Patents by Inventor Hou-Jen Ko

Hou-Jen Ko 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: 10853078
    Abstract: A processor includes a store buffer to store store instructions to be processed to store data in main memory, a load buffer to store load instructions to be processed to load data from main memory, and a loop invariant code motion (LICM) protection structure coupled to the store buffer and the load buffer. The LPT tracks information to compare an address of a store or snoop microoperation with entries in the LICM and re-loads a load microoperation of a matching entry.
    Type: Grant
    Filed: December 21, 2018
    Date of Patent: December 1, 2020
    Assignee: INTEL CORPORATION
    Inventors: Vineeth Mekkat, Mark Dechene, Zhongying Zhang, John Faistl, Janghaeng Lee, Hou-Jen Ko, Sebastian Winkel, Oleg Margulis
  • Publication number: 20200201645
    Abstract: A processor includes a store buffer to store store instructions to be processed to store data in main memory, a load buffer to store load instructions to be processed to load data from main memory, and a loop invariant code motion (LICM) protection structure coupled to the store buffer and the load buffer. The LPT tracks information to compare an address of a store or snoop microoperation with entries in the LICM and re-loads a load microoperation of a matching entry.
    Type: Application
    Filed: December 21, 2018
    Publication date: June 25, 2020
    Inventors: Vineeth MEKKAT, Mark DECHENE, Zhongying ZHANG, John FAISTL, Janghaeng LEE, Hou-Jen KO, Sebastian WINKEL, Oleg MARGULIS
  • Patent number: 10191745
    Abstract: In one example a processor includes a region formation engine to identify a region of code for translation from a guest instruction set architecture to a native instruction set architecture. The processor also includes a binary translator to translate the region of code. The region formation engine is to perform aggressive region formation, which includes forming a region across a boundary of a return instruction. The translated region of code is to prevent a side entry into the translated region of code at a translated return target instruction included in the translated region of code. In more specific examples, performing aggressive region formation includes a region formation grow phase and a region formation cleanup phase. In the grow phase priority may be given to growing complete paths from a call target to a corresponding return. The region formation cleanup phase may comprise eliminating call targets that are not reachable.
    Type: Grant
    Filed: March 31, 2017
    Date of Patent: January 29, 2019
    Assignee: Intel Corporation
    Inventors: Hou-Jen Ko, Girish Venkatasubramanian, Jason Agron, Tyler Sondag, Youfeng Wu
  • Publication number: 20180285113
    Abstract: In one example a processor includes a region formation engine to identify a region of code for translation from a guest instruction set architecture to a native instruction set architecture. The processor also includes a binary translator to translate the region of code. The region formation engine is to perform aggressive region formation, which includes forming a region across a boundary of a return instruction. The translated region of code is to prevent a side entry into the translated region of code at a translated return target instruction included in the translated region of code. In more specific examples, performing aggressive region formation includes a region formation grow phase and a region formation cleanup phase. In the grow phase priority may be given to growing complete paths from a call target to a corresponding return. The region formation cleanup phase may comprise eliminating call targets that are not reachable.
    Type: Application
    Filed: March 31, 2017
    Publication date: October 4, 2018
    Applicant: Intel Corporation
    Inventors: Hou-Jen Ko, Girish Venkatasubramanian, Jason Agron, Tyler Sondag, Youfeng Wu