NCSA builds high-performance storage solution

By leveraging advanced computing to accelerate scientific discovery, the National Center for Supercomputing Applications (NCSA), located at the University of Illinois at Urbana-Champaign, has deployed an investment-based, centralized compute and storage environment – a “storage condo” – as part of the Illinois Campus Cluster Program, powered by DataDirect Networks (DDN) SFA® high-performance storage.

  • 9 years ago Posted in

As funding for mid-range research computing programs becomes more competitive, researchers are turning to centralized computing and storage systems to achieve economies of scale.

In this type of approach, referred to as a “condo” model, principal investigators and faculty can use their own funding to procure compute and storage resources that fit in a shared infrastructure. The savings achieved from the consolidated purchasing, shared facilities and centralized administration of the condo model provide users much greater flexibility to focus on research projects as compared to building their own environment.

Accordingly, 22 research teams at the University of Illinois have co-invested in the Illinois Campus Cluster Program‘s new condo-style campus cluster to support diverse research areas, including astronomy, physics, chemistry and engineering. Ever-increasing research interest across the University of Illinois campus likely will result in doubling capacity on the DDNTM platform to more than two petabytes of storage in the near future.

With DDN technology, NCSA has optimized the Illinois Campus Cluster Program‘s storage for a varied mix of compute workloads and shortened project start-up times while achieving major economies of scale with centralized computing systems, data center facilities and support operations.


DDN Fortifies Condo Foundation with Industry-Leading Performance & Scalability

With DDN SFA10K and SFA12K storage, NCSA successfully accommodates multiple generations of clusters in a single environment with one queuing system, and a single storage pool is visible and available to all nodes.

DDN works seamlessly with NCSA’s site-wide parallel file system to enable researchers to communicate and move data between clusters reliably and securely.

The efficient capacity management and scalability of DDN storage gives NCSA the ability to evolve and expand storage resources quickly as more research groups buy into the condo model.
 

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