Profile-driven data layout optimization
    1.
    发明授权
    Profile-driven data layout optimization 有权
    配置文件驱动的数据布局优化

    公开(公告)号:US07496909B2

    公开(公告)日:2009-02-24

    申请号:US11069232

    申请日:2005-02-28

    IPC分类号: G06F9/45 G06F12/00

    摘要: Data layout optimization arranges data members within memory to enhance software performance. Profiling data is consulted to determine how to group data members for an object class into groups. One technique groups the data members based on how frequently the data members are referenced in memory. Another technique groups the data members based on their affinities for one another in time as determined by observing when references to the data members take place. A variety of options when collecting the profiling data and grouping the data members is supported. The data member grouping is recorded in metadata associated with a definition of the object class. At runtime, a class loader places the data members of an object in memory according to the metadata. Data members of different groups can be placed in separately-loadable units of memory in the memory system. Subsequently, when the data members are referenced in memory, more frequently referenced data members, including those that tend to be referenced at times close to each other, reside at neighboring locations in the memory system.

    摘要翻译: 数据布局优化将数据成员安排在内存中以增强软件性能。 查询分析数据以确定如何将对象类的数据成员分组。 一种技术根据数据成员在内存中引用的频率来对数据成员进行分组。 另一种方法是根据数据成员的相关性在时间上对数据成员进行分组,通过观察对数据成员的引用进行确定。 支持收集分析数据和分组数据成员时的各种选项。 数据成员分组被记录在与对象类的定义相关联的元数据中。 在运行时,类加载器根据元数据将对象的数据成员放置在内存中。 不同组的数据成员可以被放置在存储器系统中的可分离的存储单元中。 随后,当在存储器中引用数据成员时,更频繁地引用的数据成员(包括倾向于在彼此接近的时间被引用的数据成员)驻留在存储器系统中的相邻位置处。

    Profile-driven data layout optimization

    公开(公告)号:US07013459B2

    公开(公告)日:2006-03-14

    申请号:US10987408

    申请日:2004-11-12

    IPC分类号: G06F9/45 G06F12/00

    摘要: Data layout optimization arranges data members within memory to enhance software performance. Profiling data is consulted to determine how to group data members for an object class into groups. One technique groups the data members based on how frequently the data members are referenced in memory. Another technique groups the data members based on their affinities for one another in time as determined by observing when references to the data members take place. A variety of options when collecting the profiling data and grouping the data members is supported. The data member grouping is recorded in metadata associated with a definition of the object class. At runtime, a class loader places the data members of an object in memory according to the metadata. Data members of different groups can be placed in separately-loadable units of memory in the memory system. Subsequently, when the data members are referenced in memory, more frequently referenced data members, including those that tend to be referenced at times close to each other, reside at neighboring locations in the memory system.

    Profile-driven data layout optimization

    公开(公告)号:US06862729B1

    公开(公告)日:2005-03-01

    申请号:US09542525

    申请日:2000-04-04

    摘要: Data layout optimization arranges data members within memory to enhance software performance. Profiling data is consulted to determine how to group data members for an object class into groups. One technique groups the data members based on how frequently the data members are referenced in memory. Another technique groups the data members based on their affinities for one another in time as determined by observing when references to the data members take place. A variety of options when collecting the profiling data and grouping the data members is supported. The data member grouping is recorded in metadata associated with a definition of the object class. At runtime, a class loader places the data members of an object in memory according to the metadata. Data members of different groups can be placed in separately-loadable units of memory in the memory system. Subsequently, when the data members are referenced in memory, more frequently referenced data members, including those that tend to be referenced at times close to each other, reside at neighboring locations in the memory system.

    TOUCH MODES
    4.
    发明申请
    TOUCH MODES 有权
    触摸模式

    公开(公告)号:US20130335337A1

    公开(公告)日:2013-12-19

    申请号:US13523156

    申请日:2012-06-14

    IPC分类号: G06F3/041

    CPC分类号: G06F3/0488 G06F3/03547

    摘要: Touch modes are described. In one or more implementations, a first mode of interaction is supported with a user interface displayed by a display device of a computing device having touchscreen functionality, the first mode usable to interact directly with a user interface using the touchscreen functionality. A second mode of interaction is supported with the user interface displayed by the display device of the computing device, the second mode usable to control a cursor using the touchscreen functionality to interact with the user interface.

    摘要翻译: 描述触摸模式。 在一个或多个实现中,由具有触摸屏功能的计算设备的显示设备显示的用户界面支持第一交互模式,所述第一模式可用于使用触摸屏功能直接与用户界面交互。 由计算设备的显示设备显示的用户界面支持第二交互模式,第二模式可用于使用触摸屏功能来控制光标以与用户界面交互。

    Implicit iteration of keyed array symbol
    6.
    发明授权
    Implicit iteration of keyed array symbol 有权
    键控数组符号的隐式迭代

    公开(公告)号:US08453114B2

    公开(公告)日:2013-05-28

    申请号:US12344216

    申请日:2008-12-24

    IPC分类号: G06F9/44

    摘要: The use of a data structure that is a symbolic representation of a keyed array that has an array variable and an associated key variable. There is a correlation maintained between the variable type of the array variable and the corresponding keying set that is to be bound to the associated key variable. The keyed array may remain unbound thereby being simply symbolically represented, or the keying set may be bound to the key variable more immediately. In one embodiment, once the keying set is bound to the key variable, data may be bound to the array variable itself. This may be repeated for multiple keyed arrays. The data from multiple keyed arrays may be operated upon to about another array of values, which may then be aggregated in some way.

    摘要翻译: 使用数据结构,它是具有数组变量和关联键变量的键控数组的符号表示。 在数组变量的变量类型和要绑定到关联的键变量的对应的键集之间存在相关性。 键控阵列可以保持未绑定,从而被简单地象征性地表示,或者密钥集可以更加紧密地绑定到密钥变量。 在一个实施例中,一旦密钥集合被绑定到密钥变量,数据可以被绑定到数组变量本身。 对于多个键控阵列可能会重复。 来自多个键控阵列的数据可以被操作在大约另一数值阵列上,然后可以以某种方式聚合。

    MOBILE DEVICE AS A LOCAL SERVER
    7.
    发明申请
    MOBILE DEVICE AS A LOCAL SERVER 审中-公开
    移动设备作为本地服务器

    公开(公告)号:US20130091197A1

    公开(公告)日:2013-04-11

    申请号:US13334065

    申请日:2011-12-22

    IPC分类号: G06F15/16

    摘要: Architecture that embeds a server (a local server) inside a mobile device operating system (OS) close to the data (but under the OS services) such that the server has access to native capabilities, and offers an Internet-like frontend with which a browser or application can communicate. The local server appears as a web server, and small programs can be pushed into the local server from the browser or a remote server such that the local server can be made to perform work more effectively. Local and remote events can be triggered such as launching a browser (or other application(s)), initiating remote server calls, triggering battery save mode, locking the phone, etc. The local server can run a script execution environment such as node.js, an event driven I/O model where callbacks are invoked to handle emergent conditions (e.g., explicit requests, state changes, etc.).

    摘要翻译: 将服务器(本地服务器)嵌入到靠近数据(但在OS服务下)的移动设备操作系统(OS)内的架构,以便服务器可以访问本地功能,并提供类似Internet的前端, 浏览器或应用程序可以进行通信。 本地服务器显示为Web服务器,小型程序可以从浏览器或远程服务器推送到本地服务器,从而可以使本地服务器更有效地执行工作。 可以触发本地和远程事件,例如启动浏览器(或其他应用程序),启动远程服务器呼叫,触发电池保存模式,锁定手机等。本地服务器可以运行脚本执行环境(如节点)。 js是一种事件驱动的I / O模型,其中调用回调来处理紧急情况(例如,显式请求,状态更改等)。

    Dependency graph in data-driven model
    8.
    发明授权
    Dependency graph in data-driven model 有权
    数据驱动模型中的依赖图

    公开(公告)号:US08352397B2

    公开(公告)日:2013-01-08

    申请号:US12557297

    申请日:2009-09-10

    IPC分类号: G06F17/00

    CPC分类号: G06N99/005

    摘要: The inference of a dependency graph that represents a graph of solves that leads from input model parameter(s) to output model parameters using analytics. In one embodiment, the dependency graph is part of visually driven analytics in which the output model parameter(s) are used to formulate data-drive scenes. As the identity of the input and/or output model parameter(s) change, or as the analytics themselves change, the dependency graph may also change. This might trigger a resolve of the analytics. In one embodiment, the intermediate parameters involved in the dependency graph may be viewed and evaluated by the user.

    摘要翻译: 依赖图的推论,其表示从输入模型参数引导到使用分析输出模型参数的解的图。 在一个实施例中,依赖图是视觉驱动分析的一部分,其中使用输出模型参数来制定数据驱动场景。 随着输入和/或输出模型参数的身份变化,或随着分析本身的变化,依赖图也可能发生变化。 这可能会引发分析的解决。 在一个实施例中,可以由用户查看和评估参与依赖图的中间参数。

    Implied analytical reasoning and computation
    9.
    发明授权
    Implied analytical reasoning and computation 有权
    隐含的分析推理和计算

    公开(公告)号:US08314793B2

    公开(公告)日:2012-11-20

    申请号:US12344215

    申请日:2008-12-24

    IPC分类号: G06T17/00

    CPC分类号: G06T11/206 G06T19/00

    摘要: Solving for output variable(s) of a model that includes multiple analytically related model variables. The identity of the output model variables and the analytical relationships between the model variables are separately designated. Regardless of the identity of the output variable(s), a solver framework interprets the analytical relationships and solves for the designated output variable(s). The output model variable(s) may be designated separately than the analytical relationships themselves. By simply changing the designation of the output model variable(s), the analytical relationships are reevaluated, and the output variable(s) are solved for. The solver framework itself stays the same regardless of the identity of the output model variable(s).

    摘要翻译: 求解包含多个分析相关模型变量的模型的输出变量。 分别指定输出模型变量的身份和模型变量之间的分析关系。 无论输出变量的身份如何,求解器框架解释分析关系并解决指定的输出变量。 输出模型变量可以与分析关系本身分开指定。 通过简单地改变输出模型变量的指定,重新评估分析关系,并解决输出变量。 无论输出模型变量的身份如何,求解器框架本身都保持不变。

    ADAPTIVE DISTRIBUTION OF THE PROCESSING OF HIGHLY INTERACTIVE APPLICATIONS
    10.
    发明申请
    ADAPTIVE DISTRIBUTION OF THE PROCESSING OF HIGHLY INTERACTIVE APPLICATIONS 审中-公开
    高度互动应用程序的自适应分配

    公开(公告)号:US20110246549A1

    公开(公告)日:2011-10-06

    申请号:US12752961

    申请日:2010-04-01

    IPC分类号: G06F15/16

    CPC分类号: G06F9/505

    摘要: An application defined by expressions whose execution may be dynamically distributed over multiple devices. An application defined by expressions may include a number of expressions that provide a symbolic representation of computations to be performed. The application defined by expressions may have input variables and output variables and provide a solution for the output variables using the input variables and the expressions that define the application. In providing a solution for the output variables, an expression engine may determine dependencies for the expressions to be solved and distribute the solution of some of those expressions dynamically at runtime to other devices based on the capabilities of the devices, privacy and security concerns, communications bandwidth and latency, the resources available to devices, and commercial or cost implications of where the processing is done.

    摘要翻译: 由表达式定义的应用程序,其执行可以在多个设备上动态分布。 由表达式定义的应用可以包括提供要执行的计算的符号表示的多个表达式。 由表达式定义的应用程序可能具有输入变量和输出变量,并使用输入变量和定义应用程序的表达式为输出变量提供解决方案。 在为输出变量提供解决方案时,表达式引擎可以确定要解决的表达式的依赖性,并且基于设备的能力,隐私和安全性关注,通信,将运行时动态地将某些表达式的解释分布到其他设备 带宽和延迟,设备可用的资源以及处理完成的商业或成本影响。