> ## 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.
# Overview
> What CUNY HPCC is, the systems it operates, and what you'll find in these docs.
## Mission
The CUNY High Performance Computing Center (CUNY-HPCC), hosted at the College of Staten Island, **advances scientific research and discovery at CUNY by providing state-of-the-art computing resources and comprehensive research support services**. CUNY-HPCC takes an interdisciplinary approach to advanced research computing and data technologies so that CUNY faculty, researchers, staff, and students across every discipline have direct access to modern large-scale computational architectures, wide-bandwidth interconnects, fast file systems, professional expertise, and collaborative opportunities.
CUNY-HPCC also provides all CUNY users with allocations on **EMPIRE-AI**, backed by in-house technical expertise. CUNY-HPCC's own computational resources, equivalent to EMPIRE-AI architectures, support development and implementation of large-scale projects destined to run on EMPIRE-AI servers.
## Who it's for
* **CUNY faculty and research staff** running production research codes.
* **Graduate and undergraduate researchers** working under a CUNY PI.
* **Instructors and students** using HPC in coursework (class accounts are available on request).
## How the center is funded
The majority of CUNY HPCC's compute capacity has been built with federal research awards, topped up by CUNY and New York State investment. The breakdown, approximately:
| Source | Share | Representative awards |
| --------------------------- | --------- | --------------------------------------------------------- |
| National Science Foundation | \~80% | OAC-2215760 (2022), ACI-1126113, CNS-0958379, CNS-0855217 |
| City University of New York | \~8.6% | Central Office capital investment |
| NYC & NY State | Remainder | DASNY, NYC, and New York State grants |
This is why **every publication, thesis, or poster that used HPCC resources must include the NSF acknowledgement**. See [Policies & security](/policies#citing-csi-hpcc) for the exact citation text.
## What you'll find in these docs
Cluster hardware: nodes, cores, GPUs, interconnect, and file systems.
The LMOD module system and the software stack available to load.
How to get an account and how to log in.
The difference between home and scratch, quotas, and file transfers.
Annotated SLURM templates for serial, MPI, OpenMP, hybrid, GPU, and array jobs.
Acceptable use, passwords, and security rules you're expected to follow.
How to reach the HPC Helpline and how to escalate a stuck ticket.
Quick answers distilled from the HPCC Wiki.
## External references
* [CUNY HPCC portal](https://hpchome.csi.cuny.edu): account management and announcements.
* [CUNY HPCC Wiki](https://wiki.csi.cuny.edu/cunyhpc/index.php/Main_Page): the authoritative technical reference.
* [Ticket system](https://hpchelp.csi.cuny.edu): open a formal trouble ticket for job or account issues.
* [CUNY HPCC on csi.cuny.edu](https://www.csi.cuny.edu/academics-and-research/research-centers/cuny-high-performance-computing-center): center page with staff contacts and events.
## Site authors
CUNY students working to modernize the CUNY HPCC and Empire AI documentation. This is an independent, individual effort and is not affiliated with or endorsed by CUNY HPCC or Empire AI.
Studying statistics and quantitative modeling at Baruch. Currently works at Playlab, an edtech non-profit.
Studying electrical engineering at CSI. Previously interned at TSMC, among other places.