[Paraview] Problems with memory footprint of parallel Paraview

[Herwig Zilken]

Hello,

I have some problems with the memory footprint of Paraview 3.14.0.
I run pvserver in parallel on 4 nodes of a cluster with 2 Paraview
processes on each node. Each node has 16GB main memory.
So in total I have 8 Paraview processes and 64GB main memory
(distributed on 4 nodes).

For testing purpose I loaded a dataset in hdf5/xdmf format with the xdmf
reader. The dataset is a simple uniform rectilinear grid with one float
attribute.
The size of the data is 16GB.

After loading the data everything seems reasonable. Each of the 8
Paraview processes allocates about 2GB main memory.
Then I create a contour. After that, each process allocates 2GB
additional memory (resulting in 4GB for EACH of the 8 processes),
although the memory inspector tells me that the generated contour is
just 145MB.
Then I create a slice (plane). Ones again, every process allocates 2GB
additional memory (resulting in 6GB total for each process) for a simple
plane (of 350MB).

Of course, things are even getting worse when I try to load a 32GB
dataset. Then every process allocates 4GB main memory, then 4GB in
addition, and so on...

Is there any solution for the strange behavior? Maybe I have to set some
special cmake compiler flags?


Thanks in advance,

Herwig







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