Hiroki Matsutani

Scopus著者プロファイル

ウェブサイトhttps://k-ris.keio.ac.jp/html/100011770_ja.html

年別の研究成果

Pureに変更を加えた場合、すぐここに表示されます。

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。

1 類似のプロファイル

1246 被引用数
19 h-index
106 Conference contribution
31 Article
2 Paper
2 Conference article
その他

An area-efficient recurrent neural network core for unsupervised time-series anomaly detection
SAKUMA, T. & MATSUTANI, H., 2021 6 1, In: IEICE Transactions on Electronics. 1, 6, p. 247-256 10 p.
研究成果: Article › 査読

Open Access
An Edge Attribute-Wise Partitioning and Distributed Processing of R-GCN Using GPUs
Kibata, T., Tsukada, M. & Matsutani, H., 2021, Euro-Par 2020: Parallel Processing Workshops - Euro-Par 2020 International Workshops, 2020, Revised Selected Papers. Balis, B., B. Heras, D., Antonelli, L., Bracciali, A., Gruber, T., Hyun-Wook, J., Kuhn, M., Scott, S. L., Unat, D. & Wyrzykowski, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 122-134 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12480 LNCS).
研究成果: Conference contribution
An FPGA Acceleration and Optimization Techniques for 2D LiDAR SLAM Algorithm^∗
Sugiura, K. & Matsutani, H., 2021, In: IEICE Transactions on Information and Systems. E104D, 6, p. 789-800 12 p.
研究成果: Article › 査読

Open Access
Low-Latency Low-Energy Memory-Cube Networks using Dual-Voltage Datapaths
Shikama, Y., Kawano, R., Matsutani, H., Amano, H., Nagasaka, Y., Fukumoto, N. & Koibuchi, M., 2021 3, Proceedings - 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2021. Institute of Electrical and Electronics Engineers Inc., p. 143-147 5 p. 9407224. (Proceedings - 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2021).
研究成果: Conference contribution
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
1 被引用数 (Scopus)

松谷宏紀

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ネットワーク

詳細を開く

An area-efficient recurrent neural network core for unsupervised time-series anomaly detection

An Edge Attribute-Wise Partitioning and Distributed Processing of R-GCN Using GPUs

An FPGA Acceleration and Optimization Techniques for 2D LiDAR SLAM Algorithm^∗

Low-Latency Low-Energy Memory-Cube Networks using Dual-Voltage Datapaths

Accelerating Deep Learning using Multiple GPUs and FPGA-Based 10GbE Switch

松谷 宏紀

フィンガープリント

ネットワーク

研究成果

An area-efficient recurrent neural network core for unsupervised time-series anomaly detection

An Edge Attribute-Wise Partitioning and Distributed Processing of R-GCN Using GPUs

An FPGA Acceleration and Optimization Techniques for 2D LiDAR SLAM Algorithm∗

Low-Latency Low-Energy Memory-Cube Networks using Dual-Voltage Datapaths

Accelerating Deep Learning using Multiple GPUs and FPGA-Based 10GbE Switch

松谷宏紀

An FPGA Acceleration and Optimization Techniques for 2D LiDAR SLAM Algorithm^∗