Adaptive Loading-Aware System Management for Balancing Power and Performance

    公开(公告)号:US20240385674A1

    公开(公告)日:2024-11-21

    申请号:US18547130

    申请日:2023-02-10

    Applicant: MediaTek Inc.

    Abstract: A computing system performs balanced power management based on requirements of graphics scenes in a video game. Based on the requirements of the graphics scenes, the system selects one or more performance metrics to reduce in real-time, where the performance metrics are indicators of video game quality. The system compares estimated power consumption with a power budget after reducing the one or more performance metrics. Based on the requirements of the graphics scenes, the system further selects one or more quality enhancers to activate in real-time while keeping the estimated power consumption within the power budget. Each quality enhancer enhances the video game with respect to a performance metric. The system then displays the video game enhanced by the one or more quality enhancers.

    Super-Resolution System Management Using Artificial Intelligence for Gaming Applications

    公开(公告)号:US20240144430A1

    公开(公告)日:2024-05-02

    申请号:US18492836

    申请日:2023-10-24

    Applicant: MediaTek Inc.

    CPC classification number: G06T3/4053 G06F11/3062 G06T3/4046

    Abstract: A computing system performs artificial-intelligence (AI) super-resolution (SR). The computing system includes multiple processors, which further includes a graphics processing unit (GPU) and an AI processing unit (APU). The computing system also includes a memory to store AI models. When detecting an indication that the loading of the GPU exceeds a threshold, the processors reduce the resolution of a video output from the GPU in response to the indication. One of the AI models is selected based on graphics scenes in the video and the respective power consumption estimates of the AI models. The processors then perform AI SR operations on the video using the selected AI model to restore the resolution of the video for display.

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