Towards one million flocking boids using CUDA (real-time)
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Uploaded by ber85it on Nov 23, 2008
Results (update stage only):
- 2^16 (65K): 47 fps;
- 2^17 (131K): 29 fps;
- 2^18 (262K): 14 fps;
- 2^19 (524K): 6 fps.
Simulation details:
- Full-GPU, nVidia CUDA 2.0;
- Each boid looks at 7 nearest neighbors within a search radius equal to 9;
- OpenSteer compatible;
- Guaranteed high precision behavior computation, comparated with the original Reynold's implementation on OpenSteer.
Hardware details:
- Intel Core 2 2180;
- 2Gb RAM;
- nVidia GeForce 8800GTX 768Mb.
ISISLab - University of Salerno - Italy
Link to this comment:
Uploader Comments (ber85it)
All Comments (7)
-
Damn, that's 10^3 times more boids than i can run on a quad-core while maintaining over 3 fps average. Got some pretty big overhead for collision detection, bounds and predators though.
-
fuckin generic musc man
-
or gtx285 3 way sli!!!!!
-
Awesome stuff! Great music btw - which song is played in bg?
-
image what you could have done with a 295SLi
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Impressive! 512K boids and a decent 6 FPS (regarding the HUGE number of boids)!!!
I sent you a message did you read it?
Regards,
Nad.
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GTX 295 SLi needed?
sonofhendrix 2 years ago
1 X 8800GTX
ber85it 2 years ago