GPU-Vote: A Framework for Accelerating Voting Algorithms on GPU

@inproceedings{Braak2012GPUVoteAF,
  title={GPU-Vote: A Framework for Accelerating Voting Algorithms on GPU},
  author={Gert-Jan van den Braak and Cedric Nugteren and Bart Mesman and Henk Corporaal},
  booktitle={Euro-Par},
  year={2012}
}
Voting algorithms, such as histogram and Hough transforms, are frequently used algorithms in various domains, such as statistics and image processing. Algorithms in these domains may be accelerated using GPUs. Implementing voting algorithms efficiently on a GPU however is far from trivial due to irregularities and unpredictable memory accesses. Existing GPU implementations therefore target only specific voting algorithms while we propose in this work a methodology which targets voting… CONTINUE READING
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Key Quantitative Results

  • Compared to recently published GPU implementations of the Hough transform and the histogram algorithms, gpu-vote yields a 11% and 38% lower execution time respectively.

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