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implemented COLA with P3M force evaluation and custom time stepping for P3M

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This commit is contained in:
Tristan Hoellinger 2025-06-16 15:39:16 +02:00
parent 7cb65744f3
commit 34594a2bf6
29 changed files with 69704 additions and 106986 deletions
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86
submit/actual_p3m_limiter_cola.sh Normal file
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#!/bin/bash
#SBATCH --job-name=cola_2_1_05_L64_N64_Np64_v4
#SBATCH --output=/data70/hoellinger/WIP3M/cola_2_1_05_L64_N64_Np64_v4/log.log
#SBATCH --error=/data70/hoellinger/WIP3M/cola_2_1_05_L64_N64_Np64_v4/err.err
#SBATCH --nodes=1 # Number of nodes (value or min-max)
#SBATCH --ntasks=64 # The number of tasks (i.e. cores) per node
#SBATCH --partition=comp,pscomp # Partition name
#SBATCH --time=12:00:00
##SBATCH --exclusive
##SBATCH --nodelist=i26 # Node name
##SBATCH --mem=64G # Memory pool for all cores (see also --mem-per-cpu)
##SBATCH --array=0-10 # Size of the array
##SBATCH --constraint=? # Constraint e.g. specific node type
conda activate p3m
export OMP_NUM_THREADS=16
python $WIP3M_ROOT_PATH"src/wip3m/convergence_cola_p3m_only_expl.py" \
--run_id cola_2_1_05_L64_N64_Np64_v4 \
--L 64 \
--N 64 \
--Np 64 \
--Npm 128 \
--n_Tiles 16 \
--z_i 19.0 \
--z_f 0.0 \
--plot_fields True \
--scale_limiter "fac_p3m_fit" \
--use_p3m_fit True \
--scaling_p3m1 2.0 \
--scaling_p3m2 1.0 \
--scaling_p3m3 0.5
# export OMP_NUM_THREADS=32
# python $WIP3M_ROOT_PATH"src/wip3m/convergence_cola_p3m_only_expl.py" \
# --run_id cola_2_1_05_L128_N128_Np128 \
# --L 128 \
# --N 128 \
# --Np 128 \
# --Npm 256 \
# --n_Tiles 32 \
# --z_i 19.0 \
# --z_f 0.0 \
# --plot_fields True \
# --scale_limiter "fac_p3m_fit" \
# --use_p3m_fit True \
# --scaling_p3m1 2.0 \
# --scaling_p3m2 1.0 \
# --scaling_p3m3 0.5
# export OMP_NUM_THREADS=64
# python $WIP3M_ROOT_PATH"src/wip3m/convergence_cola_p3m_only_expl.py" \
# --run_id cola_432_L1024_N512_Np512 \
# --L 1024 \
# --N 512 \
# --Np 512 \
# --Npm 1024 \
# --n_Tiles 128 \
# --z_i 19.0 \
# --z_f 0.0 \
# --plot_fields True \
# --scale_limiter "fac_p3m_fit" \
# --use_p3m_fit True \
# --scaling_p3m1 4.0 \
# --scaling_p3m2 3.0 \
# --scaling_p3m3 2.0
# export OMP_NUM_THREADS=64
# python $WIP3M_ROOT_PATH"src/wip3m/convergence_cola_p3m_only_expl.py" \
# --run_id cola_432_L128_N256_Np128 \
# --L 128 \
# --N 256 \
# --Np 128 \
# --Npm 256 \
# --n_Tiles 32 \
# --z_i 19.0 \
# --z_f 0.0 \
# --plot_fields True \
# --scale_limiter "fac_p3m_fit" \
# --use_p3m_fit True \
# --scaling_p3m1 4.0 \
# --scaling_p3m2 3.0 \
# --scaling_p3m3 2.0
exit 0

38
submit/colalim.sh Normal file
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#!/bin/bash
#SBATCH --job-name=cola_zi19_zf0L512_N512_Np512
#SBATCH --output=/data70/hoellinger/WIP3M/cola_zi19_zf0L512_N512_Np512/log.log
#SBATCH --error=/data70/hoellinger/WIP3M/cola_zi19_zf0L512_N512_Np512/err.err
#SBATCH --nodes=1 # Number of nodes (value or min-max)
#SBATCH --ntasks=128 # The number of tasks (i.e. cores) per node
#SBATCH --partition=comp,pscomp # Partition name
#SBATCH --time=48:00:00
##SBATCH --exclusive
##SBATCH --nodelist=i26 # Node name
##SBATCH --mem=64G # Memory pool for all cores (see also --mem-per-cpu)
##SBATCH --array=0-10 # Size of the array
##SBATCH --constraint=? # Constraint e.g. specific node type
conda activate p3m
export OMP_NUM_THREADS=64
python $WIP3M_ROOT_PATH"src/wip3m/convergence_cola_expl_parser.py" \
--run_id cola_zi19_zf0L512_N512_Np512 \
--L 512 \
--N 512 \
--Np 512 \
--Npm 1024 \
--n_Tiles 128 \
--z_i 19.0 \
--z_f 0.0 \
--plot_fields True \
--scale_limiter "fac_bend" \
--scaling_pmref 1.2 \
--scaling_pm1 1.0 \
--scaling_pm2 0.8 \
--scaling_spm 1.2 \
--scaling_p3m1 1.2 \
--scaling_p3m2 1.0 \
--scaling_p3m3 0.8
exit 0

154
submit/convergence_baseline_ts.sh
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#!/bin/bash
#SBATCH --job-name=cappel_L1024_Np512
#SBATCH -o /data70/hoellinger/WIP3M/cappel_L1024_Np512/log.log
#SBATCH -e /data70/hoellinger/WIP3M/cappel_L1024_Np512/err.err
#SBATCH --exclusive
#SBATCH -N 1 # Number of nodes (value or min-max)
#SBATCH -n 128 # The number of tasks (i.e. cores) per node
#SBATCH --job-name=obz99_zf19_ts0_L256_N1024_Np512
#SBATCH --output=/data70/hoellinger/WIP3M/obz99_zf19_ts0_L256_N1024_Np512/log.log
#SBATCH --error=/data70/hoellinger/WIP3M/obz99_zf19_ts0_L256_N1024_Np512/err.err
#SBATCH --nodes=1 # Number of nodes (value or min-max)
#SBATCH --ntasks=128 # The number of tasks (i.e. cores) per node
#SBATCH --partition=comp,pscomp # Partition name
#SBATCH --time=24:00:00
##SBATCH --exclusive
##SBATCH --nodelist=i26 # Node name
##SBATCH --mem=64G # Memory pool for all cores (see also --mem-per-cpu)
##SBATCH --array=0-10 # Size of the array
##SBATCH --constraint=i1 # Constraint e.g. specific node
##SBATCH --constraint=? # Constraint e.g. specific node type
conda activate p3m
export OMP_NUM_THREADS=128
python $WIP3M_ROOT_PATH"src/wip3m/convergence_baseline_ts_parser.py" \
--run_id cappel_L1024_Np512 \
--L 1024 \
export OMP_NUM_THREADS=64
python $WIP3M_ROOT_PATH"src/wip3m/compute_limiters_from_baseline_ts.py" \
--run_id obz99_zf19_ts0_L256_N1024_Np512\
--L 256 \
--N 1024 \
--Np 512 \
--Npm 1024 \
--n_Tiles 128 \
--nsteps_pmref 200 \
--nsteps_pm1 100 \
--nsteps_pm2 50 \
--nsteps_cola 20 \
--nsteps_spm 400 \
--nsteps_p3m1 400 \
--nsteps_p3m2 300 \
--nsteps_p3m3 200
# python $WIP3M_ROOT_PATH"src/wip3m/convergence_baseline_ts_parser.py" \
# --run_id cappel_Np512 \
# --L 512 \
# --N 1024 \
# --Np 512 \
# --Npm 1024 \
# --n_Tiles 128 \
# --nsteps_pmref 200 \
# --nsteps_pm1 100 \
# --nsteps_pm2 50 \
# --nsteps_cola 20 \
# --nsteps_spm 400 \
# --nsteps_p3m1 400 \
# --nsteps_p3m2 300 \
# --nsteps_p3m3 200
# python $WIP3M_ROOT_PATH"src/wip3m/convergence_baseline_ts_parser.py" \
# --run_id cappel_loga_Np512 \
# --L 512 \
# --N 1024 \
# --Np 512 \
# --Npm 1024 \
# --n_Tiles 128 \
# --nsteps_pmref 200 \
# --nsteps_pm1 100 \
# --nsteps_pm2 50 \
# --nsteps_cola 20 \
# --nsteps_spm 400 \
# --nsteps_p3m1 400 \
# --nsteps_p3m2 300 \
# --nsteps_p3m3 200 \
# --tsd_pmref 1 \
# --tsd_pm1 1 \
# --tsd_pm2 1 \
# --tsd_cola 1 \
# --tsd_spm 1 \
# --tsd_p3m1 1 \
# --tsd_p3m2 1 \
# --tsd_p3m3 1
# python $WIP3M_ROOT_PATH"src/wip3m/convergence_baseline_ts_parser.py" \
# --run_id brabois_Np512_L1024 \
# --L 1024 \
# --N 1024 \
# --Np 512 \
# --Npm 1024 \
# --n_Tiles 128 \
# --nsteps_pmref 100 \
# --nsteps_pm1 50 \
# --nsteps_pm2 20 \
# --nsteps_cola 20 \
# --nsteps_spm 200 \
# --nsteps_p3m1 200 \
# --nsteps_p3m2 100 \
# --nsteps_p3m3 50
# python $WIP3M_ROOT_PATH"src/wip3m/convergence_baseline_ts_parser.py" \
# --run_id brabois_Np512 \
# --L 512 \
# --N 1024 \
# --Np 512 \
# --Npm 1024 \
# --n_Tiles 128 \
# --nsteps_pmref 100 \
# --nsteps_pm1 50 \
# --nsteps_pm2 20 \
# --nsteps_cola 20 \
# --nsteps_spm 200 \
# --nsteps_p3m1 200 \
# --nsteps_p3m2 100 \
# --nsteps_p3m3 50
# python $WIP3M_ROOT_PATH"src/wip3m/convergence_baseline_ts_parser.py" \
# --run_id brabois_Np256 \
# --L 512 \
# --N 512 \
# --Np 256 \
# --Npm 512 \
# --n_Tiles 64 \
# --nsteps_pmref 200 \
# --nsteps_pm1 100 \
# --nsteps_pm2 50 \
# --nsteps_cola 20 \
# --nsteps_spm 400 \
# --nsteps_p3m1 400 \
# --nsteps_p3m2 300 \
# --nsteps_p3m3 200
# python $WIP3M_ROOT_PATH"src/wip3m/convergence_baseline_ts_parser.py" \
# --run_id brabois_Np256_fine \
# --L 512 \
# --N 1024 \
# --Np 256 \
# --Npm 512 \
# --n_Tiles 64 \
# --nsteps_pmref 200 \
# --nsteps_pm1 100 \
# --nsteps_pm2 50 \
# --nsteps_cola 20 \
# --nsteps_spm 400 \
# --nsteps_p3m1 400 \
# --nsteps_p3m2 300 \
# --nsteps_p3m3 200
--z_i 99.0 \
--z_f 19.0 \
--nsteps_pmref 50 \
--nsteps_pm1 10 \
--nsteps_pm2 5 \
--nsteps_p3m1 50 \
--nsteps_p3m2 20 \
--nsteps_p3m3 10 \
--nsteps_p3m4 5 \
--nsteps_p3m5 3 \
--tsd_pmref 0 \
--tsd_pm1 0 \
--tsd_pm2 0 \
--tsd_p3m1 0 \
--tsd_p3m2 0 \
--tsd_p3m3 0 \
--tsd_p3m4 0 \
--tsd_p3m5 0
exit 0

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submit/custom_convergence_ts_expl.sh Normal file
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#!/bin/bash
#SBATCH --job-name=s2_tiny_zi199_zf0_L64_N256_Np128
#SBATCH --output=/data70/hoellinger/WIP3M/s2_tiny_zi199_zf0_L64_N256_Np128/log.log
#SBATCH --error=/data70/hoellinger/WIP3M/s2_tiny_zi199_zf0_L64_N256_Np128/err.err
#SBATCH --nodes=1 # Number of nodes (value or min-max)
#SBATCH --ntasks=128 # The number of tasks (i.e. cores) per node
#SBATCH --partition=comp,pscomp # Partition name
#SBATCH --time=24:00:00
##SBATCH --exclusive
##SBATCH --nodelist=i26 # Node name
##SBATCH --mem=64G # Memory pool for all cores (see also --mem-per-cpu)
##SBATCH --array=0-10 # Size of the array
##SBATCH --constraint=? # Constraint e.g. specific node type
conda activate p3m
export OMP_NUM_THREADS=64
python $WIP3M_ROOT_PATH"src/wip3m/convergence_custom_ts_expl_parser.py" \
--run_id s2_tiny_zi199_zf0_L64_N256_Np128 \
--L 64 \
--N 256 \
--Np 128 \
--Npm 256 \
--n_Tiles 32 \
--z_i 199.0 \
--z_f 0.0 \
--plot_fields True \
--scale_limiter "fac_H_custom" \
--scaling_pmref 2.0 \
--scaling_pm1 1.5 \
--scaling_pm2 1.2 \
--scaling_spm 2.0 \
--scaling_p3m1 2.0 \
--scaling_p3m2 1.5 \
--scaling_p3m3 1.2
exit 0

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submit/limiters.sh Normal file
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#!/bin/bash
#SBATCH --job-name=s4_tiny_zi13_5_zf0_L128_N256_Np128
#SBATCH --output=/data70/hoellinger/WIP3M/s4_tiny_zi13_5_zf0_L128_N256_Np128/log.log
#SBATCH --error=/data70/hoellinger/WIP3M/s4_tiny_zi13_5_zf0_L128_N256_Np128/err.err
#SBATCH --nodes=1 # Number of nodes (value or min-max)
#SBATCH --ntasks=64 # The number of tasks (i.e. cores) per node
#SBATCH --partition=comp,pscomp # Partition name
#SBATCH --time=24:00:00
##SBATCH --exclusive
##SBATCH --nodelist=i26 # Node name
##SBATCH --mem=64G # Memory pool for all cores (see also --mem-per-cpu)
##SBATCH --array=0-10 # Size of the array
##SBATCH --constraint=? # Constraint e.g. specific node type
conda activate p3m
export OMP_NUM_THREADS=64
python $WIP3M_ROOT_PATH"src/wip3m/convergence_custom_ts_expl_parser.py" \
--run_id s4_tiny_zi13_5_zf0_L128_N256_Np128 \
--L 128 \
--N 256 \
--Np 128 \
--Npm 256 \
--n_Tiles 32 \
--z_i 13.5 \
--z_f 0.0 \
--plot_fields True \
--scale_limiter "fac_bend" \
--scaling_pmref 4.0 \
--scaling_pm1 3.0 \
--scaling_pm2 2.0 \
--scaling_spm 4.0 \
--scaling_p3m1 4.0 \
--scaling_p3m2 3.0 \
--scaling_p3m3 2.0
exit 0

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submit/only_cola_p3m.sh Normal file
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#!/bin/bash
#SBATCH --job-name=colazf08_2_08_07_L512_N1024_Np512
#SBATCH --output=/data70/hoellinger/WIP3M/colazf08_2_08_07_L512_N1024_Np512/log.log
#SBATCH --error=/data70/hoellinger/WIP3M/colazf08_2_08_07_L512_N1024_Np512/err.err
#SBATCH --nodes=1 # Number of nodes (value or min-max)
#SBATCH --ntasks=128 # The number of tasks (i.e. cores) per node
#SBATCH --partition=comp,pscomp # Partition name
#SBATCH --time=24:00:00
##SBATCH --exclusive
##SBATCH --nodelist=i26 # Node name
##SBATCH --mem=64G # Memory pool for all cores (see also --mem-per-cpu)
##SBATCH --array=0-10 # Size of the array
##SBATCH --constraint=? # Constraint e.g. specific node type
conda activate p3m
# export OMP_NUM_THREADS=64
# python $WIP3M_ROOT_PATH"src/wip3m/convergence_cola_p3m_only_expl.py" \
# --run_id cola_H_L128_N128_Np128 \
# --L 128 \
# --N 128 \
# --Np 128 \
# --Npm 256 \
# --n_Tiles 32 \
# --z_i 19.0 \
# --z_f 0.0 \
# --plot_fields True \
# --scale_limiter "fac_H_custom" \
# --scaling_p3m1 1.0 \
# --scaling_p3m2 0.6 \
# --scaling_p3m3 0.3
export OMP_NUM_THREADS=64
python $WIP3M_ROOT_PATH"src/wip3m/convergence_cola_p3m_only_expl.py" \
--run_id colazf08_2_08_07_L512_N1024_Np512 \
--L 512 \
--N 1024 \
--Np 512 \
--Npm 1024 \
--n_Tiles 128 \
--z_i 19.0 \
--z_f 0.8 \
--plot_fields True \
--scale_limiter "fac_bend" \
--scaling_p3m1 2.0 \
--scaling_p3m2 0.8 \
--scaling_p3m3 0.7
exit 0

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submit/plot_limiters_from_baseline_ts.sh Normal file
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#!/bin/bash
#SBATCH --job-name=obz99_zf19_L128_N512_Np256
#SBATCH -o /data70/hoellinger/WIP3M/obz99_zf19_L128_N512_Np256/plots.log
#SBATCH -N 1 # Number of nodes (value or min-max)
#SBATCH -n 128 # The number of tasks (i.e. cores) per node
#SBATCH --partition=comp,pscomp # Partition name
#SBATCH --time=12:00:00
##SBATCH --exclusive
##SBATCH --mem=64G # Memory pool for all cores (see also --mem-per-cpu)
##SBATCH --array=0-10 # Size of the array
##SBATCH --constraint=? # Constraint e.g. specific node type
conda activate p3m
export OMP_NUM_THREADS=64
python $WIP3M_ROOT_PATH"src/wip3m/plot_limiters_from_baseline_ts.py" \
--run_id obz99_zf19_L128_N512_Np256 \
--outdir_suffix plots \
--lpt False
exit 0

16
submit/plots_convergence_baseline_ts.sh
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@ -1,24 +1,24 @@
#!/bin/bash
#SBATCH --job-name=cappel_L1024_Np512
#SBATCH -o /data70/hoellinger/WIP3M/cappel_L1024_Np512/plots.log
#SBATCH --exclusive
#SBATCH --job-name=ob_tsd1_L512_N1024_Np512
#SBATCH -o /data70/hoellinger/WIP3M/ob_tsd1_L512_N1024_Np512/plots.log
#SBATCH -N 1 # Number of nodes (value or min-max)
#SBATCH -n 128 # The number of tasks (i.e. cores) per node
#SBATCH --time=2:00:00
#SBATCH --partition=comp,pscomp # Partition name
#SBATCH --time=12:00:00
##SBATCH --exclusive
##SBATCH --mem=64G # Memory pool for all cores (see also --mem-per-cpu)
##SBATCH --array=0-10 # Size of the array
##SBATCH --constraint=i1 # Constraint e.g. specific node
##SBATCH --constraint=? # Constraint e.g. specific node type
conda activate p3m
export OMP_NUM_THREADS=64
python $WIP3M_ROOT_PATH"src/wip3m/plots_convergence_baseline_ts_parser.py" \
--run_id cappel_L1024_Np512 \
--run_id ob_tsd1_L512_N1024_Np512 \
--outdir_suffix plots \
--lpt True \
--cola False
--lpt False \
--cola True
exit 0