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    • 1. 发明授权
    • Scheduling an application for performance on a heterogeneous computing system
    • 调度异构计算系统上的性能应用程序
    • US08959370B2
    • 2015-02-17
    • US13121939
    • 2009-10-01
    • Albert ZomayaYoung Choon Lee
    • Albert ZomayaYoung Choon Lee
    • G06F1/00G06F1/32G06F9/50
    • G06F1/3203G06F1/329G06F1/3293G06F9/5038G06F9/5094G06F2209/506Y02D10/122Y02D10/22Y02D10/24
    • The invention concerns scheduling an application comprised of precedence constrained parallel tasks on a high-performance computer system. The computer system has a plurality of processors each enabled to operate on different voltage supply levels. First, a priority order for the tasks based on the computation and communication costs of the tasks is determined. Next, the based on the priority order of the tasks, assigning each task both a processor and a voltage level that substantially minimizes energy consumption and completion time for performing that task when compared to energy consumption and completion time for performing that task on different combinations of processor and voltage level. It is an advantage of the invention that the scheduling takes account not only completion time (makespan), but also energy consumption. Aspects of the invention include a method, software, a scheduling module of a computer and a schedule.
    • 本发明涉及在高性能计算机系统上调度包含优先约束并行任务的应用。 计算机系统具有多个处理器,每个处理器能够在不同的电压供应水平上操作。 首先确定基于任务的计算和通信成本的任务的优先级顺序。 接下来,基于任务的优先顺序,将每个任务分配给处理器和电压电平,所述处理器和电压电平基本上最小化用于执行该任务的能量消耗和完成时间,与用于在不同的组合 处理器和电压电平。 本发明的优点在于,调度不仅考虑完成时间(制造时间),而且考虑能量消耗。 本发明的方面包括计算机的方法,软件,调度模块和时间表。
    • 2. 发明授权
    • Method and system for data arbitration
    • 数据仲裁的方法和系统
    • US08156127B1
    • 2012-04-10
    • US12358066
    • 2009-01-22
    • Young Choon LeeOliver Winslow Selwyn
    • Young Choon LeeOliver Winslow Selwyn
    • G06F7/00G06F17/30
    • G06Q10/063
    • A method, system, and machine-readable medium for transforming raw data into business intelligent data that provides a reliable, consistent value and other associated data for the data element is provided. The method includes determining a most frequently occurring value of the data element from a plurality of regulated data sources, determining a value from a highly ranked regulated data source based on a ranking of a plurality of regulated data sources, and determining a value from a highly ranked non-regulated data source based on a ranking of said plurality of non-regulated data sources. The method further arbitrates from among the determined values and stores information regarding the consistency and origin of the arbitrated value.
    • 提供了一种方法,系统和机器可读介质,用于将原始数据转换为业务智能数据,为数据元素提供可靠,一致的值和其他相关数据。 该方法包括从多个调节数据源确定数据元素的最常出现的值,基于多个调节数据源的排名确定来自高排名的调节数据源的值,以及从高度 基于所述多个非调节数据源的排名来排列非调节数据源。 该方法进一步从确定的值中仲裁并存储关于仲裁值的一致性和起始点的信息。