公开(公告)号：US08910153B2

公开(公告)日：2014-12-09

申请号：US12502074

申请日：2009-07-13

Applicant: Vishakha Gupta ,  Niraj Tolia ,  Vanish Talwar ,  Partha Ranganathan

Inventor： Vishakha Gupta ,  Niraj Tolia ,  Vanish Talwar ,  Partha Ranganathan

IPC: G06F9/46 ,  G06F9/455 ,  G06F9/50

CPC classification number: G06F9/5077 ,  G06F9/455

Abstract: A system and method is shown that includes an admission control module that resides in a management/driver domain, the admission control module to admit a domain that is part of a plurality of domains, into the computer system based upon one of a plurality of accelerators satisfying a resource request of the domain. The system and method also includes a load balancer module, which resides in the management/driver domain, the load balancer to balance at least one load from the plurality of domains across the plurality of accelerators. Further, the system and method also includes a scheduler module that resides in the management/driver domain, the scheduler to multiplex multiple requests from the plurality of domains to one of the plurality of accelerators.

Abstract translation: 示出了一种系统和方法，其包括驻留在管理/驱动器域中的准入控制模块，所述准入控制模块基于多个加速器中的一个加速器，所述准入控制模块将许可为多个域的一部分的域接纳到所述计算机系统中 满足域的资源请求。 系统和方法还包括位于管理/驱动器域中的负载平衡器模块，负载平衡器以平衡来自多个加速器中的多个域的至少一个负载。 此外，系统和方法还包括驻留在管理/驱动器域中的调度器模块，调度器将来自多个域的多个请求复用到多个加速器中的一个。

公开(公告)号：US20190138554A1

公开(公告)日：2019-05-09

申请号：US16235823

申请日：2018-12-28

Applicant: Luis Carlos Maria Remis ,  Vishakha Gupta ,  Christina R. Strong ,  Philip R. Lantz

Inventor： Luis Carlos Maria Remis ,  Vishakha Gupta ,  Christina R. Strong ,  Philip R. Lantz

IPC: G06F16/901 ,  G06K9/62 ,  G06F16/903

Abstract: In one embodiment, an apparatus comprises a storage device and a processor. The storage device stores a feature vector index, wherein the feature vector index comprises a sparse-array data structure representing a feature space for a set of labeled feature vectors, wherein the set of labeled feature vectors are assigned to a plurality of classes. The processor is to: receive a query corresponding to a target feature vector; access, via the storage device, a first portion of the feature vector index, wherein the first portion of the feature vector index comprises a subset of labeled feature vectors that correspond to a same portion of the feature space as the target feature vector; determine the corresponding class of the target feature vector based on the subset of labeled feature vectors; and provide a response to the query based on the corresponding class.

公开(公告)号：US20170090807A1

公开(公告)日：2017-03-30

申请号：US14866941

申请日：2015-09-26

Applicant: Vishakha Gupta ,  Alain Kagi ,  Philip Lantz ,  Subramanya Dulloor

Inventor： Vishakha Gupta ,  Alain Kagi ,  Philip Lantz ,  Subramanya Dulloor

IPC: G06F3/06

CPC classification number: G06F16/90 ,  G06F12/0871 ,  G06F12/0897 ,  G06F2212/163 ,  G06F2212/214 ,  G06F2212/466

Abstract: Managing connected data, such as a graph data store, includes a computing device with persistent memory and volatile memory. The computing device stores a graph data store with a plurality of nodes and edges in persistent memory. Each of the edges defines the relationship between at least two of the nodes. The nodes and edges may contain tags and properties containing additional information. In response to a search request query, the computing device generates an iterator object stored in volatile memory with a reference to one or more nodes and/or edges in the graph data store. The split between volatile and persistent memory allocation could be used for other objects, such as allocators and transactions. Other embodiments are described and claimed.

公开(公告)号：US20190043201A1

公开(公告)日：2019-02-07

申请号：US16142468

申请日：2018-09-26

Applicant: Christina R. Strong ,  Vishakha Gupta ,  Luis Carlos Maria Remis ,  Kushal Datta ,  Arun Raghunath

Inventor： Christina R. Strong ,  Vishakha Gupta ,  Luis Carlos Maria Remis ,  Kushal Datta ,  Arun Raghunath

IPC: G06T7/11 ,  G06K9/62

Abstract: In one embodiment, an apparatus comprises a storage device and a processor. The storage device stores a plurality of images captured by a camera. The processor: accesses visual data associated with an image captured by the camera; determines a tile size parameter for partitioning the visual data into a plurality of tiles; partitions the visual data into the plurality of tiles based on the tile size parameter, wherein the plurality of tiles corresponds to a plurality of regions within the image; compresses the plurality of tiles into a plurality of compressed tiles, wherein each tile is compressed independently; generates a tile-based representation of the image, wherein the tile-based representation comprises an array of the plurality of compressed tiles; and stores the tile-based representation of the image on the storage device.

公开(公告)号：US20110010721A1

公开(公告)日：2011-01-13

申请号：US12502074

申请日：2009-07-13

Applicant: Vishakha Gupta ,  Niraj Tolia ,  Vanish Talwar ,  Partha Ranganathan

Inventor： Vishakha Gupta ,  Niraj Tolia ,  Vanish Talwar ,  Partha Ranganathan

IPC: G06F9/46 ,  G06F9/455

CPC classification number: G06F9/5077 ,  G06F9/455

Abstract: A system and method is shown that includes an admission control module that resides in a management/driver domain, the admission control module to admit a domain that is part of a plurality of domains, into the computer system based upon one of a plurality of accelerators satisfying a resource request of the domain. The system and method also includes a load balancer module, which resides in the management/driver domain, the load balancer to balance at least one load from the plurality of domains across the plurality of accelerators. Further, the system and method also includes a scheduler module that resides in the management/driver domain, the scheduler to multiplex multiple requests from the plurality of domains to one of the plurality of accelerators.

Abstract translation: 示出了一种系统和方法，其包括驻留在管理/驱动器域中的准入控制模块，所述准入控制模块基于多个加速器中的一个加速器，所述准入控制模块将许可为多个域的一部分的域接纳到所述计算机系统中 满足域的资源请求。 系统和方法还包括位于管理/驱动器域中的负载平衡器模块，负载平衡器以平衡来自多个加速器中的多个域的至少一个负载。 此外，系统和方法还包括驻留在管理/驱动器域中的调度器模块，调度器将来自多个域的多个请求复用到多个加速器中的一个。

公开(公告)号：US20130336543A1

公开(公告)日：2013-12-19

申请号：US13527327

申请日：2012-06-19

Applicant: Steven M. Bennett ,  Scott Robinson ,  Vishakha Gupta

Inventor： Steven M. Bennett ,  Scott Robinson ,  Vishakha Gupta

IPC: G06K9/62

CPC classification number: G06K9/6267 ,  G06K9/00503 ,  G06K9/00677

Abstract: Embodiments of a system and method for automatic creation of a multimedia presentation or highlight collection from a collection of candidate contents are generally described herein. In some embodiments, each one of a plurality of videos or images in the candidate contents are automatically evaluated for quality, content, metadata, and desirability based on user specified inclusion factors. Inclusion factors may be utilized to generate one or more scores for the candidate contents, which provide for automatic ranking of the candidate contents. Based on scores generated from the selected inclusion factor criteria a highlight collection of images is automatically generated. The highlight collection can be included in a multimedia presentation, in the form of a memory book, slideshow, or digital narrative, and can be automatically generated from the plurality of videos or images.

Abstract translation: 这里一般地描述用于从候选内容的集合中自动创建多媒体呈现或突出显示集合的系统和方法的实施例。 在一些实施例中，候选内容中的多个视频或图像中的每一个基于用户指定的包含因素被自动地评估质量，内容，元数据和期望性。 可以使用包含因子来为候选内容生成一个或多个分数，其提供候选内容的自动排序。 基于从所选择的包含因子标准产生的分数，自动生成图像的亮度集合。 亮点集合可以以存储器书，幻灯片或数字叙述的形式包含在多媒体呈现中，并且可以从多个视频或图像中自动生成。

公开(公告)号：US08923570B2

公开(公告)日：2014-12-30

申请号：US13527327

申请日：2012-06-19

Applicant: Steven M. Bennett ,  Scott Robinson ,  Vishakha Gupta

Inventor： Steven M. Bennett ,  Scott Robinson ,  Vishakha Gupta

IPC: G06K9/00 ,  G06K9/62 ,  G06K9/54

CPC classification number: G06K9/6267 ,  G06K9/00503 ,  G06K9/00677

Abstract: Embodiments of a system and method for automatic creation of a multimedia presentation or highlight collection from a collection of candidate contents are generally described herein. In some embodiments, each one of a plurality of videos or images in the candidate contents are automatically evaluated for quality, content, metadata, and desirability based on user specified inclusion factors. Inclusion factors may be utilized to generate one or more scores for the candidate contents, which provide for automatic ranking of the candidate contents. Based on scores generated from the selected inclusion factor criteria a highlight collection of images is automatically generated. The highlight collection can be included in a multimedia presentation, in the form of a memory book, slideshow, or digital narrative, and can be automatically generated from the plurality of videos or images.

Abstract translation: 这里一般地描述用于从候选内容的集合中自动创建多媒体呈现或突出显示集合的系统和方法的实施例。 在一些实施例中，候选内容中的多个视频或图像中的每一个基于用户指定的包含因素被自动地评估质量，内容，元数据和期望性。 可以使用包含因子来为候选内容生成一个或多个分数，其提供候选内容的自动排序。 基于从所选择的包含因子标准产生的分数，自动生成图像的亮度集合。 亮点集合可以以存储器书，幻灯片或数字叙述的形式包含在多媒体呈现中，并且可以从多个视频或图像中自动生成。