TY - JOUR
T1 - High-Performance Parallel Simulation of Airflow for Complex Terrain Surface
AU - Ono, Kenji
AU - Uchida, Takanori
N1 - Funding Information:
/is research used some computational resources of the K computer at the RIKEN Center for Computational Science in Kobe, Japan, and was carried out using the computer resources offered under the category of a general project by the Research Institute for Information Technology, Kyushu University. /is research was partially supported by the Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT) as a social and scientific priority issue to be tackled using the post-K computer (Project ID: hp170238 for “Development of Innovative Design and Production Processes that Lead the Way for the Manufacturing Industry in the Near Future” and hp170270 for Accelerated Development of Innovative Clean Energy Systems).
Publisher Copyright:
© 2019 Kenji Ono and Takanori Uchida.
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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U2 - 10.1155/2019/5231839
DO - 10.1155/2019/5231839
M3 - Article
AN - SCOPUS:85062326835
VL - 2019
JO - Modelling and Simulation in Engineering
JF - Modelling and Simulation in Engineering
SN - 1687-5591
M1 - 5231839
ER -