公开(公告)号：US20220076102A1

公开(公告)日：2022-03-10

申请号：US17417189

申请日：2020-06-29

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Arun ABRAHAM ,  Akshay PARASHAR ,  Suhas P K ,  Vikram Nelvoy RAJ END IRAN

IPC: G06N3/04

Abstract: A method of managing deep neural network (DNN) models on a device is provided. The method includes extracting information associated with each of a plurality of DNN models, identifying, from the information, common information which is common across the plurality of DNN models, separating and storing the common information into a designated location in the device, and controlling at least one DNN model among the plurality of DNN models to access the common information.

公开(公告)号：US20210232921A1

公开(公告)日：2021-07-29

申请号：US17159598

申请日：2021-01-27

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Akshay PARASHAR ,  Arun ABRAHAM ,  Payal ANAND ,  Deepthy RAVI ,  Venkappa MALA ,  Vikram Nelvoy RAJENDIRAN

IPC: G06N3/08 ,  G06N3/063 ,  G06F9/30 ,  G06F9/38 ,  G06F9/48

Abstract: A method, an apparatus, and a system for configuring a neural network across heterogeneous processors are provided. The method includes creating a unified neural network profile for the plurality of processors; receiving at least one request to perform at least one task using the neural network; determining a type of the requested at least one task as one of an asynchronous task and a synchronous task; and parallelizing processing of the neural network across the plurality of processors to perform the requested at least one task, based on the type of the requested at least one task and the created unified neural network profile.