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title: Profilage de Code
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---
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# Code profilers
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In this Wiki, we will provide a methodology to install and run some code profilers. This has been tested on a specific Conda environment.
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Three tools have been proposed:
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- [Score-P](https://www.vi-hps.org/projects/score-p/)
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- [TAU](https://www.cs.uoregon.edu/research/tau/home.php), which allows the profiling of `for` loops
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- [Scalasca](https://www.scalasca.org/)
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To use the full extent of Tau, we also encourage to download [PDT](https://www.cs.uoregon.edu/research/pdt/home.php)
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## Install
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### Download:
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- PDT: http://tau.uoregon.edu/pdt.tgz
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- Score-P: https://perftools.pages.jsc.fz-juelich.de/cicd/scorep/tags/scorep-8.4/scorep-8.4.tar.gz
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- Tau: http://tau.uoregon.edu/tau.tgz
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- PDT: http://tau.uoregon.edu/pdt.tgz
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- Scalasca: https://apps.fz-juelich.de/scalasca/releases/scalasca/2.6/dist/scalasca-2.6.1.tar.gz
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### Conda Environment
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| ... | ... | @@ -185,7 +195,7 @@ paraprof profile.0.0.0 & |
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To allow profiling with Score-P, replace the standard compile commands as follows:
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- `g++` -> `scorep-g++`
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- `g++` -> `scorep g++`
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- `gfortran` -> `scorep gfortran`
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- `mpicxx` -> `scorep mpicxx`
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- `mpif90` -> `scorep mpif90`
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| ... | ... | |
| ... | ... | |
