
Worst-case Power Integrity Prediction Using Convolutional Neural Network
Author(s) -
Dong Xiao,
Yufei Chen,
Jun Chen,
Yucheng Wang,
Ji Li,
Tianming Ni,
Zhiguo Shi,
Xunzhao Yin,
Cheng Zhuo
Publication year - 2023
Publication title -
acm transactions on design automation of electronic systems
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.266
H-Index - 51
eISSN - 1557-7309
pISSN - 1084-4309
DOI - 10.1145/3564932
Subject(s) - computer science , speedup , power integrity , convolutional neural network , scalability , signal integrity , redundancy (engineering) , reliability (semiconductor) , artificial neural network , overhead (engineering) , noise (video) , power (physics) , robustness (evolution) , artificial intelligence , parallel computing , computer network , biochemistry , physics , chemistry , quantum mechanics , database , interconnection , image (mathematics) , gene , operating system