DEEP NEURAL NETWORK (DNN) ACCELERATORS WITH HETEROGENEOUS TILING

    公开(公告)号:EP4328802A1

    公开(公告)日:2024-02-28

    申请号:EP23186330.9

    申请日:2023-07-19

    申请人: INTEL Corporation

    摘要: An DNN accelerator includes one or more heterogenous tile sets. A heterogenous tile set includes tiles of different sizes, e.g., PE arrays including different numbers of columns or rows. The DNN accelerator may identify a tile set from the tile sets for running a DNN model based on dimensions of output tensors convolutional layers in the DNN. Within the selected tile set, a tile may be selected for a convolutional layer in the DNN, e.g., based on dimensions of the output tensor of the convolutional layer and the size of the tile. After the tile is selected, the workload for running a convolutional operation of the layer may be partitioned and assigned to individual PEs in the tile by partitioning the output tensor into output tensor segments. The workload of computing an individual output tensor segment can be assigned to an individual PE in the tile.