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Faculty Overview
High performance computing resources at the University are provided through joint efforts from Information Technology and the Office of Research and Innovation. The information provided below should give you actionable information on how you can make use of these resources in your research, scholarship, and teaching. For additional information, reach out to the individuals listed in each section.
Research Computing 101
Excited to use these resources, but don’t know where to start? Just fill out our Research Computing 101 Training Interest and Experience Survey to help us identify the training sessions that would be most valuable to our community.
RedHawk + Talon
Miami’s own research computing clusters provide a variety of capabilities, including traditional compute, large memory-enabled compute, and GPU facilities. Faculty can request accounts directly and can also sponsor student accounts.
RedHawk
High-Performance computing requiring substantial CPU resources or large memory resources is performed on the RedHawk cluster. RedHawk is being upgraded (delivery of the new nodes taken in January 2026!) to enhance capabilities and allow for quicker compute or larger jobs.
Talon
In addition to RedHawk, the new Talon GPU cluster is coming online soon (Talon was delivered in January 2026). Talon provides advanced GPU computing capabilities with NVIDIA H100 GPUs, giving us the ability to perform AI and other computational tasks that benefit from GPU-based computation. Acquisition of the Talon GPU cluster was supported by NSF grant #2346343.
Capacity Upgrades
Faculty with an interest in procuring additional compute capacity and who have start-up or grant funds should contact their Academic IT Director and Jens Mueller about how to purchase shared infrastructure in the cluster. A range of shared and pooled resource acquisition models are available for contributing to and securing priority access to this additional capacity.
Ohio Supercomputer Center
The Ohio Supercomputer Center (OSC) provides research computation facilities for faculty at Ohio public universities. OSC provides a base allocation of compute, with additional compute available via a charge model for core, GPU, and storage usage.
- Annual Research Credit: Each Principal Investigator (PI) is granted a $1,000 annual credit at the start of the fiscal year (July 1 – June 30). This credit is applied to your Charge Account and covers usage across all your research projects. Once the credit is used up anytime during the fiscal year period, charges are applied according to this resource, which the PI is expected to cover.
- Zero-Cost Classroom Projects: Faculty teaching courses in Ohio can request "Classroom Projects." These are fully subsidized (100% discount) and do not count against your $1,000 research credit. You typically just need to provide a syllabus to qualify.
You can sign up for an account at: https://www.osc.edu/supercomputing/support/account.
Open Science Grid
The Open Science Grid provides the OSPool, a free, fair-share access to grant-funded computational and storage resources, primarily for high-throughput computing, i.e., typically for submitting a large number of serial jobs. No proposal is required, making it a great way to perform research computation on supercomputing resources with minimal overhead. In addition, the Open Science Grid provides access to a wide range of computational resources, allowing researchers to access specialized and large-scale compute. Instructors can take advantage of OSPool as part of teaching high-throughput computing courses, for conference workshops, and for other events.