Decide which cluster to use
For help deciding which cluster is best suited for you and your needs, see Which System to Use.
For small systems: Self-register
Two small clusters (Adroit and Nobel) are available on request to all Princeton faculty, students and staff.
- Adroit is used for development, debugging and small production runs.
- Nobel is used mainly for teaching.
For large clusters: Submit a proposal or contribute
Access to the large clusters (Tiger, Della, and Perseus) is granted on the basis of brief faculty-sponsored proposals. Access is also granted to members of research groups where the faculty member has contributed to the purchase of a cluster.
Contributions and priorities
There are no fees to use the systems; however, faculty can contribute to the purchase of our systems. By contributing to a system, a faculty member guarantees that averaged over some time period (two weeks or 30 days depending on the system) members of that group will be able to utilize the proportion of the system corresponding to the contribution. Unused system capacity is available to all other researchers on the system.
If you are interested in contributing to the purchase of a new cluster or an expansion of an existing system, please contact firstname.lastname@example.org.
Sponsor a user
A faculty contributor or a faculty member with an approved project can sponsor additional users by sending a request to email@example.com.
There is no charge for storage. Nobel uses the OIT home file system for storage. Adroit has its own file system. All other clusters use the /tigress parallel file system. All /tigress users are automatically given 512 GB storage quota and access to the tigressdata server for interactive access to their /tigress files.
Proposals for the large cluster systems should be submitted as PDF or MS Word documents not to exceed 3 pages. The proposal, which should be emailed to curt@Princeton.EDU, should include:
- Which system or systems you need to use
- A list of researchers who will need accounts
- The faculty member(s) who is sponsoring the project
- The scientific background for your project including scientific merit of the proposed work
- The programming approach for your project:
- Programming language
- Parallelization mechanism (MPI or OpenMP)
- Required libraries
- The resource requirements for your project:
- Number of concurrent cpus
- Total cpu time
- RAM per task
- Total disk space
- A few references or citations