Patents by Inventor Ohad Frenkel

Ohad Frenkel 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).

  • Graphics processing unit resource dependency viewer
    Patent number: 10628909
    Abstract: A Resource Dependency Viewer for graphics processing unit (GPU) execution information is disclosed. The Resource Dependency Viewer provides profiling/debugging information concurrently with information about execution flow, resource utilization, execution statistics, and orphaned resources, among other things. A user-interactive graph (“dependency graph”) may be provided via a graphical user interface to allow interactive analysis of code executed on a GPU (e.g., graphics or compute code). Resource utilization and execution flow of encoders may be identified by analyzing contents of a GPU workload representative of a GPU execution trace to generate the dependency graph. Information about dependencies and execution statistics may be further analyzed using heuristics to identify potential problem areas. The dependency graph may include visual indicators of these problem areas.
    Type: Grant
    Filed: June 1, 2018
    Date of Patent: April 21, 2020
    Assignee: Apple Inc.
    Inventors: Ohad Frenkel, Eric O. Sunalp, Dustin J. Greene, Alp Yucebilgin, Domenico Troiano, Maximilian Christ, Andrew M. Sowerby, Lionel Lemarie, Sebastian Schaefer
  • Graphics Processing Unit Resource Dependency Viewer
    Publication number: 20190370927
    Abstract: A Resource Dependency Viewer for graphics processing unit (GPU) execution information is disclosed. The Resource Dependency Viewer provides profiling/debugging information concurrently with information about execution flow, resource utilization, execution statistics, and orphaned resources, among other things. A user-interactive graph (“dependency graph”) may be provided via a graphical user interface to allow interactive analysis of code executed on a GPU (e.g., graphics or compute code). Resource utilization and execution flow of encoders may be identified by analyzing contents of a GPU workload representative of a GPU execution trace to generate the dependency graph. Information about dependencies and execution statistics may be further analyzed using heuristics to identify potential problem areas. The dependency graph may include visual indicators of these problem areas.
    Type: Application
    Filed: June 1, 2018
    Publication date: December 5, 2019
    Inventors: Ohad Frenkel, Eric O. Sunalp, Dustin J. Greene, Alp Yucebilgin, Domenico Troiano, Maximilian Christ, Andrew M. Sowerby, Lionel Lemarie, Sebastian Schaefer