公开(公告)号：US11977928B2

公开(公告)日：2024-05-07

申请号：US16454128

申请日：2019-06-27

Applicant: Samsung Electronics Co., Ltd.

Inventor： Deokjin Joo ,  Namjoon Kim

IPC: G06F9/50 ,  G06N3/04

CPC classification number: G06F9/5083 ,  G06F9/5027 ,  G06N3/04

Abstract: A method of performing an operation in a neural network apparatus may include acquiring operation groups each comprising at least one input feature map and at least one kernel, and tag information corresponding to each of the operation groups, determining an operating unit in an idle state from among operating units, performing, at the operating unit in the idle state, a convolution operation between an input feature map and a kernel included in a operation group from among the operation groups to create an intermediate feature map, determining, based on tag information corresponding to the operation group, a post-processing unit from among post-processing units, and creating, at the post-processing unit, an output feature map using the intermediate feature map.

公开(公告)号：US11853888B2

公开(公告)日：2023-12-26

申请号：US18089696

申请日：2022-12-28

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Joonho Song ,  Namjoon Kim ,  Sehwan Lee ,  Deokjin Joo

IPC: G06N3/08 ,  G06F7/74 ,  G06N20/00

CPC classification number: G06N3/08 ,  G06F7/74 ,  G06N20/00

Abstract: A processor-implemented method of performing convolution operations in a neural network includes generating a plurality of first sub-bit groups and a plurality of second sub-bit groups, respectively from at least one pixel value of an input feature map and at least one predetermined weight, performing a convolution operation on a first pair that includes a first sub-bit group including a most significant bit (MSB) of the at least one pixel value and a second sub-bit group including an MSB of the at least one predetermined weight, based on the plurality of second sub-bit groups, obtaining a maximum value of a sum of results for convolution operations of remaining pairs excepting the first pair, and based on a result of the convolution operation on the first pair and the maximum value, determining whether to perform the convolution operations of the remaining pairs.

公开(公告)号：US11568243B2

公开(公告)日：2023-01-31

申请号：US16704290

申请日：2019-12-05

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Joonho Song ,  Namjoon Kim ,  Sehwan Lee ,  Deokjin Joo

IPC: G06N3/08 ,  G06F7/74 ,  G06N20/00

Abstract: A processor-implemented method of performing convolution operations in a neural network includes generating a plurality of first sub-bit groups and a plurality of second sub-bit groups, respectively from at least one pixel value of an input feature map and at least one predetermined weight, performing a convolution operation on a first pair that includes a first sub-bit group including a most significant bit (MSB) of the at least one pixel value and a second sub-bit group including an MSB of the at least one predetermined weight, based on the plurality of second sub-bit groups, obtaining a maximum value of a sum of results for convolution operations of remaining pairs excepting the first pair, and based on a result of the convolution operation on the first pair and the maximum value, determining whether to perform the convolution operations of the remaining pairs.