The Agricultural Research Institute (ARI) aimed to adapt a computational pipeline to High-Performance Computing (HPC) to enhance agricultural research. The initial focus was on the feasibility of installing the RStudio Server on the CYCLONE HPC infrastructure, taking cues from successful setups at Princeton University and Iowa State University. The goal was to harness RStudio’s statistical computing alongside CYCLONE’s computational resources for managing extensive agricultural datasets. Upon confirming the feasibility, the next step was adapting the computational pipeline for HPC. This involved detailed planning and execution to ensure the seamless integration and utilization of HPC resources. The objective was to establish a scalable, efficient, and robust pipeline to manage diverse datasets crucial for modern agriculture.
The successful adaptation of the pipeline on CYCLONE significantly accelerated computational tasks, enabling more efficient analysis of large-scale data. This has enhanced ARI’s ability to explore innovative agricultural strategies through data-driven insights. The project not only improved ARI’s research capacity but also set a precedent for other research institutions in Europe, showcasing the potential of HPC in advancing agricultural research and development.