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:
Sep. 10, 2024

Filed:

May. 01, 2023
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

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

William Hang, Stanford, CA (US);

Mustafa Nazim Yazgan, Cupertino, CA (US);

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

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

Azalia Mirhoseini, Mountain View, CA (US);

Emre Tuncer, Santa Cruz, CA (US);

Ya Wang, Foster City, CA (US);

Anand Babu, Palo Alto, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 30/27 (2020.01); G06F 30/392 (2020.01);
U.S. Cl.
CPC ...
G06F 30/27 (2020.01); G06F 30/392 (2020.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a computer chip floorplan. One of the methods includes obtaining netlist data for a computer chip; and generating a computer chip floorplan, comprising placing a respective 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 node to be placed at the time step to a position from the plurality of positions using the score distribution.


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