Patents by Inventor Zachary D. NEYLAND

Zachary D. NEYLAND 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: 11610281
    Abstract: A method of processing a workload in a graphics processing unit (GPU) may include detecting a work item of the workload in the GPU, determining a cache policy for the work item, and operating at least a portion of a cache memory hierarchy in the GPU for at least a portion of the work item based on the cache policy. The work item may be detected based on information received from an application and/or monitoring one or more performance counters by a driver and/or hardware detection logic. The method may further include monitoring one or more performance counters, wherein the cache policy for the work item may be determined and/or changed based on the one or more performance counters. The cache policy for the work item may be selected based on a runtime learning model.
    Type: Grant
    Filed: January 11, 2021
    Date of Patent: March 21, 2023
    Inventors: Sushant Kondguli, Arun Radhakrishnan, Zachary D. Neyland, David C. Tannenbaum
  • Publication number: 20220067876
    Abstract: A method of processing a workload in a graphics processing unit (GPU) may include detecting a work item of the workload in the GPU, determining a cache policy for the work item, and operating at least a portion of a cache memory hierarchy in the GPU for at least a portion of the work item based on the cache policy. The work item may be detected based on information received from an application and/or monitoring one or more performance counters by a driver and/or hardware detection logic. The method may further include monitoring one or more performance counters, wherein the cache policy for the work item may be determined and/or changed based on the one or more performance counters. The cache policy for the work item may be selected based on a runtime learning model.
    Type: Application
    Filed: January 11, 2021
    Publication date: March 3, 2022
    Inventors: Sushant KONDGULI, Arun RADHAKRISHNAN, Zachary D. NEYLAND, David C. TANNENBAUM