Rockhopper POD Cluster Beats Amazon

By Tiffany Trader

April 11, 2013

The Rockhopper Penguin on Demand Cluster made its debut November 2011, a collaborative effort to deliver cluster computing as a service in a secure environment. Led by Penguin Computing and Indiana University, the project also included founding user-partners, the University of Virginia, the University of California Berkeley, and the University of Michigan. The cluster has been in production for over a year now, long enough for additional details to emerge on this interesting HPC cloud use case.

Presumably named after a rad-looking species of Penguin, Rockhopper is a bonafide HPC cluster, meaning it is not virtualized. The architecture consists of 11 Penguin Computing Altus 1804 servers each with four 12-core AMD Opteron 6172 processors and 128 GB RAM. The system is located in Indiana University’s Data Center facility, and managed by Penguin on Demand.

As explained in a presentation delivered at the International Plant and Animal Genome Conference in San Diego earlier this year by IU’s Barbara Hallock, Rockhopper’s services are provided by both the National Center for Genome Analysis Support and the partnership between Indiana University and Penguin Computing. Users benefit from the availability of on-demand cycles on a real HPC cluster at a lower price point than less-performant virtualized offerings, such as Amazon’s EC2 cloud.

Penguin lists the fees as follows:

Core Hour $0.09 per core hour
On-Demand Storage $0.10 per average GB-month (monitored daily)
Data Transfer from Disk $20 per transfer

In case you’re wondering where to sign up, you should know that the cluster is only available to researchers at US institutions of higher education (with .edu domain names) or Federally Funded Research and Development Centers (FFRDCs).

Rockhopper was conceived with two main purposes in mind. One, as resource for XSEDE-allocated projects that had used up their award but still required additional computational work, and two, as a launchpad for projects that could potentially scale up to XSEDE in the future. For these reasons, Rockhopper was designed with an “XSEDE-standardized interface” to enable researchers to spend less time on compute and more time engaged in core science tasks.

The system supports a wide assortment of applications including mesoscale atmospheric prediction, genomics, quantum chemistry, and molecular dynamics. Specific applications, by package name, include COAMPS, GAMESS, Galaxy, GROMACS, HMMER, NAMD, OpenFoam, OpenMPI, WRF, and many more, as well as developer tools from Intel and the Portland Group.

Additional details about Rockhopper and on other POD offerings can be accessed in this presentation from SC12.

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