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Title:
3次元ネットワークオンチップによるスパイキングニューラルネットワーク
Document Type and Number:
Japanese Patent JP7277682
Kind Code:
B2
Abstract:
To provide a spiking neural network by multicast spike routing algorithm that leverages the unique 3D structure of a brain and reduces communication delay between neurons for enabling seamless implementation of a large-scale SNN (Spiking Neural Network)-based computing system.SOLUTION: A spiking neural network randomly determines a plurality of barycenters, calculates distances from each of a plurality of transmission destination routers implemented in a 3D network on-chip to each of the barycenters, assigns the plurality of transmission destination routers to any of a plurality of subgroups corresponding to the respective barycenters based on the calculated distances, re-determines a plurality of barycenters based on an assignment result, identifies a transmission path of a packet based on the re-determined barycenters, and transmits the packet using the identified transmission path.SELECTED DRAWING: Figure 2

Inventors:
Ben Abdullah Abdelazek
vou phi te
Masayuki Hisada
Application Number:
JP2019124541A
Publication Date:
May 19, 2023
Filing Date:
July 03, 2019
Export Citation:
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Assignee:
Public University Corporation University of Aizu
International Classes:
H04L49/201; G06N3/04; G06N3/063; H04L45/12; H04L45/24
Domestic Patent References:
JP2019505065A
JP2019092020A
JP2015119387A
JP2010199972A
JP2007221428A
JP7239834A
Foreign References:
WO2019026523A1
US20070097951
CN106161270A
Other References:
大崎 功一 Koichi OHSAKI,多対多マルチキャストにおけるメンバークラスタリング手法 A Member-Clustering Scheme for Many to Many Multicast,情報処理学会研究報告 Vol.2001 No.59 IPSJ SIG Notes,日本,社団法人情報処理学会 Information Processing Society of Japan,2001年06月08日,第2001巻,pp. 101-106
Attorney, Agent or Firm:
Kenji Doi
Tsunenori Hayashi



 
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