公开(公告)号：US20250147663A1

公开(公告)日：2025-05-08

申请号：US18935895

申请日：2024-11-04

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Chang-Dae KIM ,  Kwang-Won Koh ,  Tae-Hoon Kim ,  Eun-Ji Pak ,  Yeon-Jeong Jeong

IPC: G06F3/06

Abstract: Disclosed herein is an apparatus and method for processing write-on-copy for supporting a fork in a memory disaggregation system. The method includes, when a child process is generated in the event of a fork, processing the fork by copying a page table for disaggregated memory of a parent process to the child process and setting write protection on a page of the disaggregated memory; and processing write access to the write-protected page. Processing the write access may use at least one of a first handler corresponding to access to the write-protected page mapped to the page table, or a second handler corresponding to the write access to the write-protected page that is not mapped to the page table, or a combination thereof.

公开(公告)号：US11630992B2

公开(公告)日：2023-04-18

申请号：US16894276

申请日：2020-06-05

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Yong-Joo Kim ,  Tae-Ho Kim ,  Eun-Ji Pak ,  Young-Mok Ha

IPC: G06N3/08 ,  G06N3/063 ,  G06N3/02

Abstract: Disclosed herein are a neural network generation method for neuromorphic computing and an apparatus for the same. The neural network generation method for neuromorphic computing includes selecting at least one part of a brain corresponding to a neural network function requested to be generated by an application, determining whether an existing neural network corresponding to the at least one part of the brain is present in a neural network database, when it is determined that no existing neural network is present in the neural network database, generating new neural network configuration information corresponding to the part of the brain based on a brain information database, generating a new neural network by mapping the new neural network configuration information to neuromorphic hardware based on the new neural network configuration information, and storing the new neural network in the neural network database.