Bridges is a uniquely capable resource for empowering new research communities and bringing together HPC, AI and Big Data.
The Approach to Bridges
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.
Unlike traditional supercomputers, Bridges supports Hadoop and Spark, modern tools that enable processing of large data sets in distributed computing environments
Web Servers
Web Server Nodes host gateways to community applications and provide access to community datasets..
Graphical Processing Units accelerate a wide range of application.
Extreme Memory
Bridges’ very large shared memory is excellent for memory-intensive applications such as machine learning, graph analytics, genome sequence assembly and in-memory databases.
Through PSC’s own consulting staff and the XSEDE ECSS program, experts with mastery in a variety of HPC areas stand ready to help you advance your research.
Communities / Use Cases
The communities represented here are not all inclusive of the communities we expect Bridges to serve. Because Bridges is a uniquely capable resource it will empower new research communities and bring together HPC and Big Data in new ways. How will you use Bridges? Here are a few possibilities: Regular memory nodes; Persistent databases; AI and deep learning software; Extreme shared memory nodes; Hosted data collections; Gateways; Application packages; GPUs; Hadoop and Spark environments for data mining and machine learning tasks.
For more information about getting started on Bridges, see the "Applying for a Bridges account" FAQ. If you would like to hear more about Bridges' capabilities or discuss how you can take advantage of Bridges, call us at 412-268-4960 or email bridges@psc.edu.
Bridges and Bridges-AI offer exceptional capabilities for critical areas of research. Specific, unique strengths include AI, genomics, and collaborative workflows.
