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Equiprobability-Based Local Response Surface Method for High-Sigma Yield Estimation with Both High Accuracy and Efficiency

IEEE transactions on computer-aided design of integrated circuits and systems(2023)

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摘要
With the ever-increasing transistor density and memory capability in integrated circuits, the high-sigma yield estimation has become a growing concern. This work presents an equiprobability-based local response surface (ELRS) method that can perform a high-sigma yield estimation with both high accuracy and efficiency. Demonstrating with 6T-SRAM, the proposed method exhibits more than ten times improvement in accuracy when compared with the state-of-the-art while maintaining the efficiency to the best record in the literature.
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关键词
Response surface methodology,Yield estimation,Probability density function,Monte Carlo methods,Surface treatment,Random access memory,Integrated circuit modeling,High sigma,Monte Carlo (MC),rare events,response surface
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