Massively parallel computing: a statistical application

作     者：Benn, A Kulperger, R 

作者机构：Univ Western Ontario Dept Stat & Actuarial Sci London ON N6A 5B7 Canada 

出 版 物：《STATISTICS AND COMPUTING》 (统计学与计算)

年 卷 期：1998年第8卷第4期

页      面：309-318页

核心收录：

学科分类：0202[经济学-应用经济学] 02[经济学] 020208[经济学-统计学] 07[理学] 0714[理学-统计学（可授理学、经济学学位）] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Natural Sciences and Engineering Research Council of Canada  NSERC 

主　　题：massively parallel computing image correlation spectroscopy Fourier transform periodogram inference parallel algorithms 

摘      要：Massively parallel computing is a computing environment with thousands of subprocessors. It requires some special programming methods, but is well suited to certain imaging problems. One such statistical example is discussed in this paper. In addition there are other natural statistical problems for which this technology is well suited. This paper describes our experience, as statisticians, with a massively parallel computer in a problem of image correlation spectroscopy. Even with this computing environment some direct computations would still take in the order of a year to finish. It is shown that some of the algorithms of interest can be made parallel.