Patents by Inventor Anna Darling Goldie

Anna Darling Goldie has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20200364389
    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.
    Type: Application
    Filed: June 1, 2020
    Publication date: November 19, 2020
    Inventors: Chian-min Richard Ho, William Hang, Mustafa Nazim Yazgan, Anna Darling Goldie, Jeffrey Adgate Dean, Azalia Mirhoseini, Emre Tuncer, Ya Wang, Anand Babu
  • Patent number: 10699043
    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.
    Type: Grant
    Filed: December 4, 2019
    Date of Patent: June 30, 2020
    Assignee: Google LLC
    Inventors: Chian-min Richard Ho, William Hang, Mustafa Nazim Yazgan, Anna Darling Goldie, Jeffrey Adgate Dean, Azalia Mirhoseini, Emre Tuncer, Ya Wang, Anand Babu
  • Publication number: 20200175216
    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.
    Type: Application
    Filed: December 4, 2019
    Publication date: June 4, 2020
    Inventors: Chian-min Richard Ho, William Hang, Mustafa Nazim Yazgan, Anna Darling Goldie, Jeffrey Adgate Dean, Azalia Mirhoseini, Emre Tuncer, Ya Wang, Anand Babu
  • Publication number: 20190392294
    Abstract: A method for determining a placement for machine learning model operations across multiple hardware devices includes receiving data specifying machine learning operations, and determining a placement that assigns each of the operations specified by the data to a respective device from the multiple hardware devices.
    Type: Application
    Filed: August 28, 2019
    Publication date: December 26, 2019
    Inventors: Benoit Steiner, Anna Darling Goldie, Jeffrey Adgate Dean, Hieu Hy Pham, Azalia Mirhoseini, Quoc V. Le
  • Patent number: 10438113
    Abstract: A method for determining a placement for machine learning model operations across multiple hardware devices includes receiving data specifying machine learning operations, and determining a placement that assigns each of the operations specified by the data to a respective device from the multiple hardware devices.
    Type: Grant
    Filed: July 19, 2018
    Date of Patent: October 8, 2019
    Assignee: Google LLC
    Inventors: Benoit Steiner, Anna Darling Goldie, Jeffrey Adgate Dean, Hieu Hy Pham, Azalia Mirhoseini, Quoc V. Le
  • Publication number: 20190026624
    Abstract: A method for determining a placement for machine learning model operations across multiple hardware devices includes receiving data specifying machine learning operations, and determining a placement that assigns each of the operations specified by the data to a respective device from the multiple hardware devices.
    Type: Application
    Filed: July 19, 2018
    Publication date: January 24, 2019
    Inventors: Benoit Steiner, Anna Darling Goldie, Jeffrey Adgate Dean, Hieu Hy Pham, Azalia Mirhoseini, Quoc V. Le