A new statistical electromigration analysis methodology that incorporates across-chip temperature variation

In this paper, we present a new approach which uses statistical methods to analyze the Electromigration (EM) reliability on a chip. This new approach utilizes statistical nature of EM failure distribution to assess overall EM risk of a product. Furthermore, we have incorporated within-die temperature variation into the proposed EM analysis to better estimate the EM risk of a product.