OpenCAL is a scientific software library specifically developed for the simulation of 2D and
3D complex dynamical systems on parallel computational devices. It is written in C/C++ and …

The allocation of the computational load across different processing elements is an
important issue in parallel computing. Indeed, an unbalanced load distribution can strongly …

The Cellular Automata paradigm is an efficient tool to model and study complex systems
such as traffic simulation, lava flows and swarm based behaviour. In addition, cellular …

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 …

In this paper, techniques for dynamic load balancing of the cellular automata parallel
execution are presented for the case of domain space partitioned along two dimensions …

This work is focused on the transparent execution of Cellular Automata models on a multi-
GPU architecture. Although Cellular Automata models can be easily parallelized on a single …

Cellular Automata (CA) are discrete simulation models, thus producing spatio-temporal data
through experiments, as well as stochastic models, thus generating multi-run data …

In the field of computational biology, in order to simulate multiscale biological systems, the
Cellular Potts Model (CPM) has been used, which determines the actions that simulated …

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 …

Cellular Automata (CA) models, initially studied by John von Neumann, have been
developed by numerous researchers and applied in both academic and scientific fields …