Multi-agent System with Multiple Group Modelling for Bird Flocking on GPU

Birds flocking is an interesting natural phenomenon to study as proven by numerous papers in this field. In this paper, we present a GPGPU model for birds flocking simulation using NVIDIA's CUDA framework. This technology has been widely adopted in computational science and have dramatically increased computation performances. Using the autonomous agent approach with multi-agents and multiple groups for birds flocking modeling, we present the ACIADDRI model both aggregate motion of a large number of birds in virtual environment and other species or predators avoidance in the plane as well. From these experiments we gained significant performance improvements in the terms of speedup. In conclusion, the work shows that the use of the CUDA technology can be effective to cut computational costs also in multi-agent modeling.