Memory usage explodes when generating global Ids for 1024^3 dataset
Hello all,
I use Paraview 5.10.1.
I would like to create in sequential a dataset that is 1024^3 that has global ids. For this, I use the following Pipeline:
Wavelet > ResampleToImage > GenerateGlobalIds
To create the 1024^3, I set the option of the second filter to:
resampleToImage1.SamplingDimensions = [1024,1024,1024]
Here is the complete pipeline I use: prepare_wavelet_1024.py
This pipeline always crashes due to a lack of RAM. If I instead use GenerateIds, then the Pipeline executes without any issue. This was tested on several computers, including one that has 128GB of RAM, which should be enough. The problem appears to happen when creating the kd-tree during GenerateGlobalIds.
Many thanks,