Domain Decomposition Based SPH Parallel Computing Method Study and Its Application

Authors

Chen Hong, Hypervelocity Impact Research Center, China Aerodynamics Research and Development Center, Mianyang 621000, China;
Huang Jie, Hypervelocity Impact Research Center, China Aerodynamics Research and Development Center, Mianyang 621000, China;
Li Yi, Hypervelocity Impact Research Center, China Aerodynamics Research and Development Center, Mianyang 621000, China;
Liu Sen, Hypervelocity Impact Research Center, China Aerodynamics Research and Development Center, Mianyang 621000, China;

Abstract

Abstract: To improve the speed and the capability of large scale simulation of SPH (Smoothed particle hydrodynamics), a parallel SPH method based on dynamic domain decomposition is developed. The decomposition of arbitrary numbers of subdomains is achieved by adopting dimension based factorable method. Rapid parallel cut plane search is achieved by adopting bisection method. The data communication between compute nodes is reduced by improving the subdomain assignment. A parallel SPH program was developed based on this method, with which the process of projectile hypervelocity impacting thin plate producing debris cloud was simulated. The result shows that: the method is suitable for the simulation of large scale shock dynamic problem, the load balance is well kept during the simulation, and the method shows a good linear acceleration feature.

Recommended Citation

Hong, Chen; Jie, Huang; Yi, Li; and Sen, Liu (2019) "Domain Decomposition Based SPH Parallel Computing Method Study and Its Application," Journal of System Simulation: Vol. 30: Iss. 10, Article 15.
DOI: 10.16182/j.issn1004731x.joss.201810015
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss10/15

First Page

3717

Revised Date

2017-01-07

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201810015

Last Page

3723

CLC

O246

Recommended Citation

Chen Hong, Huang Jie, Li Yi, Liu Sen. Domain Decomposition Based SPH Parallel Computing Method Study and Its Application[J]. Journal of System Simulation, 2018, 30(10): 3717-3723.

DOI

10.16182/j.issn1004731x.joss.201810015