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<profiling mode="all"/>
in the preCICE configuration of your case to get the profiling information.precice-profiling-merge
to combine all emitted profiling files of the simulation into a single profiling.db
file.precice-profiling-analyze
to get a breakdown of an individual solver.precice-profiling-trace
to visualize the data.precice-profiling-export
to export the data as CSV to import in other software.Merges profiling files emitted by each rank of each participant into a single easily portable file.
Creates a profiling.db
by default.
Transforms all events to a tabular format and exports the result as a CSV format.
The columns Participant
, and Rank
can be used to filter the dataset to extract individual participants or specific ranks.
Reads profiling.db
and creates profiling.csv
by default.
Transforms all events to the Google Trace Format which can be visualized by tools such as about::tracing
in Chromium based browsers or perfetto.dev.
Reads profiling.db
and creates trace.json
by default.
Analyzes a given solver and returns a table of all timings including some statistics based on their duration.
Reads profiling.db
by default.
HPC users or users of locked down clusters without easy access to pip can download the merge
command as a standalone file and run it without installing additional dependencies.
wget -O precice-profiling-merge https://raw.githubusercontent.com/precice/profiling/refs/heads/main/preciceprofiling/merge.py
chmod +x precice-profiling-merge
This repository contains modified part of the the precice-profiling
script, which is part of the preCICE library (precice/precice tools/profiling/precice-profiling
) and licensed under the LGPv3 license.
The two copyright holders David Schneider (@davidscn david.schneider@ipvs.uni-stuttgart.de) and Frédéric Simonis (@fsimonis frederic.simonis@ipvs.uni-stuttgart.de) decided on 23. June 2025 15:00 CET to rerelease the content of the precice-profiling
script in this repository under the MIT license.
FAQs
A tool for post-processing and analyzing preCICE profiling data.
We found that precice-profiling demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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