Date Jan 23, 2025, 1:00 pm – 3:00 pm Jan 30, 2025, 1:00 pm – 3:00 pm Feb 6, 2025, 1:00 pm – 3:00 pm Feb 13, 2025, 1:00 pm – 3:00 pm Feb 20, 2025, 1:00 pm – 3:00 pm Feb 27, 2025, 1:00 pm – 3:00 pm Mar 6, 2025, 1:00 pm – 3:00 pm Mar 13, 2025, 1:00 pm – 3:00 pm Mar 20, 2025, 1:00 pm – 3:00 pm Mar 27, 2025, 1:00 pm – 3:00 pm Apr 3, 2025, 1:00 pm – 3:00 pm Apr 10, 2025, 1:00 pm – 3:00 pm Apr 17, 2025, 1:00 pm – 3:00 pm Apr 24, 2025, 1:00 pm – 3:00 pm May 1, 2025, 1:00 pm – 3:00 pm May 8, 2025, 1:00 pm – 3:00 pm May 15, 2025, 1:00 pm – 3:00 pm May 22, 2025, 1:00 pm – 3:00 pm May 29, 2025, 1:00 pm – 3:00 pm Jun 5, 2025, 1:00 pm – 3:00 pm Jun 12, 2025, 1:00 pm – 3:00 pm Jun 19, 2025, 1:00 pm – 3:00 pm Jun 26, 2025, 1:00 pm – 3:00 pm Jul 3, 2025, 1:00 pm – 3:00 pm Jul 10, 2025, 1:00 pm – 3:00 pm Jul 17, 2025, 1:00 pm – 3:00 pm Jul 24, 2025, 1:00 pm – 3:00 pm Jul 31, 2025, 1:00 pm – 3:00 pm Aug 7, 2025, 1:00 pm – 3:00 pm Aug 14, 2025, 1:00 pm – 3:00 pm Aug 21, 2025, 1:00 pm – 3:00 pm Aug 28, 2025, 1:00 pm – 3:00 pm Sep 4, 2025, 1:00 pm – 3:00 pm Sep 11, 2025, 1:00 pm – 3:00 pm Sep 18, 2025, 1:00 pm – 3:00 pm Sep 25, 2025, 1:00 pm – 3:00 pm Oct 2, 2025, 1:00 pm – 3:00 pm Oct 9, 2025, 1:00 pm – 3:00 pm Oct 16, 2025, 1:00 pm – 3:00 pm Oct 23, 2025, 1:00 pm – 3:00 pm Oct 30, 2025, 1:00 pm – 3:00 pm Nov 6, 2025, 1:00 pm – 3:00 pm Nov 13, 2025, 1:00 pm – 3:00 pm Nov 20, 2025, 1:00 pm – 3:00 pm Nov 27, 2025, 1:00 pm – 3:00 pm Dec 4, 2025, 1:00 pm – 3:00 pm Dec 11, 2025, 1:00 pm – 3:00 pm Dec 18, 2025, 1:00 pm – 3:00 pm Dec 25, 2025, 1:00 pm – 3:00 pm Jan 1, 2026, 1:00 pm – 3:00 pm Sep 14, 2023, 2:00 pm – 3:00 pm Details Event Description Where are Help Sessions located?We're normally in the Fine Visualization Laboratory (A15 Fine Hall)No Help Sessions on University holidays.NOTE: Temporary alternate locations, if there are any changes, will be posted here:No changes at this time.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 clustersGetting started with LinuxUnderstanding and troubleshooting error messagesInstalling and compiling softwareWriting SLURM submission scriptsData analysis and visualizationTransferring and storing dataImproving performanceProgramming strategies... and many moreThink 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, but there are usually more support team members available for the second hour of each Help Session.If you have a technical issue we encourage you to follow the steps outlined on this page:https://researchcomputing.princeton.edu/supportRead a short article about the help sessions.Visualization HelpYou 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 use the tigressdata server to run visualization software on the data. See the FAQ article, "How do I use VNC on Tigressdata?" for more information.OIT Tech ClinicIf 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.