Patent · US Active

Generating integrated circuit placements using neural networks

US11216609B2 · kind B2 · utility

0Cited by
3References
27Claims
0Family size

Assignee

Inventors

Key dates

Filing dateApr 22, 2021
Grant dateJan 4, 2022
Priority date
Expiry dateApr 22, 2041

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06N3/098
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

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.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.