The cluster leverages specialized HPC hardware and software components, including Bright Cluster Manager, Slurm, and Apptainer, to provide a powerful computing environment that faculty and students can utilize to support advanced research projects and to facilitate collaboration and innovation across a range of disciplines. Slurm is used for job scheduling and resource management. Singularity enables the use of containerized applications, allowing users to easily deploy software with their dependencies and to run applications in consistent environments. Together, these tools enable the cluster to support a wide range of computational workloads, including ML, deep learning, data analytics, modeling, and scientific simulations.

Once fully operational, faculty, staff, and students at Hofstra University, Adelphi University, and Nassau Community College will be able to request access to the Star HPC cluster. Requests may be subject to a review process with approval based on academic merit, resource availability, or other criteria. Resource allocation entitlements may vary based on institutional affiliation, department, grant status, funding contributions, project involvement, or association with sponsored research. Resource allocation policies will be reviewed periodically and may be adjusted based on changes in funding or resource demands.

• Acceptable Use Policy

• Account Policies