Presentation | 2020-11-17 R-GCN Based Function Inference for An Arithmetic Circuit Yuichiro Fujishiro, Motoki Amagasaki, Masahiro Iida, Hiroto Ito, Daisuke Ido, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(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) |
Keyword(in English) | R-GCN / netlist |
Paper # | VLD2020-21,ICD2020-41,DC2020-41,RECONF2020-40 |
Date of Issue | 2020-11-10 (VLD, ICD, DC, RECONF) |
Conference Information | |
Committee | VLD / DC / RECONF / ICD / IPSJ-SLDM |
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Conference Date | 2020/11/17(2days) |
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- |
Chair | Daisuke Fukuda(Fujitsu Labs.) / Hiroshi Takahashi(Ehime Univ.) / Yuichiro Shibata(Nagasaki Univ.) / Makoto Nagata(Kobe Univ.) / Yuichi Nakamura(NEC) |
Vice Chair | Kazutoshi Kobayashi(Kyoto Inst. of Tech.) / Tatsuhiro Tsuchiya(Osaka Univ.) / Kentaro Sano(RIKEN) / Yoshiki Yamaguchi(Tsukuba Univ.) / Masafumi Takahashi(masafumi2.takahashi@kioxia.com) |
Secretary | Kazutoshi Kobayashi(Hitachi) / Tatsuhiro Tsuchiya(Osaka Univ.) / Kentaro Sano(Nihon Univ.) / Yoshiki Yamaguchi(Chiba Univ.) / Masafumi Takahashi(e-trees.Japan) / (NEC) |
Assistant | Takuma Nishimoto(Hitachi) / / Hiroki Nakahara(Tokyo Inst. of Tech.) / Yukitaka Takemura(INTEL) / Koji Nii(TSMC) / Kosuke Miyaji(Shinshu Univ.) / Takeshi Kuboki(Kyushu Univ.) |
Paper Information | |
Registration To | Technical Committee on VLSI Design Technologies / Technical Committee on Dependable Computing / Technical Committee on Reconfigurable Systems / Technical Committee on Integrated Circuits and Devices / Special Interest Group on System and LSI Design Methodology |
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Language | JPN |
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 |
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) |
Date | 2020-11-17 |
Paper # | VLD2020-21,ICD2020-41,DC2020-41,RECONF2020-40 |
Volume (vol) | vol.120 |
Number (no) | VLD-234,ICD-235,DC-236,RECONF-237 |
Page | pp.pp.60-65(VLD), pp.60-65(ICD), pp.60-65(DC), pp.60-65(RECONF), |
#Pages | 6 |
Date of Issue | 2020-11-10 (VLD, ICD, DC, RECONF) |