返回
Particle sorting for the projection based particle method
DOI:10.1016/j.enganabound.2019.07.022.png)
摘要
En 中文
In this paper, we have investigated the effects of the particles sorting for projection based particle method, e.g., incompressible smoothed particle hydrodynamics. We are particularly looking at the effects of natural order sorting, Hilbert space filling curve and Morton space filling curve sorting. The data layout changes because of sorting and implementation procedure have been described in detail. We have found that the particles sorting does not only improve the general SPH kernels performance, but also has an influence on the sparse matrix structure of the pressure Poisson equation. We have also discussed and compared the performance difference between space filling curve sorting methods and natural order sorting both in serial and parallel with the dam break test case which has typical violent flow feature.
Keyword:
Particle sorting
Projection based particle method
ISPH
Natural sorting
Space-filling curve
Sparse linear solver
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.1
论文数:
5.9K
被引数:
9.4K

