The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 01, 2019

Filed:

Mar. 27, 2017
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Malcolm Featonby, Sammamish, WA (US);

Douglas Cotton Kurtz, Sammamish, WA (US);

Paolo Maggi, Alba, IT;

Umesh Chandani, Seattle, WA (US);

John Merrill Phillips, Jr., Seattle, WA (US);

Yuxuan Liu, Seattle, WA (US);

Adithya Bhat, Seattle, WA (US);

Mihir Sadruddin Surani, Seattle, WA (US);

Andrea Curtoni, Asti, IT;

Nicholas Patrick Wilt, Mercer Island, WA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 1/20 (2006.01); G06T 1/60 (2006.01); G06F 9/455 (2018.01);
U.S. Cl.
CPC ...
G06T 1/20 (2013.01); G06F 9/455 (2013.01); G06T 1/60 (2013.01);
Abstract

Methods, systems, and computer-readable media for dynamic interface synchronization for virtualized graphics processing are disclosed. A GPU interface synchronization request is sent from a compute instance to a graphics processing unit (GPU) server via a network. The GPU server comprises a virtual GPU attached to the compute instance and implemented using at least one physical GPU. Based at least in part on the GPU interface synchronization request, a shared version of a GPU interface is determined for use with the compute instance and the GPU server. Program code of the shared version of the GPU interface is installed on the compute instance and on the GPU server. Using the shared version of the GPU interface, the compute instance sends instructions to the virtual GPU over the network, and the virtual GPU generates GPU output associated with the instructions.


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