Keichi Takahashi

According to our database, Keichi Takahashi authored at least 52 papers between 2014 and 2025.

Collaborative distances:

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

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

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

Leveraging Hardware Performance Counters for Predicting Workload Interference in Vector Supercomputers.

Shubham, Keichi Takahashi, Hiroyuki Takizawa

CoRR, 2024

A Node Selection Method for on-Demand Job Execution with Considering Deadline Constraints.

Daiki Nakai, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

Proceedings of the Job Scheduling Strategies for Parallel Processing, 2024

Maximizing Energy Budget Utilization Using Dynamic Power Cap Control.

Sho Ishii, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

Proceedings of the Job Scheduling Strategies for Parallel Processing, 2024

Clustering Based Job Runtime Prediction for Backfilling Using Classification.

Hang Cui, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

Proceedings of the Job Scheduling Strategies for Parallel Processing, 2024

XAI-Based Feature Importance Analysis on Loop Optimization.

Toshinobu Katayama, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

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

Combining Lossy Compression with Multi-Level Caching for Data Staging over Network.

Rei Aoyagi, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 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

Proceedings of the IEEE International Conference on Cluster Computing, 2024

Automatic Parallelization with CodeT5+: A Model for Generating OpenMP Directives.

Soratouch Pornmaneerattanatri, Keichi Takahashi, Yutaro Kashiwa, Kohei Ichikawa, Hajimu Iida

Proceedings of the IEEE International Conference on Cluster Computing, 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

Proceedings of the Twelfth International Symposium on Computing and Networking, CANDAR 2024, 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

Proceedings of the Twelfth International Symposium on Computing and Networking, 2024

DRAS-OD: A Reinforcement Learning based Job Scheduler for On-Demand Job Scheduling in High-Performance Computing Systems.

Hang Cui, Keichi Takahashi, Hiroyuki Takizawa

Proceedings of the Twelfth International Symposium on Computing and Networking, 2024

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., July, 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., July, 2023

Efficient Pause Location Prediction Using Quantum Annealing Simulations and Machine Learning.

Michael R. Zielewski, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

IEEE Access, 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

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

Proceedings of the High Performance Computing - 38th International Conference, 2023

Prototype of a Batched Quantum Circuit Simulator for the Vector Engine.

Keichi Takahashi, Toshio Mori, Hiroyuki Takizawa

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Balancing exploitation and exploration in parallel Bayesian optimization under computing resource constraint.

Moto Satake, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

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

Multi-Objective Optimization of Controller Placement in Distributed ONOS Networks.

Xingyuan Kang, Keichi Takahashi, Chawanat Nakasan, Kohei Ichikawa, Hajimu Iida

Proceedings of the Eleventh International Symposium on Computing and Networking, CANDAR 2023, Matsue, Japan, November 28, 2023

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

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, Ian T. Foster, Scott Klasky

Concurr. Comput. Pract. Exp., 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

Equivalence Checking of Code Transformation by Numerical and Symbolic Approaches.

Shunpei Sugawara, Keichi Takahashi, Yoichi Shimomura, Ryusuke Egawa, Hiroyuki Takizawa

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

Towards Priority-Flexible Task Mapping for Heterogeneous Multi-core NUMA Systems.

Yifan Jin, Mulya Agung, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

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

A Task-Parallel Runtime for Heterogeneous Multi-node Vector Systems.

Kazuki Ide, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

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

A Cost Model for Compilers Based on Transfer Learning.

Yuta Sasaki, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Automated selection of build configuration based on machine learning.

Reo Furuhata, Minglu Zhao, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Sparse Communication for Federated Learning.

Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Chawanat Nakasan, Pattara Leelaprute, Hajimu Iida

Proceedings of the 6th IEEE International Conference on Fog and Edge Computing, 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

Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

Acar: An application-aware network routing system using SRv6.

Tomoki Sugiura, Keichi Takahashi, Kohei Ichikawa, Hajimu Iida

Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

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

Proceedings of the PEARC '21: Practice and Experience in Advanced Research Computing, 2021

Comparative Performance Study of Lightweight Hypervisors Used in Container Environment.

Guoqing Li, Keichi Takahashi, Kohei Ichikawa, Hajimu Iida, Pree Thiengburanathum, Passakorn Phannachitta

Proceedings of the 11th International Conference on Cloud Computing and Services Science, 2021

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, Kai Germaschewski, Kevin A. Huck, Axel Huebl, Mark Kim, James Kress, Tahsin M. Kurç, Qing Liu, Jeremy Logan, Kshitij Mehta, George Ostrouchov, Manish Parashar, Franz Poeschel, David Pugmire, Eric Suchyta, Keichi Takahashi, Nick Thompson, Seiji Tsutsumi, Lipeng Wan, Matthew Wolf, Kesheng Wu, Scott Klasky

SoftwareX, 2020

Retraining Quantized Neural Network Models with Unlabeled Data.

Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Chawanat Nakasan, Hidemoto Nakada, Ryousei Takano, Hajimu Iida

Proceedings of the 2020 International Joint Conference on Neural Networks, 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

Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

Federated Learning of Neural Network Models with Heterogeneous Structures.

Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Hajimu Iida, Chawanat Nakasan

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

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, Keichi Takahashi, Igor Yakushin, Todd S. Munson

Proceedings of the 2019 IEEE/ACM Workflows in Support of Large-Scale Science, 2019

Improving Resource Utilization in Data Centers using an LSTM-based Prediction Model.

Kundjanasith Thonglek, Kohei Ichikawa, Keichi Takahashi, Hajimu Iida, Chawanat Nakasan

Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

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

A Traffic Simulator with Intra-node Parallelism for Designing High-performance Interconnects.

Yohei Takigawa, Keichi Takahashi, Susumu Date, Yoshiyuki Kido, Shinji Shimojo

Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018

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

Proceedings of the 2017 International Conference on High Performance Computing & Simulation, 2017

PFAnalyzer: A Toolset for Analyzing Application-Aware Dynamic Interconnects.

Keichi Takahashi, Susumu Date, Dashdavaa Khureltulga, Yoshiyuki Kido, Shinji Shimojo

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 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

Proceedings of the Cloud Computing and Service Science - 7th International Conference, 2017

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

Proceedings of the CLOSER 2017, 2017

2016

Network Access Control Towards Fully-Controlled Cloud Infrastructure.

Takuya Yamada, Keichi Takahashi, Masaya Muraki, Susumu Date, Shinji Shimojo

Proceedings of the 2016 IEEE International Conference on Cloud Computing Technology and Science, 2016

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

Proceedings of the Fifth International Workshop on Network-Aware Data Management, 2015

MPI_Reduce algorithm for OpenFlow-enabled network.

Pisit Makpaisit, Kohei Ichikawa, Putchong Uthayopas, Susumu Date, Keichi Takahashi, Dashdavaa Khureltulga

Proceedings of the 15th International Symposium on Communications and Information Technologies, 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

Proceedings of the 2015 International Conference on Cloud Computing Research and Innovation, 2015

Concept and Design of SDN-Enhanced MPI Framework.

Keichi Takahashi, Dashdavaa Khureltulga, Baatarsuren Munkhdorj, Yoshiyuki Kido, Susumu Date, Hiroaki Yamanaka, Eiji Kawai, Shinji Shimojo

Proceedings of the Fourth European Workshop on Software Defined Networks, 2015

2014

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

Proceedings of the International Conference on High Performance Computing & Simulation, 2014