Abstract
It is important to develop a reliable and high-throughput simulation method for predicting airflows in the installation planning phase of windmill power plants. This study proposes a two-stage mesh generation approach to reduce the meshing cost and introduces a hybrid parallelization scheme for atmospheric fluid simulations. The meshing approach splits mesh generation into two stages: in the first stage, the meshing parameters that uniquely determine the mesh distribution are extracted, and in the second stage, a mesh system is generated in parallel via an in situ approach using the parameters obtained in the initialization phase of the simulation. The proposed two-stage approach is flexible since an arbitrary number of processes can be selected at run time. An efficient OpenMP-MPI hybrid parallelization scheme using a middleware that provides a framework of parallel codes based on the domain decomposition method is also developed. The preliminary results of the meshing and computing performance show excellent scalability in the strong scaling test.
| Original language | English |
|---|---|
| Article number | 5231839 |
| Journal | Modelling and Simulation in Engineering |
| Volume | 2019 |
| DOIs | |
| Publication status | Published - 2019 |
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All Science Journal Classification (ASJC) codes
- Modelling and Simulation
- Engineering(all)
- Computer Science Applications
Cite this
High-Performance Parallel Simulation of Airflow for Complex Terrain Surface. / Ono, Kenji; Uchida, Takanori.
In: Modelling and Simulation in Engineering, Vol. 2019, 5231839, 2019.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - High-Performance Parallel Simulation of Airflow for Complex Terrain Surface
AU - Ono, Kenji
AU - Uchida, Takanori
PY - 2019
Y1 - 2019
N2 - It is important to develop a reliable and high-throughput simulation method for predicting airflows in the installation planning phase of windmill power plants. This study proposes a two-stage mesh generation approach to reduce the meshing cost and introduces a hybrid parallelization scheme for atmospheric fluid simulations. The meshing approach splits mesh generation into two stages: in the first stage, the meshing parameters that uniquely determine the mesh distribution are extracted, and in the second stage, a mesh system is generated in parallel via an in situ approach using the parameters obtained in the initialization phase of the simulation. The proposed two-stage approach is flexible since an arbitrary number of processes can be selected at run time. An efficient OpenMP-MPI hybrid parallelization scheme using a middleware that provides a framework of parallel codes based on the domain decomposition method is also developed. The preliminary results of the meshing and computing performance show excellent scalability in the strong scaling test.
AB - It is important to develop a reliable and high-throughput simulation method for predicting airflows in the installation planning phase of windmill power plants. This study proposes a two-stage mesh generation approach to reduce the meshing cost and introduces a hybrid parallelization scheme for atmospheric fluid simulations. The meshing approach splits mesh generation into two stages: in the first stage, the meshing parameters that uniquely determine the mesh distribution are extracted, and in the second stage, a mesh system is generated in parallel via an in situ approach using the parameters obtained in the initialization phase of the simulation. The proposed two-stage approach is flexible since an arbitrary number of processes can be selected at run time. An efficient OpenMP-MPI hybrid parallelization scheme using a middleware that provides a framework of parallel codes based on the domain decomposition method is also developed. The preliminary results of the meshing and computing performance show excellent scalability in the strong scaling test.
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UR - http://www.scopus.com/inward/citedby.url?scp=85062326835&partnerID=8YFLogxK
U2 - 10.1155/2019/5231839
DO - 10.1155/2019/5231839
M3 - Article
VL - 2019
JO - Modelling and Simulation in Engineering
JF - Modelling and Simulation in Engineering
SN - 1687-5591
M1 - 5231839
ER -