Coarse-grained Online Monitoring of BTI Aging by Reusing Power Gating Infrastructure



Tenentes, Vasileios, Rossi, Daniele, Yang, Sheng, Khursheed, S, Al-Hashimi, BM and Gunn, Steve R
(2017) Coarse-grained Online Monitoring of BTI Aging by Reusing Power Gating Infrastructure. IEEE Transactions on Very Large Scale Integration Systems, 25 (4). 1397 - 1407.

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Abstract

In this paper, we present a novel coarse-grained technique for monitoring online the bias temperature instability (BTI) aging of circuits by exploiting their power gating infrastructure. The proposed technique relies on monitoring the discharge time of the virtual-power-network during standby operations, the value of which depends on the threshold voltage of the CMOS devices in a power-gated design (PGD). It does not require any distributed sensors, because the virtual-powernetwork is already distributed in a PGD. It consists of a hardware block for measuring the discharge time concurrently with normal standby operations and a processing block for estimating the BTI aging status of the PGD according to collected measurements. Through SPICE simulation, we demonstrate that the BTI aging estimation error of the proposed technique is less than 1% and 6.2% for PGDs with static operating frequency and dynamic voltage and frequency scaling, respectively. Its area cost is also found negligible. The power gating minimum idle time (MIT) cost induced by the energy consumed for monitoring the discharge time is evaluated on two scalar machine models using either x86 or ARM instruction sets. It is found less than 1.3× and 1.45× the original power gating MIT, respectively. We validate the proposed technique through accelerated aging experiments conducted with five actual chips that contain an ARM cortex M0 processor, manufactured with a 65 nm CMOS technology.

Item Type: Article
Uncontrolled Keywords: aging, bias temperature instability (BTI), power gating, sensor
Depositing User: Symplectic Admin
Date Deposited: 08 Nov 2016 10:28
Last Modified: 11 Aug 2022 20:13
DOI: 10.1109/TVLSI.2016.2626218
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3004414