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Another useful analysis is to see for a single PET the cost of each iteration of a region. For example, assume the atmosphere model executed the phase RunPhase1 200 times. Do each of these iterations cost the same? Is there a pattern to any variation?
For example, in the plot below, there is a regular increase in execution time about every 44 iterations. This indicates that the model is doing some extra work on those timesteps that the user would need to verify is expected.
Note that this is just a plot for a single PET. There could be value in also aggregating over multiple PETs, particularly to show outliers.
The text was updated successfully, but these errors were encountered:
Another useful analysis is to see for a single PET the cost of each iteration of a region. For example, assume the atmosphere model executed the phase RunPhase1 200 times. Do each of these iterations cost the same? Is there a pattern to any variation?
For example, in the plot below, there is a regular increase in execution time about every 44 iterations. This indicates that the model is doing some extra work on those timesteps that the user would need to verify is expected.
Note that this is just a plot for a single PET. There could be value in also aggregating over multiple PETs, particularly to show outliers.
The text was updated successfully, but these errors were encountered: