Patents by Inventor ZhangZhang Song

ZhangZhang Song has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 8095767
    Abstract: Techniques for providing arbitrary precision floating number (APFN) processing are disclosed. In some aspects, an APFN store may be used to store a large number (i.e., an APFN) having many significant digits, which in turn may enable a high degree of precision in mathematical operations. An APFN module may be used to create and define the APFN store. The APFN module may enable a user to define a precision (significant digits) for the large number that corresponds to the size of an array of bytes in the APFN store that are allocated for storing the large number. In further aspects, the APFN store may be used to store additional intermediary data and a resultant.
    Type: Grant
    Filed: December 30, 2008
    Date of Patent: January 10, 2012
    Assignee: Microsoft Corporation
    Inventors: Xu Yang, Hao Wei, Gong Cheng, ZhangZhang Song, Dongmei Zhang, Jian Wang
  • Publication number: 20100169605
    Abstract: Techniques for providing arbitrary precision floating number (APFN) processing are disclosed. In some aspects, an APFN store may be used to store a large number (i.e., an APFN) having many significant digits, which in turn may enable a high degree of precision in mathematical operations. An APFN module may be used to create and define the APFN store. The APFN module may enable a user to define a precision (significant digits) for the large number that corresponds to the size of an array of bytes in the APFN store that are allocated for storing the large number. In further aspects, the APFN store may be used to store additional intermediary data and a resultant.
    Type: Application
    Filed: December 30, 2008
    Publication date: July 1, 2010
    Applicant: Microsoft Corporation
    Inventors: Xu Yang, Hao Wei, Gong Cheng, ZhangZhang Song, Dongmei Zhang, Jian Wang