Due to decelerating gains in single-core CPU performance, computationally expensive
simulations are increasingly executed on highly parallel hardware platforms. Agent-based …

Background In recent years, the study of immune response behaviour using bottom up
approach, Agent Based Modeling (ABM), has attracted considerable efforts. The ABM …

We present a set of algorithms for simulating and visualizing real-time crowds in GPU
(Graphics Processing Units) clusters. First we present crowd simulation and rendering …

Road network microsimulation is computationally expensive, and existing state of the art
commercial tools use task parallelism and coarse-grained data-parallelism for multi-core …

Agent based modelling (ABM) offers a powerful abstraction for scientific study in a broad
range of domains. The use of agent based simulators encourages good software …

FLAME GPU is an agent based simulation frame-work that utilises the parallel architecture of
Graphic Processing Unit (GPU) to enable real time model interaction and visualisation. In …

This chapter presents the latest stage of the FLAME development—the high-performance
environment FLAME-II and the parallel architecture designed for Graphics Processing Units …

Agent-based models (ABMs) are increasingly being used to study population dynamics in
complex systems, such as the human immune system. Previously, Folcik et al.(The basic …

Agents within multi-agent simulation environments frequently compete for limited resources,
requiring negotiation to resolve 'conflict'. The negotiation process for resolving conflict often …

Представлен новый подход к моделированию пространственной динамики наземных
беспилотных транспортных средств (БТС) и обычных транспортных средств (ОТС) с …