ACCELERATION OF 1X1 CONVOLUTIONS IN CONVOLUTIONAL NEURAL NETWORKS

    公开(公告)号:US20230418559A1

    公开(公告)日:2023-12-28

    申请号:US17847817

    申请日:2022-06-23

    CPC classification number: G06F7/523 G06F7/50

    Abstract: A convolutional accelerator includes a feature line buffer, a kernel buffer, a multiply-accumulate cluster, and mode control circuitry. In a first mode of operation, the mode control circuitry stores feature data in a feature line buffer and stores kernel data in a kernel buffer. The data stored in the buffers is transferred to the MAC cluster of the convolutional accelerator for processing. In a second mode of operation the mode control circuitry stores feature data in the kernel buffer and stores kernel data in the feature line buffer. The data stored in the buffers is transferred to the MAC cluster of the convolutional accelerator for processing. The second mode of operation may be employed to efficiently process 1×N kernels, where N is an integer greater than or equal to 1.

    High density array, in memory computing

    公开(公告)号:US11798615B2

    公开(公告)日:2023-10-24

    申请号:US17721956

    申请日:2022-04-15

    CPC classification number: G11C11/4085 G11C5/025 G11C11/4091 G11C11/4096

    Abstract: A memory cell that performs in-memory compute operations, includes a pair of cross-coupled inverters and a pair of transistors for selective performance of read/write/hold operations associated with logic states of the pair of cross-coupled inverters. The memory cell further includes a set of transistors that are gate coupled to and symmetrically arranged about the pair of cross coupled inverters. Output nodes of the memory cell are located at terminals of the set of transistors and provide output based on logic states of the pair of cross coupled inverters and input nodes provided between pairs of the set of transistors. A memory cell array may be generated having a high density arrangement memory cells that can perform in-memory compute operations. The memory cells can be arranged as a neural network including a set of memory cell networks that provide logic output operations based on logic states of the respective memory cells.

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