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Multi-Path Ageing Sensor for Cost-efficient Delay-Fault Prediction

Sai, Gaole, Halak, Basel and Zwolinski, Mark (2016) Multi-Path Ageing Sensor for Cost-efficient Delay-Fault Prediction At Workshop on Early Reliability Modeling for Aging and Variability in Silicon Systems.

Record type: Conference or Workshop Item (Poster)

Abstract

Aggressive technology scaling has accelerated the ageing of CMOS devices. Ageing refers to a slow progressive degradation in the performance of MOS transistors. Consequently, the speed of a chip can significantly degrade over time; this results in delay faults. Dynamic reliability management schemes have been proposed to assure an IC's lifetime reliability. Such schemes are typically based on the use of ageing sensors to predict a circuit's failure before errors actually appear. Existing ageing sensors are usually placed on the circuit's longest delay paths, which are deemed to be the most vulnerable to delay faults. Such an approach is very costly and may be infeasible in today's complex designs that typically have a large number of long delay paths that need to be monitored. This work proposes a new ageing sensor capable of monitoring multiple paths concurrently. The proposed sensor has been implemented and verified in 90nm technology. Our results indicate that the use of the proposed sensor for delay monitoring of the EX stage in a 32-bit MIPS can lead to a significant saving in area overheads of 70.8% and 53% compared to Razor and Canary respectively.

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More information

Published date: 2016
Venue - Dates: Workshop on Early Reliability Modeling for Aging and Variability in Silicon Systems, 2016-03-18
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 385877
URI: http://eprints.soton.ac.uk/id/eprint/385877
PURE UUID: d3c70bf2-397d-428f-b47d-4ff7781100e9
ORCID for Mark Zwolinski: ORCID iD orcid.org/0000-0002-2230-625X

Catalogue record

Date deposited: 13 Jan 2016 17:16
Last modified: 17 Jul 2017 19:53

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Contributors

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

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