Parallel grouping decomposition for fast training of large-scale support vector machines
    1.
    发明授权
    Parallel grouping decomposition for fast training of large-scale support vector machines 有权
    用于大规模支持向量机的快速训练的并行分组分解

    公开(公告)号:US07475047B1

    公开(公告)日:2009-01-06

    申请号:US11081983

    申请日:2005-03-16

    IPC分类号: G06F15/18

    摘要: One embodiment of the present invention provides a system that performs parallel grouping decomposition to facilitate expedited training of a support vector machine (SVM). During operation, the system receives a training dataset comprised of data vectors. The system then determines whether any data vector in the dataset violates conditions associated with a current SVM. Next, the system divides the violating data vectors into a number of subsets, thereby allowing parallel SVM training for each subset. The system subsequently builds an independent SVM for each subset in parallel based on the current SVM. The system then constructs a new SVM to replace the current SVM based on the SVMs built for each subset of violating data vectors.

    摘要翻译: 本发明的一个实施例提供一种执行并行分组分解以促进支持向量机(SVM)的加速训练的系统。 在操作期间,系统接收由数据向量组成的训练数据集。 然后,系统确定数据集中的任何数据向量是否违反与当前SVM相关联的条件。 接下来,系统将违规数据向量划分成多个子集,从而允许每个子集的并行SVM训练。 该系统随后基于当前SVM并行构建每个子集的独立SVM。 然后,该系统构建新的SVM,以基于针对违规数据向量的每个子集构建的SVM来替换当前SVM。

    Analytical bandwidth enhancement for monitoring telemetric signals
    2.
    发明授权
    Analytical bandwidth enhancement for monitoring telemetric signals 有权
    用于监测遥测信号的分析带宽增强

    公开(公告)号:US08249824B2

    公开(公告)日:2012-08-21

    申请号:US12494903

    申请日:2009-06-30

    IPC分类号: G06F19/00

    摘要: Some embodiments provide a system that analyzes telemetry data from a monitored system. During operation, the system obtains the telemetry data as a set of telemetric signals from the monitored system and groups the telemetry data into one or more clusters of correlated telemetric signals from the telemetric signals. Next, the system increases a bandwidth associated with monitoring the telemetric signals. To increase the bandwidth, the system omits one or more of the correlated telemetric signals from each of the clusters during sampling of the telemetric signals and estimates the omitted correlated telemetric signals by applying a nonlinear, nonparametric regression technique to the sampled telemetric signals.

    摘要翻译: 一些实施例提供了一种从被监视系统分析遥测数据的系统。 在操作期间,系统从遥控系统中获取遥测数据作为一组遥测信号,并将遥测数据从遥测信号中分组成一个或多个相关遥测信号群集。 接下来,系统增加与监视遥测信号相关联的带宽。 为了增加带宽,在采样遥测信号期间,系统省略来自每个群集的一个或多个相关遥测信号,并通过对采样的遥测信号应用非线性非参数回归技术来估计所省略的相关遥测信号。

    Monitoring a connection in a computer system
    4.
    发明授权
    Monitoring a connection in a computer system 有权
    监视计算机系统中的连接

    公开(公告)号:US08051728B2

    公开(公告)日:2011-11-08

    申请号:US12127257

    申请日:2008-05-27

    IPC分类号: G01N19/00

    摘要: Some embodiments of the present invention provide a system that monitors a connection in a computer system between a connector and a component coupled to the connector. During operation, a first motion parameter of the connector, and a second motion parameter of the component are measured. Then, the connection is monitored by comparing information related to the first motion parameter and information related to the second motion parameter.

    摘要翻译: 本发明的一些实施例提供了一种系统,其监测计算机系统中连接器和耦合到连接器的部件之间的连接。 在操作期间,测量连接器的第一运动参数和部件的第二运动参数。 然后,通过比较与第一运动参数相关的信息和与第二运动参数相关的信息来监视连接。

    Scheduling spin-up operations for a set of hard disk drives
    5.
    发明授权
    Scheduling spin-up operations for a set of hard disk drives 有权
    计划一组硬盘驱动器的自动启动操作

    公开(公告)号:US08028126B2

    公开(公告)日:2011-09-27

    申请号:US12135450

    申请日:2008-06-09

    IPC分类号: G06F12/00

    CPC分类号: G11B19/209

    摘要: Some embodiments of the present invention provide a system for scheduling spin-up operations for a set of hard disk drives (HDDs) in a computer system. During operation, the system determines an available power of the computer system. Next, one or more HDDs are selected from the set of HDDs to be spun-up based on the available power and the power required to spin up each HDD. Then, spin-up operations are scheduled for the selected HDDs.

    摘要翻译: 本发明的一些实施例提供了一种用于为计算机系统中的一组硬盘驱动器(HDD)调度启动操作的系统。 在操作期间,系统确定计算机系统的可用功率。 接下来,基于可用功率和旋转每个HDD所需的功率,从要组合的HDD组中选择一个或多个HDD。 然后,为所选择的HDD安排启动操作。

    ANALYTICAL BANDWIDTH ENHANCEMENT FOR MONITORING TELEMETRIC SIGNALS
    6.
    发明申请
    ANALYTICAL BANDWIDTH ENHANCEMENT FOR MONITORING TELEMETRIC SIGNALS 有权
    用于监测电视信号的分析带宽增强

    公开(公告)号:US20100332185A1

    公开(公告)日:2010-12-30

    申请号:US12494903

    申请日:2009-06-30

    IPC分类号: G06F15/00 G06F17/18

    摘要: Some embodiments provide a system that analyzes telemetry data from a monitored system. During operation, the system obtains the telemetry data as a set of telemetric signals from the monitored system and groups the telemetry data into one or more clusters of correlated telemetric signals from the telemetric signals. Next, the system increases a bandwidth associated with monitoring the telemetric signals. To increase the bandwidth, the system omits one or more of the correlated telemetric signals from each of the clusters during sampling of the telemetric signals and estimates the omitted correlated telemetric signals by applying a nonlinear, nonparametric regression technique to the sampled telemetric signals.

    摘要翻译: 一些实施例提供了一种从被监视系统分析遥测数据的系统。 在操作期间,系统从遥控系统中获取遥测数据作为一组遥测信号,并将遥测数据从遥测信号中分组成一个或多个相关遥测信号群集。 接下来,系统增加与监视遥测信号相关联的带宽。 为了增加带宽,在采样遥测信号期间,系统省略来自每个群集的一个或多个相关遥测信号,并通过对采样的遥测信号应用非线性非参数回归技术来估计所省略的相关遥测信号。

    Simulating a vibration pattern in a computer subsystem
    7.
    发明授权
    Simulating a vibration pattern in a computer subsystem 有权
    模拟计算机子系统中的振动模式

    公开(公告)号:US07801700B2

    公开(公告)日:2010-09-21

    申请号:US12186380

    申请日:2008-08-05

    IPC分类号: G06F19/00

    CPC分类号: G01M7/00 G01M99/005

    摘要: Some embodiments of the present invention provide a system that generates a simulated vibration pattern in a computer subsystem. During operation, a vibration pattern is monitored at a location in the computer subsystem, wherein the vibration pattern is monitored while the computer subsystem is incorporated into the computer system and the computer system is operating. Then, the vibrations of the computer subsystem are mimicked by generating the simulated vibration pattern at the same location in the computer subsystem based on the monitored vibration pattern.

    摘要翻译: 本发明的一些实施例提供一种在计算机子系统中产生模拟振动模式的系统。 在操作期间,在计算机子系统中的位置处监测振动模式,其中在计算机子系统并入计算机系统并且计算机系统正在运行的同时监视振动模式。 然后,通过基于所监视的振动模式在计算机子系统中的相同位置处产生模拟的振动模式来模拟计算机子系统的振动。

    Characterizing the response of a computer system component to vibrations
    8.
    发明申请
    Characterizing the response of a computer system component to vibrations 有权
    表征计算机系统组件对振动的响应

    公开(公告)号:US20100036621A1

    公开(公告)日:2010-02-11

    申请号:US12228407

    申请日:2008-08-11

    IPC分类号: G06F19/00

    CPC分类号: G01R9/04 G01M7/025

    摘要: Some embodiments of the present invention provide a system that characterizes a response of a component in a computer system to vibrations generated by the computer system. First, the system measures the response of the component to vibrations in a frequency range while the component is located outside of the computer system. The system also measures vibrations generated by the computer system in the frequency range during operation of the computer system, wherein the vibrations are measured at a location in the computer system which is configured to receive the component. The system then characterizes the response of the component to vibrations generated by the computer system based on the measured response of the component to vibrations in the frequency range and the measured vibrations in the frequency range at the location.

    摘要翻译: 本发明的一些实施例提供了一种系统,其将计算机系统中的部件的响应表征为由计算机系统产生的振动。 首先,该系统在组件位于计算机系统外部时测量组件对频率范围内的振动的响应。 该系统还测量计算机系统在计算机系统的操作期间在频率范围内产生的振动,其中在计算机系统中被配置为接收组件的位置处测量振动。 然后,该系统基于组件对频率范围内的振动的测量响应和该位置处的频率范围内的测量振动来表征组件对由计算机系统产生的振动的响应。

    SCHEDULING SPIN-UP OPERATIONS FOR A SET OF HARD DISK DRIVES
    9.
    发明申请
    SCHEDULING SPIN-UP OPERATIONS FOR A SET OF HARD DISK DRIVES 有权
    调度一组硬盘驱动器的旋转操作

    公开(公告)号:US20090303632A1

    公开(公告)日:2009-12-10

    申请号:US12135450

    申请日:2008-06-09

    IPC分类号: G11B15/46

    CPC分类号: G11B19/209

    摘要: Some embodiments of the present invention provide a system for scheduling spin-up operations for a set of hard disk drives (HDDs) in a computer system. During operation, the system determines an available power of the computer system. Next, one or more HDDs are selected from the set of HDDs to be spun-up based on the available power and the power required to spin up each HDD. Then, spin-up operations are scheduled for the selected HDDs.

    摘要翻译: 本发明的一些实施例提供了一种用于为计算机系统中的一组硬盘驱动器(HDD)调度启动操作的系统。 在操作期间,系统确定计算机系统的可用功率。 接下来,基于可用功率和旋转每个HDD所需的功率,从要组合的HDD组中选择一个或多个HDD。 然后,为所选择的HDD安排启动操作。

    Optimizing subset selection to facilitate parallel training of support vector machines
    10.
    发明授权
    Optimizing subset selection to facilitate parallel training of support vector machines 有权
    优化子集选择以促进支持向量机的并行训练

    公开(公告)号:US07519563B1

    公开(公告)日:2009-04-14

    申请号:US11053385

    申请日:2005-02-07

    IPC分类号: G06F15/18 G05B13/02

    CPC分类号: G06K9/6269 G06N99/005

    摘要: One embodiment of the present invention provides a system that optimizes subset selection to facilitate parallel training of a support vector machine (SVM). During operation, the system receives a dataset comprised of data points. Next, the system evaluates the data points to produce a class separability measure, and uses the class separability measure to partition the data points in the dataset into N batches. The system then performs SVM training computations on the N batches in parallel to produce support vectors for each of the N batches. Finally, the system performs a final SVM training computation using an agglomeration of support vectors computed for each of the N batches to obtain a substantially optimal solution to the SVM training problem for the entire dataset.

    摘要翻译: 本发明的一个实施例提供一种优化子集选择以促进支持向量机(SVM)的并行训练的系统。 在操作期间,系统接收由数据点组成的数据集。 接下来,系统评估数据点以产生类可分离性度量,并使用类可分离性度量将数据集中的数据点分解成N个批次。 然后,系统对N个批次并行执行SVM训练计算,以产生每个N个批次的支持向量。 最后,系统使用针对N个批次中的每一个计算的支持向量的聚集来执行最终SVM训练计算,以获得对于整个数据集的SVM训练问题的基本上最佳的解决方案。