ホーム > 二村 保徳/ Futamura, Yasunori

二村 保徳

Futamura, Yasunori

システム情報系 , 准教授
Faculty of Engineering, Information and Systems , Associate Professor

http://www.cs.tsukuba.ac.jp/~futamura/

オープンアクセス版の論文は「つくばリポジトリ」で読むことができます。
  1. 1. Extraction of local structure differences in silica based on unsupervised learning Anh Khoa Augustin Lu; Jianbo Lin; Yasunori Futamura; Tetsuya Sakurai (+1 著者) Tsuyoshi Miyazaki
      Physical Chemistry Chemical Physics (2024) Semantic Scholar
  2. 2. Determination of hyper-parameters in the atomic descriptors for efficient and robust molecular dynamics simulations with machine learning forces Jianbo Lin; Ryo Tamura; Yasunori Futamura; Tetsuya SakuraiTsuyoshi Miyazaki
      Physical Chemistry Chemical Physics 25: 17978 - 17986 (2023) Semantic Scholar
  3. 3. iLoc-miRNA: extracellular/intracellular miRNA prediction using deep BiLSTM with attention mechanism. Zhao-Yue Zhang; Lin Ning; Xiucai Ye; Yu-He Yang (+2 著者) Hao Lin
      Briefings in bioinformatics 23: (2022) Semantic Scholar
  4. 4. Extracellular vesicles derived from Wharton's Jelly mesenchymal stem cells inhibit the tumor environment via the miR-125b/HIF1α signaling pathway. Yun-Hsuan Chang; Cat-Khanh Vuong; Nhat-Hoang Ngo; Toshiharu Yamashita (+8 著者) Osamu Ohneda
      Scientific reports 12: 13550 - 13550 (2022) Semantic Scholar
  5. 5. Multiview network embedding for drug-target Interactions prediction by consistent and complementary information preserving. Yifan Shang; Xiucai Ye; Yasunori Futamura; Liang YuTetsuya Sakurai
      Briefings in bioinformatics 23: 1 - 13 (2022) Semantic Scholar
  6. 6. Flexible subspace iteration with moments for an effective contour integration‐based eigensolver Sarah Huber; Yasunori Futamura; Martin Galgon; Akira Imakura (+1 著者) Tetsuya Sakurai
      Numerical Linear Algebra with Applications 1 - 14 (2022) Semantic Scholar
  7. 7. Structural analysis based on unsupervised learning: Search for a characteristic low-dimensional space by local structures in atomistic simulations Ryo Tamura; Momo Matsuda; Jianbo Lin; Yasunori Futamura (+1 著者) Tsuyoshi Miyazaki
      PHYSICAL REVIEW B 105: 075107 (2022) Semantic Scholar
  8. 8. Distortion-free PCA on sample space for highly variable gene detection from single-cell RNA-seq data Momo MATSUDA; Yasunori FUTAMURA; Xiucai YE; Tetsuya SAKURAI
      Frontiers of Computer Science 17: (2022) Semantic Scholar
  9. 9. Contour Integral-based Quantum Algorithm for Estimating Matrix Eigenvalue Density Yasunori Futamura; Xiucai Ye; Tetsuya Sakurai
      arXiv 2112.05395: 1 - 4 (2021)
  10. 10. Spectral Graph Partitioning Using Geodesic Distance-based Projection Yasunori Futamura; Ryota Wakaki; Tetsuya Sakurai
      2021 IEEE High Performance Extreme Computing Conference (HPEC) 1 - 7 (2021) Semantic Scholar
  11. 11. Efficient Contour Integral-based Eigenvalue Computation Using an Iterative Linear Solver with Shift-Invert Preconditioning. Yasunori Futamura; Tetsuya Sakurai
      HPC Asia 2021: The International Conference on High Performance Computing in Asia-Pacific Region 90 - 99 (2021) Semantic Scholar
  12. 12. Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace. Takahiro Yano; Yasunori Futamura; Akira Imakura; Tetsuya Sakurai
      HPC Asia 2021: The International Conference on High Performance Computing in Asia-Pacific Region 83 - 89 (2021) Semantic Scholar
  13. 13. Detecting Interactive Gene Groups for Single-Cell RNA-Seq Data Based on Co-Expression Network Analysis and Subgraph Learning. Xiucai Ye; Weihang Zhang; Yasunori Futamura; Tetsuya Sakurai
      Cells 9: (2020) Semantic Scholar
  14. 14. Spectral anomaly detection in large graphs using a complex moment-based eigenvalue solver Yasunori Futamura; Xiucai Ye; Akira Imakura; Tetsuya Sakurai
      ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 6: 04020010 (2020)
  15. 15. ESSEX: Equipping Sparse Solvers For Exascale. Christie L. Alappat; Andreas Alvermann; Achim Basermann; Holger Fehske (+13 著者) Gerhard Wellein
      Software for Exascale Computing 143 - 187 (2020)
  16. 16. Benefits from using mixed precision computations in the ELPA-AEO and ESSEX-II eigensolver projects Alvermann Andreas; Basermann Achim; Bungartz; Hans-Joachim (+29 著者) Wellein Gerhard
      JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS 36: 699 - 717 (2019) Semantic Scholar
  17. 17. Efficient Vector Partitioning Algorithm for Modularity-based Graph Clustering Hiroaki Shiokawa; Yasunori Futamura
      Journal of Data Intelligence 1: 101 - 123 (2019)
  18. 18. 複数右辺ベクトルを持つシフト線形方程式に対する多項式前処理の有効性の検証 関川 悠太; 二村 保徳; 今倉 暁; 櫻井 鉄也
      29: 141 - 164 (2019)
  19. 19. Scalable Eigen-analysis engine for large-scale eigenvalue problems Tetsuya Sakurai; Yasunori Futamura; Akira Imakura; Toshiyuki Imamura
      Advanced Software Technologies for Post-Peta Scale Computing: The Japanese Post-Peta CREST Research Project 37 - 57 (2018) Semantic Scholar
  20. 20. Graph Clustering via Cohesiveness-aware Vector Partitioning Hiroaki Shiokawa; Yasunori Futamura
      Proceedings of the 20th International Conference on Information Integration and Web-based Applications & Services 33 - 40 (2018) Semantic Scholar
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  1. 1. シリーズ応用数理 【6】巻『数値線形代数の数理とＨＰＣ』 日本応用数理学会; 監修; 櫻井 鉄也; 松尾 宇泰; 片桐 孝洋 (担当:分担執筆, 範囲:第６章 固有値・特異値問題における並列計算 6.2 射影法)
    共立出版 2018年 (ISBN: 9784320019553)
  1. 1. Parallel Contour Integral-Based Eigenvalue Computation using a Block Krylov Linear Solver with Shift-Invert Preconditioning Yasunori Futamura; Tetsuya Sakurai
    SIAM Conference on Computational Science and Engineering (CSE21) 2021年3月1日
  2. 2. 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 二村保徳; 櫻井鉄也; 畠澤作二郎
    日本応用数理学会2019年度年会 2019年9月4日
  3. 3. Spectral nested dissection for large-scale sparse matrix factorization Yasunori Futamura; Tetsuya Sakurai
    2019 Mini-Workshop on Computational Science 2019年8月19日
  4. 4. Spectral Anomaly Detection in Large Graphs Using a Complex Moment-based Eigenvalue Solver, Yasunori Futamura; Xiucai Ye; Akira Imakura; Tetsuya Sakurai
    2019 International Workshop on Cyber-Physical Systems and Cyber-Resilience 2019年3月20日
  5. 5. A contour intergral-based stochastic estimator for eigenvalue counts of generalized eigenproblems Yasunori Futamura; Takahiro Yano; Akira Imakura; Tetsuya Sakurai
    SIAM Conference on Computational Science and Engineering (CSE19) 2019年3月1日
  6. 6. Symmetry-preserving of the Hankel-type Sakurai-Sugiura eigenvalue solver for large sparse Hermitian definite generalized eigenvalue problem Yasunori Futamura; Akira Imakura; Tetsuya Sakurai
    10th International Workshop on Parallel Matrix Algorithms and Applications (PMAA18) 2018年6月28日
  7. 7. Recent Advances on the Algorithm-based Fault Tolerance of the Sakurai-Sugiura Eigensolver Yasunori Futamura; Akira Imakura; Tetsuya Sakurai
    18th SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP18) 2018年3月7日
  8. 8. Recent advances on the development of a parallel complex moment-based eigenvalue solver package z-Pares Yasunori Futamura; Yuta Inagawa; Tetsuya Sakurai
    International Workshop on Eigenvalue Problems: Algorithms; Software and Applications, in Petascale Computing (EPASA2018) 2018年3月6日
  9. 9. Nonlinear Sakurai-Sagiura method for electronic transport calculation Tetsuya Sakurai; Yasunori Futamura; Presenter; Akira Imakura; Shigeru Iwase; Tomoya Ono
    2017 Meeting of the International Linear Algebra Society 2017年7月26日
  10. 10. A real-valued method for improving efficiency of a contour integral eigenvalue solver Yasunori Futamura; Akira Imakura; Tetsuya Sakurai
    2017 Meeting of the International Linear Algebra Society 2017年7月24日
  11. 11. Nonlinear Sakurai-Sugiura method for electronic transport calculation on KNL cluster Tetsuya Sakurai; Yasunori Futamura; Presenter; Akira Imakura
    The Platform for Advanced Scientific Computing (PASC) Conference 2017 2017年6月27日
  12. 12. Applications of the Parallel Complex Moment-Based Eigensolver Package z-Pares to Large-Scale Scientific Computations Yasunori Futamura; Akira Imakura; Tetsuya Sakurai
    2017 SIAM Conference on Computational Science and Engineering (CSE17) 2017年2月28日
  13. 13. A real-valued method for solving complex symmetric linear systems arising in contour integral eigensolver Yasunori Futamura; Yuto Inoue; Tetsuya Sakurai
    The 9th International Workshop on Parallel Matrix Algorithms and Applications (PMAA16) 2016年7月7日
  14. 14. Real-Valued Technique for Solving Linear Systems Arising in Contour Integral Eigensolver Yasunori Futamura; Tetsuya Sakurai
    17th SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP16) 2016年4月15日
  15. 15. A memory saving technique for a complex moment based sparse eigensolver using the shifted block biconjugate gradient method Yasunori Futamura; Tetsuya Sakurai
    International Workshop on Eigenvalue Problems: Algorithms; Software and Applications, in Petascale Computing (EPASA2015) 2015年9月15日
  16. 16. Highly Parallel Eigenvalue Computation in Vibration Analysis Using A Complex Moment Based Eigensolver Yasunori Futamura; Tetsuya Sakurai; Takanori Ide; Kentaro Toda
    Th 8th International Congress on Industrial and Applied Mathematics (ICIAM2015) 2015年8月11日
  17. 17. z-Pares: Software package for solving large sparse eigenvalue problems based on contour integral and complex moment Yasunori Futamura; Tetsuya Sakurai
    Sparse Solvers for Exascale: From Building Blocks to Applications" takes place in Greifswald, Germany 2015年3月23日
  18. 18. z-Pares: A Complex Moment Based Hierarchical Parallel Eigensolver Package Yasunori Futamura; Tetsuya Sakurai
    the 2014 SIAM Annual Meeting 2014年7月10日
  19. 19. z-Pares: A complex moment based hierarchical parallel eigenvalue solver package Yasunori Futamura; Tetsuya Sakurai
    8th International Workshop on Parallel Matrix Algorithms and Applications (PMAA14) 2014年7月4日
  20. 20. z-Pares: A complex moment based hierarchical parallel eigensolver package Y. Futamura; T. Sakurai
    International Workshop on Eigenvalue Problems: Algorithms; Software and Applications, in Petascale Computing (EPASA2014) 2014年3月
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