perun

Calculates the energy consumption of Python scripts by sampling usage statistics from your hardware components.
https://github.com/helmholtz-ai-energy/perun

Category: Consumption
Sub Category: Computation and Communication

Keywords

benchmarking command-line-tool energy energy-monitor hpc mpi python

Keywords from Contributors

parallel transforms archiving profiles routing observation measur polar feature-engine conversion

Last synced: about 12 hours ago
JSON representation

Repository metadata

Perun is a Python package that measures the energy consumption of you applications.

• Host: GitHub
• URL: https://github.com/helmholtz-ai-energy/perun
• Owner: Helmholtz-AI-Energy
• License: bsd-3-clause
• Created: 2022-08-10T13:53:19.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2025-06-12T15:55:13.000Z (17 days ago)
• Last Synced: 2025-06-23T18:03:44.901Z (6 days ago)
• Topics: benchmarking, command-line-tool, energy, energy-monitor, hpc, mpi, python
• Language: Python
• Homepage: https://perun.readthedocs.io/en/latest/
• Size: 612 KB
• Stars: 72
• Watchers: 4
• Forks: 4
• Open Issues: 18
• Releases: 38
• Metadata Files:
  • Readme: README.rst
  • Changelog: CHANGELOG.md
  • License: LICENSE
  • Citation: CITATION.cff

README.rst

          .. image:: https://raw.githubusercontent.com/Helmholtz-AI-Energy/perun/main/docs/images/full_logo.svg

| |fair-software| |openssf| |zenodo| |license| |docs|
| |pypi-version| |python-version| |pypi-downloads| |black| |codecov|

.. |fair-software| image:: https://img.shields.io/badge/fair--software.eu-%E2%97%8F%20%20%E2%97%8F%20%20%E2%97%8F%20%20%E2%97%8F%20%20%E2%97%8F-green
   :target: https://fair-software.eu
.. |openssf| image:: https://bestpractices.coreinfrastructure.org/projects/7253/badge
   :target: https://bestpractices.coreinfrastructure.org/projects/7253
.. |zenodo| image:: https://zenodo.org/badge/523363424.svg
   :target: https://zenodo.org/badge/latestdoi/523363424
.. |pypi-version| image:: https://img.shields.io/pypi/v/perun
.. |pypi-downloads| image:: https://img.shields.io/pypi/dm/perun
.. |black| image:: https://img.shields.io/badge/code%20style-black-000000.svg
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   :target: https://codecov.io/gh/Helmholtz-AI-Energy/perun
.. |python-version| image:: https://img.shields.io/badge/Python-3.9+-blue.svg
   :target: https://www.python.org/downloads/
.. |license| image:: https://img.shields.io/badge/License-BSD_3--Clause-blue.svg
   :target: https://opensource.org/licenses/BSD-3-Clause
.. |docs| image:: https://readthedocs.org/projects/perun/badge/?version=latest
   :target: https://perun.readthedocs.io/en/latest/?badge=latest

===============================================================

*perun* is a Python package that calculates the energy consumption of Python scripts by sampling usage statistics from your Intel, Nvidia or AMD hardware components. It can handle MPI applications, gather data from hundreds of nodes, and accumulate it efficiently. *perun* can be used as a command-line tool or as a function decorator in Python scripts.

Check out the `docs `_ or a working `example `_!

Key Features
------------

- Measures energy consumption of Python scripts and binaries, supporting different hardware configurations
- Capable of handling MPI applications, gathering data from hundreds of nodes efficiently
- Monitor individual functions using decorators
- Tracks energy usage of the application over multiple executions
- Easy to benchmark applications and functions
- Experimental!: Can monitor any non-distributed command line application

-----------------------------------------------------------------


Quick Start
-----------

Installation
^^^^^^^^^^^^

From PyPI:

.. code:: console

    $ pip install perun

Extra dependencies like *nvidia-smi*, *rocm-smi* and *mpi4py* can be installed using pip as well:

.. code:: console

    $ pip install perun[nvidia, rocm, mpi]

From Github:

.. code:: console

    $ pip install git+https://github.com/Helmholtz-AI-Energy/perun

Command Line
^^^^^^^^^^^^

To use *perun* as a command-line tool:

.. code:: console

    $ perun monitor path/to/your/script.py [args]

*perun* will output two files, an HDF5 style containing all the raw data that was gathered, and a text file with a summary of the results.

.. code:: text

    PERUN REPORT

    App name: finetune_qa_accelerate
    First run: 2023-08-15T18:56:11.202060
    Last run: 2023-08-17T13:29:29.969779

    RUN ID: 2023-08-17T13:29:29.969779

    +-----------+------------------------+-----------+-------------+--------------+-------------+-------------+-------------+---------------+-------------+
    | Round #   | Host                   | RUNTIME   | ENERGY      | CPU_POWER    | CPU_UTIL    | GPU_POWER   | GPU_MEM     | DRAM_POWER    | MEM_UTIL    |
    +===========+========================+===========+=============+==============+=============+=============+=============+===============+=============+
    | 0         | hkn0432.localdomain    | 995.967 s | 960.506 kJ  | 231.819 W    | 3.240 %     | 702.327 W   | 55.258 GB   | 29.315 W      | 0.062 %     |
    | 0         | hkn0436.localdomain    | 994.847 s | 960.469 kJ  | 235.162 W    | 3.239 %     | 701.588 W   | 56.934 GB   | 27.830 W      | 0.061 %     |
    | 0         | All                    | 995.967 s | 1.921 MJ    | 466.981 W    | 3.240 %     | 1.404 kW    | 112.192 GB  | 57.145 W      | 0.061 %     |

    The application has been run 7 times. In total, it has used 3.128 kWh, released a total of 1.307 kgCO2e into the atmosphere, and you paid 1.02 € in electricity for it.


Binary support (experimental)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

*perun* is capable of monitoring simple applications written in other languages:

.. code:: console

    $ perun monitor --binary path/to/your/executable [args]

Function Monitoring
^^^^^^^^^^^^^^^^^^^

Using a function decorator

.. code:: python

    import time
    from perun import monitor

    @monitor()
    def main(n: int):
        time.sleep(n)

After running with ``perun monitor``, the report will contain:

.. code:: text

    Monitored Functions

    +-----------+----------------------------+---------------------+------------------+--------------------+------------------+-----------------------+
    | Round #   | Function                   | Avg Calls / Rank    | Avg Runtime      | Avg Power          | Avg CPU Util     | Avg GPU Mem Util      |
    +===========+============================+=====================+==================+====================+==================+=======================+
    | 0         | main                       | 1                   | 993.323±0.587 s  | 964.732±0.499 W    | 3.244±0.003 %    | 35.091±0.526 %        |
    | 0         | prepare_train_features     | 88                  | 0.383±0.048 s    | 262.305±19.251 W   | 4.541±0.320 %    | 3.937±0.013 %         |
    | 0         | prepare_validation_features| 11                  | 0.372±0.079 s    | 272.161±19.404 W   | 4.524±0.225 %    | 4.490±0.907 %         |


MPI
^^^

*perun* is compatible with MPI applications using ``mpi4py``:

.. code:: console

    $ mpirun -n 8 perun monitor path/to/your/script.py

Docs
----

See the `documentation `_ or `examples `_ for more details.

Citing perun
------------

If you found *perun* useful, please cite the conference paper:

::

    Gutiérrez Hermosillo Muriedas, J.P., Flügel, K., Debus, C., Obermaier, H., Streit, A., Götz, M.:
    perun: Benchmarking Energy Consumption of High-Performance Computing Applications.
    In: Cano, J., Dikaiakos, M.D., Papadopoulos, G.A., Pericàs, M., and Sakellariou, R. (eds.)
    Euro-Par 2023: Parallel Processing. pp. 17–31. Springer Nature Switzerland, Cham (2023).
    https://doi.org/10.1007/978-3-031-39698-4_2

.. code-block:: bibtex

   @InProceedings{10.1007/978-3-031-39698-4_2,
     author="Guti{\'e}rrez Hermosillo Muriedas, Juan Pedro
     and Fl{\"u}gel, Katharina
     and Debus, Charlotte
     and Obermaier, Holger
     and Streit, Achim
     and G{\"o}tz, Markus",
     editor="Cano, Jos{\'e}
     and Dikaiakos, Marios D.
     and Papadopoulos, George A.
     and Peric{\`a}s, Miquel
     and Sakellariou, Rizos",
     title="perun: Benchmarking Energy Consumption of High-Performance Computing Applications",
     booktitle="Euro-Par 2023: Parallel Processing",
     year="2023",
     publisher="Springer Nature Switzerland",
     address="Cham",
     pages="17--31",
     isbn="978-3-031-39698-4"
   }

        

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: perun
message: 'If you use this software, please cite the paper.'
type: software
authors:
  - given-names: Juan Pedro
    family-names: Gutiérrez Hermosillo Muriedas
    email: [email protected]
    affiliation: >-
      Scientific Computing Center, Karlsruhe Institute of Technology
    orcid: 'https://orcid.org/0000-0001-8439-7145'
repository-code: 'https://github.com/Helmholtz-AI-Energy/perun'
repository: 'https://perun.readthedocs.io/en/latest/?badge=latest'
keywords:
  - Python
  - Energy
  - Benchmarking
  - HPC
  - MPI
license: BSD-3-Clause
preferred-citation:
  type: conference-paper
  authors:
    - given-names: Juan Pedro
      family-names: Gutiérrez Hermosillo Muriedas
      email: [email protected]
      affiliation: Karlsruhe Institute of Technology
      orcid: 'https://orcid.org/0000-0001-8439-7145'
    - given-names: Katharina
      family-names: Flügel
    - given-names: Charlotte
      family-names: Debus
    - given-names: Holger
      family-names: Obermaier
    - given-names: Achim
      family-names: Streit
    - given-names: Markus
      family-names: Götz
  title: >-
    perun: Benchmarking Energy Consumption of High-Performance Computing
    Applications
  year: 2023
  collection-title: 'Euro-Par 2023: Parallel Processing'
  collection-doi: 10.1007/978-3-031-39698-4
  doi: 10.1007/978-3-031-39698-4_2
  conference:
    name: >-
      29th International European Conference on Parallel and Distributed
      Computing
    date-start: "2023-08-28"
    date-end: "2017-09-01"

---

Owner metadata

• Name: Helmholtz AI Energy
• Login: Helmholtz-AI-Energy
• Email: [email protected]
• Kind: organization
• Description:
• Website: https://www.helmholtz.ai/
• Location: Karlsruhe, Germany
• Twitter:
• Company:
• Icon url: https://avatars.githubusercontent.com/u/72967658?v=4
• Repositories: 9
• Last ynced at: 2023-03-09T07:45:42.630Z
• Profile URL: https://github.com/Helmholtz-AI-Energy

---

GitHub Events

Total

• Create event: 18
• Release event: 4
• Issues event: 16
• Watch event: 22
• Delete event: 15
• Issue comment event: 25
• Push event: 85
• Pull request review event: 3
• Pull request event: 29
• Fork event: 1

Last Year

• Create event: 18
• Release event: 4
• Issues event: 16
• Watch event: 22
• Delete event: 15
• Issue comment event: 25
• Push event: 85
• Pull request review event: 3
• Pull request event: 29
• Fork event: 1

---

Committers metadata

Last synced: 3 days ago

Name	Email	Commits
Gutiérrez Hermosillo Muriedas, Juan Pedro	j****m@g****m	143
github-actions	a****n@g****m	16
pre-commit-ci[bot]	6****]	14
github-actions	g****s@g****m	11
semantic-release	s****e	10
dependabot[bot]	4****]	6
Markus Goetz	m****n@g****m	1
Andreas Fehlner	f****r@a****e	1
[email protected]	i****7@u****n	1

Committer domains:

• github.com: 2
• uc2n994.localdomain: 1
• arcor.de: 1

---

Issue and Pull Request metadata

Last synced: 1 day ago

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/helmholtz-ai-energy/perun

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Package metadata

• Total packages: 3
• Total downloads:
  • pypi: 381 last-month
• Total dependent packages: 1 (may contain duplicates)
• Total dependent repositories: 1 (may contain duplicates)
• Total versions: 143
• Total maintainers: 1

---

Dependencies

Score: 12.647676800254212