Tracking Fmax Degradation of a RISC-V CPU with Synthesizable Odometer Aging Sensors

This work presents a test chip called RARE, that integrates a RISC-V CPU with an array of beat-frequency odometer aging sensors, demonstrating the odometer's capability to track CPU performance degradation due to aging effects. The CPU's maximum frequency degradation was measured under accelerated stress conditions. Experimental results from high voltage and high temperature stress across various threshold voltages confirm the odometer's effectiveness in monitoring CPU aging. These findings offer key perspectives on how aging degradation, as characterized by the odometer, can predict timing failures and estimate the operational lifespan of CPU designs in specific technologies.

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Published
2025-04-13
DOI
https://doi.org/10.1109/cicc63670.2025.10982946
Citations
1
Primary Topic
Semiconductor materials and devices
Type
article
Field-Weighted Citation Impact
0.73
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article

Tracking Fmax Degradation of a RISC-V CPU with Synthesizable Odometer Aging Sensors

Hanzhao Yu, Chris H. Kim, Junkyu Kim, Tahmida Islam
1 citations
Semiconductor materials and devices
0.73
article

Tracking Fmax Degradation of a RISC-V CPU with Synthesizable Odometer Aging Sensors

Hanzhao Yu, Chris H. Kim, Junkyu Kim, Tahmida Islam
article en
1 citations

Abstract

This work presents a test chip called RARE, that integrates a RISC-V CPU with an array of beat-frequency odometer aging sensors, demonstrating the odometer's capability to track CPU performance degradation due to aging effects. The CPU's maximum frequency degradation was measured under accelerated stress conditions. Experimental results from high voltage and high temperature stress across various threshold voltages confirm the odometer's effectiveness in monitoring CPU aging. These findings offer key perspectives on how aging degradation, as characterized by the odometer, can predict timing failures and estimate the operational lifespan of CPU designs in specific technologies.

University of Minnesota System (US)
Affordable and clean energy
Openalex Percentile: Top 28%
Semiconductor materials and devices
0.73
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