Patents by Inventor Paul Kenton

Paul Kenton 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: 11275712
    Abstract: In an embodiment, a method for processing data in a single instruction multiple data (SIMD) computer architecture is provided. A processing element (PE) may determine based on a masking instruction, a predication state indicative of one of a conditional predication mode and an absolute predication mode. The PE may receive a predicated instruction and, based on a value of a head bit of the bits of a predication mask and on the value indicative of the predication state whether to commit a computation corresponding to execution of the predicated instruction. In another embodiment, a SIMD controller stores loops and sections of a program as a separate instruction stream record for generating the memory address of the next instruction. For data streams, the SIMD controller records information for each data memory access that references the same register files that are used by the instruction streams.
    Type: Grant
    Filed: August 20, 2020
    Date of Patent: March 15, 2022
    Assignee: NORTHROP GRUMMAN SYSTEMS CORPORATION
    Inventors: Paul Kenton Tschirhart, Brian Konigsburg
  • Patent number: 11157804
    Abstract: A superconducting neuromorphic pipelined processor core can be used to build neural networks in hardware by providing the functionality of somas, axons, dendrites and synaptic connections. Each instance of the superconducting neuromorphic pipelined processor core can implement a programmable and scalable model of one or more biological neurons in superconducting hardware that is more efficient and biologically suggestive than existing designs. This core can be used to build a wide variety of large-scale neural networks in hardware. The biologically suggestive operation of the neuron core provides additional capabilities to the network that are difficult to implement in software-based neural networks and would be impractical using room-temperature semiconductor electronics. The superconductive electronics that make up the core enable it to perform more operations per second per watt than is possible in comparable state-of-the-art semiconductor-based designs.
    Type: Grant
    Filed: January 25, 2019
    Date of Patent: October 26, 2021
    Assignee: NORTHROP GRUMMAN SYSTEMS CORPORATION
    Inventor: Paul Kenton Tschirhart
  • Publication number: 20210056069
    Abstract: In an embodiment, a method for processing data in a single instruction multiple data (SIMD) computer architecture is provided. A processing element (PE) may determine based on a masking instruction, a predication state indicative of one of a conditional predication mode and an absolute predication mode. The PE may receive a predicated instruction and, based on a value of a head bit of the bits of a predication mask and on the value indicative of the predication state whether to commit a computation corresponding to execution of the predicated instruction. In another embodiment, a SIMD controller stores loops and sections of a program as a separate instruction stream record for generating the memory address of the next instruction. For data streams, the SIMD controller records information for each data memory access that references the same register files that are used by the instruction streams.
    Type: Application
    Filed: August 20, 2020
    Publication date: February 25, 2021
    Inventors: Paul Kenton Tschirhart, Brian Konigsburg
  • Publication number: 20200242452
    Abstract: A superconducting neuromorphic pipelined processor core can be used to build neural networks in hardware by providing the functionality of somas, axons, dendrites and synaptic connections. Each instance of the superconducting neuromorphic pipelined processor core can implement a programmable and scalable model of one or more biological neurons in superconducting hardware that is more efficient and biologically suggestive than existing designs. This core can be used to build a wide variety of large-scale neural networks in hardware. The biologically suggestive operation of the neuron core provides additional capabilities to the network that are difficult to implement in software-based neural networks and would be impractical using room-temperature semiconductor electronics. The superconductive electronics that make up the core enable it to perform more operations per second per watt than is possible in comparable state-of-the-art semiconductor-based designs.
    Type: Application
    Filed: January 25, 2019
    Publication date: July 30, 2020
    Applicant: NORTHROP GRUMMAN SYSTEMS CORPORATION
    Inventor: PAUL KENTON TSCHIRHART
  • Patent number: 6841720
    Abstract: The present invention relates to inductible promoters for use in the control of heterologous genes in transformed plants. Suitable inducible promoters art those which are responsive to low levels of an environmentally acceptable and non-phytoxic inducing agent, and which also demonstrates a low level of developmentally or environmentally induced expression. A preferred prompter naturally drives the expression of a 21.3 kDa protein in Asparagus officinalis or an equivalent protein from the Lillaceae or Amaryllidaceae families. Under the control of a promoter of the invention, a gene will be expressed upon induction by SA or BTH, but preferably will not be developmentally expressed, systemically activated upon pathogen infection, or in response to ABA, ethylene, oxidative or osmotic stresses, or wounding.
    Type: Grant
    Filed: June 21, 1999
    Date of Patent: January 11, 2005
    Assignee: Biogemma UK LTD
    Inventors: John Draper, Paul Kenton, Robert Darby, Wyatt Paul