PROCESSING COMPUTATIONAL MODELS IN PARALLEL
    1.
    发明申请

    公开(公告)号:US20200250509A1

    公开(公告)日:2020-08-06

    申请号:US16777729

    申请日:2020-01-30

    Abstract: The present disclosure relates to an artificial intelligence chip for processing computations for machine learning models that provides a compute node and a method of processing a computational model using a plurality of compute nodes in parallel. In some embodiments, the compute node, comprises: a communication interface configured to communicate with one or more other compute nodes; a memory configured to store shared data that is shared with the one or more other compute nodes; and a processor configured to: determine an expected computational load for processing a computational model for input data; obtain a contributable computational load of the compute node and the one or more other compute nodes; and select a master node to distribute the determined expected computational load based on the obtained contributable computational load. Consequently, learning and inference can be performed efficiently on-device.

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