UGA’s Georgia Advanced Computing Resource Center announced a series of April workshops to help Sapelo2 users make better use of the university’s high-performance computing infrastructure. The training sessions cover practical skills including job scheduling, CPU and GPU resource requests, software installation in virtual environments, and parallelization using GNU Parallel and Slurm arrays.
These training opportunities support the Systems Modeling and Data Analytics Core by expanding campus capacity for large-scale biomedical computation. As Precision One Health projects increasingly rely on genomics, imaging, simulation, machine learning, and other data-intensive workflows, shared training in high-performance computing helps researchers move from complex datasets to reproducible, scalable analysis.