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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.

CUNY HPCC machine room at the College of Staten Island

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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.

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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).

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How the center is funded

The majority of CSI HPCC’s compute capacity has been built with federal research awards, topped up by CUNY and New York State investment. The breakdown, approximately:
SourceShareRepresentative 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 StateRemainderDASNY, 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 for the exact citation text.

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What you’ll find in these docs

Systems

Cluster hardware: nodes, cores, GPUs, interconnect, and file systems.

Software

The LMOD module system and the software stack available to load.

Accounts

How to get an account and how to log in.

Storage

The difference between home and scratch, quotas, and file transfers.

Jobs

Annotated SLURM templates for serial, MPI, OpenMP, hybrid, GPU, and array jobs.

Policies

Acceptable use, passwords, and security rules you’re expected to follow.

Support

How to reach the HPC Helpline and how to escalate a stuck ticket.

FAQs

Quick answers distilled from the HPCC Wiki.

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External references

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Site authors

CUNY students working to modernize the CSI HPCC and Empire AI documentation. This is an independent, individual effort and is not affiliated with or endorsed by CSI HPCC or Empire AI.

Ethan Castro

Ethan CastroStudying statistics and quantitative modeling at Baruch. Currently works at Playlab, an edtech non-profit.

Hussam Ali

Hussam AliStudying electrical engineering at CSI. Previously interned at TSMC, among other places.