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Computing Resources

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 stat-support@umich.edu.

CaTS Information Resources (requires kerberos login)

Michigan IT provides a wealth of information about all IT services available at the University of Michigan.

 

Bayes Nodes

•bayes-node1.stat.lsa.umich.edu

•bayes-node2.stat.lsa.umich.edu

•bayes-node3.stat.lsa.umich.edu

•bayes-node4.stat.lsa.umich.edu

•bayes-node5.stat.lsa.umich.edu

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.

1 day

1 week

1 month

1 year

 

Visualization Machine

•visualize01.stat.lsa.umich.edu

•16 cores of Intel(R) Xeon(R) CPU E5-2660 0 @ 2.20GHz

•132 GB RAM

•Tesla C2050 / C2075 GPU

Access:

•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 stat-support@umich.edu.

 

High-Performance Computing

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 (stat-computing@umich.edu).

See also the C-tools IT/Computing page for more details on accessing the flux cluster allocation.