Compute Resources

Princeton Research Computing has an  excellent website  that can address many preliminary questions you may have.

Description of Resources

A list of the various compute resources we currently use in the group is shown below:
 Della : A general-purpose, mixed CPU/GPU cluster meant for running day-to-day calculations.
 Tiger : A restricted use cluster that we have access to. Tiger is mainly meant for running "wide" jobs where multiple nodes are used. Serial calculations and calculations using less than a full node should never be run on Tiger.
 Adroit : The Princeton Adroit cluster is intended for debugging purposes only. If you're developing new software and running simple tests, this can be a useful resource to do rapid prototyping. Production calculations are never run here. Adroit is where our production tests for  quacc  are run.
If there are issues with Princeton computing resources, you should submit a  ticket . Always be courteous and detailed with your questions or requests. The IT staff are our friends, and we want to keep it that way.

Additional Resources

At times, we also have access to national supercomputing facilities like those through the  NSF ACCESS  program and DOE's  NERSC resources . These resources are obtained through a competitive application process. If your project has specific computing needs that would be benefit from such resources, we should write a proposal to request compute time.

General Comment

If you ever feel resource-constrained in the group, let Andrew know so that the problem can be resolved. In addition to national computing allocations mentioned above, the group also has dedicated funds that can be used to contribute to the Princeton HPC resources, thereby increasing our priority in the queue.