ACCELERATED LARGE-SCALE SIMILARITY CALCULATION

    公开(公告)号:US20220309101A1

    公开(公告)日:2022-09-29

    申请号:US17839116

    申请日:2022-06-13

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining data stored at a storage device using a first processor of an entity correlation system. The data includes information about multiple entities. The first processor generates data arrays using the obtained data. Each data array includes parameter values for multiple entities and is configured for processing at a respective computing cell of a second processor. The system provides the data arrays to the second processor. The second processor is configured to execute a correlation algorithm to concurrently process the data arrays at the respective computing cells. The second processor computes a correlation score based on calculations performed at the cells using the algorithm and the parameter values. The system determines relationships among entities of the data arrays based on the correlation score. The relationships indicate overlapping attributes or similarities that exist among subsets of entities.

    Accelerated large-scale similarity calculation

    公开(公告)号:US11782991B2

    公开(公告)日:2023-10-10

    申请号:US17839116

    申请日:2022-06-13

    Applicant: Google LLC

    CPC classification number: G06F16/906 G06F12/0802

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining data stored at a storage device using a first processor of an entity correlation system. The data includes information about multiple entities. The first processor generates data arrays using the obtained data. Each data array includes parameter values for multiple entities and is configured for processing at a respective computing cell of a second processor. The system provides the data arrays to the second processor. The second processor is configured to execute a correlation algorithm to concurrently process the data arrays at the respective computing cells. The second processor computes a correlation score based on calculations performed at the cells using the algorithm and the parameter values. The system determines relationships among entities of the data arrays based on the correlation score. The relationships indicate overlapping attributes or similarities that exist among subsets of entities.

    Accelerated large-scale similarity calculation

    公开(公告)号:US11379535B2

    公开(公告)日:2022-07-05

    申请号:US16344450

    申请日:2018-05-01

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining data stored at a storage device using a first processor of an entity correlation system. The data includes information about multiple entities. The first processor generates data arrays using the obtained data. Each data array includes parameter values for multiple entities and is configured for processing at a respective computing cell of a second processor. The system provides the data arrays to the second processor. The second processor is configured to execute a correlation algorithm to concurrently process the data arrays at the respective computing cells. The second processor computes a correlation score based on calculations performed at the cells using the algorithm and the parameter values. The system determines relationships among entities of the data arrays based on the correlation score. The relationships indicate overlapping attributes or similarities that exist among subsets of entities.

    ACCELERATED LARGE-SCALE SIMILARITY CALCULATION

    公开(公告)号:US20210026889A1

    公开(公告)日:2021-01-28

    申请号:US16344450

    申请日:2018-05-01

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining data stored at a storage device using a first processor of an entity correlation system. The data includes information about multiple entities. The first processor generates data arrays using the obtained data. Each data array includes parameter values for multiple entities and is configured for processing at a respective computing cell of a second processor. The system provides the data arrays to the second processor. The second processor is configured to execute a correlation algorithm to concurrently process the data arrays at the respective computing cells. The second processor computes a correlation score based on calculations performed at the cells using the algorithm and the parameter values. The system determines relationships among entities of the data arrays based on the correlation score. The relationships indicate overlapping attributes or similarities that exist among subsets of entities.

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