Energy-Efficient Recurrent Neural Network Accelerator

    公开(公告)号:US20240354548A1

    公开(公告)日:2024-10-24

    申请号:US18302154

    申请日:2023-04-18

    CPC classification number: G06N3/0442 G06N3/048

    Abstract: Systems and methods are provided for a neural network that includes a multiply accumulate (MAC) unit that is configured to receive an input vector weight matrix; multiply the input matrix by the input vector weight matrix, generating input vector partial sums; receive time-delayed hidden vectors and a hidden vector weight matrix; and multiply the time-delayed hidden vectors and the hidden vector weight matrix, which generates hidden vector partial sums. An accumulator may be coupled to the MAC unit and configured to accumulate and add the input vector partial sums and the hidden vector partial sums, generating full sum vectors. The neural network may generate the time-delayed hidden vectors based on the full sum vectors. The neural network may further include a first selection device coupled to the MAC unit that is configured to select between the input matrix and the time-delayed hidden vectors for reception at the MAC unit.

    Memory system, operating method and controller

    公开(公告)号:US12210756B2

    公开(公告)日:2025-01-28

    申请号:US17740378

    申请日:2022-05-10

    Abstract: A memory system, an operating method and a controller are provided. The memory system comprises a memory array and a controller. The memory array comprises a probing memory block and a plurality of memory blocks. The controller is configured to perform; write a probing data to the probing memory block; detect a strength of the probing data from the probing memory block to obtain an aging condition of the memory array; and control each memory block to be enabled or disabled according to the aging condition.

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