In this paper, we discuss the critical role of simulation input modeling in a successful simulation study. Two pitfalls in simulation input modeling are then presented and we expl...
We present a parallel cloth simulation engine designed for distributed memory parallel architectures, in particular clusters built of commodity components. We focus on efficient ...
We describe an architecture for massive simulation of a distributed behavioral model using graphics hardware. By leveraging on the recent programmable capabilities of GPUs we impl...
Immersive real-time large-scale network simulation is a technique that supports simulation of large-scale networks to interact with real implementations of network protocols, netw...
The analysis of discrete stochastic models such as generally distributed stochastic Petri nets can be done using state space-based methods. The behavior of the model is described ...