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2020 – today
- 2025
[j9]Franck Cappello
, Mario C. Acosta, Emmanuel Agullo, Hartwig Anzt, Jon Calhoun, Sheng Di, Luc Giraud, Thomas Grützmacher, Sian Jin, Kentaro Sano, Kento Sato, Amarjit Singh, Dingwen Tao, Jiannan Tian, Tomohiro Ueno, Robert Underwood, Frédéric Vivien, Xavier Yepes, Kazutomo Yoshii, Boyuan Zhang:
Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing. Future Gener. Comput. Syst. 163: 107323 (2025)- 2024
- [j8]Taiyu Wang, Qinglin Yang, Kaiming Zhu, Junbo Wang, Chunhua Su, Kento Sato:
LDS-FL: Loss Differential Strategy Based Federated Learning for Privacy Preserving. IEEE Trans. Inf. Forensics Secur. 19: 1015-1030 (2024) - [c34]Xiang Fu, Shiman Meng, Weiping Zhang, Luanzheng Guo, Kento Sato, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Martin Schulz:
Distributed Order Recording Techniques for Efficient Record-and-Replay of Multi - Threaded Programs. CLUSTER 2024: 27-38 - [c33]Ryubu Hosoki, Kento Sato, Toshio Endo, Julien Bigot, Edouard Audit:
An Optimization Pass for Training Speed-Up and Strategy Search in 3D Parallelism. CLUSTER Workshops 2024: 146-147 - [c32]Xiang Fu, Xin Huang, Wubiao Xu, Weiping Zhang, Shiman Meng, Luanzheng Guo, Kento Sato:
Benchmarking Variables for Checkpointing in HPC Applications. IPDPS (Workshops) 2024: 406-413 - [c31]Haiwen Chen, Songcan Yu, Shupeng Zhao, Junbo Wang, Kaiming Zhu, Kento Sato:
FedSD: Cross-Heterogeneous Federated Learning Based on Self-distillation. PRICAI (2) 2024: 108-120 - [c30]Ana Luisa Veroneze Solórzano, Kento Sato, Keiji Yamamoto, Fumiyoshi Shoji, Jim M. Brandt, Benjamin Schwaller, Sara Petra Walton, Jennifer Green, Devesh Tiwari:
Toward Sustainable HPC: In-Production Deployment of Incentive-Based Power Efficiency Mechanism on the Fugaku Supercomputer. SC 2024: 24 - [c29]Xiang Fu, Weiping Zhang, Shiman Meng, Xin Huang, Wubiao Xu, Luanzheng Guo, Kento Sato:
AutoCheck: Automatically Identifying Variables for Checkpointing by Data Dependency Analysis. SC 2024: 99 - [e4]Alexandru Costan, Bogdan Nicolae, Kento Sato:
Proceedings of the 14th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures, FlexScience2024, Pisa, Italy, June 3-4, 2024. ACM 2024, ISBN 979-8-4007-0642-4 [contents] - [i6]Steven Wei Der Chien, Kento Sato, Artur Podobas, Niclas Jansson, Stefano Markidis, Michio Honda:
Accelerating Scientific Application through Transparent I/O Interposition. CoRR abs/2401.14576 (2024) - [i5]Xiang Fu, Weiping Zhang, Xin Huang, Shiman Meng, Wubiao Xu, Luanzheng Guo, Kento Sato:
AutoCheck: Automatically Identifying Variables for Checkpointing by Data Dependency Analysis. CoRR abs/2408.06082 (2024) - [i4]Andrès Rubio Proaño, Kento Sato:
Understanding Power Consumption Metric on Heterogeneous Memory Systems. CoRR abs/2408.06579 (2024) - 2023
- [j7]Xi Zhu, Junbo Wang, Wuhui Chen, Kento Sato:
Model compression and privacy preserving framework for federated learning. Future Gener. Comput. Syst. 140: 376-389 (2023) - [j6]Amitangshu Pal, Junbo Wang, Yilang Wu, Krishna Kant, Zhi Liu, Kento Sato:
Social Media Driven Big Data Analysis for Disaster Situation Awareness: A Tutorial. IEEE Trans. Big Data 9(1): 1-21 (2023) - [c28]Steven Wei Der Chien, Kento Sato, Artur Podobas, Niclas Jansson, Stefano Markidis, Michio Honda:
Improving Cloud Storage Network Bandwidth Utilization of Scientific Applications. APNet 2023: 172-173 - [c27]Andrès Rubio Proaño, Kento Sato:
Understanding Power Consumption Metric on Heterogeneous Memory Systems. ICPADS 2023: 2859-2862 - [c26]Xiang Fu, Hao Tang, Huimin Liao, Xin Huang, Wubiao Xu, Shiman Meng, Weiping Zhang, Luanzheng Guo, Kento Sato:
A High-dimensional Algorithm-Based Fault Tolerance Scheme. IPDPS Workshops 2023: 326-330 - [e3]Alexandru Costan, Bogdan Nicolae, Kento Sato:
Proceedings of the 13th Workshop on AI and Scientific Computing at Scale using Flexible Computing, FlexScience 2023, Orlando, FL, USA, 20 June 2023. ACM 2023 [contents] - [i3]Takaaki Fukai, Kento Sato, Takahiro Hirofuchi:
Analyzing I/O Performance of a Hierarchical HPC Storage System for Distributed Deep Learning. CoRR abs/2301.01494 (2023) - [i2]Takahiro Hirofuchi, Takaaki Fukai, Akram Ben Ahmed, Ryousei Takano, Kento Sato:
METICULOUS: An FPGA-based Main Memory Emulator for System Software Studies. CoRR abs/2309.06565 (2023) - 2022
- [j5]Feiyuan Liang, Qinglin Yang, Ruiqi Liu, Junbo Wang, Kento Sato, Jian Guo:
Semi-Synchronous Federated Learning Protocol With Dynamic Aggregation in Internet of Vehicles. IEEE Trans. Veh. Technol. 71(5): 4677-4691 (2022) - [c25]Alexandru Costan, Bogdan Nicolae, Kento Sato:
FlexScience'22: 12th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures. HPDC 2022: 287 - [c24]Takaaki Fukai, Kento Sato, Takahiro Hirofuchi:
Analyzing I/O Performance of a Hierarchical HPC Storage System for Distributed Deep Learning. PDCAT 2022: 81-93 - [e2]Alexandru Costan, Bogdan Nicolae, Kento Sato:
FlexScience '22: Proceedings of the 12th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures, Minneapolis, MN, USA, 1 July 2022. ACM 2022, ISBN 978-1-4503-9309-6 [contents] - 2021
- [j4]Martin Schulz, Kento Sato:
Guest Editorial: Special Issue on Computing Frontiers. J. Signal Process. Syst. 93(4): 389-390 (2021) - [c23]Rupak Roy, Kento Sato, Subhadeep Bhattacharya, Xingang Fang, Yasumasa Joti, Takaki Hatsui, Toshiyuki Nishiyama Hiraki, Jian Guo, Weikuan Yu:
Compression of Time Evolutionary Image Data through Predictive Deep Neural Networks. CCGRID 2021: 41-50 - [c22]Akihiro Tabuchi, Koichi Shirahata, Masafumi Yamazaki, Akihiko Kasagi, Takumi Honda, Kouji Kurihara, Kentaro Kawakami, Tsuguchika Tabaru, Naoto Fukumoto, Akiyoshi Kuroda, Takaaki Fukai, Kento Sato:
The 16, 384-node Parallelism of 3D-CNN Training on An Arm CPU based Supercomputer. HiPC 2021: 152-161 - [c21]Steven Farrell, Murali Emani, Jacob Balma, Lukas Drescher, Aleksandr Drozd, Andreas Fink, Geoffrey C. 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, Henrique Mendonça, Kazuki Minami, Prabhat Ram, Takashi Sawada, Mallikarjun Shankar, Tom St. John, Akihiro Tabuchi, Venkatram Vishwanath, Mohamed Wahib, Masafumi Yamazaki, Junqi Yin:
MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. MLHPC@SC 2021: 33-45 - [i1]Steven Farrell, Murali Emani, Jacob Balma, Lukas Drescher, Aleksandr Drozd, Andreas Fink, Geoffrey C. 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, Henrique Mendonça, Kazuki Minami, Prabhat Ram, Takashi Sawada, Mallikarjun Shankar, Tom St. John, Akihiro Tabuchi, Venkatram Vishwanath, Mohamed Wahib, Masafumi Yamazaki, Junqi Yin:
MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. CoRR abs/2110.11466 (2021) - 2020
- [c20]Tonmoy Dey, Kento Sato, Bogdan Nicolae, Jian Guo, Jens Domke, Weikuan Yu, Franck Cappello, Kathryn M. Mohror:
Optimizing Asynchronous Multi-Level Checkpoint/Restart Configurations with Machine Learning. IPDPS Workshops 2020: 1036-1043
2010 – 2019
- 2019
- [j3]Kento Sato, Ignacio Laguna, Gregory L. Lee, Martin Schulz, Christopher M. Chambreau, Simone Atzeni, Michael Bentley, Ganesh Gopalakrishnan, Zvonimir Rakamaric, Geof Sawaya, Joachim Protze, Dong H. Ahn:
Pruners. Int. J. High Perform. Comput. Appl. 33(5) (2019) - [j2]Dylan Chapp, Danny Rorabaugh, Kento Sato, Dong H. Ahn, Michela Taufer:
A three-phase workflow for general and expressive representations of nondeterminism in HPC applications. Int. J. High Perform. Comput. Appl. 33(6) (2019) - [e1]Francesca Palumbo, Michela Becchi, Martin Schulz, Kento Sato:
Proceedings of the 16th ACM International Conference on Computing Frontiers, CF 2019, Alghero, Italy, April 30 - May 2, 2019. ACM 2019, ISBN 978-1-4503-6685-4 [contents] - 2018
- [j1]Dylan Chapp, Kento Sato, Dong H. Ahn, Michela Taufer:
Record-and-Replay Techniques for HPC Systems: A Survey. Supercomput. Front. Innov. 5(1): 11-30 (2018) - [c19]Yue Zhu, Teng Wang, Kathryn M. Mohror, Adam Moody, Kento Sato, Muhib Khan, Weikuan Yu:
Direct-FUSE: Removing the Middleman for High-Performance FUSE File System Support. ROSS@HPDC 2018: 6:1-6:8 - [c18]Tianqi Xu, Kento Sato, Satoshi Matsuoka:
Explorations of Data Swapping on Burst Buffer. ICPADS 2018: 517-526 - [c17]Yue Zhu, Fahim Chowdhury, Huansong Fu, Adam Moody, Kathryn M. Mohror, Kento Sato, Weikuan Yu:
Entropy-Aware I/O Pipelining for Large-Scale Deep Learning on HPC Systems. MASCOTS 2018: 145-156 - 2017
- [c16]Kevin A. Brown, Tianqi Xu, Keita Iwabuchi, Kento Sato, Adam Moody, Kathryn M. Mohror, Nikhil Jain, Abhinav Bhatele, Martin Schulz, Roger A. Pearce, Maya B. Gokhale, Satoshi Matsuoka:
Accelerating Big Data Infrastructure and Applications (Ongoing Collaboration). ICDCS Workshops 2017: 343-347 - [c15]Teng Wang, Adam Moody, Yue Zhu, Kathryn M. Mohror, Kento Sato, Tanzima Z. Islam, Weikuan Yu:
MetaKV: A Key-Value Store for Metadata Management of Distributed Burst Buffers. IPDPS 2017: 1174-1183 - [c14]Kento Sato, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Martin Schulz, Christopher M. Chambreau:
Noise Injection Techniques to Expose Subtle and Unintended Message Races. PPoPP 2017: 89-101 - 2016
- [c13]Tianqi Xu, Kento Sato, Satoshi Matsuoka:
CloudBB: Scalable I/O Accelerator for Shared Cloud Storage. ICPADS 2016: 509-518 - [c12]Teng Wang, Kathryn M. Mohror, Adam Moody, Kento Sato, Weikuan Yu:
An ephemeral burst-buffer file system for scientific applications. SC 2016: 807-818 - 2015
- [c11]Moshe Gabel, Kento Sato, Daniel Keren, Satoshi Matsuoka, Assaf Schuster:
Latent Fault Detection With Unbalanced Workloads. EDBT/ICDT Workshops 2015: 118-124 - [c10]Naoto Sasaki, Kento Sato, Toshio Endo, Satoshi Matsuoka:
Exploration of Lossy Compression for Application-Level Checkpoint/Restart. IPDPS 2015: 914-922 - [c9]Kento Sato, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Martin Schulz:
Clock delta compression for scalable order-replay of non-deterministic parallel applications. SC 2015: 62:1-62:12 - 2014
- [c8]Kento Sato, Kathryn M. Mohror, Adam Moody, Todd Gamblin, Bronis R. de Supinski, Naoya Maruyama, Satoshi Matsuoka:
A User-Level InfiniBand-Based File System and Checkpoint Strategy for Burst Buffers. CCGRID 2014: 21-30 - [c7]Kento Sato, Adam Moody, Kathryn M. Mohror, Todd Gamblin, Bronis R. de Supinski, Naoya Maruyama, Satoshi Matsuoka:
FMI: Fault Tolerant Messaging Interface for Fast and Transparent Recovery. IPDPS 2014: 1225-1234 - 2013
- [c6]Takafumi Saito, Kento Sato, Hitoshi Sato, Satoshi Matsuoka:
Energy-aware I/O optimization for checkpoint and restart on a NAND flash memory system. FTXS 2013: 41-48 - 2012
- [c5]Kento Sato, Naoya Maruyama, Kathryn M. Mohror, Adam Moody, Todd Gamblin, Bronis R. de Supinski, Satoshi Matsuoka:
Design and modeling of a non-blocking checkpointing system. SC 2012: 19 - [c4]Akira Nukada, Kento Sato, Satoshi Matsuoka:
Scalable multi-GPU 3-D FFT for TSUBAME 2.0 supercomputer. SC 2012: 44 - 2011
- [c3]Naoya Maruyama, Tatsuo Nomura, Kento Sato, Satoshi Matsuoka:
Physis: an implicitly parallel programming model for stencil computations on large-scale GPU-accelerated supercomputers. SC 2011: 11:1-11:12
2000 – 2009
- 2009
- [c2]Kento Sato, Hitoshi Sato, Satoshi Matsuoka:
A Model-Based Algorithm for Optimizing I/O Intensive Applications in Clouds Using VM-Based Migration. CCGRID 2009: 466-471 - 2008
- [c1]Kento Sato, Hitoshi Sato, Satoshi Matsuoka:
Model-based optimization for data-intensive application on virtual cluster. GRID 2008: 367-368
Coauthor Index
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