Title
Machine Learning for Circuit Aging Estimation under Workload Dependency
Abstract
Circuit analysis with respect to aging-induced degradation is critical to ensure correct operation throughout the entire lifetime of a chip. However, state-of-the-art techniques only allow for the consideration of uniformly applied degradation, despite the fact that different workloads will lead to different degradations due to the different induced activities. This imposes over-pessimism in estim...
Year
DOI
Venue
2021
10.1109/ITC50571.2021.00011
2021 IEEE International Test Conference (ITC)
Keywords
DocType
ISSN
machine learning,transistor aging,reliability
Conference
1089-3539
ISBN
Citations 
PageRank 
978-1-6654-1695-5
1
0.44
References 
Authors
0
2
Name
Order
Citations
PageRank
Florian Klemme192.39
Hussam Amrouch225150.22