Highly efficient spatial data filtering in parallel using the opensource library CPPPO

Published: 01-10-2016| Version 1 | DOI: 10.17632/tfvvthfvz7.1
Federico Municchi,
Christoph Goniva,
Stefan Radl


This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract CPPPO is a compilation of parallel data processing routines developed with the aim to create a library for “scale bridging” (i.e. connecting different scales by mean of closure models) in a multi-scale approach. CPPPO features a number of parallel filtering algorithms designed for use with structured and unstructured Eulerian meshes, as well as Lagrangian data sets. In addition, data can be processed on the fly, allowing the collection of relevant statistics without saving individual snapshot... Title of program: CPPPO Catalogue Id: AFAQ_v1_0 Nature of problem Development of closure models for momentum, species transport and heat transfer in fluid and fluid-particle systems using purely Eulerian or Euler-Lagrange simulators. Versions of this program held in the CPC repository in Mendeley Data AFAQ_v1_0; CPPPO; 10.1016/j.cpc.2016.05.026