Parallel auto-correlative statistics with VTK.

Technical Report · Thu Aug 01 00:00:00 EDT 2013

DOI:https://doi.org/10.2172/1095960· OSTI ID:1095960

Pebay, Philippe Pierre; Bennett, Janine Camille

This report summarizes existing statistical engines in VTK and presents both the serial and parallel auto-correlative statistics engines. It is a sequel to [PT08, BPRT09b, PT09, BPT09, PT10] which studied the parallel descriptive, correlative, multi-correlative, principal component analysis, contingency, k-means, and order statistics engines. The ease of use of the new parallel auto-correlative statistics engine is illustrated by the means of C++ code snippets and algorithm verification is provided. This report justifies the design of the statistics engines with parallel scalability in mind, and provides scalability and speed-up analysis results for the autocorrelative statistics engine.

• Research Organization: Sandia National Lab. (SNL-CA), Livermore, CA (United States); Kitware, France,
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• DOE Contract Number: AC04-94AL85000
• OSTI ID: 1095960
• Report Number(s): SAND2013-3435; 463505
• Country of Publication: United States
• Language: English