Patents by Inventor Horace H. Lau

Horace H. Lau 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).

  • DEEP LEARNING HARDWARE
    Publication number: 20240112006
    Abstract: A network of matrix processing units (MPUs) is provided on a device, where each MPU is connected to at least one other MPU in the network, and each MPU is to perform matrix multiplication operations. Computer memory stores tensor data and a master control central processing unit (MCC) is provided on the device to receive an instruction from a host device, where the instruction includes one or more tensor operands based on the tensor data. The MCC invokes a set of operations on one or more of the MPUs based on the instruction, where the set of operations includes operations on the tensor operands. A result is generated from the set of operations, the result embodied as a tensor value.
    Type: Application
    Filed: December 8, 2023
    Publication date: April 4, 2024
    Inventors: Horace H. Lau, Prashant Arora, Olivia K. Wu, Tony L. Werner, Carey K. Kloss, Amir Khosrowshahi, Andrew Yang, Aravind Kalaiah, Vijay Anand R. Korthikanti
  • DEEP LEARNING HARDWARE
    Publication number: 20190392297
    Abstract: A network of matrix processing units (MPUs) is provided on a device, where each MPU is connected to at least one other MPU in the network, and each MPU is to perform matrix multiplication operations. Computer memory stores tensor data and a master control central processing unit (MCC) is provided on the device to receive an instruction from a host device, where the instruction includes one or more tensor operands based on the tensor data. The MCC invokes a set of operations on one or more of the MPUs based on the instruction, where the set of operations includes operations on the tensor operands. A result is generated from the set of operations, the result embodied as a tensor value.
    Type: Application
    Filed: December 28, 2017
    Publication date: December 26, 2019
    Applicant: Intel Corporation
    Inventors: Horace H. Lau, Prashant Arora, Olivia K. Wu, Tony Werner, Carey K. Kloss, Amir Khosrowshahi, Andrew Yang, Aravind Kalaiah, Vijay Anand R. Korthikanti