ANALOG SWITCHED-CAPACITOR NEURAL NETWORK
    1.
    发明申请

    公开(公告)号:US20190080231A1

    公开(公告)日:2019-03-14

    申请号:US16125621

    申请日:2018-09-07

    Abstract: Systems and methods are provided for reducing power in in-memory computing, matrix-vector computations, and neural networks. An apparatus for in-memory computing using charge-domain circuit operation includes transistors configured as memory bit cells, transistors configured to perform in-memory computing using the memory bit cells, capacitors configured to store a result of in-memory computing from the memory bit cells, and switches, wherein, based on a setting of each of the switches, the charges on at least a portion of the plurality of capacitors are shorted together. Shorting together the plurality of capacitors yields a computation result.

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