Analysis of Temporal and Spatial Temperature Gradients for IC Reliability

Report
Authors:Lu, Zhijian, Department of Computer ScienceUniversity of Virginia Huang, Wei, Department of Computer ScienceUniversity of Virginia Ghosh, Shougata, Department of Computer ScienceUniversity of Virginia Lach, John, Department of Computer ScienceUniversity of Virginia Stan, Mircea, Department of Computer ScienceUniversity of Virginia Skadron, Kevin, Department of Computer ScienceUniversity of Virginia
Abstract:

One of the most common causes of IC failure is interconnect electromigration (EM), which exhibits a rate that is exponentially dependent on temperature. As a result, EM rate is one of the major determinants of the maximum tolerable operating temperature for an IC and of resulting cooling costs. Previous EM models have assumed a uniform, typically worst-case, temperature. This paper presents a model that accounts for temporal and spatial variations in temperature, and shows that accounting for these variations can dramatically improve inter- connect lifetime prediction accuracy. We also show that the same modeling approach applies to temperature-related gate-oxide breakdown, another common cause of IC failure. We then propose that by modeling expected lifetime as a resource that is consumed over time at a rate dependent on temperature, substantial design margin can be reclaimed. For example, for a fixed target lifetime, intermittent higher operating temperatures and performance can be tolerated if compensated by lower temperatures at other times during the product´┐Żs lifetime. This approach offers higher overall performance and/or lower cooling costs than a standard design methodology that uses a worst-case temperature criterion for reliability analysis.

Rights:
All rights reserved (no additional license for public reuse)
Language:
English
Source Citation:

Lu, Zhijian, Wei Huang, Shougata Ghosh, John Lach, Mircea Stan, and Kevin Skadron. "Analysis of Temporal and Spatial Temperature Gradients for IC Reliability." University of Virginia Dept. of Computer Science Tech Report (2004).

Publisher:
University of Virginia, Department of Computer Science
Published Date:
2004