Patents by Inventor Eric Donkoh

Eric Donkoh 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).

  • Reducing microprocessor power with minimal performance impact by dynamically adapting runtime operating configurations using machine learning
    Patent number: 11048318
    Abstract: A system on a chip is described that comprises a processor and a set of memory components that store instructions, which when executed by the processor cause the system on a chip to: generate, by a set of data collectors of a telemetry subsystem, a set of streams of telemetry metadata describing operation of the processor, forward one or more streams of telemetry metadata from the set of streams of telemetry metadata to a set of machine learning-driven adaptation decision models, receive, from the set of machine learning-driven adaptation decision models, a set of configuration parameters for controlling operation of the processor based on the one or more streams of telemetry metadata, and modify operation of the processor based on the set of configuration parameters.
    Type: Grant
    Filed: March 29, 2019
    Date of Patent: June 29, 2021
    Assignee: Intel Corporation
    Inventors: Julien Sebot, Rangeen Basu Roy Chowdhury, Rustam Miftakhutdinov, Stephen J. Tarsa, Gautham N. Chinya, Eric Donkoh
  • REDUCING MICROPROCESSOR POWER WITH MINIMAL PERFORMANCE IMPACT BY DYNAMICALLY ADAPTING RUNTIME OPERATING CONFIGURATIONS USING MACHINE LEARNING
    Publication number: 20200183482
    Abstract: A system on a chip is described that comprises a processor and a set of memory components that store instructions, which when executed by the processor cause the system on a chip to: generate, by a set of data collectors of a telemetry subsystem, a set of streams of telemetry metadata describing operation of the processor, forward one or more streams of telemetry metadata from the set of streams of telemetry metadata to a set of machine learning-driven adaptation decision models, receive, from the set of machine learning-driven adaptation decision models, a set of configuration parameters for controlling operation of the processor based on the one or more streams of telemetry metadata, and modify operation of the processor based on the set of configuration parameters.
    Type: Application
    Filed: March 29, 2019
    Publication date: June 11, 2020
    Applicant: Intel Corporation
    Inventors: Julien Sebot, Rangeen Basu Roy Chowdhury, Rustam Miftakhutdinov, Stephen J. Tarsa, Gautham N. Chinya, Eric Donkoh