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Info

To request an IDAS account for research use, please fill out the following Workflow form: https://workflow.uiowa.edu/form/idas-account. 


Table of Contents

Accessing Jupyter Notebook for Python, R, and Julia

Once you get access as an IDAS user, here is the process for accessing the system:

  1. Open any web browser. 
  2. Go to https://notebooks.hpc.uiowa.edu/. 
  3. Click the Interactive Research link. 
  4. Log in using your HawkID and password.
  5. You will be asked to authenticate the login with Duo. More information about Duo can be found here.
  6. In the Spawner Options page, fill in values that best fit your needs. 
    1. The number of available CPU cores ranges from 2 to 32, while the amount of RAM ranges from 4 GB to 120 GB. You can also select an option with GPU. 
    2. Under Mount HPC Home, selecting Yes will mount your Argon home and allow you to access the files stored there.
    3. Under LSS Shared and LSS Dedicated, enter the paths to the Large Scale Storage (LSS) shares that you want to be mounted for use by the IDAS instance. 
      1. If your instance fails to spawn, please check that the share names are correct.
      image2019-12-18_16-41-3.png


    4. Please note that Python, R, and Julia each have their own container image. For example, to start a Julia instance, please select one of the three options for Julia under IDAS Image in the Spawner Options form.


  7. Click the Spawn button. A new instance will be created.
  8. After the instance has been created, you will see your IDAS home directory. If this is your first time accessing IDAS, your home directory will be empty.

  9. Once you finish your job with the IDAS instance, it is recommended that you manually stop the server, so that you can quickly release the resources you have been using and get them ready for use by other users. You can stop the instance by clicking the Control Panel button at the top right corner and then clicking the Stop My Server button. You will not lose any files by doing so, as long as you save them.

    Warning

    Your session will automatically end after being idle for 18 hours. The session will not end if being active. 



Accessing RStudio for R

Once you get access as an IDAS user, here is the process for accessing the system:

...