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Tristan Hoellinger 2025-06-24 15:44:54 +02:00
parent 09bb1c9b6f
commit 924da7744d
3 changed files with 1884 additions and 2160 deletions
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3951
notebooks/12_output_gravepot_momenta_custom_ts.ipynb
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43
submit/actual_cola_p3m.sh
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@ -1,7 +1,7 @@
#!/bin/bash #!/bin/bash
#SBATCH --job-name=Stockholm_colap3m_LNNp64 #SBATCH --job-name=Stockholm_CV_colap3m_L80_N80_Np160
#SBATCH --output=/data70/hoellinger/WIP3M/Stockholm_colap3m_LNNp64/log.log #SBATCH --output=/data70/hoellinger/WIP3M/Stockholm_CV_colap3m_L80_N80_Np160/log.log
#SBATCH --error=/data70/hoellinger/WIP3M/Stockholm_colap3m_LNNp64/err.err #SBATCH --error=/data70/hoellinger/WIP3M/Stockholm_CV_colap3m_L80_N80_Np160/err.err
#SBATCH --nodes=1 # Number of nodes (value or min-max) #SBATCH --nodes=1 # Number of nodes (value or min-max)
#SBATCH --ntasks=128 # The number of tasks (i.e. cores) per node #SBATCH --ntasks=128 # The number of tasks (i.e. cores) per node
#SBATCH --partition=comp,pscomp # Partition name #SBATCH --partition=comp,pscomp # Partition name
@ -15,22 +15,39 @@
conda activate p3m conda activate p3m
export OMP_NUM_THREADS=32 export OMP_NUM_THREADS=64
python $WIP3M_ROOT_PATH"src/wip3m/convergence_cola_p3m_only_expl.py" \ python $WIP3M_ROOT_PATH"src/wip3m/convergence_cola_p3m_only_expl.py" \
--run_id Stockholm_colap3m_LNNp64 \ --run_id Stockholm_CV_colap3m_L80_N80_Np160 \
--L 64 \ --L 80 \
--N 64 \ --N 80 \
--Np 64 \ --Np 160 \
--Npm 128 \ --Npm 320 \
--n_Tiles 16 \ --n_Tiles 48 \
--z_i 19.0 \ --z_i 19.0 \
--z_f 0.0 \ --z_f 0.0 \
--plot_fields True \ --plot_fields True \
--rescale_limiter "fac_p3m_fit" \ --rescale_limiter "fac_p3m_fit" \
--use_p3m_fit True \ --use_p3m_fit True \
--mod_val_p3m1 0.03 \ --mod_val_p3m1 0.02 \
--mod_val_p3m2 0.07 \ --mod_val_p3m2 0.03 \
--mod_val_p3m3 0.15 --mod_val_p3m3 0.05
# export OMP_NUM_THREADS=32
# python $WIP3M_ROOT_PATH"src/wip3m/convergence_cola_p3m_only_expl.py" \
# --run_id Stockholm_colap3m_LNNp64_refined2 \
# --L 64 \
# --N 64 \
# --Np 64 \
# --Npm 128 \
# --n_Tiles 16 \
# --z_i 19.0 \
# --z_f 0.0 \
# --plot_fields True \
# --rescale_limiter "fac_p3m_fit" \
# --use_p3m_fit True \
# --mod_val_p3m1 0.01 \
# --mod_val_p3m2 0.015 \
# --mod_val_p3m3 0.15
# export OMP_NUM_THREADS=64 # export OMP_NUM_THREADS=64
# python $WIP3M_ROOT_PATH"src/wip3m/convergence_cola_p3m_only_expl.py" \ # python $WIP3M_ROOT_PATH"src/wip3m/convergence_cola_p3m_only_expl.py" \

50
submit/stockholm_tests.sh Normal file
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#!/bin/bash
#SBATCH --job-name=tStockholm_colap3m_LNNp180_fewts
#SBATCH --output=/data70/hoellinger/WIP3M/tStockholm_colap3m_LNNp180_fewts/log.log
#SBATCH --error=/data70/hoellinger/WIP3M/tStockholm_colap3m_LNNp180_fewts/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 tStockholm_colap3m_LNNp180_fewts \
--L 180 \
--N 180 \
--Np 180 \
--Npm 360 \
--n_Tiles 60 \
--z_i 19.0 \
--z_f 0.0 \
--plot_fields True \
--rescale_limiter "fac_p3m_fit" \
--use_p3m_fit True \
--mod_val_p3m1 0.03 \
--mod_val_p3m2 0.15 \
--mod_val_p3m3 0.2
# export OMP_NUM_THREADS=64
# python $WIP3M_ROOT_PATH"src/wip3m/convergence_cola_p3m_only_expl.py" \
# --run_id tStockholm_colap3m_LNNp180 \
# --L 180 \
# --N 180 \
# --Np 180 \
# --Npm 360 \
# --n_Tiles 60 \
# --z_i 19.0 \
# --z_f 0.0 \
# --plot_fields True \
# --rescale_limiter "fac_p3m_fit" \
# --use_p3m_fit True \
# --mod_val_p3m1 0.03 \
# --mod_val_p3m2 0.07 \
# --mod_val_p3m3 0.15