Massively parallel computing: a statistical application

被引：0
作者：
A. BENN
R. KULPERGER
机构：
[1] The University of Western Ontario,Department of Statistical and Actuarial Sciences
来源：
Statistics and Computing | 1998年 / 8卷
关键词：
Massively parallel computing; image; correlation spectroscopy; Fourier transform; periodogram; inference; parallel algorithms;
D O I：
暂无
中图分类号：
学科分类号：
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.
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页码：309 / 318
页数：9
相关论文
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