GEOPM
Serves as a framework for investigating energy and power optimizations geared towards heterogeneous high performance computing platforms.
https://github.com/geopm/geopm
Category: Consumption
Sub Category: Computation and Communication
Keywords
control-systems hardware high-performance-computing hpc power-management service sustainability telemetry
Keywords from Contributors
performance-monitoring gov kernel-module llnl msr msr-safe performance-analysis
Last synced: about 13 hours ago
JSON representation
Repository metadata
Global Extensible Open Power Manager
- Host: GitHub
- URL: https://github.com/geopm/geopm
- Owner: geopm
- License: bsd-3-clause
- Created: 2015-10-16T19:55:51.000Z (over 9 years ago)
- Default Branch: dev
- Last Pushed: 2025-04-23T00:34:20.000Z (4 days ago)
- Last Synced: 2025-04-24T12:02:12.034Z (3 days ago)
- Topics: control-systems, hardware, high-performance-computing, hpc, power-management, service, sustainability, telemetry
- Language: C++
- Homepage: https://geopm.github.io
- Size: 43 MB
- Stars: 100
- Watchers: 6
- Forks: 50
- Open Issues: 678
- Releases: 20
-
Metadata Files:
- Readme: README.md
- Changelog: ChangeLog.md
- Contributing: CONTRIBUTING.rst
- License: LICENSE-BSD-3-Clause
- Code of conduct: CODE_OF_CONDUCT.md
- Security: .github/SECURITY.md
- Authors: AUTHORS
README.md
GEOPM - Global Extensible Open Power Manager
Home Page
| GEOPM Access Service
| GEOPM Runtime Service
| Reference Manual
| Slack Workspace
Fine-grained low-latency batch access to power metrics and control knobs on Linux
Key Features
The Global Extensible Open Power Manager (GEOPM) provides a framework to
explore power and energy optimizations on platforms with heterogeneous mixes of
computing hardware.
Users can monitor their system's energy and power consumption, and safely
optimize system hardware settings to achieve energy efficiency and/or
performance objectives.
With GEOPM, a system administrator can:
- Grant per-user or per-group access to individual metrics and controls, even
when their underlying interfaces do not offer fine-grained access control - Ensure that user-driven changes to hardware settings are reverted when the
user's process session terminates - Develop your own platform-specific monitor and control interfaces through
the extensible plugin architecture
With GEOPM, an end user can:
- Interact with hardware settings and sensors (e.g., set a CPU power limit or
read a GPU's current power consumption) using a platform-agnostic interface - Generate summarized reports of power and energy behavior during execution
of an application - Automatically detect MPI and OpenMP phases in an application, generating
per-phase summaries within application reports - Optimize applications to improve energy efficiency or reduce the
effects of work imbalance, system jitter, and manufacturing variation
through built-in control algorithms - Develop your own runtime control algorithms through the extensible
plugin architecture - Gather large groups of signal-reads or control-writes into batch
operations, often reducing total latency to complete the operations.
GEOPM software is separated into two major components, the GEOPM Access
Service and the GEOPM Runtime Service.
GEOPM Access Service: A privileged
process that provides user interfaces to hardware signals and controls and
admin interfaces to manage user access. C and C++ bindings to this
interface are provided through libgeopmd. Python bindings are
provided through the geopmdpy package.
GEOPM Runtime Service: An unprivileged
process that provides a framework to control platform settings based on
feedback from signals and monitored application state. This process delegates
platform interactions to the GEOPM Access Service. C and C++ bindings are
provided through libgeopm. Python bindings are provided through
the geopmpy package.
Getting Started Guide
The GEOPM Getting Started Guide is a
great introduction to the GEOPM Software. Some of the topics covered there include:
- Reading signals and writing controls at various scopes in the topology
- Setting admin policies for user access to signals and controls
- Exploring the platform's hardware topology
- Repeatedly reading multiple signals in batches
- Using the GEOPM Runtime Service alongside applications
Examples from Getting Started Guide
Some simple use also shown in the Getting Started Guide cases are illustrated below.
Read the current power consumption of all CPUs in the platform. The command
will print the total power consumption (in Watts) summed across all CPUs on the
board.
geopmread CPU_POWER board 0
https://github.com/geopm/geopm.github.io/assets/378319/795b297e-7a45-47a8-bf67-3fdf8be9448e
Apply a 3.0 GHz maximum-allowed CPU core frequency to each CPU on the board.
This setting will be automatically reverted when the user's session ends (e.g.,
when exiting the current shell).
geopmwrite CPU_FREQUENCY_MAX_CONTROL board 0 3.0e9
https://github.com/geopm/geopm.github.io/assets/378319/0a4f2cf8-cebf-4556-b710-6c664568790d
Generate a CSV (comma-separated variable) trace of CPU core frequency versus
time, sampling once every second for a total of 10 seconds:
echo -e 'TIME board 0\nCPU_FREQUENCY_STATUS package 0' | geopmsession -p 1.0 -t 10.0
https://github.com/geopm/geopm.github.io/assets/378319/382fbe44-5ab4-4c43-9173-982473ebccb8
GEOPM Install Guide
We provide installable packages for Fedora, Ubuntu, CentOS, Rocky, openSUSE, and
RHEL. Details are available in our Install
Guide documentation page about the GEOPM
packages, supported Linux distributions, GPU features, building and configuring
packages from source, building and installing for a single user, and integration
with Spack.
Examples from Install Guide
For example, on Ubuntu Jammy the following commands will install the
latest stable release of the GEOPM Access service and the associated development
files:
sudo add-apt-repository ppa:geopm/release
sudo apt update
sudo apt install geopmd libgeopmd-dev
In the bash script below we show a simple way to build and install all of the
GEOPM packages from the source repository assuming that all build dependencies
are installed system wide.
# Choose install location
INSTALL_PREFIX=$HOME/build/geopm # User install
# INSTALL_PREFIX=/usr/local # Root install
pip install -r requirements.txt
cd libgeopmd
./autogen.sh
./configure --prefix=$INSTALL_PREFIX
make -j # Build libgeopmd
make install # Install to the --prefix location
cd ../libgeopm
./autogen.sh
./configure --prefix=$INSTALL_PREFIX
make -j # Build libgeopm
make install # Install to the --prefix location
cd ..
pip install -r geopmdpy/requirements.txt
pip install ./geopmdpy
pip install -r geopmpy/requirements.txt
pip install ./geopmpy
make -C docs man
make -C docs prefix=$INSTALL_PREFIX install_man
When building from source and configured with the --prefix
option, the
libraries, and binaries will not install into the standard system paths. At this
point, you must modify your environment to specify the installed location.
export LD_LIBRARY_PATH=$INSTALL_PREFIX/lib:$LD_LIBRARY_PATH
export PATH=$INSTALL_PREFIX/bin:$PATH
Major GEOPM Versions
At a high level, major GEOPM releases are summarized as follows:
- Version 3.0: The GEOPM runtime now also works with non-MPI applications.
- Version 2.0: GEOPM is split into two components: a service that manages
platform I/O, and a runtime that writes platform power management controls
based on feedback from MPI application state and platform state. GEOPM now
has interfaces for Intel and NVIDIA GPUs and theisst_interface
driver. - Version 1.0: GEOPM is production-ready. It provides an abstraction layer
for interaction with a platform's power metrics and control knobs, and
offers the ability to interact with control knobs based on information from
instrumented MPI applications.
Please refer to the ChangeLog.md for a more detailed history of
changes in each release.
Repository Directories
- .github contains definitions of this repository's GitHub actions
- docs contains web and man-page documentation for GEOPM
- geopmdgo provides Golang Bindings for libgeopmd
- geopmdpy provides Python bindings for libgeopmd
- geopmdrs geopmd gRPC UDS proxy server for container support
- geopmpy provides Python bindings for libgeopm
- integration contains integration test automation for GEOPM
- libgeopm provides the C/C++ implementation of the GEOPM Runtime Service
- libgeopmd provides the C/C++ implementation of the GEOPM Access Service
- release packaging files for latest release by distro
Guide for Contributors
We appreciate all feedback on our project. See our contributing
guide for guidelines on
how to report bugs, request new features, or contribute new code.
Refer to the GEOPM Developer Guide for
information about how to interact with our build and test tools.
License
The GEOPM source code is distributed under the 3-clause BSD license.
SEE LICENSE-BSD-3-Clause FILE FOR LICENSE INFORMATION.
Last Update
2025 March 10
Christopher Cantalupo [email protected]
Brad Geltz [email protected]
Acknowledgments
Development of the GEOPM software package has been partially funded
through contract B609815 with Argonne National Laboratory.
Owner metadata
- Name: GEOPM
- Login: geopm
- Email:
- Kind: organization
- Description:
- Website: https://geopm.github.io
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/14283883?v=4
- Repositories: 4
- Last ynced at: 2023-03-05T05:24:25.576Z
- Profile URL: https://github.com/geopm
GitHub Events
Total
- Create event: 4
- Commit comment event: 1
- Issues event: 166
- Watch event: 7
- Delete event: 4
- Issue comment event: 54
- Push event: 120
- Pull request review comment event: 202
- Pull request event: 258
- Pull request review event: 347
- Fork event: 2
Last Year
- Create event: 4
- Commit comment event: 1
- Issues event: 166
- Watch event: 7
- Delete event: 4
- Issue comment event: 54
- Push event: 120
- Pull request review comment event: 202
- Pull request event: 258
- Pull request review event: 347
- Fork event: 2
Committers metadata
Last synced: 6 days ago
Total Commits: 6,985
Total Committers: 32
Avg Commits per committer: 218.281
Development Distribution Score (DDS): 0.547
Commits in past year: 831
Committers in past year: 8
Avg Commits per committer in past year: 103.875
Development Distribution Score (DDS) in past year: 0.351
Name | Commits | |
---|---|---|
Christopher M. Cantalupo | c****o@i****m | 3164 |
Brad Geltz | b****z@i****m | 1100 |
Diana Guttman | d****n@i****m | 786 |
Lowren Lawson | l****n@i****m | 407 |
Daniel Wilson | d****n@i****m | 391 |
Steve S. Sylvester | s****r@i****m | 254 |
Brandon Baker | b****r@i****m | 227 |
Konstantin Rebrov | k****v@i****m | 180 |
Alejandro Vilches | a****s@i****m | 179 |
Fuat Keceli | f****i@i****m | 83 |
Asma H. Al-Rawi | a****i@i****m | 69 |
Ali Mohammad | a****d@i****m | 52 |
Siddhartha Jana | s****a@i****m | 27 |
Asma H Al-Rawi | a****i@i****m | 23 |
pathway27 | p****7@g****m | 9 |
Stephanie Labasan | s****n@i****m | 6 |
slcoumer | s****i@i****m | 4 |
Taylor Jackle Spriggs | t****s@i****m | 3 |
Stephanie Labasan | l****1@l****v | 3 |
Barry Rountree | b****e@p****m | 2 |
Stephanie Brink | b****2@l****v | 2 |
Xunjin | x****r@g****m | 2 |
Matthias Maiterth | m****h@i****m | 2 |
Ali Erdinc Koroglu | a****u@i****m | 2 |
Aniruddha Marathe | m****1@l****v | 1 |
Ben Allen | b****n@a****v | 1 |
Ethan Brown | e****n@g****m | 1 |
EC TF Bind account | e****t@i****m | 1 |
Livingston, Kelly A | k****n@i****m | 1 |
Reese Baird | r****d@i****m | 1 |
and 2 more... |
Committer domains:
- intel.com: 22
- llnl.gov: 3
- alcf.anl.gov: 1
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 589
Total pull requests: 543
Average time to close issues: 5 months
Average time to close pull requests: 23 days
Total issue authors: 13
Total pull request authors: 18
Average comments per issue: 0.36
Average comments per pull request: 0.2
Merged pull request: 437
Bot issues: 0
Bot pull requests: 0
Past year issues: 222
Past year pull requests: 251
Past year average time to close issues: about 1 month
Past year average time to close pull requests: 6 days
Past year issue authors: 7
Past year pull request authors: 7
Past year average comments per issue: 0.27
Past year average comments per pull request: 0.19
Past year merged pull request: 225
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- bgeltz (199)
- cmcantalupo (196)
- dannosliwcd (79)
- asmaalrawi (30)
- avilcheslopez (28)
- lhlawson (22)
- dianarg (17)
- sidjana (7)
- fkeceli (3)
- maiterth (3)
- tjs-intel (2)
- alawibaba (2)
- CaoZhongZ (1)
Top Pull Request Authors
- cmcantalupo (264)
- bgeltz (95)
- dannosliwcd (86)
- lhlawson (20)
- asmaalrawi (18)
- avilcheslopez (16)
- alawibaba (11)
- sidjana (10)
- dianarg (9)
- scoumeri (4)
- bakerbrandond (2)
- tjs-intel (2)
- luigigenovese (1)
- aekoroglu (1)
- pathway27 (1)
Top Issue Labels
- task (182)
- bug (172)
- bug-quality-high (76)
- bug-exposure-high (73)
- feature (62)
- bug-priority-low (60)
- bug-priority-high (59)
- stretch-goal (52)
- bug-exposure-low (46)
- 3.1 (46)
- doc (46)
- bug-quality-low (46)
- 3.0 (36)
- tech debt (34)
- bug-verification-required (23)
- story (22)
- 3.2 (21)
- release-priority (17)
- 2.1 (9)
- geopm-service (9)
- break-down-please (9)
- endpoint (8)
- invalid (8)
- next release (7)
- profile (6)
- enhancement (6)
- energy efficient (6)
- under-review (6)
- 2.0 (4)
- powerstack (4)
Top Pull Request Labels
- 3.0.1 (13)
- 3.0 (2)
- algorithmic agent (2)
- 2.1 (2)
- under-review (2)
- stretch-goal (2)
- doc (1)
- 2.0 (1)
- hacktoberfest-accepted (1)
- next release (1)
- tech debt (1)
- pending-estimate (1)
- task (1)
- bug (1)
- release-priority (1)
Dependencies
- actions/checkout v3 composite
- actions/checkout v2 composite
- codespell-project/actions-codespell v1.0 composite
- actions/checkout v3 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- github/codeql-action/analyze v2 composite
- github/codeql-action/init v2 composite
- docutils >=0.14
- flaky >=3.7.0
- matplotlib >=2.2.2
- cffi >=1.15.0
- cycler >=0.11.0
- natsort >=8.1.0
- numpy >=1.19.5
- pandas >=1.1.5
- psutil >=5.9.0
- pyyaml >=6.0.0
- setuptools >=59.6.0
- tables >=3.7.0
- cffi >=1.15.0
- cycler >=0.11.0
- geopmdpy *
- natsort >=8.1.0
- numpy >=1.19.5
- pandas >=1.1.5
- psutil >=5.9.0
- pyyaml >=6.0.0
- setuptools >=59.6.0
- tables >=3.7.0
- cffi >=1.15.0
- dasbus >=1.6
- docstring_parser >=0.13
- jsonschema >=3.2.0
- psutil >=5.9.0
- pygments >=2.13.0
- pyyaml >=6.0.0
- setuptools >=59.6.0
- sphinx >=4.5.0
- sphinx_rtd_theme >=1.0.0
- sphinxemoji >=0.2.0
- cffi >=1.15.0
- dasbus >=1.6.0
- jsonschema >=3.2.0
- psutil >=5.9.0
- setuptools >=59.6.0
Score: 10.122462426978117