Hierarchical power delivery network analysis via bipartite markov chains

Pei Yu Huang*, Yu-Min Lee

*Corresponding author for this work

研究成果: Article同行評審

摘要

This paper proposes a Markov-chain-based hierarchical method to efficiently analyze the power delivery network. After the network is partitioned into several sub-networks, each sub-network is transformed into a local Markov chain. Then, the connectivity between all the sub-networks is modeled as a global Markov chain by using a novel technique called parallel-street-walk. Finally, these local and global Markov chains are integrated in order to build a hierarchical bipartite Markov chain engine to analyze the power delivery network. The experimental results not only demonstrate the accuracy of our proposed method when compared with a very accurate time-domain solver, INDUCTWISE [2], but also show a significant runtime improvement- over 200 times faster than the INDUCTWISE and over 10 times faster than the IEKS method [3] - and low memory consumption.

原文English
頁(從 - 到)121-132
頁數12
期刊International Journal of Electrical Engineering
16
發行號2
出版狀態Published - 1 四月 2009

指紋 深入研究「Hierarchical power delivery network analysis via bipartite markov chains」主題。共同形成了獨特的指紋。

引用此