TECHNIQUES FOR IMPROVING MSAA RENDERING EFFICIENCY
    94.
    发明公开
    TECHNIQUES FOR IMPROVING MSAA RENDERING EFFICIENCY 审中-公开
    VERFAHREN ZUR VERBESSERUNG DER MSSA-DARSTELLUNGSEFFIZIENZ

    公开(公告)号:EP2936440A1

    公开(公告)日:2015-10-28

    申请号:EP13868697.7

    申请日:2013-12-19

    Abstract: Various embodiments are generally directed to techniques for causing the storage of a color data value of a clear color to be deferred as rendered color data values are stored for samples. A device comprises a processor circuit and a storage to store instructions that cause the processor circuit to render a pixel from multiple samples taken of a three-dimensional model of an object, the pixel corresponding to a pixel sample data which comprises multiple color storage locations that are each identified by a numeric identifier, and which comprises multiple sample color indices that each correspond to a sample to point to at least one color storage location; and allocate color storage locations in an order selected to define a subset of possible combinations of binary index values among all of the sample color indices as invalid combinations. Other embodiments are described and claimed.

    Abstract translation: 各种实施例通常涉及用于在为样本存储所渲染的颜色数据值时使得清除颜色的颜色数据值的存储被延迟的技术。 一种设备包括处理器电路和存储器,用于存储使得处理器电路从取自对象的三维模型的多个样本渲染像素的指令,该像素对应于包括多个颜色存储位置的像素样本数据, 每个都由数字标识符标识,并且其包括多个样本颜色索引,每个样本颜色索引对应于样本以指向至少一个颜色存储位置; 并且以所选择的顺序分配颜色存储位置,以将所有样本颜色索引中的二进制索引值的可能组合的子集定义为无效组合。 描述和要求保护其他实施例。

    PROCESSOR POWER MANAGEMENT
    96.
    发明公开

    公开(公告)号:EP4351233A2

    公开(公告)日:2024-04-10

    申请号:EP24158696.5

    申请日:2018-02-23

    Abstract: An apparatus is disclosed with one or more processors including a graphics processing unit, the graphics processing unit including a graphics processing pipeline, and a memory to store data, including graphics data processed by the graphics processing pipeline, wherein the graphics processing unit is to conduct a training session with an application, the training session including a plurality of executions of the application utilizing the graphics processing pipeline, wherein the plurality of executions of the application includes executing the application under a plurality of different operating parameters, a plurality of different hardware configurations, or both, collect performance data for the application during the plurality of executions of the application, generate a performance profile for the application as processed in the graphics processing pipeline based on the collected performance data, train a neural network to configure the graphics processing pipeline based on performance profile data from the performance profile for the application, and utilize the trained neural network to configure the graphics processing pipeline to execute an instance of the application. Furthermore, a method and one or more computer-readable media are disclosed.

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