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Paper Abstract and Keywords
Presentation 2020-05-29 10:50
Proposal of Reconfigurable Device Placement Algorithm Using Placement Quality Judgment Neural Network as Cost Function of SA Method
Yuichi Natsume, Tokio Kamada, Kubota Atsushi, Kazuya Tanigawa, Tetsuo Hironaka (Hiroshima City Univ.) RECONF2020-13
Abstract (in Japanese) (See Japanese page) 
(in English) The circuit performance of reconfigurable devices greatly depends on the place-and-route results, so optimal place-and-route is important.
However, the SA method using the conventional cost function has a problem that an accurate cost value cannot be calculated, and thus it is difficult to perform optimal place-and-route.
Therefore, we propose to use a neural network as a cost function.
In this paper, by using the conventional cost function and neural network together, the wiring success rate and the average wire length can be significantly improved compared with using the conventional cost function alone.
Keyword (in Japanese) (See Japanese page) 
(in English) Reconfigurable devices / Place-and-Route / Neural Network / Simulated Annealing / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 36, RECONF2020-13, pp. 71-76, May 2020.
Paper # RECONF2020-13 
Date of Issue 2020-05-21 (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)
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
Download PDF RECONF2020-13

Conference Information
Committee RECONF  
Conference Date 2020-05-28 - 2020-05-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Reconfigurable system, etc. 
Paper Information
Registration To RECONF 
Conference Code 2020-05-RECONF 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Proposal of Reconfigurable Device Placement Algorithm Using Placement Quality Judgment Neural Network as Cost Function of SA Method 
Sub Title (in English)  
Keyword(1) Reconfigurable devices  
Keyword(2) Place-and-Route  
Keyword(3) Neural Network  
Keyword(4) Simulated Annealing  
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1st Author's Name Yuichi Natsume  
1st Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
2nd Author's Name Tokio Kamada  
2nd Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
3rd Author's Name Kubota Atsushi  
3rd Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
4th Author's Name Kazuya Tanigawa  
4th Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
5th Author's Name Tetsuo Hironaka  
5th Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
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Speaker Author-1 
Date Time 2020-05-29 10:50:00 
Presentation Time 25 minutes 
Registration for RECONF 
Paper # RECONF2020-13 
Volume (vol) vol.120 
Number (no) no.36 
Page pp.71-76 
#Pages
Date of Issue 2020-05-21 (RECONF) 


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