From 04e6054b284917a62ea3d2a546e80712b8b80a30 Mon Sep 17 00:00:00 2001 From: changhai0109 Date: Thu, 7 May 2026 13:46:10 -0400 Subject: [PATCH] Add resources section and citation details to README Added a resources section with links to the Chakra Wiki and Traces Library, along with citation information for the related paper. --- README.md | 18 ++++++++++++++++-- 1 file changed, 16 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 7583f6e9..9723bb9d 100644 --- a/README.md +++ b/README.md @@ -6,12 +6,26 @@ This is a repository of Chakra schema and a complementary set of tools and capab Chakra is under active development as a [MLCommons](https://mlcommons.org/en)® research project. Please see [MLCommons Chakra Working Group](https://mlcommons.org/en/groups/research-chakratracebench/) for more details for participating in this effort. -A detailed description of the original motivation and guiding principles can be found [here](https://arxiv.org/abs/2305.14516). The paper was published prior to Chakra becoming a MLCommons project. Please cite this repository to refer to the latest Chakra schema and tools. - ## Installation Check out [`USER_GUIDE`](USER_GUIDE.md) for details. +## Resources + +Please fine following useful resources about Chakra: +- [Chakra Wiki](https://github.com/mlcommons/chakra/wiki) +- [Chakra Traces Library](https://drive.google.com/drive/folders/1r6OngjmeEZkYezOW_7h6nG-0DD-rfxkI?usp=drive_link) + +A detailed description of the original motivation and guiding principles can be found [here](https://arxiv.org/abs/2305.14516). The paper was published prior to Chakra becoming a MLCommons project. Please cite the following paper when referring to the latest Chakra schema and tools. +```bibtex +@inproceedings{sridharan2026mlcommonschakra, + title = {MLCommons Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces}, + author = {Sridharan, Srinivas and Balogh, Andy and Beckmann, Bradford M. and Coutinho, Brian and Feng, Louis and Fu, Sheng and Gao, Sanshan and Garakani, Mehryar and Heo, Taekyung and Kanter, David and Ladd, Josh and Li, Ziwei and Liu, Winston and Man, Changhai and Mihailescu, Dan and More, Spandan and Park, Joongun and Ramachandran, Ashwin and Ramakrishnaiah, Vinay and Rashidi, Saeed and Reddi, Vijay Janapa and Sharma, Puneet and Tian, Phio and Won, William and Wu, Hanjiang and Xu, Huan and Yoo, Jinsun and Krishna, Tushar}, + booktitle = {Proceedings of the Ninth Annual Conference on Machine Learning and Systems}, + year = {2026} +} +``` + ## License Chakra is released under the MIT license. Please see the [`LICENSE.md`](LICENSE.md) file for more information.