Skip to main content

R Studio

To launch an R Studio session select Interactive apps from the top menu bar and select R Studio from the dropdown. 

Screenshot from 2025-07-09 11-14-33.png

Once in the R Studio spawner page you will need to fill in the following fields:

  • Account: your GRIT account name (generally the same as your netID)
  • Partition: grit_nodes is the default 
  • Job Duration: set a number of hours for your Jupyter Notebook to run, after this expires your job will be stopped.
  • CPUs: set the number of CPU cores to be allotted for this task, with a maximum of 24. (this maximum is selected so as to not consume 100% of the cores on any of the HPC systems in the GRIT stack)
  • RAM: set the amount of RAM in gigabytes available to this task, with a maximum of 256GB. (this maximum is selected so as to not consume 100% of the RAM on any of the HPC systems in the GRIT stack)
  • Job Name: this field is optional and may be used to differentiate tasks if multiple are running under the same account. 

Screenshot from 2025-07-09 11-15-14.png

Once those fields are completed select the launch button. This will return you to the My Interactive Sessions page and show the currently spawned job as well as any past jobs that have been completed. It will take a few seconds for the job to launch as long as there is available resources on an HPC host. If there are not enough free resources on any host the job will time out after 1 minute:

Screenshot from 2025-05-01 16-47-05.png

If the job spawns successfully the session window will update with a Connect to R Studio button, a host button, and a delete button:

Screenshot from 2025-07-09 11-15-46.png

  • The Connect to R Studio button will take you to your R Studio session
  • The Host button will take you to a terminal session on the HPC host your job is running on
  • The Delete button will immediately close your R Studio session

    NOTE! you can also return to the rstudio session web page by using the 'Connect to R Studio' button.
Back to top