PSC's Computational Resources
PSC offers a variety of supercomputing-class computational resources.
For the data management options PSC provides, see the storage resources page.
Bridges is a uniquely capable resource for empowering new research communities and bringing together HPC, AI and Big Data. Bridges is designed to support familiar, convenient software and environments for both traditional and non-traditional HPC users. Its richly-connected set of interacting systems offers exceptional flexibility for data analytics, simulation, workflows and gateways, leveraging interactivity, parallel computing, Spark and Hadoop. Bridges includes:
- Compute nodes with hardware-supported shared memory ranging from 128GB to 12TB per node to support genomics, machine learning, graph analytics and other fields where partitioning data is impractical
- GPU nodes to accelerate applications as diverse as machine learning, image processing and materials science
- Database nodes to drive gateways and workflows and to support fusion, analytics, integration and data management
- Webserver nodes to host gateways and provide access to community datasets
- Data transfer nodes with 10 GigE connections to enable data movement between Bridges and XSEDE, campuses, instruments and other advanced cyberinfrastructure
Anton is a special purpose supercomputer designed to dramatically increase the speed of molecular dynamics simulations, allowing biomedical researchers to understand the motions and interactions of proteins and other biologically important molecules over longer time periods than previously possible. Designed and built by D.E. Shaw Research (DRES), the Anton machine hosted at PSC was provided without cost by DESRES for non-commerical use by the national biomedical research community.