Patents by Inventor Dan Lavery

Dan Lavery 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).

  • Apparatus to implement mesocode
    Patent number: 7260705
    Abstract: In one embodiment, the invention provides a method for examining information about branch instructions. A method, comprising: examining information about branch instructions that reach a write-back stage of processing within a processor, defining a plurality of streams based on the examining, wherein each stream comprises a sequence of basic blocks in which only a last block in the sequence ends in a branch instruction, the execution of which causes program flow to branch, the remaining basic blocks in the stream each ending in a branch instruction, the execution of which does not cause program flow to branch.
    Type: Grant
    Filed: June 26, 2003
    Date of Patent: August 21, 2007
    Assignee: Intel Corporation
    Inventors: Hong Wang, John Shen, Perry Wang, Marsha Eng, Gerolf F. Hoflehner, Dan Lavery, Wei Li, Alejandro Ramirez, Ed Grochowski
  • Apparatus to implement mesocode
    Publication number: 20040268100
    Abstract: In one embodiment, the invention provides a method for examining information about branch instructions. A method, comprising: examining information about branch instructions that reach a write-back stage of processing within a processor, defining a plurality of streams based on the examining, wherein each stream comprises a sequence of basic blocks in which only a last block in the sequence ends in a branch instruction, the execution of which causes program flow to branch, the remaining basic blocks in the stream each ending in a branch instruction, the execution of which does not cause program flow to branch.
    Type: Application
    Filed: June 26, 2003
    Publication date: December 30, 2004
    Inventors: Hong Wang, John Shen, Perry Wang, Marsha Eng, Gerolf F. Hoflehner, Dan Lavery, Wei Li, Alejandro Ramirez, Ed Grochowski