Aging and IC timing estimation at high level : methodology and simulation

Nowadays, more and more performance is expected from digital circuits. What’s more, the market requires fast conception methods, in order to propose the newest technology available. Fast conception methods and the utilization of MPSoC have enabled high performance and short time-to-market while taking little attention to aging. However, MPSoC are more and more prone to hardware failures that occur in transistors. Today, the prevailing failure mechanisms in MPSoC are HCI and NBTI. Margins are usually added on new products to avoid failures during execution, by considering worst case scenario for each mechanism. For the newest technology, margins are becoming more and more important and products performance is getting lower and lower. That’s why the conception needs to take into account hardware failures according to the execution of software. This thesis propose a new methodology to simulate aging at high level of abstraction, which can be applied to MPSoC. The method can be applied during product conception, between the specification phase and the production. An empirical model is used to estimate slack time at circuit's end of life. A use case is conducted on an embedded processor and degradation results are reported for a set of applications. The solution enables architecture exploration and MPSoC aging can thus be compared. The software with most severe impact on aging can also be determined.

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Source https://theses.hal.science/tel-00952867
Author Bertolini, Clément
Maintainer CCSD
Last Updated May 6, 2026, 05:22 (UTC)
Created May 6, 2026, 05:22 (UTC)
Identifier NNT: 2013BOR14968
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire de l'intégration, du matériau au système (IMS) ; Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)
creator Bertolini, Clément
date 2013-12-13T00:00:00
harvest_object_id fcc9f188-b935-4d68-9e95-361152a605d9
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-31T00:00:00
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