计算机科学 ›› 2013, Vol. 40 ›› Issue (3): 95-99.

• 2012多值逻辑专栏 • 上一篇    下一篇

基于R的并行统计计算

宋 磊,尹俊平,陈 虹   

  1. (北京应用物理与计算数学研究所高性能计算中心 北京100092)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Parallel Statistical Computing with R

  • Online:2018-11-16 Published:2018-11-16

摘要: 随着统计分析中数据规模和复杂性的不断增加,高性能计算也开始在金融、经济和管理等统计计算主导的领域中发挥重要的作用。将对基于R的统计分析中并行计算技术的发展现状和最新进展做一个综述,重点从用户的角度考察R在不同体系结构计算平台上并行统计计算的实现。一个人造和真实应用的测试表明了其应用效果。

关键词: R,统计分析,高性能计算,并行统计计算

Abstract: The ever-growing size and complexity of modern data sets in statistical analysis constantly challenge the capabilities of existing statistical computing methods. High-performance statistical computing is a promising strategy to address these challenges and begins to play an important role in finance, economy, and government and so on where statistical computing is dominant. A survey on state of the art in parallel statistical computing, especially with R and within the last four years was given. Furthermore, special attention on implementations of parallel statistical computing with R under different computer systems in a users’perspective was presented. Lest of synthetic code and real application show effectiveness of these implementations.

Key words: R, Statistical analysis, High performance computing, Parallel statistical computing

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