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Parallel kNN Classification Coprocessor by Hasan Çağırıcı is a document available to read on EtoBox.

What is Parallel kNN Classification Coprocessor about?

This document summarizes a semester project to design a parallel k-nearest neighbors (kNN) classification coprocessor in hardware. It describes the kNN algorithm, quantizing training data, evaluating classification accuracy using software, and designing the coprocessor hardware in VHDL targeting an FPGA. The hardware design achieves over 4 million classifications per second, outperforming software implementations by around 4000x. Tools are presented to generate test ROM files from data and assess the hardwa

Author

Hasan Çağırıcı

Language

EN