RCC User Guide
Welcome! This user guide provides information on accessing and using the University of Chicago Research Computing Center's High-Performance Computing (HPC) resources.
The RCC Workflow
This flowchart illustrates the workflow of a typical researcher using our HPC resources.
Overview of RCC's HPC Systems
The following tables provide a high-level summary of the various high-performance computing (HPC) systems that the RCC houses.
General Access Systems (Accessible to any researcher with an RCC user account)
System | Description |
---|---|
Midway3 | The RCC's flagship HPC cluster for multi-purpose scientific computing |
Midway2 | HPC cluster for multi-purpose scientific computing |
Skyway | Run Midway jobs on cloud computing platforms |
DaLI | Data Lifecycle Instrument, a data storage and software platform |
Restricted Access Systems (Special permissions required for access)
System | Description |
---|---|
MidwayR3 | RCC's HPC cluster for sensitive data, housed within the Secure Data Enclave |
Beagle3 | A GPU-focused HPC cluster for life sciences research |
MidwaySSD | HPC cluster dedicated to social sciences research |
GM4 | A GPU HPC cluster for fast and efficient molecular simulations |
Where to start?
- Researchers interested in using the RCC systems can request an account.
- For Service Units (computing time) and storage resources, request an allocation.
- If you would like to chat with an RCC specialist about what services are best for you, please contact our Help Desk.
Know what you're looking for?
Check out the search bar in the top right of the page (e.g., search: "GPU")--it's surpisingly useful!
Improve this user guide
If you come across any content that you think should be changed or improved (typo, out-of-date info, etc.), please feel free to do any of the following to help make the guide better:
- Contact us
- Create an Issue on GitHub