Patents by Inventor Miaorong Wang

Miaorong Wang 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).

  • Efficient Neural Network Accelerator Dataflows
    Publication number: 20220076110
    Abstract: A distributed deep neural net (DNN) utilizing a distributed, tile-based architecture includes multiple chips, each with a central processing element, a global memory buffer, and a plurality of additional processing elements. Each additional processing element includes a weight buffer, an activation buffer, and vector multiply-accumulate units to combine, in parallel, the weight values and the activation values using stationary data flows.
    Type: Application
    Filed: November 19, 2021
    Publication date: March 10, 2022
    Applicant: NVIDIA Corp.
    Inventors: Yakun Shao, Rangharajan Venkatesan, Miaorong Wang, Daniel Smith, William James Dally, Joel Emer, Stephen W. Keckler, Brucek Khailany
  • Efficient neural network accelerator dataflows
    Patent number: 11270197
    Abstract: A distributed deep neural net (DNN) utilizing a distributed, tile-based architecture includes multiple chips, each with a central processing element, a global memory buffer, and a plurality of additional processing elements. Each additional processing element includes a weight buffer, an activation buffer, and vector multiply-accumulate units to combine, in parallel, the weight values and the activation values using stationary data flows.
    Type: Grant
    Filed: November 4, 2019
    Date of Patent: March 8, 2022
    Assignee: NVIDIA Corp.
    Inventors: Yakun Shao, Rangharajan Venkatesan, Miaorong Wang, Daniel Smith, William James Dally, Joel Emer, Stephen W. Keckler, Brucek Khailany
  • EFFICIENT NEURAL NETWORK ACCELERATOR DATAFLOWS
    Publication number: 20200293867
    Abstract: A distributed deep neural net (DNN) utilizing a distributed, tile-based architecture includes multiple chips, each with a central processing element, a global memory buffer, and a plurality of additional processing elements. Each additional processing element includes a weight buffer, an activation buffer, and vector multiply-accumulate units to combine, in parallel, the weight values and the activation values using stationary data flows.
    Type: Application
    Filed: November 4, 2019
    Publication date: September 17, 2020
    Applicant: NVIDIA Corp.
    Inventors: Yakun Shao, Rangharajan Venkatesan, Miaorong Wang, Daniel Smith, William James Dally, Joel Emer, Stephen W. Keckler, Brucek Khailany