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Manuscript Title: Highly efficient spatial data filtering in parallel using the opensource library CPPPO
Authors: Federico Municchi, Stefan Radl, Christoph Goniva
Program title: CPPPO
Catalogue identifier: AFAQ_v1_0
Distribution format: tar.gz
Journal reference: Comput. Phys. Commun. 207(2016)400
Programming language: C++, MPI, octave.
Computer: Linux based clusters for HPC or workstations.
Operating system: Linux based.
Keywords: Multi-scale closure models, Parallel filtering, Post processing, MPI.
Classification: 4.14, 6.5, 12.

External routines: Qt5, hdf5-1.8.15, jsonlab, OpenFOAM/CFDEM, Octave/Matlab

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.

Solution method:
The CPPPO library contains routines to perform on-line (i.e., runtime) filtering and compute statistics on large parallel data sets.

Running time:
Performing a Favre averaging on a structured mesh of 1283 cells with a filter size of 643 cells using one Intel Xeon(R) E5-2650, requires approximately 4 h of computation.