An Efficient Selection-Based kNN Architecture for Smart Embedded Hardware Accelerators

An Efficient Selection-Based kNN Architecture for Smart Embedded Hardware Accelerators

K-Nearest Neighbor (kNN) is an efficient algorithm used in many applications, e.g., text categorization, data mining, and predictive analysis. Despite having a high computational complexity, kNN is a candidate for hardware acceleration since it is a parallelizable algorithm. This paper presents an e...

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Bibliographic Details
Main Authors: Hamoud Younes, Ali Ibrahim, Mostafa Rizk, Maurizio Valle
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Open Journal of Circuits and Systems
Subjects:
Approximate computing
embedded implementation
energy efficiency
fPGA
hardware accelerators
high level synthesis
Online Access:https://ieeexplore.ieee.org/document/9525449/

Internet

https://ieeexplore.ieee.org/document/9525449/

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