Parallel operation in Memory and Hybrid Distributed Environment for Applied CFD Simulation
Abstract
This paper explores an application of computational fluid dynamics to simulate an herbicide applicator for control weeds in pastures. The processing of runtime computational architectures distributed and hybrid memory were compared to identify the potential of the operating capacity of the system parallelism.
Keywords:
Distributed Shared Memory (DSM), Basic Software for Parallel and Distributed Computing, Techniques and Extraction Methods Parallelism
References
Council, H. A. (2010). Openfoam performance benchmark and profiling. Disponível em: http://www.hpcadvisorycouncil.com/pdf/OpenFOAM Analysis and .
OpenCFD (2019). User guide. In The OpenFOAM Foundation. OpenFOAM R - Official home of The Open Source Computational Fluid Dynamics (CFD) Toolbox.
Versteeg, H. K. and Malalasekera, W. (2007). An introduction to computational fluid dynamics: the finite volume method. Pearson education, 3rd edition.
OpenCFD (2019). User guide. In The OpenFOAM Foundation. OpenFOAM R - Official home of The Open Source Computational Fluid Dynamics (CFD) Toolbox.
Versteeg, H. K. and Malalasekera, W. (2007). An introduction to computational fluid dynamics: the finite volume method. Pearson education, 3rd edition.
Published
2020-04-15
How to Cite
SPECHT, Mateus; DE PINHO, Leonardo Bidese; PEREZ, Naylor Bastiani.
Parallel operation in Memory and Hybrid Distributed Environment for Applied CFD Simulation. In: REGIONAL SCHOOL OF HIGH PERFORMANCE COMPUTING FROM SOUTHERN BRAZIL (ERAD-RS), 20. , 2020, Santa Maria.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2020
.
p. 163-164.
ISSN 2595-4164.
DOI: https://doi.org/10.5753/eradrs.2020.10788.
