An Efficient KNN Algorithm Implemented on FPGA Based Heterogeneous Computing System Using OpenCL

@article{Pu2015AnEK,
  title={An Efficient KNN Algorithm Implemented on FPGA Based Heterogeneous Computing System Using OpenCL},
  author={Yuliang Pu and Jun Peng and Letian Huang and John Chen},
  journal={2015 IEEE 23rd Annual International Symposium on Field-Programmable Custom Computing Machines},
  year={2015},
  pages={167-170}
}
Accurate and efficient data classification techniques are of vital importance to many problems, and are rapidly developing in recent decades. K-Nearest Neighbor algorithm (KNN), as one of the most important algorithms, is widely used in text categorization, predictive analysis, data mining and image recognition, etc. To accelerate the algorithm and to optimize the parallel implementation solution are two key issues of KNN. In this paper, we propose a new solution to speed up KNN algorithm on… CONTINUE READING
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