POWER-AWARE, HISTORY-BASED GRAPHICS POWER OPTIMIZATION

    公开(公告)号:US20240211014A1

    公开(公告)日:2024-06-27

    申请号:US18146733

    申请日:2022-12-27

    CPC classification number: G06F1/324 G06F1/3218

    Abstract: Systems, apparatuses, and methods for implementing efficient power optimization in a computing system are disclosed. A system management unit records operating frequencies required for a computing component to execute a first task. The system management unit stores the recorded operating frequencies in a data array or any other predetermined memory location of a computing system. The system management unit uses the recorded operating frequencies to determine operating frequencies for execution of one or more other tasks.

    RUNTIME-LEARNING GRAPHICS POWER OPTIMIZATION

    公开(公告)号:US20240211019A1

    公开(公告)日:2024-06-27

    申请号:US18146776

    申请日:2022-12-27

    CPC classification number: G06F1/329

    Abstract: Systems, apparatuses, and methods for implementing runtime-learning graphics power optimization are illustrated. A system management unit monitors tasks queued for a computing component, such as a central processing unit (CPU) or a graphics processing unit (GPU). The system management unit computes a total number of clock cycles consumed to execute a first task. The system management unit then determines a second task for execution and modifies a current operating frequency by a given percentage while executing the second task. The system management unit determines the number of clock cycles that execution of the second task consumed and compares this to the number of clock cycles for the first task. Based at least in part on the comparison, the system management unit computes a performance sensitivity of tasks similar to the first and second tasks.

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