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add discoverer and karolina + images of the systems
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prudhomm committed Dec 11, 2023
1 parent a9c337b commit 277b6ab
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2 changes: 2 additions & 0 deletions docs/antora.yml
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nav:
#- modules/ROOT/nav.adoc
- modules/meluxina/nav.adoc
- modules/karolina/nav.adoc
- modules/discoverer/nav.adoc

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2 changes: 2 additions & 0 deletions docs/modules/discoverer/nav.adoc
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* xref:index.adoc[Discoverer Reports]
2 changes: 2 additions & 0 deletions docs/modules/discoverer/pages/index.adoc
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= Report
:page-layout: case-study
696 changes: 696 additions & 0 deletions docs/modules/discoverer/pages/kub/scenario0/20231201-1430.json

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54 changes: 54 additions & 0 deletions docs/modules/discoverer/pages/output_20231201-1430.adoc
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= Reframe Report for discoverer
:page-plotly: true
:page-jupyter: true
:page-tags: case
:description: Performance report for discoverer on 2023-12-01T15:03:57+0200
:page-illustration: discoverer.jpg
:author: Your Name
:revdate: 2023-12-01T15:03:57+0200

== Test Summary

* Total Tests: 6
* Failures: 0
* Testcases
** Feelpp %my_regression_parameter={'nodes': 32, 'tasks_per_node': 128} %inputs=[]
** Feelpp %my_regression_parameter={'nodes': 16, 'tasks_per_node': 128} %inputs=[]
** Feelpp %my_regression_parameter={'nodes': 8, 'tasks_per_node': 128} %inputs=[]
** Feelpp %my_regression_parameter={'nodes': 4, 'tasks_per_node': 128} %inputs=[]
** Feelpp %my_regression_parameter={'nodes': 2, 'tasks_per_node': 128} %inputs=[]
** Feelpp %my_regression_parameter={'nodes': 1, 'tasks_per_node': 128} %inputs=[]


[%dynamic%close,python]
----
from feelpp.benchmarking.reframe.report import Report
report=Report(file_path="docs/modules/discoverer/pages/kub/scenario0/20231201-1430.json")
----

=== Performance by Simulation Steps

[%dynamic%raw%open,python]
----
fig=report.plotPerformanceByStep()
fig.show()
----

=== Performance by Number of Tasks

[%dynamic%raw%open,python]
----
fig=report.plotPerformanceByTask()
fig.show()
----

=== Speedup of the simulation Steps

.Speedup
[%dynamic%raw%open,python]
----
print(report.speedup())
fig=report.plotSpeedup()
fig.show()
----
Binary file added docs/modules/karolina/images/karolina.jpg
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2 changes: 2 additions & 0 deletions docs/modules/karolina/nav.adoc
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* xref:index.adoc[Karolina Reports]
2 changes: 2 additions & 0 deletions docs/modules/karolina/pages/index.adoc
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= Report
:page-layout: case-study
696 changes: 696 additions & 0 deletions docs/modules/karolina/pages/kub/scenario0/20231207-1600.json

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54 changes: 54 additions & 0 deletions docs/modules/karolina/pages/output_20231207-1600.adoc
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= Reframe Report for karolina
:page-plotly: true
:page-jupyter: true
:page-tags: case
:description: Performance report for karolina on 2023-12-07T16:59:54+0100
:page-illustration: karolina.jpg
:author: Your Name
:revdate: 2023-12-07T16:59:54+0100

== Test Summary

* Total Tests: 6
* Failures: 0
* Testcases
** Feelpp %my_regression_parameter={'nodes': 32, 'tasks_per_node': 128} %inputs=[]
** Feelpp %my_regression_parameter={'nodes': 16, 'tasks_per_node': 128} %inputs=[]
** Feelpp %my_regression_parameter={'nodes': 8, 'tasks_per_node': 128} %inputs=[]
** Feelpp %my_regression_parameter={'nodes': 4, 'tasks_per_node': 128} %inputs=[]
** Feelpp %my_regression_parameter={'nodes': 2, 'tasks_per_node': 128} %inputs=[]
** Feelpp %my_regression_parameter={'nodes': 1, 'tasks_per_node': 128} %inputs=[]


[%dynamic%close,python]
----
from feelpp.benchmarking.reframe.report import Report
report=Report(file_path="docs/modules/karolina/pages/kub/scenario0/20231207-1600.json")
----

=== Performance by Simulation Steps

[%dynamic%raw%open,python]
----
fig=report.plotPerformanceByStep()
fig.show()
----

=== Performance by Number of Tasks

[%dynamic%raw%open,python]
----
fig=report.plotPerformanceByTask()
fig.show()
----

=== Speedup of the simulation Steps

.Speedup
[%dynamic%raw%open,python]
----
print(report.speedup())
fig=report.plotSpeedup()
fig.show()
----
Binary file added docs/modules/meluxina/images/meluxina.jpg
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2 changes: 1 addition & 1 deletion docs/modules/meluxina/nav.adoc
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* xref:index.adoc[Reports]
* xref:index.adoc[Meluxina Reports]
58 changes: 58 additions & 0 deletions docs/modules/meluxina/pages/20231209/output.adoc
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= Reframe Report for meluxina
:page-plotly: true
:page-jupyter: true
:author: Your Name
:revdate: 2023-12-09T00:40:37+0100

== Test Summary

* Total Tests: 8
* Failures: 0
* Testcases
** Feelpp %my_regression_parameter={'nodes': 128, 'tasks_per_node': 128} %inputs=[]
** Feelpp %my_regression_parameter={'nodes': 64, 'tasks_per_node': 128} %inputs=[]
** Feelpp %my_regression_parameter={'nodes': 32, 'tasks_per_node': 128} %inputs=[]
** Feelpp %my_regression_parameter={'nodes': 16, 'tasks_per_node': 128} %inputs=[]
** Feelpp %my_regression_parameter={'nodes': 8, 'tasks_per_node': 128} %inputs=[]
** Feelpp %my_regression_parameter={'nodes': 4, 'tasks_per_node': 128} %inputs=[]
** Feelpp %my_regression_parameter={'nodes': 2, 'tasks_per_node': 128} %inputs=[]
** Feelpp %my_regression_parameter={'nodes': 1, 'tasks_per_node': 128} %inputs=[]


[%dynamic%close,python]
----
from feelpp.benchmarking.reframe.report import Report
report=Report(file_path="docs/modules/meluxina/pages/20231209/kub_scenario0.json")
----

=== Performance by Simulation Steps

[%dynamic%raw%open,python]
----
fig=report.plotPerformanceByStep()
fig.show()
----

=== Performance by Number of Tasks

[%dynamic%raw%open,python]
----
fig=report.plotPerformanceByTask()
fig.show()
----

=== Speedup of the simulation Steps

[%dynamic%open,python]
----
print(report.speedup())
----

.Speedup
[%dynamic%raw%open,python]
----
fig=report.plotSpeedup()
fig.show()
----
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