Abstract
Smoothed Particle Hydrodynamics is a gridless numerical method that can be used to simulate highly complex flows with one or more free surfaces. In the context of engineering applications, very few 3-D simulations have been carried out due to prohibitive computational cost since the number of particles required in 3-D is usually too large to be handled by a single processor. In this work, an improved version of a parallel 3-D SPH code, Spartacus-3D, is presented. Modifications to the code, which include a localisation of all the previously global arrays combined with a switch from global communications to local ones where possible, lead to a more efficient parallel code and allow for a substantial increase in the number of particles in a simulation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
R. Issa, Numerical assessment of the Smoothed Particle Hydrodynamics gridless method for incompressible flows and its extension to turbulent flows, PhD thesis, UMIST, (2004).
J. J. Monaghan, Particle Methods for Hydrodynamics. Comput. Phys. Rep., 3 (1985) 71.
J.J. Monaghan, Smoothed Particle Hydrodynamics, Ann. Rev. of Astronomy and Astrophysics. 30 (1992) 543.
J. P. Morris and P. J. Fox and Y. Zhu, Modelling low Reynolds Number Incompressible Flows Using SPH, J. of Comp. Phys., 136 (1997) 214.
C. Moulinec, R. Issa, J.C. Marongiu and D. Violeau, Parallel 3-D SPH Simulations. Comp. Mod. in Engineering and Science 25 (2008), 133.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer Berlin Heidelberg
About this paper
Cite this paper
Moulinec, C., Issa, R., Latino, D., Vezolle, P., Emerson, D.R., Gu, X.J. (2010). High-Performance Computing and Smoothed Particle Hydrodynamics. In: Tromeur-Dervout, D., Brenner, G., Emerson, D., Erhel, J. (eds) Parallel Computational Fluid Dynamics 2008. Lecture Notes in Computational Science and Engineering, vol 74. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14438-7_28
Download citation
DOI: https://doi.org/10.1007/978-3-642-14438-7_28
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14437-0
Online ISBN: 978-3-642-14438-7
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)