Patents by Inventor Jitendra Onkar Kolhe

Jitendra Onkar Kolhe 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: 12254416
    Abstract: Examples disclosed herein relate to using a compiler for implementing tensor operations in a neural network base computing system. A compiler defines the tensor operations to be implemented. The compiler identifies a binary tensor operation receiving input operands from a first output tensor of a first tensor operation and a second output tensor of a second tensor operation from two different paths of the convolution neural network. For the binary tensor operation, the compiler allocates a buffer space for a first input operand in the binary tensor operation based on a difference between a count of instances of the first output tensor and a count of instances of the second output tensor.
    Type: Grant
    Filed: April 13, 2021
    Date of Patent: March 18, 2025
    Assignee: Hewlett Packard Enterprise Development LP
    Inventors: Jitendra Onkar Kolhe, Soumitra Chatterjee, Vaithyalingam Nagendran, Shounak Bandopadhyay
  • Patent number: 11556766
    Abstract: In some examples, a system generates a neural network comprising logical identifiers of compute resources. For executing the neural network, the system maps the logical identifiers to physical addresses of physical resources, and loads instructions of the neural network onto the physical resources, wherein the loading comprises converting the logical identifiers in the neural network to the physical addresses.
    Type: Grant
    Filed: March 23, 2020
    Date of Patent: January 17, 2023
    Assignee: Hewlett Packard Enterprise Development LP
    Inventors: Jitendra Onkar Kolhe, Gustavo Knuppe, Shyam Sankar Gopalakrishnan, Vaithyalingam Nagendran, Shounak Bandopadhyay
  • Publication number: 20210295139
    Abstract: In some examples, a system generates a neural network comprising logical identifiers of compute resources. For executing the neural network, the system maps the logical identifiers to physical addresses of physical resources, and loads instructions of the neural network onto the physical resources, wherein the loading comprises converting the logical identifiers in the neural network to the physical addresses.
    Type: Application
    Filed: March 23, 2020
    Publication date: September 23, 2021
    Inventors: Jitendra Onkar Kolhe, Gustavo Knuppe, Shyam Sankar Gopalakrishnan, Vaithyalingam Nagendran, Shounak Bandopadhyay