基于R的并行统计计算  

Parallel Statistical Computing with R

作　　者：宋磊[1] 尹俊平[1] 陈虹[1] 

机构地区：[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　　处：《计算机科学》2013年第3期95-99,共5页Computer Science

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.

关 键 词：R 统计分析 高性能计算 并行统计计算 

分 类 号：TP31[自动化与计算机技术—计算机软件与理论]