The Florida State University

The Florida State University

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Prof. David A. Kopriva, expert in spectral element methods for compressible flows is the principal investigator of SSEMID representing the Florida State University (FSU) (Mathematics Department).

Florida State University's 16 colleges offer more than 275 undergraduate, graduate, doctoral, professional and specialist degree programs, including medicine and law, covering a broad array of disciplines critical to society today. Each year the University awards over 2,000 graduate and professional degrees in 88 programs, master's degrees in 102 programs, advanced master's/specialist degrees in 19 programs, doctorates in 67 programs and two professional degrees.

The Florida State University Mathematics Department has a 1 gigabit connection to the campus backbone, which in turn has several high speed connections to the Internet. We support all connection protocols popular within the research community. Our department computer pool consists of a heterogeneous mixture of Sun, Apple, and PC computers. Our department IT infrastructure is built upon Solaris, Linux, and FreeBSD servers. Both of our graduate computer labs offer Sun Solaris/Opteron workstations for student use.

Compute resources within the department exist in several forms. Small jobs are often run on graduate workstations. Jobs can run on single machines, or several via parallel resources such as MPI. For larger jobs, the department has two computer clusters. The first cluster consists of 64 2.0GHz Opteron cores with 1gb of RAM each, using a Myrinet high speed interconnect. The second cluster offers both standard Opteron computer cores and NVIDIA GPUs. It has 88 2.4GHz Opteron cores with 1gb RAM each, and 16 NVIDIA Tesla C1060 computer processors (240 cores and 4gb G-RAM per Tesla), and uses an Infiniband high speeds interconnect.

Commercial scientific software resources include Mathematica, MATLAB, Maple, IMSL, IDL, and Exponent Graphics. Several of these packages can be used on all desktop architectures currently supported within our department. A wide variety of open source software utilities and packages are also available for use. Full support for all popular programming environments is available on all platforms.


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