Accessing the Compute Environment

Accessing the Compute Environment#

Register for Access to the ARM Data Workbench#

Participants who do not already have one should first register for an ARM account. When filling out the form, indicate that you are interested in using ARM’s notebook examples.

You can sign up for an ARM account using this link.

If you already have an ARM account, email clustersupport@arm.gov that you need to be granted access to the workshop or course materials.

Running the Notebooks#

You can either run the notebook using Binder or on your local machine.

Running on Jupyter#

The simplest way to interact with a Jupyter Notebook is through the ARM Jupyter, which enables the execution of a Jupyter Book on ARM infrastructure. The details of how this works are not important for now. Navigate your mouse to the top right corner of the book chapter you are viewing and click on the rocket ship icon, (see figure below), and be sure to select “launch Jupyterhub”. After a moment you should be presented with a notebook that you can interact with. I.e. you’ll be able to execute and even change the example programs. You’ll see that the code cells have no output at first, until you execute them by pressing Shift+Enter. Complete details on how to interact with a live Jupyter notebook are described in Getting Started with Jupyter.

Running on Your Own Machine#

If you are interested in running this material locally on your computer, you will need to follow this workflow:

Clone the https://github.com/ARM-Development/ARM-Notebooks repository:
```
 git clone https://github.com/ARM-Development/ARM-Notebooks
```
Move into the ARM-Notebooks directory
```
cd ARM-Notebooks
```

Create and activate your conda environment from the environment.yml file

conda env create -f environment.yml
conda activate arm-tutorial-dev