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Paper Abstract and Keywords
Presentation 2020-01-23 15:25
FPGA-based Stream Data Aggregation for Large Sliding-Windows
Masaki Osaka (UEC), Masato Yoshimi (TIS), Celimuge Wu, Tsutomu Yoshinaga (UEC) VLD2019-76 CPSY2019-74 RECONF2019-66
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes an FPGA-based Stream Data Aggregation for large Sliding-Windows. We designed Configurable Query Processing Hardware (CQPH), which is a dynamically configurable accelerator for real-time query processing on data streams. Previous implementation of CQPH used BRAM on an FPGA to store intermediate data of aggregation, hence it restricts available sliding-window sizes due to the capacity of on-chip memory. We redesigns a new CQPH which utilizes off-chip DRAM for large amount of intermediate data buffering in order to support variety of queries with large window sizes. To reduce DRAM access latency, we introduce two mechanisms, a look-ahead cache and multi-stage compression of intermediate aggregation results. We show that the proposed new implementation of CQPH works well for stream data aggregation on large sliding-window sizes without degrading performance compared with the previous BRAM-based implementation.
Keyword (in Japanese) (See Japanese page) 
(in English) FPGA / window-aggregation / data stream / query processing / parallel processing / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 372, CPSY2019-74, pp. 141-146, Jan. 2020.
Paper # CPSY2019-74 
Date of Issue 2020-01-15 (VLD, CPSY, RECONF) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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 VLD2019-76 CPSY2019-74 RECONF2019-66

Conference Information
Conference Date 2020-01-22 - 2020-01-24 
Place (in Japanese) (See Japanese page) 
Place (in English) Raiosha, Hiyoshi Campus, Keio University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) FPGA Applications, etc. 
Paper Information
Registration To CPSY 
Conference Code 2020-01-SLDM-RECONF-VLD-CPSY-ARC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) FPGA-based Stream Data Aggregation for Large Sliding-Windows 
Sub Title (in English)  
Keyword(1) FPGA  
Keyword(2) window-aggregation  
Keyword(3) data stream  
Keyword(4) query processing  
Keyword(5) parallel processing  
1st Author's Name Masaki Osaka  
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 2020-01-23 15:25:00 
Presentation Time 25 minutes 
Registration for CPSY 
Paper # VLD2019-76, CPSY2019-74, RECONF2019-66 
Volume (vol) vol.119 
Number (no) no.371(VLD), no.372(CPSY), no.373(RECONF) 
Page pp.141-146 
Date of Issue 2020-01-15 (VLD, CPSY, RECONF) 

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