Estudo e Análise de Processamento Paralelo em Simulações de Fluidodinâmica Computacional com OpenFOAM

  • Valesca Moura de Sousa UFF
  • Fernanda Gonçalves de Oliveira Passos UFF

Abstract


This papers aims to analyze the performance of parallel methods implemented in the computational fluid-dynamic tool, OpenFOAM. This analysis is based on two cases in different contexts and complexities. The results shows that the considered parallel methods of the tool do not scale and specific efforts to adjust input parameters are necessary for convergence in complex cases.
Keywords: Avaliação, Medição e Predição de Desempenho, Computação em Nuvem, Grade, Aglomerado (Cluster) e Peer-to-Peer, Aplicações em Agricultura, Biologia, Engenharia, Física, Matemática, Medicina, Mercado Financeiro, Nanociências, Óleo e Gás, Química e outras áreas

References

Lin, Z. et al. (2018). Communication optimization for multiphase flow solver in the library of OpenFOAM. Water, 10(10):1461.

OpenFOAM (2019). The open source CFD toolbox. http://www.openfoam.com. Acessado em Outubro de 2020.

Rivera, O. and Furlinger, K. (2011). Parallel aspects of openfoam with large eddy simulations. In 2011 IEEE Int. Conf. on HPC and Communications, pages 389–396.

Versteeg, H. K. and Malalasekera, W. (2007). An Introduction to Computational Fluid Dynamics: The Finite Volume Method. Editora Prentice Hall, 2 edition.

Wang, M. et al. (2012). Performance analysis of the graph-partitioning algorithms used in OpenFOAM. IEEE 5th Int. Conf. on Advanced Comp. Intelligence, pages 99–104.

Xu, L., Wang, M., Xu, X., Cui, C., and Yang, X. (2019). Dynamic mesh re-partitioning considering iterative convergence rate for multiphase flows in OpenFOAM. Concurrency and Computation: Practice and Experience, 31(21):e5412.
Published
2020-11-30
SOUSA, Valesca Moura de; PASSOS, Fernanda Gonçalves de Oliveira. Estudo e Análise de Processamento Paralelo em Simulações de Fluidodinâmica Computacional com OpenFOAM. In: REGIONAL SCHOOL OF HIGH PERFORMANCE COMPUTING FROM RIO DE JANEIRO (ERAD-RJ), 6. , 2020, Evento Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020 . p. 45-47. DOI: https://doi.org/10.5753/eradrj.2020.14517.