About HPC

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

 

Why Use HPC?

• Speed: HPC clusters process data and perform computations much faster than traditional computing environments.
• Efficiency: HPC efficiently handles large datasets and complex simulations, improving productivity and outcomes.
• Parallel Workloads: HPC is ideal for tasks that can be divided into smaller parallel tasks, such as machine learning models and extensive data analyses.
• Resource-Intensive Applications: HPC supports applications that demand significant computational power, memory, or storage, such as large-scale genome sequencing data).

Recommended uses

• Scientific Research: Fields like bioinformatics, chemistry, and astrophysics can benefit from HPC for complex simulations and data analysis.
• Engineering: HPC aids in the design and testing of new products, enhancing innovation and development.
• Large-Scale Data Processing: HPC is crucial for big data analytics, machine learning, and artificial intelligence applications.

If you are interested in accessing HPC for your research you may 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: we are still in the testing phase of the HPC cluster, which means it is not yet ready for production-level work. The environment is still being fine-tuned, so users may encounter unexpected behavior or downtime. Therefore, any work done during this phase should be considered non-critical, as system parameters are still being adjusted. Thank you for understanding and cooperation!