UNIVERSITY OF MIAMI
“Where DDN really stood out is in the ability to adapt to whatever we would need. We have both IOPS-centric storage and the deep, slower I/O pool at full bandwidth. No one else could do that.”
Joel P. Zysman
Director of High Performance Computing
Center for Computational Science at the University of Miami
The University of Miami maintains one of the largest centralized, academic, cyber infrastructures in the US, which is integral to addressing and solving major scientific challenges. At its Center for Computational Science (CCS), more than 2,000 researchers, faculty, staff and students across multiple disciplines collaborate on diverse and interdisciplinary projects requiring HPC resources.
With 50% of the center’s users come from University of Miami’s Miller School of Medicine with ongoing projects at the Hussman Institute for Human Genomics, the explosion of next-generation sequencing has had a major impact on compute and storage demands. At CCS, the heavy I/O required to create four billion reads from one genome in a couple of days only intensifies when the data from the reads needs to be managed and analyzed
Aside from providing sufficient storage power to meet both high I/O and interactive processing demands, CCS needed a powerful file system that was flexible enough to handle very large parallel jobs as well as smaller, shorter serial jobs. CCS also needed to address as much as 10X spikes in storage, so it was critical to scale and support petabytes of machine-generated data without adding a layer of complexity or creating inefficiencies.
Read their success story to learn how high-performance DDN® Storage I/O has helped the University of Miami:
- Establish links between certain viruses and gastrointestinal cancers discovered with computation that were not possible before
- Reduce genomics compute and analysis time from 72 to 17 hours
An end-to-end, high performance DDN GRIDScaler® solution featuring a GS12K™ scale-out appliance with an embedded IBM® GPFS™ parallel file system