Real-Time Dynamic IR-drop Prediction for IR ECO

During the IR Engineering Change Order (ECO) stage, cell moving leads to uncertain IR-drop results, requiring designers to explore multiple ECO candidates in each iteration to find a solution that effectively mitigates IR-drop, resulting in a long evaluation time. Although machine learning (ML)-base...

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Vydané v:	2025 62nd ACM/IEEE Design Automation Conference (DAC) s. 1 - 7
Hlavní autori:	Lee, Yu-Che, Chen, Yu-Hsuan, Cheng, Yu-Chen, Chang, Yong-Fong, Lin, Jia-Wei, Pao, Hsun-Wei, Chen, Yung-Chih, Li, Yi-Ting, Tang, Wuqian, Chang, Shih-Chieh, Wang, Chun-Yao
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 22.06.2025
Predmet:	Design automation Estimation Machine learning Predictive models Real-time systems
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