This paper presents the architecture, main components and performance results for a parallel and modu-lar agent-based environment aimed at crowd simulation. The environment allows to simulate thousandsor more agents on maps of square kilometers or more, features a modular design and incorporates non-volatile RAM (NVRAM) with a fail-safe mode that can be activated to allow to continue computationsfrom a recently analyzed state in case of a failure. We show results for an evacuation scenario for an areaof up to 6 km2in a district of Gdansk, Poland, performed on two clusters, one with hardware simulationof NVRAM. We have shown a very small overhead of using NVRAM compared to the RAM only solutionand an overhead of 20% with the fail-safe mode on using NVRAM, shown up to 30 000 agents and up to25 000 iterations of the simulation. We also show the benefit of using NVRAM for file synchronizationwith a slow growth of the execution time while increasing the map size. We then present how the fre-quency of visualization affects execution time and very good scaling of the proposed solution in a clusterenvironment for more than 650 processes and 60 000 agents.
Authors
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1016/j.jocs.2019.04.004
- Category
- Publikacja w czasopiśmie
- Type
- artykuł w czasopiśmie wyróżnionym w JCR
- Language
- angielski
- Publication year
- 2019
