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。
The ever-growing size and complexity of modern data sets in statistical analysis constantly challenge the ca- pabilities 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 sta- tistical 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. Test of synthetic code and real application show effectiveness of these implementations.
出处
《计算机科学》
CSCD
北大核心
2013年第3期95-99,共5页
Computer Science
关键词
R
统计分析
高性能计算
并行统计计算
R, Statistical analysis, High performance computing, Parallel statistical computing