Yusaku Yamamoto

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 29

Top Topics

Top Venues

SIAM J. Matrix Anal. Appl.

Publications

Masato Kobayashi, Yusuke Hirota, Shuhei Kudo, Takeo Hoshi, Yusaku Yamamoto
Automatic performance tuning using the ATMathCoreLib tool: Two experimental studies related to dense symmetric eigensolvers. Concurr. Comput. Pract. Exp. 36 (10) (2024)
Koushi Teramoto, Masaki Kugaya, Shuhei Kudo, Yasuhiko Takenaga, Yusaku Yamamoto
Approximate Block Diagonalization of Symmetric Matrices Using Quantum Annealing. HPC Asia (2024)
Shuhei Kudo, Yusaku Yamamoto, Takeo Hoshi
A fast and efficient computation method for reflective diffraction simulations. Comput. Phys. Commun. 296 (2024)
Takeshi Fukaya, Yuji Nakatsukasa, Yusaku Yamamoto
A Cholesky QR type algorithm for computing tall-skinny QR factorization with column pivoting. IPDPS (2024)
Tomoya Miyashita, Shuhei Kudo, Yusaku Yamamoto
Roundoff error analysis of the double exponential formula-based method for the matrix sign function. CoRR (2023)
Shuhei Kudo, Yusaku Yamamoto, Takeo Hoshi
A fast and accurate computation method for reflective diffraction simulations. CoRR (2023)
Yusaku Yamamoto, Shuhei Kudo, Takeo Hoshi
Error analysis of the truncated Taylor series expansion method for computing matrix exponential. JSIAM Lett. 14 (2022)
Masato Kobayashi, Shuhei Kudo, Takeo Hoshi, Yusaku Yamamoto
Automatic Code Selection for the Dense Symmetric Generalized Eigenvalue Problem Using ATMathCoreLib. PPAM (1) (2022)
Gabriel Oksa, Yusaku Yamamoto, Marián Vajtersic
Convergence to Singular Triplets in the Two-Sided Block-Jacobi SVD Algorithm with Dynamic Ordering. SIAM J. Matrix Anal. Appl. 43 (3) (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)
Masaki Kugaya, Shuhei Kudo, Yusaku Yamamoto
Combinatorial preconditioning for accelerating the convergence of the parallel block Jacobi method for the symmetric eigenvalue problem. JSIAM Lett. 13 (2021)
Akemi Shioya, Yusaku Yamamoto
Block red-black MILU(0) preconditioner with relaxation on GPU. Parallel Comput. 103 (2021)
Tsubasa Sakai, Shuhei Kudo, Hiroto Imachi, Yuto Miyatake, Takeo Hoshi, Yusaku Yamamoto
A Parallelizable Energy-Preserving Integrator MB4 and Its Application to Quantum-Mechanical Wavepacket Dynamics. CoRR (2020)
Kurumi Shiroma, Yusaku Yamamoto
Fixed-point analysis of Ogita-Aishima's symmetric eigendecomposition refinement algorithm for multiple eigenvalues. JSIAM Lett. 12 (2020)
Shuhei Kudo, Yusaku Yamamoto, Toshiyuki Imamura
Error Analysis of the Cholesky QR-Based Block Orthogonalization Process for the One-Sided Block Jacobi SVD Algorithm. Comput. Informatics 39 (6) (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)
Kurumi Shiroma, Yusaku Yamamoto
Fixed-point analysis of Ogita-Aishima's symmetric eigendecomposition refinement algorithm for multiple eigenvalues. CoRR (2019)
Hiroaki Seito, Takeo Hoshi, Yusaku Yamamoto
On using the shifted minimal residual method for quantum-mechanical wave packet simulation. JSIAM Lett. 11 (2019)
Gabriel Oksa, Yusaku Yamamoto, Martin Becka, Marián Vajtersic
Asymptotic Quadratic Convergence of the Two-Sided Serial and Parallel Block-Jacobi SVD Algorithm. SIAM J. Matrix Anal. Appl. 40 (2) (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)
Shuhei Kudo, Kousuke Yasuda, Yusaku Yamamoto
Performance of the parallel block Jacobi method with dynamic ordering for the symmetric eigenvalue problem. JSIAM Lett. 10 (2018)
Shuhei Kudo, Yusaku Yamamoto, Martin Becka, Marián Vajtersic
Performance analysis and optimization of the parallel one-sided block Jacobi SVD algorithm with dynamic ordering and variable blocking. Concurr. Comput. Pract. Exp. 29 (9) (2017)
Gabriel Oksa, Yusaku Yamamoto, Marián Vajtersic
Asymptotic quadratic convergence of the serial block-Jacobi EVD algorithm for Hermitian matrices. Numerische Mathematik 136 (4) (2017)
Yusaku Yamamoto
On the optimality and sharpness of Laguerre's lower bound on the smallest eigenvalue of a symmetric positive definite matrix. CoRR (2017)
Shuhei Kudo, Yusaku Yamamoto
On Using the Cholesky QR Method in the Full-Blocked One-Sided Jacobi Algorithm. PPAM (1) (2017)
Yusaku Yamamoto, Shuhei Kudo
Probabilistic analysis of an estimator for the Frobenius norm of a matrix product. JSIAM Lett. 9 (2017)
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)
Yusaku Yamamoto, Weichung Wang
iWAPT Introduction and Committees. IPDPS Workshops (2015)
Takumi Yamashita, Kinji Kimura, Yusaku Yamamoto
A new subtraction-free formula for lower bounds of the minimal singular value of an upper bidiagonal matrix. Numer. Algorithms 69 (4) (2015)
Sho Araki, Kinji Kimura, Yusaku Yamamoto, Yoshimasa Nakamura
Implementation details of an extended oqds algorithm for singular values. JSIAM Lett. 7 (2015)
Shuhei Kudo, Yusaku Yamamoto, Martin Becka, Marián Vajtersic
Performance of the Parallel One-Sided Block Jacobi SVD Algorithm on a Modern Distributed-Memory Parallel Computer. PPAM (1) (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)
Yusaku Yamamoto, Lan Zhang, Shuhei Kudo
Convergence analysis of the parallel classical block Jacobi method for the symmetric eigenvalue problem. JSIAM Lett. 6 (2014)
Takeshi Fukaya, Toshiyuki Imamura, Yusaku Yamamoto
Performance Analysis of the Householder-Type Parallel Tall-Skinny QR Factorizations Toward Automatic Algorithm Selection. VECPAR (2014)
Akiko Fukuda, Yusaku Yamamoto, Masashi Iwasaki, Emiko Ishiwata, Yoshimasa Nakamura
Error analysis for matrix eigenvalue algorithm based on the discrete hungry Toda equation. Numer. Algorithms 61 (2) (2012)
Yusuke Hirota, Yusaku Yamamoto, Shao-Liang Zhang
Cache optimization of a non-orthogonal joint diagonalization method. JSIAM Lett. 3 (2011)
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, Yusuke Hirota
A parallel algorithm for incremental orthogonalization based on the compact WY representation. JSIAM Lett. 3 (2011)
Jun-ichi Muramatsu, Shao-Liang Zhang, Yusaku Yamamoto
Acceleration of Hessenberg Reduction for Nonsymmetric Eigenvalue Problems Using GPU. ICNC (2010)
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)
Takafumi Miyata, Yusaku Yamamoto, Shao-Liang Zhang
Performance Modeling of Multishift QR Algorithms for the Parallel Solution of Symmetric Tridiagonal Eigenvalue Problems. ICA3PP (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
Equality conditions for lower bounds on the smallest singular value of a bidiagonal matrix. Appl. Math. Comput. 200 (1) (2008)
Takeshi Amako, Yusaku Yamamoto, Shao-Liang Zhang
A large-grained parallel algorithm for nonlinear eigenvalue problems and its implementation using OmniRPC. 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)
Yusaku Yamamoto
Efficient parallel implementation of a weather derivatives pricing algorithm based on the fast Gauss transform. IPDPS (2006)
Yusaku Yamamoto
Performance Modeling and Optimal Block Size Selection for the Small-Bulge Multishift QR Algorithm. ISPA (2006)
Yusaku Yamamoto
An Efficient and Easily Parallelizable Algorithm for Pricing Weather Derivatives. LSSC (2005)
Mark Broadie, Yusaku Yamamoto
Application of the Fast Gauss Transform to Option Pricing. Manag. Sci. 49 (8) (2003)
Yusaku Yamamoto, Mitsuyoshi Igai, Ken Naono
A Vector-Parallel FFT with a User-Specificable Data Distribution Scheme. ISPA (2003)
Ken Naono, Yusaku Yamamoto, Mitsuyoshi Igai, Hiroyuki Hirayama, Nobuhiro Ioki
A Multi-color Inverse Iteration for a High Performance Real Symmetric Eigensolver (Research Note). Euro-Par (2000)
Yusaku Yamamoto, Ken Naono, Sigeo Ihara
A New M-Sequence Based Parallel Random Number Generator with Reduced Correlation. PPSC (1999)