Parallel-algorithm extension for tsunami and earthquake-cycle simulators for massively parallel execution on the K computer. - Kazuto Ando; Mamoru Hyodo; Toshitaka Baba; Takane Hori; Toshihiro Kato; Masaru Watanabe; Shin'ichi Ichikawa; Hisakuni Kitahara; Hitoshi Uehara; Hikaru Inoue (Int. J. High Perform. Comput. Appl., 2016)

Large-scale, high-speed tsunami prediction for the Great Nankai Trough Earthquake on the K computer. - Toshitaka Baba; Kazuto Ando; Daisuke Matsuoka; Mamoru Hyodo; Takane Hori; Narumi Takahashi; Ryoko Obayashi; Yoshiyuki Imato; Dai Kitamura; Hitoshi Uehara; Toshihiro Kato; Ryotaro Saka (Int. J. High Perform. Comput. Appl., 2016)

A 1.8 trillion degrees-of-freedom, 1.24 petaflops global seismic wave simulation on the K computer. - Seiji Tsuboi; Kazuto Ando; Takayuki Miyoshi; Daniel Peter 001; Dimitri Komatitsch; Jeroen Tromp (Int. J. High Perform. Comput. Appl., 2016)

Nonlinear Mode Decomposition and Reduced-Order Modeling for Three-Dimensional Cylinder Flow by Distributed Learning on Fugaku. - Kazuto Ando; Keiji Onishi; Rahul Bale; Makoto Tsubokura; Akiyoshi Kuroda; Kazuo Minami (ISC Workshops, 2021)

Digital transformation of droplet/aerosol infection risk assessment realized on "Fugaku" for the fight against COVID-19. - Kazuto Ando; Rahul Bale; Chung-Gang Li; Satoshi Matsuoka; Keiji Onishi; Makoto Tsubokura (Int. J. High Perform. Comput. Appl., 2022)

Robustness evaluation of large-scale machine learning-based reduced order models for reproducing flow fields. - Aito Higashida; Kazuto Ando; Mario Rüttgers; Andreas Lintermann; Makoto Tsubokura (Future Gener. Comput. Syst., 2024)