Academic Technology offers faculty and students access to a centrally managed High-Performance Computing (HPC) cluster designed to support large-scale workflows that benefit from enhanced computational power.

Cluster Specifications

Additional Features

Network: InfiniBand (HDR/Ethernet 200 Gb/s).

Operating System: Rocky Linux 8.9.

Software: Slurm, OpenMPI, GCC, and CUDA (multiple versions available via modules; available versions may change), Kraken, SPAdes, LAMMPS, Vasp, hdf5-2.1.1, MATLAB.

How to Get Started

• Accessing the HPC cluster
• Job submission using Slurm
• Getting Started with JupyterHub

Why Use HPC?

• Speed: Process data and run computations faster than traditional computing environments.
• Efficiency: Handle large datasets and complex simulations more effectively.
• Parallel workloads: Run workloads that can be divided into many tasks (e.g., MPI, large analyses, ML training).
• Resource-intensive applications: Support applications requiring significant compute, memory, or GPU resources (e.g., large-scale genome sequencing data).

Recommended Uses

• Scientific research: Bioinformatics, chemistry, astrophysics, and other research requiring simulation or large-scale analysis.
• Engineering: Design, modeling, and testing workflows.
• Large-scale data processing: Big data analytics, machine learning, and AI workloads.

If you are interested in accessing HPC for your research, submit a request via ServiceNOW or email at@sfsu.edu. This will usually lead to a brief introductory meeting with our systems team to discuss your research needs.

Note: All students require faculty sponsorship. Faculty must submit a request on the student's behalf for access to be granted.