Cellular Automata (CA) have been introduced many decades ago as one of the most
efficient parallel computational models able to simulate various physical processes and …

Pedestrian and crowd dynamics are physical phenomena that are fundamentally
characterized by non-linear complexity. In the same time, the need of modern way of living …

The performance and scalability of cellular automata, when executed on parallel/distributed
machines, are limited by the necessity of synchronizing all the nodes at each time step, ie, a …

A fully-coupled from surface to groundwater hydrological model is being developed based
on the Extended Cellular Automata formalism (XCA), which proves to be very suitable for …

Partitioning computational load over different processing elements is a crucial issue in
parallel computing. This is particularly relevant in the case of parallel execution of structured …

We propose a new approach for using GPUs in large scale simulations of pedestrian
evacuation. The Social Distances Model is designed for efficient modeling of pedestrian …

This work presents an effective implementation of a numerical model for complete eco-
hydrological Cellular Automata modeling on Graphical Processing Units (GPU) with …

Abstract The Cellular Automata (CA) paradigm is well-suited to model complex systems
based on local rules of evolution such as those related to fluid-dynamics, crowd simulation …

A computationally efficient surface to groundwater coupled hydrological model is being
developed based on the Extended Cellular Automata (XCA) formalism. The three …

We here present computational results as performed by the new OpenCAL scientific library
for seamless implementation of models referred to Computational Fluid Dynamics (CFD). In …