Title:
分散深層学習システムおよびデータ転送方法
Document Type and Number:
Japanese Patent JP7287492
Kind Code:
B2
Abstract:
Provided is a distributed deep learning system including a plurality of distributed processing nodes, in which each of the plurality of distributed processing nodes includes a header reading unit configured to read pieces of layer information of headers of a first data frame that has arrived at an own node and a second data frame that has arrived next, and in which the pieces of layer information are compared with each other, calculation processing is executed for a data frame including data that belongs to a layer closer to an input layer, and calculation processing for a data frame including data that belongs to a layer closer to an output layer is skipped.
Inventors:
Akiji Tanaka
Yuki Arikawa
Kenji Kawai
Junichi Kato
Takeshi Ito
Go Fiku
Ken Sakamoto
Yuki Arikawa
Kenji Kawai
Junichi Kato
Takeshi Ito
Go Fiku
Ken Sakamoto
Application Number:
JP2021555693A
Publication Date:
June 06, 2023
Filing Date:
November 13, 2019
Export Citation:
Assignee:
Nippon Telegraph and Telephone Corporation
International Classes:
G06N3/08
Domestic Patent References:
| JP201949916A |
Other References:
Bringing HPC Techniques to Deep Learning,Baidu Research [online],2017年,all 15 pages,Retrieved from the Internet: ,[retrieved on 2020.03.18]
Attorney, Agent or Firm:
Shigeki Yamakawa
Yuzo Koike
Masaki Yamakawa
Yasushi Motoyama
Yuzo Koike
Masaki Yamakawa
Yasushi Motoyama