RPkNN: An OpenCL-Based FPGA Implementation of the Dimensionality-Reduced kNN Algorithm Using Random Projection

IEEE Transactions on Very Large Scale Integration (VLSI) Systems(2022)

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摘要
Due to the so-called curse of dimensionality and increase in the size of databases, there is an ever-increasing demand for computing resources and memory bandwidth when performing the k-nearest neighbors (kNNs) algorithm, resulting in a slow-down to process large datasets. This work presents an OpenCL-based framework for accelerating the kNN algorithm on field-programmable gate arrays (FPGAs) bene...
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关键词
Field programmable gate arrays,Computer architecture,Random access memory,Kernel,Hardware,Sparse matrices,Bandwidth
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