公开(公告)号：US20220268835A1

公开(公告)日：2022-08-25

申请号：US17663060

申请日：2022-05-12

Applicant: Google LLC

Inventor： Emre Tuncer ,  Kaushik Balamukundhan ,  Yiran Li

IPC: G01R31/30 ,  G01R31/3193

Abstract: This document describes techniques and systems for leakage screening based on power prediction. In particular, the described systems and techniques estimate, during a silicon manufacturing process, use-case power (e.g., low power, ambient power, high power, gaming power) to apply leakage screening for apart (e.g., a chip package). In some aspects, measurable silicon parameters (e.g., leakage values, bin values, processor sensor values) may be used for use-case power prediction. Using the described techniques, a maximum allowable predicted use-case power can be determined and used for leakage screening regardless of an individual rail leakage or voltage bin assignment.

公开(公告)号：US11100266B2

公开(公告)日：2021-08-24

申请号：US16889130

申请日：2020-06-01

Applicant: Google LLC

Inventor： Chian-min Richard Ho ,  William Hang ,  Mustafa Nazim Yazgan ,  Anna Darling Goldie ,  Jeffrey Adgate Dean ,  Azalia Mirhoseini ,  Emre Tuncer ,  Ya Wang ,  Anand Babu

IPC: G06F30/00 ,  G06F30/30 ,  G06F30/27 ,  G06F30/392

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.