Keichi Takahashi

68 papers B 2C 18Misc 1Journal 20Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	CityScaleCast: Spatiotemporal GNN for City-Scale Weather Prediction with GraphCast-Guided Parallel Modeling and Multi-Step Forecasting in Sendai. SCA/HPC Asia Workshops Xuanwen Pan, Yoichi Shimomura, Sichen Tao, Masatoshi Kawai, Keichi Takahashi, Hiroyuki Takizawa
2026	—	`conf`	Explainable AI-Guided Genetic Algorithms for Efficient Software Automatic Tuning. SCA/HPC Asia Workshops Toshinobu Katayama, Masatoshi Kawai, Yoichi Shimomura, Keichi Takahashi, Hiroyuki Takizawa
2026	—	`conf`	Semantic Equivalence Verification of HPC Codes Using LLMs. SCA/HPC Asia Workshops Yuta Tanizawa, Masatoshi Kawai, Keichi Takahashi, Hiroyuki Takizawa
2026	—	`conf`	TRIOS: Reducing File-System Contention through Predictive Time-Resolved I/O Simulation in Job Scheduling. SCA/HPC Asia YuTsen Tseng, Masatoshi Kawai, Keichi Takahashi, Hiroyuki Takizawa
2025	J	`jnl`	Developing an End-to-End 3D X-Ray Ptychography Workflow Using Surrogate Models. Concurr. Comput. Pract. Exp. Ryota Koda, Keichi Takahashi, Hiroyuki Takizawa, Nozomu Ishiguro, Yukio Takahashi
2025	—	`conf`	Exploring Diverse Cloud Bursting Policies Using Pareto Conditioned Networks. CANDARW Yoshiki Noguchi, Keichi Takahashi, Chonho Lee, Susumu Date
2025	J	`jnl`	Load-Aware Multi-Objective Optimization of Controller and Datastore Placement in Distributed Sdns. Concurr. Comput. Pract. Exp. Xingyuan Kang, Keichi Takahashi, Chawanat Nakasan, Kohei Ichikawa, Hajimu Iida
2025	C	`conf`	Performance Analysis of mdx II: A Next-Generation Cloud Platform for Cross-Disciplinary Data Science Research. CLOSER Keichi Takahashi, Tomonori Hayami, Yu Mukaizono, Yuki Teramae, Susumu Date
2025	J	`jnl`	Performance analysis of mdx II: A next-generation cloud platform for cross-disciplinary data science research. CoRR Keichi Takahashi, Tomonori Hayami, Yu Mukaizono, Yuki Teramae, Susumu Date
2025	J	`jnl`	Performance evaluation of the LBM simulations in fluid dynamics on SX-Aurora TSUBASA vector engine. Comput. Phys. Commun. Xiangcheng Sun, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa, Xian Wang
2025	C	`conf`	Workflow Batch Job Scheduling with Considering Task Dependencies. JSSPP Kaito Yanai, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa
2025	J	`jnl`	mdx II: A High-Performance Cloud Infrastructure for Data-Intensive and Cross-Disciplinary Science. SN Comput. Sci. Keichi Takahashi, Tomonori Hayami, Kota Sakakura, Yu Mukaizono, Yuki Teramae, Susumu Date
2024	C	`conf`	A Node Selection Method for on-Demand Job Execution with Considering Deadline Constraints. JSSPP Daiki Nakai, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa
2024	—	`conf`	A QA-Assisted Job Scheduler for Minimizing the Impact of Urgent Computing on HPC System Operation. CANDARW Tatsuyoshi Ohmura, Keichi Takahashi, Ryusuke Egawa, Hiroyuki Takizawa
2024	—	`conf`	Automatic Parallelization with CodeT5+: A Model for Generating OpenMP Directives. CLUSTER Workshops Soratouch Pornmaneerattanatri, Keichi Takahashi, Yutaro Kashiwa, Kohei Ichikawa, Hajimu Iida
2024	C	`conf`	Clustering Based Job Runtime Prediction for Backfilling Using Classification. JSSPP Hang Cui, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa
2024	—	`conf`	Combining Lossy Compression with Multi-Level Caching for Data Staging over Network. IPDPS (Workshops) Rei Aoyagi, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa
2024	—	`conf`	DRAS-OD: A Reinforcement Learning based Job Scheduler for On-Demand Job Scheduling in High-Performance Computing Systems. CANDAR Hang Cui, Keichi Takahashi, Hiroyuki Takizawa
2024	C	`conf`	Leveraging Hardware Performance Counters for Predicting Workload Interference in Vector Supercomputers. PDCAT Shubham, Keichi Takahashi, Hiroyuki Takizawa
2024	J	`jnl`	Leveraging Hardware Performance Counters for Predicting Workload Interference in Vector Supercomputers. CoRR Shubham, Keichi Takahashi, Hiroyuki Takizawa
2024	C	`conf`	Maximizing Energy Budget Utilization Using Dynamic Power Cap Control. JSSPP Sho Ishii, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa
2024	C	`conf`	Modernizing an Operational Real-Time Tsunami Simulator to Support Diverse Hardware Platforms. CLUSTER Keichi Takahashi, Takashi Abe, Akihiro Musa, Yoshihiko Sato, Yoichi Shimomura, Hiroyuki Takizawa, Shunichi Koshimura
2024	J	`jnl`	Modernizing an Operational Real-time Tsunami Simulator to Support Diverse Hardware Platforms. CoRR Keichi Takahashi, Takashi Abe, Akihiro Musa, Yoshihiko Sato, Yoichi Shimomura, Hiroyuki Takizawa, Shunichi Koshimura
2024	—	`conf`	Real-Time Phase Retrieval Using On-the-Fly Training of Sample-Specific Surrogate Models. CANDAR Ryota Koda, Keichi Takahashi, Hiroyuki Takizawa, Nozomu Ishiguro, Yukio Takahashi
2024	J	`jnl`	Reuse distance-based shared LLC management mechanism for heterogeneous CPU-GPU systems. IEICE Electron. Express Jiaheng Liu, Ryusuke Egawa, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa
2024	—	`conf`	XAI-Based Feature Importance Analysis on Loop Optimization. IPDPS (Workshops) Toshinobu Katayama, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa
2023	—	`conf`	Balancing exploitation and exploration in parallel Bayesian optimization under computing resource constraint. IPDPS Workshops Moto Satake, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa
2023	J	`jnl`	Efficient Pause Location Prediction Using Quantum Annealing Simulations and Machine Learning. IEEE Access Michael R. Zielewski, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa
2023	—	`conf`	Multi-Objective Optimization of Controller Placement in Distributed ONOS Networks. candar Xingyuan Kang, Keichi Takahashi, Chawanat Nakasan, Kohei Ichikawa, Hajimu Iida
2023	C	`conf`	Performance Evaluation of a Next-Generation SX-Aurora TSUBASA Vector Supercomputer. ISC Keichi Takahashi, Soya Fujimoto, Satoru Nagase, Yoko Isobe, Yoichi Shimomura, Ryusuke Egawa, Hiroyuki Takizawa
2023	J	`jnl`	Performance Evaluation of a Next-Generation SX-Aurora TSUBASA Vector Supercomputer. CoRR Keichi Takahashi, Soya Fujimoto, Satoru Nagase, Yoko Isobe, Yoichi Shimomura, Ryusuke Egawa, Hiroyuki Takizawa
2023	—	`conf`	Prototype of a Batched Quantum Circuit Simulator for the Vector Engine. SC Workshops Keichi Takahashi, Toshio Mori, Hiroyuki Takizawa
2023	J	`jnl`	Scalable Empirical Dynamic Modeling With Parallel Computing and Approximate k-NN Search. IEEE Access Keichi Takahashi, Kohei Ichikawa, Joseph Park, Gerald M. Pao
2023	J	`jnl`	The Convergence of Container and Traditional Virtualization: Strengths and Limitations. SN Comput. Sci. Guoqing Li, Keichi Takahashi, Kohei Ichikawa, Hajimu Iida, Chawanat Nakasan, Pattara Leelaprute, Pree Thiengburanathum, Passakorn Phannachitta
2023	J	`jnl`	Toward Predictive Modeling of Solar Power Generation for Multiple Power Plants. IEICE Trans. Commun. Kundjanasith Thonglek, Kohei Ichikawa, Keichi Takahashi, Chawanat Nakasan, Kazufumi Yuasa, Tadatoshi Babasaki, Hajimu Iida
2022	—	`conf`	A Cost Model for Compilers Based on Transfer Learning. IPDPS Workshops Yuta Sasaki, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa
2022	Misc	`conf`	A Real-time Flood Inundation Prediction on SX-Aurora TSUBASA. HIPC Yoichi Shimomura, Akihiro Musa, Yoshihiko Sato, Atsuhiko Konja, Guoqing Cui, Rei Aoyagi, Keichi Takahashi, Hiroyuki Takizawa
2022	C	`conf`	A Task-Parallel Runtime for Heterogeneous Multi-node Vector Systems. PDCAT Kazuki Ide, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa
2022	J	`jnl`	A codesign framework for online data analysis and reduction. Concurr. Comput. Pract. Exp. 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
2022	—	`conf`	Acar: An application-aware network routing system using SRv6. CCNC Tomoki Sugiura, Keichi Takahashi, Kohei Ichikawa, Hajimu Iida
2022	J	`jnl`	Automated Quantization and Retraining for Neural Network Models Without Labeled Data. IEEE Access Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Chawanat Nakasan, Hidemoto Nakada, Ryousei Takano, Pattara Leelaprute, Hajimu Iida
2022	—	`conf`	Automated selection of build configuration based on machine learning. IPDPS Workshops Reo Furuhata, Minglu Zhao, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa
2022	C	`conf`	Equivalence Checking of Code Transformation by Numerical and Symbolic Approaches. PDCAT Shunpei Sugawara, Keichi Takahashi, Yoichi Shimomura, Ryusuke Egawa, Hiroyuki Takizawa
2022	J	`jnl`	Opimon: A Transparent, Low-Overhead Monitoring System for OpenFlow Networks. IEICE Trans. Commun. Wassapon Watanakeesuntorn, Keichi Takahashi, Chawanat Nakasan, Kohei Ichikawa, Hajimu Iida
2022	C	`conf`	Sparse Communication for Federated Learning. ICFEC Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Chawanat Nakasan, Pattara Leelaprute, Hajimu Iida
2022	C	`conf`	Towards Priority-Flexible Task Mapping for Heterogeneous Multi-core NUMA Systems. PDCAT Yifan Jin, Mulya Agung, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa
2021	C	`conf`	Comparative Performance Study of Lightweight Hypervisors Used in Container Environment. CLOSER Guoqing Li, Keichi Takahashi, Kohei Ichikawa, Hajimu Iida, Pree Thiengburanathum, Passakorn Phannachitta
2021	—	`conf`	kEDM: A Performance-portable Implementation of Empirical Dynamic Modeling using Kokkos. PEARC Keichi Takahashi, Wassapon Watanakeesuntorn, Kohei Ichikawa, Joseph Park, Ryousei Takano, Jason Haga, George Sugihara, Gerald M. Pao
2021	J	`jnl`	kEDM: A Performance-portable Implementation of Empirical Dynamic Modeling using Kokkos. CoRR Keichi Takahashi, Wassapon Watanakeesuntorn, Kohei Ichikawa, Joseph Park, Ryousei Takano, Jason Haga, George Sugihara, Gerald M. Pao
2020	J	`jnl`	ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management. SoftwareX 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
2020	C	`conf`	Federated Learning of Neural Network Models with Heterogeneous Structures. ICMLA Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Hajimu Iida, Chawanat Nakasan
2020	B	`conf`	Massively Parallel Causal Inference of Whole Brain Dynamics at Single Neuron Resolution. ICPADS Wassapon Watanakeesuntorn, Keichi Takahashi, Kohei Ichikawa, Joseph Park, George Sugihara, Ryousei Takano, Jason Haga, Gerald M. Pao
2020	J	`jnl`	Massively Parallel Causal Inference of Whole Brain Dynamics at Single Neuron Resolution. CoRR Wassapon Watanakeesuntorn, Keichi Takahashi, Kohei Ichikawa, Joseph Park, George Sugihara, Ryousei Takano, Jason Haga, Gerald M. Pao
2020	B	`conf`	Retraining Quantized Neural Network Models with Unlabeled Data. IJCNN Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Chawanat Nakasan, Hidemoto Nakada, Ryousei Takano, Hajimu Iida
2019	—	`conf`	A Codesign Framework for Online Data Analysis and Reduction. WORKS@SC Kshitij Mehta, Ian T. Foster, Scott Klasky, Bryce Allen, Matthew Wolf, Jeremy Logan, Eric Suchyta, Jong Choi, Keichi Takahashi, Igor Yakushin, Todd S. Munson
2019	C	`conf`	Improving Resource Utilization in Data Centers using an LSTM-based Prediction Model. CLUSTER Kundjanasith Thonglek, Kohei Ichikawa, Keichi Takahashi, Hajimu Iida, Chawanat Nakasan
2018	—	`conf`	A Traffic Simulator with Intra-node Parallelism for Designing High-performance Interconnects. HPCS Yohei Takigawa, Keichi Takahashi, Susumu Date, Yoshiyuki Kido, Shinji Shimojo
2018	J	`jnl`	UnisonFlow: A Software-Defined Coordination Mechanism for Message-Passing Communication and Computation. IEEE Access Keichi Takahashi, Susumu Date, Dashdavaa Khureltulga, Yoshiyuki Kido, Hiroaki Yamanaka, Eiji Kawai, Shinji Shimojo
2017	—	`conf`	Design and Implementation of SDN-enhanced MPI Broadcast Targeting a Fat-Tree Interconnect. HPCS Hiroaki Morimoto, Khureltulga Dashdavaa, Keichi Takahashi, Yoshiyuki Kido, Susumu Date, Shinji Shimojo
2017	—	`conf`	Dynamic Reconfiguration of Computer Platforms at the Hardware Device Level for High Performance Computing Infrastructure as a Service. CLOSER (Selected Papers) Akihiro Misawa, Susumu Date, Keichi Takahashi, Takashi Yoshikawa, Masahiko Takahashi, Masaki Kan, Yasuhiro Watashiba, Yoshiyuki Kido, Chonho Lee, Shinji Shimojo
2017	C	`conf`	Highly Reconfigurable Computing Platform for High Performance Computing Infrastructure as a Service: Hi-IaaS. CLOSER Akihiro Misawa, Susumu Date, Keichi Takahashi, Takashi Yoshikawa, Masahiko Takahashi, Masaki Kan, Yasuhiro Watashiba, Yoshiyuki Kido, Chonho Lee, Shinji Shimojo
2017	C	`conf`	PFAnalyzer: A Toolset for Analyzing Application-Aware Dynamic Interconnects. CLUSTER Keichi Takahashi, Susumu Date, Dashdavaa Khureltulga, Yoshiyuki Kido, Shinji Shimojo
2016	C	`conf`	Network Access Control Towards Fully-Controlled Cloud Infrastructure. CloudCom Takuya Yamada, Keichi Takahashi, Masaya Muraki, Susumu Date, Shinji Shimojo
2015	—	`conf`	An Empirical Study of SDN-accelerated HPC Infrastructure for Scientific Research. ICCCRI Susumu Date, Hirotake Abe, Dashdavaa Khureltulga, Keichi Takahashi, Yoshiyuki Kido, Yasuhiro Watashiba, Pongsakorn U.-Chupala, Kohei Ichikawa, Hiroaki Yamanaka, Eiji Kawai, Shinji Shimojo
2015	—	`conf`	Concept and Design of SDN-Enhanced MPI Framework. EWSDN Keichi Takahashi, Dashdavaa Khureltulga, Baatarsuren Munkhdorj, Yoshiyuki Kido, Susumu Date, Hiroaki Yamanaka, Eiji Kawai, Shinji Shimojo
2015	—	`conf`	Design and implementation of control sequence generator for SDN-enhanced MPI. NDM@SC Baatarsuren Munkhdorj, Keichi Takahashi, Dashdavaa Khureltulga, Yasuhiro Watashiba, Yoshiyuki Kido, Susumu Date, Shinji Shimojo
2015	—	`conf`	MPI_Reduce algorithm for OpenFlow-enabled network. ISCIT Pisit Makpaisit, Kohei Ichikawa, Putchong Uthayopas, Susumu Date, Keichi Takahashi, Dashdavaa Khureltulga
2014	—	`conf`	Performance evaluation of SDN-enhanced MPI allreduce on a cluster system with fat-tree interconnect. HPCS Keichi Takahashi, Dashdavaa Khureltulga, Yasuhiro Watashiba, Yoshiyuki Kido, Susumu Date, Shinji Shimojo