From f19256f5e998bd8419207e9f46698fa1a053fe97 Mon Sep 17 00:00:00 2001 From: Ilektra Christidi Date: Wed, 1 May 2024 18:14:06 +0100 Subject: [PATCH 1/5] Fix bug with garbled config being exported after scaling added in streamlit GUI. --- post-processing/streamlit_post_processing.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/post-processing/streamlit_post_processing.py b/post-processing/streamlit_post_processing.py index 9a8f2ac1..c6426a02 100644 --- a/post-processing/streamlit_post_processing.py +++ b/post-processing/streamlit_post_processing.py @@ -320,7 +320,7 @@ def update_axes(): config.y_axis["scaling"] = {"column": {"name": y_scaling_column, "series": (state.config.series_filters.index(y_scaling_series) if y_scaling_series else None), - "x_value": y_scaling_x}} + "x_value": str(y_scaling_x)}} config.column_types[y_scaling_column] = state.y_axis_scaling_type config.parse_scaling() From a44de86988547b8504f15c83228bf8c4bd822d32 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Mos=C3=A8=20Giordano?= Date: Thu, 2 May 2024 15:45:10 +0100 Subject: [PATCH 2/5] Delete `benchmarks/apps/legacy` directory (#318) --- benchmarks/apps/legacy/README.md | 3 - benchmarks/apps/legacy/castep/README.md | 32 - benchmarks/apps/legacy/castep/castep.ipynb | 789 - .../apps/legacy/castep/downloads/.empty | 0 .../apps/legacy/castep/reframe_castep.py | 114 - benchmarks/apps/legacy/gromacs/README.md | 60 - benchmarks/apps/legacy/gromacs/build.sh | 43 - benchmarks/apps/legacy/gromacs/gromacs.ipynb | 2034 - .../apps/legacy/gromacs/reframe_gromacs.py | 126 - benchmarks/apps/legacy/hpcg/README.md | 55 - benchmarks/apps/legacy/hpcg/reframe_hpcg.py | 90 - .../apps/legacy/nxnlatbw/nxnlatbw.ipynb | 53437 ---------------- .../apps/legacy/nxnlatbw/reframe_nxnlatbw.py | 34 - .../apps/legacy/nxnlatbw/src/mpi_nxnlatbw.c | 148 - benchmarks/apps/legacy/openfoam/README.md | 30 - .../downloads/Motorbike_bench_template.tar.gz | Bin 8947 -> 0 bytes .../apps/legacy/openfoam/openfoam.ipynb | 656 - .../apps/legacy/openfoam/reframe_openfoam.py | 108 - benchmarks/apps/legacy/sysinfo/README.md | 11 - .../apps/legacy/sysinfo/reframe_sysinfo.py | 61 - benchmarks/apps/legacy/sysinfo/sysinfo.ipynb | 743 - 21 files changed, 58574 deletions(-) delete mode 100644 benchmarks/apps/legacy/README.md delete mode 100644 benchmarks/apps/legacy/castep/README.md delete mode 100644 benchmarks/apps/legacy/castep/castep.ipynb delete mode 100644 benchmarks/apps/legacy/castep/downloads/.empty delete mode 100644 benchmarks/apps/legacy/castep/reframe_castep.py delete mode 100644 benchmarks/apps/legacy/gromacs/README.md delete mode 100755 benchmarks/apps/legacy/gromacs/build.sh delete mode 100644 benchmarks/apps/legacy/gromacs/gromacs.ipynb delete mode 100644 benchmarks/apps/legacy/gromacs/reframe_gromacs.py delete mode 100644 benchmarks/apps/legacy/hpcg/README.md delete mode 100644 benchmarks/apps/legacy/hpcg/reframe_hpcg.py delete mode 100644 benchmarks/apps/legacy/nxnlatbw/nxnlatbw.ipynb delete mode 100644 benchmarks/apps/legacy/nxnlatbw/reframe_nxnlatbw.py delete mode 100644 benchmarks/apps/legacy/nxnlatbw/src/mpi_nxnlatbw.c delete mode 100644 benchmarks/apps/legacy/openfoam/README.md delete mode 100644 benchmarks/apps/legacy/openfoam/downloads/Motorbike_bench_template.tar.gz delete mode 100644 benchmarks/apps/legacy/openfoam/openfoam.ipynb delete mode 100644 benchmarks/apps/legacy/openfoam/reframe_openfoam.py delete mode 100644 benchmarks/apps/legacy/sysinfo/README.md delete mode 100644 benchmarks/apps/legacy/sysinfo/reframe_sysinfo.py delete mode 100644 benchmarks/apps/legacy/sysinfo/sysinfo.ipynb diff --git a/benchmarks/apps/legacy/README.md b/benchmarks/apps/legacy/README.md deleted file mode 100644 index 0faf7513..00000000 --- a/benchmarks/apps/legacy/README.md +++ /dev/null @@ -1,3 +0,0 @@ -# Legacy applications - -These applications were part of the original StackHPC benchmark suite, but they are not currently supported in the ExCALIBUR benchmarks due to a lack of resources. This may change at a later date. \ No newline at end of file diff --git a/benchmarks/apps/legacy/castep/README.md b/benchmarks/apps/legacy/castep/README.md deleted file mode 100644 index 56adf476..00000000 --- a/benchmarks/apps/legacy/castep/README.md +++ /dev/null @@ -1,32 +0,0 @@ -# CASTEP - -Performance tests of the material property code [CASTEP](http://www.castep.org/) using CASTEP-provided benchmarks: -- Small benchmark: [TiN](http://www.castep.org/CASTEP/TiN) - > a 32-atom TiN surface, with an adsorbed H atom and a vacuum gap. There are 8 k-points, so it should scale well to 8 cores; beyond that, it relies on CASTEP's other parallelisation strategies. -- Medium benchmark: [Al3x3](http://www.castep.org/CASTEP/Al3x3) - > a 270-atom sapphire surface, with a vacuum gap. There are only 2 k-points, so it is a good test of the performance of CASTEP's other parallelisation strategies. -- Large benchmark: [DNA](http://www.castep.org/CASTEP/DNA) - > a 1356-atom simulation of a DNA strand (poly-A) with counter-ions, in a large simulation box. There is only 1 k-point (the gamma-point), so, like the Crambin test, its parallel performance is reliant on CASTEP's other parallelisation strategies. - -(descriptions from the CASTEP [benchmarks page](http://www.castep.org/CASTEP/Benchmarks)) - -Each benchmark is run on a range of number of nodes, from 1 up to all available. Each run uses as many mpi tasks (processes) per node as there are physical cores. - -The following performance variables are captured: -- 'total_time' (s): Total time required for the simulation, as reported by CASTEP -- 'peak_mem' (kB): Peak memory usage, as reported by CASTEP -- 'parallel_efficiency' (%): Parallel efficiency, as reported by CASTEP -- 'runtime_real' (s): Wallclock time reported by `time` for entire MPI program start to finish (i.e. may include additional setup/teardown time not captured in 'total_time'). - -# Usage - -Run using e.g.: - - cd hpc-tests - conda activate hpc-tests - reframe/bin/reframe -C reframe_config.py -c apps/castep/ --run --performance-report - -Run a specific test by appending e.g.: - - --tag Al3x3 - diff --git a/benchmarks/apps/legacy/castep/castep.ipynb b/benchmarks/apps/legacy/castep/castep.ipynb deleted file mode 100644 index 435b4089..00000000 --- a/benchmarks/apps/legacy/castep/castep.ipynb +++ /dev/null @@ -1,789 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# CASTEP\n", - "\n", - "Results from performance tests of the material property code [CASTEP](http://www.castep.org/) using CASTEP-provided benchmarks:\n", - "- Small benchmark: [TiN](http://www.castep.org/CASTEP/TiN)\n", - " > a 32-atom TiN surface, with an adsorbed H atom and a vacuum gap. There are 8 k-points, so it should scale well to 8 cores; beyond that, it relies on CASTEP's other parallelisation strategies.\n", - "- Medium benchmark: [Al3x3](http://www.castep.org/CASTEP/Al3x3)\n", - " > a 270-atom sapphire surface, with a vacuum gap. There are only 2 k-points, so it is a good test of the performance of CASTEP's other parallelisation strategies.\n", - "- Large benchmark: [DNA](/home/hpcbras1/hpc-tests/apps/castep/README.md)\n", - " > a 1356-atom simulation of a DNA strand (poly-A) with counter-ions, in a large simulation box. There is only 1 k-point (the gamma-point), so, like the Crambin test, its parallel performance is reliant on CASTEP's other parallelisation strategies.\n", - "\n", - "(descriptions from the CASTEP [benchmarks page](http://www.castep.org/CASTEP/Benchmarks))" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "# Plotting setup\n", - "%matplotlib inline\n", - "import matplotlib.pyplot as plt\n", - "from matplotlib import ticker\n", - "from IPython.display import display, HTML\n", - "\n", - "import pandas as pd\n", - "import os, sys\n", - "from pprint import pprint\n", - "sys.path.extend(('../../reframe', '../../')) # the `modules` package imports `reframe` so need that in sys.modules\n", - "import modules" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Performance vs number of nodes\n", - "\n", - "Each benchmark is run on a range of number of nodes, from 1 up to all available. Each run uses as many mpi tasks (processes) per node as there are physical cores.\n", - "\n", - "The plots show results for the most-recent run on each system/partition/environment combination, against the number of nodes used for each run. Parameters are:\n", - "- 'total_time' (s): Total time required for the simulation, as reported by CASTEP\n", - "- 'parallel_efficiency' (%): Parallel efficiency, as reported by CASTEP\n", - "- 'runtime_real' (s): Wallclock time reported by `time` for entire MPI program start to finish (i.e. may include additional setup/teardown time not captured in 'total_time').\n" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Castep_TiN: total_time\n" - ] - }, - { - "data": { - "text/html": [ - "
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\n", 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\n", 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\n", 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\n", 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WoUOHcvr06Xz1vXtaLpeLhx56yNMW9495ExMTufzyy4mLi6NTp06kpKRQpUoVrrjiCiIjI3Ot79dff+WSSy6hbt26AFx99dWe16SgWPfs2UPz5s258847ad26NSNGjGD58uV07dqVZs2asXbtWsDqXd5yyy307NmTZs2a8c477+RrQ0nEVbVqVc/92bNnM2rUKAAOHjzIkCFDiIuLIy4ujjVr1pCYmEhsbCzp6emcOnWKVq1asWXLFp/rVcqad7oTMlJg2AyoVLXoZUpBacxBvQp8aYwZKiIRQGXgb8AKY8xzIjIBmAA8AvQDmtl/nYEpQGcRqQU8AcQDBlgvIguNMcfONqgnF23l530nAWsHGBoamuv5Db8fJ9OVk6ssLcvFw7M38d+1v/tcZ8uG1XjiT60K3a6vS09ceeWVLFmyhEaNGnmGlqZMmULlypXZtGkTmzZton379rnW06dPH9auXUu/fv08w0hvvfUWAGPGjOGpp56ievXqbN68GYBjx45x+PBh7rrrLhYvXkybNm04evRovviuuOIKn5fBcHv99ddZunQp8+fPp1KlSowePZq33nqLZs2asWbNGu655x5WrlxZ6Gvwyy+/MG3aNLp27crtt9/Om2++yUMPPVRg/alTp7J79242bNhAWFgYR48eJTMzkxtvvJFPP/2Ujh07cvLkSaKiogpcx8UXX8z27dvZs2cPMTExzJ8/n8zMzELjBNi5cyezZs1i6tSpdOzYkf/85z989913LFy4kGeffZb58+cDsGnTJlavXs2pU6do164dAwYMKHLd5xKXt3HjxnHllVcyb948XC4X+/fvJyYmhoEDB/L444+TlpbGzTff7NfQqqqgvnnBGt4b9AbUb+l0NB4BTVAiUg3oDowCMMZkApkiMgjoYVebASRgJahBwAfGGAOstntfDey6y4wxR+31LgP6Av8NVOx5k1NR5f7ydemJrl27MmrUKG644Qauu+46AL755hvGjRsHQGxsLLGxuX8kt2TJEtLT0xkxYgQrV67kmmuuYcyYMZ7nly9fzieffOJ5XLNmTRYtWkT37t1p0qSJZ9t5JScn+7wMBsCHH37o2YmGh4eTmprK999/z7Bhwzx1MjIyinwNGjduTNeuXQG4+eabee211wpNUMuXL2fMmDGEhYV54t68eTMNGjSgY8eOwJleZUFq1qzJlClTuPHGGwkJCeHyyy/n119/LTLWpk2b0qZNG8A6p2CvXr0QEdq0acOePXs89QYNGkRUVBRRUVFcddVVrF27lrZt2xa5/rONy9vKlSv54IMPAAgNDaV6dess0xMnTqRjx45ERkby2muvFWudqgL5NQESnoO4P0PbEU5Hk0uge1AXAoeB90QkDlgP3A/UN8bsBzDG7BcR91k/GwFJXssn22UFleciIqOB0QD169cnISEh1/PVq1f3XKH1wR7ne8p99aB6/3sN+0/m39k2qFaJd28q+Juoe/0FSUtLIzMzM1e9F154gcTERJYsWUJcXBzfffcd2dnZpKWleerl5ORw6tSpfOu/5pprmDVrFpdddlmucpfLla/+6dOnyc7OxuVy5SpPT0/3xHTPPfcwduxY+vfvz7fffss//vEPUlJSyMjI4NJLL2Xz5s1s376dJk2acPLkSapXr863336ba9vHjx/3DFX269ePxx9/HGMMqampnjOSu7d/+vRpXC4XK1eu5IEHHgDgscceo1WrVuTk5JCSkkJWVlau1wKsIUz38754t8nd3h49etCjRw8A3nvvPVwuV5GxhoeHe7bhcrk82zx9+rRn/RkZGRhjPPWysrJIT0/3GaN3XG7+xiUinuWOHTtGVlYWKSkpnm27e17u9h48eJCTJ0+SkZHB4cOHqVKlis/XqrjS09Pz/W85KTU1tUzFE2gl2d6IjKPEr3uArMoxrK82mJyvvy6R9ZaUQCeoMKA9cJ8xZo2IvIo1nFcQX7NyppDy3AXGTAWmAsTHxxv3P73btm3biI7Of0x/SkpKvvJH+rXg0bmbScs6c4RcVHgoj/Rr4XMd/howYABDhgxhwoQJ1K5dm6NHj3Ls2DF69uxJz549Wbp0KcePH6dnz57MmzePAQMGsGXLFrZs2UKVKlU8O6kGDRqQnZ3NV199Rbdu3fLF1LdvX95//31eeeUVAM82HnroIZKSkjxDfLVq1SIyMpKIiAiio6NJTU3l4osvJjo6mlmzZhEaGkp0dDSVKlWiU6dOjBs3jptuuskzJHnhhRfy5ZdfMmzYMIwxbNq0ibi4ODZt2pQrHhHxzKEkJSWxZcsWunTpwoIFC+jRowc9e/bMtcyePXsICQkhOjqa/v3788EHH9C/f3/PEF+HDh04ePAg27dvp2PHjqSkpBAVFeXpZXm3yf3+Hjp0iHr16nHs2DGmT5/OzJkzqVGjRqGxumMACA8PJyoqiujoaKpWrep5rlKlSsyfP59JkyZx6tQpVq1axUsvvURmZmau5fPG5eZvXPXr1yc5OZlLL72UL7/8kujoaKKjo7n66qv56KOPeOCBB3C5XBw4cIBGjRoxYsQInnnmGXbv3s3TTz/N66+/XvwPrA+RkZGei0eWBQkJCeT9Xw9mJdbeHBd8MAjIImLUbLrXa37u6yxhgU5QyUCyMWaN/Xg2VoI6KCIN7N5TA+CQV/3GXsvHAPvs8h55yhMCGDeD21kdtBeW/MK+42k0rBHF+D6XesrPlq9LT5w8eZIdO3ZgjKFXr17ExcVx6aWXcttttxEbG0vbtm3p1KkTAKdOnWLgwIFkZGTgcrno2bOnZ2jPew7q8ccf595776V169aEhobyxBNPcN111zF16lRuvvlmAOrVq8eyZctyxVfQZTDcrrjiCl588UUGDBjAsmXL+Pjjj/nLX/7C008/TVZWFsOHDycurvBrxbRo0YIZM2Zw991306xZM/7yl78UWv/OO+/kf//7H7GxsYSHh3PXXXcxduxYPv30U+677z7S0tKIiopi+fLlVK1a1dO7y8zMZP78+cybN4+OHTty//3389NPPwHW8Ncll1zi57tWtE6dOjFgwAB+//13/v73v9OwYcNcQ4BAvriWLl1Ky5Yt/Y7rueee49prr6Vx48a0bt3a0xt99dVXGT16NNOmTSM0NJQXX3yRFStWEBYWxk033YTL5eLyyy9n5cqV9OzZs8TarMq5hOdgz7cweAqUweQEINZ0TwA3IPItcKcx5hcRmQS4xxmOeB0kUcsY87CIDADGAv2xDpJ4zRjTyT5IYj1WbwzgR6CDe07Kl/j4eOP+3ZDbtm3baNGiRb66vnpQwUzbW7ImTZpE1apVC51HK02Bbm9B/0dO0R7UWdi1Ej68zppzGvxGicR1LkRkvTEmPm95aRzFdx/wsX0E36/AbViHt88UkTuA3wH3LPtirOS0Ezht18UYc1REngIS7XqTC0tOSimlCnByP8y5C+o2h/4vOB1NoQKeoIwxG7EOD88r349w7KP37i1gPdOB6SUbnVLnbtKkSU6HoJR/XNkw5w7ISoMbZkBEZacjKpSei08ppSqKhH/Ab6tgyFSoe6nT0RRJT3WklFIVwc7l1olg290CcTc6HY1fNEEppVSwO7nPunR7vZZlft7JmyYopZQKZq5s6ySwWekw7H0IL/iUYGWNJqhyorxfbqM0vPXWW55T/hTHrFmzaNWqFSEhIXj/NCEzM9Nzwt24uLgCf72/bt06z2mpzpV3G841LqUA+Opp+P17+NOrULfkfvtXGvQgicJsmgkrJsOJZKgeA70mQuwNTkfFzJkzqVatGsYYhg4dyqxZsxg+fLjTYfnN16mlSoL3uQiLo3Xr1sydO5e77747V7n7rOSbN2/m0KFD9OvXj8TEREJCcn+vi4+PJz7e14GqxefdhnONSyl2LIPvXoYOoyB2WJHVyxr9RBdk00xYNA5OJAHGul00zio/RxXxchtVq1Zl4sSJdO7cmR9++IEVK1bQrl072rRpw+233+45yayvS2i4XC7Gjx9Px44diY2N5e233/a5De9e3s6dO7n66quJi4ujW7du7Nq1C4Dnn3/e0/OYMME661aLFi249NL8RzT9/PPPnteoXr161KhRg7w//gbrh5PXXnutJ4aRI0fSu3dvmjRpwty5c3n44Ydp06YNffv2JSsrC7DOKvHII4/QqVMnOnXqxM6dO/O14Vzjytszvvbaaz29rS+//JL27dvn+hyMGzeOyZMnA9bJiLt3705OzrmdHFk56ESyNe9Uvw30fc7paM5Kxe1BfTEBDliXoohyZUNonpciORFceU4Wm5UGC8bC+hm+13leG+hX+Aehol5u49SpU7Ru3ZrJkyeTnp5Os2bNWLFiBZdccgm33norU6ZM4Z577vF5CY1p06ZRvXp1EhMTycjIoGvXrvTu3TvXmdbzGjFiBBMmTGDIkCGeE6V+8cUXzJ8/nzVr1lC5cmWf7fcWFxfHggULGD58OElJSaxfv56kpCTPaacKsmvXLr766it+/vlnunTpwpw5c3j++ecZMmQIn3/+OYMHDwasLxpr167lgw8+4IEHHuCzzz4rdL3nGpeb+3PwzTff0LRpU8/r8Nxzz9GxY0e6devGuHHjWLx4sfbKyitXFsy+HVyZ5W7eyVvFTVBFyZuciir3U0W93EZoaCjXX389YF0PqmnTpp5zzo0cOZI33niDXr16+byExtKlS9m0aZPn6rQnTpxgx44dBSaolJQU9u7dy5AhQwDr5KaVK1dm+fLl3HbbbVSuXLnA9nu7/fbb2bZtG/Hx8VxwwQVcfvnlnpPRFqZfv36Eh4fTpk0bXC4Xffv2Bch3iY4///nPntu//vWvRa73XONyW716Nd27d/e8fu7XoXLlyrzzzjt0796dl19+mYsuusjvdaoyZuVTkLQGrp8GdS52OpqzVnETlFdPJ83Xuctebm0P7+VRvTHc9vlZb9YYk29I7q233mLNmjV8/vnntG3blo0bNwL4HLrzFhkZycCBA1mwYAHXXHNNkdvxVZbXfffdx4MPPsjAgQNJSEjIdZaE1q1bs3HjRpKTk2natCk5OTnUqFHDE6+by+WiQ4cOAAwcOJDJkycTGRnpmXcq6PyPBcVnjOHf//43ffr0yVX+2GOP8fnn1nvhHUNx11+QsLAwXn75Zc/jyy+/nGbNmjFv3jyefPJJAN599918y1WqVAmwzoQeHh7u2WZISAjZ2dmeet6xlGRcOTk5TJ8+nbCwsFxDdOnp6UDhr8PmzZupXbs2+/bt8zseVcb88iWsehXib4c2Q52O5pxo/70gvSbm7xaHR1nl57LaXr2YOXMmR44cAeDo0aPs2rWLzp07M3nyZOrUqUNSUhLdu3fn448/BmDLli2eSy+kpqayf/9+wJqDWrx4Mc2b5z8Tce/evXNdXuHYsWN06dKFr7/+2vMt3tcQ14kTJ2jUyDpj+4wZuYcy27Vrx9tvv83AgQPZt28f1apVo2nTpsyaNQuwdnw//fQToaGhbNy4kY0bN3rmNLw1b96cPXv2eOZdPvzwQ6688kqaN2/Ovn37SEy0TrmYkpJCdnY2ffr0YcqUKZ75m//973+cOnWKZ555xrMdb9WqVfP09MDq1Z0+fZrevXszffp0zyXmixriO336NKdOnQJg2bJlhIWF0bJlS4YMGeLZ7rkcHPHpp596brt06eL3ckXFtWrVKuLj42nSpAkbN24kJyeHpKQkzyXq3Z8D95nq3a/Db7/9xksvvcSGDRv44osvWLNmje8AVNl1PAnmj7GmG/r8w+lozlnF7UEVxX20XgkfxaeX27B6fu+99x7Dhg0jOzubjh07MmbMGCIiInxeQuPOO+9kz549tG/fHmMMdevW9SSfgnz44YfcfffdTJw4kdDQUObMmUPfvn09SSUiIoL+/fvz7LPPMm/ePO677z4OHz7MgAEDaNu2LUuWLOHQoUP06dOHkJAQGjVqxIcffuj/G+2HjIwMOnfuTE5ODv/9b/6LQ59rXF27dvVcEbh169aeecy6desydepUrrvuOnJycqhXrx5Lly7ljjvu4MUXX6Rhw4ZMmzaNUaNGkZiYSGRkZIm2WwWIZ94pG4bNgPDy/74F/HIbTtHLbRRM2+u8Jk2asG7dOs9cZEnSy20Et+IPblkAACAASURBVALbu+Qx+OF166CIVkNKO6xzUtDlNnSITymlyrvti63k1PGucpecCqNDfEo5IO/VdpU6a8d/h/l/gQZx0OcZp6MpURWuBxWsQ5pKlQb9/yljsjNh1m1gcqyhvbBKTkdUoipUgoqMjOTIkSP6T6bUWTDGcOTIET1ooixZPgn2roNBr0OtC52OpsRVqCG+mJgYkpOTOXz4cK7y9PT0CvVPp+0NboFsb2RkJDExMQFZtyqmbZ/B6jeg093QcpDT0QREhUpQ4eHhPs8+kJCQQLt27RyIyBna3uBW0dpbIR3bAwvugYbtoPdTTkcTMBVqiE8ppco7ycmy550IynknbxWqB6WUUuXdRbveh30/wo0fQc0mTocTUNqDUkqp8uLnhcTs/Qwuuwda/MnpaAIu4AlKRPaIyGYR2Sgi6+yyWiKyTER22Lc17XIRkddEZKeIbBKR9l7rGWnX3yEiIwMdt1JKlSlHd8OCsZyMbgZXP+l0NKWitHpQVxlj2nqdymICsMIY0wxYYT8G6Ac0s/9GA1PASmjAE0BnoBPwhDupKaVU0MvOgFmjQODnluMhLMLpiEqFU0N8gwD3qbJnAIO9yj8wltVADRFpAPQBlhljjhpjjgHLgL6lHbRSSjli6eOwfyMMnkJ6VH2noyk1pXGQhAGWiogB3jbGTAXqG2P2Axhj9otIPbtuI8D7IkzJdllB5bmIyGisnhf169f3XN66KKmpqX7XDQba3uCm7Q0udQ+totXPU0mKGcSuA1WCvr3eSiNBdTXG7LOT0DIR2V5IXV9XUTOFlOcusJLfVLDOZu7vGY71bMjBTdsb3IK6vUd2wdtTIKYjjW+bRuPQ8OBubx4BH+Izxuyzbw8B87DmkA7aQ3fYt4fs6slAY6/FY4B9hZQrpVRwykq35p1CQmHodAgNdzqiUhfQBCUiVUQk2n0f6A1sARYC7iPxRgIL7PsLgVvto/kuA07YQ4FLgN4iUtM+OKK3XaaUUsFp6WNwYBMMeRtqnO90NI4I9BBffWCeiLi39R9jzJcikgjMFJE7gN+BYXb9xUB/YCdwGrgNwBhzVESeAhLtepONMYVfr1sppcqrLXMg8V24fBxcWnGPBwtogjLG/Arku/63MeYI0MtHuQHuLWBd04HpJR2jUkqVKUd2wcL7oXFn6DXR6WgcpWeSUEqpsiIrHWaOhNCwCjvv5E3PxaeUUmXFlxPg4Ga4aRZU18uaaA9KKaXKgs2zYf170PUBuKS309GUCZqglFLKaX/sgEX3Q+PLoOffnY6mzNAEpZRSTspKs37vFFbJnnfSmRc3fSWUUspJXzwCB7fAiDlQPd8Z3Co07UEppZRTNs2EH2fAFQ9Cs6udjqbM0QSllFJOOPw/WPQAXNAVrnrM6WjKJE1QSilV2jJPw6yREB4F10/TeacC6KuilFKl7YvxcGgb3DwHqjVwOpoyS3tQSilVmjb+FzZ8BN0fgovznfFNedEEpZRSpeXQdvj8QWjSDXo86nQ0ZZ4mKKWUKg2Zp6x5p4gqcP271nWeVKF0DkoppUrD4vFw+Be4ZR5En+d0NOWC9qCUUirQNnwMGz+GKx+Gi65yOppyo8gelIgsAkxBzxtjBpZoREopFUwO/gyf/x807Q5XPuJ0NOWKP0N8LwY8CqWUCkYZqda8U6VouE7nnYqryARljPm6NAJRSqmgYozVczqyE26ZD9H1nY6o3PH7IAkRaQb8A2gJRLrLjTEXBiAupZQq3zZ8BJs+gR5/gwuvdDqacqk4B0m8B0wBsoGrgA+ADwMRlFJKlWsHt8Lih+DCHtYPctVZKU6CijLGrADEGPObMWYS0DMwYSmlVDmVkQIzR0JkdbjuHZ13OgfF+R1UuoiEADtEZCywF6gXmLCUUqocMgY++ysc3QW3LoSquos8F8XpQT0AVAbGAR2Am4GR/iwoIqEiskFEPrMfNxWRNSKyQ0Q+FZEIu7yS/Xin/XwTr3U8apf/IiJ9ihG3UkqVjh9nwOZZ1rxT025OR1Pu+Z2gjDGJxphU4Jgx5jZjzPXGmNV+Ln4/sM3r8T+Bl40xzYBjwB12+R32+i8GXrbrISItgeFAK6Av8KaIaL9ZKVV2HNgMix+Gi3pCt/9zOpqg4HeCEpEuIvIzdqIRkTgRedOP5WKAAcC79mPBmruabVeZAQy27w+yH2M/38uuPwj4xBiTYYzZDewEOvkbu1JKBVRGCswaBZVrwZCpEKIn6SkJxZmDegXoAywEMMb8JCLd/VzuYSDaflwbOG6MybYfJwON7PuNgCR7/dkicsKu3wjw7q15L+MhIqOB0QD169cnISHBr4alpqb6XTcYaHuDm7a3lBlDi20vUe/Ir2xs+zQn1m0N6OYcb28pKtbJYo0xSVaHxsNVWH0RuRY4ZIxZLyI93MW+Vl3Ec4Ut4x3fVGAqQHx8vOnRo0feKj4lJCTgb91goO0NbtreUrZuOhz6FnpNpF23ewO+OcfbW4qKk6CSRORywNgHNYwj97ySL12BgSLSH+vHvdWwelQ1RCTM7kXFAPvs+slAYyBZRMKA6sBRr3I372WUUsoZ+3+CLybAxVdD1786HU3QKc5A6RjgXqyhtWSgrf24QMaYR40xMcaYJlgHOaw0xowAvgKG2tVGAgvs+ws5c2TgULu+scuH20f5NQWaAWuLEbtSSpWs9JP2vFNtnXcKEL96UPYRc7fYyaUkPAJ8IiJPAxuAaXb5NOBDEdmJ1XMaDmCM2SoiM4Gfsc5kca8xptDhRaWUChhjYNE4OPYbjPocqtR2OqKg5FeCMsa4RGQQ1qHfZ8UYkwAk2Pd/xcdReMaYdGBYAcs/AzxztttXSqkSk/gubJ0HV0+CC7o4HU3QKs4c1CoReR34FDjlLjTG/FjiUSmlVFm1byMs+Rs06w2X3+90NEGtOAnqcvt2sleZQc/Hp5SqKNJPWNd3qlIXBr+l804B5neCMsYUep1iERlpjJlRWB2llCq3jIEFY+FEMoxarPNOpaAk07/2dZVSwWvtO7BtIfR6As7v7HQ0FUJJJihfP6ZVSqnyb++P1rzTJX2hy1ino6kwSjJB5Tuzg1JKlXtpx63fO0WfB4On6LxTKSrWqY6KoD0opVRwMQYW3Asn98JtX1ong1WlpiQT1KoSXJdSSjlvzVuw/TPo/Qw07uh0NBVOcS63UV9EponIF/bjliLivo4TxhgdmFVKBY/k9bD073Bpf+gS+JPAqvyKM5j6PrAEaGg//h/WVXaVUiq4pB2z550awOA3QXQGwwnFSVB1jDEzgRywrtdEEZfbUEqpcscYmH8vpOyHYe9DVE2nI6qwijMHdUpEamMfrScilwEnAhKVUko5ZfWb8Mvn0Pc5iOngdDQVWnES1INYl724SERWAXU5c8kMpZQq/5ISYdlEaH4tdB7jdDQVXnFOdfSjiFwJXIp1SPkvxpisgEWmlFKl6fRRmH0bVGsEg97QeacywO8EZV8Tqj/QxF6ut4hgjPlXgGJTSqnSYQzMvwdSDsAdSyGqhtMRKYo3xLcISAc2Yx8ooZRSQeH7f8P/voB+z0Oj9k5Ho2zFSVAxxpjYgEWilFJO+H0NLJ8ELQZCp9FOR6O8FOcw8y9EpHfAIlFKqdJ2+ijMvh1qNIZBr+u8UxlTnB7UamCeiIQAWVgHShhjTLWARKaUUoGUkwPzxsCpQ3DHMois7nREKo/iJKiXgC7AZmOMnrlcKVW+ff8a7FgC/V+Ehm2djkb5UJwhvh3AFk1OSqly77cfYMVkaDkYOt7pdDSqAMXpQe0HEuyTxWa4C/Uwc6VUuXLqiD3vdD4M/LfOO5VhxelB7QZWABFAtNdfgUQkUkTWishPIrJVRJ60y5uKyBoR2SEin4pIhF1eyX68036+ide6HrXLfxGRPsVrplJKYc87jYbTR+CGGRCpU+hlWXHOJPHkWaw/A+hpjEkVkXDgO7sH9iDwsjHmExF5C7gDmGLfHjPGXCwiw4F/AjeKSEtgONAK62zqy0XkEmOMnqxWKeW/VS/DzuUw4F/QIM7paFQRiuxBicgr9u0iEVmY96+wZY0l1X4Ybv8ZoCcw2y6fAQy27w+yH2M/30tExC7/xBiTYYzZDewEOvndSqWU+u17WPk0tL4e4m93OhrlB396UB/aty+ezQbsUyStBy4G3gB2Acfty3UAJAON7PuNgCSwLuchIieA2nb5aq/Vei/jva3RwGiA+vXrk5CQ4FeMqampftcNBtre4KbtzS888zjx6/6KK/I81tcYiuvrr0snuACoSO9vkQnKGLPevtvWGPOq93Micj9Q6DttD8O1FZEawDygha9q7lUW8FxB5Xm3NRWYChAfH2969OhRWGgeCQkJ+Fs3GGh7g5u2N4+cHPj4esg5DbcvpNt5bUottkCoSO9vcQ6SGOmjbJS/CxtjjgMJwGVADRFxJ8cYYJ99PxloDGA/Xx046l3uYxmllCrYdy/BrpXQ759QzpNTRePPHNSfRWQR0DTP/NNXwJEilq1r95wQkSjgamAb8BVnriU1Elhg31/ImUQ4FFhp/+5qITDcPsqvKdAMWFuchiqlKqDd38JXz0KbYdDe13dsVZb5Mwf1PdZvoOpgnU3CLQXYVMSyDYAZ9jxUCDDTGPOZiPwMfCIiTwMbgGl2/WnAhyKyE6vnNBzAGLNVRGYCPwPZwL16BJ9SqlCph2DOHVDrIrj2Ff29UznkzxzUb8BvWKc5KhZjzCagnY/yX/FxFJ4xJh0YVsC6ngGeKW4MSqkKKMcFc++C9BNw81yoVNXpiNRZ8HsOSkSus39Ye0JETopIioicDGRwSil1Vr59CX5NgP4vwHmtnY5GnaXinOroeeBPxphtgQpGKaXO2e5vIOEfEDsc2t3idDTqHBTnKL6DmpyUUmVaykGYfQfUvhgGvKTzTuVccXpQ60TkU2A+uU8WO7fEo1JKqeLKccHcOyEjBW5doPNOQaA4CaoacBrwvqquATRBKaWc9/Xz1vDeoDegfkuno1EloDgni70tkIEopdRZ2/UVfP1PiLsJ2t3sdDSqhPidoETkPXyfXkjPuqiUckxExlGY+zDUvRQGnNUpQ1UZVZwhvs+87kcCQ9DTDSmlnOTKpsW2lyDzFIz8DCKqOB2RKkHFGeKb4/1YRP4LLC/xiJRSyl9f/5Oax7fA4LegXnOno1ElrDiHmefVDDi/pAJRSqli2bkCvnmB/eddDW3/7HQ0KgD86kHZFw10AalexQeARwIRlFJKFerkfpg7Guq1YEez0TRwOh4VEH4lKGOMEZGNxpj2gQ5IKaUK5cq2TgKblQbDZpCzVafCg1Vxhvi+F5GOAYtEKaX8kfAs/LYKrn0Z6l7idDQqgIpzFF9P4C8isgc4hXWVW2OMiQ1EYEoplc/O5daJYNvfCnE3Oh2NCrDiJKh+AYtCKaWKcmKvPe/UCvo973Q0qhQU5zDz3wIZiFJKFcg975SdATfMgPAopyNSpaA4PSillHLGV0/D7z/A9dOgTjOno1Gl5Fx+B6WUUoH3v6Xw3cvQYRS0Gep0NKoUaYJSSpVdJ5Jh3mio3wb6Pud0NKqUaYJSSpVNriyYfbt1q/NOFZLOQSmlyqYVkyFpDQydDrUvcjoa5QDtQSmlyp5fvoTvX4P4O6D19U5HoxwS0AQlIo1F5CsR2SYiW0Xkfru8logsE5Ed9m1Nu1xE5DUR2Skim0Skvde6Rtr1d4jIyEDGrZRy0PEkmD8GzouFPs86HY1yUKB7UNnA/xljWgCXAfeKSEtgArDCGNMMWGE/BuvHwM3sv9HAFLASGvAE0BnoBDzhTmpKqSCSnQmzb7N+9zTsfQiPdDoi5aCAJihjzH5jzI/2/RRgG9AIGATMsKvNAAbb9wcBHxjLaqCGiDQA+gDLjDFHjTHHgGVA30DGrpRywIonITkRBv1b551U6R0kISJNgHbAGqC+MWY/WElMROrZ1RoBSV6LJdtlBZXn3cZorJ4X9evXJyEhwa/YUlNT/a4bDLS9wa28trf2H2tos+V19jbsz47DNUH/f32qSO0tlQQlIlWBOcADxpiT1uWlfFf1UWYKKc9dYMxUYCpAfHy86dGjh1/xJSQk4G/dYKDtDW7lsr3HfoO3b4UGbWl0+/s0Cqvk96Llsr3noCK1N+BH8YlIOFZy+tgYM9cuPmgP3WHfHrLLk4HGXovHAPsKKVdKlXfueSdjrHmnYiQnFdwCfRSfANOAbcaYf3k9tRBwH4k3EljgVX6rfTTfZcAJeyhwCdBbRGraB0f0tsuUUuXd8idg73oY9DrUaup0NKoMCfQQX1fgFmCziGy0y/4GPAfMFJE7gN+BYfZzi4H+wE7gNHAbgDHmqIg8BSTa9SYbY44GOHalVKBt+wxWvwmdx0DLQU5Ho8qYgCYoY8x3+J4/Aujlo74B7i1gXdOB6SUXnVLKUcf2wPx7oGF7uGay09GoMkjPJKGUKn3ZGTBrlPX1ddh7Ou+kfNJz8SmlSt+yibBvA9z4MdRs4nQ0qozSHpRSqnT9vADWvAWX3QMtrnU6GlWGaYJSSpWeo7thwVho1AGuftLpaFQZpwlKKVU6PPNOYv/eKcLpiFQZp3NQSqnSseQx2L8Rhv8XapzvdDSqHNAelFIq8LbOg8R3oMtYaN7f6WhUOaEJSikVWEd2wYL7IKYjXD3J6WhUOaIJSikVOFnp1rxTaBgMfQ9Cw52OSJUjOgellAqcJX+DA5vgz59CjcZF11fKi/aglFKBsWUOrJsGl4+DS/X6oqr4NEEppUrekV2wcBw07gy9JjodjSqnNEEppUpWVhrMHAmhETB0us47qbOmc1BKqZL15QQ4uBlGzIbqMU5Ho8ox7UEppUrOplmw/n244q/Q7Bqno1HlnCYopVTJ+GMHfPYAnN8Frnrc6WhUENAEpZQ6d+55p7BK9ryTzh6oc6efIqXUufviYTi0FW6eA9UaOh2NChLag1JKnZufPoUfP4Bu/wcXX+10NCqIaIJSSp29w79Y804XdIUef3M6GhVkNEEppc5O5mnrPHvhleH6aTrvpEqcfqKUUmfni/FwaBvcMheqNXA6GhWEAtqDEpHpInJIRLZ4ldUSkWUissO+rWmXi4i8JiI7RWSTiLT3WmakXX+HiIwMZMxKKT9s/C9s+Ai6j4eLejodjQpSgR7iex/Ie5bICcAKY0wzYIX9GKAf0Mz+Gw1MASuhAU8AnYFOwBPupKaUcsCh7fD5g9CkG/SYUHR9pc5SQBOUMeYb4Gie4kHADPv+DGCwV/kHxrIaqCEiDYA+wDJjzFFjzDFgGfmTnlKqNGSeglkjIaIqXP8uhIQ6HZEKYk7MQdU3xuwHMMbsF5F6dnkjIMmrXrJdVlB5PiIyGqv3Rf369UlISPAroNTUVL/rBgNtb3ALZHubb3uV+od/4ae4Jzm+fjuwPSDbKQ59f4NXWTpIQnyUmULK8xcaMxWYChAfH2969Ojh14YTEhLwt24w0PYGt4C1d8NHcHAlXDmBtlfdX/LrP0v6/gYvJw4zP2gP3WHfHrLLkwHvS27GAPsKKVdKlZaDP8PnD0HT7nDlw05HoyoIJxLUQsB9JN5IYIFX+a320XyXASfsocAlQG8RqWkfHNHbLlNKlYaMVGveqVI0XKfzTqr0BHSIT0T+C/QA6ohIMtbReM8BM0XkDuB3YJhdfTHQH9gJnAZuAzDGHBWRp4BEu95kY0zeAy+UUoFgjHXE3pGdcOsCiK7vdESqAglogjLG/LmAp3r5qGuAewtYz3RgegmGppTyx4YPYdOncNVj1vCeUqVIT3WklPLtwBZYPB4u7GGdCFapUqYJSimVX0aKNe8UWUPnnZRjytJh5kqpssAY+OyvcPRXGLkIqtZ1OiJVQWkPSimV248zYPMsuOpv0OQKp6NRFZgmKKXUGQc2w+KHrRPAXqHzTspZOsTnQ+LCt2n84wvUM4c5JHVJaj+ejgPvdjospQIr/STMHAmVa8F170CIfn9VztIElUfiwrdpvf5xoiQTBM7jMNXXP04iaJJSwcsYWHQ/HNsDoz6DKnWcjkgpHeLLq/GPL1jJyUuUZNL4xxccikipUrBuOmydCz0fhwsudzoapQDtQeVTzxz2eXraeuaP0g9GqUDaNBNWTIYTyYCBeq2h6wNOR6WUh/ag8jgkvg+pPSQ65KGCyKaZsGgcnEjCc3GAo7tgy2xHw1LKm/ag8khqP57q7jkoW7YJIanDeM5zMC5VQRkD2RmQnWbfpkNWunXrXZ515vlGyZth1U+F19u1wnrOW3aa1aOKvcGZtiqVhyaoPDoOvJtEsI/i+4NTRBItaSA+L0GlzoX3EFP1GOg1sezuHF3Z9s7ea6fvSQppBZTlTSgFLVtIvbxJxA/NwDrlMkBIGIRFQVglCIuE8EjrtqD1nkg+21dIqRKnCcqHjgPvBvuIvaisTLY/fyUt1z3BnmaX0aR5W4ejCxLuIaasNOvxiSTrMRScpDy9ieLt7Bv/vhW+XntuySMn+9zaGxZ55s+dJMIq2ckjEqJqnkkiYV7Ph0d51cuTZHyuM5JVa9bT9cqe1uPQAv7FX25tD+/lUT3m3NqpVAnSBFWEsPAIao/6mKx3ulPpkyEcIIR65o+y8fuostQDycmBrNPWX2YqZJ6GzFPW/Sz3ffsv6zT88PqZ5OSWlQYL7rWeKyhRnIWLAH7F7k0Ukigia3glhMISSqXi1QuNAPF1YejAyIrYAZWqFl6p18TcXxDAirXXxMAGp4LG/A17eWHJL+w7nkbDGlGM73Mpg9s1KtFtaILyQ91GF7L6vIFcduBjq8Df30cFMoGcTQ8EICeH0OzTkHIgd8LITLUfn/adVHLVs5/LyvNcSXBlQtXzziEp5C/79oe1dLvqmoJ7ExVR7A0k7jnmGco+JHVIajOejmV1iFWVKfM37OXRuZtJy3IBsPd4Go/O3QxQoklK/2P91OTA0nxlUZJJqx//Tk74r4REVLW+tUbYfwd+wrV2GqE59sEWJ5Jwzb+X0MO/WNfVMS6r12Fy7Psur9ucPI/zlufA18/57oEsuh+2zj+TcPImlew0ugF852fDwytDRBX7tqp1P6IyVK135jnvP08993JVfNd5Na6AIabGMGJmcd6aIrnCojQ55TF/w14eTbyAtKxXPWVRiaH8o/HeEv8WHKyMMRgDLmPIse/nGEOO+zbH677X866c/HWNMbhy8tf1ta5tR1yE7/zj7NaVY/LVzfEzLu+6H/zwmyc5uaVluXhhyS+aoJxQ0O+jokwGqatnUFkyCCUn13N5L1AQmpMJ375o/QVK1mk4/ruVICKrQfR5uRNGRFV2/b6fi1rE+kgqdvKJqGqVhVcO2OluEi+678wZO2xpJoItF91Hx4Bssexx7yxc7h2de+dh7xDcO76cHHsn6LVzsXYmdp2cMzuYHGPYccxFlT1Hfa7PvcOZ/NnPPncwTy7aSpYrJ/fO0Vg745wcg8t9P9dOzCt2H89771yN1w7blVP4urzr+t65WrdHjqbx5vYfctV170x9rcs7qeTkkGvHmzduT1LJs173ehyTuKbUNykCISKECGS5fDd+3/E0n+VnSxOUnw5JXc7jcL7y/VKHafGL+HnvCX7d/weu9BSqSBpfRTxIiI+EZoAFbd8hLCyM0NAwwsPCCAsNJSzcvh8WRlhYuHU/PIyI8AgiwsIID7fKwsPDiAgPJ+v1LlROP5Bv/aejGlD5L7m7R3l3hDuyv6Femys8O658O8ksQ04G5Ji0XP+0Be3wCn3O3rnm/VY3aWNTumXdycNhM2koR9hnavN89g18vaEpD9TenWuH5B1brh2zd50c7x2M/dh+bt/+DBYc3Oi1E82/03fveH0nCWtduZbPE1/uJOG9E867Az/zegXUmh/OarFjp7MYP3vTOW06xLMjE89OLTREcu3grOeE0JD8dUMEQkIkX90QwV6PeG3D3mYIhIeE5KobkutWCAnBfs5eV9669vOhdpl33RA7/lCvsrzP5473TLvz1RWx6+eu68+6RGDTTz/Rvl07z3pDC1hXaEj+7fp+P6TIdbmfd+v63Er2+khGDWtEndNnJy9NUH7y9fuoNBPB3g4P8/drWwLWDm7fiXR+3neSfZ88S4zkP/vE3pw6PLC6ileJAbLtP/8NDLmO58LfpbJXPKdNBBNODOHLx7/I9W3Tp+X5hyxL20KuYGFmnss5pGXx5KKfi1w2NETsHQz2P9WZf273jic0xNqhZGS4SEo/luufP9+yIUKo987Da4fn2aF5tnPmH9y7zHsH6t52rn96r217x+q9Q/Isn2tHlXtHXti2Q0TYsnkT7dq2zb3NXDtf4fYZiRxOycj3utavVonZYy4/E5tn55p7R+8rqbhjL20JCQn06NGl1LfrlMykUDo1reVoDOP7XJprDgogKjyU8X0uLdHtaILyU97fRx2SOiR1yH0Un4jQqEYUjWpEMSniZh7OejNfAnkn4ma2Pd6XzOwcMlwu6zY7h0z3n+vM/YzsHDKyXfnKM7NzeGkZkEW+HsjCnCsY061pvm+b3jvC3bt3ccnFF+faEUqeHaf3TrGg59zfzgp6LtRrJxaa57mb3lnNwZP5d5DnVY/ki3HdPN8wC0oAxWHtwHqc5Ttf/siBMK5oVviZTx7r38LnDubRfi1oXKtyoENU5Zx7nkmP4itDvH8fdZ79V5C2A0YzcV42D5hPPAnkFYZzxYDRREWEEhURCoSfdSyfJCax8Hj+HkijGlFM6Ne80GUTSKJHtwvPetsl4dF+vneQE/o2p2aVCAcjqxhKawejgtfgdo0C/nnRBBUg1ht3Dzcu6RWQHUBpdbEDRXeQziuNHYxS56JcJSgR6Qu8inWA3LvGmOccDqlQgdwBBMMOXneQSqnClJsEJSKhwBvANUAykCgiC40xRc+oByndwSulgll5utxGJ2CnMeZXY0wm8AkwyOGYlFJKBYgYR39t5j8RGQr0NcbcrH2qQwAAB5FJREFUaT++BehsjBnrVWc0MBqgfv36HT755BO/1p2amkrVqkWcuyyIaHuDm7Y3uAVje6+66qr1xpj4vOXlZogPn+dxIFd2NcZMBaYCxMfHG38PLa5ohyFre4Obtje4VaT2lqchvmSgsdfjGGCfQ7EopZQKsPKUoBKBZiLSVEQigOHAQodjUkopFSDlZg4KQET6A69gHWY+3RjzTCF1DwO/+bnqOkD+8xIFL21vcNP2BrdgbO8Fxpi6eQvLVYIKFBFZ52uCLlhpe4Obtje4VaT2lqchPqWUUhWIJiillFJlkiYoy1SnAyhl2t7gpu0NbhWmvToHpZRSqkzSHpRSSqkySROUUkqpMqlCJygR6Ssiv4jIThGZ4HQ8gSAi00XkkIhs8SqrJSLLRGSHfVvTyRhLiog0FpGvRGSbiGwVkfvt8mBtb6SIrBWRn+z2PmmXNxWRNXZ7P7V/2B40RCRURDaIyP+3d78xVlRnHMe/P0GDRZDwr0GNEk1N5YUukSgNqEiI8Q9Rm2oaoo2ob0xrLaWm0b7R2LQpxqgvNDFRE32BRlRQsK1CUMRo/QcS2Go1VrZKJNBEQGoaEuTni/OsDDfLLq677GXm+SSTe+bcmbnn5M7OuWcGnueFWK97f7skbZK0QdK7UVfLc7pVYweoSvqOS4ApwDxJU4a2VYPiMeDilrrbgNW2fwSsjvU62Av8zvYZwHTgV/Gd1rW/e4DZts8COoCLJU0HFgH3RX93ADcOYRsHw2+ADyrrde8vwIW2Oyr//6mu5/QBGjtA0ZD0HbbXAl+0VF8BPB7lx4ErD2ujBontrbbXR3k35SJ2IvXtr23/L1aPjsXAbOCZqK9NfwEknQRcBjwS66LG/e1FLc/pVk0eoE4EPqusb4m6Jvih7a1QLurAxCFuz4CTNBmYCrxFjfsbt7s2ANuBVcC/gZ2298YmdTuv7wd+D+yL9XHUu79QfnSslLQuUgpBjc/pqiMp3cZA6zN9RzoySToOeBZYYPvL8iO7nmx/DXRIGgMsA87oabPD26rBIWkusN32Okmzuqt72LQW/a2YYftzSROBVZL+NdQNOlyaPINqcvqObZImAcTr9iFuz4CRdDRlcFpse2lU17a/3WzvBNZQnr2NkdT947NO5/UM4HJJXZRb8rMpM6q69hcA25/H63bKj5BzaMA5Dc0eoJqcvmM5cF2UrwOeH8K2DJh4HvEo8IHteytv1bW/E2LmhKRjgTmU526vAFfFZrXpr+3bbZ9kezLl7/Vl29dQ0/4CSBopaVR3GbgI6KSm53SrRkeS+C7pO45Ukp4EZlFC9G8D7gCeA5YAJwOfAlfbbv2HFEccSTOB14BN7H9G8QfKc6g69vdMygPyYZQfm0ts3yXpVMoMYyzwHnCt7T1D19KBF7f4brU9t879jb4ti9XhwBO2/yRpHDU8p1s1eoBKKaXUvpp8iy+llFIbywEqpZRSW8oBKqWUUlvKASqllFJbygEqpZRSW8oBKqVBJGmNpGl9b/m9P+eWiOK+eICPO1/SAwN5zJQOVZNDHaXU1iQNr8SY68svgUtsbx7MNqV0OOUMKjWepMkx+3g48iqtjMgMB8yAJI2PMDvdM4vnJK2QtFnSzZIWRp6iNyWNrXzEtZLekNQp6ZzYf2Tk6non9rmictynJa0AVvbQ1oVxnE5JC6LuIeBUYLmk37ZsP1/SUkkvRu6guyvvzYs8Q52SFlXqr5f0kaRXKeGFuusnSHo22vyOpBlRf0HkKtoQfRn1fb6PlL5lO5dcGr0Akym5pDpifQklGgGU+HbTojwe6IryfOBjYBQwAdgF3BTv3UcJVNu9/8NRPh/ojPKfK58xBvgIGBnH3QKM7aGdZ1OiZIwEjgP+CUyN97qA8T3sMx/4BDgeGAH8hxKD8gRKBIIJlDspL1NSNkyq1B8DvA48EMd6ApgZ5ZMpIaUAVlACmhLtGj7U32ku9VjyFl9KxWbbG6K8jjJo9eUVl7xTuyXtolyooQwiZ1a2exJKbi5JoyN+3kWUwKe3xjYjKBd9gFXuOWzNTGCZ7a8AJC0FzqOE9+nNatu7Yp/3gVMoaSrW2P5v1C+mDKC01D8FnB71c4Aplejwo2O29Dpwbxxjqe0tfbQnpUOSA1RKRTV229fAsVHey/5b4SN62WdfZX0fB/5ttcYTMyVNxM9sf1h9Q9K5wFcHaWN/84a09m14H8c6WPyzo4Cf2P5/S/1fJP0VuBR4U9Ic241JCZEGTz6DSql3XZRba7A/YvZ39XP4NpjtrpjNvAT8OiKwI2nqIRxnLXClpB9EZOufUoLj9sdbwAXxXG0YMA94NepnSRoXqUuuruyzEri5e0VSR7yeZnuT7UXAu8CP+9mmlA6QM6iUencPsETSLyjPafpjh6Q3gNHADVH3R0ok/Y0xSHUBc3s7iO31kh4D3o6qR2z3dXvvYMfaKul2SqoKAX+z/TyApDuBfwBbgfWUaOkAtwAPStpIuXasBW4CFki6kDI7ex/4e3/alFKrjGaeUkqpLeUtvpRSSm0pB6iUUkptKQeolFJKbSkHqJRSSm0pB6iUUkptKQeolFJKbSkHqJRSSm3pGwyYHtrz2t7+AAAAAElFTkSuQmCC\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "for test in ['Castep_TiN', 'Castep_Al3x3_*', 'Castep_DNA_*']:\n", - " for perf_var in ['total_time', 'runtime_real', 'parallel_efficiency']:\n", - " df = modules.utils.tabulate_last_perf(test, 'num_nodes', perf_var)\n", - " if df is None:\n", - " print('%s: %s - No results found' % (test, perf_var))\n", - " continue\n", - " print('%s: %s' % (test, perf_var))\n", - " ax = df.plot(grid=True, style='o-')\n", - " ax.set_xlabel('number of nodes')\n", - " ax.set_ylabel(perf_var)\n", - " ax.set_title('%s: %s' % (test, perf_var))\n", - " plt.tight_layout()\n", - " \n", - " modules.plots.add_roce_ib_factor(df)\n", - " display(df)\n", - " " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Al3x3 - csd3:cclake plots\n", - "The plots below are provided for reporting of the `csd3:cclake` Al3x3 results" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "image/png": 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PomzrNs4/EpSnm/h6AitExPFe/zHG/FdENgDLROQ64EfgMvv8d4HzgL3AceDa9g6oMLQHUbqzrlKqM/KjSbrg4QRljPkOSG/keB4wtZHjBrjZkzGVRvQksfgrT76FUkr5JscyRzH+kaA61UoSAFUxfehek09NVZW3Q1FKqY5VlAtR3SE0wtuRtEqnS1BBcX0IlWqOHs7xdihKKdWx/GSjQodOl6DCulqDBPP3f+/lSJRSqoMV5kCs72+z4dDpElRsz/6A7qyrlOqEinK0BuXLuvYaAECF7qyrlOpMKkuhNF8TlC/rltCLchOKKdI+KKVUJ+IcYu4fc6CgEyYoCQricFB3Qkp0sq5SqhPxszlQ0AkTFEBhaKJO1lVKdR5bl8Gyq637K26wHvuBTpmgjkf0Ir5Kd9ZVSnUCW5fBW7dZ/U8Axfutx36QpDplgqrq0puEmiPUVFd7OxSllPKM6krI2QTv3mUNkHBVWQof3u+duNzQEdtt+Jyg+CTC9ldz5HAuCb36tnyBUkr5upLDkL0estZB1gbI/Qqqypo+vzC742Jro06ZoMK6WhPVjh7I1ASllPI/1VVw6FsrGWVvsG6PZlrPBYVC73QY+zPoOx7+e6/VrFdfnO9P2O2UCSqmhzVZt/jQD8Dp3g1GKaVacjzfTkR2DSnnK6g8Zj0X3ROSx8HY66yE1HtU3bX2qiutPifXZr7QSJi6sGPL0AadMkF17T0AgIp836/iKqU6mZoaOLyT3rmrYeUyKynl7bGek2DolQqj50HyeOg7DuL7gzS2Gbkt7XLr9sP7rWa9uGQrOTmO+7DOmaAS+lBhgqkp1Mm6SikvKyuE7I1WIspeD9mboLyQFIDIbtB3Aoy6wkpISWMgrIv775F2uV8kpPo6ZYIKCg4mL6g7ocfabbNepZRqmTGQt9ceyLDe+jm8EzCAQM8RkHoJ9B3PulyYMPOK5mtHAa5TJiiAo6E9iNTJukopTyovsYZ6Z9vJKHsDlB61nouIs/qORsy2+o6SToGIWOelpQUZnTo5QSdOUKURPelR/K23w1BKBQpj4Oj31hDvrHVWUjq4HUyN9XxCCgw932qySx4PCUMgqFNORW21TpugKrv0JrHwE2qqawgK1l8SpZSbKkshd3NtU132ejhmr1ATFg3JY+H0O63aUfJYiOzq3Xj9UKdNUBLbh4j9lRw5coCEnv6zeKJSyguMsUbAOecdrYcDW6Gmynq+28kw6Byrya7vBOgxDIKCvRtzAOi0CSq8mzVB9+iBTE1QSqm6qsph/9e1NaOs9bWTXUOjoM8YOO1Wu7luHHRJ8G68AarTJqjoRNfJuqd5NxillHcV7a9NRFnrYf8WqK6wnovvBwMm18476pkKwaHejbeT6LQJqlufAQCU6866SnUu1ZVwYJtL7WgDFP5oPRccDn1Gw4Qb7IQ0HmJ6eTfeTqzTJqj4hCSqTJBO1lUq0DkXUbWHeed8BVX2sj8xfawkdOqNVnNdr5EQEu7deJVTp01QQSEhHA7qRkiJTtZVKmDUVNcuouoY7n30e+u5oFDonQZjr7UHM4z3iwVTO7NOm6AAjoboZF2l/NrxfGuZoOz1pG99Hz7/DipKrOe69LCS0Nhrrea6PqOsRVKV3+jUCep4RE8SSnZ5OwylVGvU1MCRXXXnHR3ZbT0nwYR0GQDpV1hJqe/4lhdRVT6vQxKUiAQDG4EcY8wFIjIQeBXoBnwFXGWMqRCRcOBF4BQgD5hjjMn0VFxVXXqTUPS5TtZVyheVFUHORpeEtBHKC63nIrtZSShtjtV3lDSGTZ9vYMqUKV4NWbWvjqpB3Q7sABwLTf0v8Jgx5lUReRq4Dlhs3x41xgwSkbn2eXM8FZTE9SHqQDlH8g+TkNjTU2+jlGqJMZC3r3aJoKz1cGgHzkVUewyH1Nm1ywR1P1lrR52AxxOUiCQD5wMPAXeIiABnAz+1T3kBWISVoC6y7wO8BjwpImKMMZ6IzbGzbv7+TE1QSnWk8hJrS/Is10VU863nwuOspYGGX2zNO0o6xVpYVXU6HVGD+ivwayDGftwdKDDG2GuEkA0k2feTgCwAY0yViBTa5x/xRGC1k3UzgQmeeAullDHWduSOrcmzHIuoVlvPJwyBoefZ844m6CKqysmjCUpELgAOGWM2icgUx+FGTjWteM71dRcACwASExPJyMhoU3zlRUc4GcjasYniEN+oQZWUlLS5PL5Iy+PbPFGeoOpyYor3EVu0k9iincQV7iKssgCAquAIimOGUNjvJxTFDqUodghVofbfrsXAtweAA216X/1sAo+na1CTgFkich4QgdUH9VcgXkRC7FpUMpBrn58N9AWyRSQEiAPy67+oMWYJsAQgJSXFtLVjtKaygupNC0iIqGKyj3SuZmRkBFRHr5bHt7VLeRyLqGZtsPqP9m+FmkrruW4nwbAZzpF1IT2G0zUoGE+s662fTeDxaIIyxtwL3Atg16DuNMbME5HlwKVYI/nmA6vsS960H39hP7/WU/1PAEGhYRwO6qqTdZVqrapyKwFlr69NSsX235chkdaW5KfdYjXXJY+D6ETvxqv8mrfmQd0NvCoiDwKbgefs488BL4nIXqya01xPB3I0pAcRpW1rUlAq4BUfsAcy2NtM5G6B6nLrubh+0P+02nlHuoiqamcdlqCMMRlAhn3/O2B8I+eUAZd1VEwAxyN6EF/yXUe+pVK+qboSDn5TdyJsgesiqqNg/M+tgQy6iKrqAJ16JQmwdtZNKNpATY0hKEjnVahO5NgRuh9ZB2syrKa6nE31FlEdBxNutJrreqfpIqqqw3X6BCWxSUQfKOVIfh4JCbrpmApQzkVU19cO987/jpEAQSHQKw1OucZKSn0n6CKqyid0+gQV6pys+70mKBU4So9aSwM5+o9yvoKKYus5xyKqY+az+UgYo8+/VhdRVT6pxQQlIm/RyFwkB2PMrHaNqINFJ/YDHDvrjvNuMEq1RU2NtWiq68i6I/YiyBIMPUdA+pza7cm7DnAuE1SYkaHJSfms1tSgHvV4FF4U32sAAGW6s67yF85FVO15R9kboMyxiGpXq88o7XKrltRnDIRHezdepdqoxQRljPm4IwLxlq49rRpUTYHurKt8kGMRVccCqlnrrb4k5yKqw2DE7NplgnQRVRVAWt0HJSKDgT8Cw7FWhQDAGHOSB+LqMEGh4eQRT7BO1lW+oOKY1V/kukX58TzrOeciqrOsprrksbqIqgpo7gySeB64D3gMOAu4lsbXzvM7R0MSiSzTybqqgxkDBT/Ubk2evR4OfFN3EdUhM2snwiak6CKqqlNxJ0FFGmM+tLe/+AFYJCL/h5W0/NrxiJ7EHvvR22GoQLB1GXx4v7U+XVwyTF1o9QcBVJbB/i21K3pnb4CSg9ZzYdHWMkGn32EvEzQWorp5rxxK+QB3ElSZiAQBe0TkFiAH6OGZsDpWRZde9C/erJN11YnZugzeug0q7cmuhVmw6mb4eimUHa27iGrXgXDSWda8o+Tx1oZ8wZ1+1odSdbjzP+KXQBRwG/AAVjPffE8E1dEkNom4g8c4UpBPQrfu3g5H+as1i2qTk0N1Bez70FqzbuLNtUO9dRFVpVrU6gRljNkAYG9we63nQup4jsm6ebk/aIJS7ik+CLvfg53vQFEzI0GvfbfjYlIqQLgzim8i1mrj0UA/EUkHbjDG3OSp4DpKlzqTdcd4Nxjl24yBw7ushLTrXWu1BgzE97f6kSpKGl6jywYp1SbuNPH9FZiOtWcTxpivReQMj0TVwZyTdfN0sq5qRE21Nahh1zuM3/w6fGzvf9RnNJz1G2u78h7DYdvyun1QYK3SMHWhd+JWys+51StrjMmSupMAq9s3HO/o2rM/ANWFOllX2SqOw3cfwc53Yfd/4fgRCAqlLG4EUWf/jzX8Oy6p7jWO0XpNjeJTSrnFnQSVJSKnAUZEwrAGS+zwTFgdKygskqPEElyS2/LJKnAdOwK73rOa7vZ9ZG09ER4Hg8+1akmDzmHrl5uZMm5K06+RdrkmJKXaiTsJ6kbgb0ASkA2sBm72RFDecDQkkUjdWbfzydtn9SftfMean4SB2GQYcxWknAf9J0FImLejVKpTalWCEpFg4CpjzDwPx+M1x8J7Entca1ABr6bG2phv1ztW851j1e9eI+HMu62aUq80Xc9OKR/QqgRljKkWkYuwljkKSJVdepFcsk0n6waiyjL4/mOrlrT7v9bqDRIMAybBuOsgZSbE9/N2lEqpetxp4vtMRJ4ElgLHHAeNMV+1e1ReYGL70PVQMUcKC0noGu/tcNSJOp4Pu9+3akp710LlMWsY+KBzYOj5Vr9SZFdvR6mUaoY7Ceo0+/Z+l2MGOLv9wvGesK59AXuyriYo/3Q002q22/kO/PiFtehqTG9rs76U82Hg6RAS7u0olVKt5M5KEmc197yIzDfGvHDiIXlHVKKVoIoOZcKIdO8Go1rHGMjdbI262/kuHNpuHe8xHCb/yupP6j1aVwBXyk+15+qUtwN+m6C69hwI6M66Pq+qAjI/sRLSrvegOBckCPpNhGkPWUmpm19vUaaUsrVngvLrkQXxvezJurqzru8pLYA9H1j9SXvWQEUxhEbByWfD0N/B4OnQRddQVCrQtGeCMu34Wh0uKLwLhUQTXKxDzX1CQZY9afYdyPwUaqqgSw9InW31J510prWMkFIqYGkNysXRkEQidLKudxgDB7bZ/UnvwIGt1vGEITDxFmvkXdJY7U9SqhNpzwT1WTu+lldYk3UPeTuMzqO6En74rLY/qfBHQKztzc/5vZWUEgZ7O0qllJe4s91GT+APQB9jzEwRGQ5MNMY8B2CMucVDMXaYii696FmyQyfrelJZEexdY9WU9qyGskIIibB2lz3zLhgyA6IDYqNmpdQJcqcG9S/geeA39uPdWJN2n2vqAhGJAD4Bwu33es0Yc5+IDAReBboBX2Eto1QhIuHAi8ApQB4wxxiT6U6BToSJ6UPCoUKOFBWTEB/bUW8b+Ir21zbdZf6ftctsZDcYeoG13t3JZ0FYF29HqZTyMe4kqARjzDIRuRfAGFMlIi1tt1EOnG2MKRGRUOBTEXkPuAN4zBjzqog8DVwHLLZvjxpjBonIXOB/gTnuFqqtsqriGQPM/t/XqYnrz13TU7h4dFKL16l6jIFDO2DXO4zZtBQy9ljHuw6E8Quspru+EyAo2LtxKqV8mjsJ6piIdMcerScipwKFzV1gjDGAY4vRUPvHsfrET+3jLwCLsBLURfZ9gNeAJ8XeY96NONtk5eYcDn7/DQTBx2G/JPd4An9dMRe4SZNUa1RXQdaXdn/SO9aqDgAxg+Hs31lJKXGoLsKqlGo1ae13v4iMAZ4AUoFvgETgUmPM1hauCwY2AYOAvwN/Ar40xgyyn+8LvGeMSRWRb4AZxphs+7l9wARjzJF6r7kAWACQmJh4yrJly1pZ3KZ9kLGa35klREil89hxE8ZD8nPOnTLthF+/tUpKSoiOju6w9zsRQdVldMvfTMKRdXTP20hoVTE1EsLRrukcSRhPXvdx5FeG+015WsOfPp/WCKTyBFJZIPDKc9ZZZ20yxox15xp3ljr6SkTOBFKwhpTvMsZUtnAZxphqYJSIxAMrgGGNnWbfNvbndYMMaoxZAiwBSElJMVOmTGlVGZozaO11RATVLU6UVPCLmqUkT/nDCb9+a2VkZNAe5fGY4oOw+z2rpvRdBlSXQ0Q8DD8PUs4jaNBUuofH4Jg26/PlcZOWx3cFUlkg8MrTFu6M4gsGzgMG2NdNExGMMX9pzfXGmAIRyQBOBeJFJMQYUwUkA47ZsdlAXyBbREKAOCC/tTGeiD5BeY0eTwo6Alv+YzVRRcR1RCi+5/Bu2Pm2NdAheyNgIK4fjP2ZtbRQv4kQHOrtKJVSAcadPqi3gDJgG1DTmgtEJBGotJNTJHAO1sCHj4BLsUbyzQdW2Ze8aT/+wn5+bUf0PwGURfYiqnR/g+NGgpGVv4DgMGurhhGXQMoMCI/piLA6xtZl8OH9UJgNcclw9m+h6wBr1N2udyFvr3Ve73SYcq+VlHqman+SUsqj3ElQycaYNDdfvzfwgl37CgKWGWPeFpFvgVdF5EFgM7VD1Z8DXhKRvVg1p6sQgzoAACAASURBVLluvl+bRc28n6pVtxJSXeY8dtyEkXnqHxieOhq+eQO2r7C+sEMiYPA0GDEbhkz37yHSW5fBW7dBZan1uDALVtxg3Q8KgQGnw4QbrU394pK9F6dSqtNxJ0G9JyLTjDGrW3uBPYBidCPHvwPGN3K8DLjMjZjaT9rl1j+GXZOoiU3i8co5vLKuP2+PH07fGWNh2oOQtQ62vwHfroIdb1qLlg6ZAamXwKBzITTCK+E71dRAWQEcz7N/8l3u13tcmg/534FppEIc2R1u39x5mzWVUl7nToL6ElghIkFAJdaABmOMCZwZrWmXWz9Y1b0r8o7x8hOf8ouXN/HajacRERoM/SdaPzMehh8+r01W29+AsBir+WvEbGul7ZDwhs1nUxc636NFNTVQXmgnlfqJxiXhlLomnaONJxywmimjEiCqO0R1g7iRtc139ZXma3JSSnmVOwnqz8BEYFtH9Qt5W//uXfjrnFFc98JGfrfyGx65NA1x9LsEBVs7tA48HWb+ydqj6Js3YMdbsHUphMdBzxGQs8ka6QZW89mbt0L+99BndN1EYyeZUbnfwfbq2uRjmpgLHRRqJxo72fQY5vLY5Xhkt9rHYV0a9htlb7Tiqk+b85RSXuZOgtoDfNNZkpPD1GE9ue3sQTy+di9j+nflivH9Gp4UHGLVmE4+G87/C3z/sZWsvn6FBqPkq8ogo96wdQmuTSIEWwukRp3aMOFEdrOSTlR3a5BGewxSmLqwbh8UWNtYTF144q+tlFInwJ0EtR/IsJcqKnccbO0wc392+zlD2JJdyH2rtjO8dyzpfeObPjkkDAafa/18/UoTJwlcvwYiu1rJJiLOmWy2dPTcB0dzY1ubIZVSykPcSVDf2z9h9k+nERwk/G3OKC544lNuevkr3rp1Mt26tOKfIC656eazZLcmVHuWS9+bUkr5CndWkvi9JwPxdV27hLH4yjFc+vQX3P7qZv517XiCW9qSQ5vPlFKqzVrcnlRE/mrfviUib9b/8XyIviMtOZ4HLhrB/+05wmMf7G7FBZfDhY9DXF9ArNsLH9failJKtUJralAv2bePejIQfzFnXD82/1jAkx/tJb1vPOcO79n8Bdp8ppRSbdJiDcoYs8m+O8oY87HrDzDKs+H5pkWzRjAyKY47lm0h88gxb4ejlFIBqcUE5WJ+I8euaac4/EpEaDBPzRtDcJBw4783UVrR0r6NSiml3NViE5+IXIG1ueDAen1OMVjbsndKfbtF8be5o7nm+fX8vxXb+Mvl6bWTeJVSyoes3JzDn97fRW5BKX3iI9t9t3BjDMcqqikuq6S4rMr+qb1fUt7izkyNak0f1OdYc6ASsFaTcCgGmt2sMNCdOSSRO84Zwp8/2M3ofvFcPXGAt0NSSqk6Vm7O4d43tlFaabX05BSUcu8b2wC4eHQSVdU1lJRbiaTITiolZVUUl7smG9eEU+k833FNSXkVnljCocUEZYz5AfgBa5kjVc/NZw1iS1YBD7z9LSP6xHFK/67eDkkp1YkYYzheUU1BaSWFxyspKK2gqLSSguOVFJZW8sTavc7k5FBaWc0dy7bUSVzNCQ0WYiJCiYkIISYihOjwEPp2iyImIoRY+3h0eEidc6yf0Nrb/3W/bO5sWHgJ1l5OPbAWig28xWLbIChI+MucUVz4xKfc9PIm3r71dBJjwr0dllLKz5RXVVNoJ5nC0ko2H6oib1M2haWVFJRW2kmnwvnY9dyqGverLzUG5k3oR7RLIom171vJpvZ4eEiQV7ow3FlJ4hHgQmPMDk8F46/iIkN5+spTmP3UZ9z6ylf8+7oJhAS7M/5EKRUIqmsMRXbycCaR0koKHYnleGWjCaawtLLxmsxXXzvvxkSEEB8VSlxkKPGRYfSJiyQ2MtTlmHUbZz+OiwwlPiqM6Y99TE5BWYOXToqP5LcXDPfkP8cJcydBHdTk1LThfWL5w+yR/M/yr/nT+7u497xh3g5JKdUGjg5/R23FNZE4EkvBcbtGU1p7TsFxq4+mOZGhwXbiCCU2MpR+3aOcicWRaOKiwoiLDGXft1s5e/KpxEVa57a4ck0T7po+tEFTXmRoMHdNT2nT63UkdxLURhFZCqyk7mKxb7R7VH7qJ6cksyWrgGc++Y5RfeOZObK3t0NSqtMqq6y2k0htkimoX6OpU8upvd9ck1lIkDgTTHxkKInR4QxKjCY+Ksx5rE7CcanVhIcEtzp+kxvMgIQT363bMVrPk6P4PMWdBBULHAemuRwzgCYoF7+7YDjf5BZy12tbGdwzhkE9or0dklJ+q6q6hqKyKpdaSt1ajWuC+WF/KX/c/ImzVlNW2cTGnVibB8SEhxBv11bio0LpEx9Zp6msNsGEOZNMfGQoUWHBfjel5OLRSX6RkOpzZ7HYaz0ZSKAICwniqXljuODxT7nx35tYdfMkuoS783eAUoHFGENJeVW9prHKOn0y1k/dfprC45UUlzffZBYVFuyspQgwICGKuMg4Z/9LUzWamIi2N5mpjuPOKL7nabD7HhhjftauEQWA3nGRPHHFaK58bh3z/vElh4vLyS0o86uqtVL1lVVW1+lvca3RNJ10rJ/qZprMQoPFrqVYNZqesREM6Rnj0tHfSJOZXasJC6kdjJSRkcGUKT60jY06Ye78af+2y/0IYDaQ277hBI7TBiVw/sjevLV1v/NY/QlySnU0R5OZI7FsPVxF4Zacekmn8RpNeVXzTWaxEXWTSHLXyLoJJjKszqgzx3ORof7XZKY6hjtNfK+7PhaRV4A17R5RAPnqx6MNjpVWVvPQOzuYkdqLiNDWd5gq/+DpJWXAajIrLq+q06lfdwhz3Ymajtui0iaazDZtcd7t4mgyi7JqNCclRDcydLk24dQ2mYUQpE1mqp2dSOfIYKBfewUSiHIbmXsAcLiknBH3vc/JiV0Y0SeOEX1iGd4nlhG94zo4QtWeWlpSpr6yyuo6zWF1BgA0MmfGMVGzqKyq2SazsOAgZ0KJjwyld1wEQ3u7NJk5O/zD2LdjG2dNnmANZY6o22SmlLe1KkGJVf+uBkpcDh8A7vZEUIGiT3wkOQWlDY53iwrlpxP6sz23kM/2HmHF5hzncwmRwilZG52Ja0SfOHrGhmsTiI9yDGUuLK3kwXe+bXRJmXvf2MbbW3MbJJ2KZprMgoQ6HfxxUWH06xZl9dO4jCqrn3DiIkOJCG39rH85EMzJiTrSVPmmViUoY4wRkS3GmDGeDiiQ3DU9pdEJcgsvHFHnL+rDxeVszy1ke24RGV/vZffBEt7fftD5fPcuYVYNy5m0YhnQvYs2qbSDmhqruazIpZZSVOa4b408czwuLK0k+2ApD2zKcA59bi7JOJRWVpNbUEZcZCiDekQ3mBvjSCyOprPYyFBiwrXJTCl3mvg+F5FxxpgNHosmwLR2glxiTDhTUnowJaUHIySbKVOmUFJexY79RWzPsRLX9twinvv0OyqrraadLmHBDOsd66xlDe8Ty5CeMZ2yiaa8qtqZTBwJpchONtbj2v4aZ/Ipqx3G3NwqzI6ajKMJLDwYBvSKJTYyhFj7mCOp/P7N7eQdq2jwGknxkbx7++ke/BdQKjC5k6DOBn4hIpnAMWoXi03zRGCBoq0T5KLDQxg3oBvjBnRzHiuvqmbPwRK+zS1y1rhe25TNC1/8AFjDdQf3iHHWskYkxTGsdyzRPj4Py3WeTP2ai2uicSabOsmn+QmZABGhQc4EExcZWmcYc2yEnWhckpCjdhNrr9Ds2lxmDWVuvCGhpsb47ZIySvkid765Zrr74iLSF3gR6AXUAEuMMX8TkW7AUmAAkAlcbow5avd1/Q04D2vVimuMMV+5+76BKjwkmNSkOFKT4oC+gPWlmJl3zFnL2p5byNqdh1i+Kdt53YDuUc5alqPG5brienuMPKuoqnFpGqtNJht/rGT7R3vrNJ01loSaW4zZMYQ5NjLEmUQG9Yi2komjWayJRBMbGeLW8jInwp+XlFHKF7kzzPyHNrx+FfA/xpivRCQG2CQiH2BtFf+hMeZhEbkHuAdrwMVMrNGBg4EJwGL7VjUhKEg4KTGakxKjuTC9D2DVSA4W1fZrbc8t5OvsAt7ZVjsnq0dMOCP6xBISJHy8+zAVdtNhTkEpd7++lb2HiklLjm9Qa3Gtubgmmmb3lPl2F2EhQc6+l9iIEBKiwzgpsUvdWoudUOo3nflTf4y/LimjlC/yaNuPMWY/1m68GGOKRWQHkARcBEyxT3sByMBKUBcBLxpjDPCliMSLSG/7dVQriQi94iLoFRfB1GE9nccLj1eyfX8h3+YW2c2ERew6WNzg+vKqGp78aF+D4zERIXUSysCELo00i9UmmrjIUL75agMzpp6pc76UUm7rsM4JERkAjAbWAT0dSccYs19EetinJQFZLpdl28c0QbWDuKhQTjs5gdNOTnAeG3jPOw3Xr7K9fetkZ8KJjghp09pl2RFBmpyUUm3SIQlKRKKB14FfGmOKmpmj0dgTDb4/RWQBsAAgMTGRjIyMdorU+0pKSjq0PN0ihLyyhimqe4RwZM9mjpzg63d0eTxNy+O7AqksEHjlaQuPJygRCcVKTi+77B110NF0JyK9gUP28Wwcvf+WZBpZ788YswRYApCSkmKmTJniqfA7nDVKbEqHvd/v4nIaHXn2u4tGMqUd+lI6ujyepuXxXYFUFgi88rSFRyfN2KPyngN2GGP+4vLUm8B8+/58YJXL8avFcipQqP1PnnXx6CT+eMlIkuIjEaw5O3+8ZKR29CulvM7TNahJwFXANhFxrEj5/4CHgWUich3wI3CZ/dy7WEPM92INM9c9qDqAjjxTSvkiT4/i+5TG+5UApjZyvgFu9mRMSiml/EPnWxdHKaWUX9AEpZRSyidpglJKKeWTNEEppZTySZqglFJK+SRNUEoppXySJiillFI+SROUUkopn6QJSimllE/SBKWUUsonaYJSSinlkzRBKaWU8kmaoJRSSvkkTVBKKaV8kiYopZRSPsnjW757Q2VlJdnZ2ZSVlXk7FLfFxcWxY8cOb4fRbrQ8vq2x8kRERJCcnExoaKiXolLKEpAJKjs7m5iYGAYMGIC167z/KC4uJiYmxtthtBstj2+rXx5jDHl5eWRnZzNw4EAvRqZUgDbxlZWV0b17d79LTkp5m4jQvXt3v2x9UIEnIBMUoMlJqTbS/zvKVwRsglJKKeXfNEEppZTySZqglFJK+SRNUKpdvfjii6SlpZGens5VV13Fe++9x4QJExg9ejTnnHMOBw8eBODjjz9m1KhRjBo1itGjR1NcXAzAn/70J8aNG0daWhr33XefN4uilPKygBxmrrxj+/btPPTQQ3z22WckJCSQn59PSUkJX375JSLCP/7xDx555BH+/Oc/8+ijj/L3v/+dSZMmUVJSQkREBKtXr2bPnj2sX78eYwyzZs3ik08+4YwzzvB20ZRSXqAJSrWbtWvXcumll5KQkABAt27d2L17N9dffz379++noqLCObdm0qRJ3HHHHcybN49LLrmE5ORkVq9ezerVqxk9ejQAJSUl7NmzRxOUUp2UNvGpdmOMaTBE+a677uKWW25h27ZtPPPMM875Nffccw//+Mc/KC0t5dRTT2Xnzp0YY7j33nvZsmULW7ZsYe/evVx33XXeKIpSygdoglLtZurUqSxbtoy8vDwA8vPzKSoqIikpCYAXXnjBee6+ffsYOXIkd999N2PHjmXnzp1Mnz6df/7zn5SUlACQk5PDoUOHOr4gSimfoE18qt2MGDGC3/zmN5x55pkEBwczevRo7r33Xi677DKSkpI49dRT+f777wH461//ykcffURwcDDDhw9n5syZhIeHs2PHDiZOnAhAdHQ0//73v+nRo4c3i6WU8hKPJigR+SdwAXDIGJNqH+sGLAUGAJnA5caYo2K1Df0NOA84DlxjjPnKk/Gp9jd//nzmz5/vfFxcXMzcuXMbnPfEE080ev3tt9/O7bff7rH4lFL+w9NNfP8CZtQ7dg/woTFmMPCh/RhgJjDY/lkALPZwbEoppXyYRxOUMeYTIL/e4YsAR2fEC8DFLsdfNJYvgXgR6e3J+JRSSvkub/RB9TTG7AcwxuwXEUcHQxKQ5XJetn1sf/0XEJEFWLUsEhMTycjIqPN8XFycc+Knv6murvbb2Buj5fFtTZWnrKyswf8rX1dSUuJ3MTcn0MrTFr40SKKxJZRNYycaY5YASwBSUlLMlClT6jy/Y8cOv92zJ9D3G/J3naU8ERERzvlo/iIjI4P63wX+LNDK0xbeGGZ+0NF0Z986xhFnA31dzksGcjs4NqWUUj7CGwnqTcAxzGs+sMrl+NViORUodDQFKqWU6nw8mqBE5BXgCyBFRLJF5DrgYeBcEdkDnGs/BngX+A7YCzwL3OTJ2Fyt3JzDpIfXMvCed5j08FpWbs7pqLeuY8qUKXz1lTWyfsaMGaSnpzNixAhuvPFGqqurT+i1//Wvf3HLLbc0e86iRYt49NFH2/we5513HgUFBWRmZpKamtri+bm5uVx66aVuv09eXh5nnXUW0dHRDcq0dOlS0tLSGDFiBL/+9a9bjPVEuZahPeJSStXy9Ci+K4wxvY0xocaYZGPMc8aYPGPMVGPMYPs23z7XGGNuNsacbIwZaYzZ6MnYHFZuzuHeN7aRU1CKAXIKSrn3jW1eS1IOy5Yt4+uvv+abb77h8OHDLF++3KvxtMa7775LfHx8q8/v06cPr732mtvvExERwQMPPNAgmebl5XHXXXfx4Ycfsn37dg4ePMiHH37YLrE2xbUM7RGXUqpWwC919Pu3tjPnmS+a/Pn1a1spraxbOymtrObXr21t8prfv7W9xfetv+3E8uXLSU1NJT093bn4aWlpKXPnziUtLY05c+ZQWlrqvD42NhaAqqoqKioqGt2Gu6SkhGuvvZaRI0eSlpbG66+/DsB///tfxowZQ3p6OlOnTm1w3VtvvdXoFhiunn32WWbOnElpaSn79u1jxowZnHLKKZx++uns3Lmz0TIPGDCAI0eOOOOeP38+EydO5NJLL+X48eMNznetaVVXV3PnnXc6y+KYyLthwwZOO+000tPTGT9+PMXFxXTp0oXJkycTERFR5/W+++47hgwZQmJiIgDnnHOO89+kqVgzMzMZOnQo119/PampqcybN481a9YwadIkBg8ezPr16wGrdnnVVVdxwQUXMHjwYJ599tkGZWiPuKKjo533X3vtNa655hoADh48yOzZs0lPTyc9PZ3PP/+cDRs2kJaWRllZGceOHWPEiBF88803jb6uUv7Il0bxeUVFdY1bx1ujsW0nzjzzTN5//32SkpKcTUuLFy8mKiqKrVu3snXrVsaMGVPndaZPn8769euZOXOmsxnp6aefBuDGG2/kgQceIC4ujm3btgFw9OhRDh8+zM9//nM++eQTBg4cSH5+/WloMHny5Ea3wHB48sknWb16NStXriQ8PJwFCxbw9NNPM3jwYNatW8dNN93E2rVrm/032LVrF8899xxpaWncfvvtPPXUU9x5551Nnr9kyRK+//57Nm/eTEhICPn5+VRUVDBnzhyWLl3KuHHjKCoqIjIyssnXGDRoEDt37iQzM5Pk5GRWrlxJRUVFs3EC7N27l+XLl7NkyRLGjRvHf/7zHz799FPefPNN/vCHP7By5UoAtm7dygcffEBQUBCjR4/m/PPPb/G1TyQuV7fddhtnnnkmK1asoLq6mpKSEuLi4pg1axa//e1vKS0t5corr2xV06pS/iLgE9R9F45o9vlJD68lp6C0wfGk+EiW3jCxTe/Z2LYTkyZN4pprruHyyy/nkksuAeCTTz7htttuAyAtLY20tLQ6r/P+++9TVlbGvHnzWLt2Leeeey433nij8/k1a9bw6quvOh937dqVt956izPOOMO5rUW3bt0axJednc2cOXMabIEB8NJLLzm/RENDQykpKeHzzz/nsssuc55TXl7e4r9B3759mTRpEsXFxVx55ZU8/vjjzSaoNWvWcOONNxISEuKMe9u2bfTu3Ztx48YBtbXKpnTt2pXFixczZ84cgoKCOO200/juu+9ajHXgwIGMHDkSsNYTnDp1KiLCyJEjyczMdJ530UUXERkZSUxMDGeddRbr169n1KhRLb5+W+NytXbtWl588UUAgoODiYuLA2DhwoWMGzeOiIgIHn/8cbdeUylfF/BNfC25a3oKkaHBdY5FhgZz1/SUNr9mY9tOPP300zz44INkZWUxatQo54rfjTXduYqIiGDWrFmsWrWqwXONvU9jx+q79dZbG90CAyA1NZXMzEyys7MBqKmpIT4+3rkFxpYtW9ixYwfV1dXOHXEXLlzY4D3qxyAirFu3znnNm2++2S5lqe/CCy9k3bp1fPHFF6SkpDB48OAWYw0PD3feDwoKcj4OCgqiqqqq2TK1d1yur+n6uTTFsSlkcXFxq85Xyp90+gR18egk/njJSJLiIxGsmtMfLxnJxaOT2vyajW07sW/fPiZMmMD9999PQkICWVlZnHHGGbz88ssAfPPNN2zduhWw+pb277dG2FdVVfHuu+8ydOjQBu8zbdo0nnzySefjo0ePMnHiRD7++GPnquGNNfEVFhY2ugUGwOjRo3nmmWeYNWsWubm5xMbGMnDgQOcgDWMMX3/9NcHBwc6Edf/99zd4jx9//JEvvvgCgFdeeYXJkyczYcIE5zWzZs1qUJann37amRDy8/MZOnQoubm5bNiwAbAmlbomjMY4tuc4evQoTz31FNdff32LsbbWqlWrKCsrIy8vj4yMDGfNrjVaG1fPnj3ZsWMHNTU1rFixwnn91KlTWbzYWp6yurqaoqIiABYsWMADDzzAvHnzuPvuu9tcNqV8UcA38bXGxaOTTigh1dfYthNFRUXs2bMHYwxTp04lPT2dlJQUrr32WtLS0hg1ahTjx48H4NixY8yaNYvy8nKqq6s5++yznU17rn1Qv/3tb7n55ptJTU0lODiY++67j0suuYQlS5ZwySWXUFNTQ48ePfjggw/qxLdo0aJGt8BwmDx5Mo8++ijnn38+H3zwAS+//DK/+MUvePDBB6msrGTu3Lmkp6c3+28wbNgwXnjhBT799FNSUlL4xS9+0ez5119/Pbt37yYtLY3Q0FB+/vOfc8stt7B06VJuvfVWSktLiYyMZM2aNURHRzNgwACKioqoqKhg5cqVrF69muHDh3P77bfz9ddfA1bz15AhQ1r/wbVg/PjxXHbZZeTk5PC73/2OPn361GkCBE44rocffpgLLriAvn37kpqa6twb629/+xsLFizgueeeIzg4mMWLF7Nnzx5CQkL46U9/SnV1Naeddhpr167l7LPPbrcyK+VNYkyjqwn5jZSUFLNr1646x3bs2MGwYcO8FNGJ6SxL6fibRYsWER0dzQ033BAQ5XFo6vPxx/9DgbY0UKCVR0Q2GWPGunNNp2/iU0op5Zu0iU+pVli0aBFAQK1krpSv0xqUUkopn6QJSimllE/SBKWUUsonaYJSSinlkzRBAWxdBo+lwqJ463brMq+E4e/bbXSEp59+2rnkjzuWL1/OiBEjCAoKYuPG2oXyKyoqnAvupqenN7nF9saNG53LUp0o1zKcaFxKBTIdxbd1Gbx1G1Ta6/EVZlmPAdIu91pYy5YtIzY2FmMMl156KcuXL2fu3Llei8dd1dXVBAcHt3yim1zXInRHamoqb7zxBjfccEOd445Vybdt28ahQ4eYOXMmGzZsICio7t9uY8eOZezYse0yis+1DCcal1KBLPB/29+7B54/v+mfVbfUJieHylLreFPXvHdPi2/bGbfbiI6OZuHChUyYMIEvvviCDz/8kMmTJzNy5Eh+9rOfOReZbWwLjerqau666y7GjRtHWloazzzzTKPv4VrL27t3L+eccw7p6emMGTOGffv2AfDII484ax733GN9VsOGDSMlpeH6it9++63z36hHjx7Ex8fXqck4ZGRkcMEFFzhjmD9/PtOmTWPAgAG88cYb/PrXv2bkyJHMmDGDyspKwFpV4u6772b8+PGMHz+evXv3NijDicZVv2Z8wQUXOGtbjf0e3Hbbbc5lld5//31mzJhBTU3bV+5XypO0BlXdxMrcTR1vhc663caxY8dITU3l/vvvp6ysjMGDB7Nq1SrGjBnD1VdfzeLFi7npppsa3ULjueeeIy4ujg0bNlBeXs6kSZOYNm1anZXW65s3bx733HMPs2fPpqysjJqaGt577z1WrlzJunXriIqKarT8rtLT01m1ahVz584lKyuLTZs2kZWV5Vx2qin79u3jo48+4ttvv2XixIm8/vrrPPLII8yePZt33nmHiy++GLD+0Fi/fj0vvvgiv/zlL3n77bebfd0Tjcuhqd+Dhx9+mHHjxnH66adz2223sWzZMq2VKZ8V+Alq5sPNP/9YqtWsV19cX7j2nTa9ZWfdbiM4OJif/OQngLUf1MCBAxk8eDAA8+fP5+9//ztTp05tdAuN1atXs3XrVufutIWFhezZs6fJBFVcXExOTg6zZ88GcG4SuGbNGq699lqioqKaLL+rn/3sZ+zYsYOxY8fSv39/TjvtNOeWH82ZOXMmoaGhjBw5kurqambMmAHQYIuOK664wnn7q1/9qsXXPdG4HL788stGfw+ioqJ49tlnOeOMM3jsscc46aSTWv2aSnU0/dNp6kIIrbcJXmikdbyNOut2GxEREc5+p6bWeGwqPmMMTzzxhPM9vv/+e6ZNm8ZvfvMb5/vUP9+d129KSEgIjz32GFu2bGHVqlUUFBQwePBgVqxY4XzfxprWXLfkCA0Ndb5nc1t0eCKukJCQOk10js+yuX+Hbdu20b17d3Jzc1sdj1LeoAkq7XK48HGrxoRYtxc+fkIDJHS7DRg6dCiZmZnOfqGXXnqJM888s8ktNKZPn87ixYud/Te7d+/m2LFjPPTQQ873cRUbG+us6YFVR/oy0AAACfVJREFUqzt+/DjTpk3jn//8p3OL+Zaa+I4fP86xY8cA+OCDDwgJCWH48OHMnj3b+b5jx7q1vmUdS5cudd5OnNj6DTBbG9eAAQPYsmULNTU1ZGVlObeob+r34IcffuDPf/4zmzdv5r333nN+Dkr5osBv4muNtMvbdcSebrdh1aaef/555s+fT01NDePGjePGG28kLCys0S00rr/+ejIzMxkzZgzGGBITE53JpykvvfQSN9xwAwsXLiQ0NJTly5czY8YM55d3WFgY5513Hn/4wx9YsWIFt956K4cPH+b8889n1KhRvP/++xw6dIjp06cTFBREUlISL730klufdUvKy8uZMGECNTU1vPLKKw2eP9G4Jk2a5NwRODU11dmPmZiY2OD3YPXq1Vx33XU8+uij9OnTh+eee46rr76aTZs2OZtIlfIlut2GjwmU7SkcOnN5BgwYwMaNG519kb5It9vwXYFWHt1uQymlVMDQJj6lPKT+brtKKfcEbA3K35sulfIW/b+jfEVAJqiIiAjy8vL0P5pSbjLGkJeXp4MmlE8IyCa+5ORksrOzOXz4sLdDcVtZWVlAfTloeXxbY+WJiIggOTnZSxEpVSsgE1RoaGizS+T4soyMDEaPHu3tMNqNlse3BVp5VGDxuSY+EZkhIrtEZK+ItLwqq1JKqYDkUwlKRIKBvwMzgeHAFSIy3LtRKaWU8gafSlDAeGCvMeY7Y0wF8CpwkZdjUkop5QW+1geVBLguLZ4NTKh/kogsABbYD8tF5JsOiK2jJABHvB1EO9Ly+LZAKk8glQUCrzwNNz5rga8lqMaWX24wVtwYswRYAiAiG91dPsOXaXl8m5bHdwVSWSAwy+PuNb7WxJcN9HV5nAzongBKKdUJ+VqC2gAMFpGBIhIGzAXe9HJMSimlvMCnmviMMVUicgvwPhAM/NMYs72Fy5Z4PrIOpeXxbVoe3xVIZQEtj/9vt6GUUiow+VoTn1JKKQVoglJKKeWj/DZBBeKSSCKSKSLbRGRLW4ZkepuI/FNEDrnOSxORbiLygYjssW+7ejPG1mqiLItEJMf+fLaIyHnejNEdItJXRD4SkR0isl1EbreP++vn01R5/PIzEpEIEVkvIl/b5fm9fXygiKyzP5+l9uAxn9dMef4lIt+7fD6jmn0df+yDspdE2g2cizU0fQNwhTHmW68GdoJEJBMYa4zxy8l5InIGUAK8aIxJtY89AuQbYx62/5Doaoy525txtkYTZVkElBhjHvVmbG0hIr2B3saYr0QkBtgEXAxcg39+Pk2V53L88DMSEQG6GGNKRCQU+BS4HbgDeMMY86qIPA18bYxZ7M1YW6OZ8twIvG2Mea01r+OvNShdEskHGWM+AfLrHb4IeMG+/wLWl4jPa6IsfssYs98Y8//bO7sQq6oojv/+aaWNmahT1IOJQlSEaJkVWlqIVEQlJSEYWi9JmZj0Yi9FYWSU9mAUWNSLWhOOX/Q1kV+haeYHampROYUk2kOaSQQ6q4e9bnO83flwRp1z7qwfHGaffc/Zd23WvXvN3vvc/9ru5ePAPpJyS1H901J/Cokl/vLTC/0w4C6gNJgXyT8t9eeMKGqAqiSJVNgPZwYDGiRtczmnauAKMzsEaVABLu9iezrLDEm7fAmwEMth5UgaDIwAtlAF/inrDxTUR5J6SNoJHAG+AH4CjprZSb+kUONceX/MrOSfue6fBZIubq2NogaodkkiFZDRZnYjSc39KV9mCvLDW8BQYDhwCHi9a805cyT1AZYBs8zsz662p7NU6E9hfWRmp8xsOElBZxRwXaXLzq9VHae8P5JuAOYA1wI3A/2BVpeTixqgqlISycx+879HgOWkD2nROez7BaV9gyNdbE+HMbPD/qVrAhZRMP/4XsAyYLGZ1Xt1Yf1TqT9F9xGAmR0F1gG3Av0klQQVCjnOZfpzty/Nmpn9A7xHG/4paoCqOkkkSTW+2YukGmACUA0q7auAqV6eCqzsQls6RWkgdyZSIP/4pvW7wD4zm595qZD+aak/RfWRpFpJ/bzcGxhP2ldbCzzslxXJP5X6sz/zz5BI+2mt+qeQT/EB+OOjb9AsiTS3i03qFJKGkGZNkCSolhStT5KWAuNIaQIOA88DK4A6YBDwKzDJzHL/8EELfRlHWjoyoBF4orR/k3ckjQG+AnYDTV79HGnfpoj+aak/kymgjyQNIz0E0YM0cagzsxd9XPiAtBy2A5jis49c00p/1gC1pG2ancD0zMMU/2+nqAEqCIIgqG6KusQXBEEQVDkRoIIgCIJcEgEqCIIgyCURoIIgCIJcEgEqCIIgyCURoILgLCBpnaSR5+F9ZrqC9+Kz3O40SQvPZptB0FlylfI9CLojknpm9Nba4kngHjM7cC5tCoI8EDOooNsgabDPPhZ5jpoG/5X7aTMgSQM99UlpZrFC0mrPYzND0mxJOyRtltQ/8xZTJG2StEfSKL+/xkVLt/o9D2Ta/UjSaqChgq2zvZ09kmZ53dvAEGCVpGfKrp8mqV7SZ0q5g17NvDZZKc/YHknzMvWPSfpB0npgdKa+VtIyt3mrpNFeP1bNeXx2lJRPguCcYWZxxNEtDmAwcBIY7ud1pF/mQ9IKG+nlgUCjl6cBPwKXkn4Bf4z063eABSSR0tL9i7x8B7DHyy9n3qMfKY9Zjbd7EOhfwc6bSAoJNUAf4DtghL/WCAyscM804GfgMqAX8AtJr/IqkkJELWnFZA1JYubKTP1FwEZgobe1BBjj5UEkOSGA1SRBY9yunl3t0ziq+4glvqC7ccDMdnp5GylotcVaSzmHjks6RhqoIQWRYZnrlkLKJSWpr2uRTQDul/SsX9OLNOhDSkFQSVZoDLDczE4ASKoHbidJ3bTGl2Z2zO/ZC1wNDADWmdnvXr+YFEApq/8QuMbrxwPXJ7k0APr6bGkjMN/bqDezg23YEwSdIgJU0N3I6pidAnp7+STNS969WrmnKXPexOnfoXLdMCNpjj1kZt9nX5B0C3CiBRsrpZNpD+V969lGWy3pnF0A3GZmf5fVvyLpY+BeYLOk8Wa2v4O2BkGbxB5UECQaSUtr0KwefaY8Av8JmR7z2cznwNOu3oykEe1oZwPwoKRLXNl+IkkYtSNsAcb6vloPkpjqeq8fJ2mAp62YlLmnAZhROpE03P8ONbPdZjYP+JaU1ycIzhkxgwqCxGtAnaRHSfs0HeEPSZuAvsDjXvcSSXV/lwepRuC+1hoxs+2S3ge+8ap3zKyt5b2W2jokaQ4pbYOAT8xsJYCkF4CvSYn9tpOUpwFmAm9K2kUaIzYA04FZku4kzc72Ap92xKYgaC+hZh4EQRDkkljiC4IgCHJJBKggCIIgl0SACoIgCHJJBKggCIIgl0SACoIgCHJJBKggCIIgl0SACoIgCHLJvxs1JOVCbG6rAAAAAElFTkSuQmCC\n", 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "for test in ['Castep_Al3x3_*']:\n", - " for perf_var in ['total_time', 'runtime_real', 'parallel_efficiency']:\n", - " ylims = {\n", - " 'total_time': (0, 600),\n", - " 'runtime_real': (0, 600),\n", - " 'parallel_efficiency': (0, 80),\n", - " }\n", - " df = modules.utils.tabulate_last_perf(test, 'num_nodes', perf_var)\n", - " if df is None:\n", - " print('%s: %s - No results found' % (test, perf_var))\n", - " continue\n", - " ax = df.plot(grid=True, style='o-')\n", - " ax.set_xlabel('number of nodes')\n", - " ax.set_xlim(0, 35)\n", - " ax.set_ylim(*ylims[perf_var])\n", - " ax.set_ylabel(perf_var)\n", - " ax.set_title('%s: %s' % (test, perf_var))\n", - " plt.tight_layout()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.7" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/benchmarks/apps/legacy/castep/downloads/.empty b/benchmarks/apps/legacy/castep/downloads/.empty deleted file mode 100644 index e69de29b..00000000 diff --git a/benchmarks/apps/legacy/castep/reframe_castep.py b/benchmarks/apps/legacy/castep/reframe_castep.py deleted file mode 100644 index 94ce33bb..00000000 --- a/benchmarks/apps/legacy/castep/reframe_castep.py +++ /dev/null @@ -1,114 +0,0 @@ -import reframe as rfm -import reframe.utility.sanity as sn -import sys, os, urllib -sys.path.append('.') -from modules.reframe_extras import scaling_config -from modules.utils import parse_time_cmd - -BENCHMARKS = { - 'Al3x3': { - 'url': "http://www.castep.org/CASTEP/Al3x3?action=download&upname=al3x3.tgz", - 'strip_dirs': 2, # number of levels inside .tgz before the actual files - 'seedname': 'al3x3' # *.param and *.cell name, not always same as benchmark name - }, - 'DNA': { - 'url': "http://www.castep.org/CASTEP/DNA?action=download&upname=DNA.tgz", - 'strip_dirs': 1, - 'seedname': 'polyA20-no-wat' - }, - 'TiN': { - 'url': "http://www.castep.org/CASTEP/TiN?action=download&upname=TiN.tgz", - 'strip_dirs': 1, - 'seedname': 'TiN-mp' - } - } - - -class Castep_Base(rfm.RunOnlyRegressionTest): - """ Base class for Castep - downloads benchmark to ./downloads/ and unpacks .tgz to stage dir. - - Requires child classes to set: - - `self.benchmark': key from BENCHMARKS - """ - # TODO: calculate scf cycles/hour or /sec - def __init__(self, benchmark, part, num_tasks, num_tasks_per_node): - - self.benchmark = benchmark - self.num_tasks = num_tasks - self.num_tasks_per_node = num_tasks_per_node - self.num_nodes = int(self.num_tasks / self.num_tasks_per_node) - - self.valid_systems = [part] - self.valid_prog_environs = ['castep'] - - self.sourcesdir = 'downloads' # will actually copy all benchmark .tgz files to stage dir - self.prerun_cmds = [ - 'tar --strip-components=%i -xf %s.tgz' % (BENCHMARKS[self.benchmark]['strip_dirs'], self.benchmark), - 'time \\'] - self.executable = 'castep' - - self.seedname = BENCHMARKS[self.benchmark]['seedname'] - self.executable_opts = [self.seedname] - - self.exclusive_access = True - - self.tags |= {self.benchmark, 'num_procs=%i' % self.num_tasks, 'num_nodes=%i' % self.num_nodes} - self.logfile = '%s.castep' % self.seedname - self.keep_files = [self.logfile] - - self.sanity_patterns = sn.all([ - sn.assert_found(r'Total time', self.logfile), - ]) - self.perf_patterns = { - # from castep output: - 'total_time': sn.extractsingle(r'Total time\s+=\s+([\d.]+) s', self.logfile, 1, float), - 'peak_mem': sn.extractsingle(r'Peak Memory Use\s+=\s+([\d.]+) kB', self.logfile, 1, float), - 'parallel_efficiency': sn.extractsingle(r'Overall parallel efficiency rating: \S+ \((\d+)%\)', self.logfile, 1, float), - # from `time`: - 'runtime_real': sn.extractsingle(r'^real\s+(\d+m[\d.]+s)$', self.stderr, 1, parse_time_cmd), - } - self.reference = { - '*': { - 'total_time': (0, None, None, 's'), - 'peak_mem': (0, None, None, 'kB'), - 'parallel_efficiency': (0, None, None, '%'), - 'runtime_real': (0, None, None, 's'), - } - } - - @rfm.run_after('setup') - def download_benchmark(self): - """ Download benchmark to the tests benchmark/ directory - NB this must exist. """ - download_path = os.path.join(self.prefix, 'downloads', '%s.tgz' % self.benchmark) - if not os.path.exists(download_path): - urllib.request.urlretrieve(BENCHMARKS[self.benchmark]['url'], download_path) - - -@rfm.parameterized_test(*scaling_config()) -class Castep_Al3x3(Castep_Base): - """ Medium benchmark Al3x3: http://www.castep.org/CASTEP/Al3x3 """ - def __init__(self, part, num_tasks, num_tasks_per_node): - - super().__init__('Al3x3', part, num_tasks, num_tasks_per_node) - self.time_limit = '2h' - -@rfm.simple_test -class Castep_TiN(Castep_Base): - """ Small benchmark TiN: http://www.castep.org/CASTEP/TiN - - Not expected to scale well past 8x processes. - """ - - def __init__(self): - - super().__init__('TiN', '*', 8, 8) - self.time_limit = '1h' - - -@rfm.parameterized_test(*scaling_config()) -class Castep_DNA(Castep_Base): - """ Large benchmark DNA: http://www.castep.org/CASTEP/DNA """ - def __init__(self, part, num_tasks, num_tasks_per_node): - - super().__init__('DNA', part, num_tasks, num_tasks_per_node) - self.time_limit = '1d' # TODO: adjust? diff --git a/benchmarks/apps/legacy/gromacs/README.md b/benchmarks/apps/legacy/gromacs/README.md deleted file mode 100644 index defa6e55..00000000 --- a/benchmarks/apps/legacy/gromacs/README.md +++ /dev/null @@ -1,60 +0,0 @@ -# Gromacs - -Performance tests of the Gromacs molecular dynamics code http://www.gromacs.org/ using benchmarks from HECBioSim: http://www.hecbiosim.ac.uk/benchmarks: - - 61K atom system - 1WDN Glutamine-Binding Protein - - 1.4M atom system - A Pair of hEGFR Dimers of 1IVO and 1NQL - - 3M atom system - A Pair of hEGFR tetramers of 1IVO and 1NQL - -**NB**: Gromacs 2016 is required due to the benchmark file used. - -Each benchmark is run on a range of number of nodes, from 1 up to all available. Each run uses as many mpi tasks (processes) per node as there are physical cores, and the default Gromacs `-ntomp` OpenMP setting, which appears to add threads to use all cores (physical or logical). For further information on Gromacs parallelisation schemes see [here](http://www.gromacs.org/Documentation/Acceleration_and_parallelization) and [here](http://manual.gromacs.org/documentation/current/onlinehelp/gmx-mdrun.html#gmx-mdrun). - -The following performance variables are captured: -- 'ns_per_day': Nano-seconds of simulation completed per day -- 'hour_per_ns': Hours required per nano-second of simulation -- 'core_t' (s): Gromacs-reported CPU time (sum for all processes) -- 'wall_t' (s): Gromacs-reported wall-clock time -- 'runtime_real' (s): Wallclock time reported by `time` for entire MPI program start to finish (i.e. may include additional setup/teardown time not captured in 'wall_t'). - - -# Installation - OpenHPC - -NB: The Gromacs docs recommend using `fftw`. While this is available as the OpenHPC package `fftw-gnu8-openmpi3-ohpc` the Gromacs docs recommend letting Gromacs install its own. - -This assumes e.g.: - - cmake - - gnu8-compilers-ohpc - - openmpi3-gnu8-ohpc - - -``` -wget http://ftp.gromacs.org/pub/gromacs/gromacs-2016.4.tar.gz -tar -xf gromacs-2016.4.tar.gz -cd gromacs-2016.4 -mkdir build_mpi -cd build_mpi -module load gnu8 openmpi3 -cmake ../ -DGMX_MPI=ON -DGMX_OPENMP=ON -DGMX_GPU=OFF -DGMX_X11=OFF -DGMX_DOUBLE=OFF -DGMX_BUILD_OWN_FFTW=ON -DREGRESSIONTEST_DOWNLOAD=ON -DCMAKE_INSTALL_PREFIX= -make -make check -make install # to DCMAKE_INSTALL_PREFIX above -``` - -# Installation - Spack - -Install `gromacs@2016` with default variants. - -See note in main README re. usage of spack with existing mpi library installations. - -# Usage - -Run using e.g.: - - cd hpc-tests - conda activate hpc-tests - reframe/bin/reframe -C reframe_config.py -c apps/gromacs/ --run --performance-report - -Or for example, to run only the 3000k atom case on 1 node only for a single partition: - - reframe/bin/reframe -C reframe_config.py -c apps/gromacs/ --run --performance-report --system alaska:ib-gcc9-openmpi4-ucx --tag 'num_nodes=1$' --tag '3000k-atoms' - \ No newline at end of file diff --git a/benchmarks/apps/legacy/gromacs/build.sh b/benchmarks/apps/legacy/gromacs/build.sh deleted file mode 100755 index d16b78a1..00000000 --- a/benchmarks/apps/legacy/gromacs/build.sh +++ /dev/null @@ -1,43 +0,0 @@ -#!/usr/bin/bash -# Usage: -# build.sh path/to/build.json -# - -#set -x #echo on -set -e # die on error - -CONFIG=$(realpath $1) # makes it cd-proof -GROMACS_VER=$(jq -r '.version' $CONFIG) -TAR_NAME="gromacs-${GROMACS_VER}.tar.gz" -UNTAR_DIR="gromacs-${GROMACS_VER}" # assumption about tar structure! -DOWNLOAD_PATH="http://ftp.gromacs.org/pub/gromacs/${TAR_NAME}" -CONF_DIR="$(dirname $1)" -BUILD_DIR="$(realpath ${CONF_DIR}/build/)" -INSTALL_DIR=$(realpath ${CONF_DIR}/install/) -echo "Will build v$GROMACS_VER in $BUILD_DIR & install to $INSTALL_DIR" - -# start in the pwd, i.e. hpc-tests/gromacs: -echo "downloading and unpacking ..." -if [ ! -f $TAR_NAME ]; then wget $DOWNLOAD_PATH; fi -tar -xf $TAR_NAME -echo "unpacked to $UNTAR_DIR" -ABS_UNTAR_DIR=$(realpath $UNTAR_DIR) -echo "loading modules ..." -module purge -module load $(jq -r '.modules.compiler' $CONFIG) -module load $(jq -r '.modules.mpi' $CONFIG) -module load $(jq -r '.modules.other | @sh' $CONFIG | tr -d "'") -module list - -# now cd to $BUILD_DIR -mkdir -p $BUILD_DIR -cd $BUILD_DIR -CMAKE_OPTS="$(jq -r '.cmake | join(" ")' $CONFIG | tr -d "'") -DCMAKE_INSTALL_PREFIX=$INSTALL_DIR" -echo "running cmake ..." -cmake $ABS_UNTAR_DIR $CMAKE_OPTS -echo "running make ..." -make -echo "running make check..." -make check -echo "running make install ..." -make install diff --git a/benchmarks/apps/legacy/gromacs/gromacs.ipynb b/benchmarks/apps/legacy/gromacs/gromacs.ipynb deleted file mode 100644 index 821961aa..00000000 --- a/benchmarks/apps/legacy/gromacs/gromacs.ipynb +++ /dev/null @@ -1,2034 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Gromacs - HECBioSim Benchmarks\n", - "\n", - "Results from the [Gromacs](http://www.gromacs.org/) molecular dynamics code on 3x [HECBioSim](http://www.hecbiosim.ac.uk/benchmarks) benchmarks:\n", - "- 61K atom system - 1WDN Glutamine-Binding Protein\n", - "- 1.4M atom system - A Pair of hEGFR Dimers of 1IVO and 1NQL\n", - "- 3M atom system - A Pair of hEGFR tetramers of 1IVO and 1NQL" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "# Plotting setup\n", - "%matplotlib inline\n", - "import matplotlib.pyplot as plt\n", - "from matplotlib import ticker\n", - "from IPython.display import display, HTML\n", - "\n", - "import pandas as pd\n", - "import os, sys\n", - "from pprint import pprint\n", - "sys.path.extend(('../../reframe', '../../')) # the `modules` package imports `reframe` so need that in sys.modules\n", - "import modules" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Performance vs number of nodes\n", - "\n", - "Each benchmark is run on a range of number of nodes, from 1 up to all available. Each run uses as many mpi tasks (processes) per node as there are physical cores, and the default Gromacs `-ntomp` OpenMP setting, which appears to add threads to use all cores (physical or logical). For further information on Gromacs parallelisation schemes see [here](http://www.gromacs.org/Documentation/Acceleration_and_parallelization) and [here](http://manual.gromacs.org/documentation/current/onlinehelp/gmx-mdrun.html#gmx-mdrun).\n", - "\n", - "The plots show results for the most-recent run on each system/partition/environment combination, against the number of nodes used for each run. Parameters are:\n", - "- `runtime_real`: Wallclock time in seconds. Lower values are better performance. \n", - "- `ns_per_day`: Nanoseconds of simulation completed per day. Higher values are better performance." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Gromacs_*61k_*: runtime_real\n" - ] - }, - { - "data": { - "text/html": [ - "
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casealaska:ib-gcc9-openmpi4-ucxalaska:roce-gcc9-openmpi4-ucxcsd3:cclake-ib-gcc9-ompi3-ucxcsd3:cclake-roce-gcc9-ompi3-ucxalaska:[roce/ib]-gcc9-openmpi4-ucxcsd3:cclake-[roce/ib]-gcc9-ompi3-ucx
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32NaNNaN83.38291.981NaN1.10
56NaNNaN41.65960.150NaN1.44
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" - ], - "text/plain": [ - "case alaska:ib-gcc9-openmpi4-ucx alaska:roce-gcc9-openmpi4-ucx \\\n", - "num_nodes \n", - "1 2682.372 2612.366 \n", - "2 1384.552 1348.705 \n", - "4 757.530 778.321 \n", - "8 482.611 514.806 \n", - "16 330.865 340.760 \n", - "32 NaN NaN \n", - "56 NaN NaN \n", - "\n", - "case csd3:cclake-ib-gcc9-ompi3-ucx csd3:cclake-roce-gcc9-ompi3-ucx \\\n", - "num_nodes \n", - "1 1243.583 1245.213 \n", - "2 604.390 606.058 \n", - "4 309.685 309.769 \n", - "8 158.451 206.574 \n", - "16 82.239 139.529 \n", - "32 83.382 91.981 \n", - "56 41.659 60.150 \n", - "\n", - "case alaska:[roce/ib]-gcc9-openmpi4-ucx \\\n", - "num_nodes \n", - "1 0.97 \n", - "2 0.97 \n", - "4 1.03 \n", - "8 1.07 \n", - "16 1.03 \n", - "32 NaN \n", - "56 NaN \n", - "\n", - "case csd3:cclake-[roce/ib]-gcc9-ompi3-ucx \n", - "num_nodes \n", - "1 1.00 \n", - "2 1.00 \n", - "4 1.00 \n", - "8 1.30 \n", - "16 1.70 \n", - "32 1.10 \n", - "56 1.44 " - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Gromacs_*3000k_*: core_t\n" - ] - }, - { - "data": { - "text/html": [ - "
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casealaska:ib-gcc9-openmpi4-ucxalaska:roce-gcc9-openmpi4-ucxcsd3:cclake-ib-gcc9-ompi3-ucxcsd3:cclake-roce-gcc9-ompi3-ucxalaska:[roce/ib]-gcc9-openmpi4-ucxcsd3:cclake-[roce/ib]-gcc9-ompi3-ucx
num_nodes
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2177222.628172634.20267691.66067878.4530.971.00
4193927.787199250.27269369.35669388.2701.031.00
8247097.019263580.80370986.15792545.1511.071.30
16338805.728348938.32073686.440125017.6861.031.70
32NaNNaN149421.016164830.242NaN1.10
56NaNNaN130644.048188631.682NaN1.44
\n", - "
" - ], - "text/plain": [ - "case alaska:ib-gcc9-openmpi4-ucx alaska:roce-gcc9-openmpi4-ucx \\\n", - "num_nodes \n", - "1 171671.801 167191.398 \n", - "2 177222.628 172634.202 \n", - "4 193927.787 199250.272 \n", - "8 247097.019 263580.803 \n", - "16 338805.728 348938.320 \n", - "32 NaN NaN \n", - "56 NaN NaN \n", - "\n", - "case csd3:cclake-ib-gcc9-ompi3-ucx csd3:cclake-roce-gcc9-ompi3-ucx \\\n", - "num_nodes \n", - "1 69640.647 69731.954 \n", - "2 67691.660 67878.453 \n", - "4 69369.356 69388.270 \n", - "8 70986.157 92545.151 \n", - "16 73686.440 125017.686 \n", - "32 149421.016 164830.242 \n", - "56 130644.048 188631.682 \n", - "\n", - "case alaska:[roce/ib]-gcc9-openmpi4-ucx \\\n", - "num_nodes \n", - "1 0.97 \n", - "2 0.97 \n", - "4 1.03 \n", - "8 1.07 \n", - "16 1.03 \n", - "32 NaN \n", - "56 NaN \n", - "\n", - "case csd3:cclake-[roce/ib]-gcc9-ompi3-ucx \n", - "num_nodes \n", - "1 1.00 \n", - "2 1.00 \n", - "4 1.00 \n", - "8 1.30 \n", - "16 1.70 \n", - "32 1.10 \n", - "56 1.44 " - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# patterns need to capture both older Gromacs_61k_* and newer Gromacs_HECBioSim_61k_* names:\n", - "for test in ['Gromacs_*61k_*', 'Gromacs_*1400k_*', 'Gromacs_*3000k_*']:\n", - " for perf_var in ['runtime_real', 'ns_per_day', 'wall_t', 'core_t']:\n", - " df = modules.utils.tabulate_last_perf(test, 'num_nodes', perf_var)\n", - " print('%s: %s' % (test, perf_var))\n", - " ax = df.plot(grid=True, style='o-')\n", - " ax.set_xlabel('number of nodes')\n", - " ax.set_ylabel(perf_var)\n", - " ax.set_title('%s: %s' % (test, perf_var))\n", - " plt.tight_layout()\n", - " \n", - " modules.plots.add_roce_ib_factor(df)\n", - " display(df)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.7" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/benchmarks/apps/legacy/gromacs/reframe_gromacs.py b/benchmarks/apps/legacy/gromacs/reframe_gromacs.py deleted file mode 100644 index b6cd5dad..00000000 --- a/benchmarks/apps/legacy/gromacs/reframe_gromacs.py +++ /dev/null @@ -1,126 +0,0 @@ -""" Performance test using Gromacs molecular dynamics code: http://www.gromacs.org/ - - See README.md for details. -""" - -import reframe as rfm -import reframe.utility.sanity as sn -import os, sys, urllib, shutil, itertools -sys.path.append('.') -from modules.reframe_extras import scaling_config -from modules.utils import parse_time_cmd -from reframe.core.logging import getlogger - -# define parameterisation for all possible partitions as combination of benchmark cases and run sizes: -CASES = ['1400k-atoms', '61k-atoms', '3000k-atoms'] -sizes = scaling_config() -params = [[case] + list(size) for case, size in itertools.product(CASES, sizes)] # flatten to a single list per element - -@rfm.parameterized_test(*params) -class Gromacs_HECBioSim(rfm.RunOnlyRegressionTest): - """ Run HECBioSim Gromacs benchmarks. - - Runs for environments named "gromacs" only. - - This is parameterised to run on 1 node up to as many nodes are available. - Each run uses the same number of processes per node as there are physical cores. - - Also handles download/unpacking benchmark files. - - Args: - casename: str, directory name from the HECBioSim benchmark download, one of: - 1400k-atoms 20k-atoms 3000k-atoms 465k-atoms 61k-atoms - test_size: Number of nodes to use, possibly as fraction of partition size. See `modules.reframe_extras.ScalingTest.partition_fraction`. - """ - def __init__(self, casename, part, num_tasks, num_tasks_per_node): - - #self.name = 'Gromacs_%s_%s' % (casename.split('-')[0], test_size) # e.g. Gromacs_1400k_-2 - - self.casename = casename - self.num_tasks = num_tasks - self.num_tasks_per_node = num_tasks_per_node - self.num_nodes = int(num_tasks / num_tasks_per_node) - - self.tags |= {casename, 'num_procs=%i' % self.num_tasks, 'num_nodes=%i' % self.num_nodes} - - self.logfile = casename + '.log' - - self.valid_systems = [part] - self.valid_prog_environs = ['gromacs'] - - # created by download_benchmarks(): - self.sourcesdir = os.path.join(self.prefix, 'downloads', 'gromacs', self.casename) - - self.prerun_cmds = ['time \\'] - self.executable = 'gmx_mpi' - self.executable_opts = ['mdrun', '-s', 'benchmark.tpr', '-g', self.logfile, '-noconfout'] #, '-ntomp', '1'] add this to turn off threading - self.exclusive_access = True - self.time_limit = '1h' - - self.keep_files = [self.logfile] - self.sanity_patterns = sn.assert_found(r'Performance:', self.stderr) - self.perf_patterns = { - # from gromacs output: - 'ns_per_day': sn.extractsingle(r'Performance:\s+(\S+)\s+(\S+)', self.logfile, 1, float), - 'hour_per_ns': sn.extractsingle(r'Performance:\s+(\S+)\s+(\S+)', self.logfile, 2, float), - 'core_t': sn.extractsingle(r'\s+Time:\s+([\d.]+)\s+([\d.]+)\s+[\d.]+', self.logfile, 1, float), # "Core t (s)" - 'wall_t': sn.extractsingle(r'\s+Time:\s+([\d.]+)\s+([\d.]+)\s+[\d.]+', self.logfile, 2, float), # "Wall t (s)" - # from `time`: - 'runtime_real': sn.extractsingle(r'^real\s+(\d+m[\d.]+s)$', self.stderr, 1, parse_time_cmd), - } - self.reference = { - '*': { - 'ns_per_day': (0, None, None, 'ns/day'), - 'hour_per_ns': (0, None, None, 'hour/ns'), - 'core_t': (0, None, None, 's'), - 'wall_t': (0, None, None, 's'), - 'runtime_real': (0, None, None, 's'), - } - } - - # example output from logfile: - # - # Core t (s) Wall t (s) (%) - # Time: 73493.146 1148.330 6400.0 - # (ns/day) (hour/ns) - # Performance: 1.505 15.947 - # Finished mdrun on rank 0 Wed Jun 3 17:18:58 2020 - # - # - - @rfm.run_before('run') - def download_benchmarks(self, ): - """ Download & unpack HECBioSim Gromacs benchmarks - - NB: This saves and unpacks it to a persistent location defined by `self.sourcesdir` - - reframe will then copy it into the staging dir. - """ - - benchmark_url = 'http://www.hecbiosim.ac.uk/gromacs-benchmarks/send/2-software/8-gromacs-bench' - download_dir = os.path.join(self.prefix, 'downloads') # i.e. downloads/ will be alongside this file - download_dest = os.path.join(download_dir, 'hecbiosim-gromacs.tar.gz') - download(benchmark_url, download_dest, download_dir) - -# TODO: move this into modules -def download(url, download_dest, extract_dir=None): - """ Download resources with caching. - - Args: - url: str, url to download from - download_dest: str, path to download resource at `url` to. This should include the filename - and also the extension if unpacking is required. If this path exists then `url` will not be downloaded. - extract_dir: str, path to directory to unpack to, or None if no unpacking is required. - Directories will be created if required. - Returns ??? - """ - - if not os.path.exists(download_dest): - download_dir = os.path.dirname(download_dest) - if not os.path.exists(download_dir): - os.makedirs(download_dir, exist_ok=True) - urllib.request.urlretrieve(url, download_dest) - if extract_dir is not None: - if not os.path.exists(extract_dir): - os.makedirs(extract_dir, exist_ok=True) - shutil.unpack_archive(download_dest, extract_dir) - \ No newline at end of file diff --git a/benchmarks/apps/legacy/hpcg/README.md b/benchmarks/apps/legacy/hpcg/README.md deleted file mode 100644 index 3c0ea3d0..00000000 --- a/benchmarks/apps/legacy/hpcg/README.md +++ /dev/null @@ -1,55 +0,0 @@ -# High Performance Conjugate Gradient - Intel-optimised version - -This runs an Intel version of the High Performance Conjugate Gradient Benchmark optimised for Intel Xeon processors and linked against using Intel's MKL. - -Documentation is [here](https://software.intel.com/content/www/us/en/develop/documentation/mkl-linux-developer-guide/top/intel-math-kernel-library-benchmarks/intel-optimized-high-performance-conjugate-gradient-benchmark/overview-of-the-intel-optimized-hpcg.html) - -It follows recommendations for performance given in [Intel docs](https://software.intel.com/content/www/us/en/develop/documentation/mkl-linux-developer-guide/top/intel-math-kernel-library-benchmarks/intel-optimized-high-performance-conjugate-gradient-benchmark/choosing-best-configuration-and-problem-sizes.html) - -# Installation of Intel-HPL using Spack - -Prebuilt binaries are provided with MKL - tests here use AVX2-specific binaries so assume system is AVX2-capable. - -E.g.: - - spack load patch - spack load gcc@9 - spack install intel-mpi %gcc@9: # DONE - spack install intel-mkl %gcc@9: # NB this doesn't have threads enabled here/by default - -Note that the executables are provided within the MKL installation directory, e.g.: - - $HOME/spack/opt/spack/linux-centos7-broadwell/gcc-9.3.0/intel-mkl-2020.1.217-5tpgp7bze633d4bybvvumfp2nhyg64xf/compilers_and_libraries_2020.1.217/linux/mkl/benchmarks/hpcg/bin/ - -which contains: - - hpcg.dat xhpcg_avx xhpcg_avx2 xhpcg_knl xhpcg_skx - -The ReFrame environment configuration(s) for this test **must** include two items: - -Firstly, to add the `/bin` directory to $PATH (as the spack-generated MKL module does not do this) include: - - ['PATH', '$PATH:$MKLROOT/benchmarks/hpcg/bin/'] - -(Note that `MKLROOT` is exported by the MKL module). - -Secondly, to select the appropriate binary for the system include: - - ['XHPCG_BIN', ] - -where `` is one of the above - note `xhpcg_skx` is AVX512 (Skylake). - -# hpcg .dat configuration files - -Appropriate HPCG configuration files named `hpcg-single.dat` and `hpcg-all.dat` for the single- and all-node cases respectively must be generated and placed in either: - -- `/systems//hpl/` -- `/systems///hpl/` - -Note that an example file is provided in the binary directory described above. - -# Running tests - -Requires AVX2 - -# Outputs \ No newline at end of file diff --git a/benchmarks/apps/legacy/hpcg/reframe_hpcg.py b/benchmarks/apps/legacy/hpcg/reframe_hpcg.py deleted file mode 100644 index 208f2386..00000000 --- a/benchmarks/apps/legacy/hpcg/reframe_hpcg.py +++ /dev/null @@ -1,90 +0,0 @@ -""" High Performance Conjugate Gradient - Intel-optimised version - - Run on all physical cores of a) a single and b) all nodes - - Run using e.g.: - - cd hpc-tests - conda activate hpc-tests - reframe/bin/reframe -C reframe_config.py -c hpcg/ --run --performance-report - - to run only "single" node or "all" node tests add the appropriate tag, e.g.: - - reframe/bin/reframe -C reframe_config.py -c hpcg/ --run --performance-report --tag single - - Requires files hpcg-{single, all}.dat in one of: - - /systems//hpcg/ - - /systems///hpcg/ - - Follows recommendations for performance given in [Intel docs](https://software.intel.com/content/www/us/en/develop/documentation/mkl-linux-developer-guide/top/intel-math-kernel-library-benchmarks/intel-optimized-high-performance-conjugate-gradient-benchmark/choosing-best-configuration-and-problem-sizes.html) -""" - -import reframe as rfm -import reframe.utility.sanity as sn -import sys, os, shutil -sys.path.append('.') -import modules -from modules.reframe_extras import Scheduler_Info, CachedRunTest -from reframe.core.logging import getlogger - -@rfm.parameterized_test(*[['single'], ['all']]) -class Hpcg(rfm.RunOnlyRegressionTest, CachedRunTest): - """ See module docstring """ - - def __init__(self, size): - - self.valid_systems = ['-gpu'] - self.valid_prog_environs = ['intel-hpcg'] - - self.size = size - self.tags = set([size]) - num_nodes = {'single':1, 'all':Scheduler_Info().num_nodes}[size] - - - # from docs link above: - # > run one MPI process per CPU socket and one OpenMP* thread per physical CPU core skipping SMT threads. - self.num_tasks_per_node = Scheduler_Info().sockets_per_node - threads_per_mpiproc = Scheduler_Info().pcores_per_node - self.num_cpus_per_task = threads_per_mpiproc - self.num_tasks = num_nodes * self.num_tasks_per_node - self.env_vars['OMP_NUM_THREADS'] = str(threads_per_mpiproc) - self.exclusive_access = True - self.executable = '$XHPCG_BIN' - self.time_limit = None - - - #self.git_ref = modules.utils.git_describe() # NB: load this during test instantiation, although we have to use a deferrable for perf variable - - self.use_cache = False # set to True to use cached results for debugging postprocessing of results - - #HPCG result is VALID with a GFLOP/s rating of 17.498100 - self.sanity_patterns = sn.assert_found('HPCG result is VALID', self.stdout) - self.perf_patterns = { - 'Gflops': sn.extractsingle(r'.*\s([\d.Ee+]+)', self.stdout, 1, float), - } - self.reference = { - '*': { - 'Gflops': (None, None, None, 'Gflop/s'), - } - } - - @rfm.run_before('run') - def copy_file(self): - """ Copy the appropriate .dat file into staging and the binary. - - Can't just set sourcesdir as we only want one file. - """ - dat_file = 'hpcg-%s.dat' % self.size - dat_source = None - prefix = os.path.join(self.prefix, '..', 'systems', self.current_partition) # use self.prefix so relative to test dir, not pwd - suffixes = ['', self.current_partition.name] - locations = [os.path.abspath(os.path.join(prefix, suffix, 'hpcg', dat_file)) for suffix in suffixes] - for location in locations: - if os.path.exists(location): - dat_source = location - if dat_source is None: - raise ValueError('.dat file not found in %s' % ' or '.join(locations)) - else: - dat_dest = os.path.join(self.stagedir, 'hpgc.dat') - shutil.copy(dat_source, dat_dest) - getlogger().info('copied %s to %s' % (dat_source, dat_dest)) diff --git a/benchmarks/apps/legacy/nxnlatbw/nxnlatbw.ipynb b/benchmarks/apps/legacy/nxnlatbw/nxnlatbw.ipynb deleted file mode 100644 index 64ab7545..00000000 --- a/benchmarks/apps/legacy/nxnlatbw/nxnlatbw.ipynb +++ /dev/null @@ -1,53437 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# PingPong Latency Matrix\n", - "\n", - "This shows results of running a pingpong latency test on all nodes in ReFrame partition(s).\n", - "\n", - "The result matrices show latency against MPI rank pairs. The rank is not linked to specific hostnames here but as the test uses one rank per node ranks should generally follow the order of nodes shown by e.g. Slurm's `sinfo`.\n", - "\n", - "The final section shows summmary statistics for all partitions.\n", - "\n", - "- TODO: move code into modules" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "import sys, statistics\n", - "from pprint import pprint\n", - "sys.path.extend(('../../reframe', '../../')) # the `modules` package imports `reframe` so need that in sys.modules\n", - "import modules\n", - "import pandas as pd\n", - "import matplotlib as mpl\n", - "from IPython.display import display, Markdown, HTML" - ] - }, - { - "cell_type": "code", - "execution_count": 57, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/html": [ - "" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# set notebook width to 90%\n", - "display(HTML(\"\"))" - ] - }, - { - "cell_type": "code", - "execution_count": 60, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "text/markdown": [ - "# csd3:cclake-ib-gcc9-ompi3-ucx" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/hpcbras1/miniconda3/envs/hpc-tests/lib/python3.7/site-packages/matplotlib/colors.py:527: RuntimeWarning: invalid value encountered in less\n", - " xa[xa < 0] = -1\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - 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61.051.051.051.091.051.05nan1.141.121.011.090.971.051.010.980.970.970.991.040.981.040.990.971.040.990.980.990.990.980.980.981.040.990.990.980.981.041.011.061.040.981.061.050.980.990.991.061.071.040.970.980.980.980.971.131.05
71.071.061.061.071.041.141.04nan1.141.131.000.980.991.060.980.970.971.070.981.050.981.050.981.041.060.991.041.041.040.980.981.051.071.070.980.970.991.080.991.051.051.001.010.981.041.061.041.060.990.970.980.971.050.980.991.12
81.050.990.970.990.971.060.981.06nan1.051.050.971.041.000.970.960.990.981.040.981.030.980.970.981.070.970.980.990.981.060.970.981.040.980.970.971.041.001.060.991.051.041.050.970.990.980.981.000.970.980.970.970.980.971.070.98
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101.101.000.991.010.971.080.981.050.981.00nan0.981.041.000.970.970.970.981.050.981.050.990.970.971.040.981.070.990.981.060.980.981.051.051.060.991.061.001.051.001.050.981.070.980.990.990.991.010.980.970.970.980.990.971.070.99
110.990.980.990.990.981.080.981.050.970.980.98nan1.041.050.980.970.971.070.991.060.981.070.971.070.980.970.981.061.050.980.981.050.990.990.980.971.001.000.981.050.981.051.060.981.051.051.051.071.040.980.970.981.040.970.981.07
121.040.990.990.990.981.051.001.060.971.000.980.97nan1.050.970.970.970.981.070.981.030.980.970.981.050.971.070.981.051.040.980.991.051.040.990.980.991.061.070.991.080.991.000.981.040.980.991.000.980.970.970.971.040.980.970.97
131.071.000.991.020.991.081.001.100.991.001.000.990.98nan0.980.980.981.061.000.990.991.060.991.061.001.001.000.991.001.090.991.051.001.000.990.991.061.081.001.091.001.061.070.991.000.981.081.081.070.990.990.990.990.970.981.05
140.980.980.971.000.981.080.981.050.970.980.970.970.970.98nan0.970.970.981.061.041.030.970.970.981.040.971.041.041.040.980.970.981.041.040.970.970.991.000.970.991.060.981.000.981.041.041.061.000.980.970.970.971.040.970.970.98
150.980.970.980.990.971.090.981.050.970.980.970.970.970.990.97nan0.971.050.981.040.981.040.971.070.980.970.990.991.001.040.971.040.990.990.970.981.061.001.050.980.981.041.050.980.990.990.991.051.040.970.980.980.980.970.970.98
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0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55
0nan1.441.421.411.411.471.491.471.481.471.481.471.481.411.481.431.411.431.461.421.531.521.441.531.511.451.521.431.521.421.531.511.421.501.511.421.501.491.501.511.491.511.411.511.501.501.421.421.431.511.511.511.441.511.441.53
11.48nan1.511.401.411.501.411.421.411.501.421.501.411.411.411.411.431.421.441.421.431.441.431.431.491.421.431.431.421.431.441.431.421.581.421.421.421.401.411.421.411.401.411.411.421.421.421.421.441.431.431.421.441.441.431.44
21.501.42nan1.411.481.421.481.481.471.431.491.431.481.481.481.411.491.421.431.421.521.511.431.531.451.431.441.501.511.421.521.521.431.431.511.421.491.481.481.491.471.471.411.481.491.481.431.431.511.501.451.501.501.421.501.43
31.421.411.41nan1.481.481.411.471.411.481.411.491.421.411.421.411.431.411.431.411.501.431.431.431.501.431.501.521.431.431.431.431.411.481.421.411.421.411.421.431.411.411.411.521.431.421.411.411.491.431.501.511.501.491.491.43
41.501.421.411.40nan1.491.501.481.471.421.481.421.481.491.491.411.481.411.441.411.521.491.421.491.451.441.491.441.421.421.421.501.411.421.501.411.501.461.491.501.471.461.401.411.491.481.421.411.451.491.511.441.611.441.441.49
51.481.411.411.401.39nan1.491.491.401.461.421.461.411.481.411.401.421.421.431.401.431.481.411.421.521.431.441.481.481.481.431.421.411.471.411.401.411.481.411.421.411.411.401.461.471.491.401.401.481.501.431.481.431.421.491.43
61.511.421.411.401.401.39nan1.491.471.411.481.411.481.411.481.401.481.421.431.421.511.431.421.511.441.431.491.431.421.421.501.521.431.491.501.401.491.421.491.511.491.471.411.411.511.421.491.421.441.431.491.431.481.491.521.50
71.481.411.431.411.401.391.39nan1.461.451.411.461.421.501.421.401.421.401.431.421.431.491.421.511.521.431.451.491.481.421.421.491.411.421.421.411.411.471.411.501.411.411.401.471.421.471.411.471.501.501.431.491.431.431.431.58
81.501.421.421.411.401.411.401.46nan1.471.501.401.481.421.511.411.501.411.441.411.501.431.421.431.511.421.511.441.431.411.421.421.471.501.491.401.471.411.481.431.481.481.421.431.501.421.411.411.571.431.511.431.501.451.501.43
91.481.431.431.401.411.391.421.461.40nan1.491.471.421.491.411.401.411.411.431.411.431.521.431.511.441.421.451.491.501.411.421.511.411.471.431.401.411.401.421.481.411.461.411.471.431.481.421.401.431.411.441.491.441.431.441.49
101.481.421.421.411.401.411.411.471.401.40nan1.471.471.421.491.401.511.411.431.411.501.431.421.441.501.421.511.441.431.411.431.431.411.421.421.411.481.471.481.431.481.411.401.411.481.421.441.411.521.491.491.441.511.501.501.43
111.471.421.431.411.421.401.411.461.421.401.40nan1.481.481.421.411.421.411.441.421.431.511.431.491.441.421.431.501.491.421.421.491.411.491.481.411.481.471.411.481.411.471.411.481.431.501.421.411.501.431.431.411.431.431.441.50
121.491.421.431.421.411.421.411.501.421.421.411.41nan1.491.511.421.491.421.451.421.501.431.431.441.501.431.511.441.521.431.441.441.421.431.431.411.481.421.471.431.481.421.421.421.491.501.421.431.441.521.421.491.441.501.501.45
131.511.411.421.401.411.401.411.471.421.401.421.411.41nan1.481.411.431.421.441.411.441.491.431.491.441.421.441.521.431.421.431.491.421.411.481.411.421.401.421.481.431.471.411.471.431.501.421.421.501.431.431.431.501.501.451.51
141.491.421.421.411.421.421.411.511.421.411.411.411.411.41nan1.421.431.421.451.431.501.441.431.441.531.431.521.441.501.421.421.431.421.421.431.421.481.471.501.441.491.421.411.431.481.431.411.431.451.491.421.501.451.441.431.45
151.421.411.421.411.421.401.421.471.411.401.411.411.421.411.41nan1.511.421.451.431.451.501.441.501.511.441.441.511.441.431.441.531.441.421.491.421.431.421.481.431.421.481.411.481.441.491.431.421.501.441.431.491.501.501.501.43
161.521.431.441.411.421.411.421.481.421.411.421.421.411.431.421.43nan1.431.451.421.501.451.441.501.531.451.531.451.501.441.441.451.421.431.431.421.491.481.431.501.431.481.421.431.501.491.431.431.511.501.431.451.461.451.451.51
171.431.411.431.411.421.411.411.491.411.401.421.421.431.421.421.421.43nan1.451.421.441.521.441.441.461.431.451.501.441.431.431.491.431.421.491.421.431.421.471.431.501.481.411.471.441.441.421.431.451.501.431.491.501.501.501.44
181.461.431.431.441.451.451.451.521.431.431.431.431.431.431.441.431.441.44nan1.441.521.461.461.541.551.461.561.461.521.451.461.461.451.441.511.431.531.501.441.511.441.431.431.441.511.511.451.451.531.471.451.461.471.461.471.54
191.431.421.421.411.421.411.411.481.421.411.431.411.421.411.431.421.421.421.44nan1.501.511.441.491.461.441.451.511.441.431.441.501.431.421.431.421.431.431.491.441.481.481.421.411.431.441.431.431.501.531.441.491.501.511.511.45
201.501.431.431.431.421.431.431.501.421.431.431.441.431.431.431.431.431.431.451.43nan1.521.441.511.541.451.521.461.511.431.451.441.431.431.501.431.511.491.441.511.431.431.431.491.431.501.441.431.461.511.461.451.521.451.461.53
211.491.441.431.431.421.421.431.491.431.431.431.421.471.421.441.431.451.431.441.431.44nan1.441.501.461.441.451.531.451.431.431.511.431.431.441.421.431.491.491.451.521.491.421.431.501.511.431.431.541.441.441.521.451.511.511.45
221.441.431.431.421.421.421.421.481.421.421.441.421.431.441.431.431.441.431.451.431.441.44nan1.521.521.441.521.451.521.431.441.451.431.431.521.431.511.431.491.501.431.441.431.511.441.441.431.431.441.541.441.451.521.451.521.54
231.491.441.431.431.421.421.431.511.431.421.431.441.451.431.451.421.451.441.451.431.451.441.44nan1.541.451.451.531.451.441.431.511.431.431.501.421.431.491.441.501.521.491.431.431.501.491.431.431.511.441.441.511.451.521.461.52
241.511.441.441.431.431.431.431.501.431.431.431.441.431.431.441.441.441.441.461.441.451.461.451.44nan1.461.541.471.531.451.441.461.441.451.451.431.501.441.501.451.511.431.431.511.461.451.441.441.541.521.451.461.551.461.521.46
251.441.421.431.421.431.421.431.491.421.411.431.421.441.421.441.431.441.431.451.431.441.441.441.441.45nan1.521.531.441.441.441.511.441.431.501.431.521.491.441.501.441.511.421.431.501.441.441.431.461.511.451.511.461.511.451.55
261.501.441.431.431.441.431.431.501.421.421.421.441.431.431.451.431.441.441.461.431.451.441.451.441.461.46nan1.531.541.441.451.451.451.441.511.441.441.441.511.451.491.491.431.511.451.501.441.441.541.451.521.461.521.461.521.46
271.521.441.441.421.431.421.431.501.431.421.421.421.431.421.431.421.441.431.451.431.451.441.441.441.441.441.44nan1.501.441.441.511.431.431.501.431.491.491.431.511.491.441.431.491.501.441.441.431.461.541.441.521.471.511.471.53
281.521.431.431.421.421.431.421.491.431.411.431.421.421.421.441.421.441.421.441.421.441.441.441.451.451.441.441.44nan1.441.441.441.431.441.451.431.541.431.511.441.491.501.421.421.501.491.431.431.521.451.441.501.441.451.511.45
291.431.421.431.421.411.421.411.491.421.421.421.411.431.431.431.421.431.431.441.431.441.441.441.451.441.441.441.441.43nan1.431.511.431.421.521.431.441.491.441.491.431.421.421.501.441.491.431.431.531.511.441.441.511.441.451.53
301.441.431.441.431.411.431.421.491.421.411.421.421.431.431.421.421.441.421.441.431.441.451.441.441.441.431.451.441.441.43nan1.511.431.421.501.431.491.481.501.451.491.481.421.431.501.441.441.431.461.451.441.531.461.511.451.45
311.501.431.451.421.431.411.421.481.421.421.421.431.421.421.431.421.431.421.451.421.431.451.441.431.441.441.451.441.441.441.43nan1.431.431.491.431.431.421.501.491.431.431.421.481.441.491.431.421.531.431.431.451.501.451.521.44
321.411.481.501.481.501.471.481.581.481.481.491.491.491.501.491.491.491.491.521.491.511.511.501.511.511.501.511.501.491.491.501.49nan1.491.561.421.481.501.431.431.481.471.411.421.491.431.431.421.501.501.441.501.451.511.441.52
331.421.411.441.411.431.401.421.481.411.401.411.411.421.411.421.411.421.401.441.411.421.431.431.421.441.431.431.431.421.421.431.421.42nan1.481.411.421.461.481.491.431.501.421.481.431.481.421.421.441.501.441.441.501.451.511.44
341.491.431.421.421.411.421.411.481.421.421.411.411.421.411.421.421.431.421.441.431.441.451.431.451.451.441.441.441.441.421.431.421.421.42nan1.421.511.421.471.441.491.431.411.421.491.421.431.421.501.431.441.501.451.511.451.51
351.421.411.431.401.411.411.401.461.401.401.411.411.421.411.431.411.421.421.431.411.431.441.431.441.431.431.441.431.431.421.421.421.411.411.41nan1.481.491.511.491.411.481.411.481.421.481.421.431.431.511.421.501.501.441.501.44
361.491.421.421.411.411.401.401.481.401.411.411.421.401.411.421.421.441.431.441.421.421.431.421.421.441.431.441.441.421.431.441.421.421.411.411.41nan1.471.501.431.491.421.401.421.481.431.411.421.491.431.431.431.501.521.441.50
371.461.411.411.411.411.401.411.471.391.391.411.411.451.391.421.421.411.421.431.421.421.411.421.421.441.421.441.421.441.421.431.421.411.401.421.401.40nan1.491.481.411.481.401.471.421.471.411.411.441.491.421.481.431.491.491.43
381.491.411.421.411.401.411.401.471.401.401.411.421.421.401.401.411.431.421.431.411.421.431.421.421.431.431.431.431.431.421.431.431.411.411.411.401.401.40nan1.491.491.411.411.411.491.421.411.421.491.431.421.431.501.431.521.50
391.481.421.431.421.411.411.411.481.411.401.421.431.431.421.431.411.441.421.441.421.441.431.431.431.451.431.441.441.441.421.431.431.421.421.431.421.411.411.41nan1.491.521.421.491.441.481.421.431.501.501.431.521.451.511.461.52
401.481.421.411.411.401.411.421.471.411.391.411.401.411.421.411.411.421.421.441.411.421.421.421.431.421.431.441.431.421.421.421.421.411.411.421.401.411.411.401.42nan1.481.411.421.481.421.411.411.501.491.421.431.501.441.501.44
411.491.411.421.391.401.411.411.481.411.391.401.391.401.401.401.401.411.411.421.411.421.421.421.431.421.421.421.421.411.411.411.411.411.401.411.401.401.391.401.401.40nan1.401.481.431.461.411.411.491.501.411.481.431.491.441.49
421.411.411.411.411.411.411.421.491.411.421.411.411.421.411.411.411.421.411.431.421.431.421.431.441.441.421.431.431.431.421.421.421.411.421.421.411.401.411.401.411.411.40nan1.471.481.421.421.421.491.491.421.441.431.441.441.44
431.471.421.411.401.411.401.411.471.411.391.421.401.421.401.431.411.441.411.441.411.431.431.421.441.431.431.431.421.431.421.441.421.421.411.431.411.411.401.411.421.421.401.40nan1.481.481.411.411.431.421.421.421.491.491.501.50
441.481.431.431.421.401.421.431.481.421.401.411.411.421.421.441.421.431.431.441.421.431.421.431.441.441.441.451.431.431.431.441.451.421.421.431.411.411.411.421.431.421.421.421.42nan1.481.431.431.541.501.431.491.501.441.441.50
451.481.421.421.421.411.411.421.501.421.401.421.411.431.411.421.411.441.421.441.431.431.421.441.431.461.441.431.441.441.421.441.431.431.411.441.411.421.401.411.421.421.401.421.401.42nan1.421.411.501.511.431.431.441.501.491.44
461.421.421.431.421.411.411.411.481.411.421.421.421.441.421.421.421.441.421.451.421.441.441.431.441.441.441.441.441.431.431.421.441.421.421.431.411.411.421.411.431.411.411.411.411.421.42nan1.431.511.491.431.511.511.451.521.50
471.431.411.431.411.401.401.421.491.411.411.411.421.421.411.411.411.431.411.441.421.431.431.431.431.431.431.441.431.431.421.431.421.421.411.421.411.411.401.411.421.411.401.411.411.421.411.41nan1.501.521.431.491.441.501.451.51
481.501.431.441.421.421.421.421.481.431.421.441.431.431.431.431.431.431.431.451.431.441.451.441.441.451.441.441.441.441.431.441.441.431.421.431.431.431.421.421.431.421.411.421.411.431.441.431.42nan1.521.441.511.521.451.521.45
491.501.431.421.411.411.411.411.481.421.401.421.421.421.421.431.421.441.421.451.421.431.431.431.431.441.441.451.441.431.431.431.431.421.421.431.421.411.421.421.431.421.411.421.411.431.431.431.421.43nan1.431.501.441.501.511.53
501.421.421.421.421.431.431.421.501.421.441.421.431.421.421.431.431.441.431.451.431.441.441.451.441.461.441.441.441.451.431.441.451.431.431.431.421.421.431.421.431.421.421.421.421.431.441.431.431.441.43nan1.501.521.451.521.47
511.481.431.431.421.421.411.431.491.431.411.441.421.421.421.421.431.441.421.461.421.461.441.451.451.461.441.461.441.431.441.431.441.431.441.441.421.431.431.431.431.431.421.431.421.431.441.431.421.431.431.43nan1.511.501.451.52
521.511.441.441.431.431.431.431.501.421.421.421.421.431.431.431.431.451.441.461.431.451.441.441.441.461.451.451.461.441.441.441.441.431.431.431.431.421.431.441.451.441.421.431.431.441.441.441.431.451.431.441.44nan1.511.531.45
531.481.451.431.431.451.421.421.511.431.411.421.431.441.421.441.431.451.431.471.431.461.441.451.441.451.451.461.451.451.441.441.451.431.441.431.431.421.421.441.441.441.431.441.431.441.431.441.421.441.441.441.441.45nan1.531.53
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131.461.461.461.461.521.461.451.441.441.441.441.441.45nan1.461.451.471.451.461.461.471.461.471.471.481.471.481.471.461.461.481.461.531.451.461.451.451.451.451.441.451.451.461.451.451.451.451.461.461.461.471.461.471.471.481.48
141.461.451.461.471.531.451.461.451.451.451.451.471.461.46nan1.461.481.471.471.461.471.471.471.471.481.481.481.471.461.461.471.471.531.451.461.461.461.461.451.451.461.451.461.451.461.461.461.461.471.471.471.481.471.481.491.48
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231.471.461.471.461.531.461.461.461.461.451.461.461.471.461.471.461.471.471.491.471.481.481.49nan1.481.481.491.481.481.481.481.481.541.531.481.471.471.461.461.461.471.461.471.461.471.471.471.471.481.471.481.481.491.481.491.48
241.481.471.471.471.551.471.471.461.461.461.471.471.471.471.481.471.481.481.491.481.491.491.501.49nan1.491.491.491.491.481.491.491.551.541.481.481.471.471.471.471.481.471.471.461.471.471.481.481.491.481.491.491.491.491.501.49
251.481.471.471.471.541.461.461.461.461.451.471.461.471.461.471.461.481.471.491.471.481.481.491.481.49nan1.491.481.481.481.491.481.541.541.471.471.471.461.461.461.471.461.471.461.471.471.471.471.481.481.481.491.491.481.501.49
261.481.471.471.471.541.471.471.461.471.461.471.471.481.471.481.471.481.471.491.481.491.491.501.491.491.49nan1.491.481.481.501.481.541.541.481.471.471.461.471.461.481.461.481.471.481.481.471.481.491.481.491.501.501.491.501.49
271.471.471.471.471.541.461.461.461.461.451.461.461.471.461.471.461.481.471.481.481.481.481.491.481.491.481.49nan1.481.481.491.481.541.541.481.471.461.461.461.461.471.461.471.461.471.471.471.481.481.471.491.481.491.491.491.49
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countminmaxmeanstdevrange
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alaska:roce-gcc9-openmpi4-ucx240.01.352.141.730.340.79
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" - ], - "text/plain": [ - " count min max mean stdev range\n", - "alaska:ib-gcc9-openmpi4-ucx 240.0 0.80 1.02 0.90 0.08 0.22\n", - "alaska:roce-gcc9-openmpi4-ucx 240.0 1.35 2.14 1.73 0.34 0.79\n", - "csd3:cclake-ib-gcc9-ompi3-ucx 3080.0 0.96 1.16 1.00 0.04 0.20\n", - "csd3:cclake-ib-icc19-impi19-ucx 3080.0 1.01 1.12 1.02 0.01 0.11\n", - "csd3:cclake-roce-gcc9-ompi3-ucx 3080.0 1.39 1.61 1.44 0.03 0.22\n", - "csd3:cclake-roce-icc19-impi19-ucx 3080.0 1.43 1.60 1.47 0.02 0.17" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# find outputs:\n", - "paths = [p for p in modules.utils.find_run_outputs(root='../../output', test='Nxnlatbw') if 'build' not in p]\n", - "meta = [modules.utils.parse_path_metadata(p) for p in paths]\n", - "\n", - "# load and plot:\n", - "summary = {} # sys:part (str) -> stats (dict)\n", - "for ix, path in enumerate(paths):\n", - " syspart = '%s:%s' % (meta[ix]['sysname'], meta[ix]['partition'])\n", - " display(Markdown('# %s' % syspart))\n", - " \n", - " # read latencies:\n", - " latencies = {}\n", - " with open(path) as nxn_f:\n", - " for ln, line in enumerate(nxn_f):\n", - " vals = line.strip().split(',')\n", - " if vals[0] == 'src':\n", - " continue\n", - " if len(vals) != 4:\n", - " print('warning: skipping line %i (%i values) beginning: %r ...' % (ln, len(vals), line[0:50]))\n", - " continue\n", - " rankA, rankB, lat, bw = int(vals[0]), int(vals[1]), float(vals[2]), float(vals[3])\n", - " latencies[rankA, rankB] = lat\n", - " \n", - " # get list of node IDs:\n", - " rankAs = sorted(set(k[0] for k in latencies))\n", - " rankBs = sorted(set(k[1] for k in latencies))\n", - " # TODO: could crosscheck these!\n", - " \n", - " # create a dataframe using a list-of-lists:\n", - " lat_list = []\n", - " for rankA in rankAs: # row\n", - " row = [latencies.get((rankA, rankB)) for rankB in rankBs]\n", - " lat_list.append(row)\n", - " df = pd.DataFrame(lat_list)\n", - " dfv = df.stack() # flatten\n", - " summary[syspart] = {\n", - " 'count': len(dfv),\n", - " 'min': dfv.min(),\n", - " 'max': dfv.max(),\n", - " 'mean': dfv.mean(),\n", - " 'stdev': dfv.std(),\n", - " 'range': dfv.max() - dfv.min(),\n", - " }\n", - " sdf = df.style.background_gradient(cmap=mpl.pyplot.get_cmap('Reds')).set_precision(2)\n", - " display(sdf)\n", - "\n", - "# tabulate summary\n", - "display(Markdown('# Summary'))\n", - "display(pd.DataFrame(summary).sort_index(axis=1).round(2).transpose()) # sort columns by name\n", - " \n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.7" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/benchmarks/apps/legacy/nxnlatbw/reframe_nxnlatbw.py b/benchmarks/apps/legacy/nxnlatbw/reframe_nxnlatbw.py deleted file mode 100644 index 74a9f094..00000000 --- a/benchmarks/apps/legacy/nxnlatbw/reframe_nxnlatbw.py +++ /dev/null @@ -1,34 +0,0 @@ -""" Run a ping-pong latency test matrix between all nodes in the ReFrame partition. - - Usage: - - reframe/bin/reframe -C reframe_config.py -c apps/nxnlatbw/ --run - - NB: This is not a performance test in the ReFrame sense! -""" - -import reframe as rfm -import reframe.utility.sanity as sn -import sys -sys.path.append('.') -from modules.reframe_extras import ScalingTest - - -@rfm.simple_test -class Nxnlatbw(ScalingTest): - def __init__(self): - - self.valid_systems = ['-gpu'] - self.valid_prog_environs = ['nxnlatbw'] - - self.build_system = 'SingleSource' - self.sourcepath = 'mpi_nxnlatbw.c' - - self.partition_fraction = 1.0 - self.node_fraction = -1 # use 1x physical cores per node - - self.executable = 'nxnlatbw' - self.exclusive_access = True - self.time_limit = '1h' - - self.sanity_patterns = sn.assert_found(r'src,dst,lat\(us\),bandwidth\(\(Mbytes/sec\)', self.stdout) diff --git a/benchmarks/apps/legacy/nxnlatbw/src/mpi_nxnlatbw.c b/benchmarks/apps/legacy/nxnlatbw/src/mpi_nxnlatbw.c deleted file mode 100644 index 7066528b..00000000 --- a/benchmarks/apps/legacy/nxnlatbw/src/mpi_nxnlatbw.c +++ /dev/null @@ -1,148 +0,0 @@ -/* - Copyright (c) 2004,2005. PathScale, Inc. All rights reserved. - - Redistribution and use in source and binary forms, with or without - modification, are permitted provided that the following conditions - are met: - - + All copies of source code must retain the above copyright notice, - this list of conditions and the following disclaimer. - - + Redistributions in binary form must reproduce the above copyright - notice, this list of conditions and the following disclaimer in the - documentation and/or other materials provided with the distribution. - - + If user makes modifications to this software, and provides those - modifications to PathScale, user assigns to PathScale, Inc. ownership - of the provided modifications and all intellectual property rights - embodied in those modifications. - - + The name of PathScale, Inc. may not be used to endorse or promote - products derived from this software without specific prior written - permission. - - THIS SOFTWARE IS PROVIDED BY PATHSCALE, INC. AND ITS LICENSORS "AS IS" - AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, - THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR - PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL PATHSCALE, INC. OR ITS - LICENSORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, - EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, - PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR - PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF - LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING - NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS - SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. -*/ - -/* - * Derived from code supplied by Ohio State University: - * Copyright (C) 2002-2003 the Network-Based Computing Laboratory - * (NBCL), The Ohio State University. - * http://nowlab.cis.ohio-state.edu/projects/mpi-iba/ - */ - -#include "mpi.h" -#include -#include -#include -#include - -#define MYBUFSIZE 4*1024*1024 -char s_buf[MYBUFSIZE]; -char r_buf[MYBUFSIZE]; - -int main(int argc, char *argv[]) -{ - - int myid, numprocs, i; - int size = MYBUFSIZE; - MPI_Status stat; - - double t_start = 0.0, t_end = 0.0; - int latloop = 10000, latskip = 10; - int bwloop = 10, bwskip = 2; - - MPI_Init(&argc, &argv); - MPI_Comm_size(MPI_COMM_WORLD, &numprocs); - MPI_Comm_rank(MPI_COMM_WORLD, &myid); - - int src, dest; - - if (myid == 0 ) fprintf(stdout, "src,dst,lat(us),bandwidth((Mbytes/sec)\n"); - for (src = 0; src < numprocs; src++) { - for (dest = 0; dest < numprocs; dest++) { - if (src == dest) - continue; - MPI_Barrier(MPI_COMM_WORLD); - - if (myid == src) { - for (i = 0; i < latloop + latskip; i++) { - if (i == latskip) - t_start = MPI_Wtime(); - MPI_Send((void*)0, 0, MPI_CHAR, dest, 1, MPI_COMM_WORLD); - MPI_Recv((void*)0, 0, MPI_CHAR, dest, 1, MPI_COMM_WORLD, - &stat); - } - t_end = MPI_Wtime(); - - } else if (myid == dest) { - for (i = 0; i < latloop + latskip; i++) { - MPI_Recv((void*)0, 0, MPI_CHAR, src, 1, MPI_COMM_WORLD, - &stat); - MPI_Send((void*)0, 0, MPI_CHAR, src, 1, MPI_COMM_WORLD); - } - } - - if (myid == src) { - double latency; - latency = (t_end - t_start) * 1.0e6 / 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casealaska:ib-gcc9-openmpi4-ucxalaska:roce-gcc9-openmpi4-ucxcsd3:cclake-ib-gcc9-ompi3-ucxcsd3:cclake-roce-gcc9-ompi3-ucxalaska:[roce/ib]-gcc9-openmpi4-ucxcsd3:cclake-[roce/ib]-gcc9-ompi3-ucx
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casealaska:ib-gcc9-openmpi4-ucxalaska:roce-gcc9-openmpi4-ucxcsd3:cclake-ib-gcc9-ompi3-ucxcsd3:cclake-roce-gcc9-ompi3-ucxalaska:[roce/ib]-gcc9-openmpi4-ucxcsd3:cclake-[roce/ib]-gcc9-ompi3-ucx
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casealaska:ib-gcc9-openmpi4-ucxalaska:roce-gcc9-openmpi4-ucxcsd3:cclake-ib-gcc9-ompi3-ucxcsd3:cclake-roce-gcc9-ompi3-ucxalaska:[roce/ib]-gcc9-openmpi4-ucxcsd3:cclake-[roce/ib]-gcc9-ompi3-ucx
num_nodes
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420.021.0NaNNaN1.05NaN
813.012.06.08.00.921.33
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32NaNNaN14.013.0NaN0.93
56NaNNaN32.024.0NaN0.75
\n", - "
" - ], - "text/plain": [ - "case alaska:ib-gcc9-openmpi4-ucx alaska:roce-gcc9-openmpi4-ucx \\\n", - "num_nodes \n", - "1 104.0 105.0 \n", - "2 47.0 46.0 \n", - "4 20.0 21.0 \n", - "8 13.0 12.0 \n", - "16 10.0 10.0 \n", - "32 NaN NaN \n", - "56 NaN NaN \n", - "\n", - "case csd3:cclake-ib-gcc9-ompi3-ucx csd3:cclake-roce-gcc9-ompi3-ucx \\\n", - "num_nodes \n", - "1 33.0 33.0 \n", - "2 16.0 15.0 \n", - "4 NaN NaN \n", - "8 6.0 8.0 \n", - "16 6.0 13.0 \n", - "32 14.0 13.0 \n", - "56 32.0 24.0 \n", - "\n", - "case alaska:[roce/ib]-gcc9-openmpi4-ucx \\\n", - "num_nodes \n", - "1 1.01 \n", - "2 0.98 \n", - "4 1.05 \n", - "8 0.92 \n", - "16 1.00 \n", - "32 NaN \n", - "56 NaN \n", - "\n", - "case csd3:cclake-[roce/ib]-gcc9-ompi3-ucx \n", - "num_nodes \n", - "1 1.00 \n", - "2 0.94 \n", - "4 NaN \n", - "8 1.33 \n", - "16 2.17 \n", - "32 0.93 \n", - "56 0.75 " - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": 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\n", 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RlYO5WSWYKC8/0p3LFLPFRYcjXndPT0/uu+++YmkrLS0NZ2fnYmnL0dB9vzv6fu7cOaKjo7OUdenS5aBSqlX2fW3poFoBe4F2Sql9IvIBcFspNSO3Y1q1aqW0om7eZOl7ehpc/u3v55NunjbKq/sac0mNe0ONQHC6O54ocMTrfurUKZo2bVosbd0NSUMLiu773dF3S98XEbHooGw5B3UZuKyU2mf6/AMw3YbtlRqcUxPg1FrTUvBNEH8TnFxMS8GfgEa9oFJde5up0Wg0hcJmDkop9ZeIXBKRxkqp00A3jOE+TUG4HQ5njAUO7c7tAJViWgrew7QU/ME7LwXXaDSaEoatV/FNBr41reA7D4yxcXt3D0rBteN/LwW/+rtRXqkeV2r1ok63J+HetnopuEajuWuxqYNSSh0GcowrajBkKrJnX7j/Efgz01Lw6EsYS8FbGdsb94GqjQn9+Wfq+OgHCzUazd2NziRhD44uI3XNZFzSTMJd0ZdIXzUBpzXPGFkcXDyMpeCdXtRLwTUaTanl7ljaVcKI3zDzb+dkwkmlk4ozDFsKL16AYd9Bi5HaOWkKRb169bh582a+j+vcuTPWrqjNzrx581i0aFGh68kvt27dYsCAAfj7+xMcHMzx48eLpV1bMG7cOE6ezDpl379/f3x9fe1kkX3QEZQdcE/4y2K5U1oCaxL88DwfQ6WySXiVdcWrrBsVyrjg5KQzPNwtrP79Cu9sOs3VqARqennwQs/GPBJYy95mFRkTJ060S7v//ve/ad68OatWreKPP/5g0qRJbNu2zS62FJYFCxZk+fzjjz863PN/xYGOoOzA1fTKuZZPWXKY0V8e4OGPd9PpnRACXt/Mfa+sp8UbW+g6J4SBn+zmvYOJTFt6mNlrTzJ321kW7wnjxyNX+eXsDY5djuZSZDwxiSnY6hk3TcFZ/fsVXlp5jCtRCSjgSlQCL608xurfrxS67kceeYSWLVvSrFkz5s+fb9X2tLQ0Ro8eja+vL35+frz33ntZjklPT2fUqFG8+uqrADz11FO0atWKZs2a5SpVMWvWLObMmWP+/M033/DAAw/g6+vL/v37LR6zfv16mjRpQvv27Xn22Wfp27cvYDyYPWbMGPz8/Gjbti0rVqwAYOPGjbRo0YKAgAC6desGwMmTJ83vmzRpQlhYmFl6IzORkZE88sgj+Pv706ZNG44ePWq2e+TIkXTt2pWGDRvy+eefm4+xJNERFhZG06ZNGT9+PM2aNaNHjx4kJBjq0p07d2bq1Kl07NiRpk2bcuDAAQYOHEjDhg3N5zIsLIwmTZowatQo/P39GTx4MPHx8ebjMyLP2NhYPvroI/NxlggLC8sSXc2ZM8eck/DcuXM8+OCDBAQE0KJFC0JDQ1m1ahUPPvggSinCw8Np1KgRf/1l+cbZnugIyg4scBvBqylzcZG/hf7ilRvzXUew9ZlORCckcysuhaiEFKLik4mKTyEqIZlb8SlEx6dwKUqx70IkUfHJxCWn5dqOi5OYozAvD9cs7yuVc8PTw5VKZd1M5ca2SmVd8XB1zpGQ807c7RFBfnh97QlOXr2d6/bfL0aRnJZV4DEhJY1//nCU7/dftHjM/TUr8lq/Znm2/cUXX+Dt7U1CQgJBQUEMGjQoz+1hYWFcuXLFPBwWFRVl3j81NZXhw4fj6+vLK6+8AsCbb76Jt7c3aWlpdOvWjaNHj+Lv78/MmTNp1aoV/fv3z2FXXFwcv/76Kzt37mTs2LE5ht4SExOZMGECO3fuxMfHh2HDhpm3vfHGG3h6enLs2DFiYmJITU3lxo0bjB8/3rx/ZGQkAAEBAaxcuZL27duzf/9+/vzzTy5fvkz16tWztPfaa68RGBjI6tWr2b59O48//jiHDxsJk48ePcrevXuJi4sjMDCQPn36cPz4cYsSHffeey9nz57l+++/5/PPP2fo0KGsWLGCESNGAODm5sbOnTv54IMPePjhhzl48CDe3t40aNCAqVOnAnD69GkWLlxIu3btGDt2LJ988gnPP/98FntnzJjB5MmTKVu2YKlMhw8fzvTp0xkwYACJiYmkp6fToEEDVqxYwccff8zGjRt5/fXXueeeewpUvy3RDsoOtOnaH9n0PjHKg3IkclVV5n0eo33fJ7mvWt5hfOZsCsmp6UQlJBMdn8KteJNDy+TYbsWnmB3elahETly9TVR8CgkpuTs2N2enLE4rw7lVKuuGp+mvUebGoYu3+HDbWRJTjR/djIgAKLVO6k5kd055leeHuXPnsmrVKgAuXbrE2bNn89zeuHFjzp8/z+TJk+nTpw89evQw7z9hwgSGDh1qdk4Ay5YtY/78+aSmphIeHs7Jkyfx9/dn9uzZudqV4XA6duzI7du3iYqKwsvLy7z9jz/+oH79+maZjGHDhpkjvK1bt5I5/VmlSpVYu3YtHTt2NO/v7e0NGNnLp0yZQvPmzfHz8yMwMBAXl5w/cbt27TJHYl27diUiIsKceufhhx/Gw8MDDw8PunTpwv79+9m1a5dFiY57770XHx8fmjdvDkDLli0JCwszt5PhrP38/GjWrBk1atQAoH79+ly6dAkvLy/q1KlDu3btABgxYgRz587N4qAOHz7MuXPnmD17NhEREbme49yIiYnhypUrDBgwAAB3d3fztg8//BBfX1/atGmT5abAkdAOyg60jVyDIAzmHc4keRcq6nBzcaJaBXeqVXDPe+dMJKakEZ2QYnJipijN5NxuxWc4PKP8z4h4jlw2Irjk1Lx/SBNS0nhn0+lS6aDyinTa/Xc7V6IScpTX8vJg6YS2BW43JCSErVu3smfPHsqWLUvnzp1JTEzMc3ulSpU4cuQImzZt4uOPP2bZsmV88cUXADzwwAPs2LGD//u//8Pd3Z0LFy4wZ84cDhw4QKVKlRg9enSWNnIjezQuIvTs2ZNr167RqlUrJk2alOuxluQ1LJUBVKxYkS+//NK8j4+PDz4+Pnz88cfm4br169dbHPrOqM+SrblJdISFhVGmzN95LZ2dnc1DfIB5m5OTU5b9nJycSE1NzbW9zOzZs4eDBw/i6+tLWloa169fp3PnzixevJh+/foBxpxf3759SU//+7uZcV3uNMx/5coVnJycuHbtGunp6Tg5YDo07aCKm5REnA9/zXbVgsXPD6Faxfw5lqLC3dUZd1dnquez/YTkNGO4Mc4YdvzH5/ss7nfVwo+wBl7o2ZiXVh7LEsF6uDrzQs/Ghao3OjqaSpUqUbZsWf744w/27t1r1fabN2/i5ubGoEGDaNCgAaNHjzYf88QTT7Bz506GDBnCqlWruH37NuXKlcPT05Nr166xYcMGq/IiLl26lC5durBr1y48PT3x9PRk06ZN5u0JCQmcP3+esLAw6tWrx9KlS83bevTowUcffcT7778PGCv12rZty6RJk7hw4YJ5iM/b25uoqCjKli2Lm5sbCxYsoGPHjlSsWJFJkyZlcYIdO3bk22+/ZcaMGYSEhFClShUqVqwIwJo1a3jppZeIi4sjJCSE//73v3h4eFiU6CgKLl68yJ49e2jbti3ff/897du3z7L9qaee4qmnniImJoaIiAj69u1LSEgIgHlYEiAlJYXr168TERFB+fLl+emnn+jVqxcVK1akdu3arF69mkceeYSkpCTS0tJwc3NjzJgxfPfddyxatIj//e9/OYYWHQHtoIqZ2weXUzE1ij/vG8GDdnJOhcHDzRkPNw9qeHoAxp2/pYigppdHcZtWIsiIKot6zq5Xr17MmzcPf39/GjduTJs2bazafuXKFcaMGWO++/7Pf/6T5bhp06YRHR3NyJEj+fbbbwkMDKRZs2bUr1/fPDQF3HEOqlKlSjzwwAPcvn3bHJ1lxsPDg08++YRevXpRpUoVgoODzdteffVVJk2ahK+vLyLC66+/zsCBA5k/fz4DBw4kPT2datWqsWXLFk6dOsXjjz9ultdYuHChxXM1a9YsxowZg7+/P2XLls2iIRUcHEyfPn24ePEiM2bMoGbNmtSsWdOiREdRZBdv2rQpX3/9NRMmTKBhw4Y89dRTBarH1dWVmTNn0rp1a3x8fGjSpIl52+LFi5kwYQIzZ87E1dWV5cuX880339ChQwc6dOhA8+bNCQoKok+fPsWW9NhabJbNvCCUhmzmV99pS3xMFC6TD1CvasGWjTpS3zNWpWWPCP4z0M8mQ3yO1PcMdDbzwpMho6KUYtKkSTRs2NC8kCADW/d91qxZlC9fvtgiibCwMPr27WvV81p303XPTzZzxxt0vIuJO7+XmnEnOXTP4AI7J0fjkcBa/GegH7W8PBCMiMpWzklz9/L555/TvHlzmjVrRnR0tJZk1wB6iK9YubLxfWooD3x72+dBRlvxSGAt7ZA0hWLq1Kk5IqbiJuO5oeKiXr16JTrbRXGgI6hiIvFWOD7Xt/BrhZ7c76N/zDUajSYvtIMqJk6v+xBXUqnW7Rl7m6LRaDQlAu2gioHU5CRqhn7PIbeWNG+u1Uc0Go3GGrSDKgZ+37yYqioSgp/MVwohjUajKc1oB2VjlFKU/X0BV+QemncZYm9zNKUMe8htlCS2b99OixYt8PX1ZdSoUeYMDyWNq1evMnjw4CxlFy9epHz58lkS95Y0tIOyMb/tDaFZ2iluNn0cpyJ4sE9zF3B0GbznC7O8jL9Hl9nbIpvhyD/4GZnalyxZwvHjx6lbt26Wh3ZLEjVr1uSHH37IUjZ16lR69+5tJ4uKBu2gbEzMzk9IoAxNH3ra3qZoHIGjy2DtsxB9CVDG37XPFomTchS5jdGjRzNt2jS6dOnCiy++mKu8RWYpDX9/f3MC182bN9O2bVtatGjBkCFDiI2NzdFGeno6Tz/9NM2aNaNv37489NBD5h/oAwcO8MADDxAQEEBwcDAxMTGkpaXx/PPPm9v68MMPiYiIoEyZMjRq1AiA7t27m23IzrZt2wgMDMTPz4+xY8eSlJQEGBHqiy++SHBwMMHBwZw7dw6AGzduMGjQIIKCgggKCmL37t2AsZR97NixdO7cmfr16zN37lzgb+mNcePG4evry/Dhw9m6dSvt2rWjYcOG5mg2N0mQ7HIbq1evpn79+jRrlntuyOyyKL6+vuZkt4sWLcLf35+AgABGjhwJGIl0M4QoP/vsM4YPH55r3UWFfg7Khhw+HcoD8TsIq/0wTcpXsrc5muJgw3T461ju2y8fgLSkrGUpCbDmGTiYy937PX7Q+795Nu1Ichtnzpxh69atODs7M3nyZIvyFpmlNMDIs3fz5k3+9a9/sXXrVsqVK8dbb73F//73P2bOnJmlLytXriQsLIxjx45x/fp1mjZtytixY0lOTubRRx9l6dKlBAUFcfv2bTw8PJg/fz4XLlzg999/x8XFhcjISCpVqkRKSgq//fYbrVq14ocffuDSpUs5zmtiYiKjR49m27ZtNGrUiMcff5xPP/2U5557DjCS1O7fv59Fixbx3HPP8dNPPzFlyhSmTp1K+/btuXjxIj179uTUqVOAkb19x44dxMTE0LhxY3N6o3PnzrF8+XLmz59PUFAQ3333Hbt27eLHH3/k3XffpUuXLoBlSZDMxMXF8dZbb7Fly5YCDe+dOHGCN998k927d1OlShWznMn8+fNp164dPj4+vPvuuznyPdoC7aBsyLmNn9BcUqjb+zl7m6JxFLI7p7zK84EjyW0MGTLEnKsuN3kLS1IaP/30EydPnjTn+UtOTjbnwMvMrl27GDJkCE5OTtxzzz3mH+/Tp09To0YNgoKCAMxJYLdu3crEiRPN8hsZEh1Llixh6tSpJCUl0aNHD4vyHKdPn8bHx8ccaY0aNYqPP/7Y7KAypCqGDRtmfth469atWSTbb9++TUxMDAB9+vShTJkylClThmrVqplFFX18fPDz8wOgWbNmdOvWDRHBz8+Pixf/1gqzJAmSIfkBht7V1KlTC6zAu337dgYPHkyVKlWynKvq1asze/ZsunTpwqpVq8zltkQ7KBtx+moUbSJXc8mrFXVq+9nbHE1xkVek856vaXgvG551YMy6AjfraHIb5cqVM7/PTd4iNymN7t278/3332cp37dvH+PHj8fJyYnZs2fnKiORmxRHbuVt27bll19+AYyhxTNnzgBkkQN55pk7P6K+U+8AACAASURBVLuYud6M9+np6ezZswcPj5xJk7NLdGTM02WX5Mgs15F5Li8viY59+/bxww8/8M9//pOoqCicnJxwd3dHRLLIjri4uOQq0ZHbauNjx45RuXJlrl69mtvpKFL0HJSN2L1+MbXlJpU66wdzNZnoNhNcs/1ouXoY5YWgMHIb6enpDBo0iDfeeINDhw6Zj3niiSd46KGHGDJkCKmpqRblNqwhQ94CyCJvkSGlkcGtW7do06YNu3fvNs/lxMfHc+bMGVq3bs3u3bs5fPgw/fv3p3379qxYsYL09HSuXbtmlqBo0qQJV69e5cCBAwBmFd4ePXowb9488w99xrDV9evXAUhKSuKtt95i4kQjDdmmTZs4fPgwCxYsMMvHZ9i0ePFiOnXqZLY7Qx5k6dKl5mgve98yS2MUljVr1pCYmEhERAQhISHmaDGDX375hbCwMMLCwnjuued4+eWXeeaZZ5g0aRKHDx/m8OHD1KxZk3r16pmv96FDh7hw4QIA3bp1Y9myZWaBxIxztX//fjZs2MDvv//OnDlzzPvbEu2gbMDlW/E0ufg9UW73UN6/n73N0TgS/kOh31wjYkKMv/3mGuWFoFevXqSmpuLv78+MGTMsym1Y2n7lyhU6d+5M8+bNGT16tEW5jRYtWjBy5EizSm2zZs0YO3ZsDrmNH3/80aJts2bN4rfffsPf35/p06ebV8q9+uqr3Lp1C19fXwICAtixYwdVq1blq6++YtiwYeZFFX/88UeOOgcNGkTt2rXx9fVlwoQJtG7dGk9PT9zc3Fi6dCmTJ08mICCA7t27k5iYyLhx47j33nvNE//fffcdAO+88w5NmzbF39+ffv360bVr1xxtubu78+WXXzJkyBD8/PxwcnIyOzIwnFvr1q354IMPzItM5s6da+7z/fffz7x58/K8htaSIQnSpk0bsyRIQRg0aBCRkZE0b96cTz/91DyE2axZM1555RU6depEQEAA06ZNIykpifHjx/PFF19Qs2ZN3n33XcaOHXtHQcQiQSnlMK+WLVsqa9mxY4fV+xY3Hy35UanXKqrozW/ZpH5H7rutccS+nzx5stjaun37drG15Whk73tMTIxSSqmbN2+q+vXrq/Dw8GK3qW7duurGjRs2byej76+99pp65513bN6eLbH0fQF+UxZ8Qp5zUGIMRg4H6iulZovIvcA9Sqn9tnWdJZOI2CS8T3xFirMbFR94wt7maDR3LX379iUqKork5GRmzJjBPffcY2+TNEWMNYskPgHSga7AbCAGWAEE3ekgABEJM+2fBqQqC4JUdxtLdh5jjPxCQuMBuJarbG9zNJq7lox5J3uS8dxQcVHckiD2xhoH1Vop1UJEfgdQSt0SEbd8tNFFKZX/XCslkNikVOL2L6KsJEFH/WCuRqPRFAZrFkmkiIgzoABEpCpGRKXJxvd7wxiSvpHYai2hZvO8D9BoNBpNrlgTQc0FVgHVRORNYDDwqpX1K2CziCjgM6VUjvwrIvIk8CQYD4JZG7bHxsY6RIifQUq64sjPvzLe6RonK4/gug1tc7S+FyeO2HdPT0/zQ5i2Ji0trdjacjR03++OvicmJlr9HRZlxTJBEWkCdAME2KaUOmVV5SI1lVJXRaQasAWYrJTamdv+rVq1UtZmUA4JCaFz585W7VscLD1wkWo/juCB8uGUef4kOLvarC1H63tx4oh9P3XqFE2bNi2WtmJiYqhQoUKxtOVo6L7fHX239H0RkYOW1ijkOsQnIt4ZL+A68D3wHXDNVJYnSqmrpr/XMaKwYKt7UYJIS1f8tGMXXZyP4Nb6CZs6J42mKMksq9GrVy8CAgJo1qwZEydOJC0trVB1f/XVV3lmYciesDS/PPTQQ0RFReVIlmpr7C3TkdHvxMREgoODzdcttwS+JZU7zUEdBH4z/b0BnAHOmt4fzKtiESknIhUy3gM9gOOFNdgR2XziL7rcXkO6uCItx9jbHI2Ds+78Onr80AP/r/3p8UMP1p0veIqjomTZsmUcOXKE48ePc+PGDZYvX25vk/Jk/fr1eHl5FWubjiDTkdHvMmXKsH37do4cOcLhw4fZuHFjsSRxLS5ydVBKKR+lVH1gE9BPKVVFKVUZ6AustKLu6sAuETkC7AfWKaU2FoXRjoRSii9DjjPUZSc0ewQqVLe3SRoHZt35dcz6dRbhceEoFOFx4cz6dVaROKnsEgnLly83Z2no2LEjAAkJCTz22GP4+/vz6KOPkpCQYD4+I7FqamoqycnJFvOx5SaRsXHjRlq0aEFAQADdunXLcdzatWtp3bo1gYGBPPjgg+YEqZn5/PPP6d27NwkJCYSGhtKrVy9atmxJhw4dLGaTgKyCjKmpqYwaNQp/f38GDx5MfHx8jv0dSabj5Zdfpm3btrRq1YpDhw7Rs2dPGjRoYM46ERISQseOHRkwYABBQUFMnDjRnDsvo98iYk4Km5KSQkpKisXrFhISQt++fc2fn3nmGb766qtc+/2///2PsWPHAkb+PV9fX4vn09ZYs0giSCllzuuhlNogIm/kdZBS6jwQUBjjSgK7z0XQ6K91lHeNh9YT7G2Oxs68tf8t/oi0/GMKcPTGUZLTk7OUJaYlMnP3TH4484PFY5p4N+HF4Bfv2K4liYROnTqxadMmatWqZZbR+PTTTylbtixHjx7l6NGjtGjRIks9PXv2ZP/+/fTu3dus0Jrxgzlx4kSLEhk3btxg/Pjx7Ny5Ex8fH3Putsy0b9+evXv3IiIsWLCAt99+m3fffde8/aOPPmLz5s2sXr2aMmXK8OSTTzJv3jwaNmzIvn37ePrpp1mzZs0dz8Hp06dZuHAh7dq1Y+zYsXzyySc8//zzWfZxJJmOOnXqsGfPHqZOncro0aPZvXs3iYmJ5iFWMPLfnTx5Em9vb4YMGcLKlStzKOempaXRsmVLzp07x6RJk2jduvUdz1Nmcuv3c889R+fOnVm1ahVvvvkmn332GWXLlrW63qLCmmXmN0XkVRGpJyJ1ReQVIMLWhpUUPg05y1jXLaTXCITad/1zyJpCkt055VVuLZYkEtq1a8fo0aP5/PPPzfNJO3fuZMSIEQD4+/vj7++fpZ5NmzYRHh5OUlIS27dvBwzHlPGDuXXrViZNmmTev1KlSuzdu5eOHTvi4+Njbjs7ly9fpmfPnvj5+fHOO+9w4sQJ87bFixezYcMGVqxYQZkyZYiNjeXXX39lyJAhNG/enAkTJhAeHp7nOahTp445P+CIESPYtWtXjn3yI9Ph4uJiUaZDRMwyHcHBwVSoUMFqmY6dO/9eI5ahneXn50fr1q2pUKECVatWxd3d3XxDERwcTP369XF2dmbYsGEW++Ts7Mzhw4e5fPky+/fvN2t7WUNu/XZycuKrr75i5MiRdOrUKUvexeLEmghqGPAaxiIHgJ2mslLPkUtRqAs7qe92GVq/CrmkqNeUHvKKdHr80IPwuJw/tjXK1eDLXl8WuF1lQSJh3rx57Nu3j3Xr1tG8eXNzRu3cpBQycHd3p3///qxZs4bu3bvn2Y6lsuxMnjyZadOm0b9/f0JCQrJkRPD19TX/wPr4+JCeno6Xl1eODOBRUVFm3aP+/fvn0KCyJEOxb98+JkwwRjYcTaYjs5xGdqmNjEUXeUlrZMbLy4vOnTuzceNG4uLisvTb29s739IaZ8+epXz58sUmrWGJPCMopVSkUmoK0AnooJSaopTKGcOXQub9HMo4t82kl60CzQbY2xxNCWBKiym4O7tnKXN3dmdKiymFqteSREJoaCitW7dm9uzZVKlShUuXLmWRvjh+/HgW+fWMKCU1NZX169fTpEmTHO1Yksho27YtP//8s1l+wdIQX3R0NLVq1QLIsaAgMDCQzz77jP79+3P16lUqVqyIj4+PeZGGUoojR46YI4XDhw/ncE4AFy9eZM+ePQB8//33tG/fntatW5uPcTSZDmvYv38/Fy5cID09naVLl9K+ffss22/cuGGOthISEti6dStNmjTJ0e+6dety8uRJkpKSiI6OZtu2bXfsd3R0NFOmTGHnzp1ERESY5+mKmzwdlIj4mdIcHQNOiMhBESm+9ZwOSuiNWI6dOEZnDuHUchS4uud9kKbU06d+H2Y9MIsa5WogCDXK1WDWA7PoU79P3gffAUsSCS+88AJ+fn74+vrSsWNHAgICeOqpp4iNjcXf35+3336b4GDjyY+4uDj69+9vXmRRrVo184/uvHnzzPNQuUlkzJ8/n4EDBxIQEMCjjz6aw75Zs2YxZMgQOnToYB6GzEz79u2ZM2cOffr04ebNm3z77bcsXLjQvHw6r/kngKZNm/L111/j7+9PZGSkWUo9M44k02ENbdu2Zfr06bRu3RofHx8GDMh6IxweHk6XLl3w9/cnKCiI7t27Z1kMkUGdOnUYOnQo/v7+DB8+nMDAQIBc+z116lSefvppGjVqxMKFC5k+fbrZKRcrllKcZ34Bv2Lk08v43Bn4Na/jCvIqSXIb/1x+RH0+Y7hKn1VJqajLxdq2vftuTxyx71puo3goqr47gkyHNezYsUP16dNHKXV3XfcildsAyimldmRyaCGm55pKLeHRCaz/PZR97iFI477gWcveJmk0GivRMh0lB2sc1HkRmQEsNn0eAdhe69eBWfjLBfrIr5RNi4FgvbRcoylJOFoux9zo3Lmzw6X1Km6sWWY+FqiK8XDuKtP7UpsuISo+me/2/8nkctuhui/UfcDeJmk0Gs1dSZ4RlFLqFvBsMdhSIli050+apZykltM5CP5ALy3XaDQaG2GN5Hsj4HmgXub9lVI5l63c5cQnp/Ll7gt8VulnSPcCv6H2Nkmj0WjuWqyZg1oOzAMWYEi3l1qWHbiEW/w1gtQuaPs0uBV/6g+NRqMpLVgzB5WqlPpUKbVfKXUw42VzyxyMlLR0Pv/lAv+svBtR6RA0zt4maTSFpqTLbZQkXnzxRXx9ffH19WXp0qXF2vZvv/3Gs88aMzVr1qzB39+f5s2b06pVK4vpkxwFaxzUWhF5WkRqZNOIKlX8ePgqN6Ju0y91MzTuDZXq2dskTQkleu1aznbtxqmm93O2azei1661t0lAyZTbyExhHaotWbduHYcOHeLw4cPs27ePd955h9u3bxdb+61atWLu3LmAkXUkQ57jiy++YNw4x73ZtsZBjQJewHhg9yB/60SVGtLTFfN+DmW892HckiIgeLy9TdKUUKLXriV8xkxSr14FpUi9epXwGTOLxEmVRrmN8uXLM3PmTFq3bs2ePXtylbfITUrjhRdeICgoCH9/fz777DOLbYSGhtKmTRuCgoKYOXOmWd4C4O2338bPz4+AgACmT58OwLlz53jwwQcJCAigRYsWhIaGcvLkSTp16oSLiwvlypUjICCAjRtzqg8ppXjhhRfw9fXFz8/PHGn98ssvdOrUiaFDh9KoUSOmT5/Ot99+S3BwMH5+foSGhgIwevRoJk6cSIcOHWjUqBE//fQTkFVuo3z58uZrGxcXl2suvtGjR2dJcXSnfqemphIUFGRewv/SSy/xyiuvWKw3P1izis+n0K2UcLb9cZ2z12NZVmMrlG0E9bvY2ySNg/LXv/9N0qnc5TYSjhxBJWfNXK4SEwl/5VWillmOWMo0bcI9L798x3ZLq9xGXFwcvr6+zJ49m8TERBo2bJhD3uLpp5+2KCmxcOFCPD09OXDgAElJSbRr144ePXqYs7JnMGXKFKZMmcKwYcPM5wJgw4YNrF69mn379lG2bFlzv4cPH8706dMZMGAAiYmJpKenExAQwOuvv860adOIj49nx44d3H///Tn6s3LlSg4fPsyRI0e4efMmQUFB5puLI0eOcOrUKby9valfvz7jxo1j//79fPDBB3z44Ye8//77AISFhfHzzz8TGhpKly5dzLkAM7Nq1Speeuklrl+/zrp1+dMis9RvFxcXvvrqKwYPHszcuXPZuHEj+/bty1e9lrBmkUSpRinFJyHn6O55iUq3jsFDc/TSck2Bye6c8iq3ljvJbQwdOpSBAwcChtxGxlxEbnIbiYmJDB8+nO3bt9O9e/cs+eO2bt3KkiVLzJ8rVarE2rVrrZLbePTRRwkPDyc5OTmLE1i8eDG1a9dm9erVuLq6ZpHbyCAjEsqOs7MzgwYNAizLW3z88cd069Yth6QEGFnIjx49ao4SoqOjOXv2bA4HtWfPHlavXg3AP/7xD7PG1NatWxkzZoxZJ8nb25uYmBiuXLlizpnn7m7k6OzRo4c5iqtatSpt27a1KNGxa9cuhg0bhrOzM9WrV6dTp04cOHAAFxcXgoKCqFGjBgANGjSgR48egCHXsWOHOdkPQ4cOxcnJiYYNG1K/fn2L0eeAAQMYMGAAO3fuZMaMGWzdutXi+bWEpX6DkQ9y5MiR9OvXjz179uDm5mZ1nbmhHVQe7L8Qye8Xo9jusxMiKkDAY/Y2SePA5BXpnO3azRjey4ZLzZrUXbyowO2qUiq34e7ujrOzs9kOS+Rmn1KKDz/8kJ49e2Ypf+WVV8xRRXYb8qo3Nxsy6s0Y9vrHP/5hjg6tkQMBckhyZJbryMi2DvmT6OjYsSOhoaHcvHmT9957L0u/XVxczBIdSimSTTdRd7rex44dw8vLy+IQbkGwZg6qVPPpz6E0KhePz7XN0PwfUKaCvU3SlGCqTX0Occ+a+V7c3ak29blC1avlNshV3iI3SYmePXvy6aefkpKSAsCZM2eIi4vjzTffNLcD0KZNG/NcW+bosUePHnzxxRdmKfTIyEgqVqxojgbBiPzi4+NJS0szX5uM4dUePXrkkMXo2LEjS5cuJS0tjRs3brBz505zxnlrWb58Oenp6YSGhnL+/HkaN26cZfu5c+fMjvDQoUMkJydTuXLlHP2uV68eBw8aC7bXrFljPk+W+g3G8GRERIQ5Ss8YVi4M1jyo+4RSamGmz87Aq0qp1wvduoNz8uptQk7fYEmTg0hYCgQ/aW+TNCUcz379ALj+3vukhofjUqMG1aY+Zy4vKJnlNpydnQkMDOT27ducPXsWpRTdunUjICCAxo0bM2bMGPMy4+xyG0lJSaSlpdG1a9cschtgzEG9+uqrTJo0CV9fX5ydnXnttdcYOHCgWW4jPT2datWqsWXLliz2Zcht1KpVizZt2pidWQaZ5Ta2bNnCt99+y1NPPcW//vUvUlJSeOyxx5g6deodz0FmeYuMSfuJEydmkZRISEjAw8ODrVu3Mm7cOMLCwmjRogVKKapWrWp2LJl5//33GTFiBO+++y59+vTB09MTMJblHz58mFatWuHm5sZDDz3Ev//9bxYvXsyECROYOXMmrq6uLF++nJo1a9KhQwfAGGL85ptvLA7xDRgwgD179hAQEICI8Pbbb+c7mW3jxo3p1KkT165dY968eeZhxgxWrFjBokWLcHV1xcPDg6VLl1qMiMaPH8/DDz9McHAw3bp1o1y5crn2e9q0aUyfPp1t27ZRp04dnnnmGaZMmZLjZiS/yJ1CSgAR+Q7wAp4AKgNfAj8rpZ4vVMsWaNWqlcp4JiMvQkJCbJZIcfXvV3hn02muRCXgSipHPJ+nbG0/GLnSJu3lF1v23dFxxL6fOnWKpk2bFktbMTExVKhQOqN4e/U9Pj4eDw8Ps9T7999/b5U+VVFibd9Hjx5N3759zQtcHBFL3xcROaiUapV9X2tW8f1DRB7FECyMB4YppXYXlbGOxurfr/DSymMkpBjPVPRw+o2ySdfZU2Uwbe1sm0ajKX4OHjzIM888g1IKLy8vvvjiC3ubVGqwZoivITAFWAE0BUaKyO9KqXhbG2cP3tl02uycAEa5bOLP9Gq8cLgau3rb0TCNRmMXOnTowJEjR+xthlV89dVX9jahSLEqkwQwQyk1AegEnAUO2NQqO3I16u8HF++XMIKdTrMorTtXoi0vc9Vo4M6rtzQajUF+vyfWLDMPVkrdNlWugHdF5McC2FYiqOnlQcvbW/inyzJqyU3SFcQqd2p6edjbNI2D4u7uTkREBJUrV85zubVGU1pRShEREZFj0cadsGYOylLCqHoYkdRdx/v3n8X34AI8xFjzL8As18Ucv78xUOoURjRWULt2bS5fvsyNGzds3lZiYmK+vuB3E7rvJb/v7u7u1K5d2+r9C/qg7kLg3gIe69AEhX4IkvWpfg9JNsrR8u6anLi6uubIPmArQkJCCAwMLJa2HA3d99LX91wd1B2G8QRjufndSfTl/JVrNBqNxibcKYLqAIwAYrOVC2D1o82mB3t/A64opfrm28LixrM2RF+yXK7RaDSaYuNODmovEK+U+jn7BhE5nY82pgCngIr5tM0+dJtJ0sqnKUPK32WuHtBtpv1s0mg0mlJIrsvMlVK9lVI7ctnW0ZrKRaQ20AdDLr5EkNBkEEtTO5s+CXjWgX5zwX+oPc3SaDSaUkeeqY4KVbnID8B/gArA85aG+ETkSeBJgOrVq7fMnIzxTsTGxmYR0CoqwqLTSDjwJeNdN7C7w1KUk+MlfLdV30sCpbnvULr7r/t+9/a9S5cuBUt1VFBEpC9wXSl1UEQ657afUmo+MB+MXHzW5lmzVU62lYcuU++3i6RVbkynrg8Wef1FgSPmoysuSnPfoXT3X/e9s73NKHZsKbfRDugvImHAEqCriHxjw/aKhLPXY2nq9CeuNf3z3lmj0Wg0NsNmDkop9ZJSqrZSqh7wGLBdKTXCVu0VFeFXL1FdonC6x9fepmg0Gk2ppkAOSkRmFbEdjsO1E8Zf7aA0Go3GrhR0DupgfnZWSoUAIQVsq9hISE6jctxZ46xU1w5Ko9Fo7EmuEZSIvGX6OyT7NqXUWlsaZS9Cb8TSVC6S6F4VylWxtzkajUZTqrnTEN9DIuIKvFRcxtibM9diaCp/klatmb1N0Wg0mlLPnYb4NgI3gXIikjmjuWAob5SMzBD54Fx4FH3lCs61Hra3KRqNRlPquVMmiReUUp7AOqVUxUyvCnejcwKIvXISN0nFuYZeYq7RaDT2Js9VfEqpUhNOuNw8abyprof4NBqNxt4UdJn5/KI2xN4kJKdRLf4cqeIKVRra2xyNRqMp9RT0Qd3PitQKB+Dc9Viayp/EeTYEZ1d7m6PRaDSlngI5KKVUvp6DKgmcuRZDE6eLiB7e02g0GocgTwclIltExCvT50oissm2ZhU/l68YKY7K3dvc3qZoNBqNBusiqCpKqaiMD0qpW0A125lkH1KuHAXAuYbOIKHRaDSOgDUOKl1E7s34ICJ1AduJSNkJ98iMFXx+9jVEo9FoNIB1ufheAXaJSIb0e0dMAoN3C/HJqdRIDCXWoyrly1W2tzkajUajwQoHpZTaKCItgDYYWSSmKqVu2tyyYiT0ehxN5CIJlZpw92pWajQaTcnCqmzmJof0k41tsRtnwyPpI1eIr5lDkV6j0Wg0dsJmku8liYiLJygjqbjUDbC3KRqNRqMxYUvJ9xKDCj8OgLOWeddoNBqHwSoHJSLtRWSM6X1VEfGxrVnFS7moP0gRV6isUxxpNBqNo2DNg7qvAS/yty6UK/CNLY0qTuKTU6mdFMqtsvXBWY94ajQajaNgTQQ1AOgPxAEopa4CFWxpVHFy7nosTZ0uklzlfnubotFoNJpMWOOgkpVSCtPDuSJSzrYmFS8XL/5JNYnCvbaef9JoNBpHwhoHtUxEPgO8RGQ8sBX43LZmFR8xFw8DUMmnhZ0t0Wg0Gk1mrHlQd46IdAduA42BmUqpLTa3rJiQa0aKI+caOsWRRqPROBJ5OijTir1fMpySiHiISD2lVJitjSsOPG//QZRLFbx0iiONRqNxKKwZ4lsOpGf6nGYqK/HEJ6dSN+UCURUa2dsUjUaj0WTDGgflopRKzvhgeu9mO5OKj3N/3eI+uUx6NS1SqNFoNI6GNQ7qhoj0z/ggIg8Dd0Wy2L9Cj+EmaVqkUKPRaBwQa55MnQh8KyIfYWQzvwQ8ntdBIuIO7ATKmNr5QSn1WiFsLXISLx8BoHL9QDtbotFoNJrsWLOKLxRoIyLlAVFKxVhZdxLQVSkVKyKuGJpSG5RSewthb5HieuMkybjiVq2xvU3RaDQaTTasWcVXBhgE1ANcRAQApdTsOx1nerg31vTR1fRyKCVe79gz/FXGh3t1iiONRqNxOMTwI3fYQWQjEA0cxFjBB4BS6t08KxdxNh13H/CxUupFC/s8iUmht3r16i2XLFlileGxsbGUL19wecHEVEWLX0YTVq458cFTC1yPPShs30sypbnvULr7r/t+9/a9S5cuB5VSrXJsUErd8QUcz2sfK+rwAnYAvnfar2XLlspaduzYYfW+ljh+5qxSr1VUJ1f+p1D12IPC9r0kU5r7rlTp7r/u+90L8Juy4BOsWcX3q4gUKs2CUioKCAF6FaaeoiQi9HcAPOvZZwVf9Nq1nO3ajVNN7+ds125Er11rFzs0Go3GUbFm8qU9MFpELmAsfBCMKaY7ZlcVkapAilIqSkQ8gAeBtwprcFGRcsVYwVftvpbF3nb02rWEz5iJSkwEIPXqVcJnzATAs1+/YrdHo9FoHBFrHFTvAtZdA/jaNA/lBCxTSv1UwLqKHPfIU9wUb6pUqFrsbV9/732zc8pAJSZy/b33tYPSaDQaE9YsM/8TQESqAe7WVqyUOgo47ANG1eLPca1sQ6rYoe3U8HDL5VevopKTEbe7IlGHRqPRFAprFHX7i8hZ4ALwMxAGbLCxXTYlLj6euumXSPRuapf2XWrUyHXbuR49ifjyK9Ji44rRIo1Go3E8rFkk8QbQBjijlPIBugG7bWqVjbl89ihukoaLnSQ2qk19DnHPGoyKuzveT4zFrU4drr/1Fue6deP6Bx+QGhlpFxs1Go3G3lgzB5WilIoQEScRcVJK7RARh1nsUBCiLhwCwLuBfUQKM+aZrr/3Pqnh4bjUqEG1qc+ZyxOOHCFiwQIi5n1G5Bdf4jVoEN5jx+BWu7Zd7NVoNBp7YI2D5fKhpQAAIABJREFUijKlOdqJkZPvOpBqW7Nsi/rrOEnKlZoN7CdS6NmvX64LIjwCAqj94Ycknb9AxBcLubV8ObeWLqVir15UHj+umC3VaDQa+2DNEN/DQAIwFdgIhAIleqlZ+ag/uOhyL84urvY25Y6Uqe9DzX/9i/u2bsF71Chid+zgwiMD8PrwQ+L27c94CFqj0WjuSvJ0UEqpOKVUGlAWWAt8g4Pl1MsvNRJDiShXckQKXatXp/o/X+C+kB1UnToVl4uXuDhqFGGPPsbtzZtR6el5V6LRaDQlDGuSxU4AZmNEUemYHtQF6tvWNNsQF3mVykRxsop9VvAVBueKFaky4UmO+9QjIDKSiIVfcOXZKbjVq0flcU9QsX9/nPQSdY1Gc5dgzRDf80AzpVQ9pVR9pZSPUqpEOieAv84cBMC9ToCdLSkEbm5UeuwxGmzcQK33/oeU9SD81RmEPtidiIULSYuNzbsOjUajcXCscVChQLytDSkuYv88DNgnxVFm1p1fR48feuD/tT89fujBuvPr8l2HODtTsXdvfFasoM7CBbg1qM/1d+ZwrktXrr/7P1Jv3LCB5RqNRlM8WLOK7yWMhLH7MHLxAaCUetZmVtkQp+sn+Et5U7uW/ZZsrzu/jlm/ziIxzUh3FB4XzqxfZwHQp36ffNcnIpRv147y7dqRcOw4EQsXErFgAZFff43ngAFUHjsGt7p1i7ILGo1GY3OsiaA+A7YDezG0nTJeJRLP26e56FofZyexmw0fHPrA7JwySExL5INDHxS6bg8/X2q//x4NNqzH85FHiF65ktDeD3F56lQSTpwodP0ajUZTXFgTQaUqpabZ3JLiIDWZGikXOe3dxq5m/BX3V77KC4JbvXrUmP06VSc/Q+Sixdz6/ntiNmyk3ANtqTx+PGXbtCFDHVmj0WgcEWsiqB0i8qSI1BAR74yXzS2zAfHhp3AllfTqvna1455y91gsVyhe3fUql2IuFVlbLlWrUu3/pnHfju1Ue/7/SDx7lotjxhI2eAi3N25EpaXlXYlGo9HYAWsc1D8wzUPx9/Deb7Y0ylbcOGeMTJa7174r+Ka0mIK7c9ZcfGWcy9C+Zns2hm2k/6r+zPp1FldjrxZZm84VKlB53Dju27aNe96YTXpsLFeem0roQw9xa8lS0pOS8q5Eo9FoipE7OigRcQJGmJaWZ36VyGXmiZeOkKRc+f/27jw+yvJc+PjvmiWTPZA9IQskQFgjIiooFrRqUbSWetD2LK09ba1d0Z7zvscutrRVe+qntUdfd/Ec2h6tYkGFgxY4Ii5QERdM2JewkxDCkpXs9/vH82SSSQIJYSYzmbm+n08+mbmfZ2buW2Ku3M9z3dc9IogljsBKhFh4xUKy4rIQhKy4LH5xxS948roneeOLb3Bb0W0s37ucua/M5f737/frpT9HVBTD58+n4PWVjHjkEZyJSVQsXMiez15L1TPP0lZb67fPUkqpC3HOe1DGmHYR+S0wY5D6E1Duqm3sJofxqYnB7gpzC+b2mrGXFpvGjy7/EV+b9DUWlS5i6e6lLNu9jPlj5/ONyd8gLdY/GyyK00ni564n4frraNj4AScWLeL4ww9z4umnGfal20n+yldxZ6T75bOUUmog+nOJb7WI3CphcEc9pW43Rz2FQc3g66/MuEx+Ov2nrJy3ks8Xfp4lO5dww7IbeGjTQ9S01fjtc0SEuOmXk7foWUYtW0r8rFmc/K/F7L32Wsrvu4+mffv89llKKXU++hOgfgi8DDSLSI2I1IqI/35DDpa6SpLaT1E3bFywe3JesuOzWXjFQpbPW86ckXN4fvvzLDyykIc/fJhTjaf8+lnREyYw4uHfUbjqrwyb/3dUL19B2Y1zOfz9H3CmpMSvn6WUUn3pT7HYBGOMwxjjNsYk2s+Df43sPJ05/CkAjszgZvANVG5CLvfPvJ/lX1jOlNgpLN66mDlL5/Dox49S3VTt18+Kys0l82c/Y/TaN0n51p3Ub9zI/ttu58BX76Du3fe0irpSalD0ZwbVse37b+2vmwLdqUA4WWZtUpg0ckqQe3Jh8hPz+UrqV3j1lleZlTOLRaWL+NzSz/H45sepafbvxNaVkkL63Xczeu1a0v/t32jev59D3/wm+754K9UrV2Jah/S2YEqpENdngBKRfwcWANvsrwV225DScqSEcpPMyLy8YHfFLwqGFfDQrIdY+vmlXJF9BU99+hRzls7h6U+fpq7Zv8VinfFxpHztDkavWU3WAw9gmpo4+i//yt45N3DyhRc4tWwZu6/5LNvHT2D3NZ+lesUKv36+Uioy9aeSxI3AFGNMO4CI/AH4BLg3kB3zt5iTO9hu8rkqOTbYXfGrMcPH8PDsh9lxcgdPbH6CxzY/xp+2/4k7Jt7B34/7e2Ld/huvREUx7NYvkjTvC9StXcuJZxdx7Je/8jmn9ehRyu/7GcBZdwxWSqn+6NclPmBYl8dJgehIwJQsgd9PJP3MHi517MS55eVg9yggxiWP49FrHuXFm17korSLeOTjR5izdA6LtyzmTOsZv36WOBwkXHst+S/+GWdKSo/jprGRioW/4PSyV2jcto325ma/fr5SKjL0Zwb1a+ATEXkLa7PCz2BVlgh9JUtgxQ+g5QwCxNFgPQcovi2oXQuUiSkTefyzj1NyvIQnNj/B7z76HYu3Lubrk7/O/LHziXZF9/0m/SQitJ082eux9vp6yn/8Y+uJy4Vn1Cg848YRPa4IT5H13ZWa6re+KKXCz1kDlIhcaYxZDywD1gGXYgWofzPG+K+0QSC9+Uto6TZ7aDljtYdpgOpQnFbMU9c9xcfHPuaJzU/w0KaHWLxlMd8o/ga3jrmVKKd/dt51ZWXRerRnSSZXVhZ5zz1H084dNO7YSdOOHTRs2kRNl/tTztRUoouK8IwrInrcODxFRXhGjULcbr/0TSk1tJ1rBvUocAnwN2PMVGD54HTJf0z1YXpbknu29nA0NWMqiz63iE0Vm3jsk8d4cOODPFf6HHcW38m80fNwOy8sGKTfczfl9/0M09i5fYhER5P+w3vwFIzCUzCKxBtu8B5rPXWKpp27vIGrcecOGv74J0xLi/XaqCiiRhcSXeQ723IOG9bjs5VS4e1cAapFRP4LyBGRR7sfHAobFh4jlUx67iprtUeWSzMvZfGcxWys2MhjnzzGr97/Fc+VPse3LvoWNxfejNsxsEDVkQhR+fv/oLW8HFdWFun33H3WBAnX8OG4pl9O3PTLvW2mpYWmffto2rmTxu07aNqxg7p33qH6lVc6X5eVRXRREXEx0dQ0NuIpKiIqLw9xOgfUb6VU6DtXgLoJuBa4hgFsUCgiucAfgUygHXjGGHPhO/Kdh183z+fX7kXESudN+gYTxa9b5jOoHQkRIsL0rOlcnnk564+u5/FPHufnG37OotJF3HXRXdw46kZcjv7clvSVdPPNF5SxJ2430WPHEj12rM/7tB4/bl0e7LhMuHMHcXvLOPLGX63XxcTgGTuG6KJxnZcJxxbhjI8bcF+UUqHjrL+NjDFVIvIykG2M+cMA3rsV+BdjzMcikgB8JCJrjDHbBtrZ8/Vh4nX8pKadh91PAXDEpPJQ6218lHjdYHUhJIkIM0fM5MrsK3nn8Ds8vvlxfvLeT3i25Fnuuugu5oycg9MR/JmJKy2N+LQ04q+a6W1bt2YNl2dn02RfHmzasZOaVatoX7LEe447N9fn8qBn3DjcI0boBo1KDTF9VTNvE5GbgYfP942NMeVAuf24VkS2AyOwFvsOiv/zuSKeXrYfEbin+du80n4VMW4nv/5c0WB1IaSJCLNyZ/GZnM+w9tBantj8BPe+ey/PlDzDt6d8m+vzr8ch/V2JMEjcbmImTiRm4kRvkzGG1ooKGnfssC4T2kkZtf/7JthlmRzx8XiKinyTMsaMwRETE6yRKKX6IH3VVRORB7DWPr0E1He0G2M+7veHiIwE3gEmGWNquh27E7gTICMj45IXX3yxX+9ZV1dHfHx8n+dV7FjPlyoe4vNNv+KIZzS3jnVzRfbQzhLr79jPV7tp59OGT3m9+nUqWirIdmdz47AbKY4pDpnZx3mNvakJ19GjuA8fxnX4MK7DR3AdOYLDTugwIrSlp9Oak0NLzghac3JozcmhfdgwCJHxdheof/uhQMcevmO/+uqrPzLGTOve3p8A9VYvzcYYc01/PlhE4oG3gQeMMcvOde60adPMhx/2b7PedevWMXv27D7PK1/5a7I2/TtrbvmI6y4e3a/3DnX9HftAtbW3sWr/Kp789En21+xnfPJ4vjPlO8zKmRX0QHWhYzft7bQcOWLNtrpcJmw5fNh7jjMpqcearajRo3FE+Sc1/0IE+t8+lOnYZwe7GwEjIr0GqD7viBtjrr6AD3UDS4Hn+wpOgdJcsYMKM5yCnEjL2xs4p8PJjQU3cv3I63lj3xs8+emTfH/t95mYMpHvTvkuM0fMDHqgGihxOIjKzSUqNxeu67wX2VZXZ18e7AhcOzn10pLO9HldbKzUoOszQIlIBvAgVrLEDSIyAZhhjHmuj9cJ8Byw3Rhz3vew/MV1cjdlJpvLwqwG32BwOVzcXHgzN4y6gRV7V/B0ydN8583vUJxWzHenfJcZWTOGbKDqzhkfT+wllxB7ySXeNtPWRvOBg7rYWKkg6U9O8WLgv4Cf2M93Yd2POmeAAq4E/gkoFZHNdtuPjTGvD6CfA2MMw8/s56PoWbicIXazfwhxOVzMGzOPmwpu4tW9r/JMyTN8a823mJo+le9d/D0qGyp55ONHqKivIDMukwVTF/S6nf1QI06nLjZWKoj6E6BSjTFLRORHAMaYVhFp6+tFxpj3IMgFG+oqiW2vpzEpPO49BZvb6Wb+2PncUngLy3Yv49mSZ/nnVf+MAwfttANQXl/Owg0LAcIiSPWmz8XG9mXCunff9V1snJlpzbK6zLZ0sbFSZ9efAFUvIimAARCR6YB/t3ANkOZjO4gCnBljg92VsBLljOJL477EvDHzuGbJNT02Smxsa+S3H/42ZNZTDYbzWWxc9+670Gb9jaeLjZU6u/4EqB9i1eErFJH1QBrwdwHtlZ9U7S8lGxiWMzS3eQ91HqeH2ubaXo9Vnalixp9nMCFlApNTJ3u/MuMyw+a+VX/0tti4vamJpj17BrTYWKlI0p8svo9FZBZQhHXJbqcxpiXgPfODM0d3UG885I4sDHZXwlZmXCbl9eU92od5hjG3YC6lx0t5fvvztLRbPzIp0SlMTrOC1aTUSUxKnURiVOJgdzuoHB7PgBcbD8/MoOKdd/tcbFy9YkW/6yMqFar6k8UXDXwHmIl1me9dEXnKGNN47lcGn+OElcFXlBq+C9yCbcHUBSzcsJDGts4fh2hnNPdedq/3HlRLWwu7Tu2ipKqELVVbKK0qZd2hdd7zRyaOtGZYduAaO3ys37YDGSpEBHdWFu6sLBKu7lzZ0d7QQNPu3Z2XCTd+QPVrr9H+gr1m3uEgKj/fClj2ZcLmQ4c5/rvfeVPkdZdjNVT15xLfH4Fa4P/Zz78M/AmYH6hO+UtC/T72Ro1jsksz+AKlIwidK4vP7XQzMXUiE1M7Zww1zTVsrdrKlqotlFSVsOHoBlaUWenbboeb8cnjvTOsyamTyU/Mj6hLgx0csbHEXHQRMRddBMCOdeuY9ZnP9Fhs3Fi6hVq7iG5vTGMjlb/9nQYoNaT0J0AVGWMu6vL8LRH5NFAd8pvmBlJbj7E+42Ie+sv1YZcCHUrmFsw97/+miVGJzMiewYzsGYB1ietYwzFKq0opPV5KaVUpr+x5hRd2vOA9f1LqJBLqE5BDwqTUSaTE9NxuPhL0tdj4wD/8Y6+vaz12jF0zriCqsABPQSGewgKi7O+urKyI/ANAhbb+BKhPRGS6MeZ9ABG5HFgf2G5duObKXayJi+W12F201LcCkZECPVSJCJlxmWTGZXJdvvVLt629jb3Ve72XBUuPl/J+9fusWrsKgOy4bJ/7WRNSJhDjitzirx2LjV3Z2b3ucuxITCTh2mtpKiujdvVqTp8+7T0msbF4Ro3yBq+owgI8haOJystFXOe/BYtS/tCfn7zLga+IyEH7eR6wXURKsWryFQesdxegav8WHhk+jBZafdob2xp55ONHNEANAU6Hk7HDxzJ2+Fi+OOaLAKxau4q0iWlWwKoqZUvVFlbttwKWU5yMHjaaSamTKE4rZlLqJAqTCiMm1b3D2XY5zrzvp74p8CdP0rx3L017y2jau5fmvXtp+GATNcs7K2XgdhOVn9cZtDpmXqNGaSV4FXD9CVBzAt6LAKg7vI0KV++/mCrqKwa5N8pfPA4PUzOmMjVjqrftxJkT3lnWlqotrDmwhqW7lwIQ44phQsoEilOLvfezwj3Vvb+7HLuSk3ElJxN76aU+7W119TTv6whaZTSVldG0axe1b77pXb+FCO7s7G4zrkI8BQVaMUP5TX/SzA8MRkf8zVTtIjUaxu5q4+/XGVJq4EQivDBbKLssJ9jdU36UEpPCrNxZzMqdBVj3sw7WHvReFtxStYX/3v7f3lT31JhUb7CanDqZiakTwy7V/UJ2OXbGxxEzeTIxkyf7tLc3N9Ny4ABNe/f6BK+GjR9gmpo6X5+aiqegwHfGVViIKz09rP8wUP4XtheXY2vKuHOrh3HvNeCxV22l1cBdbxhOF80894vVkCYi5Cfmk5+Yz00FNwFWqvvOUzu9s6yS4yU9Ut07LgtOTp1M0fAi3E4t+NqVIyoKz5gxeMaM8Wk3bW20HD3aJWhZ32tWvk57TWeVEUd8PFEFBZ3By55xuXNztdyT6lV4Bqj2NtKbDzFx0whc3ZYUe1pgxPNvw9eD0zUVHG6n25u23qF7qvv6I+tZvne5dX63VPfitGLyEvJ0BtALcTo7swq77FlkjKGtqsq+x7XHO+OqX7+e6ldf7Xx9VBRRI0f2mHFFjRyJw+MJwohUqAjLANVy8iAemnHWNfV6vLW8Z+UDFXnOlupecrxzQXFvqe4dlwYjOdW9P0QEV1oarrQ0n8K6AG01NTSXlVnBy55xNW7dRu1fV3krZ+Bw4M7J8c64oltaODNsGFGFhTgTEoIwIjXYwjJAHd9XQjbQOjwJ96medW1dWVmD3ykV8rqmul8/8nrAN9W9I3A9W/os7caq3j4ifoRP0BqfMj6iU937y5mYSMyUKcRMmeLT3t7URPP+/TTt6ZxxNe/dS/369SS1tLD/j38CwJWe7pugYc+8nKmpOssNI2EZoKoPbSMb2DN/JqOfW4m7y+YgEh1N+j13B61vamjpLdW9oaWB7Se3+2QOdk9177o+KxJT3QfK4fEQXVREdFGRT7tpbeW9pcuYkpbqk6BR/eqrtNfXd74+MdEnQaPjXpd7xAjEoRVlhpqwDFCtlTs5YRJ492JDXJqTvEoDxmjRTOUXse5YLsm4hEsyOnffrTpTxdaqrd71Wav2r+Ivu/4CWKnuE1MmegNWcVoxGbEZ+pf+eRCXi7aMdBJmzybhmmu87cYYWisrrfVce/Z6LxfWrXub6qXLOl8fHU3UqFE9swvz85GoyKr7OJSEZYCKri5jv3ME23a/xzcq20n5xjdJ/+E9we6WCmOpMam9prp3XBY8W6p7x/qscEx1HwwigjsjA3dGBnFXXOFzrO30aWsNV5fswjObN1OzcmXnSR0JHnZGYUcFDU/BKBxxuidXsIVlgEptPMC6YcVM+bQMR7sh6ZbPB7tLKsJ0TXW/udCasTe3NbPr1K6zprqPShrVOctKLWbs8LGa6n4BnMOGETt1KrFTp/q0tzc00LRvn52k0Xm5sO7tt6G1s/KMKyur9/VcycmDPZSIFXYBqrXuBMPNaT5NdHLjFkPUpIl4CnU/KBV8Uc6os6a6d1waPFuqe8c9LdOR4aYGzBEb22M/LgDT0kLzoUM91nOd/stSTEOD9zynnUnos56rsFAL7gZA2AWoyn1byAaqT1Yy6phh+DfnBbtLSp1Vb6nuFfUVnbOsqhKfVPdYRywXr7nYmzl4tlT3lWUrz7kFiupJ3G489kJiOovEY9rbaa2o6FFBo3bNGtpe7qvgbiFRubmIW2fCAxF2AerkgS00u1xMLDmNcTpInHtjsLukVL+JCFnxWWTFZ3lT3VvbWymrLqP0eCmrS1dTdabqnKnuB2oO8ODGB72bSGoV/wsjDgfu7Gzc2dnEX3WVzzGfgrv2jKth04c9C+7m5fnMuDoqamjB3XMLuwDVfGwnb0bHcdVWg3vmDFzDhwe7S0pdEJfD5U11TzmawuzZs3ukupceL/WmuvdGq/gHxnkV3N29m9q1a7Xg7nkIuwDlPrWHfScSuKKunYxbbw92d5QKiHOlun9v7fd6fU15fTnzXptHbkIueQl55CXaXwl5ZMRm6FotP+q74G7njKvXgrspKb7ruerqaBk/PuIK7oZfgDqzn/xd0BLnIb5LXTClwl1HqntWXBbl9T3LecW548hLyONg7UE2HN1AU1vnL0S3w01OQg75CfnkJtoBzA5imXGZuBxh96siKM674O7rb9BeU8NwYM+jj+KIi+uZoFFQgDsnJyw3lgyrEbW1NFHmOM2lO5OQm67CoQvwVARaMHUBCzcs9N6DAoh2RnPf9Pu8l/jaTTuVDZUcqj3EgZoDHKw9yKGaQxysPcjGio2caT3jfa3L4SInPseaeSV2Bq68hDyy4rNwOzQB4EL1VXB347JljE9I8Aav+g0bfAvuut12wV3f4BU1atSQLrgbVgHq2P7tHC2PZVQr5N7+tWB3R6mg6AhC58ric4jDW3fw0kzf+yfGGI6fOc7BmoMcqrWC1oGaAxyqPcRHxz6iobUz5dolLrLjs3vMuvIS8hgRP0LXcV2gjoK7LUVFJHe7ItRWW9sjQaNx2zZqV6+GdiuBpnvB3a7ruYZCwd2ABSgR+U/gJqDSGDOpr/Mv1JKf3k726hKuqHHT6oDX//Ibbrv4pUB/rFIhaW7B3AEnRIgI6bHppMemMy1zms8xYwwnGk90zry6BLFPKz+lrqXOe65DHGTFZfkELW/wShiBxzl0/7IPBc6EhHMW3O0evOrXr8e0dO4/5EpL6znjKijAlZYWMve5AjmDWgw8BvwxgJ8BWMFp7KsleOxF4K52GPtaCUvkdm67X4OUUv4iIqTGpJIak8rF6Rf7HDPGcKrplDdodb10+Pq+16ltru18H4SsuKxeZ145CTlEu6IHe2hh41wFd1sOH+5W/qmM6tdeO++Cu9UrVlD5+/+gtbw8oDVOAxagjDHviMjIQL1/V9mrO4NTB0+r1c79g9EDpZSIkBydTHJ0MlPSp/Q4Xt1U3eN+18Gag6w5sIbTTad9zs2Izegx6zrWfIyGlgZi3bGDNaSwIi6XdZ9q5MizF9ztMuPqUXDX4yFq1CjE46Fx61ZvWajWo0cpv+9nAH4PUhLI0il2gPqfc13iE5E7gTsBMjIyLnnxxRf79d51dXXEx8cDkHbXt+mtkH47cPypJ8+v00NA17FHmkgeO4Tv+BvaGqhqreJ463GOtxy3vrcep6qlitr2Wp9zk5xJpLnSSHWlkuZOI82VRprbeh7tCM+ZV7D+3aW+Hld5Ba6KcpwVFbjKK4javh3puMfVRVtyMlUPPjCgz7n66qs/MsZM694e9ADV1bRp08yHH37Yr/det24ds+2bhu9dNp6Ump7nnEiEmR9s719nh5CuY480kTx2iMzx1zbXcqj2EH99/68k5CZ4EzYO1h6k6kyVz7kp0SnkJ+b7ZBx2XEZMiAr9pICzCaV/9+3jJ3TuetyVCOO3bxvQe4pIrwEqLLL4jl5fTPyrvpf5mlxWu1JqaEuISmBCygQq4yqZXTzb51hDS4Pv/a7aQxysOcjfjv6N1/a+5nNucnSy7yJl+3tuQi5JnqRBHNHQ5srKovXo0V7b/f5Zfn/HILjt/pdYgpXFN7wGTiVawUkTJJQKb7HuWIqSiyhKLupxrKGlgcN1h733uzpmXpuObWJF2Qqfc5M8ST6LlHMTcslPzCcvIY8kT1LIZLWFgvR77qb8vp9hGjvX2QVqp/JAppn/GZgNpIrIYeDnxpjnAvV5t93/kiZEKKW8Yt2x3hqG3TW2NnKk7kjn5cKagxysPcgnxz7h9bLXMXRewkqISug1VT43IZfk6OSIC14diRBDPYvvy4F6b6WUuhDRrmgKhxVSOKznXnHNbc3emVfXS4cdBXk7qsgDxLvje62wkZeYR0p0StgGr6Sbbw5IQOouLC7xKaWUv0Q5oyhIKqAgqaDHsZa2Fo7UHfG533Wg9gDbT2znfw/8L22mzXtujCum1/td+Yn5pMWEzmLYUKYBSiml+sntdDMyaSQjk0b2ONbS3kJFXQUHan0rbOw+tZu3Dr1Fa3tnFle0M7rXRcp5iXmkx6bjkN4WzkQeDVBKKeUHboeb3MRcchNzYYTvsdb2VirqK7yLlA/UHuBQzSH2Ve/jncPv0NLeWYLI4/SQm5Drk3F48sxJxtaNjbhtUTRAKaVUgLkcLnIScshJyIFs32Nt7W1UNlT6zrzspI2u26I8vvRx77YoPrMue61XVlxW2G2LEl6jUUqpIcbpcJIVn0VWfBbTs6b7HOvYFmXFuysYXjDcp0zUBxUfnHNblK6p8kN1WxQNUEopFaI6tkUZEz2G2WNn+xzrbVuUjplX921RnOIkOz6716SNnPickN0WRQOUUkoNQQPeFmXvubdF6TrzOtu2KCvLVp5zvzF/0QCllFJh5ny2RfFW2TjLtiiZcZk+97uONRzj5V0ve++NldeXs3DDQgC/BykNUEopFUEGtC1Kbe/bonRobGvkkY8f0QCllFIqcJI8SRSnFVOc1rPYdnVTNVe9eJVPKagOFfUVfu+LrgZTSinVL0meJDLjMns9drb2C6EBSimlVL8tmLqAaKfvxpDRzmgWTF3g98/SS3xKKaX6reM+k2bxKaWUCjlzC+YGJCB1p5f0NW9VAAAHQ0lEQVT4lFJKhSQNUEoppUKSBiillFIhSQOUUkqpkKQBSimlVEgSY3quCA4WETkOHOjn6alAVQC7E8p07JErksevYw9f+caYtO6NIRWgzoeIfGiMmdb3meFHxx6ZY4fIHr+OPfLGrpf4lFJKhSQNUEoppULSUA5QzwS7A0GkY49ckTx+HXuEGbL3oJRSSoW3oTyDUkopFcY0QCmllApJQy5AicgcEdkpIntE5N5g9yfQROQ/RaRSRLZ0aUsWkTUistv+PjyYfQwUEckVkbdEZLuIbBWRBXZ72I9fRKJF5AMR+dQe+y/s9lEistEe+0siEhXsvgaKiDhF5BMR+R/7eSSNfb+IlIrIZhH50G4L+5/77oZUgBIRJ/A4cAMwAfiyiEwIbq8CbjEwp1vbvcCbxpgxwJv283DUCvyLMWY8MB34rv3vHQnjbwKuMcZcBEwB5ojIdOA3wO/tsZ8Cvh7EPgbaAmB7l+eRNHaAq40xU7qsf4qEn3sfQypAAZcBe4wxZcaYZuBF4JYg9ymgjDHvACe7Nd8C/MF+/AfgC4PaqUFijCk3xnxsP67F+mU1gggYv7HU2U/d9pcBrgH+YreH5dgBRCQHmAsssp8LETL2cwj7n/vuhlqAGgEc6vL8sN0WaTKMMeVg/RIH0oPcn4ATkZHAxcBGImT89iWuzUAlsAbYC5w2xrTap4Tzz/9/AP8XaLefpxA5Ywfrj5HVIvKRiNxpt0XEz31XQ21HXemlTfPkw5yIxANLgbuNMTXWH9PhzxjTBkwRkWHAK8D43k4b3F4FnojcBFQaYz4Skdkdzb2cGnZj7+JKY8xREUkH1ojIjmB3KBiG2gzqMJDb5XkOcDRIfQmmYyKSBWB/rwxyfwJGRNxYwel5Y8wyuzlixg9gjDkNrMO6DzdMRDr+sAzXn/8rgc+LyH6sy/jXYM2oImHsABhjjtrfK7H+OLmMCPu5h6EXoDYBY+xsnijgS8DyIPcpGJYDX7UffxV4LYh9CRj7vsNzwHZjzMNdDoX9+EUkzZ45ISIxwLVY9+DeAv7OPi0sx26M+ZExJscYMxLr//G1xph/IALGDiAicSKS0PEYuB7YQgT83Hc35CpJiMiNWH9NOYH/NMY8EOQuBZSI/BmYjVVu/xjwc+BVYAmQBxwE5htjuidSDHkiMhN4Fyil817Ej7HuQ4X1+EWkGOtGuBPrD8klxphfikgB1qwiGfgE+EdjTFPwehpY9iW+fzXG3BQpY7fH+Yr91AW8YIx5QERSCPOf++6GXIBSSikVGYbaJT6llFIRQgOUUkqpkKQBSimlVEjSAKWUUiokaYBSSikVkjRAKTVAIrJORKb1feYFf84P7Iruz/v5fe8Qkcf8+Z5K+dNQK3WkVFgQEVeXunJ9+Q5wgzFmXyD7pFSo0RmUCmsiMtKefTxr76u02q7M4DMDEpFUu7ROx8ziVRFZISL7ROR7IvJDe2+i90UkuctH/KOIbBCRLSJymf36OHsfr032a27p8r4vi8gKYHUvff2h/T5bRORuu+0poABYLiL3dDv/DhFZJiJ/tfcIeqjLsS/b+wltEZHfdGn/mojsEpG3sUoKdbSnichSu8+bRORKu32WvSfRZnssCRfy76HUeTHG6Jd+he0XMBJrX6kp9vMlWBUIwKpvN81+nArstx/fAewBEoA0oBq4yz72e6yitR2vf9Z+/Blgi/34wS6fMQzYBcTZ73sYSO6ln5dgVcyIA+KBrcDF9rH9QGovr7kDKAOSgGjgAFatymysSgNpWFdJ1mJtzZDVpT0KWA88Zr/XC8BM+3EeVnkpgBVYhUux++UK9r+pfkXOl17iU5FgnzFms/34I6yg1Ze3jLUHVa2IVGP9ogYriBR3Oe/PYO3bJSKJdv2867GKnf6rfU401i99gDWm9/I0M4FXjDH1ACKyDLgKq6TPubxpjKm2X7MNyMfammKdMea43f48VgClW/tLwFi7/VpgQpdK8Yn2bGk98LD9HsuMMYf76I9SfqMBSkWCrvXa2oAY+3ErnZe5o8/xmvYuz9vx/f+me60wg7U1xK3GmJ1dD4jI5UD9Wfo40D1Euo/N1cd7na22mQOYYYw5063930VkJXAj8L6IXGuMicitH9Tg03tQKpLtx7q0Bp1Vss/X7eAtbFttz2ZWAd+3q7EjIhf3433eAb4gIrF2Bet5WIVyB2IjMMu+r+YEvgy8bbfPFpEUexuT+V1esxr4XscTEZlify80xpQaY34DfAiMG2CflDpvOoNSkey3wBIR+Ses+zQDcUpENgCJwD/bbb/CqrhfYgep/cBN53oTY8zHIrIY+MBuWmSM6evy3tneq1xEfoS1PYUArxtjXgMQkYXA34By4GOsaukAPwAeF5ESrN8L7wB3AXeLyNVYs7NtwBsD6ZNSA6HVzJVSSoUkvcSnlFIqJGmAUkopFZI0QCmllApJGqCUUkqFJA1QSimlQpIGKKWUUiFJA5RSSqmQ9P8BHqe50TreRfEAAAAASUVORK5CYII=\n", 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\n", 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\n", 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\n", 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- "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "for perf_var in ['runtime_real', 'ExecutionTime', 'ClockTime']:\n", - " df = modules.utils.tabulate_last_perf('Openfoam_Mbike_*', 'num_nodes', perf_var)\n", - " title = 'Openfoam_Mbike: %s' % perf_var\n", - " display(Markdown('### %s' % title))\n", - " ax = df.plot(grid=True, style='o-', title=title)\n", - " ax.set_xlabel('number of nodes')\n", - " ax.set_ylabel(perf_var)\n", - " plt.tight_layout()\n", - " \n", - " scaling = (df.iloc[0] / df)\n", - " scaling_ax = scaling.plot(grid=True, style='o-',\n", - " title='%s - scaling' % title, xlabel='number of nodes', ylabel='performance c.f. 1x node')\n", - " plt.tight_layout()\n", - " \n", - " modules.plots.add_roce_ib_factor(df)\n", - " display(df)\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.7" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/benchmarks/apps/legacy/openfoam/reframe_openfoam.py b/benchmarks/apps/legacy/openfoam/reframe_openfoam.py deleted file mode 100644 index 8b58dc19..00000000 --- a/benchmarks/apps/legacy/openfoam/reframe_openfoam.py +++ /dev/null @@ -1,108 +0,0 @@ -""" Motorbike benchmark using OpenFOAM. - - See README.md for details. - - Note that the provided benchmark run script is not used and instead its functionality has been implemented using ReFrame. - - TODO: Move to use newer scaling_config(). -""" - -import sys -import reframe as rfm -import reframe.utility.sanity as sn - -sys.path.append('.') -from modules.reframe_extras import scaling_config -from modules.utils import parse_time_cmd, identify_build_environment - - -@rfm.parameterized_test(*scaling_config()) -class Openfoam_Mbike(rfm.RegressionTest): - - def __init__(self, part, n_tasks, n_tasks_per_node): - - self.valid_systems = ['-gpu'] - self.valid_prog_environs = ['*'] - self.build_system = 'Spack' - - self.num_tasks_per_node = n_tasks_per_node - self.num_tasks = n_tasks - self.num_nodes = int(n_tasks / n_tasks_per_node) - self.tags = {'num_procs=%i' % self.num_tasks, 'num_nodes=%i' % self.num_nodes} - - self.sourcesdir = 'downloads' - self.exclusive_access = True - self.time_limit = '1h' - - self.prerun_cmds = [ - 'tar --strip-components 2 -xf Motorbike_bench_template.tar.gz bench_template/basecase', - './Allclean', # removes logs, old timehistories etc just in case - - # set domain decomposition: - # using 'scotch' method means simpleCoeffs is ignored so it doesn't need to match num_tasks: - 'sed -i -- "s/method .*/method scotch;/g" system/decomposeParDict', - 'sed -i -- "s/numberOfSubdomains .*/numberOfSubdomains %i;/g" system/decomposeParDict' % self.num_tasks, - - # remove streamlines: - 'sed -i -- \'s/ #include "streamLines"//g\' system/controlDict', - 'sed -i -- \'s/ #include "wallBoundedStreamLines"//g\' system/controlDict', - - # fix location of mesh quality defaults (needed for v6+?) - "sed -i -- 's|caseDicts|caseDicts/mesh/generation|' system/meshQualityDict", - - './Allmesh', # do meshing - - 'time \\', # want to run mpi task under time - ] - # could also check: - #$ ompi_info -c | grep -oE "MPI_THREAD_MULTIPLE[^,]*" - # MPI_THREAD_MULTIPLE: yes - - self.executable = 'simpleFoam' - self.executable_opts = ['-parallel'] - - self.keep_files = ['log.snappyHexMesh', 'log.blockMesh', 'log.decomposePar'] - - result = sn.extractall( - r'time step continuity errors : ' - r'\S+\s\S+ = \S+\sglobal = (?P-?\S+),', - self.stdout, 'res', float) - # NB: `time` outputs to stderr so can't assume that should be empty - self.sanity_patterns = sn.all([ - # ensure meshing finished ok: - sn.assert_found('End', 'log.blockMesh'), - sn.assert_found('End', 'log.decomposePar'), - sn.assert_found('Finished meshing without any errors', 'log.snappyHexMesh'), - - # ensure simpleFoam finished ok: - sn.assert_found('Finalising parallel run', self.stdout), - sn.assert_not_found('FOAM FATAL ERROR', self.stdout), - sn.assert_not_found('FOAM FATAL ERROR', self.stderr), - - # ensure continuity errors small enough - copied from - # https://github.com/eth-cscs/reframe/blob/0a4dc5207b35c737861db346bd483fd4ac202846/cscs-checks/apps/openfoam/check_openfoam_extend.py#L56 - sn.all( - sn.map(lambda x: sn.assert_lt(abs(x), 5.e-04), result) - ), - ]) - - self.perf_patterns = { - # from openfoam output: - 'ExecutionTime': sn.extractall(r'ExecutionTime = ([\d.]+) s ClockTime = ([\d.]+) s', self.stdout, 1, float)[-1], - 'ClockTime': sn.extractall(r'ExecutionTime = ([\d.]+) s ClockTime = ([\d.]+) s', self.stdout, 2, float)[-1], - # from `time`: - 'runtime_real': sn.extractsingle(r'^real\s+(\d+m[\d.]+s)$', self.stderr, 1, parse_time_cmd), - } - self.reference = { - '*': { - 'ExecutionTime': (0, None, None, 's'), - 'ClockTime': (0, None, None, 's'), - 'runtime_real': (0, None, None, 's'), - } - } - - @run_before('compile') - def setup_build_system(self): - self.build_system.environment = identify_build_environment( - self.current_partition) - self.build_system.specs = ['openfoam'] diff --git a/benchmarks/apps/legacy/sysinfo/README.md b/benchmarks/apps/legacy/sysinfo/README.md deleted file mode 100644 index 71b0e62f..00000000 --- a/benchmarks/apps/legacy/sysinfo/README.md +++ /dev/null @@ -1,11 +0,0 @@ -This "application" provides a way to automatically gather and report information about system hardware. - -To use: -1. In the ReFrame configuration `reframe_config.py`, add an environment "sysinfo" for the system/parition(s) of interest (see Alaska example). -1. Run: - - reframe/bin/reframe -C reframe_config.py -c apps/sysinfo/ --run - - This will run an mpi job, producing `output///sysinfo/Sysinfo/sysinfo.json` containing hardware information for every node in the partition. Commit this file. -1. The `apps/sysinfo/sysinfo/sysinfo.ipynb` notebook collates and presents this data: navigate to it in a browser, rerun, save and commit it. - diff --git a/benchmarks/apps/legacy/sysinfo/reframe_sysinfo.py b/benchmarks/apps/legacy/sysinfo/reframe_sysinfo.py deleted file mode 100644 index 85c67447..00000000 --- a/benchmarks/apps/legacy/sysinfo/reframe_sysinfo.py +++ /dev/null @@ -1,61 +0,0 @@ -""" Gather system information from all idle nodes in a (ReFrame) partition. - - reframe/bin/reframe -C reframe_config.py -c apps/sysinfo/ --run -""" - -import reframe as rfm -import reframe.utility.sanity as sn -from reframe.utility.sanity import defer -from pprint import pprint -import sys, os, glob, json -from collections import namedtuple -from reframe.core.logging import getlogger -sys.path.append('.') -from modules.reframe_extras import ScalingTest -from modules.utils import parse_time_cmd -from modules.sysinfo import sysinfo - -@rfm.simple_test -class Sysinfo(rfm.RunOnlyRegressionTest, ScalingTest): - - def __init__(self): - - self.valid_systems = ['-gpu'] - self.valid_prog_environs = ['sysinfo'] - - self.partition_fraction = 1.0 # all nodes - self.node_fraction = -1 # single process per node - - self.sourcesdir = '../../modules/sysinfo' - self.exclusive_access = False - - self.executable = 'python' - self.executable_opts = ['sysinfo.py'] - - self.postrun_cmds = [ - #'cat *.sysinfo.json > all.info.json', # just for debugging - 'echo Done', - ] - - self.keep_files = ['sysinfo.json'] # see self.collate() - - self.sanity_patterns = sn.assert_found('Done', self.stdout) # TODO: assert stderr is empty - - @rfm.run_after('run') - def collate(self): - """ Collate $HOSTNAME.sysinfo.json files into a single file - because `post_run` doesn't support globbing. """ - - # read all files into a single dict: - allhosts = {} # key-> hostname, value->{} - for hostfile in glob.glob(os.path.join(self.stagedir, '*.sysinfo.json')): - with open(hostfile) as infile: - hostinfo = json.load(infile) - hostname = hostinfo['hostname'] - allhosts[hostname] = hostinfo - if len(allhosts) == 0: - raise ValueError('No *.sysinfo.json files found.') - - # write them out: - outpath = os.path.join(self.stagedir, 'sysinfo.json') - with open(outpath, 'w') as outfile: - json.dump(allhosts, outfile, indent=2) diff --git a/benchmarks/apps/legacy/sysinfo/sysinfo.ipynb b/benchmarks/apps/legacy/sysinfo/sysinfo.ipynb deleted file mode 100644 index 9e28fe6b..00000000 --- a/benchmarks/apps/legacy/sysinfo/sysinfo.ipynb +++ /dev/null @@ -1,743 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# System Information\n", - "\n", - "Autogenerated info about each system" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "# Plotting setup\n", - "%matplotlib inline\n", - "import matplotlib.pyplot as plt\n", - "from matplotlib import ticker\n", - "from IPython.display import display, display_markdown\n", - "\n", - "import pandas as pd\n", - "import os, sys\n", - "from pprint import pprint\n", - "sys.path.extend(('../../reframe', '../../')) # the `modules` package imports `reframe` so need that in sys.modules\n", - "import modules\n", - "\n", - "import json, pprint\n", - "from collections import defaultdict\n", - "\n", - "pd.options.display.max_columns = None\n", - "pd.options.display.max_colwidth = None" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found data for csd3:cclake-ib-icc19-impi19-ucx\n", - "Found data for alaska:ib-gcc9-openmpi4-ucx\n" - ] - } - ], - "source": [ - " # load all sysinfo.json files:\n", - "sysinfos = {} # key-> reframe \"system:partition\", value-> nested dict of values\n", - "for path in modules.utils.find_run_outputs(root='../../output', test='Sysinfo', ext='.json'):\n", - " # load metadata:\n", - " meta = modules.utils.parse_path_metadata(path)\n", - " syspart = '%s:%s' % (meta['sysname'], meta['partition']) # throw away environment\n", - " with open(path) as f:\n", - " sysinfos[syspart] = json.load(f)\n", - " print('Found data for', syspart)\n", - "if not sysinfos:\n", - " print('No data')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# System-level Information" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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Number of nodesTotal CPUsTotal memory
csd3:cclake-ib-icc19-impi19-ucx56313610976 G
alaska:ib-gcc9-openmpi4-ucx1610242096 G
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" - ], - "text/plain": [ - " Number of nodes Total CPUs Total memory\n", - "csd3:cclake-ib-icc19-impi19-ucx 56 3136 10976 G\n", - "alaska:ib-gcc9-openmpi4-ucx 16 1024 2096 G" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Derive and tabulate calculated values:\n", - "general_table = []\n", - "general_cols = ['Number of nodes', 'Total CPUs', 'Total memory']\n", - "for syspart, sysinfo in sysinfos.items():\n", - " \n", - " num_nodes = len([hostdata['hostname'] for hostdata in sysinfo.values()])\n", - " \n", - " total_cpus = sum(int(modules.utils.get_nested(hostdata, 'cpu.CPU(s)')) for hostdata in sysinfo.values())\n", - " \n", - " mems = [modules.utils.get_nested(hostdata, 'memory.total') for hostdata in sysinfo.values()]\n", - " mem_units = list(set(modules.utils.split_numeric(m)[1] for m in mems))\n", - " if len(mem_units) > 1:\n", - " raise NotImplementedError('Cannot cope with different units for memory size across cluster: %r' % mems)\n", - " total_mem = '%s %s' % (sum(int(modules.utils.split_numeric(m)[0]) for m in mems), mem_units[0])\n", - " \n", - " general_table.append([num_nodes, total_cpus, total_mem])\n", - " general_df = pd.DataFrame(general_table, index=list(sysinfos.keys()), columns=general_cols, dtype=str)\n", - "display(general_df)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Node Details" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "### Operating system" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
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OSKernel
csd3:cclake-ib-icc19-impi19-ucxCentOS Linux 7 (Core)3.10.0-1127.19.1.el7.x86_64
alaska:ib-gcc9-openmpi4-ucxCentOS Linux 7 (Core)3.10.0-1127.8.2.el7.x86_64
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" - ], - "text/plain": [ - " OS \\\n", - "csd3:cclake-ib-icc19-impi19-ucx CentOS Linux 7 (Core) \n", - "alaska:ib-gcc9-openmpi4-ucx CentOS Linux 7 (Core) \n", - "\n", - " Kernel \n", - "csd3:cclake-ib-icc19-impi19-ucx 3.10.0-1127.19.1.el7.x86_64 \n", - "alaska:ib-gcc9-openmpi4-ucx 3.10.0-1127.8.2.el7.x86_64 " - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/markdown": [ - "### Chassis" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
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modelvendor
csd3:cclake-ib-icc19-impi19-ucxPowerEdge C6420Dell Inc.
alaska:ib-gcc9-openmpi4-ucxPowerEdge R630Dell Inc.
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" - ], - "text/plain": [ - " model vendor\n", - "csd3:cclake-ib-icc19-impi19-ucx PowerEdge C6420 Dell Inc.\n", - "alaska:ib-gcc9-openmpi4-ucx PowerEdge R630 Dell Inc." - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/markdown": [ - "### CPU" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
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architecturemodelcpus /nodesockets /nodecores /socketthreads /core
csd3:cclake-ib-icc19-impi19-ucxx86_64Intel(R) Xeon(R) Platinum 8276 CPU @ 2.20GHz562281
alaska:ib-gcc9-openmpi4-ucxx86_64Intel(R) Xeon(R) CPU E5-2683 v4 @ 2.10GHz642162
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" - ], - "text/plain": [ - " architecture \\\n", - "csd3:cclake-ib-icc19-impi19-ucx x86_64 \n", - "alaska:ib-gcc9-openmpi4-ucx x86_64 \n", - "\n", - " model \\\n", - "csd3:cclake-ib-icc19-impi19-ucx Intel(R) Xeon(R) Platinum 8276 CPU @ 2.20GHz \n", - "alaska:ib-gcc9-openmpi4-ucx Intel(R) Xeon(R) CPU E5-2683 v4 @ 2.10GHz \n", - "\n", - " cpus /node sockets /node cores /socket \\\n", - "csd3:cclake-ib-icc19-impi19-ucx 56 2 28 \n", - "alaska:ib-gcc9-openmpi4-ucx 64 2 16 \n", - "\n", - " threads /core \n", - "csd3:cclake-ib-icc19-impi19-ucx 1 \n", - "alaska:ib-gcc9-openmpi4-ucx 2 " - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/markdown": [ - "### Memory" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
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memory /nodetype
csd3:cclake-ib-icc19-impi19-ucx196GUnbuffered-DDR4
alaska:ib-gcc9-openmpi4-ucx131GRegistered-DDR4
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" - ], - "text/plain": [ - " memory /node type\n", - "csd3:cclake-ib-icc19-impi19-ucx 196G Unbuffered-DDR4\n", - "alaska:ib-gcc9-openmpi4-ucx 131G Registered-DDR4" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Define general tables:\n", - "TABLES = {'Operating system': {'OS':'os.release.PRETTY_NAME', 'Kernel':'os.kernel'},\n", - " 'Chassis': {'model':'chassis.product_name', 'vendor':'chassis.sys_vendor'},\n", - " 'CPU': {'architecture':'cpu.Architecture', 'model':'cpu.Model name',\n", - " 'cpus /node':'cpu.CPU(s)', 'sockets /node':'cpu.Socket(s)', 'cores /socket':'cpu.Core(s) per socket',\n", - " 'threads /core':'cpu.Thread(s) per core',\n", - " },\n", - " 'Memory': {'memory /node':'memory.total', 'type':'memory.types'},\n", - " }\n", - " \n", - "# Group system info across reframe partitions and tabulate:\n", - "for table_title, table_contents in TABLES.items():\n", - " table = {}\n", - " for syspart, sysinfo in sysinfos.items():\n", - " table[syspart] = {}\n", - " for table_label, datakey in table_contents.items():\n", - " for hostname, nodedata in sysinfo.items():\n", - " val = modules.utils.get_nested(nodedata, datakey)\n", - " table[syspart].setdefault(table_label, set()).add(val)\n", - " \n", - " display_markdown('### %s' % table_title, raw=True)\n", - " df = pd.DataFrame(table)\n", - " df = df.applymap(modules.utils.singleval)\n", - " display(df.transpose())" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "### Network adaptors - general information" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
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carddescrlink_layerportratespeed
csd3:cclake-ib-icc19-impi19-ucx: ib0mlx5_05e:00.0 Infiniband controller [0207]: Mellanox Technologies MT28908 Family [ConnectX-6] [15b3:101b]InfiniBand1100 Gb/sec (2X HDR)100000 Mbits/s
csd3:cclake-ib-icc19-impi19-ucx: p4p2mlx5_15e:00.1 Ethernet controller [0200]: Mellanox Technologies MT28908 Family [ConnectX-6] [15b3:101b]Ethernet150 Gb/sec (2X EDR)50000 Mbits/s
alaska:ib-gcc9-openmpi4-ucx: em1NaN01:00.0 Ethernet controller [0200]: Intel Corporation 82599ES 10-Gigabit SFI/SFP+ Network Connection [8086:10fb] (rev 01)NaNNaNNaN10000 Mbits/s
alaska:ib-gcc9-openmpi4-ucx: ib0NaN03:00.0 Infiniband controller [0207]: Mellanox Technologies MT27700 Family [ConnectX-4] [15b3:1013]InfiniBandNaN100 Gb/sec (4X EDR)100000 Mbits/s
alaska:ib-gcc9-openmpi4-ucx: p3p2NaN03:00.1 Ethernet controller [0200]: Mellanox Technologies MT27700 Family [ConnectX-4] [15b3:1013]EthernetNaN25 Gb/sec (1X EDR)25000 Mbits/s
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featurespause_optsring_maxring_curr
csd3:cclake-ib-icc19-impi19-ucx: ib0rx-checksumming=on,tx-checksumming=on,tx-checksum-ipv4=on,tx-checksum-ip-generic=off [fixed],tx-checksum-ipv6=on,tx-checksum-fcoe-crc=off [fixed],tx-checksum-sctp=off [fixed],scatter-gather=on,tx-scatter-gather=on,tx-scatter-gather-fraglist=off [fixed],tcp-segmentation-offload=on,tx-tcp-segmentation=on,tx-tcp-ecn-segmentation=off [fixed],tx-tcp6-segmentation=on,tx-tcp-mangleid-segmentation=off,udp-fragmentation-offload=off [fixed],generic-segmentation-offload=on,generic-receive-offload=on,large-receive-offload=on,rx-vlan-offload=off [fixed],tx-vlan-offload=off [fixed],ntuple-filters=off [fixed],receive-hashing=on,highdma=on [fixed],rx-vlan-filter=off [fixed],vlan-challenged=on [fixed],tx-lockless=off [fixed],netns-local=off [fixed],tx-gso-robust=off [fixed],tx-fcoe-segmentation=off [fixed],tx-gre-segmentation=off [fixed],tx-ipip-segmentation=off [fixed],tx-sit-segmentation=off [fixed],tx-udp_tnl-segmentation=off [fixed],fcoe-mtu=off [fixed],tx-nocache-copy=off,loopback=off [fixed],rx-fcs=off [fixed],rx-all=off [fixed],tx-vlan-stag-hw-insert=off [fixed],rx-vlan-stag-hw-parse=off [fixed],rx-vlan-stag-filter=off [fixed],busy-poll=off [fixed],tx-gre-csum-segmentation=off [fixed],tx-udp_tnl-csum-segmentation=off [fixed],tx-gso-partial=off [fixed],tx-sctp-segmentation=off [fixed],rx-gro-hw=off [fixed],l2-fwd-offload=off [fixed],hw-tc-offload=off [fixed],rx-udp_tunnel-port-offload=off [fixed]RX=8192,RX Mini=0,RX Jumbo=0,TX=8192RX=512,RX Mini=0,RX Jumbo=0,TX=1024
csd3:cclake-ib-icc19-impi19-ucx: p4p2rx-checksumming=on,tx-checksumming=on,tx-checksum-ipv4=off [fixed],tx-checksum-ip-generic=on,tx-checksum-ipv6=off [fixed],tx-checksum-fcoe-crc=off [fixed],tx-checksum-sctp=off [fixed],scatter-gather=on,tx-scatter-gather=on,tx-scatter-gather-fraglist=off [fixed],tcp-segmentation-offload=on,tx-tcp-segmentation=on,tx-tcp-ecn-segmentation=off [fixed],tx-tcp6-segmentation=on,tx-tcp-mangleid-segmentation=off,udp-fragmentation-offload=off [fixed],generic-segmentation-offload=on,generic-receive-offload=on,large-receive-offload=off,rx-vlan-offload=on,tx-vlan-offload=on,ntuple-filters=off,receive-hashing=on,highdma=on [fixed],rx-vlan-filter=on,vlan-challenged=off [fixed],tx-lockless=off [fixed],netns-local=off [fixed],tx-gso-robust=off [fixed],tx-fcoe-segmentation=off [fixed],tx-gre-segmentation=on,tx-ipip-segmentation=off [fixed],tx-sit-segmentation=off [fixed],tx-udp_tnl-segmentation=on,fcoe-mtu=off [fixed],tx-nocache-copy=off,loopback=off [fixed],rx-fcs=off,rx-all=off,tx-vlan-stag-hw-insert=on,rx-vlan-stag-hw-parse=off [fixed],rx-vlan-stag-filter=on [fixed],busy-poll=off [fixed],tx-gre-csum-segmentation=on,tx-udp_tnl-csum-segmentation=on,tx-gso-partial=on,tx-sctp-segmentation=off [fixed],rx-gro-hw=off [fixed],l2-fwd-offload=off [fixed],hw-tc-offload=off,rx-udp_tunnel-port-offload=onAutonegotiate=off,RX=on,TX=onRX=8192,RX Mini=0,RX Jumbo=0,TX=8192RX=1024,RX Mini=0,RX Jumbo=0,TX=1024
alaska:ib-gcc9-openmpi4-ucx: em1rx-checksumming=on,tx-checksumming=on,tx-checksum-ipv4=off [fixed],tx-checksum-ip-generic=on,tx-checksum-ipv6=off [fixed],tx-checksum-fcoe-crc=on [fixed],tx-checksum-sctp=on,scatter-gather=on,tx-scatter-gather=on,tx-scatter-gather-fraglist=off [fixed],tcp-segmentation-offload=on,tx-tcp-segmentation=on,tx-tcp-ecn-segmentation=off [fixed],tx-tcp6-segmentation=on,tx-tcp-mangleid-segmentation=off,udp-fragmentation-offload=off [fixed],generic-segmentation-offload=on,generic-receive-offload=on,large-receive-offload=off,rx-vlan-offload=on,tx-vlan-offload=on,ntuple-filters=off,receive-hashing=on,highdma=on [fixed],rx-vlan-filter=on,vlan-challenged=off [fixed],tx-lockless=off [fixed],netns-local=off [fixed],tx-gso-robust=off [fixed],tx-fcoe-segmentation=on [fixed],tx-gre-segmentation=on,tx-ipip-segmentation=on,tx-sit-segmentation=on,tx-udp_tnl-segmentation=on,fcoe-mtu=off [fixed],tx-nocache-copy=off,loopback=off [fixed],rx-fcs=off [fixed],rx-all=off,tx-vlan-stag-hw-insert=off [fixed],rx-vlan-stag-hw-parse=off [fixed],rx-vlan-stag-filter=off [fixed],busy-poll=off [fixed],tx-gre-csum-segmentation=on,tx-udp_tnl-csum-segmentation=on,tx-gso-partial=on,tx-sctp-segmentation=off [fixed],rx-gro-hw=off [fixed],l2-fwd-offload=off,hw-tc-offload=off,rx-udp_tunnel-port-offload=onAutonegotiate=off,RX=on,TX=onRX=4096,RX Mini=0,RX Jumbo=0,TX=4096RX=512,RX Mini=0,RX Jumbo=0,TX=512
alaska:ib-gcc9-openmpi4-ucx: ib0rx-checksumming=on,tx-checksumming=on,tx-checksum-ipv4=on,tx-checksum-ip-generic=off [fixed],tx-checksum-ipv6=on,tx-checksum-fcoe-crc=off [fixed],tx-checksum-sctp=off [fixed],scatter-gather=on,tx-scatter-gather=on,tx-scatter-gather-fraglist=off [fixed],tcp-segmentation-offload=on,tx-tcp-segmentation=on,tx-tcp-ecn-segmentation=off [fixed],tx-tcp6-segmentation=on,tx-tcp-mangleid-segmentation=off,udp-fragmentation-offload=off [fixed],generic-segmentation-offload=on,generic-receive-offload=on,large-receive-offload=off [fixed],rx-vlan-offload=off [fixed],tx-vlan-offload=off [fixed],ntuple-filters=off [fixed],receive-hashing=on,highdma=on [fixed],rx-vlan-filter=off [fixed],vlan-challenged=on [fixed],tx-lockless=off [fixed],netns-local=off [fixed],tx-gso-robust=off [fixed],tx-fcoe-segmentation=off [fixed],tx-gre-segmentation=off [fixed],tx-ipip-segmentation=off [fixed],tx-sit-segmentation=off [fixed],tx-udp_tnl-segmentation=off [fixed],fcoe-mtu=off [fixed],tx-nocache-copy=off,loopback=off [fixed],rx-fcs=off [fixed],rx-all=off [fixed],tx-vlan-stag-hw-insert=off [fixed],rx-vlan-stag-hw-parse=off [fixed],rx-vlan-stag-filter=off [fixed],busy-poll=off [fixed],tx-gre-csum-segmentation=off [fixed],tx-udp_tnl-csum-segmentation=off [fixed],tx-gso-partial=off [fixed],tx-sctp-segmentation=off [fixed],rx-gro-hw=off [fixed],l2-fwd-offload=off [fixed],hw-tc-offload=off [fixed],rx-udp_tunnel-port-offload=off [fixed]RX=8192,RX Mini=0,RX Jumbo=0,TX=8192RX=512,RX Mini=0,RX Jumbo=0,TX=1024
alaska:ib-gcc9-openmpi4-ucx: p3p2rx-checksumming=on,tx-checksumming=on,tx-checksum-ipv4=on,tx-checksum-ip-generic=off [fixed],tx-checksum-ipv6=on,tx-checksum-fcoe-crc=off [fixed],tx-checksum-sctp=off [fixed],scatter-gather=on,tx-scatter-gather=on,tx-scatter-gather-fraglist=off [fixed],tcp-segmentation-offload=on,tx-tcp-segmentation=on,tx-tcp-ecn-segmentation=off [fixed],tx-tcp6-segmentation=on,tx-tcp-mangleid-segmentation=off,udp-fragmentation-offload=off [fixed],generic-segmentation-offload=on,generic-receive-offload=on,large-receive-offload=off [fixed],rx-vlan-offload=on,tx-vlan-offload=on,ntuple-filters=off,receive-hashing=on,highdma=on [fixed],rx-vlan-filter=on,vlan-challenged=off [fixed],tx-lockless=off [fixed],netns-local=off [fixed],tx-gso-robust=off [fixed],tx-fcoe-segmentation=off [fixed],tx-gre-segmentation=on,tx-ipip-segmentation=off [fixed],tx-sit-segmentation=off [fixed],tx-udp_tnl-segmentation=on,fcoe-mtu=off [fixed],tx-nocache-copy=off,loopback=off [fixed],rx-fcs=off,rx-all=off,tx-vlan-stag-hw-insert=on,rx-vlan-stag-hw-parse=off [fixed],rx-vlan-stag-filter=on [fixed],busy-poll=off [fixed],tx-gre-csum-segmentation=on,tx-udp_tnl-csum-segmentation=on,tx-gso-partial=on,tx-sctp-segmentation=off [fixed],rx-gro-hw=off [fixed],l2-fwd-offload=off [fixed],hw-tc-offload=off,rx-udp_tunnel-port-offload=onAutonegotiate=off,RX=on,TX=onRX=8192,RX Mini=0,RX Jumbo=0,TX=8192RX=1024,RX Mini=0,RX Jumbo=0,TX=1024
\n", - "
" - ], - "text/plain": [ - " features \\\n", - "csd3:cclake-ib-icc19-impi19-ucx: ib0 rx-checksumming=on,tx-checksumming=on,tx-checksum-ipv4=on,tx-checksum-ip-generic=off [fixed],tx-checksum-ipv6=on,tx-checksum-fcoe-crc=off [fixed],tx-checksum-sctp=off [fixed],scatter-gather=on,tx-scatter-gather=on,tx-scatter-gather-fraglist=off [fixed],tcp-segmentation-offload=on,tx-tcp-segmentation=on,tx-tcp-ecn-segmentation=off [fixed],tx-tcp6-segmentation=on,tx-tcp-mangleid-segmentation=off,udp-fragmentation-offload=off [fixed],generic-segmentation-offload=on,generic-receive-offload=on,large-receive-offload=on,rx-vlan-offload=off [fixed],tx-vlan-offload=off [fixed],ntuple-filters=off [fixed],receive-hashing=on,highdma=on [fixed],rx-vlan-filter=off [fixed],vlan-challenged=on [fixed],tx-lockless=off [fixed],netns-local=off [fixed],tx-gso-robust=off [fixed],tx-fcoe-segmentation=off [fixed],tx-gre-segmentation=off [fixed],tx-ipip-segmentation=off [fixed],tx-sit-segmentation=off [fixed],tx-udp_tnl-segmentation=off [fixed],fcoe-mtu=off [fixed],tx-nocache-copy=off,loopback=off [fixed],rx-fcs=off [fixed],rx-all=off [fixed],tx-vlan-stag-hw-insert=off [fixed],rx-vlan-stag-hw-parse=off [fixed],rx-vlan-stag-filter=off [fixed],busy-poll=off [fixed],tx-gre-csum-segmentation=off [fixed],tx-udp_tnl-csum-segmentation=off [fixed],tx-gso-partial=off [fixed],tx-sctp-segmentation=off [fixed],rx-gro-hw=off [fixed],l2-fwd-offload=off [fixed],hw-tc-offload=off [fixed],rx-udp_tunnel-port-offload=off [fixed] \n", - "csd3:cclake-ib-icc19-impi19-ucx: p4p2 rx-checksumming=on,tx-checksumming=on,tx-checksum-ipv4=off [fixed],tx-checksum-ip-generic=on,tx-checksum-ipv6=off [fixed],tx-checksum-fcoe-crc=off [fixed],tx-checksum-sctp=off [fixed],scatter-gather=on,tx-scatter-gather=on,tx-scatter-gather-fraglist=off [fixed],tcp-segmentation-offload=on,tx-tcp-segmentation=on,tx-tcp-ecn-segmentation=off [fixed],tx-tcp6-segmentation=on,tx-tcp-mangleid-segmentation=off,udp-fragmentation-offload=off [fixed],generic-segmentation-offload=on,generic-receive-offload=on,large-receive-offload=off,rx-vlan-offload=on,tx-vlan-offload=on,ntuple-filters=off,receive-hashing=on,highdma=on [fixed],rx-vlan-filter=on,vlan-challenged=off [fixed],tx-lockless=off [fixed],netns-local=off [fixed],tx-gso-robust=off [fixed],tx-fcoe-segmentation=off [fixed],tx-gre-segmentation=on,tx-ipip-segmentation=off [fixed],tx-sit-segmentation=off [fixed],tx-udp_tnl-segmentation=on,fcoe-mtu=off [fixed],tx-nocache-copy=off,loopback=off [fixed],rx-fcs=off,rx-all=off,tx-vlan-stag-hw-insert=on,rx-vlan-stag-hw-parse=off [fixed],rx-vlan-stag-filter=on [fixed],busy-poll=off [fixed],tx-gre-csum-segmentation=on,tx-udp_tnl-csum-segmentation=on,tx-gso-partial=on,tx-sctp-segmentation=off [fixed],rx-gro-hw=off [fixed],l2-fwd-offload=off [fixed],hw-tc-offload=off,rx-udp_tunnel-port-offload=on \n", - "alaska:ib-gcc9-openmpi4-ucx: em1 rx-checksumming=on,tx-checksumming=on,tx-checksum-ipv4=off [fixed],tx-checksum-ip-generic=on,tx-checksum-ipv6=off [fixed],tx-checksum-fcoe-crc=on [fixed],tx-checksum-sctp=on,scatter-gather=on,tx-scatter-gather=on,tx-scatter-gather-fraglist=off [fixed],tcp-segmentation-offload=on,tx-tcp-segmentation=on,tx-tcp-ecn-segmentation=off [fixed],tx-tcp6-segmentation=on,tx-tcp-mangleid-segmentation=off,udp-fragmentation-offload=off [fixed],generic-segmentation-offload=on,generic-receive-offload=on,large-receive-offload=off,rx-vlan-offload=on,tx-vlan-offload=on,ntuple-filters=off,receive-hashing=on,highdma=on [fixed],rx-vlan-filter=on,vlan-challenged=off [fixed],tx-lockless=off [fixed],netns-local=off [fixed],tx-gso-robust=off [fixed],tx-fcoe-segmentation=on [fixed],tx-gre-segmentation=on,tx-ipip-segmentation=on,tx-sit-segmentation=on,tx-udp_tnl-segmentation=on,fcoe-mtu=off [fixed],tx-nocache-copy=off,loopback=off [fixed],rx-fcs=off [fixed],rx-all=off,tx-vlan-stag-hw-insert=off [fixed],rx-vlan-stag-hw-parse=off [fixed],rx-vlan-stag-filter=off [fixed],busy-poll=off [fixed],tx-gre-csum-segmentation=on,tx-udp_tnl-csum-segmentation=on,tx-gso-partial=on,tx-sctp-segmentation=off [fixed],rx-gro-hw=off [fixed],l2-fwd-offload=off,hw-tc-offload=off,rx-udp_tunnel-port-offload=on \n", - "alaska:ib-gcc9-openmpi4-ucx: ib0 rx-checksumming=on,tx-checksumming=on,tx-checksum-ipv4=on,tx-checksum-ip-generic=off [fixed],tx-checksum-ipv6=on,tx-checksum-fcoe-crc=off [fixed],tx-checksum-sctp=off [fixed],scatter-gather=on,tx-scatter-gather=on,tx-scatter-gather-fraglist=off [fixed],tcp-segmentation-offload=on,tx-tcp-segmentation=on,tx-tcp-ecn-segmentation=off [fixed],tx-tcp6-segmentation=on,tx-tcp-mangleid-segmentation=off,udp-fragmentation-offload=off [fixed],generic-segmentation-offload=on,generic-receive-offload=on,large-receive-offload=off [fixed],rx-vlan-offload=off [fixed],tx-vlan-offload=off [fixed],ntuple-filters=off [fixed],receive-hashing=on,highdma=on [fixed],rx-vlan-filter=off [fixed],vlan-challenged=on [fixed],tx-lockless=off [fixed],netns-local=off [fixed],tx-gso-robust=off [fixed],tx-fcoe-segmentation=off [fixed],tx-gre-segmentation=off [fixed],tx-ipip-segmentation=off [fixed],tx-sit-segmentation=off [fixed],tx-udp_tnl-segmentation=off [fixed],fcoe-mtu=off [fixed],tx-nocache-copy=off,loopback=off [fixed],rx-fcs=off [fixed],rx-all=off [fixed],tx-vlan-stag-hw-insert=off [fixed],rx-vlan-stag-hw-parse=off [fixed],rx-vlan-stag-filter=off [fixed],busy-poll=off [fixed],tx-gre-csum-segmentation=off [fixed],tx-udp_tnl-csum-segmentation=off [fixed],tx-gso-partial=off [fixed],tx-sctp-segmentation=off [fixed],rx-gro-hw=off [fixed],l2-fwd-offload=off [fixed],hw-tc-offload=off [fixed],rx-udp_tunnel-port-offload=off [fixed] \n", - "alaska:ib-gcc9-openmpi4-ucx: p3p2 rx-checksumming=on,tx-checksumming=on,tx-checksum-ipv4=on,tx-checksum-ip-generic=off [fixed],tx-checksum-ipv6=on,tx-checksum-fcoe-crc=off [fixed],tx-checksum-sctp=off [fixed],scatter-gather=on,tx-scatter-gather=on,tx-scatter-gather-fraglist=off [fixed],tcp-segmentation-offload=on,tx-tcp-segmentation=on,tx-tcp-ecn-segmentation=off [fixed],tx-tcp6-segmentation=on,tx-tcp-mangleid-segmentation=off,udp-fragmentation-offload=off [fixed],generic-segmentation-offload=on,generic-receive-offload=on,large-receive-offload=off [fixed],rx-vlan-offload=on,tx-vlan-offload=on,ntuple-filters=off,receive-hashing=on,highdma=on [fixed],rx-vlan-filter=on,vlan-challenged=off [fixed],tx-lockless=off [fixed],netns-local=off [fixed],tx-gso-robust=off [fixed],tx-fcoe-segmentation=off [fixed],tx-gre-segmentation=on,tx-ipip-segmentation=off [fixed],tx-sit-segmentation=off [fixed],tx-udp_tnl-segmentation=on,fcoe-mtu=off [fixed],tx-nocache-copy=off,loopback=off [fixed],rx-fcs=off,rx-all=off,tx-vlan-stag-hw-insert=on,rx-vlan-stag-hw-parse=off [fixed],rx-vlan-stag-filter=on [fixed],busy-poll=off [fixed],tx-gre-csum-segmentation=on,tx-udp_tnl-csum-segmentation=on,tx-gso-partial=on,tx-sctp-segmentation=off [fixed],rx-gro-hw=off [fixed],l2-fwd-offload=off [fixed],hw-tc-offload=off,rx-udp_tunnel-port-offload=on \n", - "\n", - " pause_opts \\\n", - "csd3:cclake-ib-icc19-impi19-ucx: ib0 \n", - "csd3:cclake-ib-icc19-impi19-ucx: p4p2 Autonegotiate=off,RX=on,TX=on \n", - "alaska:ib-gcc9-openmpi4-ucx: em1 Autonegotiate=off,RX=on,TX=on \n", - "alaska:ib-gcc9-openmpi4-ucx: ib0 \n", - "alaska:ib-gcc9-openmpi4-ucx: p3p2 Autonegotiate=off,RX=on,TX=on \n", - "\n", - " ring_max \\\n", - "csd3:cclake-ib-icc19-impi19-ucx: ib0 RX=8192,RX Mini=0,RX Jumbo=0,TX=8192 \n", - "csd3:cclake-ib-icc19-impi19-ucx: p4p2 RX=8192,RX Mini=0,RX Jumbo=0,TX=8192 \n", - "alaska:ib-gcc9-openmpi4-ucx: em1 RX=4096,RX Mini=0,RX Jumbo=0,TX=4096 \n", - "alaska:ib-gcc9-openmpi4-ucx: ib0 RX=8192,RX Mini=0,RX Jumbo=0,TX=8192 \n", - "alaska:ib-gcc9-openmpi4-ucx: p3p2 RX=8192,RX Mini=0,RX Jumbo=0,TX=8192 \n", - "\n", - " ring_curr \n", - "csd3:cclake-ib-icc19-impi19-ucx: ib0 RX=512,RX Mini=0,RX Jumbo=0,TX=1024 \n", - "csd3:cclake-ib-icc19-impi19-ucx: p4p2 RX=1024,RX Mini=0,RX Jumbo=0,TX=1024 \n", - "alaska:ib-gcc9-openmpi4-ucx: em1 RX=512,RX Mini=0,RX Jumbo=0,TX=512 \n", - "alaska:ib-gcc9-openmpi4-ucx: ib0 RX=512,RX Mini=0,RX Jumbo=0,TX=1024 \n", - "alaska:ib-gcc9-openmpi4-ucx: p3p2 RX=1024,RX Mini=0,RX Jumbo=0,TX=1024 " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "IFACE_DETAILED_PARAMS = ['features', 'pause_opts', 'ring_max', 'ring_curr']\n", - "\n", - "# Gather network data: this is a bit different in that sysinfo['net'] -> {iface1:{parameters..}, iface2:{parameters...}, ...} \n", - "netvals = defaultdict(dict)\n", - "for syspart, sysinfo in sysinfos.items():\n", - " for hostname, nodedata in sysinfo.items():\n", - " for iface in nodedata['net']:\n", - " for k, v in nodedata['net'][iface].items():\n", - " pw = '%s: %s' % (syspart, iface)\n", - " if isinstance(v, list):\n", - " v = ','.join(v)\n", - " netvals[pw].setdefault(k, set()).add(v)\n", - " \n", - "df = pd.DataFrame(netvals)\n", - "df = df.applymap(modules.utils.singleval)\n", - "df = df.transpose()\n", - "\n", - "display_markdown('### Network adaptors - general information', raw=True)\n", - "general_df = df[df.columns.difference(IFACE_DETAILED_PARAMS)]\n", - "display(general_df)\n", - "\n", - "display_markdown('### Network adaptors - detailed parameters', raw=True)\n", - "details_df = df[IFACE_DETAILED_PARAMS]\n", - "display(details_df)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.7" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} From a26221254043e535afbdf1cba4cda1f7cae617af Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Mos=C3=A8=20Giordano?= Date: Thu, 2 May 2024 16:00:46 +0100 Subject: [PATCH 3/5] [Spack] Remove old `dpcpp` compiler from all environments --- benchmarks/spack/cosma7/compilers.yaml | 52 ------------------- .../spack/cosma8/compute-node/spack.yaml | 26 ---------- .../spack/csd3-centos7/cascadelake/spack.yaml | 13 ----- benchmarks/spack/csd3-rocky8/compilers.yaml | 13 ----- .../spack/dial3/compute-node/spack.yaml | 13 ----- .../spack/isambard-phase3/compilers.yaml | 13 ----- 6 files changed, 130 deletions(-) diff --git a/benchmarks/spack/cosma7/compilers.yaml b/benchmarks/spack/cosma7/compilers.yaml index 84458d06..d890700b 100644 --- a/benchmarks/spack/cosma7/compilers.yaml +++ b/benchmarks/spack/cosma7/compilers.yaml @@ -388,58 +388,6 @@ compilers: modules: [] environment: {} extra_rpaths: [] -- compiler: - spec: dpcpp@2021.1 - paths: - cc: /cosma/local/intel/oneAPI_2021.1.0/compiler/2021.1.1/linux/bin/icx - cxx: /cosma/local/intel/oneAPI_2021.1.0/compiler/2021.1.1/linux/bin/dpcpp - f77: /cosma/local/intel/oneAPI_2021.1.0/compiler/2021.1.1/linux/bin/ifx - fc: /cosma/local/intel/oneAPI_2021.1.0/compiler/2021.1.1/linux/bin/ifx - flags: {} - operating_system: centos7 - target: x86_64 - modules: [] - environment: {} - extra_rpaths: [] -- compiler: - spec: dpcpp@2021.1-beta08 - paths: - cc: null - cxx: /cosma/local/intel/oneAPI_2021.1.8/compiler/latest/linux/bin/dpcpp - f77: null - fc: null - flags: {} - operating_system: centos7 - target: x86_64 - modules: [] - environment: {} - extra_rpaths: [] -- compiler: - spec: dpcpp@2021.3.0 - paths: - cc: /cosma/local/intel/oneAPI_2021.3.0/compiler/2021.3.0/linux/bin/icx - cxx: /cosma/local/intel/oneAPI_2021.3.0/compiler/2021.3.0/linux/bin/dpcpp - f77: /cosma/local/intel/oneAPI_2021.3.0/compiler/2021.3.0/linux/bin/ifx - fc: /cosma/local/intel/oneAPI_2021.3.0/compiler/2021.3.0/linux/bin/ifx - flags: {} - operating_system: centos7 - target: x86_64 - modules: [] - environment: {} - extra_rpaths: [] -- compiler: - spec: dpcpp@2022.0.0 - paths: - cc: /cosma/local/intel/oneAPI_2022.1.2/compiler/2022.0.2/linux/bin/icx - cxx: /cosma/local/intel/oneAPI_2022.1.2/compiler/2022.0.2/linux/bin/dpcpp - f77: /cosma/local/intel/oneAPI_2022.1.2/compiler/2022.0.2/linux/bin/ifx - fc: /cosma/local/intel/oneAPI_2022.1.2/compiler/2022.0.2/linux/bin/ifx - flags: {} - operating_system: centos7 - target: x86_64 - modules: [] - environment: {} - extra_rpaths: [] - compiler: spec: oneapi@2021.1 paths: diff --git a/benchmarks/spack/cosma8/compute-node/spack.yaml b/benchmarks/spack/cosma8/compute-node/spack.yaml index 72a24356..129462ae 100644 --- a/benchmarks/spack/cosma8/compute-node/spack.yaml +++ b/benchmarks/spack/cosma8/compute-node/spack.yaml @@ -408,32 +408,6 @@ spack: extra_rpaths: - /cosma/local/intel/oneAPI_2021.3.0/compiler/2021.3.0/linux/compiler/lib/intel64_lin - /cosma/local/intel/oneAPI_2021.3.0/compiler/2021.3.0/linux/lib - - compiler: - spec: dpcpp@2021.3.0 - paths: - cc: /cosma/local/intel/oneAPI_2021.3.0/compiler/2021.3.0/linux/bin/icx - cxx: /cosma/local/intel/oneAPI_2021.3.0/compiler/2021.3.0/linux/bin/dpcpp - f77: /cosma/local/intel/oneAPI_2021.3.0/compiler/2021.3.0/linux/bin/ifx - fc: /cosma/local/intel/oneAPI_2021.3.0/compiler/2021.3.0/linux/bin/ifx - flags: {} - operating_system: centos7 - target: x86_64 - modules: [] - environment: {} - extra_rpaths: [] - - compiler: - spec: dpcpp@2022.2.1 - paths: - cc: /cosma/local/intel/oneAPI_2022.3.0/compiler/2022.2.1/linux/bin/icx - cxx: /cosma/local/intel/oneAPI_2022.3.0/compiler/2022.2.1/linux/bin/dpcpp - f77: /cosma/local/intel/oneAPI_2022.3.0/compiler/2022.2.1/linux/bin/ifx - fc: /cosma/local/intel/oneAPI_2022.3.0/compiler/2022.2.1/linux/bin/ifx - flags: {} - operating_system: centos7 - target: x86_64 - modules: [] - environment: {} - extra_rpaths: [] packages: autoconf: externals: diff --git a/benchmarks/spack/csd3-centos7/cascadelake/spack.yaml b/benchmarks/spack/csd3-centos7/cascadelake/spack.yaml index e0d22f40..76b564b7 100644 --- a/benchmarks/spack/csd3-centos7/cascadelake/spack.yaml +++ b/benchmarks/spack/csd3-centos7/cascadelake/spack.yaml @@ -157,19 +157,6 @@ spack: environment: {} extra_rpaths: - /usr/local/Cluster-Apps/intel/2020.4/compilers_and_libraries_2020.4.304/linux/lib - - compiler: - spec: dpcpp@=2022.0.0 - paths: - cc: /usr/local/software/intel/oneapi/2022.1/compiler/2022.0.2/linux/bin/icx - cxx: /usr/local/software/intel/oneapi/2022.1/compiler/2022.0.2/linux/bin/dpcpp - f77: /usr/local/software/intel/oneapi/2022.1/compiler/2022.0.2/linux/bin/ifx - fc: /usr/local/software/intel/oneapi/2022.1/compiler/2022.0.2/linux/bin/ifx - flags: {} - operating_system: centos7 - target: x86_64 - modules: [] - environment: {} - extra_rpaths: [] - compiler: spec: intel@=2021.5.0 paths: diff --git a/benchmarks/spack/csd3-rocky8/compilers.yaml b/benchmarks/spack/csd3-rocky8/compilers.yaml index 61890d33..a4b44372 100644 --- a/benchmarks/spack/csd3-rocky8/compilers.yaml +++ b/benchmarks/spack/csd3-rocky8/compilers.yaml @@ -38,19 +38,6 @@ compilers: modules: [] environment: {} extra_rpaths: [] -- compiler: - spec: dpcpp@=2022.1.0 - paths: - cc: /usr/local/software/spack/spack-views/rocky8-icelake-20220710/intel-oneapi-compilers-2022.1.0/gcc-11.3.0/b6zld2mz7cid27yloxznoidymd7vywwz/compiler/2022.1.0/linux/bin/icx - cxx: /usr/local/software/spack/spack-views/rocky8-icelake-20220710/intel-oneapi-compilers-2022.1.0/gcc-11.3.0/b6zld2mz7cid27yloxznoidymd7vywwz/compiler/2022.1.0/linux/bin/dpcpp - f77: /usr/local/software/spack/spack-views/rocky8-icelake-20220710/intel-oneapi-compilers-2022.1.0/gcc-11.3.0/b6zld2mz7cid27yloxznoidymd7vywwz/compiler/2022.1.0/linux/bin/ifx - fc: /usr/local/software/spack/spack-views/rocky8-icelake-20220710/intel-oneapi-compilers-2022.1.0/gcc-11.3.0/b6zld2mz7cid27yloxznoidymd7vywwz/compiler/2022.1.0/linux/bin/ifx - flags: {} - operating_system: rocky8 - target: x86_64 - modules: [] - environment: {} - extra_rpaths: [] - compiler: spec: intel@=2021.6.0 paths: diff --git a/benchmarks/spack/dial3/compute-node/spack.yaml b/benchmarks/spack/dial3/compute-node/spack.yaml index eac43de9..69630d10 100644 --- a/benchmarks/spack/dial3/compute-node/spack.yaml +++ b/benchmarks/spack/dial3/compute-node/spack.yaml @@ -48,19 +48,6 @@ spack: modules: [ intel-parallel-studio/cluster.2019.5/aveeft ] environment: {} extra_rpaths: [] - - compiler: - spec: dpcpp@2021.2.0 - paths: - cc: /cm/shared/spack/opt/spack/linux-centos8-zen/gcc-8.3.1/intel-oneapi-compilers-2021.2.0-3q6eevirvd6g4brzipx22aef3imfqouj/compiler/2021.2.0/linux/bin/icx - cxx: /cm/shared/spack/opt/spack/linux-centos8-zen/gcc-8.3.1/intel-oneapi-compilers-2021.2.0-3q6eevirvd6g4brzipx22aef3imfqouj/compiler/2021.2.0/linux/bin/dpcpp - f77: /cm/shared/spack/opt/spack/linux-centos8-zen/gcc-8.3.1/intel-oneapi-compilers-2021.2.0-3q6eevirvd6g4brzipx22aef3imfqouj/compiler/2021.2.0/linux/bin/ifx - fc: /cm/shared/spack/opt/spack/linux-centos8-zen/gcc-8.3.1/intel-oneapi-compilers-2021.2.0-3q6eevirvd6g4brzipx22aef3imfqouj/compiler/2021.2.0/linux/bin/ifx - flags: {} - operating_system: rocky8 - target: x86_64 - modules: [ intel-oneapi-compilers/2021.2.0/3q6eev ] - environment: {} - extra_rpaths: [] - compiler: spec: intel@2021.2.0 paths: diff --git a/benchmarks/spack/isambard-phase3/compilers.yaml b/benchmarks/spack/isambard-phase3/compilers.yaml index 93cdf080..abfb9f1a 100644 --- a/benchmarks/spack/isambard-phase3/compilers.yaml +++ b/benchmarks/spack/isambard-phase3/compilers.yaml @@ -66,19 +66,6 @@ compilers: - gcc/11.2.0 environment: {} extra_rpaths: [] -- compiler: - spec: dpcpp@2021.4.0 - paths: - cc: /lustre/software/x86/tools/oneapi-2021.4.0/compiler/2021.4.0/linux/bin/icx - cxx: /lustre/software/x86/tools/oneapi-2021.4.0/compiler/2021.4.0/linux/bin/dpcpp - f77: /lustre/software/x86/tools/oneapi-2021.4.0/compiler/2021.4.0/linux/bin/ifx - fc: /lustre/software/x86/tools/oneapi-2021.4.0/compiler/2021.4.0/linux/bin/ifx - flags: {} - operating_system: rhel8 - target: x86_64 - modules: [] - environment: {} - extra_rpaths: [] - compiler: spec: intel@2021.4.0 paths: From 7cca44e08b7e9831a5e80b6f4c4683d9de04fe8f Mon Sep 17 00:00:00 2001 From: Tuomas Koskela Date: Wed, 8 May 2024 10:33:09 +0100 Subject: [PATCH 4/5] Update README.md --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 809fdb0f..39212b65 100644 --- a/README.md +++ b/README.md @@ -1,3 +1,5 @@ +[![DOI](https://zenodo.org/badge/381099159.svg)](https://zenodo.org/doi/10.5281/zenodo.11144871) + # ExCALIBUR tests Performance benchmarks and regression tests for the ExCALIBUR project. From 7bbe54a74e7efe073809d58131de3484f282907e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Mos=C3=A8=20Giordano?= Date: Wed, 8 May 2024 14:08:19 +0200 Subject: [PATCH 5/5] [CI] Cleanup previews only if they actually exist (#323) --- .github/workflows/docs_cleanup.yml | 13 ++++++++----- 1 file changed, 8 insertions(+), 5 deletions(-) diff --git a/.github/workflows/docs_cleanup.yml b/.github/workflows/docs_cleanup.yml index f00153c7..7527432c 100644 --- a/.github/workflows/docs_cleanup.yml +++ b/.github/workflows/docs_cleanup.yml @@ -20,8 +20,11 @@ jobs: ref: gh-pages - name: Delete preview and push changes run: | - git config user.name "${{github.actor}}" - git config user.email "${{github.actor_id}}+${{github.actor}}@users.noreply.github.com" - git rm -rf preview/PR${{ github.event.number }} - git commit -m 'Cleanup docs for PR #${{ github.event.number }}' - git push origin gh-pages + preview_directory=preview/PR${{ github.event.number }} + if [[ -d "${preview_directory}" ]]; then + git config user.name "${{github.actor}}" + git config user.email "${{github.actor_id}}+${{github.actor}}@users.noreply.github.com" + git rm -rf "${preview_directory}" + git commit -m 'Cleanup docs for PR #${{ github.event.number }}' + git push origin gh-pages + fi