公开(公告)号：US12260188B2

公开(公告)日：2025-03-25

申请号：US17254254

申请日：2020-11-30

Applicant: KOREA ELECTRONICS TECHNOLOGY INSTITUTE

Inventor： Dong Yeob Shin ,  Tae Beom Lim ,  Yong Seok Lim

IPC: G06F7/544 ,  G06F1/03

Abstract: The present invention relates to a pop count-based deep learning neural network computation method, a multiply accumulator, and a device thereof. The computation method according to an exemplary embodiment of the present invention is a computation method for a deep learning neural network, including a step of generating one-hot encoding codes according to the type of first multiplication result values for a multiplication (first multiplication) of weights (W) and input values (A); a step of performing a pop-count for each generated code; and a step of accumulating result values for a constant multiplication (second multiplication) between each type of the first multiplication result value and each count value of the pop-count which are different constant values.