Performance evaluation of SDN-enhanced MPI allreduce on a cluster system with fat-tree interconnect. - Keichi Takahashi; Dashdavaa Khureltulga; Yasuhiro Watashiba; Yoshiyuki Kido; Susumu Date; Shinji Shimojo (HPCS, 2014)

Concept and Design of SDN-Enhanced MPI Framework. - Keichi Takahashi; Dashdavaa Khureltulga; Baatarsuren Munkhdorj; Yoshiyuki Kido; Susumu Date; Hiroaki Yamanaka; Eiji Kawai; Shinji Shimojo (EWSDN, 2015)

An Empirical Study of SDN-accelerated HPC Infrastructure for Scientific Research. - Susumu Date; Hirotake Abe; Dashdavaa Khureltulga; Keichi Takahashi; Yoshiyuki Kido; Yasuhiro Watashiba; Pongsakorn U.-Chupala; Kohei Ichikawa; Hiroaki Yamanaka; Eiji Kawai; Shinji Shimojo (ICCCRI, 2015)

MPI_Reduce algorithm for OpenFlow-enabled network. - Pisit Makpaisit; Kohei Ichikawa; Putchong Uthayopas; Susumu Date; Keichi Takahashi; Dashdavaa Khureltulga (ISCIT, 2015)

Design and implementation of control sequence generator for SDN-enhanced MPI. - Baatarsuren Munkhdorj; Keichi Takahashi; Dashdavaa Khureltulga; Yasuhiro Watashiba; Yoshiyuki Kido; Susumu Date; Shinji Shimojo (NDM@SC, 2015)

Network Access Control Towards Fully-Controlled Cloud Infrastructure. - Takuya Yamada; Keichi Takahashi; Masaya Muraki; Susumu Date; Shinji Shimojo (CloudCom, 2016)

Highly Reconfigurable Computing Platform for High Performance Computing Infrastructure as a Service: Hi-IaaS. - Akihiro Misawa; Susumu Date; Keichi Takahashi; Takashi Yoshikawa; Masahiko Takahashi; Masaki Kan; Yasuhiro Watashiba; Yoshiyuki Kido; Chonho Lee; Shinji Shimojo (CLOSER, 2017)

Dynamic Reconfiguration of Computer Platforms at the Hardware Device Level for High Performance Computing Infrastructure as a Service. - Akihiro Misawa; Susumu Date; Keichi Takahashi; Takashi Yoshikawa; Masahiko Takahashi; Masaki Kan; Yasuhiro Watashiba; Yoshiyuki Kido; Chonho Lee; Shinji Shimojo (CLOSER (Selected Papers), 2017)

PFAnalyzer: A Toolset for Analyzing Application-Aware Dynamic Interconnects. - Keichi Takahashi; Susumu Date; Dashdavaa Khureltulga; Yoshiyuki Kido; Shinji Shimojo (CLUSTER, 2017)

Design and Implementation of SDN-enhanced MPI Broadcast Targeting a Fat-Tree Interconnect. - Hiroaki Morimoto; Khureltulga Dashdavaa; Keichi Takahashi; Yoshiyuki Kido; Susumu Date; Shinji Shimojo (HPCS, 2017)

A Traffic Simulator with Intra-node Parallelism for Designing High-performance Interconnects. - Yohei Takigawa; Keichi Takahashi; Susumu Date; Yoshiyuki Kido; Shinji Shimojo (HPCS, 2018)

UnisonFlow: A Software-Defined Coordination Mechanism for Message-Passing Communication and Computation. - Keichi Takahashi; Susumu Date; Dashdavaa Khureltulga; Yoshiyuki Kido; Hiroaki Yamanaka; Eiji Kawai; Shinji Shimojo (IEEE Access, 2018)

Improving Resource Utilization in Data Centers using an LSTM-based Prediction Model. - Kundjanasith Thonglek; Kohei Ichikawa; Keichi Takahashi; Hajimu Iida; Chawanat Nakasan (CLUSTER, 2019)

A Codesign Framework for Online Data Analysis and Reduction. - Kshitij Mehta; Ian T. Foster; Scott Klasky; Bryce Allen; Matthew Wolf; Jeremy Logan; Eric Suchyta; Jong Choi 001; Keichi Takahashi; Igor Yakushin; Todd S. Munson (WORKS@SC, 2019)

Federated Learning of Neural Network Models with Heterogeneous Structures. - Kundjanasith Thonglek; Keichi Takahashi; Kohei Ichikawa; Hajimu Iida; Chawanat Nakasan (ICMLA, 2020)

Massively Parallel Causal Inference of Whole Brain Dynamics at Single Neuron Resolution. - Wassapon Watanakeesuntorn; Keichi Takahashi; Kohei Ichikawa; Joseph Park; George Sugihara; Ryousei Takano; Jason Haga; Gerald M. Pao (ICPADS, 2020)

Retraining Quantized Neural Network Models with Unlabeled Data. - Kundjanasith Thonglek; Keichi Takahashi; Kohei Ichikawa; Chawanat Nakasan; Hidemoto Nakada; Ryousei Takano; Hajimu Iida (IJCNN, 2020)

ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management. - William F. Godoy; Norbert Podhorszki; Ruonan Wang; Chuck Atkins; Greg Eisenhauer; Junmin Gu; Philip E. Davis; Jong Choi 001; Kai Germaschewski; Kevin A. Huck; Axel Huebl; Mark Kim; et al. (SoftwareX, 2020)

Comparative Performance Study of Lightweight Hypervisors Used in Container Environment. - Guoqing Li; Keichi Takahashi; Kohei Ichikawa; Hajimu Iida; Pree Thiengburanathum; Passakorn Phannachitta (CLOSER, 2021)

kEDM: A Performance-portable Implementation of Empirical Dynamic Modeling using Kokkos. - Keichi Takahashi; Wassapon Watanakeesuntorn; Kohei Ichikawa; Joseph Park; Ryousei Takano; Jason Haga; George Sugihara; Gerald M. Pao (PEARC, 2021)

Acar: An application-aware network routing system using SRv6. - Tomoki Sugiura; Keichi Takahashi; Kohei Ichikawa; Hajimu Iida (CCNC, 2022)

A Real-time Flood Inundation Prediction on SX-Aurora TSUBASA. - Yoichi Shimomura; Akihiro Musa; Yoshihiko Sato; Atsuhiko Konja; Guoqing Cui; Rei Aoyagi; Keichi Takahashi; Hiroyuki Takizawa (HIPC, 2022)

Sparse Communication for Federated Learning. - Kundjanasith Thonglek; Keichi Takahashi; Kohei Ichikawa; Chawanat Nakasan; Pattara Leelaprute; Hajimu Iida (ICFEC, 2022)

Automated selection of build configuration based on machine learning. - Reo Furuhata; Minglu Zhao; Keichi Takahashi; Yoichi Shimomura; Hiroyuki Takizawa (IPDPS Workshops, 2022)

A Cost Model for Compilers Based on Transfer Learning. - Yuta Sasaki; Keichi Takahashi; Yoichi Shimomura; Hiroyuki Takizawa (IPDPS Workshops, 2022)

A Task-Parallel Runtime for Heterogeneous Multi-node Vector Systems. - Kazuki Ide; Keichi Takahashi; Yoichi Shimomura; Hiroyuki Takizawa (PDCAT, 2022)

Towards Priority-Flexible Task Mapping for Heterogeneous Multi-core NUMA Systems. - Yifan Jin; Mulya Agung; Keichi Takahashi; Yoichi Shimomura; Hiroyuki Takizawa (PDCAT, 2022)

Equivalence Checking of Code Transformation by Numerical and Symbolic Approaches. - Shunpei Sugawara; Keichi Takahashi; Yoichi Shimomura; Ryusuke Egawa; Hiroyuki Takizawa (PDCAT, 2022)

Automated Quantization and Retraining for Neural Network Models Without Labeled Data. - Kundjanasith Thonglek; Keichi Takahashi; Kohei Ichikawa; Chawanat Nakasan; Hidemoto Nakada; Ryousei Takano; Pattara Leelaprute; Hajimu Iida (IEEE Access, 2022)

A codesign framework for online data analysis and reduction. - Kshitij Mehta; Bryce Allen; Matthew Wolf; Jeremy Logan; Eric Suchyta; Swati Singhal; Jong Youl Choi; Keichi Takahashi; Kevin A. Huck; Igor Yakushin; Alan Sussman; Todd S. Munson; et al. (Concurr. Comput. Pract. Exp., 2022)

Opimon: A Transparent, Low-Overhead Monitoring System for OpenFlow Networks. - Wassapon Watanakeesuntorn; Keichi Takahashi; Chawanat Nakasan; Kohei Ichikawa; Hajimu Iida (IEICE Trans. Commun., 2022)

Multi-Objective Optimization of Controller Placement in Distributed ONOS Networks. - Xingyuan Kang; Keichi Takahashi; Chawanat Nakasan; Kohei Ichikawa; Hajimu Iida (candar, 2023)

Balancing exploitation and exploration in parallel Bayesian optimization under computing resource constraint. - Moto Satake; Keichi Takahashi; Yoichi Shimomura; Hiroyuki Takizawa (IPDPS Workshops, 2023)

Prototype of a Batched Quantum Circuit Simulator for the Vector Engine. - Keichi Takahashi; Toshio Mori; Hiroyuki Takizawa (SC Workshops, 2023)

Performance Evaluation of a Next-Generation SX-Aurora TSUBASA Vector Supercomputer. - Keichi Takahashi; Soya Fujimoto; Satoru Nagase; Yoko Isobe; Yoichi Shimomura; Ryusuke Egawa; Hiroyuki Takizawa (ISC, 2023)

Scalable Empirical Dynamic Modeling With Parallel Computing and Approximate k-NN Search. - Keichi Takahashi; Kohei Ichikawa; Joseph Park; Gerald M. Pao (IEEE Access, 2023)

Efficient Pause Location Prediction Using Quantum Annealing Simulations and Machine Learning. - Michael R. Zielewski; Keichi Takahashi; Yoichi Shimomura; Hiroyuki Takizawa (IEEE Access, 2023)

Toward Predictive Modeling of Solar Power Generation for Multiple Power Plants. - Kundjanasith Thonglek; Kohei Ichikawa; Keichi Takahashi; Chawanat Nakasan; Kazufumi Yuasa; Tadatoshi Babasaki; Hajimu Iida (IEICE Trans. Commun., 2023)

The Convergence of Container and Traditional Virtualization: Strengths and Limitations. - Guoqing Li; Keichi Takahashi; Kohei Ichikawa; Hajimu Iida; Chawanat Nakasan; Pattara Leelaprute; Pree Thiengburanathum; Passakorn Phannachitta (SN Comput. Sci., 2023)

DRAS-OD: A Reinforcement Learning based Job Scheduler for On-Demand Job Scheduling in High-Performance Computing Systems. - Hang Cui 005; Keichi Takahashi; Hiroyuki Takizawa (CANDAR, 2024)

Real-Time Phase Retrieval Using On-the-Fly Training of Sample-Specific Surrogate Models. - Ryota Koda; Keichi Takahashi; Hiroyuki Takizawa; Nozomu Ishiguro; Yukio Takahashi (CANDAR, 2024)

A QA-Assisted Job Scheduler for Minimizing the Impact of Urgent Computing on HPC System Operation. - Tatsuyoshi Ohmura; Keichi Takahashi; Ryusuke Egawa; Hiroyuki Takizawa (CANDARW, 2024)

Automatic Parallelization with CodeT5+: A Model for Generating OpenMP Directives. - Soratouch Pornmaneerattanatri; Keichi Takahashi; Yutaro Kashiwa; Kohei Ichikawa; Hajimu Iida (CLUSTER Workshops, 2024)

Modernizing an Operational Real-Time Tsunami Simulator to Support Diverse Hardware Platforms. - Keichi Takahashi; Takashi Abe; Akihiro Musa; Yoshihiko Sato; Yoichi Shimomura; Hiroyuki Takizawa; Shunichi Koshimura (CLUSTER, 2024)

Combining Lossy Compression with Multi-Level Caching for Data Staging over Network. - Rei Aoyagi; Keichi Takahashi; Yoichi Shimomura; Hiroyuki Takizawa (IPDPS (Workshops), 2024)

XAI-Based Feature Importance Analysis on Loop Optimization. - Toshinobu Katayama; Keichi Takahashi; Yoichi Shimomura; Hiroyuki Takizawa (IPDPS (Workshops), 2024)

Clustering Based Job Runtime Prediction for Backfilling Using Classification. - Hang Cui 005; Keichi Takahashi; Yoichi Shimomura; Hiroyuki Takizawa (JSSPP, 2024)

Maximizing Energy Budget Utilization Using Dynamic Power Cap Control. - Sho Ishii; Keichi Takahashi; Yoichi Shimomura; Hiroyuki Takizawa (JSSPP, 2024)

A Node Selection Method for on-Demand Job Execution with Considering Deadline Constraints. - Daiki Nakai; Keichi Takahashi; Yoichi Shimomura; Hiroyuki Takizawa (JSSPP, 2024)

Leveraging Hardware Performance Counters for Predicting Workload Interference in Vector Supercomputers. - Shubham; Keichi Takahashi; Hiroyuki Takizawa (PDCAT, 2024)

Reuse distance-based shared LLC management mechanism for heterogeneous CPU-GPU systems. - Jiaheng Liu; Ryusuke Egawa; Keichi Takahashi; Yoichi Shimomura; Hiroyuki Takizawa (IEICE Electron. Express, 2024)

Performance Analysis of mdx II: A Next-Generation Cloud Platform for Cross-Disciplinary Data Science Research. - Keichi Takahashi; Tomonori Hayami; Yu Mukaizono; Yuki Teramae; Susumu Date (CLOSER, 2025)

Performance evaluation of the LBM simulations in fluid dynamics on SX-Aurora TSUBASA vector engine. - Xiangcheng Sun; Keichi Takahashi; Yoichi Shimomura; Hiroyuki Takizawa; Xian Wang (Comput. Phys. Commun., 2025)

Load-Aware Multi-Objective Optimization of Controller and Datastore Placement in Distributed Sdns. - Xingyuan Kang; Keichi Takahashi; Chawanat Nakasan; Kohei Ichikawa; Hajimu Iida (Concurr. Comput. Pract. Exp., 2025)