The University of Southampton
University of Southampton Institutional Repository

Multi-path ageing sensor for cost-efficient delay fault prediction

Multi-path ageing sensor for cost-efficient delay fault prediction
Multi-path ageing sensor for cost-efficient delay fault prediction
Aggressive technology scaling has accelerated the susceptibility of CMOS devices to aging effects. Consequently, the speed of a path can degrade significantly over time; this results in delay faults. Dynamic reliability management schemes have been proposed to ensure an IC's lifetime reliability. Such schemes are typically based on the use of aging sensors to predict a circuit's failure before errors actually appear. Existing aging sensors are usually placed on the circuit's longest delay paths, which are deemed to be the most vulnerable to delay faults. However, complex designs typically have a large number of long delay paths that need to be monitored. Such approaches are very costly and may be infeasible. This work proposes a new aging sensor, capable of monitoring multiple paths concurrently. The proposed sensor has been designed at transistor level using a 32nm technology and applied to a 32-bit MIPS to monitor 10 paths concurrently. Our results show that using the proposed sensor for monitoring 10 paths can save 197.1% and 97.1% in area overheads compared to Razor and Canary, respectively.
Delays, ircuit faults, Monitoring, Aging, Circuit stability, Clocks
1057-7130
491-495
Sai, Gaole
6fc26dc4-af9d-4409-9de4-7b639846da85
Halak, Basel
8221f839-0dfd-4f81-9865-37def5f79f33
Zwolinski, Mark
adfcb8e7-877f-4bd7-9b55-7553b6cb3ea0
Sai, Gaole
6fc26dc4-af9d-4409-9de4-7b639846da85
Halak, Basel
8221f839-0dfd-4f81-9865-37def5f79f33
Zwolinski, Mark
adfcb8e7-877f-4bd7-9b55-7553b6cb3ea0

Sai, Gaole, Halak, Basel and Zwolinski, Mark (2018) Multi-path ageing sensor for cost-efficient delay fault prediction. IEEE Transactions on Circuits and Systems Part II: Analog and Digital Signal Processing, 65 (4), 491-495. (doi:10.1109/TCSII.2017.2732028).

Record type: Article

Abstract

Aggressive technology scaling has accelerated the susceptibility of CMOS devices to aging effects. Consequently, the speed of a path can degrade significantly over time; this results in delay faults. Dynamic reliability management schemes have been proposed to ensure an IC's lifetime reliability. Such schemes are typically based on the use of aging sensors to predict a circuit's failure before errors actually appear. Existing aging sensors are usually placed on the circuit's longest delay paths, which are deemed to be the most vulnerable to delay faults. However, complex designs typically have a large number of long delay paths that need to be monitored. Such approaches are very costly and may be infeasible. This work proposes a new aging sensor, capable of monitoring multiple paths concurrently. The proposed sensor has been designed at transistor level using a 32nm technology and applied to a 32-bit MIPS to monitor 10 paths concurrently. Our results show that using the proposed sensor for monitoring 10 paths can save 197.1% and 97.1% in area overheads compared to Razor and Canary, respectively.

Text
Final Version - Accepted Manuscript
Available under License Creative Commons Attribution.
Download (577kB)

More information

Accepted/In Press date: 24 July 2017
e-pub ahead of print date: 26 July 2017
Published date: 1 April 2018
Keywords: Delays, ircuit faults, Monitoring, Aging, Circuit stability, Clocks

Identifiers

Local EPrints ID: 413397
URI: http://eprints.soton.ac.uk/id/eprint/413397
ISSN: 1057-7130
PURE UUID: 5e408511-a66e-4652-bf01-c65685e1448f
ORCID for Basel Halak: ORCID iD orcid.org/0000-0003-3470-7226
ORCID for Mark Zwolinski: ORCID iD orcid.org/0000-0002-2230-625X

Catalogue record

Date deposited: 23 Aug 2017 16:31
Last modified: 16 Mar 2024 04:07

Export record

Altmetrics

Contributors

Author: Gaole Sai
Author: Basel Halak ORCID iD
Author: Mark Zwolinski ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×