rocm-omniperf

Not released.

https://github.com/revyos-rocm/rocm-omniperf

Science Score: 49.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 5 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (14.1%) to scientific vocabulary
Last synced: 6 months ago · JSON representation

Repository

Not released.

Basic Info
  • Host: GitHub
  • Owner: revyos-rocm
  • License: mit
  • Language: Python
  • Default Branch: debian/master
  • Homepage:
  • Size: 7.62 MB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 9 months ago · Last pushed 8 months ago
Metadata Files
Readme Changelog Contributing License Codeowners Authors Zenodo

README.md

Ubuntu 22.04 RHEL 8 Instinct Docs DOI

Omniperf

General

Omniperf is a system performance profiling tool for machine learning/HPC workloads running on AMD MI GPUs. The tool presently targets usage on MI100, MI200, and MI300 accelerators.

  • For more information on available features, installation steps, and workload profiling and analysis, please refer to the online documentation.

  • Omniperf is an AMD open source research project and is not supported as part of the ROCm software stack. We welcome contributions and feedback from the community. Please see the CONTRIBUTING.md file for additional details on our contribution process.

  • Licensing information can be found in the LICENSE file.

Development

Omniperf follows a main-dev branching model. As a result, our latest stable release is shipped from the amd-mainline branch, while new features are developed in our amd-staging branch.

Users may checkout amd-staging to preview upcoming features.

How to Cite

This software can be cited using a Zenodo DOI reference. A BibTex style reference is provided below for convenience:

@software{xiaomin_lu_2022_7314631 author = {Xiaomin Lu and Cole Ramos and Fei Zheng and Karl W. Schulz and Jose Santos and Keith Lowery and Nicholas Curtis and Cristian Di Pietrantonio}, title = {AMDResearch/omniperf: v2.0.1 (03 June 2024)}, month = june, year = 2024, publisher = {Zenodo}, version = {v2.0.1}, doi = {10.5281/zenodo.7314631}, url = {https://doi.org/10.5281/zenodo.7314631} }

Owner

  • Name: revyos-rocm
  • Login: revyos-rocm
  • Kind: organization

GitHub Events

Total
Last Year

Dependencies

.github/workflows/dependabot.yml actions
.github/workflows/docs.yml actions
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.github/workflows/formatting.yml actions
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.github/workflows/mi-rhel9.yml actions
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.github/workflows/packaging.yml actions
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.github/workflows/rhel-8.yml actions
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.github/workflows/ubuntu-jammy.yml actions
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cmake/Dockerfile docker
  • ubuntu 20.04 build
grafana/Dockerfile docker
  • ubuntu 22.04 build
grafana/docker-compose.yml docker
  • mongo latest
  • omniperf-grafana-v1.0 latest
grafana/plugins/omniperf_plugin/package.json npm
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docs/archive/requirements-doc.txt pypi
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docs/sphinx/requirements.in pypi
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docs/sphinx/requirements.txt pypi
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pyproject.toml pypi
requirements-test.txt pypi
  • mock * test
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requirements.txt pypi
  • astunparse ==1.6.2
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  • dash-bootstrap-components *
  • dash-svg *
  • kaleido *
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  • plotille *
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  • pyyaml *
  • setuptools *
  • tabulate *
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