Research field (4):
Applied mathematics and statistics
, Applied mathematics and statistics
, High-performance computing
, Applied mathematics and statistics
Research theme for competitive and other funds (6):
2017 - 2021 Development of a new method for computing singular pairs suitable for massively parallel computing environments
2017 - 2020 Integrable Algorithms: Basis of Higher Accurate Computations with Positivity
2014 - 2017 Research on data-parallel integer processing with high-precision and high-performance
2012 - 2016 Development of high speed singular value decomposition algorithm for sparse matrices of large scale and upload of its source code
2008 - 2011 Development of Innovative Library for Singular Value Decomposition Suited to Multi-Core Processors
2006 - 2007 Studies on statistical sequential estimation problems by the method of sequential analysis
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Papers (24):
Miho Chiyonobu, Takahiro Miyamae, Masami Takata, Jun Harayama, Kinji Kimura, Yoshimasa Nakamura. Singular value decomposition for complex matrices using two-sided Jacobi method. The Journal of Supercomputing. 2024
Miho Chiyonobu, Itsuki Kuboi, Rika Tanaka, Shinya Ozawa, Yohsuke Hosoda, Masami Takata, Kinji Kimura, Yoshimasa Nakamura. Iterative Censoring and Highly Efficient Machine Learning with Condition Number in LSMR Method. 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE). 2023
Miho Chiyonobu, Masami Takata, Jun Harayama, Kinji Kimura, Yoshimasa Nakamura. Proposed Preprocessing for High-Performance Complex Singular Value Decomposition. 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE). 2023
Masami Takata, Takuto Akiyama, Sho Araki, Hiroyuki Ishigami, Kinji Kimura, Yoshimasa Nakamura. Accelerating the Numerical Computation of Positive Roots of Polynomials Using Suitable Combination of Lower Bounds. IPSJ Transactions on Mathematical Modeling and Its Applications. 2022. 15. 1. 18-30
Hiroki Tanaka, Taiki Kimura, Tetsuaki Matsunawa, Shoji Mimotogi, Masami Takata, Kinji Kimura, Yoshimasa Nakamura. Application of the Orthogonal QD Algorithm with Shift to Singular Value Decomposition for Large Sparse Matrices. Advances in Parallel & Distributed Processing, and Applications. 2021. 697-712
Hiroyuki Ishigami, Hidehiko Hasegawa, Kinji Kimura, Yoshimasa Nakamura. A parallel bisection and inverse iteration solver for a subset of eigenpairs of symmetric band matrices. Lecture Notes in Computational Science and Engineering. 2017. 117. 31-50
Masami Takata, Hiroyuki Ishigami, Kinji Kimura, Yuki Fujii, Hiroki Tanaka, Yoshimasa Nakamura. Performance Evaluation of Golub-Kahan-Lanczos Algorithm with Reorthogonalization by Classical Gram-Schmidt Algorithm and OpenMP. 2016. 9. 2. 1-8
Reorthogonalized Block Inverse Iteration Algorithm for Parallel Computation of Eigenvectors. 2013. 2014. 65-75
RANGE RESTRICTED GMRES法の新しい実装法と性能評価に関する研究
(第21回計算数学研究会 2023)
From a discrete Nahm equation to the discrete periodic Toda lattice equation ,in terms of the generalized eigenvalue problem for quaternions
(研究集会「非線形波動から可積分系へ 2023」 2023)