Abstract:
A parallel data processing method based on multiple graphic processing units (GPUs) is provided, including: creating, in a central processing unit (CPU), a plurality of worker threads for controlling a plurality of worker groups respectively, the worker groups including a plurality of GPUs; binding each worker thread to a corresponding GPU; loading one batch of training data from a nonvolatile memory to a GPU video memory corresponding to one worker group; transmitting, between a plurality of GPUs corresponding to one worker group, data required by data processing performed by the GPUs through peer to peer; and controlling the plurality of GPUs to perform data processing in parallel through the worker threads.
Abstract:
A method and a device for selecting data content to be pushed to a terminal are disclosed. In some embodiments, the method includes: acquiring a user identifier, and acquiring a characteristic value, corresponding to the user identifier, in a preset user attribute type; acquiring data content, and searching for a decision tree object corresponding to the data content; locating a leaf node corresponding to the user identifier in the decision tree object based on the characteristic value, corresponding to the user identifier, in the preset user attribute type; and acquiring the number of clicks and the number of pushes stored in the located leaf node, generating a selection reference value based on the number of clicks and the number of pushes, and selecting, based on the selection reference value, data content to be pushed to a terminal corresponding to the user identifier.
Abstract:
A parallel data processing method based on multiple graphic processing units (GPUs) is provided, including: creating, in a central processing unit (CPU), a plurality of worker threads for controlling a plurality of worker groups respectively, the worker groups including one or more GPUs; binding each worker thread to a corresponding GPU; loading a plurality of batches of training data from a nonvolatile memory to GPU video memories in the plurality of worker groups; and controlling the plurality of GPUs to perform data processing in parallel through the worker threads. The method can enhance efficiency of multi-GPU parallel data processing. In addition, a parallel data processing apparatus is further provided.
Abstract:
A parallel data processing method based on multiple graphic processing units (GPUs) is provided, including: creating, in a central processing unit (CPU), a plurality of worker threads for controlling a plurality of worker groups respectively, the worker groups including a plurality of GPUs; binding each worker thread to a corresponding GPU; loading one batch of training data from a nonvolatile memory to a GPU video memory corresponding to one worker group; transmitting, between a plurality of GPUs corresponding to one worker group, data required by data processing performed by the GPUs through peer to peer; and controlling the plurality of GPUs to perform data processing in parallel through the worker threads.
Abstract:
An information processing method includes generating identification information according to a preset manner, and displaying identification information on a multimedia interaction interface, identification information being capable of being scanned by clients so that the clients establish an association relationship with a first event presented on multimedia interaction interface; obtaining identifiers of the clients in association relationship with the first event based on results of clients' scanning of identification information, and establishing a first set of identifiers; when a condition is met, receiving requests from M clients, and identifying identifiers of M clients; screening, based on the first set of identifiers, the identifiers of M clients to obtain N client identifiers matched with any identifier in the first set of identifiers, wherein M and N are both positive integers, and M≧N; and outputting at least one client identifier of N client identifiers according to a preset rule.
Abstract:
A parallel data processing method based on multiple graphic processing units (GPUs) is provided, including: creating, in a central processing unit (CPU), a plurality of worker threads for controlling a plurality of worker groups respectively, the worker groups including one or more GPUs; binding each worker thread to a corresponding GPU; loading a plurality of batches of training data from a nonvolatile memory to GPU video memories in the plurality of worker groups; and controlling the plurality of GPUs to perform data processing in parallel through the worker threads. The method can enhance efficiency of multi-GPU parallel data processing. In addition, a parallel data processing apparatus is further provided.
Abstract:
A video processing method, apparatus, and device and a storage medium are provided. The method includes: monitoring an operation indication inputted by a user through a personal homepage on a social platform, the personal homepage being used for displaying personal information of the user; obtaining, when the operation indication is a shooting indication for shooting a personal status video, the personal status video; uploading the personal status video to a back-end server of the social platform; and displaying indication information of the personal status video in a personal-information display region of the personal homepage.