Merge branch 'master' into arjunsuresh-patch-1

.github/CODEOWNERS

@@ -1,3 +1,5 @@
 # These owners will be the default owners for everything in the repo.
 # Unless a later match takes precedence,they will be requested for review when someone opens a pull request.
 * @mlcommons/wg-ck
+
+/CODEOWNERS @mlcommons/staff

CONTRIBUTING.md

@@ -14,9 +14,9 @@ Modify the project in your own fork and issue a pull request once you want other
 to take a look at what you have done and discuss the proposed changes. 
 Ensure that cla-bot and other checks pass for your Pull requests.
 
-## CM project coordinator
+## CM framework author
 
-* Grigori Fursin (cTuning.org and cKnowledge.org)
+* Grigori Fursin ([cKnowledge.org](https://cKnowledge.org) and [cTuning.org](https://cTuning.org))
 
 ## CM contributors in alphabetical order (suggestions, feedback, scripts)
 

README.md

@@ -43,9 +43,9 @@ CK consists of several ongoing sub-projects:
 
   * [Modular Python harness for MLPerf loadgen](https://github.com/mlcommons/cm4mlops/tree/main/script/app-mlperf-inference-mlcommons-python)
 
-* [Collective Knowledge Playground](https://access.cKnowledge.org) - an open-source platform to list CM scripts similar to PYPI,
-  aggregate AI/ML Systems benchmarking results with CM workflows, and organize 
-  [public optimization challenges and reproducibility initiatives](https://access.cknowledge.org/playground/?action=challenges) 
+* [Collective Knowledge Playground](https://access.cKnowledge.org) - an external platform being developed by [cKnowledge](https://cKnowledge.org)
+  to list CM scripts similar to PYPI, aggregate AI/ML Systems benchmarking results in a reproducible format with CM workflows, 
+  and organize [public optimization challenges and reproducibility initiatives](https://access.cknowledge.org/playground/?action=challenges) 
   to find the most performance and cost-effective AI/ML Systems.
 
   * [CK GUI to run modular benchmarks](https://access.cknowledge.org/playground/?action=howtorun) - such benchmarks 
@@ -56,18 +56,11 @@ CK consists of several ongoing sub-projects:
 
 [Apache 2.0](LICENSE.md)
 
-### Copyright
 
-2022-2024 [MLCommons](https://mlcommons.org)
-
-### Motivation behind CK and CM projects
-
-* ACM REP'23 keynote about the MLCommons CM automation framework: [ [slides](https://doi.org/10.5281/zenodo.8105339) ] 
-* ACM TechTalk'21 about automating research projects: [ [YouTube](https://www.youtube.com/watch?v=7zpeIVwICa4) ] [ [slides](https://learning.acm.org/binaries/content/assets/leaning-center/webinar-slides/2021/grigorifursin_techtalk_slides.pdf) ]
 
 ### Documentation
 
-**We plan to rewrite and simplify the CM documentation and tutorials based on user feedback in Q2 2024 - please stay tuned for more details**.
+**MLCommons is updating the CM documentation based on user feedback - please stay tuned for more details**.
 
 * [CM Getting Started Guide and FAQ](docs/getting-started.md)
   * [Common CM interface to run MLPerf inference benchmarks](docs/mlperf/inference)
@@ -79,14 +72,20 @@ CK consists of several ongoing sub-projects:
 * [CM and CK history](docs/history.md)
 
 
+### Citing this project
+
+Please use this [BibTex file](citation.bib).
 
 ### Acknowledgments
 
-This open-source technology is being developed by the [MLCommons Task Force on Automation and Reproducibility](https://github.com/mlcommons/ck/blob/master/docs/taskforce.md)
-as a community effort based on user feedback. 
+The open-source Collective Knowledge (CK v1,v2) and Collective Mind automation frameworks (CM) were developed by [Grigori Fursin](https://cKnowledge.org/gfursin)
+and donated to MLCommons to benefit everyone. You can learn more about the motivation behind this project from the following presentations:
 
-We would like to thank all [volunteers, collaborators and contributors](https://github.com/mlcommons/ck/blob/master/CONTRIBUTING.md) 
-for their support, fruitful discussions, and useful feedback! 
+* ACM REP'23 keynote about the MLCommons CM automation framework: [ [slides](https://doi.org/10.5281/zenodo.8105339) ] 
+* ACM TechTalk'21 about automating research projects: [ [YouTube](https://www.youtube.com/watch?v=7zpeIVwICa4) ] [ [slides](https://learning.acm.org/binaries/content/assets/leaning-center/webinar-slides/2021/grigorifursin_techtalk_slides.pdf) ]
 
+We would like to thank all 
+[volunteers, collaborators and contributors](https://github.com/mlcommons/ck/blob/master/CONTRIBUTING.md) 
+for their support, fruitful discussions, and useful feedback! 
 We thank the [cTuning foundation](https://cTuning.org), [cKnowledge.org](https://cKnowledge.org)
 and [MLCommons](https://mlcommons.org) for sponsoring this project!

citation.bib

@@ -0,0 +1,21 @@
+@article{doi:10.1098/rsta.2020.0211,
+    author = {Fursin, Grigori},
+    title = {Collective knowledge: organizing research projects as a database of reusable components and portable workflows with common interfaces},
+    journal = {Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences},
+    volume = {379},
+    number = {2197},
+    pages = {20200211},
+    year = {2021},
+    doi = {10.1098/rsta.2020.0211},
+    URL = {https://royalsocietypublishing.org/doi/abs/10.1098/rsta.2020.0211},
+    eprint = {https://royalsocietypublishing.org/doi/pdf/10.1098/rsta.2020.0211},
+    howpublished = {https://doi.org/10.1098/rsta.2020.0211}
+}
+
+@misc{acm_rep_23_cm_keynote,
+    author = {Fursin, Grigori},
+    year = "2023",
+    booktitle = "{Keynote at the 1st ACM conference on reproducibility and replicability (ACM REP'23)}",
+    title = "Collective Mind: toward a common language to facilitate reproducible research and technology transfer",
+    howpublished = {https://doi.org/10.5281/zenodo.8105339}
+}

cm/README.md

@@ -214,7 +214,7 @@ and how to implement and share new automations in your public or private project
 
 ### Documentation
 
-**We plan to rewrite and simplify the CM documentation and tutorials based on user feedback in Q2 2024 - please stay tuned for more details**.
+**MLCommons is updating the CM documentation based on user feedback - please stay tuned for more details**.
 
 * [News](../docs/news.md)
 * [Getting Started Guide and FAQ](../docs/getting-started.md)
@@ -228,18 +228,20 @@ and how to implement and share new automations in your public or private project
 
 [Apache 2.0](LICENSE.md)
 
-### Copyright
+### Citing this project
 
-2022-2024 [MLCommons](https://mlcommons.org)
+Please use this [BibTex file](https://github.com/mlcommons/ck/blob/master/citation.bib).
 
-### Get in touch
+### Acknowledgments
 
-Collective Mind workflow automation framework and Collective Knowledge Playground are being developed 
-by the [MLCommons Task Force on Automation and Reproducibility](https://github.com/mlcommons/ck/blob/master/docs/taskforce.md)
-as a community effort. Volunteers are very welcome to help with this community project!
+The open-source Collective Knowledge (CK v1,v2) and Collective Mind automation frameworks (CM) were developed by [Grigori Fursin](https://cKnowledge.org/gfursin)
+and donated to MLCommons to benefit everyone. You can learn more about the motivation behind this project from the following presentations:
 
-### Acknowledgments
+* ACM REP'23 keynote about the MLCommons CM automation framework: [ [slides](https://doi.org/10.5281/zenodo.8105339) ] 
+* ACM TechTalk'21 about automating research projects: [ [YouTube](https://www.youtube.com/watch?v=7zpeIVwICa4) ] [ [slides](https://learning.acm.org/binaries/content/assets/leaning-center/webinar-slides/2021/grigorifursin_techtalk_slides.pdf) ]
 
-CK and CM are community projects based on the feedback from our users and MLCommons members.
-We would like to thank all [collaborators and contributors](https://github.com/mlcommons/ck/blob/master/CONTRIBUTING.md) 
+We would like to thank all 
+[volunteers, collaborators and contributors](https://github.com/mlcommons/ck/blob/master/CONTRIBUTING.md) 
 for their support, fruitful discussions, and useful feedback! 
+We thank the [cTuning foundation](https://cTuning.org), [cKnowledge.org](https://cKnowledge.org)
+and [MLCommons](https://mlcommons.org) for sponsoring this project!