An Architecture for Distributed Behavioral Models with GPUs
ISISLab – Dipartimento di Informatica ed Applicazioni “R.M. Capocelli”, Universita di Salerno
Eurographics Italian Chapter Conference, 2006. p.197-203
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 implemented the model capable of managing a large aggregate motion of birds in a virtual environment that can avoid both static and dynamic obstacles. We demonstrate the effectiveness of our GPU implementation by comparing the results to a CPU implementation and, emphasize the modularity of the proposed architecture that favors reusability in several contexts.
January 15, 2011 by hgpu