The Pittsburgh Supercomputing Center (PSC) designed, deployed, and is operating Bridges, a high-performance, data-intensive computing resource that integrates a uniquely flexible software environment, advanced memory technologies, CPUs and GPUs, and high-performance storage via a powerful new interconnection network to empower new communities, bring desktop convenience to high-performance computing (HPC), connect to campuses, and allow users to intuitively express complex workflows.
Bridges already serves a number of gateways such as Galaxy, the Neuroscience Gateway, GenePattern, SEAGrid, and Chem Compute. Additional gateways are welcome.
Bridges supports popular infrastructure for developing gateways including, for example, SciGaP, Singularity containers, OSG-style workflows, and Globus Online. Bridges features dedicated nodes for databases and web services, making it an ideal host for gateways, and its diversity of compute and storage resources also makes it a strong choice for a computational back-end.
Webinar: Hosting Gateways on Bridges, a Converged HPC, AI, and Big Data Platform
August 8, 2018
Hosting Gateways on Bridges, a Converged HPC, AI, and Big Data Platform
Presented by Sergiu Sanielevici, Director, User Support for Scientific Applications, Pittsburgh Supercomputing Center
Bridges converges high-performance computing (HPC), artificial intelligence (AI), and Big Data and offers a familiar and exceptionally flexible user environment, applicable to whatever data analytics or simulation exceed groups’ local capabilities. Supported by NSF award 1445606, Bridges is designed to enable communities and applications that traditionally have not used high performance computing (HPC). Science gateways provide a particularly effective means for bringing the power of HPC and high performance data analytics (HPDA) to domain experts and students having little or no exposure to HPC, HPDA, or even Linux. To drive science gateways, Bridges provides dedicated hardware for running persistent databases and web servers, together with virtual machines (VMs) and containers for provisioning specific, secure software environments. In this overview, we will describe the design and features of Bridges that are conducive to deploying science gateways. We will also highlight The Causal Web as an example that leverages key elements of HPDA (specifically, causal analysis using Bridges’ large-memory nodes) and Big Data.
Questions about or seeking help with Bridges? Email firstname.lastname@example.org.
Resources mentioned during the webinar:
- Bridges User Guide
- XSEDE Resource Allocation information
- Paper about a science gateway using Bridges: