• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Futamura Yasunori  二村 保徳

ORCIDConnect your ORCID iD *help
Researcher Number 30736210
Other IDs
Affiliation (Current) 2025: 筑波大学, システム情報系, 准教授
Affiliation (based on the past Project Information) *help 2021 – 2025: 筑波大学, システム情報系, 准教授
2018 – 2021: 筑波大学, システム情報系, 助教
Review Section/Research Field
Principal Investigator
Basic Section 60090:High performance computing-related
Except Principal Investigator
Basic Section 60100:Computational science-related / Basic Section 13010:Mathematical physics and fundamental theory of condensed matter physics-related / Basic Section 52040:Radiological sciences-related
Keywords
Principal Investigator
数値線形代数 / 並列計算 / 固有値計算 / 固有値解析 / グラフ解析 / 行列近似 / 大規模系列モデル / 再現可能並列性 / 部分空間拡張 / ラプラス固有写像 … More / スペクトラルアルゴリズム / 固有値解法 / 大規模グラフ / グラフ分割 / グラフアルゴリズム … More
Except Principal Investigator
固有値解析 / 大規模分散データ解析 / 制約付き固有値問題 / 潜在空間生成 / 分散データ解析 / 潜在空間 / 制約条件 / 分子動力学シミュレーション / マテリアルズ・インフォマティクス / 次元削減 / 機械学習 / 分子動力学 / 不規則構造 / 副作用予測 / 治療効果予測 / AI / 小児がん / 影響評価 / 有害事象 / 効果予測 / がん / 成長 / 治療効果 / 晩期有害事象 / 予後予測 / 放射線治療 / 人工知能 / 非線形変数変換 / 非線形変換 / 積分型固有値解法 Less
  • Research Projects

    (7 results)
  • Research Products

    (25 results)
  • Co-Researchers

    (16 People)
  •  Development of Fast Approximation Algorithms for Efficient Large-Scale Long-Term Series ModelsPrincipal Investigator

    • Principal Investigator
      二村 保徳
    • Project Period (FY)
      2025 – 2027
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 60090:High performance computing-related
    • Research Institution
      University of Tsukuba
  •  制約付き固有値問題に基づく局所潜在空間生成とその大規模分散データ解析への応用

    • Principal Investigator
      櫻井 鉄也
    • Project Period (FY)
      2023 – 2027
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 60100:Computational science-related
    • Research Institution
      University of Tsukuba
  •  スペクトラルアルゴリズムによる再現性を指向した高性能並列グラフ解析手法の開発Principal Investigator

    • Principal Investigator
      二村 保徳
    • Project Period (FY)
      2022 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 60090:High performance computing-related
    • Research Institution
      University of Tsukuba
  •  機械学習・次元削減手法による不規則構造のミクロスコピック解析

    • Principal Investigator
      田村 亮
    • Project Period (FY)
      2021 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 13010:Mathematical physics and fundamental theory of condensed matter physics-related
    • Research Institution
      National Institute for Materials Science
  •  A study of massively parallel high-performance graph partitioning using continuous relaxation-based algorithmsPrincipal Investigator

    • Principal Investigator
      Futamura Yasunori
    • Project Period (FY)
      2019 – 2021
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 60090:High performance computing-related
    • Research Institution
      University of Tsukuba
  •  Basic Research for the effect of radiation therapy using artificial intelligence

    • Principal Investigator
      SAKURAI Hideyuki
    • Project Period (FY)
      2019 – 2022
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 52040:Radiological sciences-related
    • Research Institution
      University of Tsukuba
  •  Development of eigenvalue analysis methods using a quadrature-type eigensolver with nonlinear transformations

    • Principal Investigator
      Sakurai Tetsuya
    • Project Period (FY)
      2018 – 2020
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 60100:Computational science-related
    • Research Institution
      University of Tsukuba

All 2024 2023 2022 2021 2020 2019 2018

All Journal Article Presentation

  • [Journal Article] Determination of hyper-parameters in the atomic descriptors for efficient and robust molecular dynamics simulations with machine learning forces2023

    • Author(s)
      Lin Jianbo、Tamura Ryo、Futamura Yasunori、Sakurai Tetsuya、Miyazaki Tsuyoshi
    • Journal Title

      Physical Chemistry Chemical Physics

      Volume: 25 Issue: 27 Pages: 17978-17986

    • DOI

      10.1039/d3cp01922e

    • Peer Reviewed
    • Data Source
      KAKENHI-PLANNED-20H05883, KAKENHI-PROJECT-23K20816
  • [Journal Article] Structural analysis based on unsupervised learning: Search for a characteristic low-dimensional space by local structures in atomistic simulations2022

    • Author(s)
      Tamura Ryo、Matsuda Momo、Lin Jianbo、Futamura Yasunori、Sakurai Tetsuya、Miyazaki Tsuyoshi
    • Journal Title

      Physical Review B

      Volume: 105 Issue: 7 Pages: 1-18

    • DOI

      10.1103/physrevb.105.075107

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19K20280, KAKENHI-PROJECT-18H03250, KAKENHI-PLANNED-20H05883, KAKENHI-PROJECT-18H01143, KAKENHI-PROJECT-23K20816
  • [Journal Article] Flexible subspace iteration with moments for an effective contour integration‐based eigensolver2022

    • Author(s)
      Huber Sarah、Futamura Yasunori、Galgon Martin、Imakura Akira、Lang Bruno、Sakurai Tetsuya
    • Journal Title

      Numerical Linear Algebra with Applications

      Volume: online first Issue: 6 Pages: 1-14

    • DOI

      10.1002/nla.2447

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20280, KAKENHI-PROJECT-18H03250
  • [Journal Article] Efficient Contour Integral-based Eigenvalue Computation Using an Iterative Linear Solver with Shift-Invert Preconditioning2021

    • Author(s)
      Futamura Yasunori、Sakurai Tetsuya
    • Journal Title

      HPC Asia 2021: The International Conference on High Performance Computing in Asia-Pacific Region

      Volume: 該当なし Pages: 90-99

    • DOI

      10.1145/3432261.3432269

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K20280, KAKENHI-PROJECT-18H03250
  • [Journal Article] Spectral Graph Partitioning Using Geodesic Distance-based Projection2021

    • Author(s)
      Futamura Yasunori、Wakaki Ryota、Sakurai Tetsuya
    • Journal Title

      2021 IEEE High Performance Extreme Computing Conference (HPEC)

      Volume: proceedings Pages: 1-7

    • DOI

      10.1109/hpec49654.2021.9622831

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19K20280, KAKENHI-PROJECT-18H03250
  • [Journal Article] Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace2021

    • Author(s)
      Takahiro Yano, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai
    • Journal Title

      In: Proceedings of HPC Asia 2021: The International Conference on High Performance Computing in Asia-Pacific Region

      Volume: 1 Pages: 83-89

    • DOI

      10.1145/3432261.3432267

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-17K12690, KAKENHI-PROJECT-19K20280, KAKENHI-PROJECT-18H03250
  • [Journal Article] Spectral anomaly detection in large graphs using a complex moment-based eigenvalue solver2020

    • Author(s)
      Yasunori Futamura, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
    • Journal Title

      ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

      Volume: 6 Issue: 2 Pages: 04020010-04020010

    • DOI

      10.1061/ajrua6.0001054

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19K20280
  • [Journal Article] Scalable Eigen-analysis engine for large-scale eigenvalue problems2019

    • Author(s)
      T. Sakurai, Y. Futamura, A. Imakura, T. Imamura
    • Journal Title

      Advanced Software Technologies for Post-Peta Scale Computing

      Volume: 1巻 Pages: 37-57

    • DOI

      10.1007/978-981-13-1924-2_3

    • ISBN
      9789811319235, 9789811319242
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18H03250
  • [Journal Article] Polynomial Preconditioner for Linear Systems with Multiple Right-Hand Sides and Multiple Shifts2019

    • Author(s)
      関川 悠太, 二村 保徳, 今倉 暁, 櫻井 鉄也
    • Journal Title

      Transactions of the Japan Society for Industrial and Applied Mathematics

      Volume: 29 Issue: 1 Pages: 141-164

    • DOI

      10.11540/jsiamt.29.1_141

    • NAID

      130007618976

    • ISSN
      2424-0982
    • Language
      Japanese
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-17K12690, KAKENHI-PROJECT-18H03250
  • [Journal Article] Scalable Eigen-analysis engine for large-scale eigenvalue problems.2019

    • Author(s)
      T. Sakurai, Y. Futamura, A. Imakura, T. Imamura
    • Journal Title

      Advanced Software Technologies for Post-Peta Scale Computing

      Volume: 24 Issue: 6 Pages: 37-57

    • DOI

      10.3233/ida-194942

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18H03250, KAKENHI-PROJECT-16K17639
  • [Journal Article] Performance evaluation of the Sakurai-Sugiura method with a block Krylov subspace linear solver for large dense Hermitian-definite generalized eigenvalue problems2018

    • Author(s)
      Takahiro Yano, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai
    • Journal Title

      JSIAM Letters

      Volume: 10 Issue: 0 Pages: 77-80

    • DOI

      10.14495/jsiaml.10.77

    • NAID

      130007550465

    • ISSN
      1883-0609, 1883-0617
    • Language
      English
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-17K12690, KAKENHI-PROJECT-18H03250
  • [Presentation] Distributed Data Analysis Through Data Collaboration Technique2024

    • Author(s)
      Tetsuya Sakurai, Akira Imakura, Yasunori Futamura
    • Organizer
      2024 SIAM Conference on Parallel Processing for Scientific Computing
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K28101
  • [Presentation] Recent Progress in Complex Moment-based Eigenvalue Solvers2024

    • Author(s)
      Akira Imakura, Tetsuya Sakurai, Yasunori Futamura
    • Organizer
      2024 SIAM Conference on Parallel Processing for Scientific Computing
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K28101
  • [Presentation] Spectral methods for dimensionality reduction, clustering, and network embedding in biological data analysis2023

    • Author(s)
      Yasunori Futamura
    • Organizer
      University of Tsukuba-National Taiwan University Joint Symposium on Digital Health and Medicine 2023
    • Data Source
      KAKENHI-PROJECT-22K12046
  • [Presentation] Search for a characteristic low-dimensional space by local structures and dimensionality reduction2022

    • Author(s)
      R. Tamura, J. Lin, Y. Futamura, T. Sakurai, T. Miyazaki
    • Organizer
      WPI-MANA INTERNATIONAL SYMPOSIUM 2022
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K12046
  • [Presentation] 機械学習を用いた子宮頸がんの放射線治療効果判定モデルの開発2022

    • Author(s)
      後藤雅明, 二村保徳, 坂本規彰, 飯島達生, 玉木義雄, 櫻井鉄也, 櫻井英幸.
    • Organizer
      第4回日本メディカルAI学会学術集会
    • Data Source
      KAKENHI-PROJECT-19H03596
  • [Presentation] Search for a characteristic low-dimensional space by local structures and dimensionality reduction2022

    • Author(s)
      Ryo Tamura, Jianbo Lin, Yasunori Futamura, Tetsuya Sakurai, and Tsuyoshi Miyazaki
    • Organizer
      WPI-MANA INTERNATIONAL SYMPOSIUM 2022
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K20816
  • [Presentation] Spectral Graph Partitioning Using Geodesic Distance-based Projection2021

    • Author(s)
      Futamura Yasunori、Wakaki Ryota、Sakurai Tetsuya
    • Organizer
      2021 IEEE High Performance Extreme Computing Conference (HPEC)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20280
  • [Presentation] Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace2021

    • Author(s)
      Yano Takahiro、Futamura Yasunori、Imakura Akira、Sakurai Tetsuya
    • Organizer
      HPC Asia 2021: The International Conference on High Performance Computing in Asia-Pacific Region
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20280
  • [Presentation] Efficient Contour Integral-based Eigenvalue Computation Using an Iterative Linear Solver with Shift-Invert Preconditioning2021

    • Author(s)
      Futamura Yasunori、Sakurai Tetsuya
    • Organizer
      HPC Asia 2021: The International Conference on High Performance Computing in Asia-Pacific Region
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20280
  • [Presentation] 構造解析向け超並列固有値ソルバの大規模実応用モデルにおける性能評価2019

    • Author(s)
      二村保徳, 櫻井鉄也, 畠澤作二郎
    • Organizer
      日本応用数理学会2019年度年会
    • Data Source
      KAKENHI-PROJECT-19K20280
  • [Presentation] Spectral nested dissection for large-scale sparse matrix factorization2019

    • Author(s)
      Yasunori Futamura, Tetsuya Sakurai
    • Organizer
      2019 Mini-Workshop on Computational Science
    • Data Source
      KAKENHI-PROJECT-19K20280
  • [Presentation] 反復線形ソルバを用いた大規模密一般化固有値問題向けSS-RR法の性能評価2018

    • Author(s)
      矢野貴大、二村保徳、今倉暁、櫻井鉄也
    • Organizer
      日本応用数理学会2018年度年会
    • Data Source
      KAKENHI-PROJECT-18H03250
  • [Presentation] Efficient Parallel Implementation of Spectral Nested Dissection for Large-Scale Sparse Linear System2018

    • Author(s)
      Yuta Inagawa, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai
    • Organizer
      PMAA18
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03250
  • [Presentation] Intel Xeon Phiを用いたSpectral nested dissectionの性能評価2018

    • Author(s)
      稲川裕太, 二村保徳, 今倉暁, 櫻井鉄也
    • Organizer
      SWoPP2018
    • Data Source
      KAKENHI-PROJECT-18H03250
  • 1.  Sakurai Tetsuya (60187086)
    # of Collaborated Projects: 3 results
    # of Collaborated Products: 8 results
  • 2.  今倉 暁 (60610045)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 8 results
  • 3.  SAKURAI Hideyuki (50235222)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 4.  保國 惠一 (90765934)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 5.  沼尻 晴子 (00712845)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 6.  水本 斉志 (20512388)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 7.  照沼 利之 (40361349)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 8.  秋山 浩 (70818830)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 9.  奥村 敏之 (50241815)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 10.  野中 哲生 (40375556)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 11.  石川 仁 (70344918)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 12.  田村 亮 (20636998)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 13.  宮崎 剛 (50354147)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 14.  叶 秀彩 (60814001)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 15.  BOGDANOVA ANNA (70924463)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 16.  桜井 英幸
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results

URL: 

Are you sure that you want to link your ORCID iD to your KAKEN Researcher profile?
* This action can be performed only by the researcher himself/herself who is listed on the KAKEN Researcher’s page. Are you sure that this KAKEN Researcher’s page is your page?

この研究者とORCID iDの連携を行いますか?
※ この処理は、研究者本人だけが実行できます。

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi