Parallel Smoother Based on Block Red-Black Ordering for Multigrid Poisson Solver. - Masatoshi Kawai; Takeshi Iwashita; Hiroshi Nakashima; Osni Marques (VECPAR, 2012)

SIMD Implementation of a Multiplicative Schwarz Smoother for a Multigrid Poisson Solver on an Intel Xeon Phi Coprocessor. - Masatoshi Kawai; Takeshi Iwashita; Hiroshi Nakashima (VECPAR, 2014)

Hierarchical Parallelization of Multi-coloring Algorithms for Block IC Preconditioners. - Masatoshi Kawai; Akihiro Ida; Kengo Nakajima (HPCC/SmartCity/DSS, 2017)

Parallel Hierarchical Matrices with Block Low-rank Representation on Distributed Memory Computer Systems. - Akihiro Ida; Hiroshi Nakashima; Masatoshi Kawai (HPC Asia, 2018)

Pyne: A programming framework for parallel simulation development. - Hiroya Matsuba; Motohiko Matsuda; Masatoshi Kawai (ICPP Workshops, 2019)

Multiplicative Schwartz-Type Block Multi-Color Gauss-Seidel Smoother for Algebraic Multigrid Methods. - Masatoshi Kawai; Akihiro Ida; Hiroya Matsuba; Kengo Nakajima; Matthias Bolten (HPC Asia, 2020)

ESSEX: Equipping Sparse Solvers For Exascale. - Christie L. Alappat; Andreas Alvermann; Achim Basermann; Holger Fehske; Yasunori Futamura; Martin Galgon; Georg Hager; Sarah Huber; Akira Imakura; Masatoshi Kawai; Moritz Kreutzer; Bruno Lang; et al. (Software for Exascale Computing, 2020)

Efficient Parallel Multigrid Methods on Manycore Clusters with Double/Single Precision Computing. - Kengo Nakajima; Takeshi Ogita; Masatoshi Kawai (IPDPS Workshops, 2021)

Low/Adaptive Precision Computation in Preconditioned Iterative Solvers for Ill-Conditioned Problems. - Masatoshi Kawai; Kengo Nakajima (HPC Asia, 2022)

Dynamic Core Binding for Load Balancing of Applications Parallelized with MPI/OpenMP. - Masatoshi Kawai; Akihiro Ida; Toshihiro Hanawa; Kengo Nakajima (ICCS (3), 2023)

Sparse Matrix-Vector Multiplication with Reduced-Precision Memory Accessor. - Daichi Mukunoki; Masatoshi Kawai; Toshiyuki Imamura (MCSoC, 2023)

Implementing Fast Modal Filtering of SCALE-DG. - Xuanzhengbo Ren; Yuta Kawai; Hirofumi Tomita; Seiya Nishizawa; Takahiro Katagiri; Masatoshi Kawai; Tetsuya Hoshino; Toru Nagai (CLUSTER Workshops, 2024)

Optimize Efficiency of Utilizing Systems by Dynamic Core Binding. - Masatoshi Kawai; Akihiro Ida; Toshihiro Hanawa; Tetsuya Hoshino (HPC Asia Workshops, 2024)

Adaptation of XAI to Auto-tuning for Numerical Libraries. - Shota Aoki; Takahiro Katagiri; Satoshi Ohshima; Masatoshi Kawai; Toru Nagai; Tetsuya Hoshino (MCSoC, 2024)

Performance Evaluation of CMOS Annealing with Support Vector Machine. - Ryoga Fukuhara; Makoto Morishita; Takahiro Katagiri; Masatoshi Kawai; Toru Nagai; Tetsuya Hoshino (MCSoC, 2024)

Performance Evaluation of Loop Body Splitting for Fast Modal Filtering in SCALE-DG on A64FX. - Xuanzhengbo Ren; Yuta Kawai; Hirofumi Tomita; Seiya Nishizawa; Takahiro Katagiri; Tetsuya Hoshino; Daichi Mukunoki; Masatoshi Kawai; Toru Nagai (HPC Asia Workshops, 2025)

Auto-Tuning Mixed-Precision Computation by Specifying Multiple Regions. - Xuanzhengbo Ren; Masatoshi Kawai; Tetsuya Hoshino; Takahiro Katagiri; Toru Nagai (Concurr. Comput. Pract. Exp., 2025)

B-spline-based material point method with dynamic load balancing technique for large-scale simulation. - Soma Hidano; Shaoyuan Pan; Keina Yoshida; Reika Nomura; Yohei Miki 001; Masatoshi Kawai; Shuji Moriguchi; Kengo Nakajima; Kenjiro Terada (Eng. Comput., 2025)