Machine Learning based SET Propagation Prediction for Large Scale Integrated Circuits
2021 IEEE 14th International Conference on ASIC (ASICON)(2021)
摘要
This paper presents a machine learning based SET propagation prediction method. A back propagation neural network (BPNN) is implemented in the proposed method. It is used to calculate the SET propagation probability to flip-flops. Compared with the conventional SET propagation simulation method, the proposed method achieves similar SET propagation probability results with the runtime improvement. ...
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关键词
Runtime,Radiation hardening (electronics),Conferences,Neural networks,Machine learning,Prediction methods,Probability
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