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    • 21. 发明授权
    • System and method for monitoring reliability of a digital system
    • 监控数字系统可靠性的系统和方法
    • US07495519B2
    • 2009-02-24
    • US11742018
    • 2007-04-30
    • Dae Ik KimJonghae KimMoon Ju KimJames R. MoulicHong Hua Song
    • Dae Ik KimJonghae KimMoon Ju KimJames R. MoulicHong Hua Song
    • G01R23/00H03B5/24H03K3/03
    • G01R31/31937G01R31/31725
    • System and method are provided for continually monitoring reliability, or aging, of a digital system and for issuing a warning signal if digital system operation degrades past a specified threshold. The technique includes implementing a ring oscillator sensor in association with the digital system, wherein logic and/or device percent composition of the ring oscillator sensor mirrors percent composition thereof within the digital system. Counter logic is coupled to the ring oscillator sensor for converting outputted count signals to an oscillation frequency, and control logic is coupled to the counter logic for periodically evaluating oscillation frequency of the ring oscillator sensor and generating a warning signal indicative of reliability degradation if at least one of: (i) a measured or estimated oscillation frequency is below a warning threshold frequency; or (ii) a measured or estimated rate of change in a difference between measured oscillation frequencies exceeds an acceptable rate of change threshold.
    • 提供系统和方法用于连续监视数字系统的可靠性或老化,并且如果数字系统操作降低到指定的阈值以上,则发出警告信号。 该技术包括实现与数字系统相关联的环形振荡器传感器,其中环形振荡器传感器的逻辑和/或设备百分比组成反映数字系统内的其组成的百分比。 计数器逻辑耦合到环形振荡器传感器,用于将输出的计数信号转换为振荡频率,并且控制逻辑耦合到计数器逻辑,用于周期性评估环形振荡器传感器的振荡频率,并产生指示可靠性降级的警告信号,如果至少 以下之一:(i)测量或估计的振荡频率低于警告阈值频率; 或者(ii)所测量的振荡频率之间的测量或估计的变化率超过可接受的变化率阈值。
    • 24. 发明授权
    • Query routing based on feature learning of data sources
    • 基于数据源特征学习的查询路由
    • US06886009B2
    • 2005-04-26
    • US10209112
    • 2002-07-31
    • Jun-Jang JengYoussef DrissiMoon Ju KimLev KozakovJuan Leon-Rodriquez
    • Jun-Jang JengYoussef DrissiMoon Ju KimLev KozakovJuan Leon-Rodriquez
    • G06F17/30
    • G06F17/30864Y10S707/99933
    • Query routing is based on identifying the preeminent search systems and data sources for each of a number of information domains. This involves assigning a weight to each search system or data source for each of the information domains. The greater the weight, the more preeminent a search system or data source is in a particular information domain. These weights Wi{1=0, 1,2, . . . N] are computed through a recursive learning process employing meta processing. The meta learning process involves simultaneous interrogation of multiple search systems to take advantage of the cross correlation between the search systems and data sources. In this way, assigning a weight to a search system takes into consideration results obtained about other search systems so that the assigned weights reflect the relative strengths of each of the systems or sources in a particular information domain. In the present process, a domain dataset used as an input to query generator. The query generator extracts keywords randomly from the domain dataset. Sets of the extracted keywords constitute a domain specific search query. The query is submitted to the multiple search systems or sources to be evaluated. Initially, a random average weight is assigned to each search system or source. Then, the meta learning process recursively evaluates the search results and feeds back a weight correction dWi to be applied to each system or source server by using weight difference calculator. After a certain number of iterations, the weights Wi reach stable values. These stable values are the values assigned to the search system under evaluation. When searches are performed, the weights are used to determine search systems or sources that are interrogated.
    • 查询路由是基于为多个信息域中的每一个标识优秀的搜索系统和数据源。 这涉及为每个信息域的每个搜索系统或数据源分配权重。 权重越大,搜索系统或数据源在特定信息域中越是优秀。 这些权重Wi {1 = 0,1,2,... 。 。 N]通过使用元处理的递归学习过程来计算。 元学习过程包括同时询问多个搜索系统,以利用搜索系统和数据源之间的互相关。 以这种方式,向搜索系统分配权重考虑了关于其他搜索系统获得的结果,使得分配的权重反映了特定信息域中的每个系统或源的相对强度。 在本过程中,用作查询生成器的输入的域数据集。 查询生成器从域数据集中随机提取关键字。 所提取的关键字的集合构成域特定的搜索查询。 该查询被提交给要评估的多个搜索系统或源。 最初,随机平均权重被分配给每个搜索系统或源。 然后,元学习处理递归地评估搜索结果,并且通过使用权重差计算器反馈要应用于每个系统或源服务器的权重校正dWi。 经过一定次数的迭代,重量Wi达到稳定值。 这些稳定值是分配给正在评估的搜索系统的值。 当执行搜索时,权重用于确定被询问的搜索系统或源。
    • 25. 发明授权
    • Apparatus, method and program product for adaptive real-time power and perfomance optimization of multi-core processors
    • 多核处理器的自适应实时功耗和性能优化的装置,方法和程序产品
    • US08578193B2
    • 2013-11-05
    • US11946522
    • 2007-11-28
    • Daeik KimJonghae KimMoon Ju KimJames Randal Moulic
    • Daeik KimJonghae KimMoon Ju KimJames Randal Moulic
    • G06F1/00G06F1/26G06F1/32
    • G06F1/324G06F1/32
    • An apparatus, method and program product for optimizing core performance and power in of a multi-core processor. The apparatus includes a multi-core processor coupled to a clock source providing a clock frequency to one or more cores, an independent power supply coupled to each core for providing a supply voltage to each core and a Phase-Locked Loop (PLL) circuit coupled to each core for dynamically adjusting the clock frequency provided to each core. The apparatus further includes a controller coupled to each core and being configured to collect performance data and power consumption data measured for each core and to adjust, using the PLL circuit, a supply voltage provided to a core, such that, the operational core frequency of the core is greater than a specification core frequency preset for the core and, such that, core performance and power consumption is optimized.
    • 一种用于优化多核处理器的核心性能和功耗的设备,方法和程序产品。 该装置包括耦合到时钟源的多核处理器,其为一个或多个核心提供时钟频率,耦合到每个核心的独立电源,用于向每个核心提供电源电压,以及耦合到锁相环 到每个核心,用于动态调整提供给每个核心的时钟频率。 该装置还包括耦合到每个核心并被配置为收集针对每个核心测量的性能数据和功耗数据的控制器,并且使用PLL电路来调整提供给核心的电源电压,使得所述操作核心频率 核心大于为核心预设的规格核心频率,从而优化核心性能和功耗。
    • 28. 发明授权
    • Method, system and program product for predicting computer system resource consumption
    • 用于预测计算机系统资源消耗的方法,系统和程序产品
    • US07831976B2
    • 2010-11-09
    • US11121828
    • 2005-05-04
    • Genady GrabarnikMoon Ju KimLev KozakovLarisa Shwartz
    • Genady GrabarnikMoon Ju KimLev KozakovLarisa Shwartz
    • G06F9/46G06F15/16G06F15/177
    • G06F11/3447G06F9/505G06F9/5072G06F11/3404G06F11/3409G06F11/3414G06F11/3466G06F2209/5019
    • Under the present invention, a computer work gradient matrix is built for each computer system that is interconnected in an environment. For each computer system for which resource consumption is desired to be predicted (e.g., “target” computer systems), a transition work cocycle is generated and provided to a master computer system. A set of task work paths will be constructed for the master computer system. Thereafter, an initial resource consumption value can be computed on the master computer system based on the computer work gradient matrix and the set of task work paths for the master computer system as well as a current background loading level that is being experienced by the target computer system. Then, using the initial resource consumption and the transition work cocycle for the target computer system(s), a resource consumption of the target computer system(s) can be predicted on the master computer system.
    • 根据本发明,为在环境中互连的每个计算机系统构建计算机工作梯度矩阵。 对于期望预测资源消耗的每个计算机系统(例如,“目标”计算机系统)),生成转换工作循环并将其提供给主计算机系统。 将为主计算机系统构建一组任务工作路径。 此后,可以在主计算机系统上基于计算机工作梯度矩阵和主计算机系统的任务工作路径集合以及目标计算机正在经历的当前后台加载水平来计算初始资源消耗值 系统。 然后,使用初始资源消耗和目标计算机系统的转换工作循环,可以在主计算机系统上预测目标计算机系统的资源消耗。