pyQvarsi 3.2.0

Quick Visualization, Analysis and Reporting of SImulations Python module (in short pyQvarsi)

Quick Visualization, Analysis and Reporting of SImulations Python module

The Quick Visualization, Analysis and Reporting of SImulations Python module (in short pyQvarsi) are a set of tools developed in python to interface with CFD codes using mpi-enabled tools to compute post-processing quantities in parallel.

This tool has been developed with Python 3 in mind and might not be compatible with lower version of Python.

The instructions on how to use pyQvarsi can be found in its wiki. In particular, on the left sidebar there are thorough instructions on how to build and deploy this tool on various platforms. The user is referred there for detailed instructions and also to find a bit of a manual on how pyQvarsi works and some examples of how it can be used.

pyQvarsi also includes some executables that run tools to perform usual operations. The user is refered here for a thorough explanation.

Finally, a number of examples are provided as a means to demostrate the capabilities of the tool:

• example_FEM: A little example to show the FEM operations on a silly mesh.
• example_FEM_parallel: A little example to show the FEM operations on the cavtri_03 case.
• example_COMMU: A little example to read and compute the communications matrix (used for validation).
• example_MASSM: A little example to read and compute the mass matrix (used for validation).
• example_output: A little example how to use the output formats of this tool.
• example_output_parallel: A little example how to use the output formats of this tool in parallel.
• example_avg_parallel: An example on how to compute temporal averages and reduce with the tool.
• example_avgXZ_parallel: An example on how to compute temporal averages, average on the X and Z direction, reduce and compute the BL statistics from a channel flow using VELOC.
• example_avgXZ_AVVEL_parallel: An example on how to compute temporal averages, average on the X and Z direction, reduce and compute the BL statistics from a channel flow using AVVEL.
• example_dissi_parallel: An example on how to compute the dissipation and the Kolmogorov length and time scales.
• example_checkpint_parallel: An example on how to use the checkpoint when computing the dissipation.
• example_MEP: An example on how to apply MEP to obtain the regression.
• example_GEOM: An example on how to use the Geometry module in 2D.
• example_GEOM_3D: An example on how to use the Geometry module in 3D.

Please read the instructions carefully and address any questions to arnau.mirojane(at)bsc.es or benet.eiximeno(at)bsc.es.