Patents by Inventor Kari Sortland

Kari Sortland 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).

  • Datastore mechanism for managing out-of-memory data
    Patent number: 11169993
    Abstract: According to some embodiments, a method for making input data available for processing by one or more processors comprises storing one or more parameters, wherein the one or more parameters comprise information identifying a location of the input data; and creating a datastore object using the one or more parameters, wherein the datastore object interfaces the input data and includes a read method for reading a chunk, the chunk being a subset of the input data, and having a size that does not exceed a memory size assigned to the one or more processors. According to some embodiments, the one or more parameters further comprise one or more of a type of the input data; a format of the input data; an offset for reading from the input data; a size of the chunk; a condition for determining the chunk; and a query for deriving the input data.
    Type: Grant
    Filed: August 13, 2014
    Date of Patent: November 9, 2021
    Assignee: The MathWorks, Inc.
    Inventors: Penelope Anderson, Richard Amos, Yashwanth Annapureddy, Nicholas Haddad, Aaditya Kalsi, Thomas Lane, Jocelyn Martin, Michael Procopio, Anandan Rangasamy, James Stewart, Wei Wang, Kari Sortland
  • DATASTORE MECHANISM FOR MANAGING OUT-OF-MEMORY DATA
    Publication number: 20150356138
    Abstract: According to some embodiments, a method for making input data available for processing by one or more processors comprises storing one or more parameters, wherein the one or more parameters comprise information identifying a location of the input data; and creating a datastore object using the one or more parameters, wherein the datastore object interfaces the input data and includes a read method for reading a chunk, the chunk being a subset of the input data, and having a size that does not exceed a memory size assigned to the one or more processors. According to some embodiments, the one or more parameters further comprise one or more of a type of the input data; a format of the input data; an offset for reading from the input data; a size of the chunk; a condition for determining the chunk; and a query for deriving the input data.
    Type: Application
    Filed: August 13, 2014
    Publication date: December 10, 2015
    Applicant: The MathWorks, Inc.
    Inventors: Penelope Anderson, Richard Amos, Yashwanth Annapureddy, Nicholas Haddad, Aaditya Kalsi, Thomas Lane, Jocelyn Martin, Michael Procopio, Anandan Rangasamy, James Stewart, Wei Wang, Kari Sortland