@inproceedings{3bfc91c27c8646bc99b344c7004de0e0,
title = "Late Breaking Results: PVT-Sensitive Delay Fitting for High-Performance Computing",
abstract = "Aggressively monitoring and tracking system-on-chip (SoC) performance under process/voltage/temperature (PVT) variations is essential for high-performance computing systems. This work observes that different chips of the same SoC design may have different PVT-to-delay sensitivities, which must be carefully considered for accurate chip performance tracking. A learning-based method is then proposed to fit critical path delay for different chips with different PVT-to-delay sensitivities. Experimental results based on the fabricated chip samples of a 7nm SoC have justified the effectiveness of the proposed PVT-sensitive delay fitting method. Compared with the state-of-the-art, our method can achieve excellent performance tracking accuracy when the chip performance is dominated by different critical paths under different PVT conditions.",
author = "Wang, {Ding Hao} and Hsu, {Shuo Hung} and Yang, {Shu Hsiang} and Lin, {Pei Ju} and Yang, {Hui Ting} and Lin, {Mark Po Hung}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 60th ACM/IEEE Design Automation Conference, DAC 2023 ; Conference date: 09-07-2023 Through 13-07-2023",
year = "2023",
doi = "10.1109/DAC56929.2023.10247900",
language = "English",
series = "Proceedings - Design Automation Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 60th ACM/IEEE Design Automation Conference, DAC 2023",
address = "美國",
}