> ## Documentation Index
> Fetch the complete documentation index at: https://docs.nyc-ai.app/llms.txt
> Use this file to discover all available pages before exploring further.

# Training & events

> Workshops, seminars, and one-on-one help for CUNY HPCC users.

CUNY HPCC offers regular learning opportunities alongside this documentation.

## Workshops

The HPC Center hosts free workshops covering:

* Introduction to HPC and the command line.
* Parallel programming (MPI and OpenMP basics).
* Job scripting with SLURM.
* GPU programming and CUDA.
* Data management, transfer, and archival.
* Python and Julia on HPC clusters.

Schedules are posted on the [**Training & Workshops**](https://wiki.csi.cuny.edu/cunyhpc/index.php/Training_and_workshops) page of the HPCC Wiki and on the CSI events calendar.

## Seminars

Periodic research seminars and guest talks are announced on the [CUNY HPCC center page](https://www.csi.cuny.edu/academics-and-research/research-centers/cuny-high-performance-computing-center) under **HPC Events**. These cover computational research across CUNY and beyond.

## One-on-one help

The HPC Center provides **helpdesk hours by appointment** at both the CUNY Graduate Center and the College of Staten Island. Request a slot through the [HPC Helpline](mailto:HPCHelp@csi.cuny.edu) and mention which location works for you.

<Note>
  Current appointment availability and exact locations move around. Confirm on the Wiki's [Training and workshops](https://wiki.csi.cuny.edu/cunyhpc/index.php/Training_and_workshops) page before advertising specific times.
</Note>

## Self-paced material

* **[HPCC Wiki](https://wiki.csi.cuny.edu/cunyhpc/index.php/Main_Page)**: the authoritative technical reference, including Running Jobs, File Transfers, Program Compilation, and FAQs pages.
* **This site**: the getting-started track ([Accounts](/accounts-access) → [Quickstart](/quickstart) → [Job submission](/job-submission)) is designed to get a new user through their first real job.
* **External MOOCs and vendor docs**: topics like SLURM, MPI, CUDA, and PyTorch on GPU clusters are well covered by NVIDIA, LLNL, and university HPC programs. We link out when relevant rather than duplicating their material.

## Stay up to date

Keep an eye on:

* [CUNY HPCC events](https://www.csi.cuny.edu/academics-and-research/research-centers/cuny-high-performance-computing-center) on the center's page.
* The [HPCC Wiki](https://wiki.csi.cuny.edu/cunyhpc/index.php/Main_Page) for operational announcements (maintenance windows, software updates).
* Any user mailing list you were subscribed to when your account was provisioned.

If you'd like to see a specific workshop or tutorial run, [email the helpline](mailto:HPCHelp@csi.cuny.edu). Scheduling reflects demand.