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Paper Abstract and Keywords
Presentation 2014-07-11 16:20
A high-performance heterogeneous signal processing technique
Ken T. Murata, Hidenobu Watanabe (NICT), Eizen Kimura (Ehime Univ.), Osamu Tatebe, Masahiro Tanaka (Tsukuba Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) Science cloud is a cloud system designed for scientific researches, and expected as a new infrastructure for big data sciences. Not only parallelization of CPU as in super-computers, but I/O and network throughput parallelization are crucial for the big data science. One of the typical structures of science cloud is a scalable cluster in which multiple clusters in a cloud are connected with high-speed network. In the present study, we study a performance of parallelization of both CPU and I/O inside a cloud as a first step to the high performance scalable clusters. In case with few processes executed on each computational node (server), parallelization efficiency is almost 100%. This high efficiency is expected to maintain in larger-scale cluster systems such as those with 30 servers. On the other hand, under the condition of multi-processes on each node, the present parallelization does not show good performance due to the congestions of I/O. Parallelization efficiency is as low as 15.6. New techniques of decentralization of I/O within each node are required in the next step.
Keyword (in Japanese) (See Japanese page) 
(in English) HPC / distributed storage / task scheduling / satellite observation data / / / /  
Reference Info. IEICE Tech. Rep.
Paper #  
Date of Issue  
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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Conference Information
Committee CAS SIP MSS VLD SIS  
Conference Date 2014-07-09 - 2014-07-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) System, signal processing and related topics 
Paper Information
Registration To SIP 
Conference Code 2014-07-CAS-SIP-MSS-VLD-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A high-performance heterogeneous signal processing technique 
Sub Title (in English)  
Keyword(1) HPC  
Keyword(2) distributed storage  
Keyword(3) task scheduling  
Keyword(4) satellite observation data  
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1st Author's Name Ken T. Murata  
1st Author's Affiliation National Institute of Information and Communications Technology (NICT)
2nd Author's Name Hidenobu Watanabe  
2nd Author's Affiliation National Institute of Information and Communications Technology (NICT)
3rd Author's Name Eizen Kimura  
3rd Author's Affiliation Ehime University (Ehime Univ.)
4th Author's Name Osamu Tatebe  
4th Author's Affiliation Tsukuba University (Tsukuba Univ.)
5th Author's Name Masahiro Tanaka  
5th Author's Affiliation Tsukuba University (Tsukuba Univ.)
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Speaker
Date Time 2014-07-11 16:20:00 
Presentation Time 20 
Registration for SIP 
Paper #  
Volume (vol) IEICE-114 
Number (no) no.122(CAS), no.123(VLD), no.124(SIP), no.125(MSS), no.126(SIS) 
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