Information and documentation on the various systems available for research computing.
CARDS (Collaborative Academic Research Data Storage) is UofL’s high-capacity storage system supporting research computing clusters like LARCC and Zaruda. CARDS provides approximately 5 PB of persistent storage for research data, ensuring data is safe, accessible and integrated with UofL’s HPC and HTC systems.
The Big Data Analysis Platform (BDAP) at UofL is a GPU-accelerated HPC cluster designed for distributed parallel computing and data processing. BDAP supports data-intensive research, simulation and analytics with large-memory servers, ample local storage and a mix of CPUs and GPUs for a variety of scientific and engineering workflows.
This article helps UofL researchers, faculty and students access and use the Zaruda High Performance Computing (HPC) system for advanced research and data analysis. Zaruda is designed for large-scale computational tasks and supports a wide range of scientific and engineering applications.
LARCC (Louisville Academic Research Compute Cluster) is UofL’s high-throughput computing system designed for large volumes of independent or loosely coupled computational tasks. It supports research in AI/ML, biomedical sciences, chemistry and more. LARCC provides powerful CPU and GPU nodes, large shared storage and is optimized for parameter sweeps, model optimizations and data-intensive workflows.