Patents by Inventor Vamsi Sripathi

Vamsi Sripathi 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).

  • Method, Computer Program, and Computer System for Prefetching Data During Execution of an Application Program
    Publication number: 20240143507
    Abstract: Examples relate to a non-transitory, computer-readable medium, method, and computer system for prefetching data during executing of a computer program. The non-transitory, computer-readable medium comprises machine-readable instructions that, when the program code is executed on a processor, causes the processor to pre-fetch to a processor cache, using data transfer offloading circuitry of the processor, data being accessed by an application program from a main memory of the computer system, and to execute the computer program using the pre-fetched data that is stored in the processor cache.
    Type: Application
    Filed: November 28, 2022
    Publication date: May 2, 2024
    Inventors: Narayan RANGANATHAN, Vamsi SRIPATHI
  • Automated resource usage configurations for deep learning neural network workloads on multi-generational computing architectures
    Patent number: 11029971
    Abstract: Systems, apparatuses and methods may provide for technology that identifies a first set of compute nodes and a second set of compute nodes, wherein the first set of compute nodes execute more slowly than the second set of compute nodes. The technology may also automatically determine a compute node configuration that results in a relatively low difference in completion time between the first set of compute nodes and the second set of compute nodes with respect to a neural network workload. In an example, the technology applies the compute node configuration to an execution of the neural network workload on one or more nodes in the first set of compute nodes and one or more nodes in the second set of compute nodes.
    Type: Grant
    Filed: January 28, 2019
    Date of Patent: June 8, 2021
    Assignee: Intel Corporation
    Inventors: Meenakshi Arunachalam, Kushal Datta, Vikram Saletore, Vishal Verma, Deepthi Karkada, Vamsi Sripathi, Rahul Khanna, Mohan Kumar
  • AUTOMATED RESOURCE USAGE CONFIGURATIONS FOR DEEP LEARNING NEURAL NETWORK WORKLOADS ON MULTI-GENERATIONAL COMPUTING ARCHITECTURES
    Publication number: 20190155620
    Abstract: Systems, apparatuses and methods may provide for technology that identifies a first set of compute nodes and a second set of compute nodes, wherein the first set of compute nodes execute more slowly than the second set of compute nodes. The technology may also automatically determine a compute node configuration that results in a relatively low difference in completion time between the first set of compute nodes and the second set of compute nodes with respect to a neural network workload. In an example, the technology applies the compute node configuration to an execution of the neural network workload on one or more nodes in the first set of compute nodes and one or more nodes in the second set of compute nodes.
    Type: Application
    Filed: January 28, 2019
    Publication date: May 23, 2019
    Inventors: Meenakshi Arunachalam, Kushal Datta, Vikram Saletore, Vishal Verma, Deepthi Karkada, Vamsi Sripathi, Rahul Khanna, Mohan Kumar