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| Presentation | 2020-11-17 10:20 R-GCN Based Function Inference for An Arithmetic Circuit Yuichiro Fujishiro, Motoki Amagasaki, Masahiro Iida (Kumamoto Univ.), Hiroto Ito, Daisuke Ido (MITSUBISHI ELECTRIC ENGINEERING)  VLD2020-21 ICD2020-41 DC2020-41 RECONF2020-40 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | R-GCN (Relational Graph Convolutional Network) is a convolutional neural network model for graphs consisting of nodes and edges, and is characterized by its ability to input directed graphs. In our previous work, we proposed a method for functional inference of circuits by converting gate-level netlists into graphs and inputting them into R-GCN. As a result, we have realized functional inference in a combinatorial circuit consisting of simple arithmetic functions such as adder, subtractor, multiplier and multiplexer. In order to improve the generalizability of the method, this study proposes a method for function inference for higher-level circuit functions such as FIR and IIR filters and FFTs by using the inference results of arithmetic functions. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | R-GCN / netlist / / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 234, VLD2020-21, pp. 60-65, Nov. 2020. | |
| Paper # | VLD2020-21 | |
| Date of Issue | 2020-11-10 (VLD, ICD, DC, RECONF) | |
| 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 | VLD2020-21 ICD2020-41 DC2020-41 RECONF2020-40 |
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| Conference Information | |
| Committee | VLD DC RECONF ICD IPSJ-SLDM |
| Conference Date | 2020-11-17 - 2020-11-18 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Design Gaia 2020 -New Field of VLSI Design- |
| Paper Information | |
| Registration To | VLD |
| Conference Code | 2020-11-VLD-DC-RECONF-ICD-SLDM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | R-GCN Based Function Inference for An Arithmetic Circuit |
| Sub Title (in English) | |
| Keyword(1) | R-GCN |
| Keyword(2) | netlist |
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| 1st Author's Name | Yuichiro Fujishiro |
| 1st Author's Affiliation | Graduate School of Science and Technology, Kumamoto University (Kumamoto Univ.) |
| 2nd Author's Name | Motoki Amagasaki |
| 2nd Author's Affiliation | Faculty of Advanced Science and Technology, Kumamoto University (Kumamoto Univ.) |
| 3rd Author's Name | Masahiro Iida |
| 3rd Author's Affiliation | Faculty of Advanced Science and Technology, Kumamoto University (Kumamoto Univ.) |
| 4th Author's Name | Hiroto Ito |
| 4th Author's Affiliation | MITSUBISHI ELECTRIC ENGINEERING COMPANY LIMITED (MITSUBISHI ELECTRIC ENGINEERING) |
| 5th Author's Name | Daisuke Ido |
| 5th Author's Affiliation | MITSUBISHI ELECTRIC ENGINEERING COMPANY LIMITED (MITSUBISHI ELECTRIC ENGINEERING) |
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| Speaker | 1 |
| Date Time | 2020-11-17 10:20:00 |
| Presentation Time | 25 |
| Registration for | VLD |
| Paper # | VLD2020-21, ICD2020-41, DC2020-41, RECONF2020-40 |
| Volume (vol) | 120 |
| Number (no) | no.234(VLD), no.235(ICD), no.236(DC), no.237(RECONF) |
| Page | pp.60-65 |
| #Pages | 6 |
| Date of Issue | 2020-11-10 (VLD, ICD, DC, RECONF) |
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