Presentation
STA Accuracy Validation: A Machine Learning Approach
DescriptionStatic Timing Analysis (STA) plays a critical role in the design of high-performance digital integrated circuits, ensuring reliable operation under varying process conditions. This paper introduces a machine learning (ML) based approach to the problem of selecting relevant timing paths for STA accuracy validation. The proposed method helps significantly the tasks of timing path classification, important circuit feature identification and timing tool accuracy prediction. Also, the proposed approach provides relevant timing path samples that capture the timing characteristics of the entire design. The final analysis of the tested sample paths' accuracy informs the design methodology recommendations to EDA.
Event Type
Work in Progress
TimeMonday, July 276:41pm - 6:42pm PDT
LocationExhibit Hall
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