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High Performance Computing
High Performance Computing
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USD operates two supercomputer systems, also known as High Performance Computing (HPC) clusters, supercomputing clusters, or simply clusters.
All information being requested is for Institutional contact information. Please no private information.
Are you the Principal Investigator (PI)?
Are you the Principal Investigator (PI)?
No
Yes
If no, what is the Principal Investigator's name?
All requests must have approval from the Principal Investigator
If no, what is the Principal Investigator's Institutional email address?
Are additional users needed?
Are additional users needed?
No
Yes
Please list additional users 1) name 2) institutional email address 3) position/affiliation
Please list all additional access users with 1) name 2) institutional email address 3) position/affiliation
Where and how does your collaboration share data (if applicable)?
How much Lab Data Storage storage space (approximately) will you need on Lawrence?
Does your research involve any sensitive data, or data that needs special protection?
(e.g. HIPAA, FISMA, CUI, NIST 800-171, FEDRAMP, etc.)
Does your research involve any sensitive data, or data that needs special protection?
Yes
No
Unsure
If Yes or Unsure, please explain what makes your data sensitive
Please briefly describe your research and list any software or software packages currently used in your workflow (or that you plan to use), and whether they are open source, or require buying a license.
(e.g. R, python, Anaconda)
Do you have plans to use the special nodes?
Do you have plans to use the special nodes?
Yes
No
Unsure
If Yes or Unsure, which Special Nodes do you plan on using?
Additional Comments
Target Completion Date
The due date indicates the date that the work on the ticket is to be completed. If the ticket has estimated hours associated, the due date is the end of the resource allocation range.
12/12/2024
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Your first name
Your last name
Your email address
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