电子与封装2024，Vol.24Issue(11)：1-7,7.DOI:10.16257/j.cnki.1681-1070.2024.0176
基于机器学习的芯片老化状态估计算法研究
Research on Chip Aging State Estimation Algorithm Based on Machine Learning
宋国栋 1邵家康 2陈诚1
作者信息
- 1. 中国电子科技集团公司第五十八研究所,江苏无锡 214035
- 2. 华中科技大学集成电路学院,武汉 430074
- 折叠
摘要
Abstract
With the increasing integration of chips,the number of transistors is also increasing,and the aging rate is accelerating.Because of the high requirement of chip reliability in industrial applications,equipment systems and other fields,it is very important to study the method of estimating chip aging.The existing technical methods of chip aging estimation and early warning are summarized,and the machine learning algorithm is applied to chip aging state estimation.Experimental results show that the extreme gradient boosting tree algorithm has a better effect.Bayesian optimization is carried out on the existing extreme gradient boosting tree algorithm to find the optimal parameters of the model.The mean square error between the estimated state value and the true value by using the optimized algorithm is 0.13-0.25 lower than that before optimization,and the optimized model is more accurate in predicting the results.关键词
芯片老化/机器学习/贝叶斯优化Key words
chip aging/machine learning/Bayesian optimization分类
信息技术与安全科学引用本文复制引用
宋国栋,邵家康,陈诚..基于机器学习的芯片老化状态估计算法研究[J].电子与封装,2024,24(11):1-7,7.
