Academic HPC - Running Jobs Using Open OnDemand

Summary

This guide walks users through the process of submitting jobs to the Academic HPC cluster using Open OnDemand.


Step 1: Log In

(1) Navigate: Go to https://openondemand.uncfsu.edu.

(2) Authenticate: Log in using your university credentials (full email address and password).

Screenshot: Authenticate

Step 2: Access Your Home Directory

(3) From the top navigation bar, choose Files > Home Directory.

Screenshot: Home Directory

Step 3: Create a Project Directory

(4) From the Directory menu, click the + New Directory button and name the new directory.

Screenshot: Creating Project Directory

Step 4: Add/Edit Job Script

(5) Inside the project directory.

(a) Click the Upload button to upload script files.

(b) Click + New File to create a new script file.

(c) Click the Options menu (three vertical dots) next to a file to edit existing script files using the built-in editor.

Screenshot: Adding/Editing Job Script

Step 5: Copy Folder Path

(6) Just above files area, choose Copy path. This path will be used to create the job in the Job Composer.

Screenshot: Copying Job Script

Step 6: Open Job Composer

(7) From the OOD site navigation, click Jobs > Job Composer.

Screenshot: Job Composer

Step 7: Create a New Job

(8) Click New Job > From Specified Path.

Screenshot: New Job

Step 8: Configure the Job

(9) Source path: Paste the folder path you copied earlier.

(a) Name: Enter a descriptive name for your job.

(b) Script name: Enter the name of the job script file (e.g., run_job.sh).

(c) Cluster: From the dropdown, select bronco as the cluster.

(d) Click Save.

Screenshot: Configure Job

Step 9: Submit the Job

(10) Your job will now appear in the Job Composer list. When you are ready, select the job and click Submit.

Screenshot: Submit Job

Step 10: View Job Details

Once the job finishes running, the job status will show Completed, and the Job Details panel will display. 

Screenshot: Job Details

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Open OnDemand (OOD) provides a user-friendly web interface for accessing the Academic High-Performance Computing (HPC) environment, enabling users to run jobs, manage files, and use interactive applications.

Related Services / Offerings (1)

The Academic High-Performance Computing Cluster is a powerful resource designed to enhance teaching and learning experiences.