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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.
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.
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.