Patents by Inventor Raul Castro Fernandez

Raul Castro Fernandez 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).

  • High performance query processing and data analytics
    Patent number: 10896178
    Abstract: High performance query processing and data analytics can be performed across architecturally diverse scales, such as single core, multi-core and/or multi-nodes. The high performance query processing and data analytics can include a separation of query computation, keying data, and data movement and parallel computation, thereby enhancing the capabilities of the query processing and data analytics, while allowing the specification of complex forms of data parallel computation that may execute across real-time and offline. The decoupling of data movement and parallel computation, as described herein can improve query processing and data analytics speed, can provide for the optimization of searches in a plurality of computing environments, and can provide the ability to search through a larger space of execution plans.
    Type: Grant
    Filed: March 30, 2016
    Date of Patent: January 19, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Badrish Chandramouli, Raul Castro Fernandez, Abdul H. Quamar, Ahmed Eldawy, Jonathan D. Goldstein
  • High Performance Query Processing and Data Analytics
    Publication number: 20170286485
    Abstract: High performance query processing and data analytics can be performed across architecturally diverse scales, such as single core, multi-core and/or multi-nodes. The high performance query processing and data analytics can include a separation of query computation, keying data, and data movement and parallel computation, thereby enhancing the capabilities of the query processing and data analytics, while allowing the specification of complex forms of data parallel computation that may execute across real-time and offline. The decoupling of data movement and parallel computation, as described herein can improve query processing and data analytics speed, can provide for the optimization of searches in a plurality of computing environments, and can provide the ability to search through a larger space of execution plans.
    Type: Application
    Filed: March 30, 2016
    Publication date: October 5, 2017
    Inventors: Badrish Chandramouli, Raul Castro Fernandez, Abdul H. Quamar, Ahmed Eldawy, Jonathan D. Goldstein