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Computing and Data


Overview

Many faculty and graduate students conduct empirical analysis. This page briefly lists some resources available and provides links to on-line data sources and information about software used by members of the department.

Seawulf cluster

SeaWulf is a computational cluster using top of the line components from Penguin, DDN, Intel, Nvidia, Mellanox and numerous other technology partners. The parallel computing system has over 400 nodes and ~23,000 cores, with peak performance of ~1.86 PFLOP/s available for research computation. For more information about the SeaWulf Cluster, click HERE.

Software

The following links contain information about software which may be of interest to students and faculty. Some of the documentation from other Universities may contain information about running a particular package that may not be appropriate here. However, all of the basic tutorials about reading and writing data files and performing statistical and econometric analysis should be relevant.

Matlab
  • Stony Brook Univeristy provides free Matlab licenses for faculty and students. Matlab licenses are available to download on the Softweb. For more information about downloading and installing Matlab, click HERE.
  • Matlab Documentation
Stata
SAS
SPSS
Fortran
Gauss
IMSL
Maple
Other and Miscellaneous

Data On-Line