SYSTEM AND METHOD FOR INCREASING UTILIZATION OF DOT-PRODUCT BASED NEURAL NETWORK ACCELERATOR

    公开(公告)号:US20210326682A1

    公开(公告)日:2021-10-21

    申请号:US16900852

    申请日:2020-06-12

    Abstract: A method of flattening channel data of an input feature map in an inference system includes retrieving pixel values of a channel of a plurality of channels of the input feature map from a memory and storing the pixel values in a buffer, extracting first values of a first region having a first size from among the pixel values stored in the buffer, the first region corresponding to an overlap region of a kernel of the inference system with channel data of the input feature map, rearranging second values corresponding to the overlap region of the kernel from among the first values in the first region, and identifying a first group of consecutive values from among the rearranged second values for supplying to a first dot-product circuit of the inference system.

    Signed multiplication using unsigned multiplier with dynamic fine-grained operand isolation

    公开(公告)号:US10963220B2

    公开(公告)日:2021-03-30

    申请号:US16276582

    申请日:2019-02-14

    Abstract: An N×N multiplier may include a N/2×N first multiplier, a N/2×N/2 second multiplier, and a N/2×N/2 third multiplier. The N×N multiplier receives two operands to multiply. The first, second and/or third multipliers are selectively disabled if an operand equals zero or has a small value. If the operands are both less than 2N/2, the second or the third multiplier are used to multiply the operands. If one operand is less than 2N/2 and the other operand is equal to or greater than 2N/2, the first multiplier is used or the second and third multipliers are used to multiply the operands. If both operands are equal to or greater than 2N/2, the first, second and third multipliers are used to multiply the operands.

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