Elegante: A Machine Learning-Based Threads Configuration Tool for SpMV Computations on Shared Memory Architecture

Elegante: A Machine Learning-Based Threads Configuration Tool for SpMV Computations on Shared Memory Architecture

The sparse matrix–vector product (SpMV) is a fundamental computational kernel utilized in a diverse range of scientific and engineering applications. It is commonly used to solve linear and partial differential equations. The parallel computation of the SpMV product is a challenging task. Existing s...

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Bibliographic Details
Main Authors: Muhammad Ahmad, Usman Sardar, Ildar Batyrshin, Muhammad Hasnain, Khan Sajid, Grigori Sidorov
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Information
Subjects:
CSR
machine learning
SVM
high-performance computing
parallel computing
OpenMPI
Online Access:https://www.mdpi.com/2078-2489/15/11/685
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