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 |
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 |
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) |
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Keyword(1) |
Bigdata analysis |
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FPGA |
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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 |
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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 |
6 |
Date of Issue |
2021-01-18 (VLD, CPSY, RECONF) |
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