DEVICE AND METHOD WITH FLEXIBLE NEURAL NETWORK

    公开(公告)号:US20240249110A1

    公开(公告)日:2024-07-25

    申请号:US18344201

    申请日:2023-06-29

    CPC classification number: G06N3/04

    Abstract: A device includes: an operation module configured to store and operate a weight for an operation of a layer of a neural network model; a control module configured to generate setting information for performing the operation of the layer by the neural network model using the stored weight; an input module configured to receive input data for the operation of the layer based on the generated setting information; a merging module configured to receive operation results of the operation of the layer from the operation module and merge the received operation results of the layer; a post-processing module configured to receive the merged operation results of the layer from the merging module and post-process the received merged operation results of the layer; and an output stream module configured to convert and store the post-processed operation results based on the generated setting information.

    DEVICE AND METHOD WITH IN-MEMORY COMPUTING
    13.
    发明公开

    公开(公告)号:US20240231757A9

    公开(公告)日:2024-07-11

    申请号:US18322837

    申请日:2023-05-24

    CPC classification number: G06F7/5443 G06F7/556

    Abstract: A memory device includes: a computing module; and an in-memory computing (IMC) macro comprising: a memory comprising a plurality of bit cells storing pieces of fraction data of a first data set; and an IMC computing module configured to perform an operation between the pieces of fraction data of the first data set read from the memory and pieces of fraction data of a second data set received from an input control module, wherein a plurality of pieces of data included in the first data set share a first exponent, and wherein a plurality of pieces of data included in the second data set share a second exponent.

    DEVICE AND METHOD WITH IN-MEMORY COMPUTING
    14.
    发明公开

    公开(公告)号:US20240134606A1

    公开(公告)日:2024-04-25

    申请号:US18322837

    申请日:2023-05-23

    CPC classification number: G06F7/5443 G06F7/556

    Abstract: A memory device includes: a computing module; and an in-memory computing (IMC) macro comprising: a memory comprising a plurality of bit cells storing pieces of fraction data of a first data set; and an IMC computing module configured to perform an operation between the pieces of fraction data of the first data set read from the memory and pieces of fraction data of a second data set received from an input control module, wherein a plurality of pieces of data included in the first data set share a first exponent, and wherein a plurality of pieces of data included in the second data set share a second exponent.

    METHOD AND APPARATUS FOR OPERATING MEMORY PROCESSOR

    公开(公告)号:US20240103809A1

    公开(公告)日:2024-03-28

    申请号:US18139567

    申请日:2023-04-26

    CPC classification number: G06F7/507 G06F7/504 G06F7/5443

    Abstract: Provided is a computation method of a memory processor configured to perform an operation between a first vector including first elements and a second vector including second elements, the first elements including respective first bits and the second elements including respective second bits, the method performed by the memory processor including: applying, to single-bit operation gates, the respective first bits and the respective second bits; obtaining bit operation result sum values for the respective first and second elements based on bit operation results obtained using the single-bit operation gates; and obtaining an operation result of the first vector and the second vector based on the bit operation result sum value.

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