Scalable multi-correlative statistics and principal component analysis with Titan.

Thompson, David C. ; Bennett, Janine C. ; Roe, Diana C. ; Pebay, Philippe Pierre

Sandia National Laboratories

关键词: Statistics;    Visualization.;    Information Visualization.;    Parallel Processing;    97 Mathematical Methods And Computing;   

DOI  :  10.2172/984172
RP-ID  :  SAND2009-1687
RP-ID  :  AC04-94AL85000
RP-ID  :  984172

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 multi-correlative and principal component analysis engines. It is a sequel to [PT08] which studied the parallel descriptive and correlative engines. The ease of use of these 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; then, this theoretical property is verified with test runs that demonstrate optimal parallel speed-up with up to 200 processors.