Novel Dynamic Partial Reconfiguration Implementation of K-Means Clustering on FPGAs: Comparative Results with GPPs and GPUs

@article{Hussain2012NovelDP,
  title={Novel Dynamic Partial Reconfiguration Implementation of K-Means Clustering on FPGAs: Comparative Results with GPPs and GPUs},
  author={Hanaa M. Hussain and Khaled Benkrid and Ali Ebrahim and Ahmet T. Erdogan and Huseyin Seker},
  journal={Int. J. Reconfig. Comp.},
  year={2012},
  volume={2012},
  pages={135926:1-135926:15}
}
K-means clustering has been widely used in processing large datasets in many fields of studies. Advancement in many data collection techniques has been generating enormous amounts of data, leaving scientists with the challenging task of processing them. Using General Purpose Processors (GPPs) to process large datasets may take a long time; therefore many acceleration methods have been proposed in the literature to speed up the processing of such large datasets. In this work, a parameterized… CONTINUE READING

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