Elegante+: A Machine Learning-Based Optimization Framework for Sparse Matrix–Vector Computations on the CPU Architecture

Sparse matrix–vector multiplication (SpMV) plays a significant role in the computational costs of many scientific applications such as 2D/3D robotics, power network problems, and computer vision. Numerous implementations using different sparse matrix formats have been introduced to optimize this ker...

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Principais autores:	Muhammad Ahmad, Sardar Usman, Ameer Hamza, Muhammad Muzamil, Ildar Batyrshin
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-06-01
coleção:	Information
Assuntos:	SpMV machine learning high-performance computing SVM CSR sparse matrix
Acesso em linha:	https://www.mdpi.com/2078-2489/16/7/553
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