Wharton Computing retires Grid, launches new HPC cluster

Last week, the Wharton Grid, after years of service, crunched its last data set. In its place is the School’s brand-new High Performance Computer Cluster system (HPCC), offering the fastest available processing cores – 256 of which are already online, with another 256 to come, reports Sr. IT Project Leader Gavin Burris.

The 32-node, 512-core Linux cluster environment is designed to to harness high-performance, data-parallel processing across a large set of tightly integrated hardware – complete with dedicated networking and storage for any applications that use big data.

Simply put, the HPCC system is a huge boon for the School’s academic-research mission, providing access to advanced computational hardware and software for Wharton faculty, their collaborators and research assistants, and the School’s doctoral candidates. Wharton’s HPCC users now have access to a large number of scientific-, mathematic-, and analytic-based software, including Matlab, Mathematica, Python, R, Stata, and SAS.

Don’t have a Wharton HPC account? Don’t worry! Just fill out the HPC Account Application, and you’ll be well on your way to acquiring system Access. Once you have an HPC account, you can review the software/job scheduler, as well as copy files and get details about the Storage environment, such as quotas or supported file-transfer methods.

For more information on Wharton’s HPC Cluster, a comprehensive overview can be found here. If you have questions about other cloud HPC resources, contact the R&I Research Computing team via email.