Research field (2)：
High-performance computing
, Computational science
Research keywords (2)：
Optimizing real scientific application and performance evaluation
, Large parallel processing
Papers (23)：
Yuta Hirokawa, Atsushi Yamada, Shunsuke Yamada, Masashi Noda, Mitsuharu Uemoto, Taisuke Boku, Kazuhiro Yabana. Large-scale ab initio simulation of light-matter interaction at the atomic scale in Fugaku. The International Journal of High Performance Computing Applications. 2022. 36. 2. 182-197
Yuta Hirokawa, Taisuke Boku, Shunsuke A. Sato, Kazuhiro Yabana. Performance evaluation of large scale electron dynamics simulation under many-core cluster based on knights landing. ACM International Conference Proceeding Series. 2018. 183-191
Uemoto,Mitsuharu, Sato,Shunsuke A, Hirokawa,Yuta, Boku,Taisuke, Yabana,Kazuhiro. TDDFT+Maxwell multiscale method for light propagation calculation in semiconducting media III. Meeting Abstracts of the Physical Society of Japan. 2018. 73. 1483-1483
Mitsuharu Uemoto, Kazuhiro Yabana, Shunsuke A. Sato, Yuta Hirokawa, Taisuke Boku. A first-principles simulation method for ultrafast nano-optics. EPJ Web of Conferences. 2019. 205. 04023
Uemoto Mitsuharu, Sato Shunsuke A, Hirokawa Yuta, Boku Taisuke, Yabana Kazuhiro. TDDFT+Maxwell multiscale method for light propagation calculation in semiconducting media II. Meeting Abstracts of the Physical Society of Japan. 2017. 72. 0. 1127-1127
Lectures and oral presentations (8)：
Performance evaluation of scalable optoelectronics application on large-scale Knights Landing cluster
(The 5th Accelerated Data Analytics and Computing Institute (ADAC) Workshop 2018)
Performance optimization of electron dynamics simulation for large-scale many-core systems
(International Workshop on Massively Parallel Programming for Quantum Chemistry and Physics 2017 2017)
Electron Dynamics Simulation with Time-Dependent Density Functional Theory on Large Scale Many-Core Systems
(Supercomputing Conference (SC) 16, ACM Student Research Competition Poster 2016)
第一原理電子動力学コードの最適化と性能評価: GPU と Xeon Phi
(GTC Japan 2016 2016)
