1. Vahana.jl -- A framework (not only) for large-scale agent-based models
- Author
-
Fürst, Steffen, Conrad, Tim, Jaeger, Carlo, and Wolf, Sarah
- Subjects
Computer Science - Multiagent Systems ,Computer Science - Distributed, Parallel, and Cluster Computing ,37E25 ,D.1.3 ,I.6.5 ,J.4 - Abstract
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.
- Published
- 2024