The technology to support agent-based modeling for supercomputers
Importance The article discusses specialized software to implement agent-based models in supercomputers, and describes Supercomputer Technology for Agent-oRiented Simulation - STARS. Objectives The research sets up a multi-agent demographic model, which has the interface to demonstrate changes in the main demographic indicators of the region's population. We devise a methodology to effectively reflect the computing core of the multi-agent system in relation to the architecture of modern supercomputer. Methods We apply the internode communication technology through the active messaging technology that allows to significantly increase the productivity of multi-agent models. Results STARS facilitates the implementation of online modeling and online visualization of the simulation process within the estimated time. Currently, it is possible only if there is a monopolistic access to supercomputer. To make large-scale experiments with more complicated agents, a more productive and data intensive supercomputer will be needed. Conclusions and Relevance As the largest IT-market actors (Microsoft, Wolfram, ESRI, etc.) got more interested in AOM, the instrument proves to have good prospects and promising future. Supercomputing technologies and their application turn out to be reasonable and practicable, considering exponential growth in total data volume and the need to build analytical systems for obtaining new generation data required to predict social phenomena.