国際会議発表 (査読有り)

• Jens Domke, Satoshi Matsuoka, Ivan R. Ivanov, Yuki Tsushima, Tomoya Yuki, Akihiro Nomura, Shin’ichi Miura, Nic McDonald, Dennis L. Floyd, Nicolas Dubé. HyperX Topology: First At-Scale Implementation and Comparison to the Fat-Tree, International Conference for High Performance Computing, Networking, Storage and Analysis (SC '19), SC '19 Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, Association for Computing Machinery, No. 40, Nov. 2019.
• Peng Chen, Mohamed Wahib, Shinichiro Takizawa, Ryousei Takano, Satoshi Matsuoka. A versatile software systolic execution model for GPU memory-bound kernels, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, Nov. 2019.
• Peng Chen, Mohamed Wahib, Shinichiro Takizawa, Ryousei Takano, Satoshi Matsuoka. iFDK: a scalable framework for instant high-resolution image reconstruction, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, Nov. 2019.
• Yosuke Oyama, Naoya Maruyama, Nikoli Dryden, Peter Harrington, Jan Balewski, Satoshi Matsuoka, Marc Snir, Peter Nugent, Brian Van Essen. Toward Training a Large 3D Cosmological CNN with Hybrid Parallelization, 48th International Conference on Parallel Processing (ICPP 2019), Aug. 2019.
• Yohei Tsuji, Kazuki Osawa, Yuichiro Ueno, Akira Naruse, Rio Yokota, Satoshi Matsuoka. Performance Optimizations and Analysis of Distributed Deep Learning with Approximated Second-Order Optimization Method, International Conference on Parallel Processing: The 1st Workshop on Parallel and Distributed Machine Learning, Proceedings of the 48th International Conference on Parallel Processing: Workshops, No. 21, Aug. 2019.
• Kazuki Osawa, Yohei Tsuji, Yuichiro Ueno, Akira Naruse, Rio Yokota, Satoshi Matsuoka. Second-order Optimization Method for Large Mini-batch: Training ResNet-50 on ImageNet in 35 Epochs, IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 2019.
• Yusuke Nagasaka, Akira Nukada, Ryosuke Kojima, Satoshi Matsuoka. Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks, 19th Annual IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing (CCGrid 2019), Proceedings of the 19th Annual IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing (CCGRID), IEEE, May 2019.
• Hideyuki Jitsumoto, Yuya Kobayashi, Akihiro Nomura, Satoshi Matsuoka. MH-QEMU: Memory-State-Aware Fault Injection Platform, Supercomputing Asia 2019, Supercomputing Frontiers. SCFA 2019. Lecture Notes in Computer Science, Springer, vol. 11416, pp. 71-85, Apr. 2019.
• Yosuke Oyama, Tal Ben-Nun, Torsten Hoefler, Satoshi Matsuoka. u-cuDNN: Accelerating Deep Learning Frameworks with Micro-Batches, GPU Technology Conference 2019 (GTC2019), Mar. 2019.

国際会議発表 (査読なし・不明)

• Jens Domke, Satoshi Matsuoka, Ivan R. Ivanov, Yuki Tsushima, Tomoya Yuki, Akihiro Nomura, Shin'ichi Miura, Nic McDonald, Dennis L. Floyd, Nicolas Dube. The First Supercomputer with HyperX Topology: A Viable Alternative to Fat-Trees?, 26th Symposium on High-Performance Interconnects (IEEE Hot Interconnects 2019), Aug. 2019.
• Yosuke Oyama, Naoya Maruyama, Nikoli Dryden, Peter Harrington, Jan Balewski, Satoshi Matsuoka, Marc Snir, Peter Nugent, Brian Van Essen. Toward Training a Large 3D Cosmological CNN with Hybrid Parallelization, The 1st Workshop on Parallel and Distributed Machine Learning 2019 (PDML'19), Aug. 2019.

国内会議発表 (査読なし・不明)

• 八島慶汰, 石川康太, 佐藤育郎, 野村哲弘, 横田理央, 松岡聡. 早期終了タイミングを予測する：深層学習における確率勾配の分布の変化点検出, 第22回情報論的学習理論ワークショップ (IBIS 2019), Nov. 2019.
• 土川 稔生, 遠藤 敏夫, 野村 哲弘, 近藤正章, 大山 洋介, 松岡 聡. メモリアクセスデータを用いた機械学習によるアプリケーションの類型化, 並列/分散/協調処理に関するサマーワークショップ(SWoPP2019)， 情報処理学会研究報告, 2019-HPC-170 No.12, July 2019.
• Yosuke Oyama, Naoya Maruyama, Nikoli Dryden, Peter Harrington, Jan Balewski, Satoshi Matsuoka, Marc Snir, Peter Nugent, Brian Van Essen. Toward Training a Large 3D Cosmological CNN with Hybrid Parallelization, 第170回ハイパフォーマンスコンピューティング研究発表会, July 2019.

特許など

• 松岡聡, 野村哲弘, 大山洋介, 佐藤 育郎　, 西村 裕紀　. 予測装置、予測方法および予測プログラム. 特許. 登録. 国立大学法人東京工業大学, 株式会社デンソー, 株式会社デンソーアイティーラボラトリ. 2016/07/29. 特願2016-150221. 2018/02/01. 特開2018-018422. 特許第6635265号. 2019/12/27 2019.

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