Using an Idle Duration History to Configure an Idle State of an Entity in a Computing Device
    12.
    发明申请
    Using an Idle Duration History to Configure an Idle State of an Entity in a Computing Device 有权
    使用空闲时间历史记录来配置计算设备中实体的空闲状态

    公开(公告)号:US20150121057A1

    公开(公告)日:2015-04-30

    申请号:US14063194

    申请日:2013-10-25

    Abstract: The described embodiments include a computing device with an entity (a processor, a processor core, etc.) and a controller. In these embodiments, the controller, using an idle duration history, predicts a duration of a next idle period for the entity. Based on the predicted duration of the next idle period, the controller configures the entity to operate in a corresponding idle state.

    Abstract translation: 所描述的实施例包括具有实体(处理器,处理器核心等)和控制器的计算设备。 在这些实施例中,控制器使用空闲持续时间历史预测实体的下一个空闲时段的持续时间。 基于下一个空闲时段的预测持续时间,控制器将该实体配置为在相应的空闲状态下工作。

    PREDICTION FOR POWER GATING
    13.
    发明申请
    PREDICTION FOR POWER GATING 审中-公开
    电力投资预测

    公开(公告)号:US20150067357A1

    公开(公告)日:2015-03-05

    申请号:US14015578

    申请日:2013-08-30

    Abstract: The present application describes embodiments of methods for tournament prediction of power gating in processing devices. Some embodiments of the method include selecting one of a plurality of predictions of a duration of a time to a power state transition of a component in a processing device. The plurality of predictions are generated using a corresponding plurality of prediction algorithms. Some embodiments of the method also include deciding whether to transition the component from a first power state to a second power state based on the selected prediction.

    Abstract translation: 本申请描述了处理设备中电源门控的比赛预测方法的实施例。 该方法的一些实施例包括选择一个时间持续时间的多个预测中的一个到处理设备中的组件的功率状态转换。 使用相应的多个预测算法生成多个预测。 该方法的一些实施例还包括基于所选择的预测来决定是否将分量从第一功率状态转换到第二功率状态。

    MANAGING VARIATIONS AMONG NODES IN PARALLEL SYSTEM FRAMEWORKS

    公开(公告)号:US20170279703A1

    公开(公告)日:2017-09-28

    申请号:US15081558

    申请日:2016-03-25

    CPC classification number: H04L43/16 H04L43/08 H04L67/10 H04L67/1008

    Abstract: Systems, apparatuses, and methods for managing variations among nodes in parallel system frameworks. Sensor and performance data associated with the nodes of a multi-node cluster may be monitored to detect variations among the nodes. A variability metric may be calculated for each node of the cluster based on the sensor and performance data associated with the node. The variability metrics may then be used by a mapper to efficiently map tasks of a parallel application to the nodes of the cluster. In one embodiment, the mapper may assign the critical tasks of the parallel application to the nodes with the lowest variability metrics. In another embodiment, the hardware of the nodes may be reconfigured so as to reduce the node-to-node variability.

    DETERMINING THERMAL TIME CONSTANTS OF PROCESSING SYSTEMS

    公开(公告)号:US20170220022A1

    公开(公告)日:2017-08-03

    申请号:US15010965

    申请日:2016-01-29

    CPC classification number: G06F1/206

    Abstract: A processing system includes one or more processing units to perform operations and one or more sensors to measure a temperature concurrently with the one or more processing units performing the operations. The processing system also includes a controller to receive feedback indicating the temperature and to determine a peak temperature and a thermal time constant for heating of the processing system based on a comparison of the measured temperature to a first temperature that is predicted based on the peak temperature and a previously determined thermal time constant for heating. Some embodiments of the controller can control a performance state of the processing system based on the peak temperature and the thermal time constant for heating of the processing system.

    POWER MANAGEMENT FOR HETEROGENEOUS COMPUTING SYSTEMS

    公开(公告)号:US20170083077A1

    公开(公告)日:2017-03-23

    申请号:US14857574

    申请日:2015-09-17

    Abstract: A computing system includes a set of computing resources and a datastore to store information representing a corresponding idle power consumption metric and a corresponding peak power consumption metric for each computing resource of the set. The computing system further includes a controller coupled to the set of computing resources and the datastore. The controller is to configure the set of computing resources to meet a power budget constraint for the set based on the corresponding idle power consumption metric and the corresponding peak power consumption metric for each computing resource of the set.

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