Model-based optimization for data-intensive application on virtual cluster. - Kento Sato; Hitoshi Sato; Satoshi Matsuoka (GRID, 2008)

A Model-Based Algorithm for Optimizing I/O Intensive Applications in Clouds Using VM-Based Migration. - Kento Sato; Hitoshi Sato; Satoshi Matsuoka (CCGRID, 2009)

Physis: an implicitly parallel programming model for stencil computations on large-scale GPU-accelerated supercomputers. - Naoya Maruyama; Tatsuo Nomura; Kento Sato; Satoshi Matsuoka (SC, 2011)

Scalable multi-GPU 3-D FFT for TSUBAME 2.0 supercomputer. - Akira Nukada; Kento Sato; Satoshi Matsuoka (SC, 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 (SC, 2012)

Energy-aware I/O optimization for checkpoint and restart on a NAND flash memory system. - Takafumi Saito; Kento Sato; Hitoshi Sato; Satoshi Matsuoka (FTXS, 2013)

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 (CCGRID, 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 (IPDPS, 2014)

Latent Fault Detection With Unbalanced Workloads. - Moshe Gabel; Kento Sato; Daniel Keren; Satoshi Matsuoka; Assaf Schuster (EDBT/ICDT Workshops, 2015)

Exploration of Lossy Compression for Application-Level Checkpoint/Restart. - Naoto Sasaki; Kento Sato; Toshio Endo; Satoshi Matsuoka (IPDPS, 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 001 (SC, 2015)

CloudBB: Scalable I/O Accelerator for Shared Cloud Storage. - Tianqi Xu; Kento Sato; Satoshi Matsuoka (ICPADS, 2016)

An ephemeral burst-buffer file system for scientific applications. - Teng Wang 001; Kathryn M. Mohror; Adam Moody; Kento Sato; Weikuan Yu (SC, 2016)

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 001; Roger A. Pearce; Maya B. Gokhale; Satoshi Matsuoka (ICDCS Workshops, 2017)

MetaKV: A Key-Value Store for Metadata Management of Distributed Burst Buffers. - Teng Wang 001; Adam Moody; Yue Zhu 002; Kathryn M. Mohror; Kento Sato; Tanzima Z. Islam; Weikuan Yu (IPDPS, 2017)

Noise Injection Techniques to Expose Subtle and Unintended Message Races. - Kento Sato; Dong H. Ahn; Ignacio Laguna; Gregory L. Lee; Martin Schulz 001; Christopher M. Chambreau (PPoPP, 2017)

Direct-FUSE: Removing the Middleman for High-Performance FUSE File System Support. - Yue Zhu 002; Teng Wang 001; Kathryn M. Mohror; Adam Moody; Kento Sato; Muhib Khan; Weikuan Yu (ROSS@HPDC, 2018)

Explorations of Data Swapping on Burst Buffer. - Tianqi Xu; Kento Sato; Satoshi Matsuoka (ICPADS, 2018)

Entropy-Aware I/O Pipelining for Large-Scale Deep Learning on HPC Systems. - Yue Zhu 002; Fahim Chowdhury; Huansong Fu; Adam Moody; Kathryn M. Mohror; Kento Sato; Weikuan Yu (MASCOTS, 2018)

Record-and-Replay Techniques for HPC Systems: A Survey. - Dylan Chapp; Kento Sato; Dong H. Ahn; Michela Taufer (Supercomput. Front. Innov., 2018)

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)

Pruners. - Kento Sato; Ignacio Laguna; Gregory L. Lee; Martin Schulz 001; 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)

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 (IPDPS Workshops, 2020)

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 (CCGRID, 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 (HiPC, 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; et al. (MLHPC@SC, 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; et al. (CoRR, 2021)

Guest Editorial: Special Issue on Computing Frontiers. - Martin Schulz 001; Kento Sato (J. Signal Process. Syst., 2021)

FlexScience'22: 12th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures. - Alexandru Costan; Bogdan Nicolae; Kento Sato (HPDC, 2022)

Analyzing I/O Performance of a Hierarchical HPC Storage System for Distributed Deep Learning. - Takaaki Fukai; Kento Sato; Takahiro Hirofuchi (PDCAT, 2022)

Semi-Synchronous Federated Learning Protocol With Dynamic Aggregation in Internet of Vehicles. - Feiyuan Liang; Qinglin Yang; Ruiqi Liu; Junbo Wang 001; Kento Sato; Jian Guo (IEEE Trans. Veh. Technol., 2022)

Improving Cloud Storage Network Bandwidth Utilization of Scientific Applications. - Steven Wei Der Chien; Kento Sato; Artur Podobas; Niclas Jansson; Stefano Markidis; Michio Honda (APNet, 2023)

Understanding Power Consumption Metric on Heterogeneous Memory Systems. - Andrès Rubio Proaño; Kento Sato (ICPADS, 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 (IPDPS Workshops, 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)

Model compression and privacy preserving framework for federated learning. - Xi Zhu; Junbo Wang 001; Wuhui Chen; Kento Sato (Future Gener. Comput. Syst., 2023)

Social Media Driven Big Data Analysis for Disaster Situation Awareness: A Tutorial. - Amitangshu Pal; Junbo Wang 001; Yilang Wu; Krishna Kant 001; Zhi Liu 002; Kento Sato (IEEE Trans. Big Data, 2023)

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 001 (CLUSTER, 2024)

An Optimization Pass for Training Speed-Up and Strategy Search in 3D Parallelism. - Ryubu Hosoki; Kento Sato; Toshio Endo; Julien Bigot; Edouard Audit (CLUSTER Workshops, 2024)

Benchmarking Variables for Checkpointing in HPC Applications. - Xiang Fu; Xin Huang; Wubiao Xu; Weiping Zhang; Shiman Meng; Luanzheng Guo; Kento Sato (IPDPS (Workshops), 2024)

FedSD: Cross-Heterogeneous Federated Learning Based on Self-distillation. - Haiwen Chen; Songcan Yu; Shupeng Zhao; Junbo Wang 001; Kaiming Zhu; Kento Sato (PRICAI (2), 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 (SC, 2024)

Scrutinizing Variables for Checkpoint Using Automatic Differentiation. - Xin Huang; Wubiao Xu; Shiman Meng; Weiping Zhang; Xiang Fu; Luanzheng Guo; Kento Sato (SC Workshops, 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 (SC, 2024)

An Efficient Checkpointing System for Large Machine Learning Model Training. - Wubiao Xu; Xin Huang; Shiman Meng; Weiping Zhang; Luanzheng Guo; Kento Sato (SC Workshops, 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)

LDS-FL: Loss Differential Strategy Based Federated Learning for Privacy Preserving. - Taiyu Wang; Qinglin Yang; Kaiming Zhu; Junbo Wang 001; Chunhua Su; Kento Sato (IEEE Trans. Inf. Forensics Secur., 2024)

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 001; Taisuke Boku; Kentaro Sano (COOL CHIPS, 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 001; Sheng Di; Luc Giraud; Thomas Grützmacher; Sian Jin; Kentaro Sano; Kento Sato; Amarjit Singh; et al. (Future Gener. Comput. Syst., 2025)

Lossy Compression of Scientific Data: Applications Constrains and Requirements. - Franck Cappello; Allison H. Baker; Ebru Bozda; Martin Burtscher; Kyle Chard; Sheng Di; Paul Christopher O. Grady; Peng Jiang 004; Shaomeng Li; Erik Lindahl; Peter Lindstrom 001; Magnus Lundborg; et al. (CoRR, 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 004; Amir Ziabari; Tao Luo 014; Peng Chen 035; Kento Sato; Fumiyoshi Shoji; Takaki Hatsui; Kentaro Uesugi; Akira Seo; et al. (CoRR, 2025)

Adaptive Model Compression for Efficient Federated Learning in IoT Systems. - Xi Zhu; Junbo Wang 001; Kento Sato; Zibin Zheng (IEEE Internet Things J., 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., 2025)