A fast power network optimization algorithm for improving dynamic IR-drop

Jai Ming Lin, Yang Tai Kung, Zheng Yu Huang, I. Ru Chen

研究成果: Conference contribution

摘要

As the power consumption of an electronic equipment varies more severely, the device voltages in a modern design may fluctuate violently as well. Consideration of dynamic IR-drop becomes indispensable to current power network design. Since solving voltage violations according to all power consumption files in all time slots is impractical in reality, this paper applies a clustering based approach to find representative power consumption files and shows that most IR-drop violations can be repaired if we repair the power network according to these files. In order to further reduce runtime, we also propose an efficient and effective power network optimization approach. Compared to the intuitive approach which repairs a power network file by file, our approach alternates between different power consumption files and always repairs the file which has the worst IR-drop violation region that involves more power consumption files in each iteration. Since many violations can be resolved at the same time, this method is much faster than the iterative approach. The experimental results show that the proposed algorithm can not only eliminate voltage violations efficiently but also construct a power network with less routing resource.

原文English
主出版物標題ISPD 2021 - Proceedings of the 2021 International Symposium on Physical Design
發行者Association for Computing Machinery
頁面91-98
頁數8
ISBN(電子)9781450383004
DOIs
出版狀態Published - 2021 三月 22
事件2021 ACM International Symposium on Physical Design, ISPD 2021 - Virtual, Online, United States
持續時間: 2021 三月 222021 三月 24

出版系列

名字Proceedings of the International Symposium on Physical Design

Conference

Conference2021 ACM International Symposium on Physical Design, ISPD 2021
國家/地區United States
城市Virtual, Online
期間21-03-2221-03-24

All Science Journal Classification (ASJC) codes

  • 電氣與電子工程

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