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You can request a research use account hereTo request an IDAS account for research use, please fill out the following Workflow formhttps://workflow.uiowa.edu/form/idas-account

Table of Contents

Jupyter Notebook for Python, R, and Julia

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  1. Open any web browser. 
  2. Go to https://notebooks.hpc.uiowa.edu/
  3. Click the Interactive Research Use link at the bottom 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. image2019-12-18_16-41-3.pngImage Removed
    3. Selecting HPC home will mount your Under Mount HPC Home, selecting Yes will mount your Argon home and allow you to access the files stored there.
    4. Any LSS shares entered into the LSS fields will also 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 you your instance fails to spawn, please check that the share names are correct.
      image2019-12-18_16-41-3.pngImage Added


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


  7. Click the Spawn button and it will be spawning a new Jupyter Notebook server. You the Spawn button. A new instance will be created.
  8. After the instance has been created, you will see your IDAS home directory which is initially . 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.
    Your session will automatically end after being idle for 18 hours. The session will not end if being active. 

RStudio for R

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.pngImage Added


    4. To start an RStudio instance, please select one of the three options for R under IDAS Image in

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    1. the Spawner

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    1. Options form. RStudio is available with the GPU instances as well.
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  1. Click the Spawn button. A new R instance will be created.
  2. In order to launch RStudio, on the right-hand side, click the New button, then select the RStudio option.

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This will launch an RStudio session, which looks very similar to the local version of RStudio.
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Please contact Giang Rudderham and Cody B Johnson at research-computing@uiowa.edu with any questions or comments.