add citation

CITATION.cff

+cff-version: 1.2.0
+title: Composable Kernel
+message: >-
+  If you use this software, please cite using the
+  following metadata.
+type: software
+authors:
+  - given-names: Chao
+    family-names: Liu
+    email: chao.liu2@amd.com
+    affiliation: AMD
+  - given-names: Jing
+    family-names: Zhang
+    email: jing.zhang3@amd.com
+    affiliation: AMD
+  - given-names: Letao
+    family-names: Qin
+    email:
+    affiliation: AMD
+  - given-names: Qianfeng
+    family-names: Zhang
+    email:
+    affiliation: AMD
+  - given-names: Liang
+    family-names: Huang
+    email:
+    affiliation: AMD
+  - given-names: Shaojie
+    family-names: Wang
+    email:
+    affiliation: AMD
+  - given-names: Anthony
+    family-names: Chang
+    email:
+    affiliation: AMD
+  - given-names: Chunyu
+    family-names: Lai
+    email:
+    affiliation: AMD
+  - given-names: Illia
+    family-names: Silin
+    email:
+    affiliation: AMD
+  - given-names: Adam
+    family-names: Osewski
+    email:
+    affiliation: AMD
+  - given-names: Poyen
+    family-names: Chen
+    email:
+    affiliation: AMD
+  - given-names: Rosty
+    family-names: Geyyer
+    email:
+    affiliation: AMD
+  - given-names: Hanwen
+    family-names: Chen
+  - given-names: Tejash
+    family-names: Shah
+  - given-names: Xiaoyan
+    family-names: Zhou
+  - given-names: Jianfeng
+    family-names: Yan
+repository-code: 'https://github.com/ROCmSoftwarePlatform/composable_kernel'
+abstract: >-
+Composable Kernel (CK) library aims to provide a programming model for writing
+performance critical kernels for Machine Learning workloads across multiple 
+architectures including GPUs, CPUs, etc, through general purpose kernel 
+progarmming languages, like HIP C++.
+keywords:
+  - 'CK, Composable Kernel, Tensor Coordinate Transformation'
+license: MIT
+license-url: https://github.com/ROCmSoftwarePlatform/composable_kernel/blob/7fc3ed761aa35709d87c8fbbe41dd368648b3541/LICENSE

README.md

@@ -39,7 +39,7 @@ Jianfeng Yan (https://github.com/j4yan), 2021-2022
 Jun Liu (jun.liu@amd.com)
 
 ### Contributors
-Dan Yao, Guangzhao Lu, Raman Jana (https://github.com/ramjana), Jehandad Khan (https://github.com/JehandadKhan)
+Dan Yao (https://github.com/danyao12), Guangzhao Lu, Raman Jana (https://github.com/ramjana), Jehandad Khan (https://github.com/JehandadKhan)
 
 ### Acknowledgement
 CK team works closely with Meta [AITemplate] (link to be added) team (led by Bing Xu, Ying Zhang). Most of the lucrative graph optimization opportunities in ML models were identified by AITemplate team, and we also co-designed many high performance fused kernels for AMD GPUs. Without this collaboration, CK would not reach its current potential.