Patent ID: 8402397
Filing Date: 2013-03-19
Classification: G06F,Y02P

Abstract:
1. A method of machine learning-based hotspot detection, executed by at least one processor of a computer, comprising: receiving data of layout patterns of a layout design; determining, by using the at least one processor of a computer, scheme-one hotspot information by classifying the layout patterns based on one or more scheme-one machine learning models; determining scheme-two hotspot information by classifying the layout patterns based on one or more scheme-two machine learning models, the one or more scheme-two machine learning models and the one or more scheme-one machine learning models both employing a same density-based encoding method and a same set of training patterns, but being constructed differently by placing, while encoding each training pattern in the set of training patterns, a context window in different positions around the each training pattern; determining final hotspot information based on the scheme-one hotspot information and the scheme-two hotspot information; and storing the final hotspot information in a tangible processor-accessible medium, or displaying the final hotspot information on a tangible medium.