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

Technical Report · Sun Feb 01 00:00:00 EST 2009

DOI:https://doi.org/10.2172/984172· OSTI ID:984172

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

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.

• Research Organization: Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC04-94AL85000
• OSTI ID: 984172
• Report Number(s): SAND2009-1687; TRN: US201015%%992
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICAL METHODS AND COMPUTING
STATISTICS
T CODES
PARALLEL PROCESSING
DESIGN
Visualization.
Information visualization.
Informatics