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    Timing esimation method and simulator
    1.
    发明授权
    Timing esimation method and simulator 有权

    公开(公告)号：US10896276B2

    公开(公告)日：2021-01-19

    申请号：US15843375

    申请日：2017-12-15

    Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

    Inventor： Mei-Ling Chi ,  Yao-Hua Chen ,  Hsun-Lun Huang ,  Juin-Ming Lu

    IPC: G06F30/3323 ,  G06F13/16 ,  G06F13/28 ,  G06F30/3312 ,  G06F1/28 ,  G06F119/12

    Abstract: Disclosed are a timing estimation method and a simulator. The method is applied to a function verification model. In the method, the model issues a first access issue at a first time point; receives a first response to the first access issue from the bus at a second time point; calculates a delay time between the first and second time points; determines whether the delay time is longer than or substantially equal to a transmission time corresponding to the first access issue; issues a second access issue if yes; and issues the second access issue in a compensation time counting from the second time point if not. The compensation time is not longer than the difference between the transmission time and the delay time.

    HARDWARE-AWARE ZERO-COST NEURAL NETWORK ARCHITECTURE SEARCH SYSTEM AND NETWORK POTENTIAL EVALUATION METHOD THEREOF
    2.
    发明公开
    HARDWARE-AWARE ZERO-COST NEURAL NETWORK ARCHITECTURE SEARCH SYSTEM AND NETWORK POTENTIAL EVALUATION METHOD THEREOF 审中-公开

    公开(公告)号：US20240152731A1

    公开(公告)日：2024-05-09

    申请号：US18349982

    申请日：2023-07-11

    Applicant: Industrial Technology Research Institute

    Inventor： Yao-Hua Chen ,  Jiun-Kai Yang ,  Chih-Tsun Huang

    IPC: G06N3/045

    CPC classification number: G06N3/045

    Abstract: A hardware-aware zero-cost neural network architecture search system is configured to perform the following. A neural network search space is divided into multiple search blocks. Each of the search blocks includes multiple candidate blocks. The candidate blocks are guided and scored through a latent pattern generator. The candidate blocks in each of the search blocks are scored through a zero-cost accuracy proxy. One of the candidate blocks included in each of the search blocks is sequentially selected as selected candidate blocks, the selected candidate blocks are combined into multiple neural networks to be evaluated, and network potential of the neural networks to be evaluated is calculated according to scores of the selected candidate blocks. One neural network to be evaluated with the highest network potential is selected to determine the corresponding selected candidate blocks.

    Memory transaction-level modeling method and system
    5.
    发明授权
    Memory transaction-level modeling method and system 有权

    公开(公告)号：US10365829B2

    公开(公告)日：2019-07-30

    申请号：US15391082

    申请日：2016-12-27

    Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

    Inventor： Yao-Hua Chen ,  Che-Wei Hsu ,  Juin-Ming Lu ,  Wei-Shiang Lin ,  Jing-Jia Liou ,  Chih-Tsun Huang

    IPC: G06F3/00 ,  G06F3/06 ,  G06F12/02 ,  G06F12/06 ,  G11C7/22

    Abstract: A memory transaction-level modeling method and a memory transaction-level modeling system are provided. The memory transaction-level modeling method is used for simulating the operation of outputting at least one command to the memory. The memory includes a plurality of banks each of which corresponds with a bank status table. The memory transaction-level modeling method includes the following steps: An event is received. Whether one of the bank status tables is needed to be updated is determined. If one of the bank status tables is needed to be updated, this bank status table is recovered according to a TMP queue. A command is outputted to the memory according to a command queue. The outputted command is stored in the TMP queue. Some of the bank status tables are updated and others of the bank status tables are kept unchanged.

    Power consumption estimation method and power consumption estimation apparatus
    8.
    发明授权
    Power consumption estimation method and power consumption estimation apparatus 有权

    公开(公告)号：US10412331B2

    公开(公告)日：2019-09-10

    申请号：US15853549

    申请日：2017-12-22

    Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

    Inventor： Chun Wei Chen ,  Ming-Der Shieh ,  Juin-Ming Lu ,  Hsun-Lun Huang ,  Yao-Hua Chen

    IPC: H04N5/369 ,  H04N5/232

    Abstract: A power consumption estimation method is applied to an image with N rows of pixels, and comprises a pixel estimation procedure comprising performing an estimation sub-procedure pixel by pixel for each of a plurality of pixels in one row of the N rows of pixels to obtain a plurality of pixel energy consumption values respectively corresponding to the plurality of pixels in said one row of the N rows, and obtaining a row power consumption value corresponding to said one row of the N rows according to the plurality of pixel energy consumption values. The estimation sub-procedure comprises obtaining pixel content information corresponding to one of the plurality of pixels, and determining the pixel energy consumption value according to the pixel content information. The pixel energy consumption value indicates pixel energy consumption generated by performing a predetermined image processing procedure for said one of the plurality of pixels.

    THERMAL ESTIMATION DEVICE AND THERMAL ESTIMATION METHOD
    9.
    发明申请
    THERMAL ESTIMATION DEVICE AND THERMAL ESTIMATION METHOD 审中-公开

    公开(公告)号：US20190147135A1

    公开(公告)日：2019-05-16

    申请号：US15857156

    申请日：2017-12-28

    Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

    Inventor： Yeong-Jar CHANG ,  Ya-Ting Shyu ,  Juin-Ming Lu ,  Yao-Hua Chen ,  Yen-Fu Chang ,  Jai-Ming Lin

    IPC: G06F17/50

    Abstract: An embodiment of a thermal estimation device including a temperature model generator, a temperature gradient calculator, and a thermal sensing analyzer is disclosed. The temperature model generator generates a temperature model based on an initial power consumption, an initial area and an initial coordination of a circuit module. The temperature gradient calculator substitutes at least one of a testing area, a testing power or a testing coordinate of the circuit module into the temperature model for correspondingly estimating an temperature estimation function. The thermal sensing analyzer differentiates the temperature estimation function. When an absolute value of a differential result of the temperature estimation function resulted from a constant is closest to zero or is zero, outputting the constant as an optimized parameter.

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