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    PARTIAL FILE SYSTEM INSTANCES
    14.
    发明申请
    PARTIAL FILE SYSTEM INSTANCES 审中-公开

    公开(公告)号：US20200250232A1

    公开(公告)日：2020-08-06

    申请号：US16263390

    申请日：2019-01-31

    Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

    Inventor： Suparna Bhattacharya ,  Annmary Justine Koomthanam ,  John Michael Czerkowicz

    IPC: G06F16/901 ,  G06F16/908 ,  G06F16/27 ,  G06F16/188 ,  G06F9/455

    Abstract: Example implementations relate to partial file system instances. In an example, a subset of objects of a source file system instance on a source system are replicated to a target system to form a partial file system instance on the target system comprised of the subset of objects. Each of the objects of the source file system instance is identified by a signature based on content of each of the objects and the objects exhibit a hierarchical relationship to a root object in the file system instance. An unmaterialized object is dynamically added to the partial file system instance by replicating the corresponding object from the source file system instance. The target system is asynchronously updated from the source file system instance based on a comparison of the partial file system instance to the source file system instance.

    PERFORMING A COMPUTATION USING PROVENANCE DATA
    16.
    发明申请
    PERFORMING A COMPUTATION USING PROVENANCE DATA 审中-公开

    公开(公告)号：US20180217883A1

    公开(公告)日：2018-08-02

    申请号：US15473894

    申请日：2017-03-30

    Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

    Inventor： Muthukumar Murugan ,  Suparna Bhattacharya ,  Douglas L. Voigt ,  Ancy Sarah Tom

    IPC: G06F9/54 ,  G06F9/48

    Abstract: Example implementations relate to performing computations using provenance data. An example implementation includes storing first lineage data of a first dataset and provenance data of an application operating on the first dataset in a storage system. A computing resource may determine whether second lineage data of a second dataset meets a similarity criterion with the first lineage data of the first dataset. A computation on the second dataset may be performed using the provenance data of the application, and an insight of the second dataset may be generated from the performed computation.

    SYSTEMS AND METHODS FOR DATA-AWARE STORAGE TIERING FOR DEEP LEARNING
    19.
    发明申请
    SYSTEMS AND METHODS FOR DATA-AWARE STORAGE TIERING FOR DEEP LEARNING 有权

    公开(公告)号：US20220327376A1

    公开(公告)日：2022-10-13

    申请号：US17226917

    申请日：2021-04-09

    Applicant: Hewlett Packard Enterprise Development LP

    Inventor： Cong Xu ,  Suparna Bhattacharya ,  Paolo Faraboschi

    IPC: G06N3/08 ,  G06F16/21 ,  G06N3/063 ,  G06N3/04

    Abstract: Systems and methods are configured to split an epoch associated with a training dataset into a plurality of mini-epochs. A machine learning model can be trained with a mini-epoch of the plurality of mini-epochs. The mini-epoch can be, during the training, iterated for a number of times during the training. One or more metrics reflective of at least one of: a training loss, training accuracy, or validation accuracy of the machine learning model associated with the mini-epoch can be received. Whether to terminate iterations of the mini-epoch early before a number of iterations of the mini-epoch reaches the number of times based on the one or more metrics can be determined. The number of iterations can be a non-zero number.

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