计算机工程与应用2017，Vol.53Issue(11)：31-38,89,9.DOI:10.3778/j.issn.1002-8331.1702-0002
并行机器学习算法基础体系前沿进展综述
Recent advances in infrastructure architecture of parallel machine learning algorithms
摘要
Abstract
With the development of big data, machine learning algorithms have received unprecedented attention. This paper makes a summary and analysis of several problems about parallel machine learning algorithms in big data, then provides an overview of the recent advances in parallel machine learning algorithms based on modern parallel computers. This paper also concludes and summarizes the existing problem in infrastructure architecture of parallel machine learning algorithms. The paper highlights the recent progress and challenges in parallel machine algorithms for big data and discusses on some future directions.关键词
并行计算/机器学习算法/多核/集群/混合体系Key words
parallel computing/machine learning algorithm/multi-core/cluster/hybrid architecture分类
信息技术与安全科学引用本文复制引用
刘斌,何进荣,耿耀君,王最..并行机器学习算法基础体系前沿进展综述[J].计算机工程与应用,2017,53(11):31-38,89,9.基金项目
国家自然科学基金(No.61602388) （No.61602388）
陕西省博士后基金(No.2016BSHEDZZ121) （No.2016BSHEDZZ121）
中央高校基本科研业务费专项资金(No.2452015194,No.2452016081). （No.2452015194,No.2452016081）
