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    Sparse vectorization without hardware gather / scatter
    11.
    发明申请
    Sparse vectorization without hardware gather / scatter 失效
    稀疏矢量化无硬件收集/散射

    公开(公告)号：US20080092125A1

    公开(公告)日：2008-04-17

    申请号：US11549172

    申请日：2006-10-13

    Applicant: Roch Georges Archambault ,  George Chochia ,  Peng Zhao

    Inventor： Roch Georges Archambault ,  George Chochia ,  Peng Zhao

    IPC: G06F9/45

    CPC classification number: G06F8/447

    Abstract: A target operation in a normalized target loop, susceptible of vectorization and which may, after compilation into a vectorized form, seek to operate on data in nonconsecutive physical memory, is identified in source code. Hardware instructions are inserted into executable code generated from the source code, directing a system that will run the executable code to create a representation of the data in consecutive physical memory. A vector loop containing the target operation is replaced, in the executable code, with a function call to a vector library to call a vector function that will operate on the representation to generate a result identical to output expected from executing the vector loop containing the target operation. On execution, a representation of data residing in nonconsecutive physical memory is created in consecutive physical memory, and the vectorized target operation is applied to the representation to process the data.

    Abstract translation: 标准化目标循环中的目标操作，易于向量化，并且可以在编译成向量化形式之后寻求对非连续物理存储器中的数据进行操作，在源代码中被识别。 硬件指令被插入到从源代码生成的可执行代码中，指示将运行可执行代码的系统在连续的物理内存中创建数据的表示。 包含目标操作的向量循环在可执行代码中被替换为对向量库的函数调用，以调用将在表示上操作的向量函数，以生成与执行包含目标的向量循环所期望的输出相同的结果 操作。 在执行时，在连续物理存储器中创建驻留在非连续物理存储器中的数据的表示，并且向量化的目标操作被应用于表示以处理数据。

    Workflow modeling using an acyclic directed graph data structure
    13.
    发明申请
    Workflow modeling using an acyclic directed graph data structure 有权
    使用非循环有向图数据结构的工作流建模

    公开(公告)号：US20050192783A1

    公开(公告)日：2005-09-01

    申请号：US11120588

    申请日：2005-05-03

    Applicant: Garr Lystad ,  Peng Zhao

    Inventor： Garr Lystad ,  Peng Zhao

    IPC: G06Q10/00 ,  H04J3/14

    CPC classification number: G06Q10/0633 ,  G06Q10/06312 ,  G06Q10/10

    Abstract: A process for modeling at least a portion of a workflow includes accessing a computer data structure to represent an acyclic directed graph (10) including multiple nodes (12) and one or more edges (14), each edge (14) linking two adjacent nodes (12). The value of a function at a selected node (12) is requested, the value of the function at the selected node (12) depending on values of the function at one or more adjacent nodes (12) lying in a first direction from the selected node (12). If a cached value of the function at the selected node (12) is not assured to be valid, then the value of the function at the selected node (12) is recomputed based on the values of the function at the one or more adjacent nodes (12) and then returned. If the cached value is assured to be valid, then the cached value is returned without recomputing the value of the function at the selected node (12).

    Abstract translation: 用于建模工作流的至少一部分的过程包括访问计算机数据结构以表示包括多个节点（12）和一个或多个边缘（14）的非循环有向图（10），每个边缘（14）链接两个相邻节点 （12）。 请求在所选节点（12）处的函数的值，取决于所选节点（12）处的功能的值，其取决于位于与所选择的节点（12）的第一方向上的一个或多个相邻节点（12）处的功能的值 节点（12）。 如果在所选择的节点（12）处的功能的缓存值不被确定为有效，则基于在一个或多个相邻节点处的函数的值来重新计算所选节点（12）处的功能的值 （12）然后返回。 如果缓存值被确定为有效，则返回缓存的值，而不重新计算所选节点（12）处的函数值。

    Analyze and reduce number of data reordering operations in SIMD code
    16.
    发明授权
    Analyze and reduce number of data reordering operations in SIMD code 有权
    分析和减少SIMD代码中数据重排序的数量

    公开(公告)号：US08954943B2

    公开(公告)日：2015-02-10

    申请号：US11340452

    申请日：2006-01-26

    Applicant: Alexandre E. Eichenberger ,  Kai-Ting Amy Wang ,  Peng Wu ,  Peng Zhao

    Inventor： Alexandre E. Eichenberger ,  Kai-Ting Amy Wang ,  Peng Wu ,  Peng Zhao

    IPC: G06F9/45 ,  G06F15/00 ,  G06F15/76

    CPC classification number: G06F8/443

    Abstract: A method for analyzing data reordering operations in Single Issue Multiple Data source code and generating executable code therefrom is provided. Input is received. One or more data reordering operations in the input are identified and each data reordering operation in the input is abstracted into a corresponding virtual shuffle operation so that each virtual shuffle operation forms part of an expression tree. One or more virtual shuffle trees are collapsed by combining virtual shuffle operations within at least one of the one or more virtual shuffle trees to form one or more combined virtual shuffle operations, wherein each virtual shuffle tree is a subtree of the expression tree that only contains virtual shuffle operations. Then code is generated for the one or more combined virtual shuffle operations.

    Abstract translation: 提供了一种用于分析单发多数据源代码中的数据重排序操作并从中生成可执行代码的方法。 收到输入。 识别输入中的一个或多个数据重排序操作，并将输入中的每个数据重排序操作抽象为相应的虚拟随机播放操作，使得每个虚拟随机播放操作形成表达式树的一部分。 通过将所述一个或多个虚拟随机播放树中的至少一个中的虚拟随机播放操作组合以形成一个或多个组合的虚拟随机播放操作来折叠一个或多个虚拟洗牌树，其中每个虚拟随机播放树是仅包含表达式树的子树 虚拟随机操作。 然后为一个或多个组合的虚拟随机操作生成代码。

    Generating three-dimensional models from images
    17.
    发明授权
    Generating three-dimensional models from images 有权
    从图像生成三维模型

    公开(公告)号：US08798965B2

    公开(公告)日：2014-08-05

    申请号：US13148173

    申请日：2010-02-03

    Applicant: Long Quan ,  Jianxiong Xiao ,  Tian Fang ,  Peng Zhao

    Inventor： Long Quan ,  Jianxiong Xiao ,  Tian Fang ,  Peng Zhao

    IPC: G06F17/50 ,  G06T15/00 ,  G06K9/00 ,  G06K9/34

    CPC classification number: G06T17/05 ,  G06T7/174 ,  G06T7/579 ,  G06T2207/10016

    Abstract: The subject disclosure relates to generating models from images. In an aspect, multi-view semantic segmentation is provided to recognize and segment images at the pixel level into semantically meaningful areas, and which can provide labels with a specific object class. In further aspects, a partition scheme is provided that can separate objects into independent blocks using major line structures of a scene. In addition, an inverse patch-based orthographic composition and structure analysis on a block is provided that can regularize noisy and missing reconstructed 3D data to facilitate image-based modeling.

    Abstract translation: 本公开涉及从图像生成模型。 在一方面，提供多视图语义分割以识别和将像素级别的图像分割成语义有意义的区域，并且其可以向特定对象类别提供标签。 在另外的方面，提供了一种可以使用场景的主线结构将对象分离为独立块的分区方案。 此外，还提供了一个块的基于逆贴片的正交组合和结构分析，可以使噪声和缺失重建的3D数据规范化，以促进基于图像的建模。

    Method, system and entity of realizing event detection
    18.
    发明授权
    Method, system and entity of realizing event detection 有权
    实现事件检测的方法，系统和实体

    公开(公告)号：US08509091B2

    公开(公告)日：2013-08-13

    申请号：US12582511

    申请日：2009-10-20

    Applicant: Shiyong Tan ,  Yan Li ,  Weihua Wei ,  Shibi Huang ,  Peng Zhao ,  Yuxin Mao

    Inventor： Shiyong Tan ,  Yan Li ,  Weihua Wei ,  Shibi Huang ,  Peng Zhao ,  Yuxin Mao

    IPC: G01R31/08

    CPC classification number: H04L69/16 ,  H04L12/14 ,  H04L12/1403 ,  H04L65/1016 ,  H04L69/168

    Abstract: A method and a system of realizing event detection are provided, which detect a status of an Internet Protocol (IP) connectivity access network (IP-CAN) bearer corresponding to a policy and charging control (PCC) rule by binding an Event-Trigger parameter to the PCC rule, thereby realizing small-granularity detection for the specific PCC rule and reducing the load of the system. Furthermore, a status of the IP-CAN bearer or an IP flow is realized by binding the Event-Trigger parameter to an IP-CAN identifier (ID) or an IP flow ID, so as to avoid the problem about too large granularity of the binding of event detection and IP-CAN session and reduce the burden of the IP-CAN bearer detection and message exchange.

    Abstract translation: 提供了一种实现事件检测的方法和系统，其通过绑定事件触发参数来检测与策略和计费控制（PCC）规则相对应的因特网协议（IP）连接接入网络（IP）连接接入网络（IP-CAN）承载的状态 到PCC规则，从而实现特定PCC规则的小粒度检测，减少系统负载。 此外，通过将事件触发器参数绑定到IP-CAN标识符（ID）或IP流ID来实现IP-CAN承载或IP流的状态，以避免关于 绑定事件检测和IP-CAN会话，减轻IP-CAN承载检测和消息交换的负担。

    ARCHITECTURAL PATTERN DETECTION AND MODELING IN IMAGES
    19.
    发明申请
    ARCHITECTURAL PATTERN DETECTION AND MODELING IN IMAGES 有权
    图像中的建筑图案检测和建模

    公开(公告)号：US20130011069A1

    公开(公告)日：2013-01-10

    申请号：US13575868

    申请日：2011-01-27

    Applicant: Long Quan ,  Peng Zhao

    Inventor： Long Quan ,  Peng Zhao

    IPC: G06K9/62 ,  G06K9/46

    CPC classification number: G06F17/30247 ,  G06K9/00704

    Abstract: Systems and methods are provided to facilitate architectural modeling. In one aspect, repetitive patterns are automatically detected and analyzed to generate modeled structural images such as building facades. In another aspect, structural symmetry is analyzed to facilitate architectural modeling and enhanced image generation.

    Abstract translation: 提供系统和方法以便于架构建模。 在一个方面，自动检测和分析重复图案以产生建模立面等建模结构图像。 在另一方面，分析结构对称性以便于建筑建模和增强的图像生成。

    GENERATING THREE-DIMENSIONAL MODELS FROM IMAGES
    20.
    发明申请
    GENERATING THREE-DIMENSIONAL MODELS FROM IMAGES 有权
    从图像生成三维模型

    公开(公告)号：US20120041722A1

    公开(公告)日：2012-02-16

    申请号：US13148173

    申请日：2010-02-03

    Applicant: Long Quan ,  Jianxiong Xiao ,  Tian Fang ,  Peng Zhao

    Inventor： Long Quan ,  Jianxiong Xiao ,  Tian Fang ,  Peng Zhao

    IPC: G06F17/50

    CPC classification number: G06T17/05 ,  G06T7/174 ,  G06T7/579 ,  G06T2207/10016

    Abstract: The subject disclosure relates to generating models from images. In an aspect, multi-view semantic segmentation is provided to recognize and segment images at the pixel level into semantically meaningful areas, and which can provide labels with a specific object class. In further aspects, a partition scheme is provided that can separate objects into independent blocks using major line structures of a scene. In addition, an inverse patch-based orthographic composition and structure analysis on a block is provided that can regularize noisy and missing reconstructed 3D data to facilitate image-based modeling.

    Abstract translation: 本公开涉及从图像生成模型。 在一方面，提供多视图语义分割以识别和将像素级别的图像分割成语义有意义的区域，并且其可以向特定对象类别提供标签。 在另外的方面，提供了一种可以使用场景的主线结构将对象分离为独立块的分区方案。 此外，还提供了一个块的基于逆贴片的正交组合和结构分析，可以使噪声和缺失重建的3D数据规范化，以促进基于图像的建模。

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