A Framework for Effective IT Investment - From the Perspective of Business - IT Alignment and Organization. - Kayo Iizuka; Shuhei Kudo; Michiko Miyamoto (ICEIS (3), 2011)

Strategic Alignment Model Revisited - Considerations of Business-IT Alignment Formative Factors. - Shuhei Kudo; Kayo Iizuka; Michiko Miyamoto (ICEIS (3), 2012)

Five domains of information technology governance in Japanese SMEs; An empirical study. - Michiko Miyamoto; Shuhei Kudo (ICTC, 2013)

Convergence analysis of the parallel classical block Jacobi method for the symmetric eigenvalue problem. - Yusaku Yamamoto; Lan Zhang; Shuhei Kudo (JSIAM Lett., 2014)

Performance of the Parallel One-Sided Block Jacobi SVD Algorithm on a Modern Distributed-Memory Parallel Computer. - Shuhei Kudo; Yusaku Yamamoto; Martin Becka; Marián Vajtersic (PPAM (1), 2015)

Multiscale Universal Interface: A concurrent framework for coupling heterogeneous solvers. - Yu-Hang Tang; Shuhei Kudo; Xin Bian; Zhen Li 003; George E. Karniadakis (J. Comput. Phys., 2015)

On Using the Cholesky QR Method in the Full-Blocked One-Sided Jacobi Algorithm. - Shuhei Kudo; Yusaku Yamamoto (PPAM (1), 2017)

Performance analysis and optimization of the parallel one-sided block Jacobi SVD algorithm with dynamic ordering and variable blocking. - Shuhei Kudo; Yusaku Yamamoto; Martin Becka; Marián Vajtersic (Concurr. Comput. Pract. Exp., 2017)

Probabilistic analysis of an estimator for the Frobenius norm of a matrix product. - Yusaku Yamamoto; Shuhei Kudo (JSIAM Lett., 2017)

Performance of the parallel block Jacobi method with dynamic ordering for the symmetric eigenvalue problem. - Shuhei Kudo; Kousuke Yasuda; Yusaku Yamamoto (JSIAM Lett., 2018)

Cache-efficient implementation and batching of tridiagonalization on manycore CPUs. - Shuhei Kudo; Toshiyuki Imamura (HPC Asia, 2019)

Prompt Report on Exa-Scale HPL-AI Benchmark. - Shuhei Kudo; Keigo Nitadori; Takuya Ina; Toshiyuki Imamura (CLUSTER, 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)

Implementation and Numerical Techniques for One EFlop/s HPL-AI Benchmark on Fugaku. - Shuhei Kudo; Keigo Nitadori; Takuya Ina; Toshiyuki Imamura (ScalA@SC, 2020)

Error Analysis of the Cholesky QR-Based Block Orthogonalization Process for the One-Sided Block Jacobi SVD Algorithm. - Shuhei Kudo; Yusaku Yamamoto; Toshiyuki Imamura (Comput. Informatics, 2020)

A Parallelizable Energy-Preserving Integrator MB4 and Its Application to Quantum-Mechanical Wavepacket Dynamics. - Tsubasa Sakai; Shuhei Kudo; Hiroto Imachi; Yuto Miyatake; Takeo Hoshi; Yusaku Yamamoto (CoRR, 2020)

White Paper from Workshop on Large-scale Parallel Numerical Computing Technology (LSPANC 2020): HPC and Computer Arithmetic toward Minimal-Precision Computing. - Roman Iakymchuk; Daichi Mukunoki; Artur Podobas; Fabienne Jézéquel; Toshiyuki Imamura; Norihisa Fujita; Jens Huthmann; Shuhei Kudo; Yiyu Tan; Jens Domke; Kai Torben Ohlhus; Takeshi Fukaya; et al. (CoRR, 2020)

A Rapid Euclidean Norm Calculation Algorithm that Reduces Overflow and Underflow. - Takeyuki Harayama; Shuhei Kudo; Daichi Mukunoki; Toshiyuki Imamura; Daisuke Takahashi (ICCSA (1), 2021)

MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. - Steven Farrell; Murali Emani; Jacob Balma; Lukas Drescher; Aleksandr Drozd; Andreas Fink; Geoffrey C. Fox; David Kanter; Thorsten Kurth; Peter Mattson; Dawei Mu; Amit Ruhela; et al. (MLHPC@SC, 2021)

MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. - Steven Farrell; Murali Emani; Jacob Balma; Lukas Drescher; Aleksandr Drozd; Andreas Fink; Geoffrey C. Fox; David Kanter; Thorsten Kurth; Peter Mattson; Dawei Mu; Amit Ruhela; et al. (CoRR, 2021)

Combinatorial preconditioning for accelerating the convergence of the parallel block Jacobi method for the symmetric eigenvalue problem. - Masaki Kugaya; Shuhei Kudo; Yusaku Yamamoto (JSIAM Lett., 2021)

Automatic Code Selection for the Dense Symmetric Generalized Eigenvalue Problem Using ATMathCoreLib. - Masato Kobayashi; Shuhei Kudo; Takeo Hoshi; Yusaku Yamamoto (PPAM (1), 2022)

Error analysis of the truncated Taylor series expansion method for computing matrix exponential. - Yusaku Yamamoto; Shuhei Kudo; Takeo Hoshi (JSIAM Lett., 2022)

A fast and accurate computation method for reflective diffraction simulations. - Shuhei Kudo; Yusaku Yamamoto; Takeo Hoshi (CoRR, 2023)

Approximate Block Diagonalization of Symmetric Matrices Using Quantum Annealing. - Koushi Teramoto; Masaki Kugaya; Shuhei Kudo; Yasuhiko Takenaga; Yusaku Yamamoto (HPC Asia, 2024)

Comparison of Two QUBO Formulations of Approximate Block Diagonalization and Their Performance on the D-Wave Advantage Quantum Annealing Machine. - Koushi Teramoto; Shuhei Kudo; Yusaku Yamamoto (PPAM (3), 2024)

Automatic performance tuning using the ATMathCoreLib tool: Two experimental studies related to dense symmetric eigensolvers. - Masato Kobayashi; Yusuke Hirota; Shuhei Kudo; Takeo Hoshi; Yusaku Yamamoto (Concurr. Comput. Pract. Exp., 2024)

A fast and efficient computation method for reflective diffraction simulations. - Shuhei Kudo; Yusaku Yamamoto; Takeo Hoshi (Comput. Phys. Commun., 2024)

Roundoff error analysis of the double-exponential formula-based method for the matrix sign function. - Tomoya Miyashita; Shuhei Kudo; Yusaku Yamamoto (JSIAM Lett., 2024)

Performance of the shifted minimal residual method for multiply shifted linear systems with real symmetric or complex Hermitian coefficient matrices. - Shuntaro Hidaka; Shuhei Kudo; Takeo Hoshi; Yusaku Yamamoto (Comput. Phys. Commun., 2025)

A fast computation method for the matrix inverse square root using the sum of resolvents and batch execution. - Shuhei Kudo (JSIAM Lett., 2025)