ATAN: A hybrid graph neural network framework for accelerating aging-aware timing analysis
CMOS device aging critically challenges digital circuit design, where conventional timing analysis struggles with the large number of input conditions, standard cells, and process corners. This work proposes ATAN, a novel framework for accelerating aging-aware timing analysis, employing a hybrid graph neural network. S...
Ye-Wei Zhang, Jin-Feng Ye, Hui-Zhen Qiu et al.
· Microelectronics and reliabi... · 0 citations