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Update oneCCL Jupyter Notebook
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Libraries/oneCCL/tutorials/oneCCL_Getting_Started.ipynb

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"## Learning Objectives\n",
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"In this module, the developer will:\n",
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"* Learn different oneCCL configurations inside the Intel® oneAPI toolkit\n",
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"* Learn how to compile a oneCCL sample with different configurations via batch jobs on the Intel® DevCloud for oneAPI or in local environments\n",
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"* Learn how to compile a oneCCL sample with different configurations in local environment\n",
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"* Learn how to program oneCCL with a simple sample\n",
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"* Learn how to port a oneCCL sample from CPU-only version to CPU&GPU version by using DPC++\n",
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"* Learn how to collect VTune™ Amplifier data for CPU and GPU runs\n",
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Once you achieve an all-clear from your compilation, you execute your program on the Intel DevCloud or in local environments.\n",
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"Once you achieve an all-clear from your compilation, you execute your program in your local environment.\n",
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"\n",
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"#### Script - run.sh\n",
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"the script **run.sh** encapsulates the program for submission to the job queue for execution.\n",
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"The script **run.sh** encapsulates the program for execution.\n",
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"The user must switch to the g++ oneCCL configuration by inputting a custom configuration \"--ccl-configuration=cpu\" when running \"source setvars.sh\".\n"
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]
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},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n",
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"#### Submitting **build.sh** and **run.sh** to the job queue\n",
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"Now we can submit the **build.sh** and **run.sh** to the job queue.\n",
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"\n",
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"##### NOTE - it is possible to execute any of the build and run commands in local environments.\n",
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"To enable users to run their scripts both on the DevCloud or in local environments, this and subsequent training checks for the existence of the job submission command **qsub**. If the check fails, it is assumed that build/run will be local."
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"#### Run build.sh and run.sh"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Once you achieve an all-clear from your compilation, execute your program on the DevCloud or in local environments.\n",
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"Once you achieve an all-clear from your compilation, execute your program in your local environment.\n",
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"\n",
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"#### Script - run.sh\n",
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"The script **run.sh** encapsulates the program for submission to the job queue for execution.\n"
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"The script **run.sh** encapsulates the program for execution.\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Submitting **build.sh** and **run.sh** to the job queue\n",
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"Now we can submit the **build.sh** and **run.sh** to the job queue.\n",
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"\n",
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"##### NOTE - it is possible to execute any of the build and run commands in local environments.\n",
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"To enable users to run their scripts both on the Intel DevCloud or in local environments, this and subsequent training checks for the existence of the job submission command **qsub**. If the check fails it is assumed that build/run will be local."
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"#### Run build.sh and run.sh"
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]
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},
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{
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"# Summary\n",
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"In this lab the developer will have learned the following:\n",
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"* Know different oneCCL configurations inside oneAPI toolkit\n",
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"* Know how to compile a oneCCL sample with different configurations via batch jobs on the Intel oneAPI DevCloud or in local environments\n",
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"* Know how to compile a oneCCL sample with different configurations in local environment\n",
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"* Know how to program oneCCL with a simple sample\n",
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"* Know how to port a oneCCL sample from CPU-only version to CPU&GPU version by using DPC++\n",
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"* Know how to collect VTune Amplifier data for CPU and GPU runs"

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