Estimation of Product Lifetime with Highly Varying Die Temperature

This paper examines the impact of temperature gradient (TG) in integrated circuit (IC) blocks with high power densities, focusing on their effect on electromigration (EM) lifetime. Thermal simulations reveal significant local temperature variations, which greatly increase the risk of EM failure. The study highlights the need for refined mesh sizes in power maps to accurately capture TG amount. We present a new approach for predicting IC lifetimes by incorporating temperature variations into the failure rate model. The results highlight the critical importance of early-stage thermal evaluations in ensuring the reliability of advanced IC designs.

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Publication Details

Published
2025-03-30
DOI
https://doi.org/10.1109/irps48204.2025.10983831
Primary Topic
Advanced machining processes and optimization
Type
article
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Estimation of Product Lifetime with Highly Varying Die Temperature

Ping-Chin Yeh, Paula Chang, Gamal Refai-Ahmed, Guanyu Lin et al.
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Advanced machining processes and optimization
article

Estimation of Product Lifetime with Highly Varying Die Temperature

Ping-Chin Yeh, Paula Chang, Gamal Refai-Ahmed, Guanyu Lin, Jonathan Chang, Md Malekkul Islam, Jae-Gyung Ahn, Bhoomika Devaru Hedge
article en

Abstract

This paper examines the impact of temperature gradient (TG) in integrated circuit (IC) blocks with high power densities, focusing on their effect on electromigration (EM) lifetime. Thermal simulations reveal significant local temperature variations, which greatly increase the risk of EM failure. The study highlights the need for refined mesh sizes in power maps to accurately capture TG amount. We present a new approach for predicting IC lifetimes by incorporating temperature variations into the failure rate model. The results highlight the critical importance of early-stage thermal evaluations in ensuring the reliability of advanced IC designs.

Advanced Micro Devices (United States) (US)
Openalex Percentile: Top 90%
Advanced machining processes and optimization
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