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- Knowledge Base
- Research Computing
- High-Performance Computing (HPC)
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.
- Knowledge Base
- Research Computing
- High-Performance Computing (HPC)
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.
- Knowledge Base
- Research Computing
- High-Performance Computing (HPC)
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.