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Paper Abstract and Keywords
Presentation 2024-03-22 09:50
Proposal for Parallel Code Generation and Dynamic Distributed-Cluster Selection in Ray Application
Rina Ueno, Nao Nisijima (Hitachi) ICM2023-53
Abstract (in Japanese) (See Japanese page) 
(in English) In data analysis systems, a distributed processing infrastructure can be used to increase speed through parallelization and decentralization. Recently, Ray, a Python/Java framework that can distribute computationally intensive ML workloads to multiple nodes in a fast and concise manner, has been attracting attention, enabling workloads to be distributed to multiple nodes with only minor changes to existing code. However, it requires trial and verification to find suitable areas in the code where parallelization and distribution can be applied, and also because the speed may not be improved by distribution depending on the processing contents. The purpose of this research is to ensure the effectiveness of distributed processing in a system, and we propose a scheme to automatically generate parallelized code by analyzing source code and to determine whether distributed processing is necessary or not or where to distribute it based on dynamic observations.
Keyword (in Japanese) (See Japanese page) 
(in English) Distributed Processing, / Parallel Processing / Big Data / Ray / Python / Generative AI / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 449, ICM2023-53, pp. 47-50, March 2024.
Paper # ICM2023-53 
Date of Issue 2024-03-14 (ICM) 
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 ICM2023-53

Conference Information
Committee ICM  
Conference Date 2024-03-21 - 2024-03-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Prefectural Museum and Art Museum 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ICM 
Conference Code 2024-03-ICM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Proposal for Parallel Code Generation and Dynamic Distributed-Cluster Selection in Ray Application 
Sub Title (in English)  
Keyword(1) Distributed Processing,  
Keyword(2) Parallel Processing  
Keyword(3) Big Data  
Keyword(4) Ray  
Keyword(5) Python  
Keyword(6) Generative AI  
Keyword(7)  
Keyword(8)  
1st Author's Name Rina Ueno  
1st Author's Affiliation Hitachi, Ltd. (Hitachi)
2nd Author's Name Nao Nisijima  
2nd Author's Affiliation Hitachi, Ltd. (Hitachi)
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Speaker Author-1 
Date Time 2024-03-22 09:50:00 
Presentation Time 20 minutes 
Registration for ICM 
Paper # ICM2023-53 
Volume (vol) vol.123 
Number (no) no.449 
Page pp.47-50 
#Pages 4 
Date of Issue 2024-03-14 (ICM) 

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