Abstract
A novel methodology is presented to structured yield-aware synthesis. The trade-off between yield and the unspecified performances is explored along the design space boundaries, while respecting specifications on the other performances. Through the unique combination of multi-objective evolutionary optimization techniques, multi-variate regression modeling and sensitivity-based yield estimation, the designer is given access to this trade-off, all within transistor-level accuracy. Even more, a large reduction in required computer resources is obtained compared to alternative approaches.