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Paper Abstract and Keywords
Presentation 2014-12-01 15:15
[Poster Presentation] A Scalable Hardware Architecture of Locality-Sesitive Hashing for similarity Search
Tsunaki Sadahisa, Kasho Yamamoto, Dahoo Kim, Eric S. Fukuda, Tetsuya Asai, Masato Motomura (Hokkaido Univ.) ICD2014-83 CPSY2014-95
Abstract (in Japanese) (See Japanese page) 
(in English) Locality-Sensitive Hashing (LSH) is a hash function that projects similar data into memory closely. In similarity searching, LSH is useful for fast indexing and search. Additionally, its complexity does not depend on database size, so it is suitable for large-scale data processing. Some works implement LSH on wire because it is simple, powerful and suitable for hardware implementation. However their LSH module is optimized for applications, and does not have scalability. Therefore, we propose a scalable hardware architecture of LSH. LSH calculates a dot product of data and random vectors chosen from normal distribution. In order to create random vectors, our approach uses Linear Feedback Shift Register (LFSR) to generate uniform random numbers, and sums these numbers to normal distribution according to the central limit theorem. While its state transition is predictable, LFSR is a pseudo random number generator because of its very long cycle and its independent states. Moreover, LFSR can generate the same random vector by initializing it before calculation. By using LFSR, our LSH module is adaptable to correspond to input data with various dimensions by simply changing the bit width.
Keyword (in Japanese) (See Japanese page) 
(in English) Locality-sensitive Hashing / similarity search / hashing / / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 345, ICD2014-83, pp. 45-45, Dec. 2014.
Paper # ICD2014-83 
Date of Issue 2014-11-24 (ICD, 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 ICD2014-83 CPSY2014-95

Conference Information
Committee ICD CPSY  
Conference Date 2014-12-01 - 2014-12-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ICD 
Conference Code 2014-12-ICD-CPSY 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Scalable Hardware Architecture of Locality-Sesitive Hashing for similarity Search 
Sub Title (in English)  
Keyword(1) Locality-sensitive Hashing  
Keyword(2) similarity search  
Keyword(3) hashing  
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1st Author's Name Tsunaki Sadahisa  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Kasho Yamamoto  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
3rd Author's Name Dahoo Kim  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
4th Author's Name Eric S. Fukuda  
4th Author's Affiliation Hokkaido University (Hokkaido Univ.)
5th Author's Name Tetsuya Asai  
5th Author's Affiliation Hokkaido University (Hokkaido Univ.)
6th Author's Name Masato Motomura  
6th Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Speaker Author-1 
Date Time 2014-12-01 15:15:00 
Presentation Time 120 minutes 
Registration for ICD 
Paper # ICD2014-83, CPSY2014-95 
Volume (vol) vol.114 
Number (no) no.345(ICD), no.346(CPSY) 
Page p.45 
#Pages 1 
Date of Issue 2014-11-24 (ICD, CPSY) 

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