Dynamic load balancing on GPU clusters for large-scale K-Means clustering

@article{Kijsipongse2012DynamicLB,
  title={Dynamic load balancing on GPU clusters for large-scale K-Means clustering},
  author={Ekasit Kijsipongse and Suriya U-ruekolan},
  journal={2012 Ninth International Conference on Computer Science and Software Engineering (JCSSE)},
  year={2012},
  pages={346-350}
}
K-Means is the clustering algorithm which is widely used in many areas such as information retrieval, computer vision and pattern recognition. With the recent advance in General Purpose Graphics Processing Unit (GPGPU), we can use a modern GPU which is capable to do computation up to Tflops to calculate K-Means clustering on average problems. However, due to the exponential growth of data, the K-Means clustering on a single GPU will not be adequate for large datasets in the near future. In this… CONTINUE READING

References

Publications referenced by this paper.
SHOWING 1-10 OF 13 REFERENCES

Similar Papers

Loading similar papers…