公开(公告)号：US20190303757A1

公开(公告)日：2019-10-03

申请号：US16221295

申请日：2018-12-14

Applicant: MediaTek Inc.

Inventor： Wei-Ting Wang ,  Han-Lin Li ,  Chih Chung Cheng ,  Shao-Yu Wang

IPC: G06N3/08 ,  G06F9/50 ,  G06N3/063 ,  G06F9/38

Abstract: A deep learning accelerator (DLA) includes processing elements (PEs) grouped into PE groups to perform convolutional neural network (CNN) computations, by applying multi-dimensional weights on an input activation to produce an output activation. The DLA also includes a dispatcher which dispatches input data in the input activation and non-zero weights in the multi-dimensional weights to the processing elements according to a control mask. The DLA also includes a buffer memory which stores the control mask which specifies positions of zero weights in the multi-dimensional weights. The PE groups generate output data of respective output channels in the output activation, and share a same control mask specifying same positions of the zero weights.