Posts

Showing posts from November, 2011

A quick note on processing speed

Image
Soon, I will need to analyze a large dataset (441.000 image pairs), so I did some tests to speed up the data processing. When using a QuadCore computer (actually 8 virtual cores in this case), up to eight Matlab instances can run in parallel to increase speed. Running more instances will result in a decrease in speed. A similar effect is also possible with a DualCore computer. Running two Matlab instances in parallel increases the speed by almost 100%. If you also need to save time, you might try to split your data and run as many Matlab instances as there are (virtual) CPU cores on your computer. Starting the PIV analysis from the commandline (see example in PIVlab_commandline.m ), and starting Matlab with the " -nodesktop " command will additionally increase speed. Processing time for the analysis of one large image pair with multiple passes on different systems