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| author |  Weiqun Zhang <WeiqunZhang@lbl.gov>
| 2022-01-11 12:54:51 -0800 |
|---|---|---|
| committer |  GitHub <noreply@github.com>
| 2022-01-11 12:54:51 -0800 |
| commit | daa51549ff6de4d20db1b388251a234bac7c2027 (patch) | |
| tree | 4d10a206181be8e25ab7ab10ad149d054473b647 /Python | |
| parent | 61e5cffc5442e4704dcef4dffe6cdaaa9b9bbd0a (diff) | |
| download | WarpX-daa51549ff6de4d20db1b388251a234bac7c2027.tar.gz WarpX-daa51549ff6de4d20db1b388251a234bac7c2027.tar.zst WarpX-daa51549ff6de4d20db1b388251a234bac7c2027.zip | |
More efficient PML BoxArray (#2631)
* More efficient PML BoxArray
If the union of the grids is a single rectangular domain, we can simplify
the process and generate more efficient PML BoxArray.
* Update Source/BoundaryConditions/PML.cpp
Co-authored-by: Edoardo Zoni <59625522+EZoni@users.noreply.github.com>
* Apply suggestions from code review
* reset Python_wrappers benchmark
* fix the computation of sigmas for the new BoxArray
* Revert "reset Python_wrappers benchmark"
This reverts commit 2999304571d525076ba6c1f7cbbcef6e9acafabb.
* fix warning
* fix 1d
* initialize to quiet NaN
* Reset Benchmark: pml_x_psatd
- maximum relative error: 2.50e-06
- new implementation: 10 PML grids
- old implementation: 24 PML grids
* Reset Benchmark: LaserAccelerationMR
- maximum relative error: 2.73e-04
- new implementation: (18,8,8) PML grids
- old implementation: (48,18,18) PML grids
* Reset Benchmark: LaserOnFine
- maximum relative error: 6.44e-05
- new implementation: (2,6,6) PML grids
- old implementation: (2,12,12) PML grids
* Reset Benchmark: PlasmaAccelerationMR
- maximum relative error: 6.84e-04
- new implementation: (10,6,6) PML grids
- old implementation: (24,12,12) PML grids
* Reset Benchmark: RefinedInjection
- maximum relative error: 2.55e-04
- new implementation: (18,8,8) PML grids
- old implementation: (48,18,18) PML grids
* Reset Benchmark: momentum-conserving-gather
- maximum relative error: 7.43e-04
- new implementation: (10,6,6) PML grids
- old implementation: (24,12,12) PML grids
* Reset Benchmark: subcyclingMR
- maximum relative error: 2.41e-05
- new implementation: (6,6,6) PML grids
- old implementation: (12,12,12) PML grids
* Reset Benchmark: Langmuir_multi_2d_MR
- maximum relative error: 1.32e-01 (B numerical artifact)
- new implementation: (0,20,20) PML grids
- old implementation: (0,52,40) PML grids
* Reset Benchmark: Langmuir_multi_2d_MR_psatd
- maximum relative error: 1.05e-01 (B numerical artifact)
- new implementation: (0,20,20) PML grids
- old implementation: (0,52,40) PML grids
* Reset Benchmark: Python_LaserAccelerationMR
- maximum relative error: 2.73e-04
- new implementation: (18,8,8) PML grids
- old implementation: (48,18,18) PML grids
* Reset Benchmark: Python_wrappers
- maximum relative error: 1.07e-08
- new implementation: 8 PML grids
- old implementation: 16 PML grids
* Reset Benchmark: pml_psatd_dive_divb_cleaning
- maximum relative error: 4.91e-03
- new implementation: 24 PML grids
- old implementation: 98 PML grids
* Remove an assertion. We will fix it later
* Reset Benchmark: Langmuir_multi_2d_MR_anisotropic
- maximum relative error: 1.07e-01 (B numerical artifact)
- new implementation: (0,16,16) PML grids
- old implementation: (0,40,34) PML grids
* Reset Benchmark: PEC_field_mr
- maximum relative error: 3.98e-02
- new implementation: (0,2,2) PML grids
- old implementation: (0,2,2) PML grids
(different number of ghost cells on coarse PML patch)
Co-authored-by: Edoardo Zoni <59625522+EZoni@users.noreply.github.com>
Co-authored-by: Edoardo Zoni <ezoni@lbl.gov>
Diffstat (limited to 'Python')
0 files changed, 0 insertions, 0 deletions