2024/06/20 by Fürst, Steffen, Conrad, Tim, Jaeger, Carlo +1
#37E25 #D.1.3 #Distributed #FOS: Computer and information sciences #I.6.5 #J.4 #Multiagent Systems (cs.MA) #Parallel #and Cluster Computing (cs.DC)
paper · doi:10.48550/arxiv.2406.14441
Agent-based models (ABMs) offer a powerful framework for understanding complex systems. However, their computational demands often become a significant barrier as the number of agents and complexity of the simulation increase. Traditional ABM platforms often struggle to fully exploit modern computing resources, hindering the development of large-scale simulations. This paper presents Vahana.jl, a high performance computing open source framework that aims to address these limitations. Building on the formalism of synchronous graph dynamical systems, Vahana.jl is especially well suited for models with a focus on (social) networks. The framework seamlessly supports distribution across multiple compute nodes, enabling simulations that would otherwise be beyond the capabilities of a single machine. Implemented in Julia, Vahana.jl leverages the interactive Read-Eval-Print Loop (REPL) environment, facilitating rapid model development and experimentation.