Patents by Inventor Yarden Oren

Yarden Oren 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).

  • SCHEDULING CONFIGURATION FOR DEEP LEARNING NETWORKS
    Publication number: 20230281435
    Abstract: In an example, an apparatus comprises a plurality of execution units comprising and logic, at least partially including hardware logic, to traverse a solution space, score a plurality of solutions to a scheduling deep learning network execution, and select a preferred solution from the plurality of solutions to implement the deep learning network. Other embodiments are also disclosed and claimed.
    Type: Application
    Filed: February 24, 2023
    Publication date: September 7, 2023
    Applicant: Intel Corporation
    Inventors: Eran Ben-Avi, Neta Zmora, Guy Jacob, Lev Faivishevsky, Jeremie Dreyfuss, Tomer Bar-On, Jacob Subag, Yaniv Fais, Shira Hirsch, Orly Weisel, Zigi Walter, Yarden Oren
  • Scheduling configuration for deep learning networks
    Patent number: 11599777
    Abstract: In an example, an apparatus comprises a plurality of execution units comprising and logic, at least partially including hardware logic, to traverse a solution space, score a plurality of solutions to a scheduling deep learning network execution, and select a preferred solution from the plurality of solutions to implement the deep learning network. Other embodiments are also disclosed and claimed.
    Type: Grant
    Filed: April 28, 2017
    Date of Patent: March 7, 2023
    Assignee: Intel Corporation
    Inventors: Eran Ben-Avi, Neta Zmora, Guy Jacob, Lev Faivishevsky, Jeremie Dreyfuss, Tomer Bar-On, Jacob Subag, Yaniv Fais, Shira Hirsch, Orly Weisel, Zigi Walter, Yarden Oren
  • SCHEDULING CONFIGURATION FOR DEEP LEARNING NETWORKS
    Publication number: 20180314934
    Abstract: In an example, an apparatus comprises a plurality of execution units comprising and logic, at least partially including hardware logic, to traverse a solution space, score a plurality of solutions to a scheduling deep learning network execution, and select a preferred solution from the plurality of solutions to implement the deep learning network. Other embodiments are also disclosed and claimed.
    Type: Application
    Filed: April 28, 2017
    Publication date: November 1, 2018
    Applicant: Intel Corporation
    Inventors: Eran Ben-Avi, Neta Zmora, Guy Jacob, Lev Faivishevsky, Jeremie Dreyfuss, Tomer Bar-On, Jacob Subag, Yaniv Fais, Shira Hirsh, Orly Weisel, Zigi Walter, Yarden Oren