@@ -98,7 +98,7 @@ The general workflow looks as follows:
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1 . Run the simulation
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2 . Merge the event files
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- 3 . Analyze each participant, which executes a mapping or computes acceleration
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+ 3 . Analyze each participant executing a mapping or computing acceleration
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4 . Analyze each participant to check for load-imbalance between ranks
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5 . Visualize the simulation to check for load-imbalance between participants
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@@ -120,7 +120,7 @@ An example could look like this:
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└── precice-config.xml
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```
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- To find and merge these files run:
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+ where the naming pattern is ` participant-rank-file_number ` . To find and merge these files run:
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``` console
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$ ls
@@ -144,9 +144,9 @@ events.json
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```
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The merge command searches passed directories for the event files.
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- You can also pass individual files if you are not interested in all ranks
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+ You can also pass individual files if you are not interested in all ranks.
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- The merge command is written in pure python without external dependencies to make it easy to use on clusters.
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+ The merge command is written in pure Python, without external dependencies, to make it easy to use on clusters.
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After you run ` precice-events merge ` , you end up with a single file, which can be additionally compressed and transferred to another machine.
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This is especially handy for very large and/or long simulations on clusters or supercomputers.
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@@ -186,7 +186,7 @@ Writing to trace.json
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An example trace visualization using ` ui.perfetto.dev ` of the [ elastic tube 1d tutorial] ( tutorials-elastic-tube-1d.html ) looks as follows.
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Note the alternating executions of the solver due to the serial coupling scheme.
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- ![ example of the elastic tube 1d tutorial visualized by perfetto] ( images/docs/tooling/profiling-aste-perfetto -serial.png )
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+ ![ example of the elastic tube 1d tutorial visualized by perfetto] ( images/docs/tooling/profiling-elastictube1d -serial.png )
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An example trace visualization using ` ui.perfetto.dev ` of a parallel [ ASTE] ( tooling-aste.html ) run on two and four ranks looks as follows.
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This first version contains only fundamental events, which is the default profiling setting.
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