Method for analyzing design of an integrated circuit

A computer program product comprising a non-transitory computer-readable medium having computer-readable instructions stored thereon that, in response to execution by a processing unit, cause the processing unit to perform operations, the instructions comprising:

• instructions for receiving a design layout for an integrated circuit;
• instructions for forming a plurality of images of portions of the design layout, and for each image of a portion of the design layout:
• (i) calculating a Fourier transform representation of the image;
• and
• (ii) extracting values of pre-defined parameters from the Fourier transform representation;
• instructions for comparing the extracted values of pre-defined parameters of the plurality of images to create a clustering model by unsupervised machine learning and to sort each image of a portion of the design layout into a cluster defined by the clustering model;
• instructions for determining a number of images sorted into at least one cluster defined by the clustering model;
• and
• instructions for calculating at least one quality score of the design layout based on the clustering model and the determined number of images sorted into the at least one cluster.

A device for designing of an integrated circuit, the device comprising:

• a processing unit configured to execute processing instructions to implement:
• a design tool for designing a layout for an integrated circuit and outputting a design layout;
• and
• a design analytics tool, wherein the design analytics tool is configured to:
• receive a design layout for an integrated circuit;
• form a plurality of images of portions of the design layout, and for each image of a portion of the design layout:
• calculate a Fourier transform representation of the image;
• and
• extract values of pre-defined parameters from the Fourier transform representation;
• compare the extracted values of pre-defined parameters of the plurality of images to create a clustering model by unsupervised machine learning and to sort each image of a portion of the design layout into a cluster defined by the clustering model;
• determine a number of images sorted into each cluster defined by the clustering model;
• and
• calculate at least one quality score of the design layout based on the clustering model and the determined number of images sorted into each cluster.