Rchr
J-GLOBAL ID：200901034062704497
Update date: Apr. 28, 2024
KIYAMA Masato
KIYAMA Masato
Research field (1)：
Software
Research theme for competitive and other funds (2)：
- 2022 - 2025 エッジAIシステム向け設計基盤技術に関する研究
- 2018 - 2019 再帰再構成型ニューロモルフィックアクセラレータの研究開発
Papers (32)：
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Kei Ishida, Ali Ercan, Takeyoshi Nagasato, Masato Kiyama, Motoki Amagasaki. Use of one-dimensional CNN for input data size reduction in LSTM for improved computational efficiency and accuracy in hourly rainfall-runoff modeling. Journal of Environmental Management. 2024
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Shoki Sakaguchi, Motoki Amagasaki, Masato Kiyama, Toshiaki Okamoto. Multi-Camera People Tracking With Spatio-Temporal and Group Considerations. IEEE Access. 2024
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Mery Diana, Masato Kiyama, Motoki Amagasaki, Masayoshi Ito, Yuki Morishita. A Deep Neural Network Translator for Edge Site Implementation. 2023 Eleventh International Symposium on Computing and Networking Workshops (CANDARW). 2023
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Mery Diana, Ridhwan Amin, Motoki Amagasaki, Masato Kiyama. A Lightweight Deep Neural Network Using a Mixer-Type Nonlinear Vector Autoregression. IEEE Access. 2023
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Tomoki Izumi, Motoki Amagasaki, Kei Ishida, Masato Kiyama. Super-resolution of sea surface temperature with convolutional neural network- and generative adversarial network-based methods. Journal of Water and Climate Change. 2022. 13. 4. 1673-1683
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MISC (46)：
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中原康宏, 増田雄太, 木山真人, 飯田全広. FPGA implementation of small area sum-of-products arithmetic unit for Posit and consideration of its introduction into AI chip ReNA. 電子情報通信学会技術研究報告(Web). 2022. 122. 174(RECONF2022 26-41)
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増田雄太, 中原康宏, 木山真人, 飯田全広. Proposal and evaluation of Combined Posit MAC unit (CPMAC) for both DNN inference and training. 電子情報通信学会技術研究報告(Web). 2022. 122. 174(RECONF2022 26-41)
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木山真人, 中原康宏, 尼崎太樹, 飯田全広. Development of Quantized DNN Library for Exact Hardware Emulation. 電子情報通信学会技術研究報告(Web). 2021. 120. 400. 18-23
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木山真人, 尼崎太樹, 飯田全広. Deep Learning Framework with Numerical Precision. 電子情報通信学会技術研究報告. 2019. 119. 18(RECONF2019 1-19)(Web). 79-84 (WEB ONLY)
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萩島裕士, 木山真人, 有次正義. Consideration for Performance Improvement of DBMS in Cloud by Distributing Tasks according to Their Processing. Record of Joint Conference of Electrical and Electronics Engineers in Kyushu. 2017. 2017. 0. 374-375
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Lectures and oral presentations (11)：
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The Design and Development of of Quantized Neural Networks Library for Exact Hardware Emulation
(2021)
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RustによるDNN Compilerの実装
(第22回プログラミングおよびプログラミング言語ワークショップ 2020)
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正確なハードウェアエミュレーションを行う量子化DNNライブラリの開発
(リコンフィギャラブルシステム研究会 2019)
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ハードウェアでの実装が容易になるDNN設計フレームワークPyParchの開発
(LSIとシステムのワークショップ2019 2019)
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Deep Learning Framework with Numerical Precision
(RECONF 2019)
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Education (3)：
- 2001 - 2003 Hiroshima City University
- 1999 - 2001 Hiroshima City University
- 1995 - 1999 Hiroshima City University Faculty of Information Science Faculty of Information Science
Professional career (1)：
Work history (4)：
- 2016/04 - 現在 Kumamoto University Unregistered
- 2007 - 2016/03 熊本大学大学院自然科学研究科(工学系)先端情報通信工学 助教
- 2006 - 2007 助手
- 2003 - 2006 Kumamoto University Faculty of Engineering
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