Gpt and Snap performance parameters - exhaustive manual needed!

[MCG]

Hi,

I am trying to generate a DEM using SLC but I am facing some performance issues with gpt before getting a result. So far, I am trying to run this graph (in GPT) for the second sub-swath in one of the polarizatiosn

I have been reading on the forum about the different ways to set the configuration of GPT properly but still facing issues. I am using a Linux machine with 15 GB RAM

GPT Sentinel 1 TOPSAR coherence graph: GC overhead limit exceeded

Found a solution at http://forum.step.esa.int/t/gpt-performance/460 This is what I did: snap-conf-optimiser compute the best system options (the top compute button) and copy the VM parameters from the top line gedit $SNAP_HOME_DIRECTORY/gpt.vmoptions paste each parameter from the top line in snap-conf-optimiser to a new line in gpt.vmoptions Hope that helps others with same issue. James

Here is my gpt.vmoptions

I have computed the VM parameters on the snap-conf-optimiser and paste them in the gpt.vmoptions to update the settings of GPT. The process starts but at some point it runs out of memory

Any idea on how to proceed?
M