Controllable pattern clustering for characterized semiconductor layout designs
AssigneeSiemens Industry Software Inc.
InventorsHazem Hegazy, Ahmed Hamed Fathi Hamed, Omar ElSewefy, Sara Khalaf
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AssigneeSiemens Industry Software Inc.
InventorsHazem Hegazy, Ahmed Hamed Fathi Hamed, Omar ElSewefy, Sara Khalaf
Estimating the term…
A computing system implementing a physical verification tool can determine principal feature components describing geometric patterns around points of interest in a semiconductor layout design. The principal feature components include topological features indicating whether structures are present around the points of interest, and include dimensional features corresponding to measurements associated with the structures present around the points of interest. The physical verification tool can generate a topological signature for each of the points of interest based on the topological features, and cluster the points of interest into different subsets based on the topological signature. The physical verification tool can perform design rule check operations on the semiconductor layout design to identify whether one or more of the points of interest correspond to a design rule violation and perform pattern matching to identify whether other points of interest match the point of interest corresponding to the design rule violation.
A method comprising:
A system comprising:
An apparatus comprising at least one computer-readable memory device storing instructions configured to cause one or more processing devices to perform operations comprising:
The apparatus of claim 15, wherein the principal feature components include a plurality of dimensional features for each of the points of interest in the semiconductor layout design, which correspond to measurements associated with the points of interest or the structures present around the points of interest, and wherein the instructions are configured to cause one or more processing devices to perform operations further comprising clustering of the points of interest into the different subsets based, at least in part, on the topological signature and the dimensional features.
Dependencies are inferred from the claim text.