Skip to content

Computing Facilities

The Department of Computer Science hosts more than 40 research labs with access 24 hours a day, 7 days a week; 2 open labs for graduate students; and a 128-seat open access lab for undergraduate students.

The labs consist of state-of-the-art, high-performance workstations and current generation desktop computers, all connected via gigabit Ethernet switches with a redundant fiber up-link to provide fast access to the campus network and the Internet. Nine classrooms and one large lecture hall with the latest computer and audio-visual equipment are available.  Academic coursework, project, and computing systems are comprised of Linux x86_64, and Windows Server executing on a collection of computational hosts and private clouds. The cloud hosts are connected via 8/16Gb fiber channel and iSCSI to a thin-provisioned 440TB HPE 3PAR mesh-active storage array.

 

General Computing

Click the tabs for more details

Location

ECSS 2.103 & 2.104

Access

All students currently enrolled in any course in the school of computer science (128 seats)

Machine Configurations

Dell OptiPlex 9020, i7-4770 Processor (8M Cache, 3.4 GHz), 8GB RAM, 23″ (Dell P2314) flat-panel display, Windows 7, 64-bit; Dell OptiPlex 9030 All-In-One, i7-4790S Processor (8M Cache, 3.2 GHz), 8GB RAM, Windows 7, 64-bit; 2 HP Laserjet 9040 printers

Hours

Spring & fall through census day
8 a.m. – 11 p.m. M-F
11 a.m.-7 p.m. Sat/Sun
Spring and fall through finals
8 a.m. – 2 a.m. M-F
11 a.m. – 9 p.m. Sat/Sun
Summer hours
8 a.m. – 11 p.m. M-F
11 a.m. – 7 p.m. Sat/Sun

Location

ECSS 3.101

Access

All CS graduate students (15 seats) 

Machine Configurations

Dell Precision T1650, Intel XEON CPU E3 – 1225 v2, @3.20GHz, 8GB RAM, 24″ flat-panel monitors, Windows 7 Enterprise
HP Laserjet P4015n printer

Hours

24/7/356, access with approved Comet cards
(Apply at CS department office at ECSS 4.908)

 

(Reserved for class only)

Location

ECSS 3.217

Access

All CS undergraduate/graduate students who are enrolled in Cloud Computing or Networking Lab (20 seats)

Machine Configurations

Cloud computing is comprised of 3 multi-node Open Stack clusters. 10 Networking Lab systems are custom built with GNS3 Network Simulation platform on Linux.

Hours

24/7/356, access with Comet cards
(Apply at CS department office at ECSS 4.908)

Network Programming VMs

Access: All CS students enrolled in network programming and parallel processing courses (45 systems)
UTD network: SSH (netxx.utdallas.edu, ‘xx’ from 01 to 45)
Platform Configuration: Linux – CentOS 6.6 x86_64

CS1

Access: CS Undergraduate Students
Internet access: SSH
UTD network: login with XDMCP or SSH (cs1.utdallas.edu)
Platform Configuration: Linux – CentOS 6.6 x86_64, Dell PowerEdge R710
w/2 six-core 2.53GHz Intel Xeon, 32GB RAM

CS2

Access: All CS students
Internet access: SSH
UTD network: login with XDMCP or SSH (cs2.utdallas.edu)
Platform Configuration: Linux – CentOS 6.6 x86_64, Dell PowerEdge R710
w/2 six-core 2.53GHz Intel Xeon, 32GB RAM

CSGRADS1

Access: All CS Graduate and PhD Students
Internet access: SSH
UTD network: login with XDMCP or SSH (cgrads1.utdallas.edu)
Platform Configuration: Linux – CentOS 7.0 x86_64 Dell PowerEdge R710 w/2 four-core 2.4GHz Intel Xeon, 64GB RAM

Mathematica 7 For Linux

Access: All CS students
Internet access: SSH
UTD network: login with XDMCP or SSH (cs1.utdallas.edu, cs2.utdallas.edu)
Mathematica Help: Xmanager

Oracle 12

Access: All CS students
UTD network: access with SSH or standard Oracle clients
(csoracle.utdallas.edu), Instance Name=student
Oracle Help

CSRSTUDIO

Access: All CS students
Internet access: HTTP
UTD network: login with http://csrstudio.utdallas.edu:8787
Platform Configuration: Linux – CentOS 7.0 x86_64 academic VM

Hadoop Big Data cluster

A nine node virtualized hadoop cluster and a four node virtualized cassandra cluster provide a next generation software laboratory for both undergraduate and graduate students enrolled in the bigdata course.  These nodes utilize the department’s storage area network to provide the high performance data transaction environment.  Using bleeding edge versions of hadoop, hive, pig, spark, and mahout students learn to grapple with  potentially unstable “beta” software.

The Department also maintains a general purpose private cloud of VMware vSphere 6.0 operating on 7 ESX hosts with dual 12-core processor 256GB RAM hosts inter-connected by a redundant 4/8/16Gb fiber channel SAN fabric. This provides infrastructure systems for the Computer Science Dept, academic VMs for a multiplicity of courses and services, fast deployment test instances, and on demand instances for Sr. Design projects.

Network Security courses server cloud
VMware vSphere 5 executing on 4 processors of 6-core Opterons, 128GB RAM, and four 4Gb redundant fiber channel SAN connections.

 

The UTDesign Studioutdesignfavicon_400x400

In addition to the above labs, CS students also have access the The UTDesign Studio that is equipped with  modern computing facilities and equipment with more than 30,000 square feet of dedicated space, where students and corporate partners can create, innovate, design, build and learn.

Further information on the UTDesign Studio can be found here.