DEM mask to lower datatype size to reduce memory usage #344
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
martijn-siemerink
approved these changes
Dec 7, 2023
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
area_mask is a boolean mask, so i reduced the datatype to be 1 byte (unfortunately we cannot go lower than 1 byte in both python/numpy and fortran). A model that previously took more than 18GB now takes around 9GB. This is corresponding to the data reduction of 2 bytes integers to 1 byte.
The mem usage can be further reduced by not creating a padded copy of the DEM in Fortran in the
pad_area_maskroutine. Finally, going through the DEM in tiles will of course be most memory safe of all solutions :)