Selective compiling method, device, and corresponding computer program product

    公开(公告)号:US10216497B2

    公开(公告)日:2019-02-26

    申请号:US15359478

    申请日:2016-11-22

    Applicant: Google LLC

    Abstract: A method and compiling device are provided for compiling a software application to be executed on a virtual machine of a physical platform. The software application originally is in the form of a set of codes to be compiled. The method includes a phase of selectively compiling the set of codes to be compiled, outputting a compiled application including a first application part which is executed by the virtual machine using commands from the virtual machine, and a second application part including binary commands which can be executed directly on the physical platform.

    Task Management System for a Modular Electronic Device

    公开(公告)号:US20180276048A1

    公开(公告)日:2018-09-27

    申请号:US15984709

    申请日:2018-05-21

    Applicant: Google LLC

    Abstract: Systems and methods are provided for managing task performance for a modular electronic device. In one implementation, a modular electronic device can include one or more electronic modular components. The modular electronic device can identify a computational task associated with the modular electronic device and identify one or more computing devices that are available to perform at least a portion of the computational task. The modular electronic device can obtain one or more sets of data associated with one or more computational resources of the computing devices. The modular electronic device can determine a potential benefit to the modular electronic device associated with the performance of the computational task by the computing devices. The modular electronic device can perform at least a portion of the computational task with the computing devices based, at least in part, on the sets of data associated with the computational resources and the potential benefit.

    Determining Tasks to be Performed by a Modular Entity

    公开(公告)号:US20180285162A1

    公开(公告)日:2018-10-04

    申请号:US15997488

    申请日:2018-06-04

    Applicant: Google LLC

    Abstract: Systems and methods of determining tasks to be performed by a modular entity are disclosed. For instance, data associated with one or more tasks performed by one or more first modular entities within one or more modular computing environments can be obtained. Each first modular entity includes at least one modular component. A performance score can be determined for each task performed by each first modular entity. The performance scores can provide a measure of efficiency of a performance of a task by a first modular entity. An entity profile can be determined for each first modular entity based at least in part on the determined performance scores. At least one task to be performed by at least one modular entity can be determined based at least in part on the determined entity profiles for the one or more first modular entities.

    Task management system for computer networks

    公开(公告)号:US10268520B2

    公开(公告)日:2019-04-23

    申请号:US15984709

    申请日:2018-05-21

    Applicant: Google LLC

    Abstract: Systems and methods are provided for managing task performance for a modular electronic device. In one implementation, a modular electronic device can include one or more electronic modular components. The modular electronic device can identify a computational task associated with the modular electronic device and identify one or more computing devices that are available to perform at least a portion of the computational task. The modular electronic device can obtain one or more sets of data associated with one or more computational resources of the computing devices. The modular electronic device can determine a potential benefit to the modular electronic device associated with the performance of the computational task by the computing devices. The modular electronic device can perform at least a portion of the computational task with the computing devices based, at least in part, on the sets of data associated with the computational resources and the potential benefit.

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