WORKLOAD PERFORMANCE PREDICTION
    5.
    发明申请

    公开(公告)号:US20220147430A1

    公开(公告)日:2022-05-12

    申请号:US17415766

    申请日:2019-07-25

    Abstract: For each of a number of workloads, time intervals within execution performance information that was collected during execution of the workload on a first hardware platform are correlated with corresponding time intervals within execution performance information that was collected during execution of the workload on a second hardware platform. For a workload, the time intervals within the execution performance information on the second hardware platform are correlated to the time intervals within the execution performance information the first hardware platform during which the same parts of the workload were executed. A machine learning model that outputs predicted performance on the second hardware platform relative to known performance on the first hardware platform is trained. The model is trained from the correlated time intervals within the execution performance information for each workload on the hardware platforms.

    MACHINE LEARNING WORKLOAD ORCHESTRATION IN HETEROGENEOUS CLUSTERS

    公开(公告)号:US20230012487A1

    公开(公告)日:2023-01-19

    申请号:US17783311

    申请日:2019-12-20

    Abstract: Systems and methods are described herein to orchestrate the execution of an application, such as a machine learning or artificial intelligence application, using distributed compute clusters with heterogeneous compute resources. A discovery subsystem may identify the different compute resources of each compute cluster. The application is divided into a plurality of workloads with each workload associated with resource demands corresponding to the compute resources of one of the compute clusters. Adaptive modeling allows for hyperparameters to be defined for each workload based on the compute resources associated with the compute cluster to which each respective workload is assigned and the associated dataset.

    Emulated computing device in enhanced reality environments

    公开(公告)号:US11449132B2

    公开(公告)日:2022-09-20

    申请号:US17052153

    申请日:2018-10-09

    Abstract: A computing device generating an enhanced reality environment may include, in an example, a processor to execute the enhanced reality environment on the computing device and emulate hardware associated with a real-world mobile computing device within the enhanced reality environment; a network adapter to communicatively couple the computing device to the real-world mobile computing device; and an enhanced reality data capture module to capture data defining the enhanced reality environment and deliver the data to the mobile computing device to be processed by an app associated with the real-world mobile computing device.

    Shared peripheral devices
    10.
    发明授权

    公开(公告)号:US11281599B2

    公开(公告)日:2022-03-22

    申请号:US17049323

    申请日:2018-10-10

    Abstract: A peripheral device of a computing device may include a processor; a sharing module to, upon execution of the processor, allow the peripheral device to be shared with an external computing device over a network; and a communication module to, upon execution of the processor: provide data from the peripheral device to a peripheral device hub module of a computing device; and provide communication by the peripheral device with the external computing device.

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