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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PDF Download Page | PDF download Page Link |
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 |
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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 |
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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) |