METHOD AND APPARATUS TO MIGRATE STACKS FOR THREAD EXECUTION
    1.
    发明申请
    METHOD AND APPARATUS TO MIGRATE STACKS FOR THREAD EXECUTION 审中-公开
    用于螺旋执行的转移堆叠的方法和装置

    公开(公告)号:US20150363241A1

    公开(公告)日:2015-12-17

    申请号:US14836937

    申请日:2015-08-26

    Applicant: Apple Inc.

    CPC classification number: G06F9/5088 G06F9/461 G06F9/544 G06F9/547

    Abstract: A method and an apparatus that generate a request from a first thread of a process using a first stack for a second thread of the process to execute a code are described. Based on the request, the second thread executes the code using the first stack. Subsequent to the execution of the code, the first thread receives a return of the request using the first stack.

    Abstract translation: 描述了一种方法和装置,其从用于执行代码的处理的第二线程的第一堆栈的进程的第一线程生成请求。 根据请求,第二个线程使用第一个堆栈执行代码。 在执行代码之后,第一个线程使用第一个堆栈接收请求的返回。

    PREDICTIVE TEXT INPUT
    2.
    发明申请
    PREDICTIVE TEXT INPUT 有权
    预测文字输入

    公开(公告)号:US20150347382A1

    公开(公告)日:2015-12-03

    申请号:US14720655

    申请日:2015-05-22

    Applicant: Apple Inc.

    CPC classification number: G06F17/276 G06F17/277

    Abstract: Systems and processes for predictive text input are provided. In one example process, a text input can be received. The text input can be associated with an input context. A frequency of occurrence of an m-gram with respect to a subset of a corpus can be determined using a language model. The subset can be associated with a context. A weighting factor can be determined based on a degree of similarity between the input context and the context. A weighted probability of a predicted text given the text input can be determined based on the frequency of occurrence of the m-gram and the weighting factor. The m-gram can include at least one word in the text input and at least one word in the predicted text.

    Abstract translation: 提供了预测文本输入的系统和过程。 在一个示例过程中,可以接收文本输入。 文本输入可以与输入上下文相关联。 可以使用语言模型来确定相对于语料库子集的出现频率。 子集可以与上下文相关联。 可以基于输入上下文和上下文之间的相似度来确定加权因子。 给出文本输入的预测文本的加权概率可以基于m-gram的出现频率和加权因子来确定。 文字可以包括文本输入中的至少一个单词和预测文本中的至少一个单词。

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