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Paper Abstract and Keywords
Presentation 2014-07-30 14:00
GPU-Based Acceleration on Partitioned Graph Databases
Shin Morishima, Hiroki Matsutani (Keio Univ.) CPSY2014-38
Abstract (in Japanese) (See Japanese page) 
(in English) Graph databases use graph structures to store data sets as nodes, edges, and properties.
They are used to store and search the relationships between a large number of nodes, such as social networking services and recommendation engines that use customer social graphs.
Social graphs sometimes become too large to store a single graph database on a single computer.
In this case, a single large graph database can be partitioned and stored in multiple graph database servers.
Since such a graph search query often goes across multiple partitioned graph databases, the graph search performance is degraded.
In this paper, we propose to extract the minimum information from commercial graph databases at runtime and combine them as a cache.
The cached graph information is stored in a single computer and the graph search is performed for the cache using GPUs.
The cached graph information size is reduced to 1/139 - 1/136 compared to the original memory footprint size.
In Dijkstra algorithm for a graph that has 10 million nodes and 200 degree, our GPU implementation can improve the performance by 2.6x with respect to a CPU implementation.
Keyword (in Japanese) (See Japanese page) 
(in English) Structured storage / graph database / GPUs / / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 155, CPSY2014-38, pp. 167-172, July 2014.
Paper # CPSY2014-38 
Date of Issue 2014-07-21 (CPSY) 
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 CPSY2014-38

Conference Information
Committee CPSY DC  
Conference Date 2014-07-28 - 2014-07-30 
Place (in Japanese) (See Japanese page) 
Place (in English) Toki Messe, Niigata 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Parallel, Distributed and Cooperative Processing 
Paper Information
Registration To CPSY 
Conference Code 2014-07-CPSY-DC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) GPU-Based Acceleration on Partitioned Graph Databases 
Sub Title (in English)  
Keyword(1) Structured storage  
Keyword(2) graph database  
Keyword(3) GPUs  
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1st Author's Name Shin Morishima  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Hiroki Matsutani  
2nd Author's Affiliation Keio University (Keio Univ.)
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Speaker Author-1 
Date Time 2014-07-30 14:00:00 
Presentation Time 25 minutes 
Registration for CPSY 
Paper # CPSY2014-38 
Volume (vol) vol.114 
Number (no) no.155 
Page pp.167-172 
#Pages 6 
Date of Issue 2014-07-21 (CPSY) 

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