PERFORMING POWER MANAGEMENT IN A MULTICORE PROCESSOR
    1.
    发明申请
    PERFORMING POWER MANAGEMENT IN A MULTICORE PROCESSOR 有权
    在多处理器中执行电源管理

    公开(公告)号:US20160239065A1

    公开(公告)日:2016-08-18

    申请号:US14621731

    申请日:2015-02-13

    IPC分类号: G06F1/32 G06F9/50

    摘要: In an embodiment, a processor a plurality of cores to independently execute instructions, the cores including a plurality of counters to store performance information, and a power controller coupled to the plurality of cores, the power controller having a logic to receive performance information from at least some of the plurality of counters, determine a number of cores to be active and a performance state for the number of cores for a next operation interval, based at least in part on the performance information and model information, and cause the number of cores to be active during the next operation interval, the performance information associated with execution of a workload on one or more of the plurality of cores. Other embodiments are described and claimed.

    摘要翻译: 在一个实施例中,处理器用于独立地执行指令的多个核心,所述核心包括存储性能信息的多个计数器以及耦合到所述多个核心的功率控制器,所述功率控制器具有从其中接收性能信息的逻辑 至少部分地基于性能信息和模型信息来确定多个计数器中的一些,以确定要激活的核心数量和用于下一个操作间隔的核心数量的性能状态,并且引起核心数量 在下一个操作间隔期间处于活动状态,所述性能信息与所述多个核心中的一个或多个核心上的工作负载的执行相关联。 描述和要求保护其他实施例。

    GLOBAL AND TOPICAL RANKING OF SEARCH RESULTS USING USER CLICKS
    3.
    发明申请
    GLOBAL AND TOPICAL RANKING OF SEARCH RESULTS USING USER CLICKS 审中-公开
    使用用户点击搜索结果的全球和主题排名

    公开(公告)号:US20110029517A1

    公开(公告)日:2011-02-03

    申请号:US12533564

    申请日:2009-07-31

    IPC分类号: G06F17/30

    CPC分类号: G06F16/951

    摘要: To estimate, or predict, the relevance of items, or documents, in a set of search results, relevance information is extracted from user click data, and relational information among the documents as manifested by an aggregation of user clicks is determined from the click data. A supervised approach uses judgment information, such as human judgment information, as part of the training data used to generate a relevance predictor model, which minimizes the inherent noisiness of the click data collected from a commercial search engine.

    摘要翻译: 为了在一组搜索结果中估计或预测项目或文档的相关性,从用户点击数据中提取相关性信息,并且从点击数据确定由用户点击的聚合表现的文档之间的关系信息 。 受监督的方法使用诸如人类判断信息之类的判断信息作为用于生成相关性预测器模型的训练数据的一部分,其使从商业搜索引擎收集的点击数据的固有噪声最小化。