Parallel contingency statistics with Titan.

Thompson, David C. ; Pebay, Philippe Pierre

Sandia National Laboratories

关键词: V Codes;    Statistics;    Computer Calculations;    Parallel Processing;    97 Mathematical Methods And Computing;   

DOI  :  10.2172/993626
RP-ID  :  SAND2009-6006
RP-ID  :  AC04-94AL85000
RP-ID  :  993626

美国|英语

来源: UNT Digital Library

【 摘 要 】

This report summarizes existing statistical engines in VTK/Titan and presents the recently parallelized contingency statistics engine. It is a sequel to [PT08] and [BPRT09] which studied the parallel descriptive, correlative, multi-correlative, and principal component analysis engines. The ease of use of this new parallel engines is illustrated by the means of C++ code snippets. Furthermore, this report justifies the design of these engines with parallel scalability in mind; however, the very nature of contingency tables prevent this new engine from exhibiting optimal parallel speed-up as the aforementioned engines do. This report therefore discusses the design trade-offs we made and study performance with up to 200 processors.