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    SYSTEM AND METHOD FOR IMPROVING THE PERFORMANCE OF HIGH PERFORMANCE COMPUTING APPLICATIONS ON CLOUD USING INTEGRATED LOAD BALANCING
    13.
    发明申请
    SYSTEM AND METHOD FOR IMPROVING THE PERFORMANCE OF HIGH PERFORMANCE COMPUTING APPLICATIONS ON CLOUD USING INTEGRATED LOAD BALANCING 有权
    使用集成负载平衡改善云层高性能计算应用性能的系统和方法

    公开(公告)号：US20130031545A1

    公开(公告)日：2013-01-31

    申请号：US13192536

    申请日：2011-07-28

    申请人： Anamitra R. Choudhury ,  Thomas George ,  Mona Kedia ,  Yogish Sabharwal ,  Vaibhav Saxena

    发明人： Anamitra R. Choudhury ,  Thomas George ,  Mona Kedia ,  Yogish Sabharwal ,  Vaibhav Saxena

    IPC分类号： G06F9/455 ,  G06F15/16

    CPC分类号： G06F9/5027 ,  G06F9/45558 ,  G06F9/4843 ,  G06F9/5033 ,  G06F9/5072 ,  G06F2009/4557

    摘要： A non-transitory computer-implemented method of load balancing includes calculating an expected cost set associated with an application-specific task of an application executing on a processing resource in a cloud computing environment, and communicating the expected cost set from the processing resource to a cloud management system. Resource mapping of applications currently executing in the cloud computing environment are retrieved, and the application-specific task is assigned to a specific computational resource in the cloud computing environment based on the expected cost set and the resource mapping of applications currently executing in the cloud computing environment. A task to VM (virtual machine) assignment is determined based on the assignment of the application-specific task to the specific computational resource. The task to VM assignment is transferred from the cloud management system to the application executing on the processing resource in the cloud computing environment.

    摘要翻译： 非暂时计算机实现的负载平衡方法包括计算与在云计算环境中的处理资源上执行的应用的特定于应用程序的任务相关联的预期成本集，以及将预期成本集从处理资源传送到 云管理系统。 检索当前在云计算环境中执行的应用程序的资源映射，并且基于预期成本集和当前在云计算中执行的应用程序的资源映射，将特定于应用程序的任务分配给云计算环境中的特定计算资源 环境。 基于将特定于应用程序的任务分配给特定计算资源来确定VM（虚拟机）分配的任务。 VM分配的任务从云管理系统转移到云计算环境中处理资源上执行的应用程序。

    Assessing survey presentations
    14.
    发明授权
    Assessing survey presentations 有权
    评估调查报告

    公开(公告)号：US07769627B2

    公开(公告)日：2010-08-03

    申请号：US11013484

    申请日：2004-12-16

    申请人： Yogish Sabharwal ,  Raghavendra Singh

    发明人： Yogish Sabharwal ,  Raghavendra Singh

    IPC分类号： G06Q10/00

    CPC分类号： G06Q30/02 ,  G06Q30/0203 ,  G06Q30/0204

    摘要： Measurement errors arising from presentation aspects of a survey are detected and can be corrected, based upon responses from a selected set of respondents to different survey presentations. The survey presentations are different not in their information content, but in their presentation, such as using a different order of questions. An alternative presentation or presentations for the survey can be derived such that the measurement error is reduced. Accordingly, an “unbiased” survey can be designed in the pre-deployment phase, or measurement errors can be detected and corrected during the deployment phase.

    摘要翻译： 检测出调查表现方面产生的测量误差，并根据所选择的一组受访者对不同的调查表现的回应进行修正。 调查报告的内容不同于其信息内容，但在其演示文稿中，例如使用不同的问题顺序。 可以推导出调查的另一种表示或演示，从而降低了测量误差。 因此，可以在部署前阶段设计“无偏见”的调查，或者在部署阶段可以检测和纠正测量错误。

    Performance Evaluation of Algorithmic Tasks and Dynamic Parameterization on Multi-Core Processing Systems
    15.
    发明申请
    Performance Evaluation of Algorithmic Tasks and Dynamic Parameterization on Multi-Core Processing Systems 审中-公开
    多核处理系统中算法任务和动态参数化的性能评估

    公开(公告)号：US20090144744A1

    公开(公告)日：2009-06-04

    申请号：US11947156

    申请日：2007-11-29

    申请人： John A. Gunnels ,  Shakti Kapoor ,  Ravi Kothari ,  Yogish Sabharwal ,  James C. Sexton

    发明人： John A. Gunnels ,  Shakti Kapoor ,  Ravi Kothari ,  Yogish Sabharwal ,  James C. Sexton

    IPC分类号： G06F9/50 ,  G06F9/44

    CPC分类号： G06F9/4881 ,  G06F11/3414 ,  G06F11/3447 ,  G06F2201/88 ,  G06F2209/483 ,  G06F2209/485

    摘要： A method for evaluating performance of DMA-based algorithmic tasks on a target multi-core processing system includes the steps of: inputting a template for a specified task, the template including DMA-related parameters specifying DMA operations and computational operations to be performed; evaluating performance for the specified task by running a benchmark on the target multi-core processing system, the benchmark being operative to generate data access patterns using DMA operations and invoking prescribed computation routines as specified by the input template; and providing results of the benchmark indicative of a measure of performance of the specified task corresponding to the target multi-core processing system.

    摘要翻译： 一种用于评估目标多核处理系统上基于DMA的算法任务的性能的方法包括以下步骤：输入用于指定任务的模板，该模板包括指定要执行的DMA操作和计算操作的DMA相关参数; 通过在目标多核处理系统上运行基准来评估指定任务的性能，该基准用于使用DMA操作生成数据访问模式，并调用由输入模板指定的规定的计算例程; 并提供表示与目标多核处理系统对应的指定任务的性能度量的基准测试结果。

    Identifying and validating survey objectives
    16.
    发明申请
    Identifying and validating survey objectives 审中-公开
    识别和验证调查目标

    公开(公告)号：US20070043606A1

    公开(公告)日：2007-02-22

    申请号：US11207965

    申请日：2005-08-19

    申请人： Ravi Kothari ,  Yogish Sabharwal ,  Raghavendra Singh

    发明人： Ravi Kothari ,  Yogish Sabharwal ,  Raghavendra Singh

    IPC分类号： G06F17/30

    CPC分类号： G06Q30/02 ,  G06Q30/0203 ,  G06Q30/0204

    摘要： Historical data accumulated during routine business operations is analyzed to prepare a ranked list of prospective objectives for a survey. Specified relationships are used in conjunction with relationships inferred from the historical data. Collectively, these relationships are referred to as the model. Deviation of the current data or a subset of the data from the model, and the extent of this deviation, is used to prepare a ranked list of prospective objectives for a survey. Surveys focusing on one or more of these objectives are prepared for obtaining business intelligence. A list of prospective objectives of a survey is validated against the model to design more informative surveys.

    摘要翻译： 分析日常业务运营过程中累积的历史数据，准备排名前景的调查目标。 指定的关系与从历史数据推断的关系结合使用。 总的来说，这些关系被称为模型。 当前数据或模型数据子集的偏差以及该偏差的程度用于准备排名前景调查目标的列表。 针对一个或多个这些目标的调查准备用于获得商业智能。 根据模型验证调查的前瞻性目标，以设计更多的信息调查。

    Method for improving the performance of high performance computing applications on Cloud using integrated load balancing
    17.
    发明授权
    Method for improving the performance of high performance computing applications on Cloud using integrated load balancing 有权
    使用集成负载平衡来提高云上高性能计算应用程序性能的方法

    公开(公告)号：US09021477B2

    公开(公告)日：2015-04-28

    申请号：US13596345

    申请日：2012-08-28

    申请人： Anamitra R. Choudhury ,  Thomas George ,  Monu Kedia ,  Yogish Sabharwal ,  Vaibhav Saxena

    发明人： Anamitra R. Choudhury ,  Thomas George ,  Monu Kedia ,  Yogish Sabharwal ,  Vaibhav Saxena

    IPC分类号： G06F9/455 ,  G06F9/46 ,  G06F15/173 ,  G06F9/50 ,  G06F9/48

    CPC分类号： G06F9/5027 ,  G06F9/45558 ,  G06F9/4843 ,  G06F9/5033 ,  G06F9/5072 ,  G06F2009/4557

    摘要： A computer-implemented method of load balancing including calculating an expected cost set associated with an application-specific task of an application executing on a processing resource in a cloud computing environment, and communicating the expected cost set from the processing resource to a cloud management system. Resource mapping of applications currently executing in the cloud computing environment are retrieved, the application-specific task is assigned to a specific computational resource in the cloud computing environment based on the expected cost set and the resource mapping of applications currently executing in the cloud computing environment. A task to VM (virtual machine) assignment is determined based on the assignment of the application-specific task to the specific computational resource. The task to VM assignment is transferred from the cloud management system to the application executing on the processing resource in the cloud computing environment.

    摘要翻译： 一种计算机实现的负载平衡方法，包括计算与在云计算环境中的处理资源上执行的应用的特定于应用程序的任务相关联的预期成本集，并将预期成本集从处理资源传送到云管理系统 。 检索当前在云计算环境中执行的应用程序的资源映射，基于预期成本集和当前在云计算环境中执行的应用程序的资源映射，将应用程序特定任务分配给云计算环境中的特定计算资源 。 基于将特定于应用程序的任务分配给特定计算资源来确定VM（虚拟机）分配的任务。 VM分配的任务从云管理系统转移到云计算环境中处理资源上执行的应用程序。

    System for improving the performance of high performance computing applications on cloud using integrated load balancing
    18.
    发明授权
    System for improving the performance of high performance computing applications on cloud using integrated load balancing 有权
    使用集成负载平衡提高云上高性能计算应用程序性能的系统

    公开(公告)号：US09015708B2

    公开(公告)日：2015-04-21

    申请号：US13192536

    申请日：2011-07-28

    申请人： Anamitra R. Choudhury ,  Thomas George ,  Monu Kedia ,  Yogish Sabharwal ,  Vaibhav Saxena

    发明人： Anamitra R. Choudhury ,  Thomas George ,  Monu Kedia ,  Yogish Sabharwal ,  Vaibhav Saxena

    IPC分类号： G06F9/455 ,  G06F9/46 ,  G06F15/173 ,  G06F9/50 ,  G06F9/48

    CPC分类号： G06F9/5027 ,  G06F9/45558 ,  G06F9/4843 ,  G06F9/5033 ,  G06F9/5072 ,  G06F2009/4557

    摘要： A non-transitory computer-implemented method of load balancing includes calculating an expected cost set associated with an application-specific task of an application executing on a processing resource in a cloud computing environment, and communicating the expected cost set from the processing resource to a cloud management system. Resource mapping of applications currently executing in the cloud computing environment are retrieved, and the application-specific task is assigned to a specific computational resource in the cloud computing environment based on the expected cost set and the resource mapping of applications currently executing in the cloud computing environment. A task to VM (virtual machine) assignment is determined based on the assignment of the application-specific task to the specific computational resource. The task to VM assignment is transferred from the cloud management system to the application executing on the processing resource in the cloud computing environment.

    摘要翻译： 非暂时计算机实现的负载平衡方法包括计算与在云计算环境中的处理资源上执行的应用的特定于应用程序的任务相关联的预期成本集，以及将预期成本集从处理资源传送到 云管理系统。 检索当前在云计算环境中执行的应用程序的资源映射，并且基于预期成本集和当前在云计算中执行的应用程序的资源映射，将特定于应用程序的任务分配给云计算环境中的特定计算资源 环境。 基于将特定于应用程序的任务分配给特定计算资源来确定VM（虚拟机）分配的任务。 VM分配的任务从云管理系统转移到云计算环境中处理资源上执行的应用程序。

    Spatio-temporal image reconstruction using sparse regression and secondary information
    19.
    发明授权
    Spatio-temporal image reconstruction using sparse regression and secondary information 有权
    使用稀疏回归和二次信息的时空图像重建

    公开(公告)号：US08379947B2

    公开(公告)日：2013-02-19

    申请号：US12790199

    申请日：2010-05-28

    申请人： Rahul Garg ,  Monu Kedia ,  Yogish Sabharwal

    发明人： Rahul Garg ,  Monu Kedia ,  Yogish Sabharwal

    IPC分类号： G06K9/00

    CPC分类号： G06T11/006 ,  G06T2211/412 ,  G06T2211/424

    摘要： A spatio-temporal image of an object is reconstructed based on captured data characterizing the object. The spatio-temporal image comprises a plurality of spatial images in respective time intervals, and at least a given one of the spatial images in one of the time intervals is reconstructed using not only captured data from a frame associated with that time interval but also captured data associated with one or more additional frames associated with other time intervals. The spatio-temporal image may be reconstructed by iteratively obtaining a solution to a minimization or maximization problem in a sparse domain and transforming the solution to an image domain. The transformation between the sparse domain and the image domain may utilize a spatio-temporal transformation implemented using a plurality of basis functions, one or more of which may be determined at least in part based on secondary information associated with the imaged object.

    摘要翻译： 基于表征对象的捕获数据来重构对象的时空图像。 空间 - 时间图像包括各个时间间隔中的多个空间图像，并且使用不仅来自与该时间间隔相关联的帧的捕获数据来重构时间间隔之一中的至少一个空间图像中的给定的一个，而且还捕获 与与其他时间间隔相关联的一个或多个附加帧相关联的数据。 可以通过迭代地获得稀疏域中的最小化或最大化问题的解决方案并将解决方案转换为图像域来重构时空图像。 稀疏域和图像域之间的变换可以利用使用多个基本函数实现的时空变换，其中的一个或多个可以至少部分地基于与成像对象相关联的次要信息来确定。