With modern laboratory data generation expanding exponentially across genomics and particle physics, access to high-performance computing (HPC) clusters has become a critical bottleneck for student research training. How do your departments manage cluster allocations when balancing faculty research demands against undergraduate pedagogical needs? What creative structural frameworks or cloud-computing partnerships have you implemented to ensure undergraduates gain essential quantitative data literacy without exhausting departmental compute budgets?
