mirror of
https://github.com/smyalygames/FiniteVolumeGPU.git
synced 2025-10-31 20:27:40 +01:00
feat: add having run jupyter notebooks with fixes
This commit is contained in:
Anthony Berg
parent
c485b37219
commit
079bad08b8
156
Autotuning.ipynb
156
Autotuning.ipynb
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678680
EulerTesting.ipynb
678680
EulerTesting.ipynb
File diff suppressed because one or more lines are too long
@ -75,79 +75,15 @@
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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" t_init t_total outfile \\\n",
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"0 13.151470 187.123114 /cluster/work/jobs/5995581/ShallowWaterGPU/mpi... \n",
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"1 17.898452 210.700137 /cluster/work/jobs/6040817/ShallowWaterGPU/mpi... \n",
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"2 19.701864 208.722497 /cluster/work/jobs/5995583/ShallowWaterGPU/mpi... \n",
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"3 22.790222 218.337566 /cluster/work/jobs/5995584/ShallowWaterGPU/mpi... \n",
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"\n",
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" t_sim_init t_nc_write t_full_step t_mpi_halo_exchange \\\n",
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"0 12.316193 92.680975 67.334274 0.0 \n",
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||||
"1 24.190988 97.482013 67.381501 0.0 \n",
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"2 21.237509 98.550311 67.510278 0.0 \n",
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"3 24.143164 102.122138 67.474521 0.0 \n",
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"\n",
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" t_mpi_halo_exchange_download t_mpi_halo_exchange_upload \\\n",
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||||
"0 66.403320 0.039551 \n",
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||||
"1 66.379639 0.048828 \n",
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"2 66.364868 0.041748 \n",
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"3 66.378784 0.043457 \n",
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"\n",
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" t_mpi_halo_exchange_sendreceive t_mpi_step nx ny dt \\\n",
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"0 0.111572 0.025024 20480.0 20480.0 0.000001 \n",
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||||
"1 0.247070 0.032532 20480.0 20480.0 0.000001 \n",
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||||
"2 0.428223 0.029236 20480.0 20480.0 0.000001 \n",
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||||
"3 0.330811 0.030945 20480.0 20480.0 0.000001 \n",
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"\n",
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" n_time_steps slurm_job_id n_cuda_devices n_processes \\\n",
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"0 200.0 5995581.0 1 1 \n",
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"1 200.0 6040817.0 2 2 \n",
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"2 200.0 5995583.0 3 3 \n",
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"3 200.0 5995584.0 4 4 \n",
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"\n",
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" git_hash \\\n",
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"0 aa693a9a468e3d591417342d96128d90c9df7884\\n \n",
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"1 a7a723aca682be4b3c12e6e1f982042aecaa5486\\n \n",
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"2 aa693a9a468e3d591417342d96128d90c9df7884\\n \n",
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"3 528b738dda0dbbc4d61db24ef86811d246c47836\\n \n",
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"\n",
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" git_status \n",
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||||
"0 M Figures.ipynb\\n M conda_environment_hpc.yml... \n",
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"1 M conda_environment_hpc.yml\\n \n",
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"2 M Figures.ipynb\\n M conda_environment_hpc.yml... \n",
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"3 M Figures.ipynb\\n M conda_environment_hpc.yml... \n",
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" t_init t_total outfile \\\n",
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"0 16.962855 204.441923 /cluster/work/jobs/5995585/ShallowWaterGPU/mpi... \n",
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"1 17.445864 203.642585 /cluster/work/jobs/5995586/ShallowWaterGPU/mpi... \n",
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"2 16.334049 201.706250 /cluster/work/jobs/5995587/ShallowWaterGPU/mpi... \n",
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"\n",
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" t_sim_init t_nc_write t_full_step t_mpi_halo_exchange \\\n",
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||||
"0 18.412322 96.080178 71.158770 0.0 \n",
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"1 19.265495 93.089388 72.148323 0.0 \n",
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"2 15.037347 94.247609 74.494262 0.0 \n",
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"\n",
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" t_mpi_halo_exchange_download t_mpi_halo_exchange_upload \\\n",
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"0 66.372192 0.051147 \n",
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"1 66.372192 0.045532 \n",
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"2 66.035767 0.051880 \n",
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"\n",
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" t_mpi_halo_exchange_sendreceive t_mpi_step nx ny dt \\\n",
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||||
"0 4.722656 0.033875 20480.0 20480.0 0.000001 \n",
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"1 5.855469 0.027893 20480.0 20480.0 0.000001 \n",
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"2 8.360107 0.035767 20480.0 20480.0 0.000001 \n",
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"\n",
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" n_time_steps slurm_job_id n_cuda_devices n_processes \\\n",
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"0 200.0 5995585.0 1 2 \n",
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"1 200.0 5995586.0 1 3 \n",
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"2 200.0 5995587.0 1 4 \n",
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"\n",
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" git_hash git_status \n",
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"0 a7a723aca682be4b3c12e6e1f982042aecaa5486\\n M conda_environment_hpc.yml\\n \n",
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"1 a7a723aca682be4b3c12e6e1f982042aecaa5486\\n M conda_environment_hpc.yml\\n \n",
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||||
"2 a7a723aca682be4b3c12e6e1f982042aecaa5486\\n M conda_environment_hpc.yml\\n \n"
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"ename": "FileNotFoundError",
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"evalue": "[Errno 2] No such file or directory: 'output_saga/weak_scaling/2022-06-21T235600/'",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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||||
"\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[0;32mIn[5], line 12\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# DGX-2\u001b[39;00m\n\u001b[1;32m 2\u001b[0m \u001b[38;5;66;03m#weak_scaling_profiling_data = read_profiling_files(\"output_dgx-2/weak_scaling/2022-06-09T134809/\")\u001b[39;00m\n\u001b[1;32m 3\u001b[0m \u001b[38;5;66;03m#weak_scaling_profiling_data = read_profiling_files(\"output_dgx-2/weak_scaling/2022-06-23T154025/\")\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[38;5;66;03m#singlenode_weak_scaling_profiling_data = read_profiling_files(\"output_saga/weak_scaling/2022-06-16T151516/\", drop_multinode=True)\u001b[39;00m\n\u001b[1;32m 11\u001b[0m \u001b[38;5;66;03m#multinode_weak_scaling_profiling_data = read_profiling_files(\"output_saga/weak_scaling/2022-06-16T151516/\", drop_singlenode=True)\u001b[39;00m\n\u001b[0;32m---> 12\u001b[0m singlenode_weak_scaling_profiling_data \u001b[38;5;241m=\u001b[39m \u001b[43mread_profiling_files\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43moutput_saga/weak_scaling/2022-06-21T235600/\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdrop_multinode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[1;32m 13\u001b[0m multinode_weak_scaling_profiling_data \u001b[38;5;241m=\u001b[39m read_profiling_files(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124moutput_saga/weak_scaling/2022-06-21T235600/\u001b[39m\u001b[38;5;124m\"\u001b[39m, drop_singlenode\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m 15\u001b[0m \u001b[38;5;28mprint\u001b[39m(singlenode_weak_scaling_profiling_data)\n",
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"Cell \u001b[0;32mIn[4], line 4\u001b[0m, in \u001b[0;36mread_profiling_files\u001b[0;34m(profile_dir_path, drop_multinode, drop_singlenode)\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mread_profiling_files\u001b[39m(profile_dir_path\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m, drop_multinode\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m, drop_singlenode\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m):\n\u001b[1;32m 2\u001b[0m profiling_data \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mDataFrame()\n\u001b[0;32m----> 4\u001b[0m json_filenames \u001b[38;5;241m=\u001b[39m [file \u001b[38;5;28;01mfor\u001b[39;00m file \u001b[38;5;129;01min\u001b[39;00m \u001b[43mos\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlistdir\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprofile_dir_path\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mif\u001b[39;00m file\u001b[38;5;241m.\u001b[39mendswith(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m_profiling.json\u001b[39m\u001b[38;5;124m\"\u001b[39m)]\n\u001b[1;32m 6\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m(drop_singlenode):\n\u001b[1;32m 7\u001b[0m json_filenames \u001b[38;5;241m=\u001b[39m [file \u001b[38;5;28;01mfor\u001b[39;00m file \u001b[38;5;129;01min\u001b[39;00m json_filenames \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m1_nodes\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m file]\n",
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"\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'output_saga/weak_scaling/2022-06-21T235600/'"
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]
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}
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],
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@ -179,7 +115,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -190,7 +126,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -201,7 +137,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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@ -297,7 +233,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 43,
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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@ -429,7 +365,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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@ -509,7 +445,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 18,
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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@ -550,7 +486,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 19,
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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@ -591,7 +527,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 22,
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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@ -646,7 +582,7 @@
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3.7.12 ('ShallowWaterGPU_HPC')",
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"display_name": "ShallowWaterGPU",
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"language": "python",
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"name": "python3"
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},
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@ -660,12 +596,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.12"
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},
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"vscode": {
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"interpreter": {
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"hash": "cb8fa661d82d1ec49918052345889e962ab1d5f5f5cbd9596ba31c436e222a26"
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}
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"version": "3.9.19"
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}
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},
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"nbformat": 4,
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@ -2,7 +2,7 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": 7,
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 8,
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": 9,
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": 10,
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": 11,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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" t_init t_total outfile \\\n",
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"0 14.511714 181.754037 /work/martinls/232557/ShallowWaterGPU/mpi_out_... \n",
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"1 15.153404 188.838794 /work/martinls/232558/ShallowWaterGPU/mpi_out_... \n",
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"2 15.607471 190.535054 /work/martinls/232589/ShallowWaterGPU/mpi_out_... \n",
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"3 15.332916 188.146165 /work/martinls/232590/ShallowWaterGPU/mpi_out_... \n",
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"4 15.941363 193.263406 /work/martinls/232591/ShallowWaterGPU/mpi_out_... \n",
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"5 16.805506 194.776481 /work/martinls/232592/ShallowWaterGPU/mpi_out_... \n",
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"6 18.009921 198.615131 /work/martinls/232593/ShallowWaterGPU/mpi_out_... \n",
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"7 17.990572 199.018155 /work/martinls/232594/ShallowWaterGPU/mpi_out_... \n",
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"8 19.366701 202.898836 /work/martinls/232595/ShallowWaterGPU/mpi_out_... \n",
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"9 19.890607 205.122811 /work/martinls/232596/ShallowWaterGPU/mpi_out_... \n",
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"10 20.974516 207.287065 /work/martinls/232597/ShallowWaterGPU/mpi_out_... \n",
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"11 21.358601 209.105944 /work/martinls/232598/ShallowWaterGPU/mpi_out_... \n",
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"12 22.813077 211.172879 /work/martinls/232599/ShallowWaterGPU/mpi_out_... \n",
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"13 23.636758 212.722331 /work/martinls/232600/ShallowWaterGPU/mpi_out_... \n",
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"14 23.983026 214.176335 /work/martinls/232601/ShallowWaterGPU/mpi_out_... \n",
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"15 24.996966 216.951382 /work/martinls/232602/ShallowWaterGPU/mpi_out_... \n",
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"\n",
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" t_sim_init t_nc_write t_full_step t_mpi_halo_exchange \\\n",
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"0 10.661480 113.172576 42.137838 0.0 \n",
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"1 11.083883 118.234985 43.038861 0.0 \n",
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"2 11.338173 118.849141 43.378157 0.0 \n",
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"3 11.166394 116.970772 43.362903 0.0 \n",
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"4 11.167876 121.090511 43.696337 0.0 \n",
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"5 11.125732 122.019746 43.435468 0.0 \n",
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"6 11.410769 124.265493 43.508696 0.0 \n",
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"7 11.951049 123.907622 43.785883 0.0 \n",
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"8 11.861801 126.177618 44.059032 0.0 \n",
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"9 12.045421 127.249941 44.542234 0.0 \n",
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"10 12.357193 128.412160 44.133266 0.0 \n",
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"11 12.668238 129.337771 44.327086 0.0 \n",
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"12 12.733378 129.754346 44.384927 0.0 \n",
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"13 12.836023 130.674045 44.157766 0.0 \n",
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"14 13.105231 131.080429 44.535530 0.0 \n",
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"15 13.106097 133.506058 43.892579 0.0 \n",
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"\n",
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" t_mpi_halo_exchange_download t_mpi_halo_exchange_upload \\\n",
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"0 41.482056 0.042358 \n",
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"1 41.775146 0.042603 \n",
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"2 41.762573 0.041992 \n",
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"3 41.740112 0.041138 \n",
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"4 41.728638 0.043213 \n",
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"5 41.725586 0.044678 \n",
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"6 41.731934 0.044067 \n",
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"7 41.630493 0.043823 \n",
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"8 41.810547 0.044678 \n",
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"9 41.643677 0.044678 \n",
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"10 41.851196 0.045288 \n",
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"11 41.774414 0.046509 \n",
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"12 41.790405 0.046509 \n",
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"13 41.642212 0.046387 \n",
|
||||
"14 41.643066 0.045044 \n",
|
||||
"15 41.756714 0.047485 \n",
|
||||
"\n",
|
||||
" t_mpi_halo_exchange_sendreceive t_mpi_step nx ny dt \\\n",
|
||||
"0 0.059082 0.025330 22528.0 22528.0 0.000001 \n",
|
||||
"1 0.402832 0.026062 22528.0 22528.0 0.000001 \n",
|
||||
"2 0.779541 0.026123 22528.0 22528.0 0.000001 \n",
|
||||
"3 1.217041 0.025879 22528.0 22528.0 0.000001 \n",
|
||||
"4 1.111328 0.026855 22528.0 22528.0 0.000001 \n",
|
||||
"5 0.885742 0.027466 22528.0 22528.0 0.000001 \n",
|
||||
"6 0.954346 0.027405 22528.0 22528.0 0.000001 \n",
|
||||
"7 1.984375 0.028320 22528.0 22528.0 0.000001 \n",
|
||||
"8 1.729980 0.027954 22528.0 22528.0 0.000001 \n",
|
||||
"9 1.878174 0.028931 22528.0 22528.0 0.000001 \n",
|
||||
"10 1.613525 0.029053 22528.0 22528.0 0.000001 \n",
|
||||
"11 1.831299 0.028137 22528.0 22528.0 0.000001 \n",
|
||||
"12 1.806152 0.029480 22528.0 22528.0 0.000001 \n",
|
||||
"13 1.662354 0.030518 22528.0 22528.0 0.000001 \n",
|
||||
"14 1.943604 0.029297 22528.0 22528.0 0.000001 \n",
|
||||
"15 0.937256 0.030579 22528.0 22528.0 0.000001 \n",
|
||||
"\n",
|
||||
" n_time_steps slurm_job_id n_cuda_devices n_processes \\\n",
|
||||
"0 200.0 232557.0 1 1 \n",
|
||||
"1 200.0 232558.0 2 2 \n",
|
||||
"2 200.0 232589.0 3 3 \n",
|
||||
"3 200.0 232590.0 4 4 \n",
|
||||
"4 200.0 232591.0 5 5 \n",
|
||||
"5 200.0 232592.0 6 6 \n",
|
||||
"6 200.0 232593.0 7 7 \n",
|
||||
"7 200.0 232594.0 8 8 \n",
|
||||
"8 200.0 232595.0 9 9 \n",
|
||||
"9 200.0 232596.0 10 10 \n",
|
||||
"10 200.0 232597.0 11 11 \n",
|
||||
"11 200.0 232598.0 12 12 \n",
|
||||
"12 200.0 232599.0 13 13 \n",
|
||||
"13 200.0 232600.0 14 14 \n",
|
||||
"14 200.0 232601.0 15 15 \n",
|
||||
"15 200.0 232602.0 16 16 \n",
|
||||
"\n",
|
||||
" git_hash \\\n",
|
||||
"0 aa693a9a468e3d591417342d96128d90c9df7884\\n \n",
|
||||
"1 aa693a9a468e3d591417342d96128d90c9df7884\\n \n",
|
||||
"2 aa693a9a468e3d591417342d96128d90c9df7884\\n \n",
|
||||
"3 aa693a9a468e3d591417342d96128d90c9df7884\\n \n",
|
||||
"4 aa693a9a468e3d591417342d96128d90c9df7884\\n \n",
|
||||
"5 aa693a9a468e3d591417342d96128d90c9df7884\\n \n",
|
||||
"6 aa693a9a468e3d591417342d96128d90c9df7884\\n \n",
|
||||
"7 aa693a9a468e3d591417342d96128d90c9df7884\\n \n",
|
||||
"8 aa693a9a468e3d591417342d96128d90c9df7884\\n \n",
|
||||
"9 aa693a9a468e3d591417342d96128d90c9df7884\\n \n",
|
||||
"10 aa693a9a468e3d591417342d96128d90c9df7884\\n \n",
|
||||
"11 aa693a9a468e3d591417342d96128d90c9df7884\\n \n",
|
||||
"12 aa693a9a468e3d591417342d96128d90c9df7884\\n \n",
|
||||
"13 aa693a9a468e3d591417342d96128d90c9df7884\\n \n",
|
||||
"14 aa693a9a468e3d591417342d96128d90c9df7884\\n \n",
|
||||
"15 aa693a9a468e3d591417342d96128d90c9df7884\\n \n",
|
||||
"\n",
|
||||
" git_status \n",
|
||||
"0 M Figures.ipynb\\n M dgx-2_scaling_benchmark.j... \n",
|
||||
"1 M Figures.ipynb\\n M dgx-2_scaling_benchmark.j... \n",
|
||||
"2 M Figures.ipynb\\n M dgx-2_scaling_benchmark.j... \n",
|
||||
"3 M Figures.ipynb\\n M dgx-2_scaling_benchmark.j... \n",
|
||||
"4 M Figures.ipynb\\n M dgx-2_scaling_benchmark.j... \n",
|
||||
"5 M Figures.ipynb\\n M dgx-2_scaling_benchmark.j... \n",
|
||||
"6 M Figures.ipynb\\n M dgx-2_scaling_benchmark.j... \n",
|
||||
"7 M Figures.ipynb\\n M dgx-2_scaling_benchmark.j... \n",
|
||||
"8 M Figures.ipynb\\n M dgx-2_scaling_benchmark.j... \n",
|
||||
"9 M Figures.ipynb\\n M dgx-2_scaling_benchmark.j... \n",
|
||||
"10 M Figures.ipynb\\n M dgx-2_scaling_benchmark.j... \n",
|
||||
"11 M Figures.ipynb\\n M dgx-2_scaling_benchmark.j... \n",
|
||||
"12 M Figures.ipynb\\n M dgx-2_scaling_benchmark.j... \n",
|
||||
"13 M Figures.ipynb\\n M dgx-2_scaling_benchmark.j... \n",
|
||||
"14 M Figures.ipynb\\n M dgx-2_scaling_benchmark.j... \n",
|
||||
"15 M Figures.ipynb\\n M dgx-2_scaling_benchmark.j... \n"
|
||||
"ename": "FileNotFoundError",
|
||||
"evalue": "[Errno 2] No such file or directory: 'output_dgx-2/weak_scaling/2022-06-23T154025/'",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
||||
"\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)",
|
||||
"Cell \u001b[0;32mIn[11], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# DGX-2\u001b[39;00m\n\u001b[1;32m 2\u001b[0m \u001b[38;5;66;03m#weak_scaling_profiling_data = read_profiling_files(\"output_dgx-2/weak_scaling/2022-06-09T134809/\")\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m weak_scaling_profiling_data \u001b[38;5;241m=\u001b[39m \u001b[43mread_profiling_files\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43moutput_dgx-2/weak_scaling/2022-06-23T154025/\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 5\u001b[0m \u001b[38;5;66;03m# HGX\u001b[39;00m\n\u001b[1;32m 6\u001b[0m \u001b[38;5;66;03m#weak_scaling_profiling_data = read_profiling_files(\"output_hgx/weak_scaling/2022-06-16T162931/\")\u001b[39;00m\n\u001b[1;32m 7\u001b[0m \u001b[38;5;66;03m##weak_scaling_profiling_data = read_profiling_files(\"output_hgx/weak_scaling/2022-06-16T170630/\")\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[38;5;66;03m#singlenode_weak_scaling_profiling_data = read_profiling_files(\"output_saga/weak_scaling/2022-06-16T151516/\", drop_multinode=True)\u001b[39;00m\n\u001b[1;32m 11\u001b[0m \u001b[38;5;66;03m#multinode_weak_scaling_profiling_data = read_profiling_files(\"output_saga/weak_scaling/2022-06-16T151516/\", drop_singlenode=True)\u001b[39;00m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;28mprint\u001b[39m(weak_scaling_profiling_data)\n",
|
||||
"Cell \u001b[0;32mIn[10], line 4\u001b[0m, in \u001b[0;36mread_profiling_files\u001b[0;34m(profile_dir_path, drop_multinode, drop_singlenode)\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mread_profiling_files\u001b[39m(profile_dir_path\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m, drop_multinode\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m, drop_singlenode\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m):\n\u001b[1;32m 2\u001b[0m profiling_data \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mDataFrame()\n\u001b[0;32m----> 4\u001b[0m json_filenames \u001b[38;5;241m=\u001b[39m [file \u001b[38;5;28;01mfor\u001b[39;00m file \u001b[38;5;129;01min\u001b[39;00m \u001b[43mos\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlistdir\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprofile_dir_path\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mif\u001b[39;00m file\u001b[38;5;241m.\u001b[39mendswith(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m_profiling.json\u001b[39m\u001b[38;5;124m\"\u001b[39m)]\n\u001b[1;32m 6\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m(drop_singlenode):\n\u001b[1;32m 7\u001b[0m json_filenames \u001b[38;5;241m=\u001b[39m [file \u001b[38;5;28;01mfor\u001b[39;00m file \u001b[38;5;129;01min\u001b[39;00m json_filenames \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m1_nodes\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m file]\n",
|
||||
"\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'output_dgx-2/weak_scaling/2022-06-23T154025/'"
|
||||
]
|
||||
}
|
||||
],
|
||||
@ -233,7 +114,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@ -244,7 +125,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@ -255,7 +136,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 8,
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@ -395,7 +276,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 9,
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@ -531,7 +412,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 34,
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@ -606,7 +487,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 18,
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@ -647,7 +528,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 19,
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@ -694,7 +575,7 @@
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3.7.12 ('ShallowWaterGPU')",
|
||||
"display_name": "ShallowWaterGPU",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
@ -708,12 +589,7 @@
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.7.12"
|
||||
},
|
||||
"vscode": {
|
||||
"interpreter": {
|
||||
"hash": "5ec8a684eb355694b427c525a814c01edbb663f485e9b356374be21a7726d858"
|
||||
}
|
||||
"version": "3.9.19"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
|
||||
File diff suppressed because one or more lines are too long
Loading…
x
Reference in New Issue
Block a user