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Paper Abstract and Keywords
Presentation 2021-01-26 09:00
Acceleration of Database Query Processing Using FPGA
Hirohiko Ozaku (UEC), Masato Yoshimi (TIS), Celimuge Wu, Tsutomu Yoshinaga (UEC) VLD2020-55 CPSY2020-38 RECONF2020-74
Abstract (in Japanese) (See Japanese page) 
(in English) A bottleneck of Big data analysis is a time to transfer large amount of data to the main memory from the storage. The data transfer time occupies quite a percentage of the turnaround time due to an unbalanced rate between data transfer and computation. In order to accelerate computational time by reducing data, a mechanism installing hardware such as FPGA is expected to reduce the volume of data prior to loading to the main memory. Our research group utilizes in-datapath computing, which is a on-the-fly computation for stream data from the storage and network input to the main memory of a host machine. This paper reports an FPGA-based acceleration of aggregation query processing using the in-datapath Computing. We developed a dedicated query processing hardware on an FPGA. In addition, we confirmed that the computational speed of a On-Line Analytical Processing benchmark Query 3 is accelerated about 10 times compared to Impala, which is a distributed query engine.
Keyword (in Japanese) (See Japanese page) 
(in English) Bigdata analysis / FPGA / query processing / aggregation query / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 338, CPSY2020-38, pp. 90-95, Jan. 2021.
Paper # CPSY2020-38 
Date of Issue 2021-01-18 (VLD, CPSY, RECONF) 
ISSN Online edition: ISSN 2432-6380
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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 VLD2020-55 CPSY2020-38 RECONF2020-74

Conference Information
Committee CPSY RECONF VLD IPSJ-ARC IPSJ-SLDM  
Conference Date 2021-01-25 - 2021-01-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) FPGA Applications, etc. 
Paper Information
Registration To CPSY 
Conference Code 2021-01-CPSY-RECONF-VLD-ARC-SLDM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Acceleration of Database Query Processing Using FPGA 
Sub Title (in English)  
Keyword(1) Bigdata analysis  
Keyword(2) FPGA  
Keyword(3) query processing  
Keyword(4) aggregation query  
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1st Author's Name Hirohiko Ozaku  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Masato Yoshimi  
2nd Author's Affiliation TIS Inc. (TIS)
3rd Author's Name Celimuge Wu  
3rd Author's Affiliation The University of Electro-Communications (UEC)
4th Author's Name Tsutomu Yoshinaga  
4th Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2021-01-26 09:00:00 
Presentation Time 25 minutes 
Registration for CPSY 
Paper # VLD2020-55, CPSY2020-38, RECONF2020-74 
Volume (vol) vol.120 
Number (no) no.337(VLD), no.338(CPSY), no.339(RECONF) 
Page pp.90-95 
#Pages
Date of Issue 2021-01-18 (VLD, CPSY, RECONF) 


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