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GPU Computing and CUDA technology used to accelerate a mesh generator application

Adriana Gaudiani, Santiago Montiel, Javier Pimas
Instituto de Ciencias, Universidad Nacional de General Sarmiento, San Miguel, Buenos Aires, Argentina
The 2012 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA’12), 2012

@article{gaudiani2012gpu,

   title={GPU Computing and CUDA technology used to accelerate a mesh generator application},

   author={Gaudiani, A. and Montiel, S. and Pim{‘a}s, J.},

   year={2012}

}

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The potential of GPU computing used in general purpose parallel programming has been amply shown. These massively parallel many-core multiprocessors are available to any users in every PCs, notebook, game console or workstation. In this work, we present the parallel version of a mesh-generating algorithm and its execution time reduction by using off-the-shelf GPU technology. We use commodities GPUs as a useful CPU co-processor to improve this kind of applications, characterized by a high level of data parallelism. Compared to the sequential algorithm, our techniques achieve 6X overall performance for GPU-CPU implementation; furthermore we achieve 50X speedup when implementing core operations of the algorithm. Results show that GPU provides a helpful platform for high performance computing to improve the execution time of these applications.
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