SYSTEM AND METHOD FOR NEURAL NETWORK MULTIPLE TASK ADAPTATION

    公开(公告)号:US20240037394A1

    公开(公告)日:2024-02-01

    申请号:US18360140

    申请日:2023-07-27

    IPC分类号: G06N3/08 G06N3/04 G06N3/063

    CPC分类号: G06N3/08 G06N3/04 G06N3/063

    摘要: A neural network accelerator architecture for multiple task adaptation comprises a volatile memory comprising a plurality of subarrays, each subarray comprising M rows and N columns of volatile memory cells; a source line driver connected to a plurality of N source lines, each source line corresponding to a column in the subarray; a binary mask buffer memory having size at least N bits, each bit corresponding to a column in the subarray, where a 0 corresponds to turning off the column for a convolution operation and a 1 corresponds to turning on the column for the convolution operation; and a controller configured to selectively drive each of the N source lines with a corresponding value from the mask buffer; wherein each column in the subarray is configured to store a convolution kernel.