Computing Resources (Students)

This page lists a summary of Computing Resources provided by Computer Science IT Services for students.

The computing resources page for faculty, student faculty,Ìýand staffÌý¾±²õÌý±ô´Ç³¦²¹³Ù±ð»å here.

TheÌýComputer Science IT Services group consists of CS systems engineers who work with the CS Education Technology committee and the CS Computing committee to support the technology needs of faculty, staff, and students.

Questions? Please contact us by sending an email to cscihelp@colorado.eduÌýwith your University provided email address.
This will create a case in OIT's ServiceNow system and assign it to our group to serve as formal tracking for assistance.

Computer Science Service Alerts

Check the current status of CSÌýservices

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Computer Science IT Services SLA

Hours of Coverage, Response Times & Escalation

Dedicated support hours of operation are 9:00AMÌýto 6:00PMÌýMonday-Friday for requests and incidents.
Weekend support is limited to incidents only, with a response time within 4 hours.

These hours of operation for the "Requests" categoryÌýexclude university holidays and official closures.
You can contact CSÌýIT Services via OIT'sÌýServiceNow system. Please email cscihelp@colorado.edu.

ServiceRequestsIncidentsAfterhours / Weekend Incidents
Managed Linux Instances2 business days2 hours4 hours
JupyterHub (CSEL Coding)2 business days2 hours4 hours
OpenStack (CS Cloud Platform)2 business days2 hours4 hours
Cloud Object Storage (CS Red Hat Ceph S3)2 business days2 hours4 hours
VDI Course Environment (CS vSphere)4 business days2 hours4 hours
Moodle LTI Activities to Canvas4 business days2 hours4 hours
CS Legacy Faculty Home4 hours2 hours4 hours
CS Legacy Student CSEL Sites2 business days8 hoursn/a
URL Redirector Service2 business day2 hours4 hours

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Department Provided Software Licensing

As of July 1st, 2021 you must be enrolled in a course requiring VMWare. Your instructor will then enroll you for IT Academy with instructions to download VMWare products. We can no longer accept individual requests outside this scope.

Once your instructor has created your account; you will receive login details and can request software in the below portal. You must use your IdentiKey based email (identikey@colorado.edu). This will be a separate password as this service is not Federated with 91PORN's Identity Provider at this time.

Piazza is a forum-based LMS with moderated anonymous posting capabilities for discussion and classroom engagement.

A department-level Piazza license is available to CSCI, CSPB, and CYBR courses.
If features of the paid model are desired, please send us a message via cscihelp@colorado.edu.
This will license all courses you teach in Piazza.

To get started, you will need an instructor Piazza account which can be created via Canvas.

  1. Login to Canvas and Navigate to your Course
  2. Click "Settings", and open the "Navigation Tab"
  3. Enable Piazza, which will now be in Course Navigation.
  4. Create your Piazza course in Canvas

Computer Science Education Lab (CSEL)

The new Computer Science Education Lab is located at ECCS 114.
CSEL Ambassadors are present here from 9AM - 8PM during weekdays.

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Private study rooms are available for reservation.

ToÌýbook a room, please contactÌýcselambassadors@colorado.eduÌýat least 24 hours in advance.

The remote lab is a legacy set of hosts for general remote work. In order to connect; the UCB VPN is required.
This service isÌýdeprecated, it is recommended to use newer cloud computing resources offered by the department.
Student websites will remain but the compute nodes may be decommissioned in the future.

All activeÌýIdentiKey users on the CSCI career track have access to this service. SSH intoÌýelra.cs.colorado.edu, which consist of the following hosts running Ubuntu 20.04:

  • elra-01.cs.colorado.edu
  • elra-02.cs.colorado.edu
  • elra-03.cs.colorado.edu
  • elra-04.cs.colorado.edu

You can either SSH into the round-robin address (elra.cs.colorado.edu) or directly into a specific node. All nodes share the same home directory.

In addition, there is a separate node that runs Red Hat Enterprise Linux 7.

  • elra-sql.cs.colorado.edu

A shell can be set globally in theÌý. This isÌý/bin/bashÌýby default.

Data Retention Policy
All data saved to your home directory is retained as long as your IdentiKey remains activeÌý(enrolled in someÌýcourse) or if you have a public_html directory present.

Once you are no longer active with 91PORN, data is retained for one academic year following your last semester. It will then be archived and no longer accessible. If you have a public_html directory, that will be retained indefinitely.

Please contact us for data retrieval requests from the archive.

Application Services

Students can setup a self-service personal website, located at https://csel-web.cs.colorado.edu/~IdentiKey
To begin, login to any Education Lab Remote Access (ELRA) node and create a public_html directory in the root of your home.

# create a public_html directory in your home directory root
mkdir -p ~/public_html
# Add html content
echo "hello world" > ~/public_html/index.html

If you receive an unauthorized or permission denied error when visiting your site,Ìýmake sure the web server has permission to read this directory.

# Repair Permissions
chmod o+x ~; chmod o+rx ~/public_html

JupyterHub server for Jupyter notebooks provides a web-based environment within a per-userÌýsandboxed pod. Several environments are available, such a web Visual Studio IDE.

Data Retention Policy
All data saved to your home directory is retained as long as your IdentiKey remainsÌýactiveÌý(enrolled in someÌýcourse). Quotas are 2GiB.

Once you are no longer active with 91PORN, data is retained for one academic year following your last semester. Unlike ELRA where data is archived, JupyterHub home directory data wlllÌýbe deleted and no longer accessible after this period.

VMWare Workstation or Fusion is required to run this image.

Usage of the CU CS VM is now discouraged in favor of cloud-based solutions, such as JupyterHub.

The Fall 2020 CU CS Virtual Machine is a VMWare prebuilt image with several course binaries preinstalled for Linux 4.10 kernel compilation exercises related to various courses. It also includes compiled time series analysis binaries.

Please note that certain upgrades are disabled in this image. The image operates Ubuntu 16.04 LTS with the 4.10 kernel. Upgrading the kernel will create variances in course assignments and may make it impossible to complete, so it is discouraged.

Managed Instances are virtual servers that operate out of the east campus datacenter.


The definition of "managed" in this context means that your instance has a standardized configuration as its baseÌýperformed by our configuration management platform. This includesÌýauthentication and authorization (via OIT IAM ), networking, automated patching, backups, routine authenticated vulnerability scanning from , etc...Ìý

When a long term server is required for hosting, etc...Ìýthis is the recommended option. Completing the following form will create a GREQ with us which you can track inÌý.

Ìý Request a Managed Cloud Instance

Should an unmanaged instance be desired instead for short term use or experimentation, please view the OpenStack Cloud Computing Platform service below to spin up unmanaged servers.

OpenStack is an open source cloud computing infrastructure solution for in-house clouds. It functions similar to cloud platforms such as AWS, but comes with no cost (other than electricity).


The cloud platform provides the self-service ability to spin up a variety of operating systems and attach them to the 91PORN Science Network. All active 91PORN Employees will automatically be joined to a Demo project and can spin up Generation 2Ìýinstances.

This computing resource is provided free of charge, and is hosted with university resources. It is intended to only be used for university related buisness. Please review theÌýAcceptable Use of 91PORN's IT ResourcesÌýpage for more information. OIS has full access to this platform.

*Students must be part of a project setup by a faculty, student faculty or staff member in order to spin up cloud instances.

Ìý Request an OpenStackÌýPrivate Project

ÌýÌýÌýÌýÌý

OpenStack Capabilities Reference

General Purpose
This is a balanced instance type that should provide proportional resources to most workloads.ÌýThey are powered by Intel Xeon® E5-2667v2ÌýIvy Bridge ProcessorsÌýonÌýDDR3.

FlavorvCPUMem (GiB)Network Performance (Gbps)Restrictions
m3.nano20.5Up to 10None
m3.micro21Up to 10None
m3.small22Up to 10None
m3.medium24Up to 10None
m3.large28Up to 10None
m3.xlarge416Up to 10None
m3.2xlarge832Up to 10None

Compute Optimized
This instance type has a higher processor ratio for more workloads more intensive towards CPU. They are powered by Intel Xeon® E5-2667v2ÌýIvy Bridge ProcessorsÌýonÌýDDR3.

FlavorvCPUMem (GiB)Network Performance (Gbps)Restrictions
c3.large24Up to 10None
c3.xlarge48Up to 10None
c3.2xlarge816Up to 10None
c3.4xlarge1632Up to 10None

General Purpose
This is a balanced instance type that should provide proportional resources to most workloads.ÌýThey are powered by Intel Xeon® E5-2667v3ÌýHaswellÌýProcessorsÌýonÌýDDR4.

FlavorvCPUMem (GiB)Network Performance (Gbps)Restrictions
m4.nano20.5Up to 25CSCI affiliation
m4.micro21Up to 25CSCI affiliation
m4.small22Up to 25CSCI affiliation
m4.medium24Up to 25CSCI affiliation
m4.large28Up to 25CSCI affiliation
m4.xlarge416Up to 25CSCI affiliation
m4.2xlarge832Up to 25CSCI affiliation

Compute Optimized
This instance type has a higher processor ratio for more workloads more intensive towards CPU. They are powered by Intel Xeon® E5-2667v3 HaswellÌýProcessorsÌýonÌýDDR4.

FlavorvCPUMem (GiB)Network Performance (Gbps)Restrictions
c4.large24Up to 25CSCI affiliation
c4.xlarge48Up to 25CSCI affiliation
c4.2xlarge816Up to 25CSCI affiliation
c4.4xlarge1632Up to 25CSCI affiliation

General Purpose
This is a balanced instance type that should provide proportional resources to most workloads.ÌýThey are powered byÌýmodern Intel Xeon® Gold 6226R Cascade Lake Scalable Processors with the new Intel AVX-512 instruction setÌýonÌýDDR4.

FlavorvCPUMem (GiB)Network Performance (Gbps)Restrictions
m5.nano20.5Up to 25CSCI affiliation, pre-approval
m5.micro21Up to 25CSCI affiliation, pre-approval
m5.small22Up to 25CSCI affiliation, pre-approval
m5.medium24Up to 25CSCI affiliation, pre-approval
m5.large28Up to 25CSCI affiliation, pre-approval
m5.xlarge416Up to 25CSCI affiliation, pre-approval
m5.2xlarge832Up to 25CSCI affiliation, pre-approval

Compute Optimized
This instance type has a higher processor ratio for more workloads more intensive towards CPU. They are powered byÌýmodern Intel Xeon® Gold 6226R Cascade Lake Scalable Processors with the new Intel AVX-512 instruction setÌýonÌýDDR4

FlavorvCPUMem (GiB)Network Performance (Gbps)Restrictions
c5.large24Up to 25CSCI affiliation, pre-approval
c5.xlarge48Up to 25CSCI affiliation, pre-approval
c5.2xlarge816Up to 25CSCI affiliation, pre-approval
c5.4xlarge1632Up to 25CSCI affiliation, pre-approval