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Paper Abstract and Keywords
Presentation 2023-08-03 14:55
The study of GPU-based parallelization for weather forecasting simulator CReSS
Naoya Nomura, Masato Gocho, Kei Akama, Tetsutaro Yamada, Hiroshi Sakamaki (Mitsubishi Electric Corp.) CPSY2023-14 DC2023-14
Abstract (in Japanese) (See Japanese page) 
(in English) Real-time and high accuracy weather prediction is essential for building a safe and secure society. For example, disasters caused by local weather conditions, such as local heavy rain and wind, can be prevented by understanding weather conditions and taking measures in advance. On the other hand, the computational cost of high-precision weather prediction processing requires a significant amount of computation time. This is a problem to realize real-time weather prediction. Therefore, to overcome this problem, we developed CReSS, which is a weather prediction simulation SW for massively parallel computers, for GPU clusters. GPU is widely used such as machine learning and AI. We evaluated the processing speed using a single GPU and confirmed the speedup ratio about 14 times that of the CPU.
Keyword (in Japanese) (See Japanese page) 
(in English) Weathrer forecasting simulation / GPU clusters / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 145, CPSY2023-14, pp. 37-42, Aug. 2023.
Paper # CPSY2023-14 
Date of Issue 2023-07-26 (CPSY, DC) 
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 CPSY2023-14 DC2023-14

Conference Information
Committee CPSY DC IPSJ-ARC  
Conference Date 2023-08-02 - 2023-08-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Hakodate Arena 
Topics (in Japanese) (See Japanese page) 
Topics (in English) SWoPP2023: Parallel, Distributed and Cooperative Processing Systems and Dependable Computing 
Paper Information
Registration To CPSY 
Conference Code 2023-08-CPSY-DC-ARC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) The study of GPU-based parallelization for weather forecasting simulator CReSS 
Sub Title (in English)  
Keyword(1) Weathrer forecasting simulation  
Keyword(2) GPU clusters  
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1st Author's Name Naoya Nomura  
1st Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric Corp.)
2nd Author's Name Masato Gocho  
2nd Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric Corp.)
3rd Author's Name Kei Akama  
3rd Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric Corp.)
4th Author's Name Tetsutaro Yamada  
4th Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric Corp.)
5th Author's Name Hiroshi Sakamaki  
5th Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric Corp.)
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Speaker Author-1 
Date Time 2023-08-03 14:55:00 
Presentation Time 25 minutes 
Registration for CPSY 
Paper # CPSY2023-14, DC2023-14 
Volume (vol) vol.123 
Number (no) no.145(CPSY), no.146(DC) 
Page pp.37-42 
#Pages 6 
Date of Issue 2023-07-26 (CPSY, DC) 

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