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Yusaku Yamamoto
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Publications
- 2022
- [j26]Hisashi Kohashi, Harumichi Iwamoto, Takeshi Fukaya, Yusaku Yamamoto, Takeo Hoshi:
Performance prediction of massively parallel computation by Bayesian inference. JSIAM Lett. 14: 13-16 (2022) - 2021
- [i4]Hisashi Kohashi, Harumichi Iwamoto, Takeshi Fukaya, Yusaku Yamamoto, Takeo Hoshi:
Performance prediction of massively parallel computation by Bayesian inference. CoRR abs/2110.14545 (2021) - 2020
- [j19]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): A477-A503 (2020) - 2018
- [c18]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: 1113-1122 - 2016
- [j12]Yusaku Yamamoto, Yuji Nakatsukasa, Yuka Yanagisawa, Takeshi Fukaya:
Roundoff error analysis of the CholeskyQR2 algorithm in an oblique inner product. JSIAM Lett. 8: 5-8 (2016) - [c16]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: 345-352 - 2014
- [c13]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: 31-38 - [c12]Takeshi Fukaya, Toshiyuki Imamura, Yusaku Yamamoto:
Performance Analysis of the Householder-Type Parallel Tall-Skinny QR Factorizations Toward Automatic Algorithm Selection. VECPAR 2014: 269-283 - 2011
- [j7]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): 132-143 (2011) - 2010
- [j4]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: 69-72 (2010) - [p1]Yusaku Yamamoto, Takeshi Fukaya:
Dynamic Programming Approaches to Optimizing the Blocking Strategy for Basic Matrix Decompositions. Software Automatic Tuning, From Concepts to State-of-the-Art Results 2010: 69-85 - 2009
- [j3]Yusaku Yamamoto, Takeshi Fukaya:
Differential qd algorithm for totally nonnegative band matrices: convergence properties and error analysis. JSIAM Lett. 1: 56-59 (2009) - 2008
- [c8]Takeshi Fukaya, Yusaku Yamamoto, Shao-Liang Zhang:
A dynamic programming approach to optimizing the blocking strategy for the Householder QR decomposition. CLUSTER 2008: 402-410 - 2007
- [c7]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: 340-345
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