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Once you receive an email confirming that your IDAS account is ready, follow the steps below to spawn start an instance and start using IDAS session.

1. Open any web browser. 

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4. Authenticate the login with Duo. More information about Duo can be found here.

5. Click the blue button "Start My Server".

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Troubleshooting notes

Instead of Start My Server, do you see a red button Stop My Server, like in the screenshot below?

image-20241017-184242.pngImage Added

This means that your IDAS session is already running. From here, you have 2 options:

6. Fill out the Server Options form, using the instructions on the form. Please also see the notes below.

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  • If you are not using GPU, choose "None". This is the default selection.

  • If you have GPU-enabled code, select the type of GPU that you want to use. For more information, please see Using GPUs on IDAS.

  • GPUs are a finite resource on IDAS and assigned on a first come first served basis. Please request a GPU only if you need to use it and shut down your IDAS server when you are finished so that other users can share the resources.

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e) LSS Shared:

  • If you have Large Scale Storage (LSS) shares that you want to use with your IDAS instancesession, enter their paths under "LSS Shared" or "LSS Dedicated". Leave these fields blank otherwise. 

    • Please check that the share names are correct.

    • Multiple shares can be separated by a comma. For example: SHL-BUG,SHL-NBS

f) LSS Dedicated:

  • If you have Large Scale Storage (LSS) shares that you want to use with your IDAS instancesession, enter their paths under "LSS Shared" or "LSS Dedicated". Leave these fields blank otherwise. 

    • Please check that the share names are correct.

    • Multiple shares can be separated by a comma.

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  • Under IDAS Image, choose the programming language that you want to use with IDAS. IDAS currently has multiple versions of R, Python, and Julia available

  • If you are not running code that needs CUDA, you do not need to choose a CUDA version.

Under IDAS Image, what’s the difference between the R and RStudio instance types?

  • Choose an RStudio option, such as IDAS-R-RStudio-4.4.1, to start RStudio.

  • Choose an R option, such as IDAS-R-4.4.1, to start JupyterLab. After the IDAS session has started:

    • Click the R tile under Notebook to start a Jupyter Notebook with R.

    • Click the RStudio tile under Notebook to start RStudio.

For more information, please see RStudio in IDAS.

image-20240624-211722.png

7. Click the Start button. A new IDAS instance session will be created. This may take several seconds.

8. After the instance session has been created, you will see your IDAS home directory. If this is your first time accessing IDAS and you haven't uploaded any files, your home directory will be empty.

9. More  For more information on about using IDAS can be found hereIDAS, please see Using IDAS. 

10. Once you finish your job with the IDAS instancesession, please shut down the instancesession, so that resources could be used by other IDAS users. More information on shutting down an IDAS instance can be found hereFor more information about stopping or restarting your IDAS session, please see https://uiowa.atlassian.net/wiki/spaces/hpcdocs/pages/76514933/Accessing+IDAS+for+Research+Use#Restarting-your-IDAS-session.

Warning

Your IDAS session will be automatically terminated if it has been idle for 18 hours with no activities.

IDAS was originally designed for interactive work, so “activities” include logging into IDAS, clicking on the IDAS tab, and interacting with the IDAS interface in some way, such as uploading, downloading, and managing your files. Having code running doesn’t count as an interactive activity. If a user hasn’t logged into IDAS for 18 hours, their session will be automatically stopped to release resources for other users.

Restarting your IDAS session

When to restart your IDAS session?

You might want to restart your IDAS session in one of the following scenarios:

  • You want to change the CPU cores, RAM, or GPU available for your IDAS session.

  • Your current IDAS session isn’t connected to your Argon home directory or LSS shares, and you want to mount your Argon home directory or LSS shares in your IDAS session.

  • You want to change to a different IDAS image, such as:

    • changing from Python to R or Julia

    • changing to a specific software version, such as changing from R 4.0 to R 4.4

    • changing to an IDAS image that has CUDA, such as changing from R 4.4 without CUDA to R 4.4 with CUDA.

  • You are working with our team to troubleshoot an issue, and we have recommended that you restart your IDAS session.

  • You are finished with your tasks on IDAS. In this case, shutting down your IDAS session will release resources to other users. This is especially helpful if your session was using a GPU, since GPUs on IDAS are limited and available on a first come first served basis.

Steps to restart your IDAS session

1. Save any changes to the scripts, datasets, or files that you want to save. 

2. In your web browser, navigate to https://idas.uiowa.edu/research/hub/home

3. Click the red button Stop My Server.

Screenshot 2024-01-16 133249-20240116-183249.pngImage Added

4. Wait a few seconds for the blue button to change to Start My Server.

Screenshot 2024-01-16 133207-20240116-183207.pngImage Added

5. Click Start My Server to log in to IDAS again if you want to continue using IDAS. Otherwise, if you are done with IDAS, close your browser tab. 

Switching between JupyterLab, Jupyter Notebook, and RStudio

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