Hardware apparatuses and methods to perform transactional power management

    公开(公告)号:US10768680B2

    公开(公告)日:2020-09-08

    申请号:US15678025

    申请日:2017-08-15

    Abstract: Methods and apparatuses relating to transactional power management are described. In one embodiment, a hardware apparatus includes a hardware processor having a core, a plurality of power domains to transition to one of a plurality of power states in response to a power management command for each power domain, and a power transaction unit to assign a first power management command as a first power transaction and a second power management command as a second power transaction for concurrent execution, perform a commit of the first power transaction and the second power transaction when there is no conflict between the first power transaction and the second power transaction, and perform an abort of the first power transaction and a commit of the second power transaction when there is a conflict between the first power transaction and the second power transaction.

    Systems, methods and devices for dynamic power management of devices using game theory

    公开(公告)号:US10671404B2

    公开(公告)日:2020-06-02

    申请号:US15896534

    申请日:2018-02-14

    Abstract: Dynamic power management of integrated devices can be accomplished using game theory. In an example, power demands for individual devices (e.g., CPU, GPU, communications, etc.) can be controlled by governors. An engine can determine a system condition (e.g., docked or undocked) and use a reward and/or penalty matrix to determine power settings to provide to governors. Periodically, the engine can reevaluate the system condition and power settings for the governors. For example, device components can be modeled as players in a game. In the case of idle power management scenarios, the players can deploy cooperative gaming strategy to allow the system to be in a low power state.

    Detection of known workload patterns

    公开(公告)号:US11687142B2

    公开(公告)日:2023-06-27

    申请号:US17347474

    申请日:2021-06-14

    CPC classification number: G06F1/324 G06N20/00 G06F1/3203 G06F17/16

    Abstract: Described are mechanisms and methods for applying Machine Learning (ML) techniques for power management at different levels of a power management stack. An apparatus may comprise a first circuitry, a second circuitry, and a third circuitry. The first circuitry may have a plurality of memory registers. The second circuitry may be operable to establish values for a plurality of features based on samples of values of the plurality of memory registers taken at one or more times within a range of time of predetermined length. The third circuitry may be operable to compare the plurality of features against a plurality of learned parameters for a reference workload.

    SYSTEMS, METHODS AND DEVICES FOR DYNAMIC POWER MANAGEMENT OF DEVICES USING GAME THEORY

    公开(公告)号:US20180173538A1

    公开(公告)日:2018-06-21

    申请号:US15896534

    申请日:2018-02-14

    Abstract: Dynamic power management of integrated devices can be accomplished using game theory. In an example, power demands for individual devices (e.g., CPU, GPU, communications, etc.) can be controlled by governors. An engine can determine a system condition (e.g., docked or undocked) and use a reward and/or penalty matrix to determine power settings to provide to governors. Periodically, the engine can reevaluate the system condition and power settings for the governors. For example, device components can be modeled as players in a game. In the case of idle power management scenarios, the players can deploy cooperative gaming strategy to allow the system to be in a low power state.

Patent Agency Ranking