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 135-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 10 GbE 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
CS Open Access Lab
Location
ECSS 2.103 & 2.104
Access
All students currently enrolled in any course in the school of computer science (135 seats)
Machine Configurations
Dell OptiPlex 9030 All-In-One, i7-4790S Processor (8MB Cache, 3.2 GHz), 8GB RAM, Windows 10 64-bit; Dell OptiPlex 7440 All-In-One, i7-6700 Processor (8MB Cache, 3.4GHz), 16GB RAM, Windows 10 64-bit; 2 HP Laserjet M609 printers
Hours
Spring & Fall
• 8 a.m. – 12 a.m. M-F
• 10 a.m. – 10 p.m. Sat/Sun
Summer
• 8 a.m. – 11 p.m. M-F
• 11 a.m. – 7 p.m. Sat/Sun
Graduate Windows Lab
Location
ECSS 3.101
Access
All CS graduate students (15 seats)
Machine Configurations
Dell Precision T3620, i7-6700 Processor (8MB Cache, 3.4GHz), 16GB RAM, 24″ LCD monitors, Windows 10 64-bit,
HP Laserjet 9040 printer
Hours
24/7/356, access with approved Comet cards
(Apply at CS department office at ECSS 4.908)
Project Design Lab
(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 the GNS3 Network Simulation platform on Linux.
Hours
24/7/356, access with Comet cards
(Apply at CS department office at ECSS 4.908)
General Access Systems
Network Programming VMs
Access: All CS students enrolled in network programming and parallel processing courses (45 systems)
UTD network: ssh NetID@netxx.utdallas.edu (For ‘xx’ from 01 to 45)
Platform Configuration: Linux – CentOS 7.9 x86_64
CS1
Access: CS Undergraduate Students
UTD network: ssh -Y NetID@cs1.utdallas.edu
Platform Configuration: Linux – CentOS 7.9 x86_64, Dell PowerEdge R720
w/2 six-core 2.3GHz Intel Xeon, 256GB RAM
CS2
Access: All CS students
UTD network: ssh -Y NetID@cs2.utdallas.edu
Platform Configuration: Linux – CentOS 7.9 x86_64, Dell PowerEdge R720
w/2 eight-core 2.2GHz Intel Xeon, 256GB RAM
CS3
Access: All CS students
UTD network: ssh -Y NetID@cs3.utdallas.edu
Platform Configuration: Linux – CentOS 7.9 x86_64, Dell PowerEdge R720
w/2 twelve-core 2.4GHz Intel Xeon, 192GB RAM
CSGRADS1
Access: All CS Graduate and PhD Students
UTD network: ssh -Y NetID@csgrads1.utdallas.edu
Platform Configuration: Linux – CentOS 7.9 x86_64 Dell PowerEdge R720
w/2 twelve-core 2.4GHz Intel Xeon, 256GB RAM
Mathematica 7 For Linux
Access: All CS students
UTD network: ssh -Y NetID@cs1.utdallas.edu or ssh -Y NetID@cs2.utdallas.edu
CLI: math.12
GUI: mathematica.12
For security reasons, we have removed all our servers from off-campus Internet access.
All students must either be on campus or connected to UTDs VPN service to access our servers.
Specialty Systems
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 big data course. These nodes utilize the department’s storage area network to provide a 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.
Virtual Infrastructure Cloud
The Department also maintains a general-purpose private cloud of VMware vSphere 6.0 operating on 7 ESX hosts with dual 12-core processor 512GB RAM hosts interconnected by a redundant 8/16GB fiber channel SAN fabric. This provides infrastructure systems for the Computer Science Department, 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 7 executing on 4 processors of 12-core Xeon, 256GB RAM, and four 8GB redundant fiber channel SAN connections.
THE UTDESIGN STUDIO
In addition to the above labs, CS students also have access to 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.
Learn more about the UTDesign Studio.
