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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ndltd-TW-096NTU054420732016-05-11T04:16:51Z http://ndltd.ncl.edu.tw/handle/28806351695469393094 Design and Analysis of Low Power Content Addressable Memory 低功率內容可定址記憶體之設計與分析 Yu-Chu Tsai 蔡育筑 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. 賴飛羆 2008 學位論文 ; thesis 59 en_US |
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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.
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author2 |
賴飛羆 |
author_facet |
賴飛羆 Yu-Chu Tsai 蔡育筑 |
author |
Yu-Chu Tsai 蔡育筑 |
spellingShingle |
Yu-Chu Tsai 蔡育筑 Design and Analysis of Low Power Content Addressable Memory |
author_sort |
Yu-Chu Tsai |
title |
Design and Analysis of Low Power Content Addressable Memory |
title_short |
Design and Analysis of Low Power Content Addressable Memory |
title_full |
Design and Analysis of Low Power Content Addressable Memory |
title_fullStr |
Design and Analysis of Low Power Content Addressable Memory |
title_full_unstemmed |
Design and Analysis of Low Power Content Addressable Memory |
title_sort |
design and analysis of low power content addressable memory |
publishDate |
2008 |
url |
http://ndltd.ncl.edu.tw/handle/28806351695469393094 |
work_keys_str_mv |
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