Massive Simulation using GPU of a distributed behavioral model of a flock with obstacle avoidance Export

@inproceedings{citeulike:4057203, abstract = {In this work, we present a massive simulation of a behavioral model using graphics hardware. In particular we took a well established model to simulate complex flocks and we focused our attention on its implementation using techniques to manage efficiently large amount of data. Using the recent programmability of GPUs and recent extensions of computer graphics programming, we implemented on the graphics hardware the model capable of managing a large aggregate motion of birds in a virtual environment as well as to avoiding both static and dynamic obstacles. We demonstrated the effectiveness of our GPU implementation when compared with CPU according to recent trends that show graphics hardware capable of also working outside of its natural application field.}, author = {Erra, Ugo and De Chiara, Rosario and Scarano, Vittorio and Tatafiore, Maurizio}, booktitle = {Proceedings of Vision, Modeling and Visualization 2004 (VMV)}, citeulike-article-id = {4057203}, citeulike-linkout-0 = {http://wonderland.dia.unisa.it/projects/gebs/}, day = {16-18}, keywords = {bird\_flight, birds, boids, distributed, flock, gpgpu, obstacle\_avoidance, simulation, steering}, location = {Stanford (California), USA}, month = {November}, posted-at = {2009-02-16 01:55:52}, priority = {0}, title = {Massive Simulation using GPU of a distributed behavioral model of a flock with obstacle avoidance}, url = {http://wonderland.dia.unisa.it/projects/gebs/}, year = {2004} }

TY - CONF ID - citeulike:4057203 L3 - citeulike-article-id:4057203 N2 - In this work, we present a massive simulation of a behavioral model using graphics hardware. In particular we took a well established model to simulate complex flocks and we focused our attention on its implementation using techniques to manage efficiently large amount of data. Using the recent programmability of GPUs and recent extensions of computer graphics programming, we implemented on the graphics hardware the model capable of managing a large aggregate motion of birds in a virtual environment as well as to avoiding both static and dynamic obstacles. We demonstrated the effectiveness of our GPU implementation when compared with CPU according to recent trends that show graphics hardware capable of also working outside of its natural application field. CY - Stanford (California), USA TI - Massive Simulation using GPU of a distributed behavioral model of a flock with obstacle avoidance T2 - Proceedings of Vision, Modeling and Visualization 2004 (VMV) KW - bird_flight KW - birds KW - boids KW - distributed KW - flock KW - gpgpu KW - obstacle_avoidance KW - simulation KW - steering AU - Erra, Ugo AU - De Chiara, Rosario AU - Scarano, Vittorio AU - Tatafiore, Maurizio PY - 2004/11/16-18/ UR - http://wonderland.dia.unisa.it/projects/gebs/ ER -