implemented COLA with P3M force evaluation and custom time stepping for P3M
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submit/only_cola_p3m.sh
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submit/only_cola_p3m.sh
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#!/bin/bash
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#SBATCH --job-name=colazf08_2_08_07_L512_N1024_Np512
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#SBATCH --output=/data70/hoellinger/WIP3M/colazf08_2_08_07_L512_N1024_Np512/log.log
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#SBATCH --error=/data70/hoellinger/WIP3M/colazf08_2_08_07_L512_N1024_Np512/err.err
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#SBATCH --nodes=1 # Number of nodes (value or min-max)
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#SBATCH --ntasks=128 # The number of tasks (i.e. cores) per node
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#SBATCH --partition=comp,pscomp # Partition name
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#SBATCH --time=24:00:00
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##SBATCH --exclusive
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##SBATCH --nodelist=i26 # Node name
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##SBATCH --mem=64G # Memory pool for all cores (see also --mem-per-cpu)
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##SBATCH --array=0-10 # Size of the array
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##SBATCH --constraint=? # Constraint e.g. specific node type
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conda activate p3m
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# export OMP_NUM_THREADS=64
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# python $WIP3M_ROOT_PATH"src/wip3m/convergence_cola_p3m_only_expl.py" \
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# --run_id cola_H_L128_N128_Np128 \
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# --L 128 \
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# --N 128 \
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# --Np 128 \
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# --Npm 256 \
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# --n_Tiles 32 \
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# --z_i 19.0 \
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# --z_f 0.0 \
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# --plot_fields True \
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# --scale_limiter "fac_H_custom" \
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# --scaling_p3m1 1.0 \
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# --scaling_p3m2 0.6 \
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# --scaling_p3m3 0.3
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export OMP_NUM_THREADS=64
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python $WIP3M_ROOT_PATH"src/wip3m/convergence_cola_p3m_only_expl.py" \
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--run_id colazf08_2_08_07_L512_N1024_Np512 \
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--L 512 \
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--N 1024 \
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--Np 512 \
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--Npm 1024 \
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--n_Tiles 128 \
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--z_i 19.0 \
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--z_f 0.8 \
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--plot_fields True \
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--scale_limiter "fac_bend" \
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--scaling_p3m1 2.0 \
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--scaling_p3m2 0.8 \
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--scaling_p3m3 0.7
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exit 0
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