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add discoverer and karolina + images of the systems
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* xref:index.adoc[Discoverer Reports] | ||
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= Report | ||
:page-layout: case-study |
696 changes: 696 additions & 0 deletions
696
docs/modules/discoverer/pages/kub/scenario0/20231201-1430.json
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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 | ||
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== Test Summary | ||
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* 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=[] | ||
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[%dynamic%close,python] | ||
---- | ||
from feelpp.benchmarking.reframe.report import Report | ||
report=Report(file_path="docs/modules/discoverer/pages/kub/scenario0/20231201-1430.json") | ||
---- | ||
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=== Performance by Simulation Steps | ||
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[%dynamic%raw%open,python] | ||
---- | ||
fig=report.plotPerformanceByStep() | ||
fig.show() | ||
---- | ||
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=== Performance by Number of Tasks | ||
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[%dynamic%raw%open,python] | ||
---- | ||
fig=report.plotPerformanceByTask() | ||
fig.show() | ||
---- | ||
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=== Speedup of the simulation Steps | ||
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.Speedup | ||
[%dynamic%raw%open,python] | ||
---- | ||
print(report.speedup()) | ||
fig=report.plotSpeedup() | ||
fig.show() | ||
---- |
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* xref:index.adoc[Karolina Reports] | ||
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= Report | ||
:page-layout: case-study |
696 changes: 696 additions & 0 deletions
696
docs/modules/karolina/pages/kub/scenario0/20231207-1600.json
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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 | ||
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== Test Summary | ||
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* 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=[] | ||
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[%dynamic%close,python] | ||
---- | ||
from feelpp.benchmarking.reframe.report import Report | ||
report=Report(file_path="docs/modules/karolina/pages/kub/scenario0/20231207-1600.json") | ||
---- | ||
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=== Performance by Simulation Steps | ||
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||
[%dynamic%raw%open,python] | ||
---- | ||
fig=report.plotPerformanceByStep() | ||
fig.show() | ||
---- | ||
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||
=== 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() | ||
---- |
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* xref:index.adoc[Reports] | ||
* xref:index.adoc[Meluxina Reports] | ||
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= Reframe Report for meluxina | ||
:page-plotly: true | ||
:page-jupyter: true | ||
:author: Your Name | ||
:revdate: 2023-12-09T00:40:37+0100 | ||
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== Test Summary | ||
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* 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=[] | ||
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[%dynamic%close,python] | ||
---- | ||
from feelpp.benchmarking.reframe.report import Report | ||
report=Report(file_path="docs/modules/meluxina/pages/20231209/kub_scenario0.json") | ||
---- | ||
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=== Performance by Simulation Steps | ||
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[%dynamic%raw%open,python] | ||
---- | ||
fig=report.plotPerformanceByStep() | ||
fig.show() | ||
---- | ||
|
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=== Performance by Number of Tasks | ||
|
||
[%dynamic%raw%open,python] | ||
---- | ||
fig=report.plotPerformanceByTask() | ||
fig.show() | ||
---- | ||
|
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=== 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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