| Paper Abstract and Keywords |
| Presentation |
2019-06-17 16:45
Embedded AI implementation Tadaaki Shiraishi (MMS), Koji Kinoshita (Ehime Univ) NC2019-10 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In order to realize CNN on edge terminals and realize inference processing such as image recognition, it is important to reduce power consumption and realize price reduction while maintaining processing speed and recognition accuracy. In this paper, we realized the weight reduction of CNN, implemented it in FPGA, and compared it with CPU and embedded system GPU, and report the result. When small-scale CNNs that recognize handwritten numbers were implemented on each device and compared, FPGA implementation was good in terms of price, power consumption, and processing speed. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
FPGA, / CNN / Weight Reduction / Edge Computing / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 119, no. 88, NC2019-10, pp. 35-40, June 2019. |
| Paper # |
NC2019-10 |
| Date of Issue |
2019-06-10 (NC) |
| 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 |
NC2019-10 |
| Conference Information |
| Committee |
NC IBISML IPSJ-MPS IPSJ-BIO |
| Conference Date |
2019-06-17 - 2019-06-19 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Okinawa Institute of Science and Technology |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Neurocomputing, Machine Learning Approach to Biodata Mining, and General |
| Paper Information |
| Registration To |
NC |
| Conference Code |
2019-06-NC-IBISML-MPS-BIO |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Embedded AI implementation |
| Sub Title (in English) |
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| Keyword(1) |
FPGA, |
| Keyword(2) |
CNN |
| Keyword(3) |
Weight Reduction |
| Keyword(4) |
Edge Computing |
| Keyword(5) |
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| 1st Author's Name |
Tadaaki Shiraishi |
| 1st Author's Affiliation |
Mitsubishi Electric Micro-Computer Application Software Co.,Ltd (MMS) |
| 2nd Author's Name |
Koji Kinoshita |
| 2nd Author's Affiliation |
Ehime University (Ehime Univ) |
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| Speaker |
Author-1 |
| Date Time |
2019-06-17 16:45:00 |
| Presentation Time |
25 minutes |
| Registration for |
NC |
| Paper # |
NC2019-10 |
| Volume (vol) |
vol.119 |
| Number (no) |
no.88 |
| Page |
pp.35-40 |
| #Pages |
6 |
| Date of Issue |
2019-06-10 (NC) |