Steffen Fürst
Steffen Fürst, having studied mathematics with a focus on economics and social science, has spent the past 15 years working on various agent-based models. In the most recent 5 years, his focus has been particularly on high-performance computing environments.
Session
08-13
11:15
15min
Scalable Agent-Based Modeling: Understanding and Addressing Partitioning Challenges
Steffen Fürst
Effective partitioning is important for the scalability of agent-based modeling (ABM) on HPC systems, but existing methods do not meet the specific challenges of complex ABMs. These usually involve heterogeneous agent types with phase-based execution, dynamic population changes, and moving agents. This talk presents ongoing research developing specialized partitioning algorithms for distributed ABMs, including a benchmark framework and the development of specialized Julia packages.
Julia for HPC Minisymposium
Room 3