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. |
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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) |
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Keyword(1) |
Reconfigurable devices |
Keyword(2) |
Place-and-Route |
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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 |
6 |
Date of Issue |
2020-05-21 (RECONF) |
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