DEEP LEARNING BASED SYSTEM AND METHOD FOR INLINE NETWORK ANALYSIS

    公开(公告)号:US20230239310A1

    公开(公告)日:2023-07-27

    申请号:US17586088

    申请日:2022-01-27

    摘要: Described herein are a device and a method for performing a network analysis. In one aspect, the device includes a reconfigurable neural network circuit to determine an indication of a predicted network characteristic. In one aspect, the reconfigurable neural network circuit includes a control circuit to select a packet attribute or a flow attribute of a raw packet stream from a pipeline, and determine a configuration setting corresponding to the packet attribute or the flow attribute. The configuration setting may indicate a configuration of the reconfigurable neural network circuit to implement a neural network. In one aspect, the reconfigurable neural network circuit includes a storage to provide neural network parameters of the neural network, according to the configuration setting. In one aspect, the reconfigurable neural network circuit includes computational circuits to perform computations based on the neural network parameters from the storage to determine the indication of the predicted network characteristic.

    READ ACCELERATOR CIRCUIT
    60.
    发明申请

    公开(公告)号:US20230133050A1

    公开(公告)日:2023-05-04

    申请号:US17518486

    申请日:2021-11-03

    IPC分类号: G11C7/06

    摘要: An accelerator circuit is provided that includes an inverter chain having an input coupled to a data line and a sense circuit having inputs coupled to an output of the inverter chain and the data line. The sense circuit is configured to sense a rise toward a supply voltage on the data line or a fall toward a ground voltage on the data line. The accelerator circuit further includes an amplify circuit having inputs coupled to outputs of the sense circuit and an output coupled to the data line, where the amplify circuit is configured to amplify the data line toward the supply voltage or toward the ground voltage based on amplify enable signals output by the sense circuit.