Graphics processing systems
    21.
    发明授权

    公开(公告)号:US11170555B2

    公开(公告)日:2021-11-09

    申请号:US16697984

    申请日:2019-11-27

    Applicant: Arm Limited

    Abstract: When processing graphics primitives in a graphics processing system, the render output is divided into a plurality of regions (40) for rendering, each region (40) comprising a respective area of the render output; and for sets of one or more primitives to be rendered, it is determined for which of the plurality of regions of the render output (40) the primitive(s) should be rendered; and for each region of the render output (40) it is determined the primitive(s) should be rendered for, geometry data for the primitive(s) is stored in memory in a respective data structure (42) along with an indication of state data that is to be used for rendering the primitive(s) for the region, such that the geometry data for the primitive(s) to be rendered is stored in a respective, different data structure (42) for each different region of the render output (40) it is determined the primitive(s) should be rendered for.

    GRAPHICS PROCESSING SYSTEMS
    22.
    发明申请

    公开(公告)号:US20210224949A1

    公开(公告)日:2021-07-22

    申请号:US16748721

    申请日:2020-01-21

    Applicant: Arm Limited

    Abstract: A graphics processor that rasterises input primitives to generate graphics fragments to be processed and renders the graphics fragments to generate a first, higher resolution version of a render output. When processing of a render output is stopped before the render output is finished, the first resolution version of the render output is downsampled to a second, lower resolution and the downsampled data elements at the second resolution are written out together with a set of difference values indicative of the differences between the data elements at the first resolution and the downsampled data elements at the second resolution. Then, when processing of the render output is resumed, these values can be loaded in and used to reconstruct the array of data elements at the first resolution for use when continuing processing of the render output.

    GRAPHICS PROCESSING SYSTEMS
    23.
    发明申请

    公开(公告)号:US20210158598A1

    公开(公告)日:2021-05-27

    申请号:US16697984

    申请日:2019-11-27

    Applicant: Arm Limited

    Abstract: When processing graphics primitives in a graphics processing system, the render output is divided into a plurality of regions (40) for rendering, each region (40) comprising a respective area of the render output; and for sets of one or more primitives to be rendered, it is determined for which of the plurality of regions of the render output (40) the primitive(s) should be rendered; and for each region of the render output (40) it is determined the primitive(s) should be rendered for, geometry data for the primitive(s) is stored in memory in a respective data structure (42) along with an indication of state data that is to be used for rendering the primitive(s) for the region, such that the geometry data for the primitive(s) to be rendered is stored in a respective, different data structure (42) for each different region of the render output (40) it is determined the primitive(s) should be rendered for.

    Efficient Convolutional Neural Networks
    24.
    发明申请

    公开(公告)号:US20200151541A1

    公开(公告)日:2020-05-14

    申请号:US16676757

    申请日:2019-11-07

    Applicant: Arm Limited

    Abstract: The present disclosure advantageously provides a system and a method for convolving data in a quantized convolutional neural network (CNN). The method includes selecting a set of complex interpolation points, generating a set of complex transform matrices based, at least in part, on the set of complex interpolation points, receiving an input volume from a preceding layer of the quantized CNN, performing a complex Winograd convolution on the input volume and at least one filter, using the set of complex transform matrices, to generate an output volume, and sending the output volume to a subsequent layer of the quantized CNN.

    PROCESSING ARTIFICIAL NEURAL NETWORK WEIGHTS
    26.
    发明申请

    公开(公告)号:US20180239992A1

    公开(公告)日:2018-08-23

    申请号:US15439284

    申请日:2017-02-22

    Applicant: ARM Limited

    CPC classification number: G06K9/00986 G06K9/4642 G06N3/0454 G06N3/084

    Abstract: A data processing apparatus processes a set of weight values for an artificial neural network by representing the set of weight values in the form of an array of weight values and by using an image compression scheme to provide compressed weight data for the artificial neural network. The data processing apparatus uses an image decompression scheme to derive decompressed weight values from the compressed weight data and applies the decompressed weight values when producing a result from an input to the artificial neural network. The data processing apparatus can provide for efficient storage and processing of the weight values for the artificial neural network.

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