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2020 – today
- 2023
[c11]Takuya Ina
, Yasuhiro Idomura, Toshiyuki Imamura, Naoyuki Onodera:
A new data conversion method for mixed precision Krylov solvers with FP16/BF16 Jacobi preconditioners. HPC Asia 2023: 29-34- [i2]Yuta Hasegawa, Toshiyuki Imamura, Takuya Ina, Naoyuki Onodera, Yuuichi Asahi, Yasuhiro Idomura:
GPU Optimization of Lattice Boltzmann Method with Local Ensemble Transform Kalman Filter. CoRR abs/2308.03310 (2023) - [i1]Yuuichi Asahi, Yuta Hasegawa, Naoyuki Onodera, Takashi Shimokawabe, Hayato Shiba, Yasuhiro Idomura:
Generating observation guided ensembles for data assimilation with denoising diffusion probabilistic model. CoRR abs/2308.06708 (2023) - 2022
- [c10]Yuta Hasegawa, Toshiyuki Imamura, Takuya Ina, Naoyuki Onodera, Yuuichi Asahi, Yasuhiro Idomura:
GPU Optimization of Lattice Boltzmann Method with Local Ensemble Transform Kalman Filter. ScalAH@SC 2022: 10-17 - 2021
- [j2]Yuta Hasegawa, Takayuki Aoki, Hiromichi Kobayashi, Yasuhiro Idomura, Naoyuki Onodera:
Tree cutting approach for domain partitioning on forest-of-octrees-based block-structured static adaptive mesh refinement with lattice Boltzmann method. Parallel Comput. 108: 102851 (2021) - [c9]Yuuichi Asahi, Sora Hatayama, Takashi Shimokawabe, Naoyuki Onodera, Yuta Hasegawa, Yasuhiro Idomura:
AMR-Net: Convolutional Neural Networks for Multi-resolution Steady Flow Prediction. CLUSTER 2021: 686-691 - [c8]Naoyuki Onodera, Yasuhiro Idomura, Yuta Hasegawa, Susumu Yamashita, Takashi Shimokawabe, Takayuki Aoki:
GPU Acceleration of Multigrid Preconditioned Conjugate Gradient Solver on Block-Structured Cartesian Grid. HPC Asia 2021: 120-128 - [c7]Takuya Ina, Yasuhiro Idomura, Toshiyuki Imamura, Susumu Yamashita, Naoyuki Onodera:
Iterative methods with mixed-precision preconditioning for ill-conditioned linear systems in multiphase CFD simulations. ScalA@SC 2021: 1-8
2010 – 2019
- 2019
- [c6]Takashi Shimokawabe, Naoyuki Onodera:
A High-Productivity Framework for Adaptive Mesh Refinement on Multiple GPUs. ICCS (1) 2019: 281-294 - [c5]Yussuf Ali, Naoyuki Onodera, Yasuhiro Idomura, Takuya Ina:
GPU Acceleration of Communication Avoiding Chebyshev Basis Conjugate Gradient Solver for Multiphase CFD Simulations. ScalA@SC 2019: 1-8 - 2018
- [c4]Naoyuki Onodera, Yasuhiro Idomura:
Acceleration of Wind Simulation Using Locally Mesh-Refined Lattice Boltzmann Method on GPU-Rich Supercomputers. SCFA 2018: 128-145 - 2017
- [c3]Takashi Shimokawabe, Toshio Endo, Naoyuki Onodera, Takayuki Aoki:
A Stencil Framework to Realize Large-Scale Computations Beyond Device Memory Capacity on GPU Supercomputers. CLUSTER 2017: 525-529 - 2016
- [c2]Takashi Shimokawabe, Takayuki Aoki, Naoyuki Onodera:
High-productivity Framework for Large-scale GPU/CPU Stencil Applications. ICCS 2016: 1646-1657 - 2014
- [c1]Takashi Shimokawabe, Takayuki Aoki, Naoyuki Onodera:
High-Productivity Framework on GPU-Rich Supercomputers for Operational Weather Prediction Code ASUCA. SC 2014: 251-261 - 2011
- [j1]Naoyuki Onodera, Takayuki Aoki, Hiromichi Kobayashi:
Large-eddy simulation of turbulent channel flows with conservative IDO scheme. J. Comput. Phys. 230(14): 5787-5805 (2011)
Coauthor Index
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