Late Breaking Results: PVT-Sensitive Delay Fitting for High-Performance Computing

Ding Hao Wang*, Shuo Hung Hsu, Shu Hsiang Yang, Pei Ju Lin, Hui Ting Yang, Mark Po Hung Lin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2023 60th ACM/IEEE Design Automation Conference, DAC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350323481
DOIs
StatePublished - 2023
Event60th ACM/IEEE Design Automation Conference, DAC 2023 - San Francisco, United States
Duration: 9 Jul 202313 Jul 2023

Publication series

NameProceedings - Design Automation Conference
Volume2023-July
ISSN (Print)0738-100X

Conference

Conference60th ACM/IEEE Design Automation Conference, DAC 2023
Country/TerritoryUnited States
CitySan Francisco
Period9/07/2313/07/23

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