Application of Correlation-Based Regression Analysis for Improvement of Power Distribution Network
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概要
- 論文の詳細を見る
Stochastic approaches for effective power distribution network optimization are proposed. Considering node voltages obtained using dynamic voltage drop analysis as sample variables, multi-variate regression is conducted to optimize clock timing metrics, such as clock skew or jitter. Aggregate correlation coefficient (ACC) which quantifies connectivity between different chip regions is defined in order to find a possible insufficiency in wire connections of a power distribution network. Based on the ACC, we also propose a procedure using linear regression to find the most effective region for improving clock timing metrics. By using the proposed procedure, effective fixing point were obtained two orders faster than by using brute force circuit simulation.
- （社）電子情報通信学会の論文
- 2008-04-01
著者
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Masu Kazuya
Integrated Research Institute
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Tanoi Satoru
東工大
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Masu Kazuya
東工大
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HAGIWARA Shiho
Integrated Research Institute, Tokyo Institute of Technology
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SATO Takashi
Integrated Research Institute, Tokyo Institute of Technology
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UEZONO Takumi
Integrated Research Institute, Tokyo Institute of Technology
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SATO Takashi
Graduate School of Informatics, Kyoto University
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Uezono Takumi
Integrated Research Institute Tokyo Institute Of Technology
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Hagiwara Shiho
Integrated Research Institute Tokyo Institute Of Technology
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Sato Takashi
Graduate School Of Informatics Kyoto University
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Masu Kazuya
Solutions Research Laboratory Tokyo Institute Of Technology
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