I/O-signature-based feature analysis and classification of high-performance computing applications

IF 3.6 3区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Cluster Computing-The Journal of Networks Software Tools and Applications Pub Date : 2023-09-24 DOI:10.1007/s10586-023-04139-y

Ju-Won Park, Xin Huang, Jae-Kook Lee, Taeyoung Hong

引用次数: 0

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基于I/ o特征的高性能计算应用特征分析与分类

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Cluster Computing-The Journal of Networks Software Tools and Applications 工程技术-计算机：理论方法

CiteScore

9.70

自引率

13.60%

发文量

298

审稿时长

3.0 months

期刊介绍： Cluster Computing addresses the latest results in these fields that support High Performance Distributed Computing (HPDC). In HPDC environments, parallel and/or distributed computing techniques are applied to the solution of computationally intensive applications across networks of computers. The journal represents an important source of information for the growing number of researchers, developers and users of HPDC environments. Cluster Computing: the Journal of Networks, Software Tools and Applications provides a forum for presenting the latest research and technology in the fields of parallel processing, distributed computing systems and computer networks.