Economics computing at Tulane

• Advice on statistical software


• High-performance computing

The Department of Economics has dedicated computing resources through the Center for Computational Science (CCS). The CCS cluster has 192 cores with 384GB of RAM, a 40GB/s Infiniband network, and a 19TB scratch disk. Of this, our department has priority on one node with 64 cores and 32GB of RAM, five nodes with 8 cores and 16GB of RAM each, and a 5.5 TB storage array. MATLAB 7.7 is available with a variety of packages, including those for parallel processing. A 10-user, 16-core license of Stata-MP 12 is also installed on the server. Email Keith Finlay if you have any questions.



• Obtain a CCS account. Mention economics in the request. Let Keith know when you've received confirmation, he'll get you added to the econ workgroup.
• Using Stata on the CCS server
• Using Matlab on the CCS server

MATLAB packages available:

• Simulink 7.2
• Control System Toolbox 8.2
• Genetic Algorithm and Direct Search Toolbox 2.4
• Image Processing Toolbox 6.2
• MATLAB Compiler 4.9
• Mapping Toolbox 2.7.1
• Neural Network Toolbox 6.0.1
• Optimization Toolbox 4.1
• Parallel Computing Toolbox 4.0
• Signal Processing Toolbox 6.10
• SimPowerSystems 5.0
• Simulink Control Design 2.4
• Statistics Toolbox 7.0
• Symbolic Math Toolbox 5.1
• Wavelet Toolbox 4.3
• Using R on the CCS server
• Using Fortran on the CCS server
• Using the CCS server to backup data
• Queues available on Sphynx

Queue Name	Max Walltime	Memory	Max # Cores / User	Priority	Nodes in Queue	Core / Nodes	Total Cores in Queue
econ_long	300 hrs	32 GB / core	64	High	1	32	128
ccs_short	6 hrs	2 GB / core	128	High	7	32	224
ccs_long	168 hrs	2 GB / core	64	Low	4	32	128

Walltime is human time, regardless of CPU time. The total number of cores available to a user is 128 regardless of the queues in use. This number will increase as more nodes are added to the cluster. User job priority is a function of time-decayed use in the last seven days.