Programs in Physics & Physical Chemistry
|[Licence| Download | New Version Template] afaq_v1_0.tar.gz(10794 Kbytes)|
|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.
The CPPPO library contains routines to perform on-line (i.e., runtime) filtering and compute statistics on large parallel data sets.
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.
|Disclaimer | ScienceDirect | CPC Journal | CPC | QUB|