Naoyuki Onodera

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 13

Top Topics

Data Conversion

Lattice Boltzmann

Conjugate Gradient

Top Venues

Publications

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 (2023)
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)
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 (2023)
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)
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 (2021)
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)
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)
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)
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)
Takashi Shimokawabe, Naoyuki Onodera
A High-Productivity Framework for Adaptive Mesh Refinement on Multiple GPUs. ICCS (1) (2019)
Naoyuki Onodera, Yasuhiro Idomura
Acceleration of Wind Simulation Using Locally Mesh-Refined Lattice Boltzmann Method on GPU-Rich Supercomputers. SCFA (2018)
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)
Takashi Shimokawabe, Takayuki Aoki, Naoyuki Onodera
High-productivity Framework for Large-scale GPU/CPU Stencil Applications. ICCS (2016)
Takashi Shimokawabe, Takayuki Aoki, Naoyuki Onodera
High-Productivity Framework on GPU-Rich Supercomputers for Operational Weather Prediction Code ASUCA. SC (2014)
Naoyuki Onodera, Takayuki Aoki, Hiromichi Kobayashi
Large-eddy simulation of turbulent channel flows with conservative IDO scheme. J. Comput. Phys. 230 (14) (2011)