Performance of ICCG Solver in Vector & Parallel Machine Architecture. - Kazuo Minami; Hisashi Nakamura; Kazuo Sato; Shigeru Ishizuki (Parallel CFD, 1997)

Optimization of GeoFEM for high performance sequential computer architectures. - Kazuo Minami; Hiroshi Okuda (Concurr. Comput. Pract. Exp., 2002)

First-principles calculations of electron states of a silicon nanowire with 100, 000 atoms on the K computer. - Yukihiro Hasegawa; Jun-ichi Iwata; Miwako Tsuji; Daisuke Takahashi; Atsushi Oshiyama; Kazuo Minami; Taisuke Boku; Fumiyoshi Shoji; Atsuya Uno; Motoyoshi Kurokawa; Hikaru Inoue; Ikuo Miyoshi; et al. (SC, 2011)

K-scope: A Java-Based Fortran Source Code Analyzer with Graphical User Interface for Performance Improvement. - Masaaki Terai; Hitoshi Murai; Kazuo Minami; Mitsuo Yokokawa; Eiji Tomiyama (ICPP Workshops, 2012)

Poster: Planewave-Based First-Principles MD Calculation on 80, 000-node K-Computer. - Akiyoshi Kuroda; Kazuo Minami; Takahiro Yamasaki; Jun Nara; Junichiro Koga; Tsuyoshi Uda; Takahisa Ohno (SC Companion, 2012)

Kernel Performance Improvement for the FEM-Based Fluid Analysis Code on the K Computer. - Kiyoshi Kumahata; Shunsuke Inoue; Kazuo Minami (ICCS, 2013)

Extending K-Scope Fortran Source Code Analyzer with Visualization of Performance Profiling Data and Remote Parsing of Source Code. - Masaaki Terai; Peter Bryzgalov; Toshiyuki Maeda; Kazuo Minami (HPCC/CSS/ICESS, 2014)

Low Byte/Flop Implementation of Iterative Solver for Sparse Matrices Derived from Stencil Computations. - Kenji Ono; Shuichi Chiba; Shunsuke Inoue; Kazuo Minami (VECPAR, 2014)

Performance evaluation of ultra-large-scale first-principles electronic structure calculation code on the K computer. - Yukihiro Hasegawa; Jun-ichi Iwata; Miwako Tsuji; Daisuke Takahashi; Atsushi Oshiyama; Kazuo Minami; Taisuke Boku; Hikaru Inoue; Yoshito Kitazawa; Ikuo Miyoshi; Mitsuo Yokokawa (Int. J. High Perform. Comput. Appl., 2014)

Scalable rank-mapping algorithm for an icosahedral grid system on the massive parallel computer with a 3-D torus network. - Chihiro Kodama; Masaaki Terai; Akira T. Noda; Yohei Yamada; Masaki Satoh; Tatsuya Seiki; Shin-ichi Iga; Hisashi Yashiro; Hirofumi Tomita; Kazuo Minami (Parallel Comput., 2014)

Extracting Facts from Performance Tuning History of Scientific Applications for Predicting Effective Optimization Patterns. - Masatomo Hashimoto; Masaaki Terai; Toshiyuki Maeda; Kazuo Minami (MSR, 2015)

Implicit nonlinear wave simulation with 1.08T DOF and 0.270T unstructured finite elements to enhance comprehensive earthquake simulation. - Tsuyoshi Ichimura; Kohei Fujita; Pher Errol Balde Quinay; Lalith Maddegedara; Muneo Hori; Seizo Tanaka; Yoshihisa Shizawa; Hiroshi Kobayashi; Kazuo Minami (SC, 2015)

A Case Study of the Running Time Fluctuation of Application. - Kiyoshi Kumahata; Kazuo Minami (CANDAR, 2016)

Performance Analysis and Optimization of Nonhydrostatic ICosahedral Atmospheric Model (NICAM) on the K Computer and TSUBAME2.5. - Hisashi Yashiro; Masaaki Terai; Ryuji Yoshida; Shin-ichi Iga; Kazuo Minami; Hirofumi Tomita (PASC, 2016)

Extremely Scalable Algorithm for 108-atom Quantum Material Simulation on the Full System of the K Computer. - Takeo Hoshi; Hiroto Imachi; Kiyoshi Kumahata; Masaaki Terai; Kengo Miyamoto; Kazuo Minami; Fumiyoshi Shoji (ScalA@SC, 2016)

High-performance conjugate gradient performance improvement on the K computer. - Kiyoshi Kumahata; Kazuo Minami; Naoya Maruyama (Int. J. High Perform. Comput. Appl., 2016)

An Empirical Study of Computation-Intensive Loops for Identifying and Classifying Loop Kernels: Full Research Paper. - Masatomo Hashimoto; Masaaki Terai; Toshiyuki Maeda; Kazuo Minami (ICPE, 2017)

Performance improvement of the general-purpose CFD code FrontFlow/blue on the K computer. - Kiyoshi Kumahata; Kazuo Minami; Yoshinobu Yamade; Chisachi Kato (HPC Asia, 2018)

Preconditioner Auto-Tuning Using Deep Learning for Sparse Iterative Algorithms. - Kenya Yamada; Takahiro Katagiri; Hiroyuki Takizawa; Kazuo Minami; Mitsuo Yokokawa; Toru Nagai; Masao Ogino (CANDAR Workshops, 2018)

Multi-axis decomposition of density functional program for strong scaling up to 82, 944 nodes on the K computer: Compactly folded 3D-FFT communicators in the 6D torus network. - Takahiro Yamasaki; Akiyoshi Kuroda; Toshihiro Kato; Jun Nara; Junichiro Koga; Tsuyoshi Uda; Kazuo Minami; Takahisa Ohno (Comput. Phys. Commun., 2019)

Toward realization of numerical towing-tank tests by wall-resolved large eddy simulation based on 32 billion grid finite-element computation. - Chisachi Kato; Yoshinobu Yamade; Katsuhiro Nagano; Kiyoshi Kumahata; Kazuo Minami; Tatsuo Nishikawa (SC, 2020)

A 1024-member ensemble data assimilation with 3.5-km mesh global weather simulations. - Hisashi Yashiro; Koji Terasaki; Yuta Kawai; Shuhei Kudo; Takemasa Miyoshi; Toshiyuki Imamura; Kazuo Minami; Hikaru Inoue; Tatsuo Nishiki; Takayuki Saji; Masaki Satoh; Hirofumi Tomita (SC, 2020)

Fast scalable implicit solver with convergence of equation-based modeling and data-driven learning: earthquake city simulation on low-order unstructured finite element. - Tsuyoshi Ichimura; Kohei Fujita; Kentaro Koyama; Yuma Kikuchi; Ryota Kusakabe; Kazuo Minami; Hikaru Inoue; Seiya Nishizawa; Miwako Tsuji; Tatsuo Nishiki; Muneo Hori; Lalith Maddegedara; et al. (PASC, 2021)

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)

New parallel computing algorithm of molecular dynamics for extremely huge scale biological systems. - Jaewoon Jung; Chigusa Kobayashi; Kento Kasahara; Cheng Tan 004; Akiyoshi Kuroda; Kazuo Minami; Shigeru Ishiduki; Tatsuo Nishiki; Hikaru Inoue; Yutaka Ishikawa; Michael Feig; Yuji Sugita (J. Comput. Chem., 2021)

High-fidelity nonlinear low-order unstructured implicit finite-element seismic simulation of important structures by accelerated element-by-element method. - Kohei Fujita; Kentaro Koyama; Kazuo Minami; Hikaru Inoue; Seiya Nishizawa; Miwako Tsuji; Tatsuo Nishiki; Tsuyoshi Ichimura; Muneo Hori; Lalith Maddegedara (J. Comput. Sci., 2021)

152K-computer-node parallel scalable implicit solver for dynamic nonlinear earthquake simulation. - Tsuyoshi Ichimura; Kohei Fujita; Kentaro Koyama; Ryota Kusakabe; Yuma Kikuchi; Takane Hori; Muneo Hori; Lalith Maddegedara; Noriyuki Ohi; Tatsuo Nishiki; Hikaru Inoue; Kazuo Minami; et al. (HPC Asia, 2022)