add one README for oneCCL tutorials

Author: louie-tsai

Libraries/oneCCL/README.md

@@ -13,7 +13,6 @@ The code samples are licensed under MIT license
 | --------- | ----------------------- | ------------------------------------------------------------ |
 | Component | [oneCCL_Getting_Started](oneCCL_Getting_Started)     | Those C++ & C API example demonstrates basic of oneCCL programming model by invoking different collective operations such as allreduce. |
 | Component | [tutorials](tutorials)     | Hands-on Jupyter notebook tutorials among different topics. |
-| Component | [oneCCL_Getting_Started](oneCCL_Getting_Started.ipynb) |This Jupyter Notebook demonstrates how to compile a oneCCL sample with different releases and how to port a oneCCL sample from CPU-only version to CPU&GPU version by using DPC++ via batch jobs on the Intel oneAPI DevCloud (check below Notice)|
 >  Notice : Please use Intel oneAPI DevCloud as the environment for jupyter notebook samples. \
 Users can refer to [DevCloud Getting Started](https://devcloud.intel.com/oneapi/get-started/) for using DevCloud \
 Users can use JupyterLab from DevCloud via "One-click Login in", and download samples via "git clone" or the "oneapi-cli" tool \

Libraries/oneCCL/tutorials/README.md

@@ -0,0 +1,18 @@
+# Intel oneAPI Collective Communications Library (oneCCL)
+
+Collective Communication Library is a library providing an efficient implementation of communication patterns usedin deep learning.
+
+Github : https://github.com/oneapi-src/oneCCL
+
+## License  
+The code samples are licensed under MIT license
+
+# oneCCL samples
+
+| Type      | Name                 | Description                                                  |
+| --------- | ----------------------- | ------------------------------------------------------------ |
+| Component | [oneCCL_Getting_Started](oneCCL_Getting_Started.ipynb) |This Jupyter Notebook demonstrates how to compile a oneCCL sample with different releases and how to port a oneCCL sample from CPU-only version to CPU&GPU version by using DPC++ via batch jobs on the Intel oneAPI DevCloud (check below Notice)|
+>  Notice : Please use Intel oneAPI DevCloud as the environment for jupyter notebook samples. \
+Users can refer to [DevCloud Getting Started](https://devcloud.intel.com/oneapi/get-started/) for using DevCloud \
+Users can use JupyterLab from DevCloud via "One-click Login in", and download samples via "git clone" or the "oneapi-cli" tool \
+Once users are in the JupyterLab with downloaded jupyter notebook samples, they can start following the steps without further installion needed.