Southeast University

Mengxiao Li

Jun Yang

Peng Cao

Jingjing Guo

Bingqian Xu

A method for predicting the fluctuation of circuit path delay on the basis of machine learning, comprising the following steps: S1: selecting suitable sample characteristics by means of analyzing the relationship between circuit characteristics and path delay; S2: generating a random path by means of enumerating values of randomized parameters, acquiring the maximum path delay by means of performing Monte Carlo simulation on the random path, selecting a reliable path by means of the 3σ standard, and using the sample characteristics and path delay of the reliable path as a sample set (D); S3: establishing a path delay prediction model, and adjusting parameters of the model; S4: verifying the precision and stability of the path delay prediction model; S5: obtaining the path delay. The method for predicting the fluctuation of circuit path delay on the basis of machine learning has the advantages of high precision and low running time, thereby having remarkable advantages in the accuracy and efficiency of timing analysis.

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Jiangsu, China

Mengxiao Li