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.

12/3/2024

Other Fields

Your name

Your first name

Your last name

Your email address

Verification Code

University of South Dakota