Putting this out to the community to see if there are any tips or tricks for processing large datasets
We are processing 11GB of imagery using a dual core i7 laptop with hyperthreading but can’t get it to process the imagery with more than (the equivalent of) 1 core (25%). We and have configured the processing options > resources to the maximum available 4 CPU threads.
We have the option of moving the processing into the cloud, if anyone can provide any recommended specifications on VM configurations that would be awesome.
*Edit Memory specs and some additional information
16GB RAM 256GB SSD
Using an attached 1TB USB3 drive as the source. This ran successfully at 100% for a 2GB dataset.