Cadence Design Systems, Inc.
EDA CAA with learning phase

Abstract:

Systems, methods, media, and other such embodiments described herein relate to critical area analysis (CAA) operations as part of electronic design automation (EDA). One embodiment involves accessing a circuit design having a first layer (which may be a composite layer), sampling the first layer, and performing an initial CAA using the sampled portions of the layer with a set of predetermined defect sizes. The initial CAA is used to automatically generate a model which can be used to accurately select input parameters (e.g., selected defect sizes) for a full analysis. A CAA characteristic is then calculated for the first layer using the input parameters. In various embodiments, different sampling percentages and criteria for selecting input parameters can be used to reduce the computing resources to compute a CAA characteristic, such as theta-bar, while limiting error to a threshold amount (e.g. less than one percent).