Generating integrated circuit floorplans using neural networks

    公开(公告)号:US11675940B2

    公开(公告)日:2023-06-13

    申请号:US17409566

    申请日:2021-08-23

    Applicant: Google LLC

    CPC classification number: 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.

    Voltage-Variation Detection Under Clock Fluctuations

    公开(公告)号:US20210148957A1

    公开(公告)日:2021-05-20

    申请号:US16936169

    申请日:2020-07-22

    Applicant: Google LLC

    Abstract: Detecting voltage-based attacks on an integrated circuit (IC) is difficult in the presence of clock jitter. Propagating signals can exhibit a total delay that is due to a delay component resulting from a voltage-based attack and a delay characteristic resulting from clock fluctuation. Voltage-variation detection circuitry includes first and second voltage-dependent circuits and a voltage analysis circuit. The voltage-dependent circuits produce first and second signals that are indicative of a voltage level responsive to a clock signal and based on different first and second voltage sensitivities. The voltage analysis circuit generates a voltage alert signal based on the first and second signals. A combined signal neutralizes the delay characteristic in the first and second signals, but the delay component due to the voltage variation can be at least partially maintained. Thus, a voltage-based attack is detectable in the presence of clock fluctuation by using two voltage-dependent circuits.

    GENERATING INTEGRATED CIRCUIT FLOORPLANS USING NEURAL NETWORKS

    公开(公告)号:US20250053714A1

    公开(公告)日:2025-02-13

    申请号:US18805439

    申请日:2024-08-14

    Applicant: Google LLC

    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.

    Generating integrated circuit floorplans using neural networks

    公开(公告)号:US10699043B2

    公开(公告)日:2020-06-30

    申请号:US16703837

    申请日:2019-12-04

    Applicant: Google LLC

    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.

    Generating integrated circuit floorplans using neural networks

    公开(公告)号:US12086516B2

    公开(公告)日:2024-09-10

    申请号:US18310427

    申请日:2023-05-01

    Applicant: Google LLC

    CPC classification number: 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.

    Voltage-variation detection under clock fluctuations

    公开(公告)号:US11486911B2

    公开(公告)日:2022-11-01

    申请号:US16936169

    申请日:2020-07-22

    Applicant: Google LLC

    Abstract: Detecting voltage-based attacks on an integrated circuit (IC) is difficult in the presence of clock jitter. Propagating signals can exhibit a total delay that is due to a delay component resulting from a voltage-based attack and a delay characteristic resulting from clock fluctuation. Voltage-variation detection circuitry includes first and second voltage-dependent circuits and a voltage analysis circuit. The voltage-dependent circuits produce first and second signals that are indicative of a voltage level responsive to a clock signal and based on different first and second voltage sensitivities. The voltage analysis circuit generates a voltage alert signal based on the first and second signals. A combined signal neutralizes the delay characteristic in the first and second signals, but the delay component due to the voltage variation can be at least partially maintained. Thus, a voltage-based attack is detectable in the presence of clock fluctuation by using two voltage-dependent circuits.

    GENERATING INTEGRATED CIRCUIT FLOORPLANS USING NEURAL NETWORKS

    公开(公告)号:US20200175216A1

    公开(公告)日:2020-06-04

    申请号:US16703837

    申请日:2019-12-04

    Applicant: Google LLC

    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.

    GENERATING INTEGRATED CIRCUIT FLOORPLANS USING NEURAL NETWORKS

    公开(公告)号:US20230394203A1

    公开(公告)日:2023-12-07

    申请号:US18310427

    申请日:2023-05-01

    Applicant: Google LLC

    CPC classification number: 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.

    Leakage screening based on use-case power prediction

    公开(公告)号:US11768237B2

    公开(公告)日:2023-09-26

    申请号:US17663060

    申请日:2022-05-12

    Applicant: Google LLC

    CPC classification number: G01R31/3008 G01R31/31935

    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.

    Voltage-Variation Detection Under Clock Fluctuations

    公开(公告)号:US20230131119A1

    公开(公告)日:2023-04-27

    申请号:US18051442

    申请日:2022-10-31

    Applicant: Google LLC

    Abstract: Detecting voltage-based attacks on an integrated circuit (IC) is difficult in the presence of clock jitter. Propagating signals can exhibit a total delay that is due to a delay component resulting from a voltage-based attack and a delay characteristic resulting from clock fluctuation. Voltage-variation detection circuitry includes first and second voltage-dependent circuits and a voltage analysis circuit. The voltage-dependent circuits produce first and second signals that are indicative of a voltage level responsive to a clock signal and based on different first and second voltage sensitivities. The voltage analysis circuit generates a voltage alert signal based on the first and second signals. A combined signal neutralizes the delay characteristic in the first and second signals, but the delay component due to the voltage variation can be at least partially maintained. Thus, a voltage-based attack is detectable in the presence of clock fluctuation by using two voltage-dependent circuits.

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