Pathways to Actionable ModSim for Computing Infrastructure by Kevin Brown

Large computing facilities have become critical resources across many research areas such as high energy physics, climate science, and artificial intelligence. Modeling and simulation (ModSim) of this infrastructure has become essential to ensuring they are deployed and managed to meet productivity and efficiency goals. However, ModSim methodologies currently lack the maturity to accurately predict the behavior of these infrastructure at scale with the required fidelity. There is a need for more actionable models of these important facilities to support design and operational decision-making. This talk explores challenges in ModSim for large-scale computing infrastructure. It will discuss limitations of current methodologies – such as discrete event and agent-based modelling – in heterogeneous environments and present novel hybrid modelling strategies for more scalable and accurate simulations. Finally, it will highlight opportunities in the wider research ecosystem for advancing the field of ModSim and co-design of large-scale computing facilities and infrastructure.