Patents by Inventor Michael Rotzn

Michael Rotzn 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).

  • Publication number: 20190042094
    Abstract: An apparatus and method for a converting tensor data. For example, one embodiment of a method comprises: fetching source tensor blocks of a source tensor data structure, each source tensor block comprising a plurality of source tensor data elements having a first numeric representation, wherein the source tensor data structure comprises a predefined structural arrangement of source tensor blocks; converting the one or more source tensor blocks into one or more destination tensor blocks comprising a plurality of destination tensor data elements having a second numeric representation different from the first numeric representation, wherein the sets of one or more source tensor blocks are converted to one or more corresponding destination tensor blocks in a specified order based on the first and second numeric representations; and storing each individual destination tensor block in a designated memory region to maintain coherency with the predefined structural arrangement of the source tensor blocks.
    Type: Application
    Filed: June 30, 2018
    Publication date: February 7, 2019
    Inventors: Krishnakumar Nair, Andrew Yang, Michael Rotzn, Nitin Garegrat, Tom Schebye, Tony Werner