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    Spatio-Temporal Image Reconstruction Using Sparse Regression and Secondary Information
    1.
    发明申请
    Spatio-Temporal Image Reconstruction Using Sparse Regression and Secondary Information 有权
    使用稀疏回归和次级信息的时空图像重建

    公开(公告)号：US20110293193A1

    公开(公告)日：2011-12-01

    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： G06K9/54

    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。

    Spatio-temporal image reconstruction using sparse regression and secondary information
    2.
    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。

    Method for improving the performance of high performance computing applications on Cloud using integrated load balancing
    3.
    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
    4.
    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。

    METHOD FOR IMPROVING THE PERFORMANCE OF HIGH PERFORMANCE COMPUTING APPLICATIONS ON CLOUD USING INTEGRATED LOAD BALANCING
    5.
    发明申请
    METHOD FOR IMPROVING THE PERFORMANCE OF HIGH PERFORMANCE COMPUTING APPLICATIONS ON CLOUD USING INTEGRATED LOAD BALANCING 有权
    使用集成负载平衡提高云层高性能计算应用性能的方法

    公开(公告)号：US20130031550A1

    公开(公告)日：2013-01-31

    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

    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。

    METHOD FOR MASSIVELY PARALLEL MULTI-CORE TEXT INDEXING
    6.
    发明申请
    METHOD FOR MASSIVELY PARALLEL MULTI-CORE TEXT INDEXING 失效
    用于大规模并行多重文本索引的方法

    公开(公告)号：US20100094870A1

    公开(公告)日：2010-04-15

    申请号：US12248430

    申请日：2008-10-09

    申请人： Ankur Narang ,  Vikas Agarwal ,  Vijay Kumar Garg ,  Douglas James Joseph ,  Monu Kedia ,  Magad M. Michael

    发明人： Ankur Narang ,  Vikas Agarwal ,  Vijay Kumar Garg ,  Douglas James Joseph ,  Monu Kedia ,  Magad M. Michael

    IPC分类号： G06F17/30 ,  G06F9/00

    CPC分类号： G06F17/30011

    摘要： There is provided, in a parallel pipelined structure on a multi-core device, a method for parallel pipelined multi-core indexing. The method includes generating one or more single document indexes respectively corresponding to one or more single documents of a given data stream. The method further includes generating one or more multi-document interval-based hash tables from the one or more single document indexes. The method also includes generating a global hash table formed from merging one or more of the multi-document interval-based hash tables, the global hash table representing a collective index for all of the single documents for which the one or more single document indexes were generated.

    摘要翻译： 在多核设备上以并行流水线结构提供了一种用于并行流水线多核索引的方法。 该方法包括分别对应于给定数据流的一个或多个单个文档生成一个或多个单个文档索引。 该方法还包括从一个或多个单个文档索引生成一个或多个基于多文档间隔的散列表。 该方法还包括生成通过合并一个或多个基于多文档间隔的散列表形成的全局哈希表，全局散列表表示一个或多个单个文档索引的所有单个文档的集合索引 生成。

    Method for massively parallel multi-core text indexing
    8.
    发明授权
    Method for massively parallel multi-core text indexing 失效
    大规模并行多核文本索引的方法

    公开(公告)号：US08229916B2

    公开(公告)日：2012-07-24

    申请号：US12248430

    申请日：2008-10-09

    申请人： Ankur Narang ,  Vikas Agarwal ,  Vijay Kumar Garg ,  Douglas James Joseph ,  Monu Kedia ,  Maged M. Michael

    发明人： Ankur Narang ,  Vikas Agarwal ,  Vijay Kumar Garg ,  Douglas James Joseph ,  Monu Kedia ,  Maged M. Michael

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30011

    摘要： There is provided, in a parallel pipelined structure on a multi-core device, a method for parallel pipelined multi-core indexing. The method includes generating one or more single document indexes respectively corresponding to one or more single documents of a given data stream. The method further includes generating one or more multi-document interval-based hash tables from the one or more single document indexes. The method also includes generating a global hash table formed from merging one or more of the multi-document interval-based hash tables, the global hash table representing a collective index for all of the single documents for which the one or more single document indexes were generated.

    摘要翻译： 在多核设备上以并行流水线结构提供了一种用于并行流水线多核索引的方法。 该方法包括分别对应于给定数据流的一个或多个单个文档生成一个或多个单个文档索引。 该方法还包括从一个或多个单个文档索引生成一个或多个基于多文档间隔的散列表。 该方法还包括生成通过合并一个或多个基于多文档间隔的散列表形成的全局哈希表，全局散列表表示一个或多个单个文档索引的所有单个文档的集合索引 生成。