Cluster Computing

NYU High Performance Computing (HPC)

The mission of NYU's High Performance Computing (HPC) Service is to enable and support NYU faculty, researchers and students in their research by providing advanced computing technologies. It is home to several high performance clusters and high-speed networks equipped with a wide variety of research software packages. HPC resources are open to NYU faculty and staff, and faculty-sponsored students, and may be used for class instruction. ITS is also available to partner with faculty as they seek funding for research with substantial technology components.

Accounts

In order to use NYU HPC resources you must have an account on each cluster or resource you are planning to work on. Students require the sponsorship of an eligible NYU faculty member to work on the clusters. For details on how to get an account go here.

Clusters

NYU HPC maintains and manages three computer clusters for a total of 382 compute nodes and 12.92 TB of total memory. (See more technical details here.) Furthermore, specific info about the three available clusters --and which one should be used for different type of projects-- can be found here. For the purpose of illustration, to run Stata, one would use the Union Square (USQ) Cluster, and for R, one would use either the USQ or the Cardiac Cluster.

For information about running a particular job, please refer to the NYU HPC Getting Started and Running Jobs. A nice example on how to run a Stata .do file can also be found here.