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ORCIDAkira Imakura
- > Home > Persons > Akira Imakura
Publications
- 2022
[j25]Sarah Huber
, Yasunori Futamura, Martin Galgon, Akira Imakura, Bruno Lang, Tetsuya Sakurai:
Flexible subspace iteration with moments for an effective contour integration-based eigensolver. Numer. Linear Algebra Appl. 29(6) (2022)- 2021
- [c15]Takahiro Yano, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai:
Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace. HPC Asia 2021: 83-89 - 2020
- [p1]Christie L. Alappat, Andreas Alvermann, Achim Basermann, Holger Fehske, Yasunori Futamura, Martin Galgon, Georg Hager, Sarah Huber, Akira Imakura, Masatoshi Kawai, Moritz Kreutzer, Bruno Lang, Kengo Nakajima, Melven Röhrig-Zöllner, Tetsuya Sakurai, Faisal Shahzad, Jonas Thies, Gerhard Wellein:
ESSEX: Equipping Sparse Solvers For Exascale. Software for Exascale Computing 2020: 143-187 - [i6]Sarah Huber, Yasunori Futamura, Martin Galgon, Akira Imakura, Bruno Lang, Tetsuya Sakurai:
Flexible subspace iteration with moments for an effective contour integration-based eigensolver. CoRR abs/2010.10162 (2020) - 2018
- [j15]Takahiro Yano, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai:
Performance evaluation of the Sakurai-Sugiura method with a block Krylov subspace linear solver for large dense Hermitian-definite generalized eigenvalue problems. JSIAM Lett. 10: 77-80 (2018) - [j14]Akira Imakura, Yuto Inoue, Tetsuya Sakurai, Yasunori Futamura:
Parallel Implementation of the Nonlinear Semi-NMF Based Alternating Optimization Method for Deep Neural Networks. Neural Process. Lett. 47(3): 815-827 (2018) - 2017
- [c4]Akira Imakura, Yasunori Futamura, Tetsuya Sakurai:
Structure-Preserving Technique in the Block SS-Hankel Method for Solving Hermitian Generalized Eigenvalue Problems. PPAM (1) 2017: 600-611 - [c3]Shigeru Iwase, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai, Tomoya Ono:
Efficient and scalable calculation of complex band structure using Sakurai-Sugiura method. SC 2017: 40 - 2016
- [c2]Tetsuya Sakurai, Akira Imakura, Yuto Inoue, Yasunori Futamura:
Alternating Optimization Method Based on Nonnegative Matrix Factorizations for Deep Neural Networks. ICONIP (4) 2016: 354-362 - [i1]Tetsuya Sakurai, Akira Imakura, Yuto Inoue, Yasunori Futamura:
Alternating optimization method based on nonnegative matrix factorizations for deep neural networks. CoRR abs/1605.04639 (2016) - 2015
- [j7]Yasuyuki Maeda, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai:
Filter analysis for the stochastic estimation of eigenvalue counts. JSIAM Lett. 7: 53-56 (2015)
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