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Adaptive Work-Efficient Connected Components on the GPU

Distributed, Parallel, and Cluster Computing 2016-12-06 v1 Data Structures and Algorithms
Authors: Michael Sutton , Tal Ben-Nun , Amnon Barak , Sreepathi Pai , Keshav Pingali
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Abstract

This report presents an adaptive work-efficient approach for implementing the Connected Components algorithm on GPUs. The results show a considerable increase in performance (up to 6.8×\times) over current state-of-the-art solutions.

Keywords

gpu computing fpga accelerator computer architecture

Cite

@article{arxiv.1612.01178,
  title  = {Adaptive Work-Efficient Connected Components on the GPU},
  author = {Michael Sutton and Tal Ben-Nun and Amnon Barak and Sreepathi Pai and Keshav Pingali},
  journal= {arXiv preprint arXiv:1612.01178},
  year   = {2016}
}

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4 pages

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