I was wondering if anyone had any experience of running SNAP on amazon web services, particularly in regard to performance of the graph processing tool.
The processes I will be running are basic processing of Sentinel-1 SLC imagery, including stages like splitting, coregistering, terrain flattening merging and terrain correction. To run my graph once takes about an hour on my laptop (4 cores, 16gb ram).
Specifically, I would like to know:
- Is it more efficient to have several instances, and run processes in parallel across these, or is it better to have one very powerful instance and run processes linearly?
- Is there a point in system resources where SNAP will no longer increase from increasing memory or number of cores?
- What are the best parameters for the gpt, in gpt.vmoptions?
Any other advice people have with regards to this topic would be very welcome. Otherwise I’ll just give it a go and report back!