Paper Abstract and Keywords |
Presentation |
2017-07-27 17:00
A study on Network Structure and Parameter Exchange Method in large-scale Cluster for Machine Learning Duo Zhang, Mingxi Li (Univ. of Tsukuba), Yusuke Tanimura, Hidemoto Nakada (AIST) CPSY2017-29 |
Abstract |
(in Japanese) |
(See Japanese page) |
(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) |
(in English) |
Machine learning / Parameter Server / Simulation / Clos network / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 153, CPSY2017-29, pp. 145-150, July 2017. |
Paper # |
CPSY2017-29 |
Date of Issue |
2017-07-19 (CPSY) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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CPSY2017-29 |
Conference Information |
Committee |
CPSY DC IPSJ-ARC |
Conference Date |
2017-07-26 - 2017-07-28 |
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 |
Paper Information |
Registration To |
CPSY |
Conference Code |
2017-07-CPSY-DC-ARC |
Language |
English |
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) |
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Keyword(1) |
Machine learning |
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Parameter Server |
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Simulation |
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Clos network |
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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) |
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Speaker |
Author-1 |
Date Time |
2017-07-27 17:00:00 |
Presentation Time |
30 minutes |
Registration for |
CPSY |
Paper # |
CPSY2017-29 |
Volume (vol) |
vol.117 |
Number (no) |
no.153 |
Page |
pp.145-150 |
#Pages |
6 |
Date of Issue |
2017-07-19 (CPSY) |
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