@inproceedings{0c4735f36f8048ac822e37a63a87b4b4,
title = "Selective sensor placement for cost-effective online aging monitoring and resilience",
abstract = "Aggressive technology scaling trends, such as thinner gate oxide without proportional downscaling of supply voltage, aggravate the aging impact and thus necessitate an aging-aware reliability verification and optimization framework during early design stages. In this paper, we propose a novel in-situ sensing strategy based on deploying transition detectors (TDs), for on-chip aging monitoring and resilience. Transformed into the set cover problem and then formulated into maximum satisfiability, the proposed problem of TD/sensor placement can be solved efficiently. Experimental results show that, by introducing at most 2.2% area overhead (for TD/sensor placement), the aging behavior of a target circuit can be effectively monitored, and the correctness of its functionality can be perfectly guaranteed with an average of 77% aging resilience achieved. In other words, with 2.2% area overhead, potential aging-induced timing errors can be detected and then eliminated, while achieving 77% recovery from aging-induced performance degradation.",
keywords = "Aging monitoring/resilience, Sensor placement, Transition detector",
author = "Chang, {Hao Chun} and Huang, {Li An} and Wu, {Kai Chiang} and Chen, {Yu Guang}",
note = "Publisher Copyright: {\textcopyright} 2020 Copyright held by the owner/author(s).; 23rd International Symposium on Physical Design, ISPD 2020 ; Conference date: 29-03-2020 Through 01-04-2020",
year = "2020",
month = sep,
day = "20",
doi = "10.1145/3372780.3375556",
language = "???core.languages.en_GB???",
series = "Proceedings of the International Symposium on Physical Design",
publisher = "Association for Computing Machinery",
pages = "95--102",
booktitle = "ISPD 2020 - Proceedings of the 2020 International Symposium on Physical Design",
}