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Paper Abstract and Keywords
Presentation 2017-08-18 11:05
Study of Evaluation Method of FPGA Accelerator for In-memory Columnar DB in Speed-up of Online Analytical Processing (OLAP)
Tetsuro Hommura, Yoshifumi Fujikawa (Hitachi) COMP2017-14
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, real time analysis, which uses fresher data than ever before, is the trend. It is expected to be used in various applications such as reducing traffic jam and supply chain management. For real time analysis, in-memory and columnar data base has come up recently. Its one issue is the speedup of transformation of row type data for OLTP to column type data for OLAP. Under these backgrounds, we have studied FPGA accelerator for transformation of row type data to column type data. In this research, we conduct the experiments to investigate the usefulness in real application. For this purpose, we evaluate the performance of analysis in several places for people flow analysis and supply chain management. The results show that the people flow analysis will finish within 10 seconds even with more row type data in the future and that analysis time for supply chain management will be reduced up to 46 %. We have the prospects for reality of real time analysis.
Keyword (in Japanese) (See Japanese page) 
(in English) Real time analysis / in-memory and columnar data base / FPGA accelerator / / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 176, COMP2017-14, pp. 9-16, Aug. 2017.
Paper # COMP2017-14 
Date of Issue 2017-08-11 (COMP) 
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)
Download PDF COMP2017-14

Conference Information
Committee COMP  
Conference Date 2017-08-18 - 2017-08-18 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To COMP 
Conference Code 2017-08-COMP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study of Evaluation Method of FPGA Accelerator for In-memory Columnar DB in Speed-up of Online Analytical Processing (OLAP) 
Sub Title (in English)  
Keyword(1) Real time analysis  
Keyword(2) in-memory and columnar data base  
Keyword(3) FPGA accelerator  
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1st Author's Name Tetsuro Hommura  
1st Author's Affiliation Hitachi, Ltd., Research & Development Group, Center for Technology Innovation – Digital Technology (Hitachi)
2nd Author's Name Yoshifumi Fujikawa  
2nd Author's Affiliation Hitachi, Ltd., Research & Development Group, Center for Technology Innovation – Digital Technology (Hitachi)
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Speaker Author-1 
Date Time 2017-08-18 11:05:00 
Presentation Time 35 minutes 
Registration for COMP 
Paper # COMP2017-14 
Volume (vol) vol.117 
Number (no) no.176 
Page pp.9-16 
#Pages 8 
Date of Issue 2017-08-11 (COMP) 

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