Kento Sato

According to our database, Kento Sato authored at least 62 papers between 2008 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Combining System- and User-Level Approaches to Improving Energy Efficiency in GPU-Based Supercomputers.

Kohei Yoshida, Hayato Yamaki, Hiroki Honda, Kento Sato, Shinobu Miwa

Proceedings of the Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region Workshops, 2026

ROIX-Comp: Optimizing X-ray Computed Tomography Imaging Strategy for Data Reduction and Reconstruction.

Amarjit Singh, Kento Sato, Kohei Yoshida, Kentaro Uesugi, Yasumasa Joti, Takaki Hatsui, Andrès Rubio Proaño

Proceedings of the Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region, 2026

Optimizing Intra-Layer Parallel Communication for LLM Training on Systems with Fully-Connected Mesh GPU Topology.

Ryubu Hosoki, Kento Sato, Toshio Endo, Julien Bigot, Edouard Audit

Proceedings of the Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region, 2026

Runtime Prediction for Local Deployment of Large Language Models: A Case Study on Qwen Models Covering LoRA Fine-Tuning, RAG, and Inference.

Jian Guo, Jianwen Wei, Yufei Cheng, Jiajie Sheng, Yijun Wu, Kento Sato

Proceedings of the Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region Workshops, 2026

System Software Utilization on an ARM-Based Supercomputer: Insights from a Production-Scale System.

Yosuke Asai, Kento Sato, Keiji Yamamoto, Hitoshi Murai, Kohei Yoshida

Proceedings of the Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region Workshops, 2026

2025

VAHRM: Variation-Aware Resource Management in Heterogeneous Supercomputing Systems.

Kohei Yoshida, Ryuichi Sakamoto, Kento Sato, Abhinav Bhatele, Hayato Yamaki, Hiroki Honda, Shinobu Miwa

IEEE Trans. Parallel Distributed Syst., August, 2025

Adaptive Model Compression for Efficient Federated Learning in IoT Systems.

Xi Zhu, Junbo Wang, Kento Sato, Zibin Zheng

IEEE Internet Things J., July, 2025

Paradigm Shift in Infrastructure Inspection Technology: Leveraging High-performance Imaging and Advanced AI Analytics to Inspect Road Infrastructure.

Du Wu, Enzhi Zhang, Isaac Lyngaas, Xiao Wang, Amir Ziabari, Tao Luo, Peng Chen, Kento Sato, Fumiyoshi Shoji, Takaki Hatsui, Kentaro Uesugi, Akira Seo, Yasuhito Sakai, Toshio Endo, Tetsuya Ishikawa, Satoshi Matsuoka, Mohamed Wahib

CoRR, May, 2025

Lossy Compression of Scientific Data: Applications Constrains and Requirements.

Franck Cappello, Allison H. Baker, Ebru Bozdag, Martin Burtscher, Kyle Chard, Sheng Di, Paul Christopher O'Grady, Peng Jiang, Shaomeng Li, Erik Lindahl, Peter Lindstrom, Magnus Lundborg, Kai Zhao, Xin Liang, Masaru Nagaso, Kento Sato, Amarjit Singh, Seung Woo Son, Dingwen Tao, Jiannan Tian, Robert Underwood, Kazutomo Yoshii, Danylo Lykov, Yuri Alexeev, Kyle Gerard Felker

CoRR, March, 2025

Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing.

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

Future Gener. Comput. Syst., 2025

LLMTailor: A Layer-wise Tailoring Tool for Efficient Checkpointing of Large Language Models.

Minqiu Sun, Xin Huang, Luanzheng Guo, Nathan R. Tallent, Kento Sato, Dong Dai

Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, 2025

What to Support When You're Compressing: The State of Practice Gaps and Opportunities for Scientific Data Compression.

Franck Cappello, Robert Underwood, Yuri Alexeev, Allison H. Baker, Ebru Bozdag, Martin Burtscher, Kyle Chard, Sheng Di, Kyle Gerard Felker, Paul Christopher O'Grady, Hanqi Guo, Yafan Huang, Peng Jiang, Sian Jin, Petter Johansson, Shaomeng Li, Xin Liang, Erik Lindahl, Peter Lindstrom, Zarija Lukic, Magnus Lundborg, Danylo Lykov, Masaru Nagaso, Kento Sato, Amarjit Singh, Seung Woo Son, Shihui Song, William Tang, Dingwen Tao, Jiannan Tian, Kazutomo Yoshii, Kai Zhao

Proceedings of the International Conference for High Performance Computing, 2025

Refactoring TEZip: Integrating Python-Based Predictive Compression into an HPC C++/LibTorch Environment.

Mina Yousef, Amarjit Singh, Kento Sato

Proceedings of the 34th International Symposium on High-Performance Parallel and Distributed Computing, 2025

Evaluation of Trade-Off Between Compression Ratio and Hardware Cost for Adaptive Bandwidth Compression Hardware Platform.

Tomohiro Ueno, Kaito Kitazume, Masato Kiyama, Kazutomo Yoshii, Kento Sato, Norihisa Fujita, Ryohei Kobayashi, Taisuke Boku, Kentaro Sano

Proceedings of the IEEE Symposium on Low-Power and High-Speed Chips and Systems, 2025

<i>ParaLog: </i> Consistent Host-side Logging for Parallel Checkpoints.

Steven W. D. Chien, Kento Sato, Artur Podobas, Niclas Jansson, Stefano Markidis, Michio Honda

Proceedings of the 2025 ACM Symposium on Cloud Computing, 2025

2024

LDS-FL: Loss Differential Strategy Based Federated Learning for Privacy Preserving.

Taiyu Wang, Qinglin Yang, Kaiming Zhu, Junbo Wang, Chunhua Su, Kento Sato

IEEE Trans. Inf. Forensics Secur., 2024

Accelerating Scientific Application through Transparent I/O Interposition.

Steven Wei Der Chien, Kento Sato, Artur Podobas, Niclas Jansson, Stefano Markidis, Michio Honda

CoRR, 2024

An Efficient Checkpointing System for Large Machine Learning Model Training.

Wubiao Xu, Xin Huang, Shiman Meng, Weiping Zhang, Luanzheng Guo, Kento Sato

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

Toward Sustainable HPC: In-Production Deployment of Incentive-Based Power Efficiency Mechanism on the Fugaku Supercomputer.

Ana Luisa Veroneze Solórzano, Kento Sato, Keiji Yamamoto, Fumiyoshi Shoji, Jim M. Brandt, Benjamin Schwaller, Sara Petra Walton, Jennifer Green, Devesh Tiwari

Proceedings of the International Conference for High Performance Computing, 2024

Scrutinizing Variables for Checkpoint Using Automatic Differentiation.

Xin Huang, Wubiao Xu, Shiman Meng, Weiping Zhang, Xiang Fu, Luanzheng Guo, Kento Sato

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

AutoCheck: Automatically Identifying Variables for Checkpointing by Data Dependency Analysis.

Xiang Fu, Weiping Zhang, Shiman Meng, Xin Huang, Wubiao Xu, Luanzheng Guo, Kento Sato

Proceedings of the International Conference for High Performance Computing, 2024

FedSD: Cross-Heterogeneous Federated Learning Based on Self-distillation.

Haiwen Chen, Songcan Yu, Shupeng Zhao, Junbo Wang, Kaiming Zhu, Kento Sato

Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

Benchmarking Variables for Checkpointing in HPC Applications.

Xiang Fu, Xin Huang, Wubiao Xu, Weiping Zhang, Shiman Meng, Luanzheng Guo, Kento Sato

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

An Optimization Pass for Training Speed-Up and Strategy Search in 3D Parallelism.

Ryubu Hosoki, Kento Sato, Toshio Endo, Julien Bigot, Edouard Audit

Proceedings of the IEEE International Conference on Cluster Computing, 2024

Distributed Order Recording Techniques for Efficient Record-and-Replay of Multi - Threaded Programs.

Xiang Fu, Shiman Meng, Weiping Zhang, Luanzheng Guo, Kento Sato, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Martin Schulz

Proceedings of the IEEE International Conference on Cluster Computing, 2024

2023

Social Media Driven Big Data Analysis for Disaster Situation Awareness: A Tutorial.

Amitangshu Pal, Junbo Wang, Yilang Wu, Krishna Kant, Zhi Liu, Kento Sato

IEEE Trans. Big Data, February, 2023

Model compression and privacy preserving framework for federated learning.

Xi Zhu, Junbo Wang, Wuhui Chen, Kento Sato

Future Gener. Comput. Syst., 2023

METICULOUS: An FPGA-based Main Memory Emulator for System Software Studies.

Takahiro Hirofuchi, Takaaki Fukai, Akram Ben Ahmed, Ryousei Takano, Kento Sato

CoRR, 2023

A High-dimensional Algorithm-Based Fault Tolerance Scheme.

Xiang Fu, Hao Tang, Huimin Liao, Xin Huang, Wubiao Xu, Shiman Meng, Weiping Zhang, Luanzheng Guo, Kento Sato

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Understanding Power Consumption Metric on Heterogeneous Memory Systems.

Andrès Rubio Proaño, Kento Sato

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Improving Cloud Storage Network Bandwidth Utilization of Scientific Applications.

Steven Wei Der Chien, Kento Sato, Artur Podobas, Niclas Jansson, Stefano Markidis, Michio Honda

Proceedings of the 7th Asia-Pacific Workshop on Networking, 2023

2022

Semi-Synchronous Federated Learning Protocol With Dynamic Aggregation in Internet of Vehicles.

Feiyuan Liang, Qinglin Yang, Ruiqi Liu, Junbo Wang, Kento Sato, Jian Guo

IEEE Trans. Veh. Technol., 2022

Analyzing I/O Performance of a Hierarchical HPC Storage System for Distributed Deep Learning.

Takaaki Fukai, Kento Sato, Takahiro Hirofuchi

Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2022

FlexScience'22: 12th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures.

Alexandru Costan, Bogdan Nicolae, Kento Sato

Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022

2021

Guest Editorial: Special Issue on Computing Frontiers.

Martin Schulz, Kento Sato

J. Signal Process. Syst., 2021

MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems.

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

CoRR, 2021

MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems.

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

Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021

The 16, 384-node Parallelism of 3D-CNN Training on An Arm CPU based Supercomputer.

Akihiro Tabuchi, Koichi Shirahata, Masafumi Yamazaki, Akihiko Kasagi, Takumi Honda, Kouji Kurihara, Kentaro Kawakami, Tsuguchika Tabaru, Naoto Fukumoto, Akiyoshi Kuroda, Takaaki Fukai, Kento Sato

Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

Compression of Time Evolutionary Image Data through Predictive Deep Neural Networks.

Rupak Roy, Kento Sato, Subhadeep Bhattacharya, Xingang Fang, Yasumasa Joti, Takaki Hatsui, Toshiyuki Nishiyama Hiraki, Jian Guo, Weikuan Yu

Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020

Optimizing Asynchronous Multi-Level Checkpoint/Restart Configurations with Machine Learning.

Tonmoy Dey, Kento Sato, Bogdan Nicolae, Jian Guo, Jens Domke, Weikuan Yu, Franck Cappello, Kathryn M. Mohror

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

2019

Pruners.

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

Int. J. High Perform. Comput. Appl., 2019

A three-phase workflow for general and expressive representations of nondeterminism in HPC applications.

Dylan Chapp, Danny Rorabaugh, Kento Sato, Dong H. Ahn, Michela Taufer

Int. J. High Perform. Comput. Appl., 2019

2018

Record-and-Replay Techniques for HPC Systems: A Survey.

Dylan Chapp, Kento Sato, Dong H. Ahn, Michela Taufer

Supercomput. Front. Innov., 2018

Entropy-Aware I/O Pipelining for Large-Scale Deep Learning on HPC Systems.

Yue Zhu, Fahim Chowdhury, Huansong Fu, Adam Moody, Kathryn M. Mohror, Kento Sato, Weikuan Yu

Proceedings of the 26th IEEE International Symposium on Modeling, 2018

Explorations of Data Swapping on Burst Buffer.

Tianqi Xu, Kento Sato, Satoshi Matsuoka

Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

Direct-FUSE: Removing the Middleman for High-Performance FUSE File System Support.

Yue Zhu, Teng Wang, Kathryn M. Mohror, Adam Moody, Kento Sato, Muhib Khan, Weikuan Yu

Proceedings of the 8th International Workshop on Runtime and Operating Systems for Supercomputers, 2018

2017

Noise Injection Techniques to Expose Subtle and Unintended Message Races.

Kento Sato, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Martin Schulz, Christopher M. Chambreau

Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2017

MetaKV: A Key-Value Store for Metadata Management of Distributed Burst Buffers.

Teng Wang, Adam Moody, Yue Zhu, Kathryn M. Mohror, Kento Sato, Tanzima Z. Islam, Weikuan Yu

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

Accelerating Big Data Infrastructure and Applications (Ongoing Collaboration).

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

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems Workshops, 2017

2016

An ephemeral burst-buffer file system for scientific applications.

Teng Wang, Kathryn M. Mohror, Adam Moody, Kento Sato, Weikuan Yu

Proceedings of the International Conference for High Performance Computing, 2016

CloudBB: Scalable I/O Accelerator for Shared Cloud Storage.

Tianqi Xu, Kento Sato, Satoshi Matsuoka

Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

2015

Clock delta compression for scalable order-replay of non-deterministic parallel applications.

Kento Sato, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Martin Schulz

Proceedings of the International Conference for High Performance Computing, 2015

Exploration of Lossy Compression for Application-Level Checkpoint/Restart.

Naoto Sasaki, Kento Sato, Toshio Endo, Satoshi Matsuoka

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

Latent Fault Detection With Unbalanced Workloads.

Moshe Gabel, Kento Sato, Daniel Keren, Satoshi Matsuoka, Assaf Schuster

Proceedings of the Workshops of the EDBT/ICDT 2015 Joint Conference (EDBT/ICDT), 2015

2014

FMI: Fault Tolerant Messaging Interface for Fast and Transparent Recovery.

Kento Sato, Adam Moody, Kathryn M. Mohror, Todd Gamblin, Bronis R. de Supinski, Naoya Maruyama, Satoshi Matsuoka

Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

A User-Level InfiniBand-Based File System and Checkpoint Strategy for Burst Buffers.

Kento Sato, Kathryn M. Mohror, Adam Moody, Todd Gamblin, Bronis R. de Supinski, Naoya Maruyama, Satoshi Matsuoka

Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014

2013

Energy-aware I/O optimization for checkpoint and restart on a NAND flash memory system.

Takafumi Saito, Kento Sato, Hitoshi Sato, Satoshi Matsuoka

Proceedings of the 3rd Workshop on Fault-tolerance for HPC at extreme scale, 2013

2012

Design and modeling of a non-blocking checkpointing system.

Kento Sato, Naoya Maruyama, Kathryn M. Mohror, Adam Moody, Todd Gamblin, Bronis R. de Supinski, Satoshi Matsuoka

Proceedings of the SC Conference on High Performance Computing Networking, 2012

Scalable multi-GPU 3-D FFT for TSUBAME 2.0 supercomputer.

Akira Nukada, Kento Sato, Satoshi Matsuoka

Proceedings of the SC Conference on High Performance Computing Networking, 2012

2011

Physis: an implicitly parallel programming model for stencil computations on large-scale GPU-accelerated supercomputers.

Naoya Maruyama, Tatsuo Nomura, Kento Sato, Satoshi Matsuoka

Proceedings of the Conference on High Performance Computing Networking, 2011

2009

A Model-Based Algorithm for Optimizing I/O Intensive Applications in Clouds Using VM-Based Migration.

Kento Sato, Hitoshi Sato, Satoshi Matsuoka

Proceedings of the 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, 2009

2008

Model-based optimization for data-intensive application on virtual cluster.

Kento Sato, Hitoshi Sato, Satoshi Matsuoka

Proceedings of the 9th IEEE/ACM International Conference on Grid Computing (Grid 2008), Tsukuba, Japan, September 29, 2008