Takeshi Fukaya

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 26

Top Topics

Conjugate Gradient

Iterative Refinement

Top Venues

J. Inf. Process.

Publications

Takeshi Fukaya, Yuji Nakatsukasa, Yusaku Yamamoto
A Cholesky QR type algorithm for computing tall-skinny QR factorization with column pivoting. IPDPS (2024)
Yingqi Zhao, Takeshi Fukaya, Takeshi Iwashita
Numerical Behavior of Mixed Precision Iterative Refinement Using the BiCGSTAB Method. J. Inf. Process. 31 (2023)
Takeshi Iwashita, Kota Ikehara, Takeshi Fukaya, Takeshi Mifune
Convergence acceleration of preconditioned conjugate gradient solver based on error vector sampling for a sequence of linear systems. Numer. Linear Algebra Appl. 30 (6) (2023)
Kengo Suzuki, Takeshi Fukaya, Takeshi Iwashita
A novel ILU preconditioning method with a block structure suitable for SIMD vectorization. J. Comput. Appl. Math. 419 (2023)
Hirotoshi Tamori, Takeshi Fukaya, Takeshi Iwashita
Subspace Correction Preconditioning for Solving a Sequence of Asymmetric Linear Systems Using the Bi-CGSTAB Method. J. Inf. Process. 31 (2023)
Takeshi Iwashita, Kota Ikehara, Takeshi Fukaya, Takeshi Mifune
Convergence Acceleration of Preconditioned CG Solver Based on Error Vector Sampling for a Sequence of Linear Systems. CoRR (2022)
Takeshi Fukaya
Distributed Parallel Tall-Skinny QR Factorization: Performance Evaluation of Various Algorithms on Various Systems. PDCAT (2022)
Yingqi Zhao, Takeshi Fukaya, Linjie Zhang, Takeshi Iwashita
) Method Using FP64 and FP32. J. Inf. Process. 30 (2022)
Kengo Suzuki, Takeshi Fukaya, Takeshi Iwashita
A New AINV Preconditioner for the CG Method in Hybrid CPU-GPU Computing Environment. J. Inf. Process. 30 (2022)
Hisashi Kohashi, Harumichi Iwamoto, Takeshi Fukaya, Yusaku Yamamoto, Takeo Hoshi
Performance prediction of massively parallel computation by Bayesian inference. JSIAM Lett. 14 (2022)
Hisashi Kohashi, Harumichi Iwamoto, Takeshi Fukaya, Yusaku Yamamoto, Takeo Hoshi
Performance prediction of massively parallel computation by Bayesian inference. CoRR (2021)
Takeshi Fukaya, Koki Ishida, Akie Miura, Takeshi Iwashita, Hiroshi Nakashima
Accelerating the SpMV kernel on standard CPUs by exploiting the partially diagonal structures. CoRR (2021)
Takeshi Iwashita, Kengo Suzuki, Takeshi Fukaya
An Integer Arithmetic-Based Sparse Linear Solver Using a GMRES Method and Iterative Refinement. CoRR (2020)
Takeshi Iwashita, Senxi Li, Takeshi Fukaya
Hierarchical block multi-color ordering: a new parallel ordering method for vectorization and parallelization of the sparse triangular solver in the ICCG method. CCF Trans. High Perform. Comput. 2 (2) (2020)
Takeshi Iwashita, Kengo Suzuki, Takeshi Fukaya
An Integer Arithmetic-Based Sparse Linear Solver Using a GMRES Method and Iterative Refinement. ScalA@SC (2020)
Rise Ooi, Takeshi Iwashita, Takeshi Fukaya, Akihiro Ida, Rio Yokota
Effect of Mixed Precision Computing on H-Matrix Vector Multiplication in BEM Analysis. HPC Asia (2020)
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, Takeo Hoshi, Yuki Murakami, Maho Nakata, Takeshi Ogita, Kentaro Sano, Taisuke Boku
White Paper from Workshop on Large-scale Parallel Numerical Computing Technology (LSPANC 2020): HPC and Computer Arithmetic toward Minimal-Precision Computing. CoRR (2020)
Takeshi Fukaya, Ramaseshan Kannan, Yuji Nakatsukasa, Yusaku Yamamoto, Yuka Yanagisawa
Shifted Cholesky QR for Computing the QR Factorization of Ill-Conditioned Matrices. SIAM J. Sci. Comput. 42 (1) (2020)
Takeshi Iwashita, Senxi Li, Takeshi Fukaya
Hierarchical Block Multi-Color Ordering: A New Parallel Ordering Method for Vectorization and Parallelization of the Sparse Triangular Solver in the ICCG Method. CoRR (2019)
Senxi Li, Takeshi Iwashita, Takeshi Fukaya
Enhancement of Algebraic Block Multi-Color Ordering for ILU Preconditioning and Its Performance Evaluation in Preconditioned GMRES Solver. J. Inf. Process. 27 (2019)
Rise Ooi, Takeshi Iwashita, Takeshi Fukaya, Akihiro Ida, Rio Yokota
Effect of Mixed Precision Computing on H-Matrix Vector Multiplication in BEM Analysis. CoRR (2019)
Takeshi Fukaya
An investigation into the impact of the structured QR kernel on the overall performance of the TSQR algorithm. HPC Asia (2019)
Takeshi Fukaya, Toshiyuki Imamura, Yusaku Yamamoto
A Case Study on Modeling the Performance of Dense Matrix Computation: Tridiagonalization in the EigenExa Eigensolver on the K Computer. IPDPS Workshops (2018)
Takeshi Fukaya, Takeshi Iwashita
Time-space tiling with tile-level parallelism for the 3D FDTD method. HPC Asia (2018)
Seiji Nagashima, Takeshi Fukaya, Yusaku Yamamoto
On Constructing Cost Models for Online Automatic Tuning Using ATMathCoreLib: Case Studies through the SVD Computation on a Multicore Processor. MCSoC (2016)
Yusaku Yamamoto, Yuji Nakatsukasa, Yuka Yanagisawa, Takeshi Fukaya
Roundoff error analysis of the CholeskyQR2 algorithm in an oblique inner product. JSIAM Lett. 8 (2016)
Yosuke Kumagai, Akihiro Fujii, Teruo Tanaka, Yusuke Hirota, Takeshi Fukaya, Toshiyuki Imamura, Reiji Suda
Performance Analysis of the Chebyshev Basis Conjugate Gradient Method on the K Computer. PPAM (1) (2015)
Takeshi Fukaya, Toshiyuki Imamura
Performance Evaluation of the Eigen Exa Eigensolver on Oakleaf-FX: Tridiagonalization Versus Pentadiagonalization. IPDPS Workshops (2015)
Toshiyuki Imamura, Takeshi Fukaya, Yusuke Hirota, Susumu Yamada, Masahiko Machida
CAHTR: Communication-Avoiding Householder TRidiagonalization. PARCO (2015)
Takeshi Fukaya, Yuji Nakatsukasa, Yuka Yanagisawa, Yusaku Yamamoto
CholeskyQR2: a simple and communication-avoiding algorithm for computing a tall-skinny QR factorization on a large-scale parallel system. ScalA@SC (2014)
Takeshi Fukaya, Toshiyuki Imamura, Yusaku Yamamoto
Performance Analysis of the Householder-Type Parallel Tall-Skinny QR Factorizations Toward Automatic Algorithm Selection. VECPAR (2014)
Jun-ichi Muramatsu, Takeshi Fukaya, Shao-Liang Zhang, Kinji Kimura, Yusaku Yamamoto
Acceleration of Hessenberg Reduction for Nonsymmetric Eigenvalue Problems in a Hybrid CPU-GPU Computing Environment. Int. J. Netw. Comput. 1 (2) (2011)
Yusaku Yamamoto, Takeshi Fukaya
Differential qd algorithm for totally nonnegative Hessenberg matrices: introduction of origin shifts and relationship with the discrete hungry Lotka-Volterra system. JSIAM Lett. 2 (2010)
Yusaku Yamamoto, Takeshi Fukaya
Differential qd algorithm for totally nonnegative band matrices: convergence properties and error analysis. JSIAM Lett. 1 (2009)
Takeshi Fukaya, Yusaku Yamamoto, Shao-Liang Zhang
A dynamic programming approach to optimizing the blocking strategy for the Householder QR decomposition. CLUSTER (2008)
Yusaku Yamamoto, Takeshi Fukaya, Takashi Uneyama, Masami Takata, Kinji Kimura, Masashi Iwasaki, Yoshimasa Nakamura
Accelerating the Singular Value Decomposition of Rectangular Matrices with the CSX600 and the Integrable SVD. PaCT (2007)