Parallel Approaches for SNN-Based Nearest Neighbor Search in High-Dimensional Embedding Spaces: Application to Face Recognition

The rapid growth of high-dimensional biometric data requires fast and accurate similarity search methods for real-time applications. This study proposes, for the first time, two efficient parallel implementations of the exact Sorting-based Nearest Neighbor (SNN) algorithm using OpenMP for CPUs and C...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Lesia Mochurad, Roman Kapustiak
Format:	Article
Language:	English
Published:	MDPI AG 2025-09-01
Subjects:	SNN method parallel computing facial embeddings nearest neighbor search high-dimensional data CPU and GPU acceleration
Online Access:	https://www.mdpi.com/2076-3417/15/18/10139