Takeshi Fukaya

41 papers A 1B 1C 5Journal 24Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Study on the Performance and Usability of Managed Memory and Unified Memory for Accelerating Numerical Calculation Program. MCSoC Satoshi Ohshima, Akihiro Ida, Masatoshi Kawai, Takeshi Fukaya, Rio Yokota
2025	J	`jnl`	An Integer Arithmetic-Based AMG Preconditioned FGMRES Solver. ACM Trans. Math. Softw. Kengo Suzuki, Takeshi Fukaya, Takeshi Iwashita
2025	J	`jnl`	Condition Number Estimation in a Solution Process of a Large Sparse Symmetric Linear System. J. Inf. Process. Yuya Kudo, Yuki Satake, Takeshi Fukaya, Takeshi Iwashita
2025	J	`jnl`	Performance Evaluation of the Parallel ES-SC-ILU-BiCGSTAB Method. J. Inf. Process. Hirotoshi Tamori, Takeshi Fukaya, Takeshi Iwashita
2024	A	`conf`	A Cholesky QR type algorithm for computing tall-skinny QR factorization with column pivoting. IPDPS Takeshi Fukaya, Yuji Nakatsukasa, Yusaku Yamamoto
2023	J	`jnl`	A novel ILU preconditioning method with a block structure suitable for SIMD vectorization. J. Comput. Appl. Math. Kengo Suzuki, Takeshi Fukaya, Takeshi Iwashita
2023	J	`jnl`	Convergence acceleration of preconditioned conjugate gradient solver based on error vector sampling for a sequence of linear systems. Numer. Linear Algebra Appl. Takeshi Iwashita, Kota Ikehara, Takeshi Fukaya, Takeshi Mifune
2023	J	`jnl`	Numerical Behavior of Mixed Precision Iterative Refinement Using the BiCGSTAB Method. J. Inf. Process. Yingqi Zhao, Takeshi Fukaya, Takeshi Iwashita
2023	J	`jnl`	Subspace Correction Preconditioning for Solving a Sequence of Asymmetric Linear Systems Using the Bi-CGSTAB Method. J. Inf. Process. Hirotoshi Tamori, Takeshi Fukaya, Takeshi Iwashita
2022	J	`jnl`	A New AINV Preconditioner for the CG Method in Hybrid CPU-GPU Computing Environment. J. Inf. Process. Kengo Suzuki, Takeshi Fukaya, Takeshi Iwashita
2022	J	`jnl`	Convergence Acceleration of Preconditioned CG Solver Based on Error Vector Sampling for a Sequence of Linear Systems. CoRR Takeshi Iwashita, Kota Ikehara, Takeshi Fukaya, Takeshi Mifune
2022	C	`conf`	Distributed Parallel Tall-Skinny QR Factorization: Performance Evaluation of Various Algorithms on Various Systems. PDCAT Takeshi Fukaya
2022	J	`jnl`	Numerical Investigation into the Mixed Precision GMRES( J. Inf. Process. Yingqi Zhao, Takeshi Fukaya, Linjie Zhang, Takeshi Iwashita
2022	J	`jnl`	Performance prediction of massively parallel computation by Bayesian inference. JSIAM Lett. Hisashi Kohashi, Harumichi Iwamoto, Takeshi Fukaya, Yusaku Yamamoto, Takeo Hoshi
2021	J	`jnl`	Accelerating the SpMV kernel on standard CPUs by exploiting the partially diagonal structures. CoRR Takeshi Fukaya, Koki Ishida, Akie Miura, Takeshi Iwashita, Hiroshi Nakashima
2021	J	`jnl`	Performance prediction of massively parallel computation by Bayesian inference. CoRR Hisashi Kohashi, Harumichi Iwamoto, Takeshi Fukaya, Yusaku Yamamoto, Takeo Hoshi
2020	—	`conf`	An Integer Arithmetic-Based Sparse Linear Solver Using a GMRES Method and Iterative Refinement. ScalA@SC Takeshi Iwashita, Kengo Suzuki, Takeshi Fukaya
2020	J	`jnl`	An Integer Arithmetic-Based Sparse Linear Solver Using a GMRES Method and Iterative Refinement. CoRR Takeshi Iwashita, Kengo Suzuki, Takeshi Fukaya
2020	C	`conf`	Effect of Mixed Precision Computing on H-Matrix Vector Multiplication in BEM Analysis. HPC Asia Rise Ooi, Takeshi Iwashita, Takeshi Fukaya, Akihiro Ida, Rio Yokota
2020	J	`jnl`	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. Takeshi Iwashita, Senxi Li, Takeshi Fukaya
2020	J	`jnl`	Shifted Cholesky QR for Computing the QR Factorization of Ill-Conditioned Matrices. SIAM J. Sci. Comput. Takeshi Fukaya, Ramaseshan Kannan, Yuji Nakatsukasa, Yusaku Yamamoto, Yuka Yanagisawa
2020	J	`jnl`	White Paper from Workshop on Large-scale Parallel Numerical Computing Technology (LSPANC 2020): HPC and Computer Arithmetic toward Minimal-Precision Computing. CoRR 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
2019	C	`conf`	An investigation into the impact of the structured QR kernel on the overall performance of the TSQR algorithm. HPC Asia Takeshi Fukaya
2019	J	`jnl`	Effect of Mixed Precision Computing on H-Matrix Vector Multiplication in BEM Analysis. CoRR Rise Ooi, Takeshi Iwashita, Takeshi Fukaya, Akihiro Ida, Rio Yokota
2019	J	`jnl`	Enhancement of Algebraic Block Multi-Color Ordering for ILU Preconditioning and Its Performance Evaluation in Preconditioned GMRES Solver. J. Inf. Process. Senxi Li, Takeshi Iwashita, Takeshi Fukaya
2019	J	`jnl`	Hierarchical Block Multi-Color Ordering: A New Parallel Ordering Method for Vectorization and Parallelization of the Sparse Triangular Solver in the ICCG Method. CoRR Takeshi Iwashita, Senxi Li, Takeshi Fukaya
2018	—	`conf`	A Case Study on Modeling the Performance of Dense Matrix Computation: Tridiagonalization in the EigenExa Eigensolver on the K Computer. IPDPS Workshops Takeshi Fukaya, Toshiyuki Imamura, Yusaku Yamamoto
2018	C	`conf`	Time-space tiling with tile-level parallelism for the 3D FDTD method. HPC Asia Takeshi Fukaya, Takeshi Iwashita
2016	—	`conf`	On Constructing Cost Models for Online Automatic Tuning Using ATMathCoreLib: Case Studies through the SVD Computation on a Multicore Processor. MCSoC Seiji Nagashima, Takeshi Fukaya, Yusaku Yamamoto
2016	J	`jnl`	Roundoff error analysis of the CholeskyQR2 algorithm in an oblique inner product. JSIAM Lett. Yusaku Yamamoto, Yuji Nakatsukasa, Yuka Yanagisawa, Takeshi Fukaya
2015	—	`conf`	CAHTR: Communication-Avoiding Householder TRidiagonalization. PARCO Toshiyuki Imamura, Takeshi Fukaya, Yusuke Hirota, Susumu Yamada, Masahiko Machida
2015	—	`conf`	Performance Analysis of the Chebyshev Basis Conjugate Gradient Method on the K Computer. PPAM (1) Yosuke Kumagai, Akihiro Fujii, Teruo Tanaka, Yusuke Hirota, Takeshi Fukaya, Toshiyuki Imamura, Reiji Suda
2015	—	`conf`	Performance Evaluation of the Eigen Exa Eigensolver on Oakleaf-FX: Tridiagonalization Versus Pentadiagonalization. IPDPS Workshops Takeshi Fukaya, Toshiyuki Imamura
2014	—	`conf`	CholeskyQR2: a simple and communication-avoiding algorithm for computing a tall-skinny QR factorization on a large-scale parallel system. ScalA@SC Takeshi Fukaya, Yuji Nakatsukasa, Yuka Yanagisawa, Yusaku Yamamoto
2014	—	`conf`	Performance Analysis of the Householder-Type Parallel Tall-Skinny QR Factorizations Toward Automatic Algorithm Selection. VECPAR Takeshi Fukaya, Toshiyuki Imamura, Yusaku Yamamoto
2011	J	`jnl`	Acceleration of Hessenberg Reduction for Nonsymmetric Eigenvalue Problems in a Hybrid CPU-GPU Computing Environment. Int. J. Netw. Comput. Jun-ichi Muramatsu, Takeshi Fukaya, Shao-Liang Zhang, Kinji Kimura, Yusaku Yamamoto
2010	J	`jnl`	Differential qd algorithm for totally nonnegative Hessenberg matrices: introduction of origin shifts and relationship with the discrete hungry Lotka-Volterra system. JSIAM Lett. Yusaku Yamamoto, Takeshi Fukaya
2010	—	`ch.`	Dynamic Programming Approaches to Optimizing the Blocking Strategy for Basic Matrix Decompositions. Software Automatic Tuning, From Concepts to State-of-the-Art Results Yusaku Yamamoto, Takeshi Fukaya
2009	J	`jnl`	Differential qd algorithm for totally nonnegative band matrices: convergence properties and error analysis. JSIAM Lett. Yusaku Yamamoto, Takeshi Fukaya
2008	C	`conf`	A dynamic programming approach to optimizing the blocking strategy for the Householder QR decomposition. CLUSTER Takeshi Fukaya, Yusaku Yamamoto, Shao-Liang Zhang
2007	B	`conf`	Accelerating the Singular Value Decomposition of Rectangular Matrices with the CSX600 and the Integrable SVD. PaCT Yusaku Yamamoto, Takeshi Fukaya, Takashi Uneyama, Masami Takata, Kinji Kimura, Masashi Iwasaki, Yoshimasa Nakamura