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

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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Bibliographic Details
Main Authors: Muhammad Ahmad, Sardar Usman, Ameer Hamza, Muhammad Muzamil, Ildar Batyrshin
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Information
Subjects:
SpMV
machine learning
high-performance computing
SVM
CSR
sparse matrix
Online Access:https://www.mdpi.com/2078-2489/16/7/553
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