Patents by Inventor Sameek Bannerjee

Sameek Bannerjee 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: 20250307015
    Abstract: A method for scheduling an artificial neural network includes: accessing a processor representation of a multicore processor comprising processor cores, direct memory access cores, and a cost model; and accessing a network structure defining a set of layers. The method also includes, for each layer in the set of layers: generating a graph based on the processor representation, the graph defining compute nodes, data transfer nodes, and edges representing dependencies between the compute nodes and the data transfer nodes; and generating a schedule for the layer based on the graph, the schedule assigning the compute nodes to the processor cores and assigning the data transfer nodes to the direct memory access cores. The method further includes aggregating the schedule for each layer in the set of layers to generate a complete schedule for the artificial neural network.
    Type: Application
    Filed: June 12, 2025
    Publication date: October 2, 2025
    Inventors: Lava Kumar Bokam, Sameek Bannerjee, Abhilash Bharath Ghanore, Rajashekar Reddy Ereddy, Wajahat Qadeer, Rehan Hameed, Mohamed Shahim, Sreenivas Aerra Reddy
  • Patent number: 12373257
    Abstract: A method for scheduling an artificial neural network includes: accessing a processor representation of a multicore processor comprising processor cores, direct memory access cores, and a cost model; and accessing a network structure defining a set of layers. The method also includes, for each layer in the set of layers: generating a graph based on the processor representation, the graph defining compute nodes, data transfer nodes, and edges representing dependencies between the compute nodes and the data transfer nodes; and generating a schedule for the layer based on the graph, the schedule assigning the compute nodes to the processor cores and assigning the data transfer nodes to the direct memory access cores. The method further includes aggregating the schedule for each layer in the set of layers to generate a complete schedule for the artificial neural network.
    Type: Grant
    Filed: December 18, 2020
    Date of Patent: July 29, 2025
    Assignee: Deep Vision Inc.
    Inventors: Lava Kumar Bokam, Sameek Bannerjee, Abhilash Bharath Ghanore, Rajashekar Reddy Ereddy, Wajahat Qadeer, Rehan Hameed, Mohamed Shahim, Sreenivas Aerra Reddy
  • Publication number: 20210191765
    Abstract: A method for scheduling an artificial neural network includes: accessing a processor representation of a multicore processor comprising processor cores, direct memory access cores, and a cost model; and accessing a network structure defining a set of layers. The method also includes, for each layer in the set of layers: generating a graph based on the processor representation, the graph defining compute nodes, data transfer nodes, and edges representing dependencies between the compute nodes and the data transfer nodes; and generating a schedule for the layer based on the graph, the schedule assigning the compute nodes to the processor cores and assigning the data transfer nodes to the direct memory access cores. The method further includes aggregating the schedule for each layer in the set of layers to generate a complete schedule for the artificial neural network.
    Type: Application
    Filed: December 18, 2020
    Publication date: June 24, 2021
    Inventors: Lava Kumar Bokam, Sameek Bannerjee, Abhilash Bharath Ghanore, Rajashekar Reddy Ereddy, Wajahat Qadeer, Rehan Hameed, Mohamed Shahim, Sreenivas Aerra Reddy