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Paper Abstract and Keywords
Presentation 2018-08-01 16:15
Adaptation of Ray, a distributed framework for machine learning, to MPI-based environment
Tianlun Wang (Univ. of Tsukuba), Yusuke Tanimura, Hidemoto Nakada (AIST) CPSY2018-28
Abstract (in Japanese) (See Japanese page) 
(in English) Ray is a distributed framework for machine learning that targets reinforcement learning using multiple nodes. While it works well on loosely coupled nodes, it does not take into account the “high-performance computing environment” based on MPI. We modified Ray so that, 1) it works well with the MPI launch mechanism, and 2) it use MPI communication for large data transfer. We evaluated the modified version of Ray on a cluster and confirmed the preliminary performance.
Keyword (in Japanese) (See Japanese page) 
(in English) Ray / MPI / Machine Learning / high-performance computing environment / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 165, CPSY2018-28, pp. 205-210, July 2018.
Paper # CPSY2018-28 
Date of Issue 2018-07-23 (CPSY) 
ISSN 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)
Download PDF CPSY2018-28

Conference Information
Committee CPSY DC IPSJ-ARC  
Conference Date 2018-07-30 - 2018-08-01 
Place (in Japanese) (See Japanese page) 
Place (in English) Kumamoto City International Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Parallel, Distributed and Cooperative Processing Systems and Dependable Computing 
Paper Information
Registration To CPSY 
Conference Code 2018-07-CPSY-DC-ARC 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Adaptation of Ray, a distributed framework for machine learning, to MPI-based environment 
Sub Title (in English)  
Keyword(1) Ray  
Keyword(2) MPI  
Keyword(3) Machine Learning  
Keyword(4) high-performance computing environment  
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1st Author's Name Tianlun Wang  
1st Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
2nd Author's Name Yusuke Tanimura  
2nd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
3rd Author's Name Hidemoto Nakada  
3rd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
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Speaker Author-1 
Date Time 2018-08-01 16:15:00 
Presentation Time 30 minutes 
Registration for CPSY 
Paper # CPSY2018-28 
Volume (vol) vol.118 
Number (no) no.165 
Page pp.205-210 
#Pages 6 
Date of Issue 2018-07-23 (CPSY) 

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