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High Performance Computing

The High Performance Computing provides technological and instrumental support to research groups, research centers and laboratories.

The service is intended for research activities requiring scientific computing on high-performance architectures, web services, databases and web pages for research purposes.

The center manages computational clusters, computing infrastructures, workload and storage quota management systems, scientific software, virtual machines, containers and infrastructures for research websites.

Operational requests, such as HPC accounts, hosting and storage areas for research projects, are managed through the dedicated forms.

Features

• Support for scientific computing on high-performance architectures.
• Support for web services, databases and web pages for research activities.
• Management of computational clusters hosted in the machine room of the San Silvestro complex.
• Design and installation of new computing infrastructures.
• Installation of scientific software.
• Management of virtual infrastructures, virtual machines, containers, workload management systems and storage quotas.

Requirements

• Belong to a research group, research center or laboratory carrying out research activities.
• Have needs related to high-performance computing, web services, databases or web pages for research activities.
• Use the dedicated forms to request HPC accounts, hosting or storage areas for research projects.

Designed for

Faculty members

Get started

1. Consult the High Performance Computing Center service page.
2. Check whether the need concerns high-performance computing, web services, databases, research web pages, hosting or storage.
3. Open the “Forms” section.
4. Select the relevant form among HPC account request, computationally intensive hosting, non-computationally intensive hosting or creation of a storage area for a research project.
5. For use of the Trantor cluster, consult the “Wiki” section.
6. Follow the specific documentation available in the Wiki for resources, connecting to nodes, Linux commands, PBS jobs, Singularity, Jupyter Notebook and Conda.