FY2024

FY2023

FY2022

• Andrès Rubio Proaño and Kento Sato, “Memory Power Consumption on Heterogeneous Memory Systems”, 15th JLESC Workshop, Bordeaux, France, Mar. 2023 (Poster)
• Andrès Rubio Proaño and Kento Sato, “ Power Consumption Metric on Heterogeneous Memory Systems ”, the 5th R-CCS International Symposium (RCCS-IS5), Kobe, Japan, Feb. 2023 (Poster)
• Amarjit Singh and Kento Sato, “Research and Development of an Infrastructure for Big Data Collection, Analysis, and Utilization in Large Scale Research Facilities”, the 5th R-CCS International Symposium (RCCS-IS5), Kobe, Japan, Feb. 2023 (Poster)
• Takaaki Fukai, Kento Sato and Takahiro Hirofuchi, “Analyzing I/O Performance of a Hierarchical HPC Storage System for Distributed Deep Learning”, The 23rd International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT’22), December, 2022, Sendai, Japan
• Xi Zhu, Junbo Wang, Wuhui Chen, Kento Sato, “Model compression and privacy preserving framework for federated learning”, Future Generation Computer Systems, 2022, ISSN 0167-739X, https://doi.org/10.1016/j.future.2022.10.026
• T.N. Truong, F. Trahay, J. Domke, A. Drozd, E. Vatai, J. Liao, M. Wahib, B. Gerofi, “Why Globally Re-shuffle? Revisiting Data Shuffling in Large Scale Deep Learning,” in Proceedings of the 36th IEEE International Parallel & Distributed Processing Symposium (IPDPS), (Lyon, France), IEEE Computer Society, May 2022.
• S. Matsuoka, J. Domke, M. Wahib, A. Drozd, R. Bair, A.A. Chien, J.S. Vetter, J. Shalf, “Preparing for the Future—Rethinking Proxy Applications,” in Computing in Science & Engineering (CiSE), vol. 24, no. 2, May 2022.

FY2021

• Amitangshu Pal, Junbo Wang, Yilang Wu, Krishna Kant, Zhi Liu, Kento Sato, “Social Media Driven Big Data Analysis for Disaster Situation Awareness: A Tutorial”, in IEEE Transactions on Big Data, doi: 10.1109/TBDATA.2022.3158431, Mar., 2022
• Takaki Fukai, Kento Sato “Measurement of I/O Performance on a Hierarchical File System for Distributed Deep Neural Network”, the 4th R-CCS International Symposium (RCCS-IS4), Kobe, Japan, Feb. 2022 (Lightning Presentation)
• Andrès Rubio Proaño, “Determining Criteria for Data Allocation in Heterogeneous Memory Systems for HPC Applications”, the 4th R-CCS International Symposium (RCCS-IS4), Kobe, Japan, Feb. 2022 (Lightning Presentation)
• Ivan Ivanov, Jens Domke and Toshio Endo, “Automatic translation of CUDA code into high performance CPU code using LLVM IR transformations”, the 4th R-CCS International Symposium (RCCS-IS4), Kobe, Japan, Feb., 2022 (Lightning Presentation)
• Feiyuan Liang, Qinglin Yang, Ruiqi Liu, Junbo Wang, Kento Sato, Jian Guo, “Semi-Synchronous Federated Learning Protocol with Dynamic Aggregation in Internet of Vehicles,” in IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2022.3148872, Feb., 2022
• Akihiro Tabuchi, Koichi Shirahata, Masafumi Yamazaki, Akihiko Kasagi, Takumi Honda, Kouji Kurihara, Kentaro Kawakami, Tsuguchika Tabaru, Naoto Fukumoto, Akiyoshi Kuroda, Takaaki Fukai and Kento Sato, “The 16,384-node Parallelism of 3D-CNN Training on An Arm CPU based Supercomputer”, 28th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC2021), Nov, 2021
• Steven Farrell, Murali Emani, Jacob Balma, Lukas Drescher, Aleksandr Drozd, Andreas Fink, Geoffrey Fox, David Kanter, Thorsten Kurth, Peter Mattson, Dawei Mu, Amit Ruhela, Kento Sato,,Koichi Shirahata, Tsuguchika Tabaru, Aristeidis Tsaris, Jan Balewski, Ben Cumming, Takumi Danjo, Jens Domke, Takaaki Fukai, Naoto Fukumoto, Tatsuya Fukushi, Balazs Gerofi, Takumi Honda, Toshiyuki Imamura, Akihiko Kasagi, Kentaro Kawakami, Shuhei Kudo, Akiyoshi Kuroda, Maxime Martinasso, Satoshi Matsuoka, Kazuki Minami, Prabhat Ram, Takashi Sawada, Mallikarjun Shankar, Tom St. John, Akihiro Tabuchi, Venkatram Vishwanath, Mohamed Wahib, Masafumi Yamazaki, Junqi Yin and Henrique Mendonca, “MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems”, The Workshop on Machine Learning in High Performance Computing Environments (MLHPC) 2021 in conjunction with SC21, Nov, 2021
• J. Domke, “A64FX – Your Compiler You Must Decide!,” in Proceedings of the 2021 IEEE International Conference on Cluster Computing (CLUSTER), EAHPC Workshop, (Portland, Oregon, USA), IEEE Computer Society, Sept. 2021.
• 深井 貴明, 広渕 崇宏, 高野 了成, Akram Ben Ahmed, 佐藤 賢斗, “FPGAによる次世代メモリのエミュレーション機構” , 第180回 研究報告ハイパフォーマンスコンピューティング（HPC研究会）, July 2021.
• Rupak Roy, Kento Sato, Subhadeep Bhattacharya, Xingang Fang, Yasumasa Joti, Takaki Hatsui, Toshiyuki Hiraki, Jian Guo and Weikuan Yu, “Compression of Time Evolutionary Image Data through Predictive Deep Neural Networks”, In the proceedings of the 21 IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2021), May, 2021
• J. Domke, E. Vatai, A. Drozd, P. Chen, Y. Oyama, L. Zhang, S. Salaria, D. Mukunoki, A. Podobas, M. Wahib, S. Matsuoka, “Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws?,” in Proceedings of the 35th IEEE International Parallel & Distributed Processing Symposium (IPDPS), (Portland, Oregon, USA), IEEE Computer Society, May 2021.

FY2020

• I.R. Ivanov, J. Domke, A. Nomura, T. Endo, “Improved failover for HPC interconnects through localised routing restoration” Poster presented at The 3rd R-CCS International Symposium (RCCS-IS3), Kobe, Japan, Feb. 2021.
• Takaaki Fukai, Kento Sato, “Measurement of I/O performance for distributed deep neural networks on Fugaku”, The 3rd R-CCS International Symposium, Feb, 2021
• Atsushi Nukariya, Kazutoshi Akao, Jin Takahashi, Naoto Fukumoto, Kentaro Kawakami, Akiyoshi Kuroda, Kazuo Minami, Kento Sato and Satoshi Matsuoka, “HPC and AI Initiatives for Supercomputer Fugaku and Future Prospects”, Fujitsu Technical Review, November, 2020
• Tonmoy Dey, Kento Sato, Bogdan Nicolae, Jian Guo, Jens Domke, Weikuan Yu, Franck Cappello, and Kathryn Mohror. “Optimizing Asynchronous Multi-Level Checkpoint/Restart Configurations with Machine Learning.” The IEEE International Workshop on High-Performance Storage, May, 2020
• M. Besta, J. Domke, M. Schneider, M. Konieczny, S.D. Girolamo, T. Schneider, A. Singla, T. Hoefler, “High-Performance Routing with Multipathing and Path Diversity in Supercomputers and Data Centers,” accepted at the IEEE Transactions on Parallel and Distributed Systems (TPDS).
• M. Wahib, H. Zhang, T.T. Nguyen, A. Drozd, J. Domke, L. Zhang, R. Takano, S. Matsuoka, “Scaling Distributed Deep Learning Workloads beyond the Memory Capacity with KARMA,” in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC ’20, (Piscataway, NJ, USA), IEEE Press, Nov. 2020

FY2019

• Chapp, D., Rorabaugh, D., Sato, K., Ahn, D. H., & Taufer, M. (2019). A three-phase workflow for general and expressive representations of nondeterminism in HPC applications. The International Journal of High Performance Computing Applications, 33(6), 1175–1184.
• Tonmoy Dey, Kento Sato, Jian Guo, Bogdan Nicolae, Jens Domke, Weikuan Yu, Franck Cappello and Kathryn Mohror, “Optimizing Asynchronous Multi-level Checkpoint/Restart Configurations with Machine Learning”, In Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis 2019 (SC19), Regular Poster, Denver, USA, Nov, 2019.
• Rupak Roy, Kento Sato, Jian Guo, Jens Domke and Weikuan Yu, “Improving Data Compression with Deep Predictive Neural Network for Time Evolutional Data”, In Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis 2019 (SC19), Regular Poster, Denver, USA, Nov, 2019.
• J. Domke, S. Matsuoka, I.R. Ivanov, Y. Tsushima, T. Yuki, A. Nomura, S. Miura, N. McDonald, D.L. Floyd, N. Dube, “HyperX Topology: First at-scale Implementation and Comparison to the Fat-Tree,” accepted at the International Conference for High Performance Computing, Networking, Storage and Analysis, SC ’19, (Piscataway, NJ, USA), IEEE Press, Nov. 2019.
• Kento Sato, Ignacio Laguna, Gregory L Lee, Martin Schulz, Christopher M Cham-breau, Simone Atzeni, Michael Bentley, Ganesh Gopalakrishnan, Zvonimir Raka-maric, Geof Sawaya, Joachim Protze, and Dong H Ahn. 2019. Pruners: Provid-ing reproducibility for uncovering non-deterministic errors in runs on supercom-puters. Int. J. High Perform. Comput. Appl. 33, 5 (Sep 2019), 777–783.DOI:https://doi.org/10.1177/1094342019834621
• J. Domke, S. Matsuoka, I.R. Ivanov, Y. Tsushima, T. Yuki, A. Nomura, S. Miura, N. McDonald, D.L. Floyd, N. Dube, “The First Supercomputer with HyperX Topology: A Viable Alternative to Fat-Trees?,” peer-reviewed short paper presented at the 2019 IEEE 26th Symposium on High-Performance Interconnects (HOTI 26), Aug. 2019.
• J. Domke, K. Matsumura, M. Wahib, H. Zhang, K. Yashima, T. Tsuchikawa, Y. Tsuji, A. Podobas, S. Matsuoka, “Double-precision FPUs in High-Performance Computing: an Embarrassment of Riches?,” in Proceedings of the 33th IEEE International Parallel & Distributed Processing Symposium (IPDPS), (Rio de Janeiro, Brazil), IEEE Computer Society, May 2019.