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

David Thompson | Zendy; Janine Camille Bennett | Zendy; Diana C. Roe | Zendy; Philippe Pébaÿ | Zendy

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

Author(s) -

David Thompson,

Janine Camille Bennett,

Diana C. Roe,

Philippe Pébaÿ

Publication year - 2009

Language(s) - English

Resource type - Reports

DOI - 10.2172/984172

Subject(s) - correlative , titan (rocket family) , computer science , scalability , principal component analysis , parallel computing , component (thermodynamics) , property (philosophy) , database , artificial intelligence , engineering , aerospace engineering , philosophy , linguistics , physics , epistemology , thermodynamics

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.

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