DYNAMIC QUALITY OF SERVICE MANAGEMENT FOR DEEP LEARNING TRAINING COMMUNICATION

    公开(公告)号:US20210304025A1

    公开(公告)日:2021-09-30

    申请号:US16828729

    申请日:2020-03-24

    Applicant: Facebook, Inc.

    Abstract: A processor analyzes a machine learning workload. Corresponding priority levels are assigned to identified data requests in the machine learning workload based on an associated data dependency delay performance impact. The assigned corresponding priority levels are indicated when providing the data requests to a memory controller. The memory controller sorts the received data requests into a plurality of different priority queues based on the indicated corresponding priority levels. The memory controller initiates the data requests from the different priority queues to memory in an order based on different qualities of service of the different priority queues.

    Real-time feedback of advertisement review

    公开(公告)号:US11132719B2

    公开(公告)日:2021-09-28

    申请号:US13756360

    申请日:2013-01-31

    Applicant: Facebook, Inc.

    Abstract: As components of an advertisement are received by an online system, the online system determines whether the received components satisfy one or more policies of the online system. If a component does not satisfy a policy of the online system, the user providing the components is notified when the component is provided, allowing the user to modify the component. Additionally, stored data describing previously analyzed components are compared to received components, and the stored data is used if the received component matches a previously analyzed component This process expedites approval of advertisements by the online system.

    Scalable, secure, efficient, and adaptable distributed digital ledger transaction network

    公开(公告)号:US11126593B2

    公开(公告)日:2021-09-21

    申请号:US16442475

    申请日:2019-06-15

    Applicant: Facebook, Inc.

    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable storage media for implementing a scalable, secure, efficient, and adaptable distributed digital ledger transaction network. Indeed, the disclosed systems can reduce storage and processing requirements, improve security of implementing computing devices and underlying digital assets, accommodate a wide variety of different digital programs (or “smart contracts”), and scale to accommodate billions of users and associated digital transactions. For example, the disclosed systems can utilize a host of features that improve storage, account/address management, digital transaction execution, consensus, and synchronization processes. The disclosed systems can also utilize a new programming language that improves efficiency and security of the distributed digital ledger transaction network.

    Systems and methods for sharing content

    公开(公告)号:US11126344B2

    公开(公告)日:2021-09-21

    申请号:US16254529

    申请日:2019-01-22

    Applicant: Facebook, Inc.

    Abstract: Systems, methods, and non-transitory computer-readable media can provide an interface for associating selected musical content with visual content to be shared through a social networking system. A main playback scrubber for navigating to different parts of the selected musical content can be provided in the interface. A precision playback scrubber for identifying a portion of the selected musical content to be associated with the visual content being shared can be provided in the interface with more precision than the main playback scrubber.

    CAPTURING A CLUSTER EFFECT WITH TARGETED DIGITAL-CONTENT EXPOSURES

    公开(公告)号:US20210279507A1

    公开(公告)日:2021-09-09

    申请号:US17101896

    申请日:2020-11-23

    Applicant: Facebook, Inc.

    Abstract: This disclosure covers methods, non-transitory computer readable media, and systems that determine a cluster effect representing the impact that a user's digital-content exposure has on other users' conversion actions. The disclosed methods, non-transitory computer readable media, and systems detect the downloads, purchases, or other forms of consumption of a featured item that result from users within the same cluster viewing digital content featuring the item. In some embodiments, the methods, non-transitory computer readable media, and systems apply the cluster effect by, for example, generating a conversion report representing the cluster effect or by providing tools that exploit the cluster effect in distributing digital content.

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