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Update README.md to remove links to DevCloud now that that is not available
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README.md

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@@ -116,7 +116,7 @@ all of the exercises.
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| Implementation | Supported Platforms | Supported Devices | Required Version |
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|----------------|---------------------|-------------------|------------------|
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| DPC++ | [Intel DevCloud](#connecting-to-devcloud-via-ssh) <br> Windows 10 Visual Studio 2019 (64bit) <br> Red Hat Enterprise Linux 8, CentOS 8<br> Ubtuntu 18.04 LTS, 20.04 LTS (64bit)<br> Refer to [System Requirements][oneAPI-system-requirements] for more details | Intel CPU (OpenCL) <br> Intel GPU (OpenCL) <br> Intel FPGA (OpenCL) <br> Nvidia GPU (CUDA)* | 2021.4 |
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| DPC++ | Windows 10 Visual Studio 2019 (64bit) <br> Red Hat Enterprise Linux 8, CentOS 8<br> Ubtuntu 18.04 LTS, 20.04 LTS (64bit)<br> Refer to [System Requirements][oneAPI-system-requirements] for more details | Intel CPU (OpenCL) <br> Intel GPU (OpenCL) <br> Intel FPGA (OpenCL) <br> Nvidia GPU (CUDA)* | 2021.4 |
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| AdaptiveCpp | Any Linux | CPU (OpenMP) <br> AMD GPU (ROCm)*** <br> NVIDIA GPU (CUDA)<br> Intel GPU (Level Zero)<br> Intel CPU, GPU (OpenCL) | 23.10.0 from Nov 1, 2023 or newer |
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\* Supported in open source project only
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You can also use a [Docker* image][docker-container-oneapi].
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If you are using the [Intel DevCloud][intel-devcloud] then the latest version of DPC++ will
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already be installed and available in the path.
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#### Installing AdaptiveCpp
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You will need a AdaptiveCpp (formerly hipSYCL) build from September 2021 or newer. Refer to the [AdaptiveCpp installation instructions][adaptivecpp-installing] for details on how to install AdaptiveCpp.
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### Getting started with compiling DPC++
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First you have to ensure that your environment is configured to use DPC++ (note
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if you are using the Intel DevCloud then you don't need to do this step).
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First you have to ensure that your environment is configured to use DPC++.
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On Linux simply call the `setvars.sh` which is available in `/opt/intel/oneapi`
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for sudo or root users and ~/intel/oneapi/ when installed as a normal user.
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Hosted by tech.io, this [SYCL Introduction](https://tech.io/playgrounds/48226/introduction-to-sycl/introduction-to-sycl-2) tutorial introduces the concepts of SYCL. The website also provides the ability to compile and execute SYCL code from your web browser.
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## Connecting to DevCloud via SSH
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* Start by creating an [Intel DevCloud account][intel-devcloud] account if you do not already have one and login in.
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* Initialize the SSH configuration by clicking on [Automated Configuration](https://devcloud.intel.com/oneapi/documentation/connect-with-ssh-linux-macos/) and follow the instructions to setup the SSH configuration file.
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* SSH into DevCloud (```ssh devcloud```)
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## Connect to DevCloud via Jupyter Notebooks
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* Start by creating an [Intel DevCloud account][intel-devcloud] account if you do not already have one and login in.
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* Go to [training](https://console.cloud.intel.com/training) and click on ```Launch JupyterLab´´´
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* In the ```Jupiter Notebook``` select *File->New->Terminal*
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You are now ready to start with the first [lesson][lesson-1-slides]. Enjoy !
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## Building the Exercises for DPC++
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* Execute the following command to download SYCLAcademy:
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```sh
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git clone --recursive https://github.com/codeplaysoftware/syclacademy.git
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```
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* If you are using **DevCloud via ssh**, run:
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```sh
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module load cmake
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```
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* To create the code_exercises directory structure with the Makefiles:
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```sh
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[dpcpp-getting-started]: https://software.intel.com/content/www/us/en/develop/articles/installation-guide-for-intel-oneapi-toolkits.html
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[intel-devcloud]: https://consumer.intel.com/intelcorpb2c.onmicrosoft.com/B2C_1A_UnifiedLogin_SISU_CML_SAML/generic/login?entityId=www.intel.com&ui_locales=en
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[docker-container-oneapi]: https://software.intel.com/content/www/us/en/develop/documentation/get-started-with-intel-oneapi-base-linux/top/using-containers.html
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[oneAPI-system-requirements]: https://software.intel.com/content/www/us/en/develop/articles/intel-oneapi-base-toolkit-system-requirements.html
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