Takahashi Keichi 高橋慧智

… Alternative Names

高橋慧智タカハシケイチ

Less

Researcher Number	40846408
Other IDs	https://orcid.org/0000-0002-1607-5694
Affiliation (Current)	2025: 大阪大学, D3センター, 准教授
Affiliation (based on the past Project Information) *help	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 / 性能モデル / 深層学習 / 自動チューニング / XAI / 並列分散計算 … More / 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ワークフロー / In-situ可視化 / ヘテロジニアスコンピューティング Less

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
  Tohoku University
An adaptive resource management framework for In-situ workflowsPrincipal Investigator
- Principal Investigator
  
  高橋慧智
- 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
  Tohoku University
  Nara Institute of Science and Technology

All 2024 2023 2022 2021 2020

All Journal Article Presentation

[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] 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] 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
[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
[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] 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] 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] 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: 1 results

Takahashi Keichi 高橋 慧智

高橋 慧智 タカハシ ケイチ

Research Projects

Research Products

Co-Researchers

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] Toward Scalable Empirical Dynamic Modeling2024

Author(s)

Journal Title

DOI

ISBN

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] Parallelizable Loop Detection using Pre-trained Transformer Models for Code Understanding2023

Author(s)

Journal Title

DOI

ISBN

Data Source

[Journal Article] Performance Evaluation of a Next-Generation SX-Aurora TSUBASA Vector Supercomputer2023

Author(s)

Journal Title

DOI

ISBN

Data Source

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

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Multi-Objective Optimization of Controller Placement in Distributed ONOS Networks2023

Author(s)

Journal Title

DOI

Data Source

[Presentation] Sparse Communication for Federated Learning2022

Author(s)

Organizer

Data Source

[Presentation] Challenges in Scaling Empirical Dynamic Modeling2022

Author(s)

Organizer

Data Source

[Presentation] Comparative Performance Study of Lightweight Hypervisors Used in Container Environment2021

Author(s)

Organizer

Data Source

[Presentation] kEDM: A Performance-portable Implementation of Empirical Dynamic Modeling using Kokkos2021

Author(s)

Organizer

Data Source

[Presentation] Massively Parallel Causal Inference of Whole Brain Dynamics at Single Neuron Resolution2020

Author(s)

Organizer

Data Source

Takahashi Keichi 高橋慧智

高橋慧智タカハシケイチ