cpu-energy-meter

A tool for measuring energy consumption of Intel CPUs

https://github.com/sosy-lab/cpu-energy-meter

Science Score: 20.0%

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  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
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  • Academic publication links
    Links to: zenodo.org
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    1 of 5 committers (20.0%) from academic institutions
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    Low similarity (10.4%) to scientific vocabulary

Keywords

energy linux rapl resource-measurement

Keywords from Contributors

benchmark-framework benchmarking cgroups
Last synced: 6 months ago · JSON representation

Repository

A tool for measuring energy consumption of Intel CPUs

Basic Info
  • Host: GitHub
  • Owner: sosy-lab
  • License: bsd-3-clause
  • Language: C
  • Default Branch: main
  • Homepage:
  • Size: 249 KB
Statistics
  • Stars: 339
  • Watchers: 13
  • Forks: 31
  • Open Issues: 2
  • Releases: 3
Topics
energy linux rapl resource-measurement
Created over 10 years ago · Last pushed over 2 years ago
Metadata Files
Readme Changelog License

README.md

CPU Energy Meter

Build Status BSD-3-Clause License Releases DOI via Zenodo

CPU Energy Meter is a Linux tool that allows to monitor power consumption of Intel CPUs at fine time granularities (few tens of milliseconds). Power monitoring is available for the following power domains: - per package domain (CPU socket) - per core domain (all the CPU cores on a package) - per uncore domain (uncore components, e.g., integrated graphics on client CPUs) - per memory node (memory local to a package, server CPUs only) - per platform (all devices in the platform that receive power from integrated power delivery mechanism, e.g., processor cores, SOC, memory, add-on or peripheral devices)

To do this, the tool uses a feature of Intel CPUs that is called RAPL (Running Average Power Limit), which is documented in the Intel Software Developers Manual, Volume 3B Chapter 14.9. RAPL is available on CPUs from the generation Sandy Bridge and later. Because CPU Energy Meter uses the maximal possible measurement interval (depending on the hardware this is between a few minutes and an hour), it causes negligible overhead.

CPU Energy Meter is a fork of the Intel Power Gadget and developed at the Software Systems Lab of the Ludwig-Maximilians-Universität München (LMU Munich) under the BSD-3-Clause License.

Installation

For Debian or Ubuntu the easiest way is to install from our PPA:

sudo add-apt-repository ppa:sosy-lab/benchmarking
sudo apt install cpu-energy-meter

Alternatively, you can download our .deb package from GitHub and install it with apt install ./cpu-energy-meter*.deb.

Dependencies of CPU Energy Meter are libcap, which is available on most Linux distributions in package libcap (e.g., Fedora) or libcap2 (e.g, Debian and Ubuntu: sudo apt install libcap2), and a Linux kernel with the MSR module (available by default)

Alternatively, for running CPU Energy Meter from source (quick and dirty):

sudo apt install libcap-dev
sudo modprobe msr
make
sudo ./cpu-energy-meter

It is also possible (and recommended) to run CPU Energy Meter without root. To do so, the following needs to be done:

  • Load kernel modules msr and cpuid.
  • Add a group msr.
  • Add a Udev rule that grants access to /dev/cpu/*/msr to group msr (example).
  • Run chgrp msr, chmod 2711, and setcap cap_sys_rawio=ep on the binary (make setup is a shortcut for this).

The provided Debian package in our PPA and on GitHub does these steps automatically and lets all users execute CPU Energy Meter.

How to use it

cpu-energy-meter [-d] [-e sampling_delay_ms] [-r]

The tool will continue counting the cumulative energy use of all supported CPUs in the background and will report a key-value list of its measurements when it receives SIGINT (Ctrl+C):

+--------------------------------------+ | CPU-Energy-Meter Socket 0 | +--------------------------------------+ Duration 2.504502 sec Package 3.769287 Joule Core 0.317749 Joule Uncore 0.010132 Joule DRAM 0.727783 Joule PSYS 29.792603 Joule

To get intermediate measurements, send signal USR1 to the process.

Optionally, the tool can be executed with parameter -r to print the output as a raw (easily parsable) list:

cpu_count=1 duration_seconds=3.241504 cpu0_package_joules=4.971924 cpu0_core_joules=0.461182 cpu0_uncore_joules=0.053406 cpu0_dram_joules=0.953979 cpu0_psys_joules=38.904785

The parameter -d adds debug output. By default, CPU Energy Meter computes the necessary measurement interval automatically, this can be overridden with the parameter -e.

Owner

  • Name: SoSy-Lab
  • Login: sosy-lab
  • Kind: organization
  • Location: LMU Munich, Germany

GitHub Events

Total
  • Issues event: 2
  • Watch event: 14
  • Issue comment event: 14
  • Fork event: 2
Last Year
  • Issues event: 2
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  • Issue comment event: 14
  • Fork event: 2

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 211
  • Total Committers: 5
  • Avg Commits per committer: 42.2
  • Development Distribution Score (DDS): 0.559
Past Year
  • Commits: 4
  • Committers: 1
  • Avg Commits per committer: 4.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Thomas Bunk T****9@g****m 93
Philipp Wendler u****i@p****e 87
Nils Steinger g****t@n****e 19
Thomas Lemberger l****e@f****e 11
leostrakosch s****i@g****m 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 32
  • Total pull requests: 2
  • Average time to close issues: 5 months
  • Average time to close pull requests: 4 months
  • Total issue authors: 12
  • Total pull request authors: 2
  • Average comments per issue: 3.41
  • Average comments per pull request: 4.5
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 0
  • Average time to close issues: 8 days
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 0
  • Average comments per issue: 16.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
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question (4) bug (2) enhancement (2) wontfix (1)
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Dependencies

test/Dockerfile docker
  • ubuntu bionic build