公开(公告)号：US20240211177A1

公开(公告)日：2024-06-27

申请号：US18345492

申请日：2023-06-30

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Wonik SEO ,  Dong-Uk RYU ,  Sungduk CHO

IPC: G06F3/06

CPC classification number: G06F3/0665 ,  G06F3/0604 ,  G06F3/0673

Abstract: A method including updating memory allocation information of a UVM based on block information of model data blocks used for an execution of a deep learning model by a deep learning framework, and performing a least recently used (LRU) eviction based on the updated memory allocation information.

公开(公告)号：US20250094346A1

公开(公告)日：2025-03-20

申请号：US18964849

申请日：2024-12-02

Applicant: Samsung Electronics Co., Ltd.

Inventor： Wonik SEO ,  Dong-uk RYU ,  Sungduk CHO

IPC: G06F12/08

Abstract: A method and apparatus for managing a unified virtual memory (UVM) are provided. The UVM is backed by a main processor memory and a coprocessor memory, and the method includes: checking properties of data blocks of the UVM used to execute a deep learning model; based on a first of the data blocks storing weight data of the deep learning model, storing the first data block in the main processor memory among the main processor memory and the coprocessor memory; and performing an operation of the deep learning model based on the first data block using a coprocessor while directly loading at least a portion of the first data block from the main processor memory into a cache memory of the coprocessor without migration of the first data block from the main processor memory to the coprocessor memory.

公开(公告)号：US20240220407A1

公开(公告)日：2024-07-04

申请号：US18343099

申请日：2023-06-28

Applicant: Samsung Electronics Co., Ltd.

Inventor： Wonik SEO ,  Dong-uk RYU ,  Sungduk CHO

IPC: G06F12/08 ,  G06N3/0455 ,  G06N3/084

CPC classification number: G06F12/08 ,  G06N3/0455 ,  G06N3/084

Abstract: A method and apparatus for managing a unified virtual memory (UVM) are provided. The UVM is backed by a main processor memory and a coprocessor memory, and the method includes: checking properties of data blocks of the UVM used to execute a deep learning model; based on a first of the data blocks storing weight data of the deep learning model, storing the first data block in the main processor memory among the main processor memory and the coprocessor memory; and performing an operation of the deep learning model based on the first data block using a coprocessor while directly loading at least a portion of the first data block from the main processor memory into a cache memory of the coprocessor without migration of the first data block from the main processor memory to the coprocessor memory.