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School of Mathematics

Computing Facilities

Overview of Computer Labs

The School of Mathematics has computer workstations in offices and in labs for individuals to log in to. Machines dedicated to remote access and computations are also available. Supercomputing resources are available on campus from the
Digital Technology Center.

Use a secure shell (ssh) to connect remotely to computers.

Math classrom lab reservations can be made with Stephanie Lawson.  Access to 270d and 314 is available 24 hours/day with a door code received with your account sheet.

Campus Computers

Math Computer Labs

Hostnames and hardware specifications of lab computers of the School of Mathematics are listed below. Hosts listed are part of the domain math.umn.edu which means gamma's fully qualified hostname is gamma.math.umn.edu.

Vincent Hall 5 Classroom Lab

10 - Intel Core 2 Duo E7400 2.8GHz, 2GB NECC memory, 256 MB ATI Radeon 3450 video *
11 - AMD Athlon 64 3700+, 2 GB memory
1 - AMD Athlon 64 3700+, 2 GB memory (Instructor)
1 - Projector
1 - Printer (vinp005)


omega Ωω (Instructor)

vinp005

gamma * Γγ


delta Δδ


epsilon * Εε


zeta Ζζ


eta * Ηη


theta Θθ


iota * Ιι


kappa Κκ


lambda * Λλ


mu Μμ


nu * Νν


xi Ξξ


omicron * Οο


pi Ππ


rho * Ρρ


sigma Σσ


tau * Ττ


upsilon Υυ


phi * Φφ


chi Χχ


psi * Ψψ

Door

Math Servers

Remote Shell Server

For remote access only. See
our ssh guide.
Use these machines for quick file access, or checking mail. For long running jobs use computation servers, or lab machines.
ash.math.umn.edu
birch.math.umn.edu

Computation Servers

Simulations that require more memory, or to run for a long time can use the compute servers. These machines are for research use only. Send systems staff an email (students should include a faculty sponsor). Turnaround for access is typically a day.

superbee.math.umn.edu, viper.math.umn.edu
Intel Core 2 Quad Q6600 2.4GHz, 8 GB ECC memory, 256 MB nVidia Quadro FX 570

Supercomputers at the U

The
Minnesota Supercomputing Institute has large and small computer clusters available. Computing tutorials & workshops are offered throughout the year. MSI has small clusters in labs focused on different topics, and core clusters for high end supercomputing.

MSI Laboratories
Basic Sciences Computing (BSCL)
Computational Genetics (CGL)
Biomedical Modeling, Simulation, and Design (BMSDL)
LCSE-MSI Visualization Laboratory
Scientific Data Management (SDML) Scientific Development and Visualization (SDVL)

The MSI Core Computing Hardware has computer clusters with dozens or hundreds of processors to work on large scale jobs. To use these resources see the MSI's Core Hardware Policies and Procedures.

Other Supercomputing Resources

LCSE works on "innovative hardware and system software solutions to problems in computational science and engineering". IT faculty and students have access to the lab.

Institute of Technology
www.math.umn.edu/systems_guide/labs/
Last Modified October 30, 2009
Contact the School of Mathematics
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