Computing Resources within CSS

The lab resources managed and maintained by CSS includes four primary in-person CSS Labs: UW1-310 running Windows, UW1-320 running Linux, UW1-321B running Windows used by Embedded Systems, and UW1-321A running a mix of Windows and Linux generally used by the Cybersecurity program.

CSS also manages the UW1-302 Grad lab, where the workstations are available for Grad level research projects.

For all support requests regarding the CSS labs, please contact the STEM CSS Liaisons, Sinchai Delong, Rene Gomez and Chris Fox, at

Lab hours are based on UW1 building hours.


CSS manages a total of 28 Linux based Lab computers: 16 physical workstations located in UW1-320 and 12 VMs at UW data center. Workstations in the in-person Linux lab (UW1-320) and the remote Linux lab are running CentOS 7.

CSS also manages several workstations at the Graduate lab (UW1-302). These machines are a mix of operating systems and will be outlined in the below sections.

Linux Lab

In-person Linux lab

The in-person Linux lab in UW1-320 has 16 desktops (15 Linux workstations and 1 Podium workstation) 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 unavailable for student usage.

In-person lab (UW1-320) Workstation Specs:

  • Intel(R) Core(TM) i7-6700 3.4GHz Quad-Core Processor Centos 7
  • 32GB RAM
  • 1TB HDD
  • nVidia GeForce GTX 745

These machines are named: all the way to

Remote Linux lab

The remote Linux lab at UW data center has 12 VMs on a gigabit network.

Remote lab Workstation (VM) Specs:

  • 2vCPU CentOS 7
  • 8GB RAM
  • 200G SSD

These machines are named: all the way to

For each user using this remote lab, the file space is limited to 2GB/user.

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


Windows lab machines use a common image maintained by IT, currently all machines are running Windows 10. There is no remote desktop access to these machines; users must be physically present.

Special note for Spring 2020: CSS users can remotely access machines in the Windows lab, please check for details.

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 7070 workstations.

  • Intel i7-9700 (8 Cores/12MB/8T/3.0GHz)
  • 32GB RAM
  • 1TB Storage
  • NVIDIA GeForce GT 730, 2GB, LP (DP,DP)
  • Windows 10

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

  • Anaconda* BlueJ IDE* Brian 2.0 Simulator* Canopy* CORBA* Eclipse IDE* g++, valgrind* doxygen* Java* JESS* MatLab* Netbeans IDE* Putty* Python
  • RMI* SciPy* tcpdump* Visual Studio* matplotlib (Python)* nose (Python)* ipython-notebook (Python)* scikit-learn* Chimera* Unit3D

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

Grad Lab

The Grad lab is located in UW1-302. There 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(Some Mac and Windows) 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.

juno hermes cssmpi (* Intel® Xeon® Processor E5-2630 2.4GHz* 32GB of RAM* 1TB * Nvidia Quadro K4200: Primarily used for Prof. Fukuda's GPU compute research. Currently running Debian 9 :Located in UW1-302)

Hermes group: all the way to over at Seattle Data Center.

cssmpi group: all the way to over at Seattle Data Center.

Data center

The UWB IT data center is located at the data center in Seattle.

Faculty Research machines

There are four Linux VMs for general faculty use

  • 4 vCPU CentOS 7
  • 16G RAM
  • 200G SSD

These machines are named:;;;

For each user using this remote lab, the file space is limited to 2GB/user.

Hermes group all the way to

CSS MPI group all the way to

A.K.A. csspgu02p and primarily used for Prof. Stiber's compute research with CUDA CentOS 7

  • 2 x Intel Xeon E5-2620v3, 2.4 GHz
  • 64GB RAM
  • 500GB of HD
  • 2x NVIDIA Tesla K80
  • Matlab 2019

Primarily used for Prof. Stiber's compute research with CUDA CentOS 7

  • (2)Intel(R) Xeon(R) Gold CPU
  • (2)Nvidia Tesla V100
  • Matlab 2019

This is a Linux-based NFS file server currently running in a VMWare 5.5 environment.

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

UW U drive and UW Uware(software) Husky Onnet VPN And Virtual Infrastructure in the Cloud

UW U drive info and connection instruction :

UW Uware(software) info:

Husky Onnet VPN:

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:


The best way to find something here is to use the search box in the upper right or the site index link below.

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