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    • 2. 发明申请
    • Content Related Viewer Voting Apparatus, Method and System
    • 内容相关查看器投票设备,方法和系统
    • US20130174055A1
    • 2013-07-04
    • US13339546
    • 2011-12-29
    • Erik J. JohnsonJason B. Randell
    • Erik J. JohnsonJason B. Randell
    • G06F3/01
    • H04N21/4758G06Q30/0278H04N21/4784H04N21/4788
    • The disclosed CONTENT RELATED VIEWER VOTING APPARATUSES, METHODS AND SYSTEMS (“CRVV”) transform requests for votes in displayed consumable media via CRVV components into rewards for voter recruiting through social networking. In one embodiment, a computer-implemented method includes: receiving a request to vote in a content-related electronic voting opportunity from a user; providing, a voting opportunity page having at least one voting question and an expiration time; recording a content-related vote; providing a single-click opportunity to share the content-related vote and the voting opportunity via a social network; generating a social vote post message; receiving a vote from a peer of the user who accessed the social vote post message; and correlating the vote of the peer with the recorded content-related vote, to create a recruited vote total attributable to the user for each voting question.
    • 所披露的内容相关观众投票设备,方法和系统(“CRVV”)通过CRVV组件将显示的消费者媒体投票请求转化为通过社交网络进行选民招募的奖励。 在一个实施例中,计算机实现的方法包括:从用户接收与内容有关的电子投票机会中投票的请求; 提供具有至少一个投票问题和到期时间的投票机会页面; 录制内容相关投票; 提供通过社交网络分享内容相关投票和投票机会的单击机会; 产生社会投票讯息; 接收访问社交投票帖子的用户的同侪投票; 并将同行的投票与记录的与内容有关的投票相关联,以便为每个投票问题创建一个归因于用户的征集投票。
    • 6. 发明授权
    • Framework for domain-specific run-time environment acceleration using virtualization technology
    • 使用虚拟化技术的域特定运行时环境加速框架
    • US08042109B2
    • 2011-10-18
    • US11386989
    • 2006-03-21
    • Erik J. JohnsonAaron R. Kunze
    • Erik J. JohnsonAaron R. Kunze
    • G06F9/455G06F9/46
    • G06F9/45533G06F9/4843
    • In some embodiments, the invention involves a framework for using virtualization technology to efficiently support a domain-specific run-time environment. In at least one embodiment, a framework is utilized to take advantage of virtualization technology (VT) to partition performance critical and non-performance critical tasks of the same domain-specific application. An embodiment of the invention utilizes a general-purpose operating system to execute non-performance critical aspects of a domain, and uses a privileged VT-root mode to execute performance critical aspects of the domain. Another embodiment uses one or more guest VMs to execute the performance critical aspects of the domain-specific run-time environment. Other embodiments are described and claimed.
    • 在一些实施例中,本发明涉及使用虚拟化技术来有效地支持域特定的运行时环境的框架。 在至少一个实施例中,利用框架来利用虚拟化技术(VT)来划分相同领域特定应用的性能关键和非性能关键任务。 本发明的实施例利用通用操作系统来执行域的非性能关键方面,并且使用特权的VT根模式来执行域的性能关键方面。 另一个实施例使用一个或多个来宾虚拟机来执行域特定运行时环境的性能关键方面。 描述和要求保护其他实施例。
    • 8. 发明授权
    • Generating executable code based on code performance data
    • 根据代码性能数据生成可执行代码
    • US07730459B2
    • 2010-06-01
    • US10676311
    • 2003-09-30
    • Frank G. GatesJames L. JasonErik J. Johnson
    • Frank G. GatesJames L. JasonErik J. Johnson
    • G06F9/44
    • G06F8/443
    • A compiler transforms source code into intermediate code and provides the intermediate code to a profiler. The profiler executes the intermediate code. The profiler generates a performance profile that indicates the performance of the intermediate code, and annotates the intermediate code based, at least in part, on data from the performance profile. The compiler receives annotated intermediate code from the profiler and transforms the annotated intermediate code into machine code. Alternatively, the compiler transforms intermediate code to machine code and provides the machine code to a profiler. The profiler executes the machine code and generates a data file that indicates the performance of the machine code. The compiler receives the data file, and modifies the machine code based on the data file.
    • 编译器将源代码转换为中间代码,并将中间代码提供给分析器。 分析器执行中间代码。 分析器生成指示中间代码的性能的性能配置文件,并且至少部分地基于来自性能配置文件的数据来注释中间代码。 编译器从分析器接收注释中间代码,并将注释中间代码转换为机器代码。 或者,编译器将中间代码转换为机器代码,并将机器代码提供给分析器。 分析器执行机器代码并生成指示机器代码性能的数据文件。 编译器接收数据文件,并根据数据文件修改机器代码。