Method Development Unit

This project develops novel partitioning strategies for high-performance agent-based simulations. It addresses the unique requirements of complex models by creating algorithms that simultaneously account for heterogeneous agent types, dynamic graph structures, and spatial relationships. Traditional partitioning methods often fail in this context, creating computational bottlenecks. The mathematical advancements will be integrated into Vahana.jl, an open-source high-performance framework used, e.g., for mobility modeling related to MATH+.