Rchr
J-GLOBAL ID:200901010326652699   Update date: Nov. 01, 2024

Kouya Tomonori

コウヤ トモノリ | Kouya Tomonori
Affiliation and department:
Job title: Full Professor
Homepage URL  (2): https://na-inet.jp/https://www.researchgate.net/profile/Tomonori-Kouya
Research field  (5): Control and systems engineering ,  Applied mathematics and statistics ,  Basic mathematics ,  Science education ,  Library/information science, humanistic/social informatics
Research keywords  (6): High Performance Computing ,  Multiple precision computation ,  Numerical Analysis ,  Mathematical Information Education ,  Web programming ,  The Intenet
Research theme for competitive and other funds  (9):
  • 2023 - 2026 混合精度計算を用いた悪条件非線形方程式の高速多倍長精度求解法の開発
  • 2020 - 2023 Development of efficient arbitrary precision numerical linear computation library optimized for multi-core CPUs
  • 2004 - 2006 生物的自己組織化による新規の自己修復・再生工学システムの構築
  • 2006 - 経験に基づく誤差評価法(古典的誤差評価法)を用いた任意精度数値計算アルゴリズムに関する研究
  • 2006 - Study on arbitrary precision computation based on empirical error estimation method (Classical Error Estimation, CEE)
Show all
Papers (27):
  • Tomonori Kouya. Performance Evaluation of Accelerated Complex Multiple-Precision LU Decomposition. ICCSA 2024. Lecture Notes in Computer Science. 2024. 14818. 3-19
  • Tomonori Kouya. Acceleration of Complex Matrix Multiplication Using Arbitrary Precision Floating-Point Arithmetic. 2023 International Conference on Engineering and Emerging Technologies (ICEET). 2023. 1-6
  • Tomonori Kouya. Accelerated multiple precision direct method and mixed precision iterative refinement in Python programming environment. AIP Conference Proceedings. 2023. 2849. 450018
  • Tomonori Kouya, Taiga Utsugiri. Optimization of Multiple-Precision LU Decomposition Using Ozaki Scheme. ICCSA2023, Springer LNCS. 2023. 14105. 529-545
  • Tomonori Kouya. Optimization of mixed-precision iterative refinement using parallelized direct methods. 2022 International Conference on Engineering and Emerging Technologies (ICEET). 2022
more...
MISC (60):
  • Tomonori Kouya. Acceleration of multiple-precision complex basic linear computation on Python programming environment. Bulletin of Shizuoka Institute of Science and Technology. 2024. 32. 69-74
  • Tomonori Kouya. Performance evaluation of accelerated complex multiple-precision LU decomposition. 2024
  • KOUYA, Tomonori. Propose of statistical error estimation in numerical process. The Bulletin of the Shizuoka Institute of Science and Technology. 2023. 31. 75-78
  • Tomonori, KOUYA. Performance Evaluation of BNCmatmul, multiple precision linear computation library, accelerated with x86 AVX instruction. 2022. 30. 7-11
  • Tomonori, KOUYA. Development of Teaching Materials for Python-based Web Programming using Flask. 2022. 30. 123-128
more...
Books (7):
  • Python数値計算プログラミング
    講談社 2021 ISBN:9784065227350
  • Multiple Precision Arithmetic Numerical Computation with GNU MP, MPFR and QD
    2019 ISBN:9784627854918
  • LAPACK/BLAS入門
    森北出版 2016 ISBN:4627848811
  • 基礎から身につける線形代数
    共立出版 2014 ISBN:4320110986
  • Programming with Multiple Precision (Studies in Computational Intelligence)
    Springer 2014 ISBN:364243374X
more...
Lectures and oral presentations  (61):
  • Implementation and performance evaluation of multiple-precision basic linear computing module on Python eco-system
    (JSIAM Annual Meetings 2024 Organized Session 2024)
  • Performance evaluation of sparse matrix-vector multiplication supporting variable-precision floating-point arithmetic
    (Summer United Workshops on Parallel, Distributed and Cooperative Processing(SWoPP2024) 2024)
  • Acceleration of multi-component-type multiple-precision SpMV and its application
    (The 50th Numerical Analysis Symposium 2024)
  • Acceleration of complex LU decomposition with multi-component-type multiple-precision floating-point arithmetic
    (SIG Technical Report (HPC) 2024)
  • Performance evaluation of multi-component-type multiple-precision complex LU decomposition using 3M method
    (2023)
more...
Works (9):
  • Computer Networking with experimental training
    Tomonori Kouya 2023 - 現在
  • Introduction to Web Application Development with HTML5 + JavaScript + Bootstrap + MySQL
    Tomonori Kouya 2022 - 現在
  • MPFRgraph: Multiple-precision calculation of functions and drawing graph
    Tomonori Kouya 2020 - 現在
  • Creating Web Applications with Flask
    Tomonori Kouya 2020 - 現在
  • Introduction to Web Application Development with HTML5 + PHP + MySQL + JavaScript + jQuery
    Tomonori Kouya 2018 - 現在
more...
Education (3):
  • 1994 - 1997 Nihon University Graduate School of Science and Technology
  • 1991 - 1993 Nihon University Graduate School of Science and Technology Mathematics
  • 1987 - 1991 Tokyo University of Science Faculty of Science and Technology Mathematics
Professional career (1):
  • Ph.D (Nihon University)
Work history (13):
  • 2023/04 - 現在 Shizuoka Institute of Science and Technology Faculty of Informatics Professor (Department Chair of Computer Science)
  • 2019/04 - 2023/03 Shizuoka Institute of Science and Technology Faculty of Informatics Full Professor
  • 2017/04 - 2019/03 Shizuoka Institute of Science and Technology Faculty of informatics Professor
  • 2016/04 - 2017/03 Shizuoka Institute of Science and Technology Department of Computer System, Faculty of Comprehensive Informatics Professor
  • 2011/04 - 2016/03 Shizuoka Institute of Science and Technology Department of Computer System, Faculty of Comprehensive Informatics Associate Professor
Show all
Committee career (10):
  • 2023/06 - 現在 日本工学教育協会 校閲委員
  • 2020/06 - 2023/05 情報処理学会 論文誌シニア査読委員
  • 2019/05 - 2023/03 情報処理学会 ACS論文誌編集委員
  • 2017/04 - 2021/03 日本応用数理学会 論文誌編集委員
  • 2014/06 - 2020/05 情報処理学会 論文誌査読委員
Show all
Awards (1):
  • 2009/09 - 情報教育研究集会 優秀論文賞 Web デザイン特別プログラム教育のための小規模サーチエンジンの試作
Association Membership(s) (3):
Society for Industrial and Applied Mathematics ,  Information Processing Society of Japan ,  The Japan Society for Industrial and Applied Mathematics
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page