University of Cincinnati

Advanced Research Computing Center
Helping you create what's NEXT

Providing all of the tools and resources necessary for complex, large scale AI/ML, Modeling/Simulation, GenAI/LLMs, Data Analysis/Visualization and Data Science research

What is the ARC?

The ARC center offers many advanced computational tools and services designed to help you achieve your research goals from data collection,  computational analysis, through data storage and preservation.   The mid-scale HPC Cluster (aka supercomputer) includes 6,000 CPU cores and 28 GPU cores (20 A100 and 8 H100).  We offer 3 levels of storage – fast, high speed (scratch, project), bulk storage and tape archives.  Dedicated data transfer nodes support high speed transfer of large data using Globus.

Perform your analysis, simulations and modeling using Containers, Jupyter Notebooks, RStudio, OnDemand (interactive web interface or traditional Linux command line interface.

Need cloud resources?  We have that too – at no cost to you!  The ARC partners with the Jetstream2 national research science and engineering cloud to help you set up your workflows in their OpenStack cloud environment.  Perfect for 

Need help?  Support for optimizing and scaling up your workflow on local, regional (Ohio Supercomputer Center) and national (Jestream2) and other NSF ACCESS resources is available from our computational scientists.

Getting Started

Step 1. First Time Users of the ARC

Is this your first time exploring the ARC and the resources and services we offer?  We suggest a brief meeting with the ARC team of computational experts to help you understand which tools are the best for YOUR research workflow and navigate the process for requesting an account and resource allocations.

Step 2.  Request account(s) and resources

If you know what resources you need, you can skip Step 1 and go straight to requesting an account and HPC and/or Storage resources.   Note:  A valid UC account string for monthly charges is required when requesting resources.

 

SPACE RELATED PROJECTS

Internal Funding Available

eclipse, sun, space-1492818.jpg

to Pay for computational CPU/GPU hours and storage

Office of Research Digital Futures:  Space Research Institute for Discovery and Exploration (SRIDE) Core Facilities Support Program
Applicants may request SRIDE funding support for projects that require Advanced Research Computing (ARC) Core Facility HPC Resources (CPU, GPU hours and/or Storage)
 
 
Contact: Jane Combs, 513-556-0874, combsje@ucmail.uc.edu

Due Date: 1/1/2030 (applications are accepted on a rolling basis)