Patents by Inventor Christopher Cade Daniel

Christopher Cade Daniel 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).

  • Automatic partitioning of machine learning models for training across multiple devices
    Patent number: 12189717
    Abstract: Automatic partitioning of a machine learning model may be performed for training across multiple processing devices. A training job for a machine learning model may specify a number of partitions for a machine learning model. An optimization parameter may be determined for the machine learning model. Different partitions of the machine learning model to be trained across multiple processing devices may be determined based on the specified number of partitions and the optimization parameter. A schedule for executing the training job may be generated according to the respective partitions of the machine learning model. The training job may be executed according to the schedule.
    Type: Grant
    Filed: November 27, 2020
    Date of Patent: January 7, 2025
    Assignee: Amazon Technologies, Inc.
    Inventors: Can Karakus, Rahul Raghavendra Huilgol, Anirudh Subramanian, Fei Wu, Christopher Cade Daniel, Akhil Mehra, Ajay Paidi, Yutong Zhang, Indu Thangakrishnan, Luis Alves Pereira Quintela