Actualizado 19 Mar 2021
ParaPIV is a parallel processing tool for Particle Image Velocimetry (PIV) based on PIVlab. It aims to process PIV images efficiently on large scale parallel machines or multi-core computers.
Since PIV takes advantage of image correlations to obtain velocity field, the post-processing is always time-consuming, especially for turbulent flows. Thanks to the distributed computation toolbox of MATLAB and modern advanced computers, ParaPIV is able to calculate ten thousand image frames in minutes or seconds. With a 6 core intel i7 CPU PC, ParaPIV are 38 and 6.7 times faster than PIVlab 1.32 and PIVlab 1.41, respectively.
To activate the parallel computing function, open ParaPIV in MATLAB, click on the Analysis-> Parallel Computing, and select the number of CPU cores to use. Start the parallel pool by click the start button and wait for a few minutes. After the parallel pool is started, click the analyze all frames button as usual and images will be transferred and analyzed on multiple cores. The usage of CPU can be monitored through Task Manager. During the analysis the toolbar will remain grey (not enabled) and the process can not be interrupted since the tasks are processing in different cores.
Chun-Sheng Wang (2023). ParaPIV (https://www.mathworks.com/matlabcentral/fileexchange/63358-parapiv), MATLAB Central File Exchange. Recuperado .
Compatibilidad con la versión de MATLAB
Compatibilidad con las plataformasWindows macOS Linux
Inspirado por: parfor_progressbar, PIVlab - particle image velocimetry (PIV) tool with GUI
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|Versión||Publicado||Notas de la versión|
This version is based on PIVlab 2.41.
speedup option apart from parallel computing (2-3 times)
bug fix for vector validation gui
Those who do not have a matlab account can directly download the latest version of ParaPIV on the project website.
GUI bug fix
bug fix and new features
Updated user guide
Progress bar for both ParaPIVlab GUI and TUI
Compatible with MATLAB 2013a and after
ParaPIVlab in text user interface