Robotics & Machine Learning Daily News2024,Issue(Dec.6) :56-57.

Studies in the Area of Machine Learning Reported from Instituto Politecnico Naci onal (Elegante: A Machine Learning-Based Threads Configuration Tool for SpMV Com putations on Shared Memory Architecture)

Politecnico Naci onal研究所报道的机器学习领域的研究(Elegante:一个基于机器学习的线程配置工具,用于共享内存结构的SpMV计算)

Robotics & Machine Learning Daily News2024,Issue(Dec.6) :56-57.

Studies in the Area of Machine Learning Reported from Instituto Politecnico Naci onal (Elegante: A Machine Learning-Based Threads Configuration Tool for SpMV Com putations on Shared Memory Architecture)

Politecnico Naci onal研究所报道的机器学习领域的研究(Elegante:一个基于机器学习的线程配置工具,用于共享内存结构的SpMV计算)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于人工智能的详细数据已经呈现。据新闻报道NewsRx记者从墨西哥墨西哥城报道,研究称,“稀疏矩阵矢量”产品(SpMV)是一个基本的计算内核,用于各种科学和技术领域工程应用。它通常用于求解线性和偏微分方程。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on artificial intelligen ce have been presented. According to newsreporting from Mexico City, Mexico, by NewsRx journalists, research stated, “The sparse matrix-vectorproduct (SpMV) i s a fundamental computational kernel utilized in a diverse range of scientific a ndengineering applications. It is commonly used to solve linear and partial dif ferential equations.”

Key words

Instituto Politecnico Nacional/Mexico C ity/Mexico/North and Central America/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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