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

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

关键词: STATISTICS;    T CODES;    PARALLEL PROCESSING;    DESIGN Visualization.;    Information visualization.;    Informatics;   

DOI  :  10.2172/984172
RP-ID  :  SAND2009-1687
PID  :  OSTI ID: 984172
Others  :  TRN: US201015%%992

学科分类：数学（综合）

美国|英语

来源: SciTech Connect

【 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.