Two-dimensional layout migration by soft constraint satisfaction

Abstract

Layout migration has re-emerged as an important task due to the increasing use of library hard intellectual properties. While recent advances of migration tools have accommodated new metrics, the underlying engine is based on the one-dimensional (1D) layout compaction algorithm, largely due to its efficiency compared to its two-dimensional (2D) counterpart. In this paper, we propose a new method that can overcome the artificial constraints introduced by the 1D compaction algorithm, thereby effectively achieving the quality of 2D compaction yet keeping the computational cost almost as low as 1D compaction. Our method is based on the application of soft constraints, or artificial constraints that are initially relaxed, and gradually tightened to be satisfied. We demonstrate the effectiveness of our approach by successfully solving the difficult 1D compaction instances we found in the migration of the Berkeley low power library, originally developed for 1.2 /spl mu/m MOSIS process, into TSMC 0.25 /spl mu/m and 0.18 /spl mu/m technology.