年別の研究成果
年別の研究成果
フィンガープリント
Hiroki Matsutaniが活動している研究トピックを掘り下げます。このトピックラベルは、この研究者の研究成果に基づきます。これらがまとまってユニークなフィンガープリントを構成します。
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研究成果
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Accelerating Deep Learning using Multiple GPUs and FPGA-Based 10GbE Switch
Itsubo, T., Koibuchi, M., Amano, H. & Matsutani, H., 2020 3, Proceedings - 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2020. Institute of Electrical and Electronics Engineers Inc., p. 102-109 8 p. 9092145. (Proceedings - 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2020).研究成果: Conference contribution
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A generalized theory based on the turn model for deadlock-free irregular networks
Kawano, R., Yasudo, R., Matsutani, H., Koibuchi, M. & Amano, H., 2020, In: IEICE Transactions on Information and Systems. E103D, 1, p. 101-110 10 p.研究成果: Article › 査読
Open Access -
An Area-Efficient Implementation of Recurrent Neural Network Core for Unsupervised Anomaly Detection
Sakuma, T. & Matsutani, H., 2020 4, IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL CHIPS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 9097631. (IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL CHIPS 2020 - Proceedings).研究成果: Conference contribution
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A neural network-based on-device learning anomaly detector for edge devices
Tsukada, M., Kondo, M. & Matsutani, H., 2020 7 1, In: IEEE Transactions on Computers. 69, 7, p. 1027-1044 18 p., 9000710.研究成果: Article › 査読
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Designing low-diameter interconnection networks with multi-ported host-switch graphs
Yasudo, R., Nakano, K., Koibuchi, M., Matsutani, H. & Amano, H., 2020, (Accepted/In press) In: Concurrency Computation Practice and Experience.研究成果: Article › 査読