The Approach to Bridges
Apply to Bridges
Getting started on Bridges is easy; just choose your on-ramp
Visit the User Guide for detailed instructions on accessing and using Bridges.
Check your usage, add a user, request VMs and other account specific functions.
Check our FAQ for more information.
Unlike traditional HPC systems, Bridges enables you to work interactively as you would on your laptop.
Virtualization provides a dedicated space for interactivity and allows you to customize your software and environments.
Gateways allow you to launch jobs, orchestrate complex workflows and manage data from your browsers.
Bridges’ dedicated database nodes power persistent relational and NoSQL databases so they are always available to you.
Unlike traditional supercomputers, Bridges supports Hadoop and Spark, modern tools that enable processing of large data sets in distributed computing environments
Web Server Nodes host gateways to community applications and provide access to community datasets..
Graphical Processing Units accelerate a wide range of application.
Bridges’ very large shared memory is excellent for memory-intensive applications such as machine learning, graph analytics, genome sequence assembly and in-memory databases.
A robust collection of applications and tools allows you to focus on analysis instead of coding.
Your research is supported by rapid access to both public data collections and those you host on Bridges for the use of your project or collaboration.
PSC’s experts can optimize the transfer of your large data sets to Bridges’ available Petabytes of storage at no charge.
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.
- Because Bridges is a uniquely capable resource it will empower diverse research communities and bring together HPC and Big Data in new ways. Here are a few examples of what researchers are using Bridges for: 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.
- Bridges will comprise 3 classes of compute nodes with additional dedicated nodes for databases, webservers and data transfer. Several types of filesystems with different functions will be available. Bridges components will be interconnected by the Intel Omni-Path Fabric. More information on Bridges hardware architecture can be found here.
- Requests for Startup allocations are accepted at any time. They are the easiest way to get started with XSEDE resources and are recommended for all new XSEDE users. See XSEDE Allocations page for more information. Requests for Research allocations are accepted four times a year: Mar 15 - Apr 15, Jun 15 - Jul 15, Sep 15 - Oct 15, Dec 15 - Jan 15
- Request an allocation on Bridges through the XSEDE User Portal. You will need to create an XSEDE portal account before you can apply if you don't already have one.