公开(公告)号：US20250123971A1

公开(公告)日：2025-04-17

申请号：US18755026

申请日：2024-06-26

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jungsik CHOI ,  Ruth KIM ,  Seok-Young YOON

IPC: G06F12/1036 ,  G06F12/0873

Abstract: A processor-implemented method includes receiving a mapping instruction to map target data onto a process address space, in response to reception of the mapping instruction, marking an unused node in a tree that manages the process address space as a use node to reuse, and mapping the target data onto a virtual area in the process address space, wherein the tree manages the virtual area onto which the target data is mapped as the use node.

公开(公告)号：US20240193406A1

公开(公告)日：2024-06-13

申请号：US18501135

申请日：2023-11-03

Applicant: SAMSUNG ELECTRONICS CO., LTD. ,  Seoul National University R&DB Foundation

Inventor： Seok-Young YOON ,  Bernhard EGGER ,  Hyemi MIN ,  Jungyoon KWON ,  Jaume Mateu CUADRAT

IPC: G06N3/0464

CPC classification number: G06N3/0464

Abstract: A method and apparatus with scheduling a neural network (NN), which relate to extracting and scheduling priorities of operation sets, are provided. A scheduler may be configured to receive a loop structure corresponding to a NN model, generate a plurality of operation sets based on the loop structure, generate a priority table for the operation sets based on memory benefits of the operation sets, and schedule the operation sets based on the priority table.

公开(公告)号：US20240202527A1

公开(公告)日：2024-06-20

申请号：US18353432

申请日：2023-07-17

Applicant: SAMSUNG ELECTRONICS CO., LTD. ,  Seoul National University R&DB Foundation

Inventor： Seok-Young YOON ,  Bernhard EGGER ,  Hyemi MIN ,  Jaume Mateu CUADRAT

IPC: G06N3/082 ,  G06N3/04

CPC classification number: G06N3/082 ,  G06N3/04

Abstract: A method of processing data is performed by a computing device including processing hardware and storage hardware, the method including: converting, by the processing hardware, a neural network, stored in the storage hardware, from a first neural network format into a second neural network format; obtaining, by the processing hardware, information about hardware configured to perform a neural network operation for the neural network and obtaining partition information; dividing the neural network in the second neural network format into partitions, wherein the dividing is based on the information about the hardware and the partition information, wherein each partition includes a respective layer with an input thereto and an output thereof; optimizing each of the partitions based on a relationship between the input and the output of the corresponding layer; and converting the optimized partitions into the first neural network format.

公开(公告)号：US20240185077A1

公开(公告)日：2024-06-06

申请号：US18320896

申请日：2023-05-19

Applicant: SAMSUNG ELECTRONICS CO., LTD. ,  Seoul National University R&DB Foundation

Inventor： Seok-Young YOON ,  Bernhard EGGER ,  Daon PARK ,  Jungyoon KWON ,  Hyemi MIN

IPC: G06N3/086

CPC classification number: G06N3/086

Abstract: Apparatuses and methods for drawing a quantization configuration are disclosed, where A method may include generating genes by cataloging possible combinations of a quantization precision and a calibration method for each of layers of a pre-trained neural network, determining layer sensitivity for each of the layers based on combinations corresponding to the genes, determining priorities of the genes and selecting some of the genes based on the respective priority of the genes, generating progeny genes by performing crossover on the selected genes, calculating layer sensitivity for each of the layers corresponding to a combination of the crossover, and updating one or more of the genes using the progeny genes based on a comparison of layer sensitivity of the genes and layer sensitivity of the progeny genes.