Abstract:
This paper shows new insights on the stochastic nature of aging-related timing impact in digital circuits. Varying critical paths through aging trigger the need for aging...Show MoreMetadata
Abstract:
This paper shows new insights on the stochastic nature of aging-related timing impact in digital circuits. Varying critical paths through aging trigger the need for aging compensation control loop based on an unsupervised machine learning algorithm. Adaptive Resonance Theory (ART) algorithm is favored for its ability to handle the stability-plasticity dilemma.
Published in: 2017 IEEE International Test Conference (ITC)
Date of Conference: 31 October 2017 - 02 November 2017
Date Added to IEEE Xplore: 01 January 2018
ISBN Information:
Electronic ISSN: 2378-2250