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The Research Grid at the Columbia Business School is 25+ node, 300+ CPU Linux grid and cluster environment dedicated to supporting academic research and computing. The Business School's Research Grid provides access to powerful computational tools including; Matlab, Sas, Stata, R and Python on a platform vastly more powerful than can be found on any desktop. Users may run interactive or batch jobs with access to large data sets, fast disk space, RAM multiple CPU cores, and GPU capability. Users may access the Grid via a secure-shell or nxclient for a desktop-like environment. Grid utilization may be viewed via ganglia and users can receive a confirmation email at job completion.
Additional information regarding using the Research Grid can be found on our wiki: http://wiki.gsb.columbia.edu/research
- 30 total nodes (392 cores)
- 1 Tesla M2070 GPU (488 cores)
- Each node has either 8, 12 or 16 Intel Xeon Cores
- Each node has either 32, 96, or 192 GB RAM
- EMC Isilon Shared Storage with 10GB connectivity
- Physically separate storage network • Red Hat Linux 6.4 x86_64
- Redundant power and cooling
- OS: Red Hat Enterprise Linux
- Job Control: Sun Grid Engine v6.2 u5
- C/C++/Java/Fortran Compilers
- Julia Programming Language
- R/Revolution R
- Rstudio IDE
The University, the School, the Libraries, and Centers have collected and purchased a wealth of data that can help faculty to address many research questions across disciplines. Issues pertinent to School databases are dealt with by the School's Databases Committee.
The University’s Watson Library of Business and Economics provides access to nearly 100 electronic data sources for faculty and student use. See a listing of all data sources available through the libraries.
The Wharton Research Data Service (WRDS), available through the Watson Library is comprised of more than two dozen data sets. See a detailed listing of these data sets including explanation of sources and field descriptions.
The Centers and Programs at Columbia Business School often acquire data sets for faculty and student use. These data sources are often stored on restricted servers, but access for research purposes can be arranged by contacting the director of the Center or Program in question.
Faculty members and doctoral students who would like to request access to a database not currently available at Columbia Business School should follow the procedure outlined in the Policy for Requesting New School-Funded Databases.
Congratulations to the
Class of 2014
Best of luck to all of you from the entire Columbia Business School community.
Moving forward, Columbia Business School’s online alumni community will be a resource for you that incorporates social networking technology and enables you to tap into the vast pool of knowledge and experience you share, while keeping in touch with the School.