Patents by Inventor Sabitha KUSUMA

Sabitha KUSUMA 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: 11915118
    Abstract: A method and an apparatus for processing layers in a neural network fetch Input Feature Map (IFM) tiles of an IFM tensor and kernel tiles of a kernel tensor, perform a convolutional operation on the IFM tiles and the kernel tiles by exploiting IFM sparsity and kernel sparsity, and generate a plurality of OFM tiles corresponding to the IFM tiles.
    Type: Grant
    Filed: February 8, 2023
    Date of Patent: February 27, 2024
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Saptarsi Das, Sabitha Kusuma, Sehwan Lee, Ankur Deshwal, Kiran Kolar Chandrasekharan
  • Publication number: 20230186050
    Abstract: A method and an apparatus for processing layers in a neural network fetch Input Feature Map (IFM) tiles of an IFM tensor and kernel tiles of a kernel tensor, perform a convolutional operation on the IFM tiles and the kernel tiles by exploiting IFM sparsity and kernel sparsity, and generate a plurality of OFM tiles corresponding to the IFM tiles.
    Type: Application
    Filed: February 8, 2023
    Publication date: June 15, 2023
    Applicant: Samsung Electronics Co., Ltd.
    Inventors: Saptarsi DAS, Sabitha KUSUMA, Sehwan LEE, Ankur DESHWAL, Kiran Kolar CHANDRASEKHARAN
  • Patent number: 11604958
    Abstract: A method and an apparatus for processing layers in a neural network fetch Input Feature Map (IFM) tiles of an IFM tensor and kernel tiles of a kernel tensor, perform a convolutional operation on the IFM tiles and the kernel tiles by exploiting IFM sparsity and kernel sparsity, and generate a plurality of OFM tiles corresponding to the IFM tiles.
    Type: Grant
    Filed: March 12, 2020
    Date of Patent: March 14, 2023
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Saptarsi Das, Sabitha Kusuma, Sehwan Lee, Ankur Deshwal, Kiran Kolar Chandrasekharan
  • Publication number: 20220036243
    Abstract: An apparatus includes a global memory and a systolic array. The global memory is configured to store and provide an input feature map (IFM) vector stream from an IFM tensor and a kernel vector stream from a kernel tensor. The systolic array is configured to receive the IFM vector stream and the kernel vector stream from the global memory. The systolic array is on-chip together with the global memory. The systolic array includes a plurality of processing elements (PEs) each having a plurality of vector units, each of the plurality of vector units being configured to perform a dot-product operation on at least one IFM vector of the IFM vector stream and at least one kernel vector of the kernel vector stream per unit clock cycle to generate a plurality of output feature maps (OFMs).
    Type: Application
    Filed: January 13, 2021
    Publication date: February 3, 2022
    Applicant: Samsung Electronics Co., Ltd.
    Inventors: Saptarsi Das, Sabitha Kusuma, Arnab Roy, Ankur Deshwal, Kiran Kolar Chandrasekharan, Sehwan Lee
  • Publication number: 20200293858
    Abstract: A method and an apparatus for processing layers in a neural network fetch Input Feature Map (IFM) tiles of an IFM tensor and kernel tiles of a kernel tensor, perform a convolutional operation on the IFM tiles and the kernel tiles by exploiting IFM sparsity and kernel sparsity, and generate a plurality of OFM tiles corresponding to the IFM tiles.
    Type: Application
    Filed: March 12, 2020
    Publication date: September 17, 2020
    Applicant: Samsung Electronics Co., Ltd.
    Inventors: Saptarsi DAS, Sabitha KUSUMA, Sehwan LEE, Ankur DESHWAL, Kiran Kolar CHANDRASEKHARAN