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Statistical modeling of via redundancy effects on interconnect reliability
Conference proceeding

Statistical modeling of via redundancy effects on interconnect reliability

Nagarajan Raghavan and Cher Ming Tan
2008 15th IEEE International Symposium on the Physical and Failure Analysis of Integrated Circuits, p.67
01/01/2008

Abstract

Engineering Engineering, Electrical & Electronic Materials Science Materials Science, Multidisciplinary Nanoscience & Nanotechnology Science & Technology Science & Technology - Other Topics Technology
Electromigration is an important failure mechanism in the nano-interconnects of modern IC technology. Various approaches have been investigated to prolong the lifetime of an interconnect One such approach is to have an in-built redundancy in the via structures of the interconnect. The presence of redundant via in a parallel topology helps improve the overall reliability of the via structure. Although reliability improvement due to via redundancy is qualitatively understood, it is necessary to quantify the improvement in reliability through statistical models so that the improvement in lifetime as a result of redundancy can be quantified. A statistical model that incorporates the effects of redundancy is developed in this study and it is used to estimate the reliability of redundant via structures. The Cumulative Damage Model (CDM) is used in conjunction with the Maximum Likelihood Estimate (MLE) method to assess the reliability of load sharing via redundant structures in this study.

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