MUMBAI, India, June 27 -- Intellectual Property India has published a patent application (202517054294 A) filed by Google Llc, Mountain View, U.S.A., on June 5, for 'generating integrated circuit placements using neural networks.'
Inventor(s) include Songhori, Ebrahim; Jiang, Wenjie; Guadarrama Cotado, Sergio; Lee, Young-Joon; Mirhoseini, Azalia; Goldie, Anna Darling; Carpenter, Roger David; Yue, Yuting; Lee, Kuang-Huei; Laudon, James; Boyd, Toby James; and Le, Quoc V.
The application for the patent was published on June 27, under issue no. 26/2025.
According to the abstract released by the Intellectual Property India: "Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a computer chip placement. One of the methods includes training, through reinforcement learning, a node placement neural network that is configured to, at each of a plurality of time steps, receive an input representation comprising data representing a current state of a placement of a netlist of nodes on a surface of an integrated circuit chip as of the time step and process the input representation to generate a score distribution over a plurality of positions on the surface of the integrated circuit chip."
The patent application was internationally filed on Dec. 15, 2022, under International application No.PCT/US2022/053069.
Disclaimer: Curated by HT Syndication.
