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Adding authors #155

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Aug 9, 2024
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Adding authors #155

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7e76510
Merge pull request #145 from mlcommons/main
gfursin Jul 29, 2024
416e7fb
added Grigori and Arjun as authors of this project/repo
gfursin Aug 9, 2024
dcc7101
added "Major script developers"
gfursin Aug 9, 2024
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25 changes: 17 additions & 8 deletions README.md
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Expand Up @@ -21,21 +21,19 @@ and web services adaptable to continuously changing models, data sets, software

We develop and test [CM scripts](script) as a community effort to support the following projects:
* [CM for MLPerf](https://docs.mlcommons.org/inference): modularize and automate MLPerf benchmarks
(maintained by [MLCommons](https://mlcommons.org) and originally developed by [cKnowledge.org](https://cKnowledge.org), [OctoML](https://octoml.ai) and [cTuning.org](https://cTuning.org))
* [Modular C++ harness for MLPerf loadgen](https://github.com/mlcommons/cm4mlops/tree/main/script/app-mlperf-inference-mlcommons-cpp)
* [Modular Python harness for MLPerf loadgen](https://github.com/mlcommons/cm4mlops/tree/main/script/app-loadgen-generic-python)
* [CM for research and education](https://cTuning.org/ae): provide a common interface to automate and reproduce results from research papers
and MLPerf benchmarks (maintained by [cTuning foundation](https://cTuning.org) and [cKnowledge.org](https://cKnowledge.org))
* [CM for ABTF](https://github.com/mlcommons/cm4abtf): provide a unified CM interface to run automotive benchmarks
(maintained by [MLCommons](https://mlcommons.org) and originally developed by [cKnowledge.org](https://cKnowledge.org))
and MLPerf benchmarks;
* [CM for ABTF](https://github.com/mlcommons/cm4abtf): provide a unified CM interface to run automotive benchmarks;
* [CM for optimization](https://access.cknowledge.org/playground/?action=challenges): co-design efficient and cost-effective
software and hardware for AI, ML and other emerging workloads via open challenges
(maintained by [cKnowledge.org](https://cKnowledge.org))
software and hardware for AI, ML and other emerging workloads via open challenges.

You can read this [ArXiv paper](https://arxiv.org/abs/2406.16791) to learn more about the CM motivation and long-term vision.

Please provide your feedback or submit your issues [here](https://github.com/mlcommons/cm4mlops/issues).


## Catalog

Online catalog: [cKnowledge](https://access.cknowledge.org/playground/?action=scripts), [MLCommons](https://docs.mlcommons.org/cm4mlops/scripts).
Expand Down Expand Up @@ -137,9 +135,20 @@ cm run script \

[Apache 2.0](LICENSE.md)

## Acknowledgments
## Authors

[Grigori Fursin](https://cKnowledge.org/gfursin) and [Arjun Suresh](https://www.linkedin.com/in/arjunsuresh)

## Major script developers

Arjun Suresh, Anandhu S, Grigori Fursin

## Funding

We thank [cKnowledge.org](https://cKnowledge.org), [cTuning foundation](https://cTuning.org)
and [MLCommons](https://mlcommons.org) for sponsoring this project!
We also thank all [volunteers, collaborators and contributors](https://github.com/mlcommons/ck/blob/master/CONTRIBUTING.md)

## Acknowledgments

We thank all [volunteers, collaborators and contributors](https://github.com/mlcommons/ck/blob/master/CONTRIBUTING.md)
for their support, fruitful discussions, and useful feedback!
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