Abstract
Due to technology scaling, electromigration (EM) signoff has become increasingly difficult, mainly due to the use of inaccurate methods for EM assessment, such as the empirical Black’s model. Results of recent measurements performed on power grid-like structures isolated in the power grid environment have demonstrated that the weak link approach cannot accurately predict lifetime of the power grids. It calls for significant over-design, while, today, there is very little margin left for EM. Numerous observations clearly indicate that there is a need for a new EM checking approach that accurately models EM degradation using physics-based models, combined with a mesh model to account for redundancy, while being fast enough to be practically useful. In this paper, we present a novel approach for power grid EM checking using physics-based models that can account for process, voltage and temperature variations across the die. Existing physical models for EM in metal branches were extended to track EM degradation in multi-branch interconnect trees. Our results, for a number of IBM power grid benchmarks, confirm that Black’s model is overly inaccurate. The lifetimes found using our physics-based approach are on average 2.75x longer than those based on a Black’s model, as extended to handle mesh power grids. With a maximum runtime of 2.3 h among all the IBM benchmarks, our method appears to be suitable for large VLSI circuits.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: IEEE Transactions on Device and Materials Reliability
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.