The Department of Statistics provides state-of-the-art computing facilities for graduate student research. The Graduate Student Computing Facility is presently centred on a three Sun Solaris servers and two Window 2003 servers..
The Department currently has a Sun V880 server with eight Ultra Sparc III processors and 24 GBytes of Memory. There is another Sun Z40 server with four dual core AMD processors with 16 Gbytes of memory. The last is a Sunblade 1000 that does file serving email and backups. Connections to the facility are accomplished via the internet with Xwindows.
There are also three student computing areas one for Phd one for Masters and one for Biostatistics students. There workstations are running Microsoft XP and are administratoed from the windows server. The Workstations have Xwindows software to access the Solaris servers. They also have Statistical and Mathematical software thet can be run locally. There network file system on the workstations is also there Unix file system.
The system also has local access six network printers.
The Department makes a good selection of software available to its members. The operating system is Solaris which itself provides a number of the tools used in research. Statistical packages include: R, SAS, Matlab, Maple and Mathematica. Various biostatistical software. Typesetting is done using either TeX, LaTeX or troff.
The workstations software includes Matlab, Minitab, R, Latex, Exceed and Microsoft office software.
The Research Computing facility is also accessible through public and private dial-in facilities. In addition, the facility is connected to the University of Toronto backbone and therefore accessible from the Internet.
The Department has traditionally been a leader on campus in experimenting with the latest in hardware and software technologies. Overall the Department has a computing facility that is by far the best one in a statistics department in Canada, and second to none in the United States.
We plan the continuous evolution of this configuration supported by University and NSERC resources.