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| {"cells":[{"cell_type":"markdown","source":["# Report\n\n","\n","- [2023-12-09 00:40:00](output_20231209-0040.ipynb)\n"],"metadata":{"node_name":"ulist"}},{"cell_type":"markdown","source":["- [2023-12-09 06:00:00](output_20231211-0600.ipynb)\n","\n"],"metadata":{"node_name":"ulist"}}],"metadata":{"language_info":{"name":"python","version":"3.9.1"},"kernelspec":{"name":"python3","language":"python"}},"nbformat":4,"nbformat_minor":4} |
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| {"cells":[{"cell_type":"markdown","source":["# Reframe Report for meluxina\n\n","## Test Summary\n\n","\n","- Total Tests: 6\n"],"metadata":{"node_name":"ulist"}},{"cell_type":"markdown","source":["- Failures: 0\n"],"metadata":{"node_name":"ulist"}},{"cell_type":"markdown","source":["- Testcases\n"],"metadata":{"node_name":"ulist"}},{"cell_type":"markdown","source":["\n","- Feelpp %my_regression_parameter={'nodes': 32, 'tasks_per_node': 128} %inputs=[]\n"],"metadata":{"node_name":"ulist"}},{"cell_type":"markdown","source":["- Feelpp %my_regression_parameter={'nodes': 16, 'tasks_per_node': 128} %inputs=[]\n"],"metadata":{"node_name":"ulist"}},{"cell_type":"markdown","source":["- Feelpp %my_regression_parameter={'nodes': 8, 'tasks_per_node': 128} %inputs=[]\n"],"metadata":{"node_name":"ulist"}},{"cell_type":"markdown","source":["- Feelpp %my_regression_parameter={'nodes': 4, 'tasks_per_node': 128} %inputs=[]\n"],"metadata":{"node_name":"ulist"}},{"cell_type":"markdown","source":["- Feelpp %my_regression_parameter={'nodes': 2, 'tasks_per_node': 128} %inputs=[]\n"],"metadata":{"node_name":"ulist"}},{"cell_type":"markdown","source":["- Feelpp %my_regression_parameter={'nodes': 1, 'tasks_per_node': 128} %inputs=[]\n","\n","\n"],"metadata":{"node_name":"ulist"}},{"cell_type":"code","execution_count":0,"metadata":{"slideshow":{"slide_type":"fragment"}},"outputs":[],"source":["from feelpp.benchmarking.reframe.report import Report\n","report=Report(file_path=\"docs/modules/meluxina/pages/kub/scenario0/20231209-0040.json\")\n"]},{"cell_type":"markdown","source":["## Performance by Simulation Steps\n\n"],"metadata":{}},{"cell_type":"code","execution_count":0,"metadata":{"slideshow":{"slide_type":"fragment"}},"outputs":[],"source":["fig=report.plotPerformanceByStep()\n","fig.show()\n"]},{"cell_type":"markdown","source":["## Performance by Number of Tasks\n\n"],"metadata":{}},{"cell_type":"code","execution_count":0,"metadata":{"slideshow":{"slide_type":"fragment"}},"outputs":[],"source":["fig=report.plotPerformanceByTask()\n","fig.show()\n"]},{"cell_type":"markdown","source":["## Speedup of the simulation Steps\n\n"],"metadata":{}},{"cell_type":"code","execution_count":0,"metadata":{"slideshow":{"slide_type":"fragment"}},"outputs":[],"source":["print(report.speedup())\n","fig=report.plotSpeedup()\n","fig.show()\n"]}],"metadata":{"language_info":{"name":"python","version":"3.9.1"},"kernelspec":{"name":"python3","language":"python"}},"nbformat":4,"nbformat_minor":4} |
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|---|---|---|
| @@ -0,0 +1 @@ | ||
| {"cells":[{"cell_type":"markdown","source":["# Reframe Report for meluxina\n\n","## Test Summary\n\n","\n","- Total Tests: 6\n"],"metadata":{"node_name":"ulist"}},{"cell_type":"markdown","source":["- Failures: 0\n"],"metadata":{"node_name":"ulist"}},{"cell_type":"markdown","source":["- Testcases\n"],"metadata":{"node_name":"ulist"}},{"cell_type":"markdown","source":["\n","- Feelpp %my_regression_parameter={'nodes': 32, 'tasks_per_node': 128} %inputs=[]\n"],"metadata":{"node_name":"ulist"}},{"cell_type":"markdown","source":["- Feelpp %my_regression_parameter={'nodes': 16, 'tasks_per_node': 128} %inputs=[]\n"],"metadata":{"node_name":"ulist"}},{"cell_type":"markdown","source":["- Feelpp %my_regression_parameter={'nodes': 8, 'tasks_per_node': 128} %inputs=[]\n"],"metadata":{"node_name":"ulist"}},{"cell_type":"markdown","source":["- Feelpp %my_regression_parameter={'nodes': 4, 'tasks_per_node': 128} %inputs=[]\n"],"metadata":{"node_name":"ulist"}},{"cell_type":"markdown","source":["- Feelpp %my_regression_parameter={'nodes': 2, 'tasks_per_node': 128} %inputs=[]\n"],"metadata":{"node_name":"ulist"}},{"cell_type":"markdown","source":["- Feelpp %my_regression_parameter={'nodes': 1, 'tasks_per_node': 128} %inputs=[]\n","\n","\n"],"metadata":{"node_name":"ulist"}},{"cell_type":"code","execution_count":0,"metadata":{"slideshow":{"slide_type":"fragment"}},"outputs":[],"source":["from feelpp.benchmarking.reframe.report import Report\n","report=Report(file_path=\"docs/modules/meluxina/pages/kub/scenario0/20231211-0600.json\")\n"]},{"cell_type":"markdown","source":["## Performance by Simulation Steps\n\n"],"metadata":{}},{"cell_type":"code","execution_count":0,"metadata":{"slideshow":{"slide_type":"fragment"}},"outputs":[],"source":["fig=report.plotPerformanceByStep()\n","fig.show()\n"]},{"cell_type":"markdown","source":["## Performance by Number of Tasks\n\n"],"metadata":{}},{"cell_type":"code","execution_count":0,"metadata":{"slideshow":{"slide_type":"fragment"}},"outputs":[],"source":["fig=report.plotPerformanceByTask()\n","fig.show()\n"]},{"cell_type":"markdown","source":["## Speedup of the simulation Steps\n\n"],"metadata":{}},{"cell_type":"code","execution_count":0,"metadata":{"slideshow":{"slide_type":"fragment"}},"outputs":[],"source":["print(report.speedup())\n","fig=report.plotSpeedup()\n","fig.show()\n"]}],"metadata":{"language_info":{"name":"python","version":"3.9.1"},"kernelspec":{"name":"python3","language":"python"}},"nbformat":4,"nbformat_minor":4} |
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