The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 26, 2026

Filed:

Apr. 14, 2023
Applicant:

Nvidia Corporation, Santa Clara, CA (US);

Inventors:

Tian Yang, Los Altos, CA (US);

Shijia Hu, Santa Clara, CA (US);

Assignee:

NVIDIA Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 5/022 (2023.01);
U.S. Cl.
CPC ...
G06N 5/022 (2013.01);
Abstract

Apparatuses, systems, and techniques for bounding area planning using a congestion prediction model. Placement data associated with cells of an IC design is identified. A graph based on the identified placement data is generated. The graph is provided as input to a machine learning model. The machine learning model is trained to predict, based on a given graph associated with cells according to a respective IC design, a congestion level for cells at one or more bounding areas of a respective IC design. Outputs of the machine learning model are obtained. The outputs include congestion data indicating a congestion level for a first bounding area of the IC design. Cells are designated for installation at a region, of the IC design, corresponding to the first bounding area.


Find Patent Forward Citations

Yang, Tian. (2026). Bounding area planning using a congestion prediction model (U.S. Patent No. 12639589). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12639589

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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