ORCID
- Deborah Greaves: 0000-0003-3906-9630
Abstract
This paper presents a new Smoothed Particle Hydrodynamics (SPH) parallel framework, which is designed for free surface flows and is scalable on a High Performance Computer (HPC). The framework is accomplished by adopting a Message Passing Interface (MPI) approach with a domain partitioning strategy. A regular background grid is used to partition the entire computational domain and each subdomain is labelled using an index ordering method. Adjacent subdomains can be determined by the index list, and avoid global communications in the particle distribution process. Within the local grid, the grid is divided into an internal grid as well as an interactive grid to identify the particles for which information is to be transferred. The implementation of the dynamic loading balance strategy considers two different ways of determining loading: computation particle numbers and running time. The dynamic load balance strategy repositions neighbouring subdomains based on the local load imbalance between cores. To demonstrate the framework’s capacity and distinctive properties, a variety of free surface flow benchmarks are studied. Intensive numerical experiments at various scales are used to assess the performance in detail.
DOI Link
Publication Date
2023-03-01
Publication Title
Computer Physics Communications
Volume
284
ISSN
0010-4655
Acceptance Date
2022-11-21
Deposit Date
2022-11-29
Embargo Period
2022-12-08
Funding
The research was supported by the financial support from China Scholarship Council (Grant No. 201806060137). The corresponding author gratefully acknowledges the support from Open Research Fund Program of State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University (Grant No. 1916). The authors acknowledge the data of wave structure simulation from the CCP-WSI Working Group.
Keywords
Smoothed particle hydrodynamics, Parallel computing, Load balance, Free surface flow
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Zhu, G., Hughes, J., Zheng, S., & Greaves, D. (2023) 'A Novel MPI-based Parallel Smoothed Particle Hydrodynamics Framework with Dynamic Load Balancing for Free Surface Flow', Computer Physics Communications, 284. Available at: 10.1016/j.cpc.2022.108608
