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| Presentation | 2019-11-14 10:05 DNN accelerator for AI edge computing Yasuhiro Nakahara, Juntaro Chikama, Motoki Amagasaki (Kumamoto Univ.), Zhao Qian (Kyutech), Masahiro Iida (Kumamoto Univ.)  RECONF2019-38 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Convolutional Neural Network (CNN), a kind of artificial intelligence for image recognition, is used in various fields because it can recognize images of high accuracy. However, a large-scale CNN has as an high calcula- tion cost, and it is difficult to treat for an embedded device because of power consumption.Many AI chips have been developed to process CNNs with low power consumption in embedded devices. Many of these AI chips efficiently process only convolutional layer or full connected layer, . In this paper, we propose an AI chip that can efficiently process both layers of CNN. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | DeepLearning / Convolutional Neural Network / AI Chip / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 287, RECONF2019-38, pp. 15-20, Nov. 2019. | |
| Paper # | RECONF2019-38 | |
| Date of Issue | 2019-11-07 (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) | |
| Download PDF | RECONF2019-38 |
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| Conference Information | |
| Committee | VLD DC CPSY RECONF ICD IE IPSJ-SLDM IPSJ-EMB |
| Conference Date | 2019-11-13 - 2019-11-15 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Ehime Prefecture Gender Equality Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Design Gaia 2019 -New Field of VLSI Design- |
| Paper Information | |
| Registration To | RECONF |
| Conference Code | 2019-11-VLD-DC-CPSY-RECONF-ICD-IE-SLDM-EMB-ARC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | DNN accelerator for AI edge computing |
| Sub Title (in English) | |
| Keyword(1) | DeepLearning |
| Keyword(2) | Convolutional Neural Network |
| Keyword(3) | AI Chip |
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| 1st Author's Name | Yasuhiro Nakahara |
| 1st Author's Affiliation | Kumamoto University (Kumamoto Univ.) |
| 2nd Author's Name | Juntaro Chikama |
| 2nd Author's Affiliation | Kumamoto University (Kumamoto Univ.) |
| 3rd Author's Name | Motoki Amagasaki |
| 3rd Author's Affiliation | Kumamoto University (Kumamoto Univ.) |
| 4th Author's Name | Zhao Qian |
| 4th Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
| 5th Author's Name | Masahiro Iida |
| 5th Author's Affiliation | Kumamoto University (Kumamoto Univ.) |
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| Speaker | Author-1 |
| Date Time | 2019-11-14 10:05:00 |
| Presentation Time | 25 minutes |
| Registration for | RECONF |
| Paper # | RECONF2019-38 |
| Volume (vol) | vol.119 |
| Number (no) | no.287 |
| Page | pp.15-20 |
| #Pages | 6 |
| Date of Issue | 2019-11-07 (RECONF) |
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