公开(公告)号：US20240232282A1

公开(公告)日：2024-07-11

申请号：US18482524

申请日：2023-10-06

Applicant: Samsung Electronics Co., Ltd.

Inventor： Cheolgyu JIN ,  Jinhwan BAIK ,  Jaeun PARK ,  Jonghun LEE

IPC: G06F17/15

CPC classification number: G06F17/15

Abstract: An electronic apparatus is provided. The electronic device includes acquiring padding data corresponding to the input data in case of acquiring a convolution calculation instruction for the input data, identifying a calculation processing unit based on a size of the buffer and a size of the padding data, classifying the input data and the padding data into a plurality of target regions based on the calculation processing unit and the sizes of the buffers, storing one target region among the plurality of target regions in the first buffer, the second buffer or the third buffer, acquiring target data for the convolution calculation convolution calculation based on the calculation processing unit and the plurality of target regions, and controlling the convolution calculation module to perform the convolution calculation convolution calculation based on the target data and kernel data.

公开(公告)号：US20220150898A1

公开(公告)日：2022-05-12

申请号：US17572973

申请日：2022-01-11

Applicant: Samsung Electronics Co., Ltd.

Inventor： Cheolgyu JIN ,  Changbae YOON

IPC: H04W72/04 ,  H04W72/12

Abstract: A method, performed by a network entity, of executing a software package in a wireless communication system, is provided. The method includes identifying package information of each of a plurality of software packages and graphics processing unit (GPU) state information used by the plurality of software packages with respect to a plurality of user equipments (UEs) connected to the network entity, when a workload of at least one of the plurality of packages is changed, determining to change a GPU usage profile, based on the package information and the GPU state information, determining the number of packages to process the workload, identifications (IDs) of GPUs to be allocated to the packages, and usage locations of the GPUs, based on the package information and the GPU state information, updating the GPU usage profile, according to the determined IDs of the GPUs and the determined usage locations of the GPUs, and allocating the GPUs to the plurality of software packages, based on the updated GPU usage profile.