Massively parallel axisymmetric fluid model for streamer discharges

IF 7.2 2区 物理与天体物理 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computer Physics Communications Pub Date : 2024-08-12 DOI:10.1016/j.cpc.2024.109345
A. Fierro , A. Alibalazadeh , J. Stephens , C. Moore
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Abstract

A highly parallelizable fluid plasma simulation tool based upon the first-order drift-diffusion equations is discussed. Atmospheric pressure plasmas have densities and gradients that require small element sizes in order to accurately simulate the plasm resulting in computational meshes on the order of millions to tens of millions of elements for realistic size plasma reactors. To enable simulations of this nature, parallel computing is required and must be optimized for the particular problem. Here, a finite-volume, electrostatic drift-diffusion implementation for low-temperature plasma is discussed. The implementation is built upon the Message Passing Interface (MPI) library in C++ using Object Oriented Programming. The underlying numerical method is outlined in detail and benchmarked against simple streamer formation from other streamer codes. Electron densities, electric field, and propagation speeds are compared with the reference case and show good agreement. Convergence studies are also performed showing a minimal space step of approximately 4 μm required to reduce relative error to below 1% during early streamer simulation times and even finer space steps are required for longer times. Additionally, strong and weak scaling of the implementation are studied and demonstrate the excellent performance behavior of the implementation up to 100 million elements on 1024 processors. Finally, different advection schemes are compared for the simple streamer problem to analyze the influence of numerical diffusion on the resulting quantities of interest.

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用于流体排放的大规模平行轴对称流体模型
本文讨论了基于一阶漂移扩散方程的高度可并行化流体等离子体模拟工具。大气压力等离子体具有密度和梯度,需要较小的元素尺寸才能精确模拟等离子体,因此对于实际大小的等离子体反应堆,计算网格需要数百万到数千万元素。要进行这种性质的模拟,需要并行计算,而且必须针对特定问题进行优化。这里讨论的是针对低温等离子体的有限体积静电漂移扩散实施方案。该实施方案基于 C++ 中的消息传递接口(MPI)库,采用面向对象编程。详细介绍了基本的数值方法,并以其他流形编码的简单流形形成为基准。将电子密度、电场和传播速度与参考案例进行了比较,结果显示两者吻合良好。同时还进行了收敛性研究,结果表明,在早期流星模拟时间内,需要约 4 μm 的最小空间步长才能将相对误差降至 1%以下,而在更长的时间内则需要更细的空间步长。此外,还研究了实现的强扩展和弱扩展,并证明了在 1024 个处理器上实现高达 1 亿个元素的卓越性能。最后,对简单流线问题的不同平流方案进行了比较,以分析数值扩散对所产生的相关量的影响。
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来源期刊
Computer Physics Communications
Computer Physics Communications 物理-计算机:跨学科应用
CiteScore
12.10
自引率
3.20%
发文量
287
审稿时长
5.3 months
期刊介绍: The focus of CPC is on contemporary computational methods and techniques and their implementation, the effectiveness of which will normally be evidenced by the author(s) within the context of a substantive problem in physics. Within this setting CPC publishes two types of paper. Computer Programs in Physics (CPiP) These papers describe significant computer programs to be archived in the CPC Program Library which is held in the Mendeley Data repository. The submitted software must be covered by an approved open source licence. Papers and associated computer programs that address a problem of contemporary interest in physics that cannot be solved by current software are particularly encouraged. Computational Physics Papers (CP) These are research papers in, but are not limited to, the following themes across computational physics and related disciplines. mathematical and numerical methods and algorithms; computational models including those associated with the design, control and analysis of experiments; and algebraic computation. Each will normally include software implementation and performance details. The software implementation should, ideally, be available via GitHub, Zenodo or an institutional repository.In addition, research papers on the impact of advanced computer architecture and special purpose computers on computing in the physical sciences and software topics related to, and of importance in, the physical sciences may be considered.
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