minor

submit/actual_cola_p3m.sh

@@ -1,7 +1,7 @@
 #!/bin/bash
-#SBATCH --job-name=Stockholm_colap3m_LNNp64
-#SBATCH --output=/data70/hoellinger/WIP3M/Stockholm_colap3m_LNNp64/log.log
-#SBATCH --error=/data70/hoellinger/WIP3M/Stockholm_colap3m_LNNp64/err.err
+#SBATCH --job-name=Stockholm_CV_colap3m_L80_N80_Np160
+#SBATCH --output=/data70/hoellinger/WIP3M/Stockholm_CV_colap3m_L80_N80_Np160/log.log
+#SBATCH --error=/data70/hoellinger/WIP3M/Stockholm_CV_colap3m_L80_N80_Np160/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
@@ -15,22 +15,39 @@
 
 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" \
-    --run_id Stockholm_colap3m_LNNp64 \
-    --L 64 \
-    --N 64 \
-    --Np 64 \
-    --Npm 128 \
-    --n_Tiles 16 \
+    --run_id Stockholm_CV_colap3m_L80_N80_Np160 \
+    --L 80 \
+    --N 80 \
+    --Np 160 \
+    --Npm 320 \
+    --n_Tiles 48 \
     --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
+    --mod_val_p3m1 0.02 \
+    --mod_val_p3m2 0.03 \
+    --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
 # python $WIP3M_ROOT_PATH"src/wip3m/convergence_cola_p3m_only_expl.py" \