High Performance Computing (HPC) services for Research at the University of Louisville empower researchers with advanced computational resources, expert support, and short-term data storage to accelerate scientific discovery and innovation. These services are designed to support complex simulations, large-scale data analyses, artificial intelligence, and interdisciplinary research, aligning with the university’s mission to foster groundbreaking research and collaboration.
Details
The university operates multiple state-of-the-art HPC and high-throughput computing (HTC) systems, including Zurada, LARCC, and the Big Data Analysis Platform (BDAP), as well as a large-scale storage system named as CARDS. These resources are housed in a secure, climate-controlled data center with robust power, cooling, and network infrastructure.
- Access Points: Researchers can request access to HPC systems.
- Service Request Procedures: Submit requests for system access, storage, or consultation through the service portal. Incidents should also be reported through the service portal.
- Email for non-support or non-incident related questions: ithpc@louisville.edu
Key Features
- Access to flagship HPC systems (Zurada, LARCC, BDAP) with advanced CPUs, GPUs (NVIDIA H100/H200/V100), and large-memory nodes
- 200 Gbps Infiniband and high-speed Ethernet interconnects in some of the systems
- 5+ PB of secondary storage system named as CARDS that is directly connected to LARCC
- Access to the national cyberinfrastructure (Internet2, KyRON, NSF ACCESS)
- Condo-model hosting for researcher-funded infrastructure
- Support for regulated data and compliant computing
- Expert consultation for code optimization, workflow design, and grant writing
- Comprehensive software and application support
- Training workshops and documentation for new and advanced users
Benefits
- Accelerated research timelines and enhanced discovery
- Reliable, scalable, and secure computational resources
- Reduced barriers to interdisciplinary and collaborative research
- Professional support and training for all levels of researchers
Audience
- Faculty and Researchers: Conducting computationally intensive research or large-scale data analysis
- Graduate and Undergraduate Students: Engaged in research projects requiring advanced computing
- Research Groups and Departments: Needing scalable, secure, and collaborative computing environments