Design and Analysis of Low Power Content Addressable Memory

碩士 === 國立臺灣大學 === 電機工程學研究所 === 96 === Content addressable memories (CAMs) are hardware-based parallel lookup tables with bit-level masking capability. They are attractive for applications such as packet forwarding and classification in network routers. Despite the attractive features of CAMs, high p...

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Bibliographic Details
Main Authors: Yu-Chu Tsai, 蔡育筑
Other Authors: 賴飛羆
Format: Others
Language:en_US
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/28806351695469393094
Description
Summary:碩士 === 國立臺灣大學 === 電機工程學研究所 === 96 === Content addressable memories (CAMs) are hardware-based parallel lookup tables with bit-level masking capability. They are attractive for applications such as packet forwarding and classification in network routers. Despite the attractive features of CAMs, high power consumption is one of the most critical challenges faced by CAM designers, This work proposes circuit techniques for reducing CAM power consumption. The main contribution of this work is reduction in match line (ML) sensing energy, and static-power reduction techniques. The ML sensing energy is reduced by employing positive-feedback ML sense amplifiers (MLSAs). We simulate the circuit with TSMC 0.18 μm process at 1.8 V. The simulation results of the postive-feedback MLSA show 86.3% reduction in ML power-delay product. Finally, design and analysis of a complete CAM circuit are presented, and compared with other published designs.