Reframe Report for meluxina

1. Test Summary

  • Total Tests: 8

  • Failures: 0

  • Testcases

    • Feelpp %my_regression_parameter={'nodes': 128, 'tasks_per_node': 128} %inputs=[]

{'APPTAINERENV_OMPI_MCA_io': 'romio321'}

  • Feelpp %my_regression_parameter={'nodes': 64, 'tasks_per_node': 128} %inputs=[]

{'APPTAINERENV_OMPI_MCA_io': 'romio321'}

  • Feelpp %my_regression_parameter={'nodes': 32, 'tasks_per_node': 128} %inputs=[]

{'APPTAINERENV_OMPI_MCA_io': 'romio321'}

  • Feelpp %my_regression_parameter={'nodes': 16, 'tasks_per_node': 128} %inputs=[]

{'APPTAINERENV_OMPI_MCA_io': 'romio321'}

  • Feelpp %my_regression_parameter={'nodes': 8, 'tasks_per_node': 128} %inputs=[]

{'APPTAINERENV_OMPI_MCA_io': 'romio321'}

  • Feelpp %my_regression_parameter={'nodes': 4, 'tasks_per_node': 128} %inputs=[]

{'APPTAINERENV_OMPI_MCA_io': 'romio321'}

  • Feelpp %my_regression_parameter={'nodes': 2, 'tasks_per_node': 128} %inputs=[]

{'APPTAINERENV_OMPI_MCA_io': 'romio321'}

  • Feelpp %my_regression_parameter={'nodes': 1, 'tasks_per_node': 128} %inputs=[]

{'APPTAINERENV_OMPI_MCA_io': 'romio321'}
from feelpp.benchmarking.reframe.report import Report
report=Report(file_path="docs/modules/meluxina/pages/20231209/kub_scenario0.json")
Results 
2.0.3
Main performance variables:
 |    |   num_tasks | name                     |    value |
|---:|------------:|:-------------------------|---------:|
| 22 |         128 | cem_updateForUse         |  1.13565 |
| 23 |         128 | cem_instance_execute     | 85.1837  |
| 24 |         128 | cem_instance_simulation  | 55.5623  |
| 25 |         128 | cem_instance_postprocess | 29.5807  |

1.1. Performance by Simulation Steps

fig=report.plotPerformanceByStep()
fig.show()
Results

1.2. Performance by Number of Tasks

fig=report.plotPerformanceByTask()
fig.show()
Results

1.3. Speedup of the simulation Steps

Speedup
print(report.speedup())
fig=report.plotSpeedup()
fig.show()
Results