Patents by Inventor Allan Rabbitt Enemark

Allan Rabbitt Enemark 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: 11693667
    Abstract: Systems and methods are provided for efficiently performing processing intensive operations, such as those involving large volumes of data, that enable accelerated processing time of these operations. In at least one embodiment, a system includes a graphics processor unit (GPU) including a memory and a plurality of cores. The plurality of cores perform a plurality of data analytics operations on a respectively allocated portion of a dataset, each of the plurality of cores using only the memory to store data input for each of the plurality of data analytics operations performed by the plurality of cores. The data storage for the plurality of data analytics operations performed by the plurality of cores is also provided solely by the memory.
    Type: Grant
    Filed: March 11, 2022
    Date of Patent: July 4, 2023
    Assignee: NVIDIA Corporation
    Inventors: Joshua Patterson, Leeann Chau Tuyet Dang, Keith Jason Kraus, Allan Rabbitt Enemark, Frank Joseph Eaton, Bradley Stuart Rees, Michael Evan Wendt, Mark Jason Harris
  • Publication number: 20220197664
    Abstract: Systems and methods are provided for efficiently performing processing intensive operations, such as those involving large volumes of data, that enable accelerated processing time of these operations. In at least one embodiment, a system includes a graphics processor unit (GPU) including a memory and a plurality of cores. The plurality of cores perform a plurality of data analytics operations on a respectively allocated portion of a dataset, each of the plurality of cores using only the memory to store data input for each of the plurality of data analytics operations performed by the plurality of cores. The data storage for the plurality of data analytics operations performed by the plurality of cores is also provided solely by the memory.
    Type: Application
    Filed: March 11, 2022
    Publication date: June 23, 2022
    Inventors: Joshua Patterson, Leeann Chau Tuyet Dang, Keith Jason Kraus, Allan Rabbitt Enemark, Frank Joseph Eaton, Bradley Stuart Rees, Michael Evan Wendt, Mark Jason Harris
  • Patent number: 11307863
    Abstract: Systems and methods are provided for efficiently performing processing intensive operations, such as those involving large volumes of data, that enable accelerated processing time of these operations. In at least one embodiment, a system includes a graphics processor unit (GPU) including a memory and a plurality of cores. The plurality of cores perform a plurality of data analytics operations on a respectively allocated portion of a dataset, each of the plurality of cores using only the memory to store data input for each of the plurality of data analytics operations performed by the plurality of cores. The data storage for the plurality of data analytics operations performed by the plurality of cores is also provided solely by the memory.
    Type: Grant
    Filed: October 8, 2019
    Date of Patent: April 19, 2022
    Assignee: NVIDIA Corporation
    Inventors: Joshua Patterson, Leeann Chau Tuyet Dang, Keith Jason Kraus, Allan Rabbitt Enemark, Frank Joseph Eaton, Bradley Stuart Rees, Michael Evan Wendt, Mark Jason Harris