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    • 1. 发明授权
    • Method and apparatus for detecting memory leaks in computer systems
    • 用于检测计算机系统中的内存泄漏的方法和装置
    • US07716648B2
    • 2010-05-11
    • US11195015
    • 2005-08-02
    • Kalyanaraman VaidyanathanSajjit ThampyKenny C. Gross
    • Kalyanaraman VaidyanathanSajjit ThampyKenny C. Gross
    • G06F9/44
    • G06F11/3452G06F12/023
    • A system that identifies processes with a memory leak in a computer system. During operation, the system periodically samples memory usage for processes running on the computer system. The system then ranks the processes by memory usage and selects a specified number of processes with highest memory usage based on the ranking. For each selected process, the system computes a first-order difference of memory usage by taking a difference between the memory usage at a current sampling time and the memory usage at an immediately preceding sampling time. The system then generates a memory-leak index based on the first-order difference and a preceding memory-leak index computed at the immediately preceding sampling time.
    • 识别计算机系统中内存泄漏的进程的系统。 在运行期间,系统会周期性地对运行在计算机系统上的进程进行内存使用。 然后,系统通过内存使用对进程进行排序,并根据排名选择具有最高内存使用量的指定数量的进程。 对于每个所选择的处理,系统通过取得当前采样时间的存储器使用量与紧接在前的采样时间的存储器使用量之间的差异来计算存储器使用的一阶差。 然后,系统基于一阶差异和在紧接在前的采样时间计算的先前的存储器 - 泄漏索引来生成内存泄漏索引。
    • 3. 发明授权
    • Barycentric coordinate technique for resampling quantized signals
    • 用于重新采样量化信号的重心坐标技术
    • US07573952B1
    • 2009-08-11
    • US11210570
    • 2005-08-23
    • Sajjit ThampyKenny C. GrossKeith Whisnant
    • Sajjit ThampyKenny C. GrossKeith Whisnant
    • H04L27/00
    • G06F17/18
    • One embodiment of the present invention provides a system that resamples a quantized signal. During operation, the system receives the quantized signal. Next, the system smoothes and resamples the quantized signal to produce a resampled signal. The system then quantizes the resampled signal to produce a quantized resampled signal. For a given time point, the system determines a probability distribution for the resampled signal across quantization levels at the given time point by using information about the values of the resampled signal at neighboring time points. Note that the probability distribution specifies the probability that the resampled signal would be sampled at specific quantization levels. The system then uses the probability distribution to probabilistically select a quantization level for the resampled signal for the given time point.
    • 本发明的一个实施例提供一种重新采样量化信号的系统。 在运行期间,系统接收量化信号。 接下来,系统平滑和重新采样量化信号以产生重采样信号。 然后,系统对重采样信号进行量化以产生量化的重采样信号。 对于给定的时间点,系统通过使用关于在相邻时间点的重采样信号的值的信息来确定在给定时间点处跨量化电平的重采样信号的概率分布。 注意,概率分布规定了在特定量化级别对采样信号进行采样的概率。 系统然后使用概率分布概率地选择给定时间点的重采样信号的量化电平。
    • 4. 发明授权
    • Method and apparatus for optimizing support vector machine kernel parameters
    • 优化支持向量机内核参数的方法和装置
    • US07283984B1
    • 2007-10-16
    • US11049146
    • 2005-02-01
    • Sajjit ThampyAleksey M. UrmanovKenny C. Gross
    • Sajjit ThampyAleksey M. UrmanovKenny C. Gross
    • G06F17/00G06N5/00
    • G06K9/6269G06N99/005
    • One embodiment of the present invention provides a system that optimizes support vector machine (SVM) kernel parameters. During operation, the system assigns sets of kernel parameter values to each node in a multiprocessor system. Next, the system performs a cross-validation operation at each node in the multiprocessor system based on a data set. This cross-validation operation computes an error cost value reflecting the number of misclassifications that arise while classifying the data set using the assigned set of kernel parameter values. The system then communicates the computed error cost values between nodes in the multiprocessor system, and eliminates nodes with relatively high error cost values. Next, the system performs a cross-over operation in which kernel parameter values are exchanged between remaining nodes to produce new sets of kernel parameter values. This process is repeated until a global winning set of kernel parameter values emerges.
    • 本发明的一个实施例提供一种优化支持向量机(SVM)内核参数的系统。 在运行期间,系统会为多处理器系统中的每个节点分配一组内核参数值。 接下来,系统基于数据集在多处理器系统中的每个节点处执行交叉验证操作。 该交叉验证操作计算反映在使用分配的一组内核参数值对数据集进行分类时出现的错误分类数量的错误成本值。 然后,系统在多处理器系统中的节点之间传送计算出的错误成本值,并消除具有相对较高错误成本值的节点。 接下来,系统执行交叉操作,其中在剩余节点之间交换内核参数值以产生新的内核参数值集合。 重复此过程,直到出现全局获胜的内核参数值集。
    • 7. 发明授权
    • Reduced energy consumption using active vibration control
    • 使用主动振动控制降低能耗
    • US08139467B2
    • 2012-03-20
    • US12469023
    • 2009-05-20
    • Kenny C. GrossKalyanaraman VaidyanathanAleksey M. Urmanov
    • Kenny C. GrossKalyanaraman VaidyanathanAleksey M. Urmanov
    • G11B17/00
    • G11B33/144G11B19/042G11B33/08
    • Embodiments of a computer system that includes a vibration-cancelling mode, and a related method and computer-program product (e.g., software) for use with the computer system, are described. During operation, a processor monitors operations in the computer system, and may select either the vibration-cancelling mode or an inactive mode based on the monitored operations. For example, the processor may select the vibration-cancelling mode when there are input/output-(I/O) intensive workloads to an array of one or more hard disk drives (HDDs) in the computer system. In this way, the processor may reduce the energy consumption associated with vibration-induced retries to the HDDs (and reduced I/O throughput) without increasing the energy consumption associated with active vibration damping at other times, such as when the computer system is idle or during processor-intensive workloads.
    • 描述了包括振动消除模式的计算机系统的实施例,以及与计算机系统一起使用的相关方法和计算机程序产品(例如,软件)。 在操作期间,处理器监视计算机系统中的操作,并且可以基于所监视的操作来选择振动消除模式或不活动模式。 例如,当计算机系统中的一个或多个硬盘驱动器(HDD)的阵列存在输入/输出(I / O)密集型工作负载时,处理器可以选择振动消除模式。 以这种方式,处理器可以减少与振动引起的对HDD的重试相关的能量消耗(和降低的I / O吞吐量),而不会增加与其他时间的主动减振相关联的能量消耗,例如当计算机系统空闲时 或在处理器密集型工作负载期间。
    • 10. 发明授权
    • Selectively mitigating multiple vibration sources in a computer system
    • 选择性地减轻计算机系统中的多个振动源
    • US07761244B2
    • 2010-07-20
    • US11852059
    • 2007-09-07
    • Kenny C. GrossAleksey M. UrmanovKalyanaraman Vaidyanathan
    • Kenny C. GrossAleksey M. UrmanovKalyanaraman Vaidyanathan
    • G06F19/00G11B5/00
    • G11B33/08
    • One embodiment of the present invention provides a system that mitigates the effects of multiple vibration sources on a set of hard disk drives (HDDs) within a computer system. During operation, the system identifies a target HDD in the set of HDDs, wherein the performance of the target HDD is affected by mechanical vibrations. The system also identifies one or more primary vibration sources from the multiple vibration sources that affect the performance of the target HDD. Next, for each of the primary vibration sources, the system measures a first time-domain signal associated with the operation of the primary vibration source using a first vibration transducer associated with the primary vibration source. The system also measures a second time-domain signal associated with the target HDD using a second vibration transducer associated with the target HDD. Next, for each of the primary vibration sources, the system then computes a cross-power-spectral-density (CPSD) between the first and the second time-domain signals. The system then selectively mitigates the primary vibration sources based on the CPSDs between the primary vibration sources and the target HDD.
    • 本发明的一个实施例提供一种减轻多个振动源对计算机系统内的一组硬盘驱动器(HDD)的影响的系统。 在操作期间,系统识别该组HDD中的目标HDD,其中目标HDD的性能受到机械振动的影响。 该系统还识别影响目标HDD性能的多个振动源的一个或多个主要振动源。 接下来,对于每个主振动源,系统使用与主振动源相关联的第一振动换能器来测量与主振动源的操作相关联的第一时域信号。 该系统还使用与目标HDD相关联的第二振动传感器来测量与目标HDD相关联的第二时域信号。 接下来,对于每个主振动源,系统然后计算第一和第二时域信号之间的交叉功率谱密度(CPSD)。 然后,该系统基于主振动源和目标HDD之间的CPSD选择性地减轻主振动源。