Presentation 2017-07-27
A study on Network Structure and Parameter Exchange Method in large-scale Cluster for Machine Learning
Duo Zhang, Mingxi Li, Yusuke Tanimura, Hidemoto Nakada,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) For modern machine learning systems, including deep learning systems, parallelization is inevitable since they are required to process massive amount of training data. One of the hot area of this area is the data parallel learning where multiple nodes cooperate each other exchanging parameter / gradient periodically. In this paper, we focus on the network resource requirement for this kind of application. We investigate 3-layered Clos network and omega-network adding to the 2-layered fat tree network which we have already reported. As parameter exchange method, we tested direct parameter exchange method and centralized server method. We evaluated these three types of network with SimGrid, a simulator for distributed environment, and confirmed that with suitable parameter exchange methods, we can maintain performance with higher over subscription factor.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Machine learningParameter ServerSimulationClos network
Paper # CPSY2017-29
Date of Issue 2017-07-19 (CPSY)

Conference Information
Committee CPSY / DC / IPSJ-ARC
Conference Date 2017/7/26(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Akita Atorion-Building (Akita)
Topics (in Japanese) (See Japanese page)
Topics (in English) Parallel, Distributed and Cooperative Processing
Chair Koji Nakano(Hiroshima Univ.) / Michiko Inoue(NAIST)
Vice Chair Hidetsugu Irie(Univ. of Tokyo) / Takashi Miyoshi(Fujitsu) / Satoshi Fukumoto(Tokyo Metropolitan Univ.)
Secretary Hidetsugu Irie(Utsunomiya Univ.) / Takashi Miyoshi(Hokkaido Univ.) / Satoshi Fukumoto(Kyoto Sangyo Univ.) / (Tokyo Inst. of Tech.)
Assistant Yasuaki Ito(Hiroshima Univ.) / Tomoaki Tsumura(Nagoya Inst. of Tech.) / Masayuki Arai(Nihon Univ.)

Paper Information
Registration To Technical Committee on Computer Systems / Technical Committee on Dependable Computing / Special Interest Group on System Architecture
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A study on Network Structure and Parameter Exchange Method in large-scale Cluster for Machine Learning
Sub Title (in English)
Keyword(1) Machine learningParameter ServerSimulationClos network
1st Author's Name Duo Zhang
1st Author's Affiliation University of Tsukuba(Univ. of Tsukuba)
2nd Author's Name Mingxi Li
2nd Author's Affiliation University of Tsukuba(Univ. of Tsukuba)
3rd Author's Name Yusuke Tanimura
3rd Author's Affiliation National Institute of Advanced Industrial Science and Technology(AIST)
4th Author's Name Hidemoto Nakada
4th Author's Affiliation National Institute of Advanced Industrial Science and Technology(AIST)
Date 2017-07-27
Paper # CPSY2017-29
Volume (vol) vol.117
Number (no) CPSY-153
Page pp.pp.145-150(CPSY),
#Pages 6
Date of Issue 2017-07-19 (CPSY)