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:
Dec. 26, 2023

Filed:

Dec. 15, 2022
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Anna Darling Goldie, San Francisco, CA (US);

Azalia Mirhoseini, Mountain View, CA (US);

Ebrahim Songhori, San Jose, CA (US);

Wenjie Jiang, Mountain View, CA (US);

Shen Wang, Sunnyvale, CA (US);

Roger David Carpenter, San Francisco, CA (US);

Young-Joon Lee, San Jose, CA (US);

Mustafa Nazim Yazgan, Cupertino, CA (US);

Chian-min Richard Ho, Palo Alto, CA (US);

Quoc V. Le, Sunnyvale, CA (US);

James Laudon, Madison, WI (US);

Jeffrey Adgate Dean, Palo Alto, CA (US);

Kavya Srinivasa Setty, Sunnyvale, CA (US);

Omkar Pathak, Mountain View, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 30/392 (2020.01); G06F 30/398 (2020.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G06F 30/392 (2020.01); G06F 30/398 (2020.01); G06N 3/08 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a computer chip placement. One of the methods includes obtaining netlist data for a computer chip; and generating a computer chip placement, comprising placing a respective macro node at each time step in a sequence comprising a plurality of time steps, the placing comprising, for each time step: generating an input representation for the time step; processing the input representation using a node placement neural network having a plurality of network parameters, wherein the node placement neural network is configured to process the input representation in accordance with current values of the network parameters to generate a score distribution over a plurality of positions on the surface of the computer chip; and assigning the macro node to be placed at the time step to a position from the plurality of positions using the score distribution.


Find Patent Forward Citations

Loading…