Weekly Help Session Schedule

Tuesdays, 10:30-11:30 am, 245 Lewis Science Library (need directions?)

Thursdays, 2:00-3:00 pm, 245 Lewis Science Library (need directions?)

What are Help Sessions?

Looking for some help getting started? Can’t get your code to run? This is an opportunity to meet with research computing staff for one-on-one help. Topics include, but are certainly not limited to:

• Getting started on the HPC clusters
• Understanding and troubleshooting error messages
• Installing and compiling software
• Writing SLURM submission scripts
• Data analysis and visualization
• Transferring and storing data
• Debugging
• Improving performance
• Programming strategies
• Cloud Computing
• And many more

Think of this as Research Computing's office hours - no appointment necessary. Unfortunately, we are not available to meet outside of these hours. If you have an issue and you are unable to attend a help session then please submit a ticket by emailing [email protected].

Please be aware that we have limited staff and that depending on the number of people who show up to a help session, we may not be able to get to you. (We operate on a first-come, first-serve basis.) If you have a technical issue we encourage you to follow the steps outlined on this page:

https://researchcomputing.princeton.edu/support

Read a short article about the help sessions.

Monthly Cloud Help Session

We are now offering monthly one-hour help sessions starting January 26, 2023 to all Princeton researchers and students who have questions about cloud services, support, and training opportunities. 

GCP (Last Thursday of the month, 1:00-2:00 PM)
Zoom link: https://princeton.zoom.us/my/picscieworkshop

AWS (First Tuesday of the month, 1:00-2:00 PM)
Zoom link: https://princeton.zoom.us/my/picscieworkshop

Azure (Second Thursday of the month 1:00-2:00 PM)
Zoom link: https://princeton.zoom.us/my/picscieworkshop

Visit Cloud Computing page for additional information. 

Visualization Help

You can get help with visualization programs, techniques, and data formats. In particular, how to effectively display your data.

If you are working with large amounts of data on the Princeton High-Performance Computing environment, you can one of Research Computing's visualization computers–either adroit-vis, della-vis1 or della-vis2, and stellar-vis1 or stellar-vis2, or Tigressdata. For more information, see our article on how to use these systems for visualization or graphical user interface (GUI) work.

OIT Tech Clinic

If your issue relates to your own computer or relates directly to the Windows operating system then we encourage you to visit the OIT Tech Clinic.

Data & Statistical Services (DSS)

All questions about writing Stata code should be directed to DSS. Research Computing can help with problems related to running Stata code on our clusters. For help on R with data analysis please see the DSS website. DSS offers online tutorials and training for performing data analysis with R as well as one-on-one appointments. Issues related to running R on the HPC clusters are best addressed at the weekly help sessions described on this page.