An adaptive FPGA implementation of multi-core K-nearest neighbour ensemble classifier using dynamic partial reconfiguration

@article{Hussain2012AnAF,
  title={An adaptive FPGA implementation of multi-core K-nearest neighbour ensemble classifier using dynamic partial reconfiguration},
  author={Hanaa M. Hussain and Khaled Benkrid and Chuan Hong and Huseyin Seker},
  journal={22nd International Conference on Field Programmable Logic and Applications (FPL)},
  year={2012},
  pages={627-630}
}
Classification of highly dimensional Microarray data using K-nearest neighbour (K-NN) is a time-consuming task when implemented on general purpose processors (GPPs), and such it can benefit greatly from a parallel hardware implementation. In this work, an FPGA implementation of the K-NN classifier is presented and compared with an equivalent implementation running on GPP. Then, a novel FPGA-based multi-core implementation of the K-NN ensemble classifier, which exploits dynamic partial… CONTINUE READING

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