Research field (3):
Applied mathematics and statistics
, Computational science
, High-performance computing
Research theme for competitive and other funds (10):
2023 - 2027 Next-generation high-performance linear solver for future computational science and engineering
2022 - 2025 Fast and accurate eigenvalue calculations by hierarchical low-rank approximation and its application to large-scale electronic structure calculations
2019 - 2024 Reproducing dynamic earthquake rupture processes by large scale simulations
2021 - 2024 Construction of numerical linear algebra based on lattice H-matrices and its high-performance implementation on modern architectures
2020 - 2023 Application of Unconventional Linear Algebra Techniques to Continuous Learning in Supergiant Neural Networks
2020 - 2023 余剰コアを活用する高性能計算・データ解析支援
2019 - 2022 High performance linear solver for advanced computational electromagnetics
2018 - 2021 機械学習向けハードウェアとの親和性が高い連立一次方程式の解法
2017 - 2020 超大規模疎行列の全固有値計算に向けた研究
2017 - 2020 H行列法ライブラリの機能拡張と次世代スパコン向け最適化
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Papers (94):
Takuma Koiso, Kengo Sugahara, Akihiro Ida. Accelerating Coil Path Optimization via Truncated Singular Value Decomposition Coupled with Adaptive Cross-Approximation. 2024 IEEE 21st Biennial Conference on Electromagnetic Field Computation (CEFC). 2024. 01-02
OpenACCを用いた地震シミュレーションのGPU並列化. 2024. 1-6
Akihiro Ida. Algebraic Partition Construction Method for Hierarchical Matrices. IEEE Transactions on Magnetics. 2024. 60. 3. 1-4
Masatoshi Kawai, Akihiro Ida, Toshihiro Hanawa, Tetsuya Hoshino. Optimize Efficiency of Utilizing Systems by Dynamic Core Binding. Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region Workshops. 2024. 77-82
Application of Hierarchical matrices to 3D dynamic stress wave kernel: Origin of errors and computational efficiency
(Japan Geoscience Union Meeting 2024 2024)
一万計算コア超時代のGPUに向けたプログラム最適化と自動チューニングを考える
(2023)
Acceleration of the Spatiotemporal Boundary Integral Equation Method Using the FDP=Lattice H Matrices Method
(Advancing Earth and Space Sciences 2023(AGU23) 2023)
2021/04 - 現在 Japan Agency for Marine-Earth Science and Technology
2015/11 - 2021/03 The University of Tokyo
2012/04 - 2015/11 Kyoto University
2000/04 - 2012/01 株式会社ヴァイナス
Awards (3):
2023/07 - Information Processing Society of Japan IPSJ Yamashita SIG Research Award
2019/08 - The 48th International Conference on Parallel Processing Best poster award Implementation of Partitioning of Hierarchical Matrices using Task Parallel Languages
2019/05 - The 3rd cross-disciplinary Workshop on Computing Systems, Infrastructures, and Programming Outstanding Research Award Parallelization of Matrix Partitioning in Construction of Hierarchical Matrices using Task Parallel Languages