Takahashi Keichi 高橋慧智

Researcher Number	40846408
Other IDs	https://orcid.org/0000-0002-1607-5694
Affiliation (Current)	2026: 大阪大学, D3センター, 准教授
Affiliation (based on the past Project Information) *help	2026: 大阪大学, D3センター, 准教授 2024: 大阪大学, D3センター, 准教授 2021 – 2023: 東北大学, サイバーサイエンスセンター, 助教 2020: 奈良先端科学技術大学院大学, 先端科学技術研究科, 助教
Review Section/Research Field	Principal Investigator Basic Section 60090:High performance computing-related
Keywords	Principal Investigator 高性能計算 / 機械学習 / 説明可能AI / テンソル演算 / 特徴量重要度 / 深層学習 / 遺伝的アルゴリズム / 性能モデル / 自動チューニング / XAI … More / 並列分散計算 / 負荷分散 / In-situ処理 / 性能計測 / オーケストレーション / ワークフロー / 資源管理 / In-situ可視化 / 対話的データ解析 / ヘテロジニアスコンピューティング / 広域分散ワークフロー / In-situワークフロー Less

I/O・演算の一体的オフローディングによるデータ解析処理加速基盤Principal Investigator
- Principal Investigator
  
  高橋慧智
- Project Period (FY)
  2026 – 2028
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 60090:High performance computing-related
- Research Institution
  The University of Osaka
Autonomous Discovery of Performance Tuning Insights Using AutotuningPrincipal Investigator
- Principal Investigator
  
  高橋慧智
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 60090:High performance computing-related
- Research Institution
  Osaka University
  Tohoku University
An adaptive resource management framework for In-situ workflowsPrincipal Investigator
- Principal Investigator
  
  Takahashi Keichi
- Project Period (FY)
  2020 – 2024
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 60090:High performance computing-related
- Research Institution
  Osaka University
  Tohoku University
  Nara Institute of Science and Technology

All 2025 2024 2023 2022 2021 2020

All Journal Article Presentation

[Journal Article] Leveraging Hardware Performance Counters for Predicting Workload Interference in?Vector Supercomputers2025
- Author(s)
  Shubham、Takahashi Keichi、Takizawa Hiroyuki
- Journal Title
  
  Lecture Notes in Computer Science
  
  Volume: 15502 Pages: 553-565
- DOI
  10.1007/978-981-96-4207-6_50
- ISBN
  9789819642069, 9789819642076
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K19764, KAKENHI-PROJECT-24K02945, KAKENHI-PROJECT-23K16890
[Journal Article] DRAS-OD: A Reinforcement Learning based Job Scheduler for On-Demand Job Scheduling in High-Performance Computing Systems2024
- Author(s)
  Cui Hang、Takahashi Keichi、Takizawa Hiroyuki
- Journal Title
  
  2024 Twelfth International Symposium on Computing and Networking (CANDAR)
  
  Volume: - Pages: 21-29
- DOI
  10.1109/candar64496.2024.00011
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K19764, KAKENHI-PROJECT-23K16890
[Journal Article] Combining Lossy Compression with Multi-Level Caching for Data Staging over Network2024
- Author(s)
  Aoyagi Rei、Takahashi Keichi、Shimomura Yoichi、Takizawa Hiroyuki
- Journal Title
  
  2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
  
  Volume: - Pages: 212-221
- DOI
  10.1109/ipdpsw63119.2024.00059
- Data Source
  KAKENHI-PROJECT-20K19808
[Journal Article] Clustering Based Job Runtime Prediction for Backfilling Using Classification2024
- Author(s)
  Cui Hang、Takahashi Keichi、Shimomura Yoichi、Takizawa Hiroyuki
- Journal Title
  
  Workshop on Job Scheduling Strategies for Parallel Processing
  
  Volume: - Pages: 40-59
- DOI
  10.1007/978-3-031-74430-3_3
- ISBN
  9783031744297, 9783031744303
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K19764, KAKENHI-PROJECT-23K16890
[Journal Article] Real-Time Phase Retrieval Using On-the-Fly Training of Sample-Specific Surrogate Models2024
- Author(s)
  Koda Ryota、Takahashi Keichi、Takizawa Hiroyuki、Ishiguro Nozomu、Takahashi Yukio
- Journal Title
  
  2024 Twelfth International Symposium on Computing and Networking (CANDAR)
  
  Volume: - Pages: 59-66
- DOI
  10.1109/candar64496.2024.00015
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K19764, KAKENHI-PROJECT-23K16890
[Journal Article] Toward Scalable Empirical Dynamic Modeling2024
- Author(s)
  Keichi Takahashi, Kohei Ichikawa, Gerald M. Pao
- Journal Title
  
  Sustained Simulation Performance 2022
  
  Volume: - Pages: 61-69
- DOI
  10.1007/978-3-031-41073-4_5
- ISBN
  9783031410727, 9783031410734
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19808
[Journal Article] Modernizing an Operational Real-Time Tsunami Simulator to Support Diverse Hardware Platforms2024
- Author(s)
  Takahashi Keichi、Abe Takashi、Musa Akihiro、Sato Yoshihiko、Shimomura Yoichi、Takizawa Hiroyuki、Koshimura Shunichi
- Journal Title
  
  2024 IEEE International Conference on Cluster Computing (CLUSTER)
  
  Volume: - Pages: 414-425
- DOI
  10.1109/cluster59578.2024.00043
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-24K02945, KAKENHI-PROJECT-23K16890
[Journal Article] XAI-Based Feature Importance Analysis on Loop Optimization2024
- Author(s)
  Katayama Toshinobu、Takahashi Keichi、Shimomura Yoichi、Takizawa Hiroyuki
- Journal Title
  
  2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
  
  Volume: - Pages: 782-791
- DOI
  10.1109/ipdpsw63119.2024.00142
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23K16890
[Journal Article] A QA-Assisted Job Scheduler for Minimizing the Impact of Urgent Computing on HPC System Operation2024
- Author(s)
  Ohmura Tatsuyoshi、Takahashi Keichi、Egawa Ryusuke、Takizawa Hiroyuki
- Journal Title
  
  2024 Twelfth International Symposium on Computing and Networking Workshops (CANDARW)
  
  Volume: - Pages: 197-203
- DOI
  10.1109/candarw64572.2024.00039
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K19764, KAKENHI-PROJECT-24K02945, KAKENHI-PROJECT-23K16890
[Journal Article] Scalable Empirical Dynamic Modeling With Parallel Computing and Approximate k-NN Search2023
- Author(s)
  Keichi Takahashi, Kohei Ichikawa, Joseph Park, Gerald M. Pao
- Journal Title
  
  IEEE Access
  
  Volume: 11 Pages: 68171-68183
- DOI
  10.1109/access.2023.3289836
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19808
[Journal Article] Prototype of a Batched Quantum Circuit Simulator for the Vector Engine2023
- Author(s)
  Keichi Takahashi, Toshio Mori, Hiroyuki Takizawa
- Journal Title
  
  SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis
  
  Volume: - Pages: 1499-1505
- DOI
  10.1145/3624062.3624226
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23K16890
[Journal Article] Multi-Objective Optimization of Controller Placement in Distributed ONOS Networks2023
- Author(s)
  Kang Xingyuan, Keichi Takahashi, Chawanat Nakasan, Kohei Ichikawa, Hajimu Iida
- Journal Title
  
  2023 Eleventh International Symposium on Computing and Networking (CANDAR)
  
  Volume: - Pages: 76-85
- DOI
  10.1109/candar60563.2023.00017
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19808
[Journal Article] Parallelizable Loop Detection using Pre-trained Transformer Models for Code Understanding2023
- Author(s)
  Soratouch Pornmaneerattanatri, Keichi Takahashi, Yutaro Kashiwa, Kohei Ichikawa, Hajimu Iida
- Journal Title
  
  Lecture Notes in Electrical Engineering
  
  Volume: 112 Pages: 32-42
- DOI
  10.1007/978-981-99-8211-0_4
- ISBN
  9789819982103, 9789819982110
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23K16890
[Journal Article] Performance Evaluation of a Next-Generation SX-Aurora TSUBASA Vector Supercomputer2023
- Author(s)
  Keichi Takahashi, Soya Fujimoto, Satoru Nagase, Yoko Isobe, Yoichi Shimomura, Ryusuke Egawa, and Hiroyuki Takizawa
- Journal Title
  
  Lecture Notes in Computer Science
  
  Volume: 13948 Pages: 359-378
- DOI
  10.1007/978-3-031-32041-5_19
- ISBN
  9783031320408, 9783031320415
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K19764, KAKENHI-PROJECT-20K19808, KAKENHI-PROJECT-20H00593, KAKENHI-PROJECT-21H03449
[Presentation] Sparse Communication for Federated Learning2022
- Author(s)
  Thonglek Kundjanasith、Takahashi Keichi、Ichikawa Kohei, Nakasan Chawanat, Leelaprute Pattara, and Iida Hajimu
- Organizer
  IEEE 6th International Conference on Fog and Edge Computing (ICFEC)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19808
[Presentation] Challenges in Scaling Empirical Dynamic Modeling2022
- Author(s)
  Keichi Takahashi and Gerald Pao
- Organizer
  34th Workshop on Sustained Simulation Performance (WSSP34)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19808
[Presentation] kEDM: A Performance-portable Implementation of Empirical Dynamic Modeling using Kokkos2021
- Author(s)
  Keichi Takahashi, Wassapon Watanakeesuntorn, Kohei Ichikawa, Joseph Park, Ryousei Takano, Jason Haga, George Sugihara, Gerald M. Pao
- Organizer
  Practice & Experience in Advanced Research Computing (PEARC 2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19808
[Presentation] Comparative Performance Study of Lightweight Hypervisors Used in Container Environment2021
- Author(s)
  Guoqing Li, Keichi Takahashi, Kohei Ichikawa, Hajimu Iida, Pree Thiengburanathum, Passakorn Phannachitta
- Organizer
  11th International Conference on Cloud Computing and Services Science (CLOSER 2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19808
[Presentation] Massively Parallel Causal Inference of Whole Brain Dynamics at Single Neuron Resolution2020
- Author(s)
  Wassapon Watanakeesuntorn, Keichi Takahashi, Kohei Ichikawa, Joseph Park, George Sugihara, Ryousei Takano, Jason Haga, Gerald M. Pao
- Organizer
  26th International Conference on Parallel and Distributed Systems (ICPADS 2020)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19808

1. 滝沢寛之

# of Collaborated Projects: 0 results

# of Collaborated Products: 7 results

Takahashi Keichi 高橋 慧智

Research Projects

Research Products

Co-Researchers

I/O・演算の一体的オフローディングによるデータ解析処理加速基盤Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Autonomous Discovery of Performance Tuning Insights Using AutotuningPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

An adaptive resource management framework for In-situ workflowsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Leveraging Hardware Performance Counters for Predicting Workload Interference in?Vector Supercomputers2025

Author(s)

Journal Title

DOI

ISBN

Data Source

[Journal Article] DRAS-OD: A Reinforcement Learning based Job Scheduler for On-Demand Job Scheduling in High-Performance Computing Systems2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Combining Lossy Compression with Multi-Level Caching for Data Staging over Network2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Clustering Based Job Runtime Prediction for Backfilling Using Classification2024

Author(s)

Journal Title

DOI

ISBN

Data Source

[Journal Article] Real-Time Phase Retrieval Using On-the-Fly Training of Sample-Specific Surrogate Models2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Toward Scalable Empirical Dynamic Modeling2024

Author(s)

Journal Title

DOI

ISBN

Data Source

[Journal Article] Modernizing an Operational Real-Time Tsunami Simulator to Support Diverse Hardware Platforms2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] XAI-Based Feature Importance Analysis on Loop Optimization2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] A QA-Assisted Job Scheduler for Minimizing the Impact of Urgent Computing on HPC System Operation2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Scalable Empirical Dynamic Modeling With Parallel Computing and Approximate k-NN Search2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Prototype of a Batched Quantum Circuit Simulator for the Vector Engine2023

Author(s)

Journal Title

DOI

Data Source

Takahashi Keichi 高橋慧智