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藤井智也 研究業績一覧 (14件)
- 2025
- 2024
- 2023
- 2022
- 2021
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論文
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Hiroki Nakahara,
Haruyoshi Yonekawa,
Tomoya Fujii,
Masayuki Shimoda,
Shimpei Sato.
GUINNESS: A GUI based Binarized Deep Neural Network Framework for Software Programmers,
IEICE Transactions on Information and Systems,
Vol. E102-D,
No. 5,
pp. 1003-1011,
May 2019.
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Tomoya Fujii,
Shimpei Sato,
Hiroki Nakahara.
A Threshold Neuron Pruning for a Binarized Deep Neural Network on an FPGA,
IEICE Transactions on Information and Systems,
Vol. E101-D,
No. 2,
pp. 376-386,
Feb. 2018.
国際会議発表 (査読有り)
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Akira Jinguji,
Tomoya Fujii,
Shimpei Sato,
Hiroki Nakahara.
An FPGA Realization of OpenPose based on a Sparse Weight Convolutional Neural Network,
The 2018 International Conference on Field-Programmable Technology (FPT '18),
Dec. 2018.
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Tomoya Fujii,
Shimpei Sato,
Hiroki Nakahara.
A Design Algorithm for a Neuron Pruning Toward a Compact Binarized Deep Convolutional Neural Network on an FPGA,
The 21st Workshop on Synthesis And System Integration of Mixed Information technologies (SASIMI 2018),
Mar. 2018.
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Hiroki Nakahara,
Haruyoshi Yonekawa,
Tomoya Fujii,
Shimpei Sato.
A Lightweight YOLOv2: A Binarized CNN with A Parallel Support Vector Regression for an FPGA,
The 26th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA 2018),
Feb. 2018.
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Hiroki Nakahara,
Tomoya Fujii,
Shimpei Sato.
A Fully Connected Layer Elimination for a Binarized Convolutional Neural Network on an FPGA,
The 27th International Conference on Field-programmable Logic and Applications (FPL 2017),
pp. 1-4,
Sept. 2017.
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Hiroki Nakahara,
Haruyoshi Yonekawa,
Tomoya Fujii,
Masayuki Shimoda,
Shimpei Sato.
GUINNESS: A GUI based neural network synthesizer for an FPGA,
The 27th International Conference on Field-programmable Logic and Applications (FPL 2017),
Sept. 2017.
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Tomoya Fujii,
Shimpei Sato,
Hiroki Nakahara,
Masato Motomura.
An FPGA Realization of a Deep Convolutional Neural Network using a Threshold Neuron Pruning,
International Symposium on Applied Reconfigurable Computing (ARC2017),
Apr. 2017.
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Hiroki Nakahara,
Akira Jinguji,
Tomoya Fujii,
Shimpei Sato.
An Acceleration of a Random Forest Classification using Altera SDK for OpenCL,
The International Conference on Field-Programmable Technology (FPT 2016),
Dec. 2016.
国内会議発表 (査読なし・不明)
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藤井智也,
佐藤真平,
中原啓貴.
FPGA向けの2値化畳み込みニューラルネットワークのニューロン刈りアルゴリズムについて,
第31回多値論理とその応用研究会,
Jan. 2018.
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宇山拓夢,
藤井智也,
米川晴義,
佐藤真平,
中原啓貴.
Intel OpenCLを用いたディープニューラルネットワークのFPGA実現に関して,
電子情報通信学会技術研究報告,
vol. 117,
no. 379,
pp. 13-18,
Jan. 2018.
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藤井智也,
佐藤真平,
中原啓貴,
本村真人.
畳込みニューラルネットワークのニューロン刈りによるメモリ量削減とFPGA実現について,
電子情報通信学会リコンフィギャラブルシステム研究会,
Jan. 2017.
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Marina Yamasawa,
Tomoya Fujii,
Kota Goto,
Masahito Ohue,
Takashi Ishida,
Kazuyuki Ishihara,
Yutaka Akiyama.
GPU/MPI Parallelization of Metagenomic Sequence Homology Search Tool and Its Application to Oral Metagenomics,
Informatics in Biology, Medicine and Pharmacology 2016 (IIBMP2016),
Sept. 2016.
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藤井智也,
角田将典,
大上雅史,
石田貴士,
石原和幸,
秋山泰.
GPUを用いたメタゲノム配列相同性解析ツールのMPI並列化と応用,
研究報告バイオ情報学(BIO),
情報処理学会,
2016-BIO-45,
3,
1-4,
Mar. 2016.
公式リンク
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