Research Article
Approximate Crank–Nicolson Algorithm with Higher-Order PML Implementation for Plasma Simulation in Open Region Problems
Table 1
The memory consumption, CFLN, CPU time, iteration steps, and time reduction obtained by different PML algorithms.
| | PML algorithms | CFLN | Steps | Memory (GB) | CPU time (min) | Reduction (%) |
| | FDTD-PML | 1 | 32768 | 24.1 | 39.2 | — | | CNDS-PML | 1 | 32768 | 34.8 | 180.3 | 3599.5 | | CNAFS-PML | 1 | 32768 | 39.6 | 360.6 | 8199.0 | | HO-PML | 1 | 32768 | 32.9 | 89.2 | 1275.5 | | Proposed | 1 | 32768 | 51.5 | 427.8 | 9913.3 | | CNDS-PML | 10 | 3277 | 34.8 | 12.9 | 67.1 | | CNAFS-PML | 10 | 3277 | 39.6 | 20.7 | 47.2 | | Proposed | 10 | 3277 | 21.5 | 23.1 | 41.1 |
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