Computing Resources Within CSS

An overview of the lab resources managed and maintained by CSS. This includes the three primary CSS Labs, UW1-310 running Windows, UW1-320 running Linux, and UW1-321 running a mix of Windows and Linux generally used by the Cyber Security program.

Also included is some information on the UW1-302 Special Projects lab and the workstations potentially available for Grad level research projects.

For a comprehensive list of hardware available in the CSS labs please see the CSS Lab Inventory

For all support requests regarding the CSS Labs please contact the STEM CSS Liaisons, Nic Templeton and Chris Fox, at


Workstations in the Linux lab are running Ubuntu 14.04.

Graduate lab machines are a mix of operating systems and will be outlined in the below sections.

Linux Lab

The Linux lab in UW1-320 has 16 desktops on a gigabit network. All machines are configured identically with the exception of the podium machine. The podium machine has some tutor specific software installed and is generally not available for student usage.


CSS manages a total of 32 Linux based Lab computers, 16 located in UW1-320 and 16 located in the campus datacenter.

UW1-320 Workstation Specs:

  • Intel(R) Core(TM) i7-6700 3.4GHz Quad-Core Processor
  • 32GB RAM
  • 1TB HDD
  • nVidia GeForce GTX 745

Remote lab Workstation Specs:

  • Intel(R) Core(TM) i7-3770 3.4GHz Quad-Core Processor
  • 16GB RAM
  • 500GB HDD, generally 200GB free disk space

A round-robin alias has been configured, uw1-320-lab, this will connect you to a next-in-line workstation machine. The purpose is to allow students to only have to remember a single hostname while still providing some light load-balancing among the lab machines.

These machines are named uw1-320-01 through uw1-320-15. While generally available these desktops are shared by some graduate projects and as such are subject to irregular loads and may be rebooted or disconnected by students without warning. The IT staff is working on methods of reducing unplanned shutdowns while minimizing end user impact.

Please visit Connecting to the Linux Lab Machines for directions on how to connect to the Linux lab remotely.

Grad/Research Lab

Located in UW1-302. This is an array of machines, mostly purchased on research grants but some for the graduate program. The network is all gigabit. Workstations in this space do not have a specific configuration and are often updated with new software based on student and faculty needs.

Generally these workstations are available 24/7 for remote access. However IT support may require support windows of downtime, both planned and unplanned, in order to update software or install additional software.

Hercules has become a general use machines for graduate student projects. It is currently running Ubuntu 14.04 and connected to a four monitor display.

  • Dual Intel(R) Xeon(R) CPU E5520 @ 2.27GHz (each quad-core with hyperthreading)
  • 6GB RAM
  • nVidia Quadro NVS 295 graphics cards
  • Around 120GB free disk

Prof. Stiber's machine for research using CUDA.

  • AMD Phenom™ II X4 920 Processor @2.8GHz (quad-core)
  • 8GB RAM
  • Around 1.5TB free disk
  • Dual nVidia Tesla C1060 GPU cards

Primarily used for Prof. Fukuda's GPU compute research. Currently running Ubuntu 14.04 LTS.

  • Intel® Xeon® Processor E5-2630 2.4GHz
  • 32GB of RAM
  • 1TB HDD
  • Nvidia Quadro K4200

Data center

The UWB IT data center is located on the ground floor of UW1.

A.K.A. csspgu02p and it's used mostly for research with CUDA

  • 2 x Intel Xeon E5-2620v3, 2.4 GHz
  • 64GB RAM
  • 500GB of HD
  • 2x NVIDIA Tesla K80

A.K.A. csspgu01 and it's used mostly for research with CUDA

  • Intel(R) Xeon(R) CPU E5620 @ 2.40GHz

Original head node of the Mnode cluster. Purchased through a research grant and used primarily by Prof. Fukuda. Currently running as a VM. through

Used as a compute cluster by Prof. Munehiro; can operate with either Medusa or Hercules as the head node.

  • Intel(R) Xeon(TM) CPU 3.20GHz (1-core, hyperthreading)
  • 512MB RAM
  • Around 18GB free disk (36GB total)
  • RHEL 4.8

Linux based resource and NFS file server. This is a virtual server currently running in a VMWare 5.5 environment.

  • (6) VMWare virtual core CPU
  • 10GB RAM
  • 2.7TB Storage
  • Ubuntu 16.04LTS


Windows lab machines use a common image maintained by IT, currently all machines are running Windows 7. UWB IT is currently testing and reviewing Windows 10 to determine the best roll-out timeline. There is no remote desktop access to these machines; users must be physically present.

Drop-in Windows Lab

The drop-in Windows lab is in UW1-310, and is wired with gigabit ethernet. Including the podium machine there are 17 Dell Optiplex 9020 workstations.

The UW1-310 Windows lab includes a range of IDEs and other software development tools including:

  • Atlassian SourceTree
  • BlueJ IDE
  • Eclipse IDE
  • GNU Emacs
  • MIT Scratch
  • Netbeans IDE
  • Putty
  • Python
  • TortoiseSVN

For more detailed information about the drop-in Windows lab please see here.

Virtual Infrastructure in the Cloud

UWB IT continues to explore opportunities with cloud based solutions. These are a few links that might be helpful for research possibilities.

Amazon provides grants for educators to use their cloud computing infrastructure:

Microsoft also has an academic pilot program for their Azure environment:

Google App Engine doesn't seem to have an academic discount program, but their base service includes a fair amount of usage free per day:


computing_resources.txt · Last modified: 2017/02/28 16:10 by nict