10240

GPGPU Implementation of a Generative Modelling Language

Martin Griffin, Aidan Delaney, Karina Rodriguez Echavarria
University of Brighton
The 19th International Conference on Distributed Multimedia Systems, 2013

@article{griffin2013gpgpu,

   title={GPGPU Implementation of a Generative Modelling Language},

   author={Griffin, Martin and Delaney, Aidan and Echavarria, Karina Rodriguez},

   year={2013}

}

We record and digitally preserve public monuments by describing them using a generative language. Such generative models allow visualisations of the monuments to be computed from descriptions that are suitable for transmission to personal mobile devices. The intent of using a personal mobile device is to make the cultural heritage experience more personal to the user. We present an implementation of a generative modelling language used primarily to describe tangible cultural heritage. Our implementation is the first to make explicit use of GPGPU computation. As such, it allows generative models to be computed on mobile devices where, currently, the GPU processing power significantly outweighs the available CPU power.
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