一个可选的基于c++的Hadoop MapReduce HPC系统

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2022-01-01 DOI:10.1515/comp-2022-0246

Vignesh Srinivasakumar, Muthumanikandan Vanamoorthy, Siddarth Sairaj, S. Ganesh

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引用次数: 0

摘要

MapReduce (MR)是一种用于大幅度改进分布式数据处理的技术，可以大大提高计算速度。Hadoop和MR依赖于内存密集型的JVM和Java。可以使用基于高性能计算(HPC)的MR框架，它既节省内存，又比标准MR更快。本文从开发人员友好性、部署接口、效率和可伸缩性等多个因素探讨了基于c++的MR方法及其可行性。本文还介绍了热切约简和延迟约简技术，以加快MR的速度。

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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An alternative C++-based HPC system for Hadoop MapReduce

Abstract MapReduce (MR) is a technique used to improve distributed data processing vastly and can massively speed up computation. Hadoop and MR rely on memory-intensive JVM and Java. A MR framework based on High-Performance Computing (HPC) could be used, which is both memory-efficient and faster than standard MR. This article explores a C++-based approach to MR and its feasibility on multiple factors like developer friendliness, deployment interface, efficiency, and scalability. This article also introduces Eager Reduction and Delayed Reduction techniques to speed up MR.

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.

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