ARITHMETIC APPARATUS, OPERATING METHOD THEREOF, AND NEURAL NETWORK PROCESSOR

    公开(公告)号:US20250077182A1

    公开(公告)日:2025-03-06

    申请号:US18953922

    申请日:2024-11-20

    Abstract: An arithmetic apparatus includes a first operand holding circuit configured to output a first operand according to a clock signal, generate an indicator signal based on bit values of high-order bit data including a most significant bit of the first operand, and gate the clock signal based on the indicator signal, the clock signal being applied to a flip-flop latching the high-order bit data of the first operand; a second operand holding circuit configured to output a second operand according to the clock signal; and an arithmetic circuit configured to perform data gating on the high-order bit data of the first operand based on the indicator signal and output an operation result by performing an operation using a modified first operand resulting from the data gating and the second operand.

    METHOD AND APPARATUS FOR ALLOCATING MEMORY SPACE FOR DRIVING NEURAL NETWORK

    公开(公告)号:US20210365194A1

    公开(公告)日:2021-11-25

    申请号:US17394447

    申请日:2021-08-05

    Inventor: Joonho SONG

    Abstract: A method of allocating a memory for driving a neural network including obtaining first capacity information of a space to store an input feature map of a first layer from among the layers of the neural network, and second capacity information of a space to store an output feature map of the first layer, and allocating a first storage space to store the input feature map in the memory based on an initial address value of the memory and the first capacity information and a second storage space to store the output feature map in the memory based on a last address value of the memory and the second capacity information.

    ARITHMETIC APPARATUS, OPERATING METHOD THEREOF, AND NEURAL NETWORK PROCESSOR

    公开(公告)号:US20210174179A1

    公开(公告)日:2021-06-10

    申请号:US16989391

    申请日:2020-08-10

    Abstract: An arithmetic apparatus includes a first operand holding circuit configured to output a first operand according to a clock signal, generate an indicator signal based on bit values of high-order bit data including a most significant bit of the first operand, and gate the clock signal based on the indicator signal, the clock signal being applied to a flip-flop latching the high-order bit data of the first operand; a second operand holding circuit configured to output a second operand according to the clock signal; and an arithmetic circuit configured to perform data gating on the high-order bit data of the first operand based on the indicator signal and output an operation result by performing an operation using a modified first operand resulting from the data gating and the second operand.

    METHOD AND APPARATUS FOR PROCESSING CONVOLUTION OPERATION IN NEURAL NETWORK

    公开(公告)号:US20190171930A1

    公开(公告)日:2019-06-06

    申请号:US16158660

    申请日:2018-10-12

    Abstract: Provided are a method and apparatus for processing a convolution operation in a neural network, the method includes determining operands from input feature maps and kernels, on which a convolution operation is to be performed, dispatching operand pairs combined from the determined operands to multipliers in a convolution operator, generating outputs by performing addition and accumulation operations with respect to results of multiplication operations, and obtaining pixel values of output feature maps corresponding to a result of the convolution operation based on the generated outputs.

    METHOD AND APPARATUS WITH NEURAL NETWORK PERFORMING DECONVOLUTION

    公开(公告)号:US20190138898A1

    公开(公告)日:2019-05-09

    申请号:US16107717

    申请日:2018-08-21

    Abstract: A neural network apparatus configured to perform a deconvolution operation includes a memory configured to store a first kernel; and a processor configured to: obtain, from the memory, the first kernel; calculate a second kernel by adjusting an arrangement of matrix elements comprised in the first kernel; generate sub-kernels by dividing the second kernel; perform a convolution operation between an input feature map and the sub-kernels using a convolution operator; and generate an output feature map, as a deconvolution of the input feature map, by merging results of the convolution operation.

    THREE-DIMENSIONAL STACKED MEMORY DEVICE AND METHOD

    公开(公告)号:US20220310194A1

    公开(公告)日:2022-09-29

    申请号:US17840722

    申请日:2022-06-15

    Abstract: A three-dimensional stacked memory device includes a buffer die having a plurality of core die memories stacked thereon. The buffer die is configured as a buffer to occupy a first space in the buffer die. The first memory module, disposed in a second space unoccupied by the buffer, is configured to operate as a cache of the core die memories. The controller is configured to detect a fault in a memory area corresponding to a cache line in the core die memories based on a result of a comparison between data stored in the cache line and data stored in the memory area corresponding to the cache line in the core die memories. The second memory module, disposed in a third space unoccupied by the buffer and the first memory module, is configured to replace the memory area when the fault is detected in the memory area.

    METHOD AND APPARATUS WITH NEURAL NETWORK PERFORMING DECONVOLUTION

    公开(公告)号:US20210117791A1

    公开(公告)日:2021-04-22

    申请号:US17112041

    申请日:2020-12-04

    Abstract: A neural network apparatus configured to perform a deconvolution operation includes a memory configured to store a first kernel; and a processor configured to: obtain, from the memory, the first kernel; calculate a second kernel by adjusting an arrangement of matrix elements comprised in the first kernel; generate sub-kernels by dividing the second kernel; perform a convolution operation between an input feature map and the sub-kernels using a convolution operator; and generate an output feature map, as a deconvolution of the input feature map, by merging results of the convolution operation.

    THREE-DIMENSIONAL STACKED MEMORY DEVICE AND METHOD

    公开(公告)号:US20200210296A1

    公开(公告)日:2020-07-02

    申请号:US16456094

    申请日:2019-06-28

    Abstract: A three-dimensional stacked memory device includes a buffer die having a plurality of core die memories stacked thereon. The buffer die is configured as a buffer to occupy a first space in the buffer die. The first memory module, disposed in a second space unoccupied by the buffer, is configured to operate as a cache of the core die memories. The controller is configured to detect a fault in a memory area corresponding to a cache line in the core die memories based on a result of a comparison between data stored in the cache line and data stored in the memory area corresponding to the cache line in the core die memories. The second memory module, disposed in a third space unoccupied by the buffer and the first memory module, is configured to replace the memory area when the fault is detected in the memory area.

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