Interaction monitoring for virtualized graphics processing

    公开(公告)号:US10482561B1

    公开(公告)日:2019-11-19

    申请号:US15404131

    申请日:2017-01-11

    Abstract: Methods, systems, and computer-readable media for interaction monitoring for virtualized graphics processing are disclosed. Execution of an application is initiated on a virtual compute instance that is implemented using CPU and memory resources of a server. Instruction calls are produced by the execution of the application and sent from the server to a graphics server over a network. The graphics server comprises a physical GPU, and a virtual GPU is implemented using the physical GPU and attached to the virtual compute instance. GPU output is generated at the graphics server based at least in part on execution of the instruction calls using the virtual GPU. A log of interactions between the application and the virtual GPU is stored. The interactions comprise the instruction calls sent to the graphics server and responses to the instruction calls sent to the virtual compute instance.

    Compute Platform Optimization Over the Life of a Workload in a Distributed Computing Environment

    公开(公告)号:US20220413891A1

    公开(公告)日:2022-12-29

    申请号:US17861795

    申请日:2022-07-11

    Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.

    Compute Platform Recommendations for New Workloads in a Distributed Computing Environment

    公开(公告)号:US20220291941A1

    公开(公告)日:2022-09-15

    申请号:US17752299

    申请日:2022-05-24

    Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.

    Compute platform optimization over the life of a workload in a distributed computing environment

    公开(公告)号:US11385920B2

    公开(公告)日:2022-07-12

    申请号:US16367862

    申请日:2019-03-28

    Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.

    Compute platform recommendations for new workloads in a distributed computing environment

    公开(公告)号:US11372663B2

    公开(公告)日:2022-06-28

    申请号:US16367801

    申请日:2019-03-28

    Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.

    Compute Platform Optimization Across Heterogeneous Hardware in a Distributed Computing Environment

    公开(公告)号:US20200314171A1

    公开(公告)日:2020-10-01

    申请号:US16367914

    申请日:2019-03-28

    Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.

    Compute Platform Optimization Over the Life of a Workload in a Distributed Computing Environment

    公开(公告)号:US20200310853A1

    公开(公告)日:2020-10-01

    申请号:US16367862

    申请日:2019-03-28

    Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.

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