A very interesting paper about accelerating agent-based models with graphics
cards (GPU). I placed the paper at
http://www.friam.org/DSouza_GPUacceleratedABM.pdf

-Stephen 

> -----Original Message-----
> From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] 
> Sent: Friday, December 14, 2007 7:19 AM
> To: [EMAIL PROTECTED]
> Subject: Simulating millions of agents on desktops at over 50 
> frames a sec
> 
> Steve,
> 
> I though the people in the this friam.org may be interested 
> in this topic. My group has developed what we believe are the 
> first data-parallel algorithms for agent-based model 
> simulation. We have implemented these algorithmson a GeForce 
> 8800GTX GPU. To the best of my knowledge, this prototype is 
> the fastest and most capable ABM simulator in the world.
> 
> We have achieved huge increases in performance. For example, 
> our implementation of the SugarScape model can handle 2 
> million + agents on a
> 2 million + enviroment grid size with visualization at 56 
> frames a second.
> Our implementation of Railsback's StupidModel v16 can handle 
> 2 million+ bugs (predators, reproduction, movement etc) on a 
> 4 million + environment grid at 30 frames a sec. All these 
> run on a COTS desktop costing about $1,400. It is faster than 
> the typical ABM toolkit such as NetLogo, MASON, Repast, Swarm 
> etc by nearly 4 order of magnitude for large problem sizes.
> I am including a paper that was presented at the Agent2007 conference.
> Also here is a link to the website with a few more details.
> 
> http://www.me.mtu.edu/~rmdsouza/ABM_GPU.html
> 
> Regards,
> Dr. Roshan M. D'Souza PhD
> Asst. Professor
> Dept. of ME-EM
> Michigan Tech University
> Houghton MI 49931
> Ph: 906-487-1001
> 


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