Patents by Inventor Douglas Saylor

Douglas Saylor 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).

  • Execution of retargetted graphics processor accelerated code by a general purpose processor
    Patent number: 9448779
    Abstract: One embodiment of the present invention sets forth a technique for translating application programs written using a parallel programming model for execution on multi-core graphics processing unit (GPU) for execution by general purpose central processing unit (CPU). Portions of the application program that rely on specific features of the multi-core GPU are converted by a translator for execution by a general purpose CPU. The application program is partitioned into regions of synchronization independent instructions. The instructions are classified as convergent or divergent and divergent memory references that are shared between regions are replicated. Thread loops are inserted to ensure correct sharing of memory between various threads during execution by the general purpose CPU.
    Type: Grant
    Filed: March 20, 2009
    Date of Patent: September 20, 2016
    Assignee: NVIDIA Corporation
    Inventors: Vinod Grover, Bastiaan Joannes Matheus Aarts, Michael Murphy, Jayant B. Kolhe, John Bryan Pormann, Douglas Saylor
  • Retargetting an application program for execution by a general purpose processor
    Patent number: 8612732
    Abstract: One embodiment of the present invention sets forth a technique for translating application programs written using a parallel programming model for execution on multi-core graphics processing unit (GPU) for execution by general purpose central processing unit (CPU). Portions of the application program that rely on specific features of the multi-core GPU are converted by a translator for execution by a general purpose CPU. The application program is partitioned into regions of synchronization independent instructions. The instructions are classified as convergent or divergent and divergent memory references that are shared between regions are replicated. Thread loops are inserted to ensure correct sharing of memory between various threads during execution by the general purpose CPU.
    Type: Grant
    Filed: March 19, 2009
    Date of Patent: December 17, 2013
    Assignee: NVIDIA Corporation
    Inventors: Vinod Grover, Bastiaan Joannes Matheus Aarts, Michael Murphy, Boris Beylin, Jayant B. Kolhe, Douglas Saylor
  • RETARGETTING AN APPLICATION PROGRAM FOR EXECUTION BY A GENERAL PURPOSE PROCESSOR
    Publication number: 20090259832
    Abstract: One embodiment of the present invention sets forth a technique for translating application programs written using a parallel programming model for execution on multi-core graphics processing unit (GPU) for execution by general purpose central processing unit (CPU). Portions of the application program that rely on specific features of the multi-core GPU are converted by a translator for execution by a general purpose CPU. The application program is partitioned into regions of synchronization independent instructions. The instructions are classified as convergent or divergent and divergent memory references that are shared between regions are replicated. Thread loops are inserted to ensure correct sharing of memory between various threads during execution by the general purpose CPU.
    Type: Application
    Filed: March 19, 2009
    Publication date: October 15, 2009
    Inventors: Vinod GROVER, Bastiaan Joannes Matheus AARTS, Michael MURPHY, Boris BEYLIN, Jayant B. KOLHE, Douglas SAYLOR
  • EXECUTION OF RETARGETTED GRAPHICS PROCESSOR ACCELERATED CODE BY A GENERAL PURPOSE PROCESSOR
    Publication number: 20090259828
    Abstract: One embodiment of the present invention sets forth a technique for translating application programs written using a parallel programming model for execution on multi-core graphics processing unit (GPU) for execution by general purpose central processing unit (CPU). Portions of the application program that rely on specific features of the multi-core GPU are converted by a translator for execution by a general purpose CPU. The application program is partitioned into regions of synchronization independent instructions. The instructions are classified as convergent or divergent and divergent memory references that are shared between regions are replicated. Thread loops are inserted to ensure correct sharing of memory between various threads during execution by the general purpose CPU.
    Type: Application
    Filed: March 20, 2009
    Publication date: October 15, 2009
    Inventors: Vinod Grover, Bastiaan Joannes Matheus Aarts, Michael Murphy, Jayant B. Kolhe, John Bryan Pormann, Douglas Saylor