuit codesign,hierarchy search-line scheme,green microarchitecture,butterfly match-line scheme,logic design,integrated circuit design,ternary content addressable memory,cut-off power gating,content-addressable storage,size 0.13 mum,associative memory,energy efficiency,noise reduction,computer aided manufacturing,energy efficient
Logic synthesis,Content-addressable memory,Leakage (electronics),Computer science,Electronic engineering,Integrated circuit design,Power gating,Content-addressable storage,Computer hardware,Noise margin,Microarchitecture
Conference
ISSN
ISBN
Citations 
0271-4302
978-1-4244-1684-4
5
PageRank 
References 
Authors
0.58
7
4
Name
Order
Citations
PageRank
Po-tsang Huang113021.23
Shu-Wei Chang251.93
Wen-yen Liu350.58
Wei Hwang425444.40