Weak Scaling of the Parallel Immersed-Finite-Element Particle-In-Cell (PIFE-PIC) Framework with Lunar Plasma Charging Simulations
Weak scaling performance of a recently developed fully kinetic, 3-D parallel immersed-finite-element particle-in-cell framework, namely PIFE-PIC, was investigated. A nominal 1-D plasma charging problem, the lunar photoelectron sheath at a low Sun elevation angle, was chosen to validate PIFE-PIC against recently derived semi-analytic solutions of a 1-D photoelectron sheath. The weak scaling performance test shows that the overall efficiency of PIFE-PIC is insensitive to the number of macroparticles and, counterintuitively, more domain decomposition iterations in the field-solve of PIC may lead to faster computing due to better convergence of field solutions at early stages of PIC iteration. The PIFE-PIC framework was then applied to simulate plasma charging of a wavy lunar surface with 324,000 cells and 150 million macroparticles demonstrating the capability of PIFE-PIC in resolving local-scale plasma environment near the surface of the Moon.
D. Lund et al., "Weak Scaling of the Parallel Immersed-Finite-Element Particle-In-Cell (PIFE-PIC) Framework with Lunar Plasma Charging Simulations," Computational Particle Mechanics, Springer, Mar 2022.
The definitive version is available at https://doi.org/10.1007/s40571-022-00470-0
Mathematics and Statistics
Mechanical and Aerospace Engineering
Center for High Performance Computing Research
Keywords and Phrases
Immersed finite element; Particle in cell; Plasma charging; Weak scaling
International Standard Serial Number (ISSN)
Article - Journal
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07 Mar 2022