Abstract

In this paper, the magnitude of the temperature and stress variability of dynamic voltage and frequency scaling (DVFS) designs is analyzed, and their impact on the bias temperature instability (BTI) degradation and lifetime of DVFS designs is assessed. For this purpose, a design-time evaluation framework for BTI degradation was developed, which considered the statistical workload and die temperature profiles of DVFS operating modes. The performed analysis showed that, together with high stress variability, DVFS designs exhibited even higher temperature variability, depending on the workload and utilized operating modes, and the impact of temperature variability on lifetime could be up to 2× higher than that due to stress. In order to account for temperature variability on aging detrimental effects, a thermal management run-time system is proposed that honors the desired lifetime constraints by properly selecting temperature constraints that govern the utilized operating modes. The proposed run-time system was applied on the largest benchmark circuit from the IWLS 2005 suite, Ethernet circuit, synthesized with the 32 nm CMOS technology. The proposed system was verified to obtain lifetime and performance estimation and the trade-off with up to 35.8% and 26.3% higher accuracy, respectively, when compared to a system that ignores temperature variability and accounts for average temperature only. The proposed framework can be suitably utilized for tuning run-time throttling policies of low-power designs, thus allowing designers to optimize lifetime–performance trade-offs, depending on the requirements mandated by specific applications and operating environments.

Highlights

  • As the technology node shrinks, electronic systems become more prone to aging phenomena, jeopardizing their reliability

  • The proposed framework allows designers to explore the most appropriate dynamic thermal management (DTM) constraints according to a trade-off between longterm reliability and performance with up to 35.8% and 26.3% higher accuracy, respectively, against a system that ignores the effects of temperature variability on bias temperature instability (BTI) and uses the average temperature to estimate the impact of BTI aging on circuit performance and lifetime

  • Since designs with dynamic voltage and frequency scaling (DVFS) are controlled by a dynamic thermal management (DTM) system, the policies followed by the DTM system strongly influence the power consumption of the DVFS design, inducing a temperature variability that should be considered for an accurate BTI aging estimation

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Summary

Introduction

As the technology node shrinks, electronic systems become more prone to aging phenomena, jeopardizing their reliability. To properly account for this variability in lifetime estimation at design time, in this manuscript, a simulation framework for the BTI degradation analysis of DVFS designs accounting for workload and actual thermal profiles is proposed They were generated considering a statistically probable workload and DTM constraints by means of the HotSpot tool [27]. The proposed framework allows designers to explore the most appropriate DTM constraints according to a trade-off between longterm reliability (lifetime) and performance with up to 35.8% and 26.3% higher accuracy, respectively, against a system that ignores the effects of temperature variability on BTI and uses the average temperature to estimate the impact of BTI aging on circuit performance and lifetime.

Background
Analysis of BTI Aging Variability
Stress Tables for Logic Gates Using Input Probabilities
Electrical and Thermal Simulation Flows and Setup
Temperature-Induced BTI Variability
Proposed BTI Simulation Framework for Run-Time Thermal Management
Simulations and Results
Findings
Conclusions
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