Open OnDemand Web Portal
Open OnDemand (OOD) provides access to the HPC and filesystems through your web browser. This is the recommended way of using the HPC for graphical applications (Jupyter Notebook, VisIt, etc.).
OOD It allows you to view, edit, upload and download files, create, edit, submit and monitor jobs, run GUI applications, and connect to the terminal, all via a web browser and with a minimal knowledge of Linux and scheduler commands.
Features#
Open OnDemand is an ongoing NSF-funded project developed at the Ohio Supercomputer Center. Its aim is to provide an easy way for system administrators to provide web browser access for users to their HPC resources.
File Management#
Upload/download files from your web browser, and move/rename/preview files in a unified interface.
Job Management#
Create, save, submit, and monitor jobs from inside your browser.
Shell Access#
If you are familiar with the Linux terminal, you can access it directly from your browser, giving you the full power of the CLI.
Graphical Applications#
Perhaps the most polished feature of OOD is the ability to access graphical applications on compute nodes without installing any additional software.
Connecting to Open OnDemand#
Note
You must be connected to the FSU VPN in order to access to Open OnDemand from off-campus.
Logging In#
- If you're off-campus, make sure that you are connected to the FSU VPN.
- Open your browser and navigate to https://ood.rcc.fsu.edu
- Enter your RCC user account username and password into the login box that appears.
Accessing the Shell#
- From the navigation bar on the top of the page, click Clusters.
- In the drop-down that appears, click >_ HPC Shell Access.
- The shell will open in a new window or tab.
Invoking an Interactive Desktop#
- From the navigation bar on the top of the page, click Interactive Jobs.
- Select RCC Desktop from the drop-down menu.
- Fill out the resource form.
- Select the Slurm Account/partition that you want to use for your job. If you leave this blank, it will run in our genacc_q account/partition.
- Click "Launch"
- When your interactive job has started, click Launch RCC Desktop.
- From here, you can run graphical applications (MATLAB, fastqc, Jupyter, RStudio, etc.) or access the shell.