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 …

Natural complex phenomena simulation relies on the application of advanced numerical
models. Nevertheless, due to their inherent temporal and spatial computational complexity …

The rate at which lava is discharged plays a key role in controlling the distance covered by
lava flows from eruptive vents. We investigate the available time-averaged discharge rates …

In the field of wildfire risk management the so-called burn probability maps (BPMs) are
increasingly used with the aim of estimating the probability of each point of a landscape to …

This article introduces OpenCAL, a new open source computing abstraction layer for multi-
and many-core computing based on the Extended Cellular Automata general formalism …

The individuation of areas that are more likely to be impacted by new events in volcanic
regions is of fundamental relevance for mitigating possible consequences, both in terms of …

Fuel treatment is considered a suitable way to mitigate the hazard related to potential
wildfires on a landscape. However, designing an optimal spatial layout of treatment units …

Abstract “In silico” experimentation allows us to simulate the effect of different therapies by
handling model parameters. Although the computational simulation of tumors is currently a …

This paper presents the parallel implementation, using the Compute Unified Device
Architecture (CUDA) architecture, of the SCIARA-fv3 Complex Cellular Automata model for …

In recent years, the firefly algorithm (FA) has been applied with success to many classes of
optimisation problems. However, as is the case for all metaheuristic optimisation algorithms …