2023
DOI: 10.1021/acsaelm.2c01414
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Machine Learning Application for Output Capacitance Accuracy Improvement: A Case Study for Combinational Cells

Abstract: The lack of physical information at the early gate-level Netlist makes timing accuracy a significant challenge. Advancing in the physical design flow reduces the timing inaccuracy gap in the cell’s delay estimation, where the physical layout information is no longer estimated. This paper aims to improve the cell delay accuracy of Oasys-RTL Synthesis by predicting the cell’s output capacitance using Machine Learning algorithms. We trained and tested various ML Regression algorithms to predict the Oasys-RTL cell… Show more

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