All faculty, PostDocs and Ph.D. students at the Department of Statistics should have access to the following department computing resources. If you experience any problems, please do not hesitate to send a support ticket to email@example.com.
LSA IT Information Reources (requires kerberos login)
Michigan IT provides a wealth of information about all IT services available at the University of Michigan.
Access: Login remotely through a terminal, e.g. ssh -X bayes-node3.stat.lsa.umich.edu
The following links provide graphs of the historical load on the bayes server nodes for the past 1 day, 1 week, 1 month and 1 year.
•16 cores of Intel(R) Xeon(R) CPU E5-2660 0 @ 2.20GHz
•132 GB RAM
•Tesla C2050 / C2075 GPU
•Login remotely through a terminal, e.g. ssh -X visualize01.stat.lsa.umich.edu
•Login at the console in the computer lab @ West Hall.
Important: Please DO NOT power off the visualization machine. If you have trouble logging in at the console or
someone has locked the screen, try <Ctrl>+<Alt>+[<F8> or <F9> or <F10> etc] to start a new login
screen. If problems persist, please immediately notify firstname.lastname@example.org.
The Statistics Department maintains an allocation of nodes at the Flux cluster facility. They are
available to all faculty, postdocs and Ph.D. students. If you are a first time user, experience problems, or
have questions, please contact Ed Ionides and/or the Statistics Computing Committee (email@example.com).
See also the C-tools IT/Computing page for more details on accessing the flux cluster allocation.