Computing and Research
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The ITS Research Computing team at the University of Louisville empowers researchers with access to advanced high-performance computing (HPC), data storage, and visualization tools tailored to support a wide range of scientific and academic projects. From the Cardinal Research Cluster (CRC) to specialized consulting services, the team provides expert guidance in software optimization, data management, and compliant computing environments. Whether you're initiating a new project, applying for grants, or navigating regulated data requirements, ITS Research Computing offers personalized support and infrastructure at no cost to UofL-affiliated faculty, students and staff.
Computing and Storage Systems
Zurada
Our flagship HPC system is purpose-built for AI, distributed parallel and data-intensive workloads. It features NVIDIA GPUs (H200 and H100), powerful AMD CPUs and high-memory (6 TB, 3 TB, 1.5 TB) compute nodes. Backed by a massive parallel file system and high-speed interconnect, it delivers exceptional performance for demanding research applications.
Click for system details, access request form and user guide.
LARCC
This high-throughput computing system is optimized for running large volumes of independent or loosely coupled tasks across a broad range of applications. With a mix of powerful CPUs, advanced GPUs (NVIDIA H100) and fast interconnects, it efficiently handles workloads that demand rapid job turnaround and scalability.
Click for system details, access request form and user guide.
Big Data
This NVIDIA V100 GPU-accelerated HPC system is designed for small-scale (2-4 servers) distributed-parallel computing and data processing. It features a high-memory server (3 TB), ample local storage and a balanced mix of CPUs and GPUs to support a variety of data-intensive and simulation tasks. This system is bigger than LARCC and smaller than Zurada in terms of the number of CPUs and GPUs.
Click for system details, access request form and user guide.
CARDS
A secure, high-capacity storage system for data persistence (on LARCC), ensuring research data is safe, accessible and usable in near future.
Click for system details, account requests through OSDF (coming in future) and user guide.
Research Enabled
Materials Engineering
Materials Engineering Leveraging molecular dynamics simulations and AI/ML techniques to accelerate the discovery, design, characterization and synthesis of next-generation energy storage materials
Genome Sequencing
Analyzing vast datasets to identify genetic markers for diseases, paving the way for advancements in personalized medicine
BioEngr. and Pathology
Generative AI-based system for accurate prediction of deceased donor liver-transplant (DDLT) outcome and viability