SCALING FOR VIRTUALIZED GRAPHICS PROCESSING

    公开(公告)号:US20170132747A1

    公开(公告)日:2017-05-11

    申请号:US14938656

    申请日:2015-11-11

    Abstract: Methods, systems, and computer-readable media for scaling for virtualized graphics processing are disclosed. A first virtual GPU is attached to a virtual compute instance of a provider network. The provider network comprises a plurality of computing devices configured to implement a plurality of virtual compute instances with multi-tenancy. The first virtual GPU is replaced by a second virtual GPU based at least in part on a change in GPU requirements for the virtual compute instance. The first and second virtual GPUs are implemented using physical GPU resources that are accessible to the virtual compute instance over a network. Processing for the virtual compute instance is migrated from the first virtual GPU to the second virtual GPU. An application is executed using the second virtual GPU on the virtual compute instance.

    VIRTUALIZING GRAPHICS PROCESSING IN A PROVIDER NETWORK
    2.
    发明申请
    VIRTUALIZING GRAPHICS PROCESSING IN A PROVIDER NETWORK 审中-公开
    虚拟化提供商网络中的图形处理

    公开(公告)号:US20170047041A1

    公开(公告)日:2017-02-16

    申请号:US14822511

    申请日:2015-08-10

    Abstract: Methods, systems, and computer-readable media for virtualizing graphics processing in a provider network are disclosed. A virtual compute instance is provisioned from a provider network. The provider network comprises a plurality of computing devices configured to implement a plurality of virtual compute instances with multi-tenancy. A virtual GPU is attached to the virtual compute instance. The virtual GPU is implemented using a physical GPU, and the physical GPU is accessible to the virtual compute instance over a network. An application is executed using the virtual GPU on the virtual compute instance. Executing the application generates virtual GPU output that is provided to a client device.

    Abstract translation: 公开了用于虚拟化供应商网络中的图形处理的方法,系统和计算机可读介质。 从提供商网络提供虚拟计算实例。 提供商网络包括被配置为实现具有多租户的多个虚拟计算实例的多个计算设备。 虚拟GPU附加到虚拟计算实例。 虚拟GPU使用物理GPU实现,物理GPU可通过网络访问虚拟计算实例。 使用虚拟计算实例上的虚拟GPU执行应用程序。 执行应用程序会生成提供给客户端设备的虚拟GPU输出。

    PLACEMENT OPTIMIZATION FOR VIRTUALIZED GRAPHICS PROCESSING

    公开(公告)号:US20180182061A1

    公开(公告)日:2018-06-28

    申请号:US15905368

    申请日:2018-02-26

    Abstract: Methods, systems, and computer-readable media for placement optimization for virtualized graphics processing are disclosed. A provider network comprises a plurality of instance locations for physical compute instances and a plurality of graphics processing unit (GPU) locations for physical GPUs. A GPU location for a physical GPU or an instance location for a physical compute instance is selected in the provider network. The GPU location or instance location is selected based at least in part on one or more placement criteria. A virtual compute instance with attached virtual GPU is provisioned. The virtual compute instance is implemented using the physical compute instance in the instance location, and the virtual GPU is implemented using the physical GPU in the GPU location. The physical GPU is accessible to the physical compute instance over a network. An application is executed using the virtual GPU on the virtual compute instance.

    LOCAL-TO-REMOTE MIGRATION FOR VIRTUALIZED GRAPHICS PROCESSING

    公开(公告)号:US20170132745A1

    公开(公告)日:2017-05-11

    申请号:US14938461

    申请日:2015-11-11

    Abstract: Methods, systems, and computer-readable media for local-to-remote migration for virtualized graphics processing are disclosed. A virtual compute instance comprising a local GPU is provisioned from a provider network. The provider network comprises a plurality of computing devices configured to implement a plurality of virtual compute instances with multi-tenancy. A virtual GPU is attached to the virtual compute instance. The virtual GPU is implemented using a physical GPU, and the physical GPU is accessible to the virtual compute instance over a network. Graphics processing for the virtual compute instance is migrated from the local GPU to the virtual GPU. An application is executed using the virtual GPU on the virtual compute instance.

    PLACEMENT OPTIMIZATION FOR VIRTUALIZED GRAPHICS PROCESSING

    公开(公告)号:US20170132746A1

    公开(公告)日:2017-05-11

    申请号:US14938654

    申请日:2015-11-11

    Abstract: Methods, systems, and computer-readable media for placement optimization for virtualized graphics processing are disclosed. A provider network comprises a plurality of instance locations for physical compute instances and a plurality of graphics processing unit (GPU) locations for physical GPUs. A GPU location for a physical GPU or an instance location for a physical compute instance is selected in the provider network. The GPU location or instance location is selected based at least in part on one or more placement criteria. A virtual compute instance with attached virtual GPU is provisioned. The virtual compute instance is implemented using the physical compute instance in the instance location, and the virtual GPU is implemented using the physical GPU in the GPU location. The physical GPU is accessible to the physical compute instance over a network. An application is executed using the virtual GPU on the virtual compute instance.

    APPLICATION-SPECIFIC VIRTUALIZED GRAPHICS PROCESSING

    公开(公告)号:US20170132744A1

    公开(公告)日:2017-05-11

    申请号:US14938457

    申请日:2015-11-11

    Abstract: Methods, systems, and computer-readable media for application-specific virtualized graphics processing are disclosed. A virtual compute instance is provisioned from a provider network. The provider network comprises a plurality of computing devices configured to implement a plurality of virtual compute instances with multi-tenancy. A virtual GPU is attached to the virtual compute instance. The virtual GPU is selected based at least in part on requirements of an application. The virtual GPU is implemented using a physical GPU, and the physical GPU is accessible to the virtual compute instance over a network. The application is executed using the virtual GPU on the virtual compute instance.

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